SUMMARY
Dengue is an acute mosquito-borne viral disease that is highly prevalent throughout the tropical world. The geographic footprint of the four dengue viruses (DENV-1 to -4) that cause this disease and their Aedes mosquito vector is expanding, extending into North America and Mediterranean Europe. Furthermore, although dengue has historically been a disease that disproportionately affects children, changing population demographics and increasing travel to and from the tropics have contributed to a growing incidence in adults. Dengue in adults, particularly older adults, brings fresh and complex challenges to case management. Although dengue is now a vaccine-preventable disease, the efficacy profiles of licensed vaccines as well as those in late-stage clinical development suggest that vaccination alone would not fully retard the global expansion of dengue. Other countermeasures, including antiviral drugs, will be needed. This paper reviews the molecular interplay underlying dengue pathogenesis, including from virological and immunological perspectives, which are foundational for developing antiviral therapies and new vaccines. It also reviews the hurdles facing antiviral development and discusses new insights on dengue immunity that can guide the deployment of imperfect vaccines to begin reversing the global burden of dengue.
KEYWORDS: dengue, dengue virus (DENV), host factors, host response, adult dengue, therapeutics, immunity, vaccines
INTRODUCTION
Dengue is an Aedes mosquito-transmitted acute viral disease. It is caused by infection with any one of four related but genetically distinct dengue viruses (DENV-1 to -4), belonging to the Orthoflavivirus genus in the Flaviviridae family. An estimated 100 million people fall ill with dengue each year, some with life-threatening severe dengue, although actual incidence fluctuates from year to year (1, 2). Not only are large numbers of endemic dengue cases reported throughout the tropics and in parts of the subtropics anually (3), but dengue also causes cyclical epidemics. These epidemics occur once every 3–7 years, with places having higher transmission intensity experiencing more frequent epidemics (4, 5). Surges in dengue cases during epidemics can profoundly overwhelm healthcare resources, leading to bed shortages and delays in access to elective healthcare procedures (6). Thus, beyond the health and economic burden on those who acquire dengue each year, epidemics also impose a major negative impact on the health of many with unrelated diseases. Indeed, the World Health Organization (WHO) has listed dengue as one of the top 10 major health concerns of this century (7).
Until the past decade, dengue prevention has relied almost exclusively on suppressing the mosquito vector population, especially Aedes aegypti (8); no other interventions were available. As Aedes aegypti is highly domesticated and adapted to the urban environment, reducing the abundance of Aedes larval breeding habitats, such as pails, unused flowerpots, and other water-containing or trapping receptacles, is an effective approach to reducing dengue incidence (9, 10). Such an approach, also known as source reduction, can result in remarkable control of dengue, as exemplified by the Aedes control programs of Cuba and Singapore (11). The major problem with such programs, however, is that with reduced Aedes aegypti abundance and virus transmission, population immunity to DENV infection is also lowered. Consequently, even with a few Aedes aegypti mosquitoes, epidemics continue to occur, as exemplified by the experience of Singapore (8, 12).
Fortuitously, there are now additional approaches to controlling dengue besides source reduction. Dengue is now a vaccine-preventable disease (13). Moreover, introgression of Wolbachia, an endosymbiont that reduces vectorial capacity of Aedes aegypti, has also shown efficacy in preventing symptomatic dengue at levels comparable with vaccination (14). Indeed, emerging evidence suggests that combining Wolbachia-based vector control with vaccination may yield synergistic or additive effects (15), further enhancing population-level protection against dengue. However, variability in introgression rates and hence efficacy in dengue prevention can be expected due to local climatic and environmental factors (16). Other tools, including the use of Wolbachia for Aedes aegypti population suppression (17) and genetically modified mosquitoes that are refractory to DENV infection (18), are in various stages of development.
Unfortunately, despite the availability of new tools to control dengue, the global burden of dengue is likely to worsen (19). Multiple reasons contribute to this worsening trend. With continued transnational travel and trade, along with climate change, the geographic distribution of dengue will continue to expand both northwards and southwards. More places will become hyperendemic for dengue, where all four DENVs circulate at any given time, making sequential infections even more likely (20, 21). Changing demographics of dengue patients, which is happening in many places, have now shifted dengue from a disease that disproportionately affects children to one that increasingly afflicts adults and older adults (22). Such a changing geographic distribution of dengue and patient demographics calls for new countermeasures to reverse the growing global dengue burden and reduce the rate of preventable morbidity and mortality. This review is thus focused on reviewing the knowledge on DENVs, dengue pathogenesis, and immune mediators of protection that are foundational for tackling new challenges in case management, as well as therapeutic development and vaccine application.
DENV AND DENV INFECTION
DENVs are enveloped, single-stranded, positive-sense RNA viruses. Each of the four DENVs has a genome that is approximately 11 kb in length. An estimated 70% of the nucleotide sequence is shared, with further genetic diversity within each of the four DENVs (23); each of the four DENVs can be further subdivided based on full-length genome sequences into genotypes, and each genotype further classified into major and minor lineages (23). The open reading frame (ORF), which encodes 10 proteins, is flanked by 5′ and 3′ untranslated regions (UTRs) (Fig. 1). Both the 5′ and 3′ UTRs contain nucleotide sequences that form secondary RNA structures through base pairing. These RNA structures are highly conserved as they are necessary for virus replication (24–27). Furthermore, the 5′ and 3′UTRs also contain sequences that base pair to cyclize the DENV genome for replication (28–30). The structures within the 5′ and 3′UTRs, along with the function of these structures, have been reviewed elsewhere (31).
Fig 1.
Schematic representation of DENV. (A) Cross-sectional representation of the virion and the encapsulated DENV positive-sense RNA genome. (B) Schematic representation of the DENV RNA genome. Both the 5′ and 3′UTRs are highly structured and here, for the sake of simplicity, are represented by straight lines. The ORF of the genome consists of 10 genes, three of which encode structural proteins, whereas the remaining seven encode non-structural proteins.
Besides the secondary RNA structures in the 5′ and 3′UTRs, base pairing also occurs in the other parts of the DENV genome, including within the ORF (32, 33). Secondary RNA structures within the ORF are less well characterized, although some appear necessary for viability of DENVs; synonymous substitutions that potentially disrupt these RNA-RNA interactions can reduce infection (33). Moreover, several of these secondary RNA structures were found only in extracellular DENV particles. The disruption of these secondary RNA structures through site-directed synonymous substitutions suggests that beyond virus-host interactions, these secondary RNA structures in the ORF may be important for packaging of the RNA for encapsulation (33).
The ORF is translated in the host cytoplasm as one single polypeptide. This polypeptide is then co- and post-translationally cleaved into the individual proteins by host and viral proteases (34). Of these 10 proteins, three are structural: capsid (C), pre-membrane (prM), and envelope (E). The C protein forms dimers and encapsulates the newly formed RNA genome (35, 36), which it releases upon infection of new susceptible cells through ubiquitylation in the cytoplasm (37). It is then enveloped by lipid membranes derived from the endoplasmic reticulum (ER), with the prM and E proteins embedded. The prM protein acts as a chaperone to prevent premature fusion of the E protein with ER and Golgi membranes during egress; it is further cleaved into the pr peptide and membrane (M) protein (38). The E protein is organized as a dimer on the lipid membrane of virions, which trimerizes in an acidic pH environment to enable fusion with the endocytic membrane upon infection (39).
All of the remaining non-structural (NS) proteins are involved in forming the RNA replication complex and avoiding host innate immune responses. Detailed review on the structure of the complex, as well as the functions of the individual NS proteins in immune evasion, can be found elsewhere (40–42).
UPDATES ON DENGUE PATHOGENESIS
DENV infection
DENV enters the target cells, mostly of myeloid lineages in human infections (43), either through binding cognate plasma membrane receptors, of which there are several candidates, or through activating fragment crystallizable gamma receptors (FcγR) (44). The latter occurs when antibodies that develop after a primary infection bind a heterologous DENV, causing a secondary infection and facilitating DENV-immune complex uptake by myeloid-derived cells via activating FcγR (45). Acidification of the endosome or phagosome leads to trimerization of the E protein that then initiates fusion with endosomal/phagosomal membranes (39). The nucleocapsid is then released into the cytoplasm. Viral RNA is released from the capsid upon ubiquitylation (37), whereupon translation of the viral proteome, replication of the viral RNA, and assembly of new virions occur on the ER (Fig. 2). Newly formed DENV would then mature, where the pr peptide is cleaved from the M protein through host furin activity (46), and egress via the trans-Golgi network; the pr peptide separates from the virion in the extracellular space (47) (Fig. 2). However, DENV maturation is not completely efficient. Newly formed DENVs contain a mix of mature, partially mature, and immature viral particles—the latter two categories of virions could have immune evasion properties (reviewed in reference 48). Besides newly formed virions, infected cells also secrete the viral NS1 protein (Fig. 2), the function of which may have implications for disease pathogenesis, which is discussed in later sections of this review. Although the structure of the individual NS1 and, hence, how NS1 dimers form in the ER have been resolved (49), the structure of the secreted NS1 (sNS1) protein is still a subject of debate; different cryo-electron microscopy studies have shown them to be either dimeric (50), tetrameric, or hexameric (51).
Fig 2.
Lifecycle of DENV in a mammalian cell. The lifecycle is represented from left to right in an anticlockwise direction. DENV infects the cells through either receptor-mediated endocytosis or FcγR-mediated uptake. Fusion of the viral membrane via conformational changes in the E protein releases the capsid and RNA into the cytoplasm. RNA is released from the capsid upon ubiquitylation of the capsid, whereupon the RNA undergoes translation and replication in highly reorganized ER membranes or replication organelles. Assembly of new virions occurs with the replication organelles before egress via the trans-Golgi pathway. Besides new virions, infected cells also secrete the NS1 protein into the extracellular space.
DENV-host interactions
Given the very limited proteins encoded within the DENV genome, DENV necessarily interacts with host cell components to supplement its limited proteome to complete its lifecycle in infected cells. These interactions involve not only host proteins (52, 53) but also host RNA and lipids (41). The requirement for such interactions, as well as the molecules with which DENVs necessarily interact, can be gleaned from functional genomics studies. These studies using knockdown or knockout approaches have identified host genes, which when disrupted, reduced the number of DENV progeny produced during infection (54–56). These genes thus encode molecules essential for successful DENV replication and are commonly referred to as host factors or host proviral factors. Conversely, genes, which led to increased DENV replication when disrupted, encode host-restrictive or antiviral factors. Thus, the efficiency of DENV infection is influenced by the availability of proviral factors and the suppression of restrictive factors.
Many of the host proviral factors are proteins involved in ER function (53). This is perhaps not surprising since DENV RNA replication, transcription, and translation, as well as progeny assembly, all happen on ER membranes (57). Imaging studies of DENV-infected cells have found extensive rearrangements of ER membranes into replication organelles, which facilitate DENV RNA genome synthesis, viral protein translation, and virion assembly (57, 58). Besides viral replication, the reorganization of the ER in DENV-infected cells may also serve an immune evasion function. As the mitochondria are closely linked to the ER and play important roles in both innate and adaptive immune responses, formation of replication organelles could also disrupt mitochondrial function to dampen innate immune response within infected cells (59). More details on DENV replication organelles can be found elsewhere (60, 61).
Despite the genetic differences between the four DENVs and other orthoflaviviruses, functional genomics studies have revealed common proteins critical for successful infection (62). For example, host proviral factors that have been universally found among the top hits in CRISPR/Cas9-based screens on DENVs (56, 62–64), as identified using a recently developed search system (65), are all ER membrane proteins (Fig. 3). Finally, infection requires energy. Consequently, DENV also requires interaction with proteins that regulate mitochondrial function (66) and metabolism (64).
Fig 3.
Host factors shared by all four DENVs. (A) Genes (green dots) identified from published CRISPR-Cas9 screens as required host factors of all four DENVs. Knockout of these genes abrogated DENV infection. (B) Proteins encoded by these genes and the cellular compartment in which these proteins are commonly found. Data from reference 65.
Host-restrictive factors are mostly but not exclusively part of the innate immune system (reviewed in reference 67). A well-known group of host-restrictive factors is those involved in the type-I interferon (IFN) response. Type-I IFN can be induced by host pattern recognition receptors (PRR), which can detect both viral proteins as well as viral RNA (68, 69). Plasma membrane and cytoplasmic sensors, such as toll-like receptors (TLR) and retinoic acid-inducible gene-I (RIG-I), can sense viral proteins, as well as viral RNA during infection and upon uncoating of viral RNA (reviewed in reference 68). Upon activation of any of these PRRs by DENVs in the course of infection, a cascade of signaling factors would be initiated, resulting in the expression of type-I IFN. Secreted type-I IFN then functions in an autocrine or paracrine manner to induce interferon-stimulated genes (ISGs), such as interferon-induced transmembrane protein 1 (IFITM1), to inhibit DENV infection (70). In vitro studies have shown that the paracrine activity of type-I IFN is more effective than the autocrine functions; addition of exogenous type-I IFN to cells after DENV infection is not as effective in restricting DENV infection as addition before infection (71, 72). ISGs are thus more effective at restricting the dissemination of DENV infection systemically than controlling infection within infected cells.
Besides host proteins, host RNA also plays an important role in supporting or restricting DENV infection. Among the host RNAs are microRNA (miRNA). MiRNAs are small, single-stranded, non-coding RNAs that regulate gene expression at the post-transcriptional level. MiRNAs can both support DENV infection or mediate antiviral functions. Several in vitro studies have suggested several miRNAs that support DENV infection (73, 74). On the other hand, miRNAs that were found to be differentially expressed in dengue seropositive compared with seronegative individuals living in a highly endemic area, showed antiviral functions (75). Indeed, an unbiased RNA-RNA interactome study has shown that DENV RNA interacts with host RNA, which may either be pro-viral or antiviral in function (76). How these miRNAs support or antagonize DENV replication and are regulated during infection remains to be determined.
Virus genetics and infection
Given the interactions between viral proteins and RNA with host factors and their avoidance of host innate immune sensors, genetic differences could have major implications on infection outcome and pathogenesis. Broadly speaking, DENV-1, -2, and -3 are responsible for much of the global dengue burden; DENV-4 has been associated with fewer outbreaks than the other three DENVs (3). Furthermore, genetic differences within each of the four DENVs can also impact dengue epidemiology and infection outcome. Indeed, the influence of viral genetics on pathogenesis can be gleaned from the successful demonstration of safety in the tens of thousands of volunteers who have participated in clinical trials of live-attenuated dengue vaccines. Among the dengue vaccines that have either been licensed or completed phase III clinical trials, TAK-003 contains the attenuated DENV-2 strain, PDK53, whereas TV003 contains attenuated DENV-1, -3, and -4. The other components of these two vaccines are chimeric viruses and would thus not be considered in this discussion.
Compared with its wild-type parent, the DENV-2 16681 strain that was isolated from a dengue patient, PDK53, generated by 53 passages in primary dog kidney cells, contains one nucleotide substitution in the 5’UTR and five non-synonymous substitutions in the ORF (77). Among the five amino acid substitutions in PDK53 ORF is the glycine to aspartic acid substitution on position 53 of the NS1 protein (NS1 G53D). This substitution was shown to compromise the interaction between NS1 and the oligosaccharide transferase complex (OST). Reduced OST complex enzymatic activity lowered NS1 protein glycosylation, resulting in misfolding that attenuates infection in both Aedes aegypti and human cells (78). As few as one mutation could thus have a major impact on DENV pathogenesis.
Besides vaccine strains, epidemiological observations also suggest an association between DENV genetics and dengue epidemics (79, 80). Indeed, the association between the emergence of new viral phylogenetic clades and epidemic dengue has been reported in several locations globally (81–88). However, mechanistic explanations for how genetic differences alter the epidemiological fitness of DENV have, with a few exceptions, mostly remained undefined (reviewed in reference 89). The following examples show how as few as one mutation could have a major impact on the epidemiological phenotype of DENV.
Dengue epidemiology in the South Pacific in the 1970s and the dengue epidemic in Puerto Rico in 1994 are two such examples. An American genotype of DENV-2 emerged in French Polynesia in the early 1970s, which then spread rapidly to the neighboring islands, including New Caledonia, Niue, and Fiji. In all these islands, the epidemics were severe, with many developing the more severe form of dengue (90). However, no outbreak was detected in Tonga when this DENV-2 emerged in 1974; only mild febrile cases were encountered (91). Phylogenetically, the DENV-2 that emerged in Tonga segregated from those isolated from the other South Pacific islands (86). Among the genetic differences, a recent investigation was able to attribute the epidemiological phenotype to a single nucleotide substitution in the prM protein, which compromised viral genome translation, likely through codon usage bias. This mutation, however, encoded a histidine-to-arginine substitution in position 86 of the prM protein, which improved the infection of Aedes aegypti midgut. The arginine residue could maintain the positive charge despite the basic pH in the mosquito midgut to enable DENV-2 attachment to receptors with negative charge for viral entry (92). Thus, despite the apparent reduced fitness in human cells, the DENV-2 that emerged in Tonga was able to sustain transmission for several years (91).
Conversely, an Asian-American genotype of DENV-2 that emerged in Puerto Rico in 1982 did not cause an outbreak until 1994. Autochthonous transmission enabled the virus to accrue substitutions in its genome. In particular, five amino acid substitutions in the NS5 protein (93) and three nucleotide substitutions in the 3′UTR (94) enabled the virus to generate more subgenomic RNA relative to its genomic RNA. Subgenomic RNA, also known as subgenomic flavivirus RNA (sfRNA), is a product of host exonuclease 1 (XRN1), which digests viral RNA from a 5′-to-3′ direction, until the enzyme stalls due to the secondary and pseudoknot RNA structures in the 3′UTR (95, 96). Besides stalling XRN1, the highly structured sfRNA also interacts with many other host factors and is required for pathogenicity (97, 98). Mutations in the NS5 resulted in a slower rate of genomic RNA replication, allowing the rate-limiting XRN1 to generate relatively more sfRNA compared with gRNA (93). Moreover, the three nucleotide substitutions in the 3’UTR increased the binding of sfRNA to host TRIM25 protein. TRIM25 is an E3 ligase that ubiquitylates the cytoplasmic RNA sensor, RIG-I, to amplify and sustain RIG-I-mediated signaling for type-I IFN induction. Inhibition of TRIM25 thus compromised type-I IFN response to infection, thereby allowing a greater level of systemic dissemination (94).
Given the large differences in clinical and epidemiological phenotypes from as few as a single mutation in the DENV genome, it is rather unfortunate and even alarming that functional genomics studies have only compared host factor requirement differences between the four DENVs. Only one study has performed a CRISPR/Cas9 screen to show how a single mutation altered host factor requirements. This study found that a single amino acid substitution in the NS2B protein, which reduced NS2B interaction with the signaling intermediate molecule STING, necessitated additional host factors–EID3, NEK5, and RAD21–that repair damaged DNA, increased mitochondrial activity, and hence DNA damage needed to be controlled for successful infection (63). Functional genomics of closely related DENV strains with interesting clinical and epidemiological phenotypes could yield useful insights into virus-host interactions critical for pathogenesis and transmission.
Antibody-enhanced infection
The four DENVs share approximately 60%–70% of their structural antigens (99). Infection with one DENV would therefore not only induce type-specific (homotypic) antibodies, which recognize and bind to epitopes on the E protein unique to the homologous DENV and typically strongly neutralize that DENV, but also induce cross-reactive (heterotypic) antibodies that bind to conserved E protein epitopes shared among all four DENVs with varying degrees of neutralizing activity (100, 101). Following infection with any DENV, the adaptive immune response that develops provides long-term immunity to the homologous virus, although breakthrough re-infection with the same DENV type has been reported (102, 103). Cross-protection from heterologous DENV infection is temporary: human challenge studies by Albert Sabin suggested that this cross-protection lasts approximately 3 months (104, 105), whereas epidemiological studies estimate a longer duration of approximately 2 years (106, 107). With hyperendemicity, sequential infections with heterologous DENVs have become prevalent (20).
Not only is cross-protective immunity short-lived, but adaptive immune response to one DENV appears to increase the risk of severe secondary infection with a heterologous DENV (82). Although severe dengue can occur in both primary and post-primary infections (108, 109), the risk appears to be the highest in secondary heterologous DENV infection (110, 111). This increased risk of severe dengue is widely accepted to be mediated by antibody-dependent enhancement of DENV infection (ADE). First postulated by Halstead (112, 113), ADE occurs when cross-reactive antibodies or sub-neutralizing levels of IgG antibodies bind heterologous DENV to facilitate virus entry through activating FcγRs that are expressed on myeloid-derived cells such as monocytes, macrophages, and dendritic cells. Furthermore, FcγR-mediated virus entry appears more efficient than cognate receptor-mediated endocytosis (114), although non-antibody-mediated infection could be mediated by more than one receptor (115). Perhaps the strongest evidence for ADE is the association between severe DENV infection in infants at a time when maternal antibodies wane to sub-neutralizing levels (116–118). As transplacental transfer of maternal immunoglobulin is limited to IgG antibodies, the increased risk of severe dengue provides an opportunity to understand ADE clinically (119).
Although most studies on ADE have focused on anti-DENV IgG antibodies that interact with FcγRs, it is worth noting at this point that the different classes of antibodies can compete with IgG for binding to DENV and nuance infection outcome. Before class-switching from IgM to IgG, a single pentavalent IgM can concurrently bind 10 antigen-binding sites, compared with just two with IgG, resulting in greater virus neutralization potency (120). Monomeric IgA antibodies also develop following infection (and likely vaccination) to compete with IgG for DENV. Furthermore, the interaction of the IgA-DENV complex with FcαR does not result in ADE (121, 122). However, both IgM and IgA antibody titers decay after recovery from infection and do not persist at levels comparable with IgG.
Besides competition from different classes of antibodies, the lack of universality in increased risk of severe dengue in infants from waning maternal anti-dengue IgG titers could be because ADE requires more than just FcγR-mediated entry. Activating FcγR signals through the immunoreceptor tyrosine-based activation motif (ITAM), which activates the spleen tyrosine kinase (SYK) and signal transducer and activator of transcription-1 (STAT-1) (Fig. 4). Activated STAT-1 would then induce the expression of interferon-stimulated genes (ISGs) to effect antiviral functions (123). For enhanced DENV infection, DENV thus has to avoid activating this signaling pathway through, at least in part, binding the leukocyte immunoglobulin-like receptor B1 (LILRB1) (114, 124) (Fig. 4). Such altered signaling despite activating FcγR-mediated entry could alter not only cellular intrinsic response to infection (125–127) but also trafficking of DENVs to cellular compartments more suited for replication (128).
Fig 4.
Ratio of IgG:DENV affects the outcome of interactions with myeloid-derived cells. Antibody-dependent enhancement of infection requires an optimal IgG:DENV ratio. High IgG titers can aggregate DENV to co-ligate the inhibitory FcγRIIB, the signaling of which prevents DENV entry. At a lower IgG:DENV ratio but at stoichiometry that blocks fusion, DENV infection would remain neutralized. Furthermore, activating FcγR signaling would induce STAT1 phosphorylation and ISG expression to inhibit DENV infection. To avoid STAT1 activation, DENV binds LILRB1 to inhibit early ISG expression for enhanced infection.
However, not all secondary infections have resulted in increased risk of severe dengue. Prospective cohort studies have shown that the risk appears to rise and ebb within a specific range of antibody titers (101, 129). Indeed, instead of activating FcγR, high titers of cross-reactive antibodies could aggregate DENVs to bind and co-ligate the inhibitor FcγRIIB (or CD32B), which has a cytoplasmic immunoreceptor tyrosine-based inhibitory motif (ITIM) (130), the signaling of which inhibits DENV entry (131) (Fig. 4). Furthermore, the glycosylated state of IgG antibodies could further influence the type of activating FcγR that DENV-IgG complex engages. Several studies have shown that afucosylated anti-DENV IgG antibodies selectively bind FcγRIII (or CD16), which is more highly expressed on non-classical (CD14+ CD16++) monocytes, which are more pro-inflammatory in response to infection (132–134). Finally, even ADE from waning titers of maternal antibodies may be influenced by the type of DENV. Although infection with any of the four DENVs can cause severe disease, infection with DENV-2 (116, 118), but not DENV-3 (135), appears, at least in infants, to be associated with a high risk of severe dengue. Field studies of both dengue in infants, as well as those in older children, have also found differences between the four DENVs in the rate of symptomatic primary and secondary infection (136). Furthermore, there are limited data, suggesting that the antigenic differences between the DENV responsible for primary and secondary infections may also influence secondary dengue outcome (137). Clearly, a detailed dissection of the nuances of ADE with each of the four DENVs is still much needed.
Besides the production of antibodies by long-lived plasmablasts, prior DENV infection also produces memory B cells that express anti-DENV B cell receptors (BCRs). Recent findings suggest that such BCRs could bind DENV and serve as entry receptors for memory B cell infection (138, 139). The significance of memory B cell infection, however, is not entirely clear at this stage. It is possible that infected memory B cells act as Trojan horses when they migrate into lymphoid tissues to disseminate infection of myeloid-derived cells (138).
Immunopathogenesis
Multiple factors converge on downstream pathogenic pro-inflammatory responses and plasma leakage (Fig. 5). DENV infection burden, as measured through viremia levels in dengue patients, has shown positive correlation with disease severity (140, 141). Greater levels of DENV infection would result in more viral antigenic burden that exacerbates the pro-inflammatory response, ultimately resulting in increased vascular permeability; excessive vascular leakage could lead to shock, hemorrhage, and end-organ failure (142). One such DENV antigen that has been proposed to exacerbate inflammation is the secreted NS1 (sNS1) protein (143) (Fig. 2). In experimental mouse models, sNS1 has been shown to cause vascular leakage by directly causing endothelial dysfunction (144) and as a driver for the release of proinflammatory cytokines from immune cells (145, 146). Treating these mouse models with anti-NS1 antibodies (147, 148) or vaccinating the animals with NS1 antigen (149) protected against lethal DENV infection. However, the evidence from clinical studies is less clear. Studies that favor (150) or disfavor (151) the sNS1-driven pathogenesis hypothesis have been reported. Plasma sNS1 is more likely to be undetectable in patients with secondary compared to primary DENV infection (152). Furthermore, plasma NS1 can be detected in primary dengue patients well into convalescence (153). The disconnect between animal models and clinical observations on the role of NS1 will require further investigations.
Fig 5.
Contributors to severe plasma leakage. A summary of the factors that have been shown to contribute to increased viral burden (both increased DENV infection/replication or reduced DENV clearance), as routinely measured by viremia. Increased viral burden stimulates production of pro-inflammatory cytokines to levels that damage endothelial cell integrity, resulting in plasma leakage. ADE: Antibody-dependent enhancement.
Regardless of which DENV protein, RNA, or host factors such as mitochondrial DNA activate PRRs in infected cells, the signaling cascade from high viremia or viral burden results in high levels of plasma pro-inflammatory cytokines, or cytokine storm (reviewed in reference 154). Cells that express such cytokines are the myeloid-derived cells targeted by DENVs (138) and also other cells, including mast cells (155, 156) and neutrophils (157–160). The pro-inflammatory response activates endothelial cells, causing them to express adhesion molecules, reduce production of nitric oxide, and alter both structure and function of the glycocalyx (161–163). The hyperinflammatory states in patients with severe dengue could be further exacerbated by compromised cell-mediated immune functions against DENV infection (164, 165). Unbiased immune cell profiling has also shown an association between dysfunctional T cells and higher levels of plasmablasts in hospitalized compared with ambulatory dengue patients (166, 167). Finally, more recent studies in patients with severe dengue have independently shown that natural killer (NK) cell dysfunction could also underpin disease severity (138, 168). Indeed, gene expression in immune cells can potentially be a prognostic marker of severe dengue (169–171).
Host susceptibility factors for severe dengue
As multiple interactions and molecules involved in dengue pathogenesis, it is thus not surprising that host genetic polymorphisms are associated with dengue severity. Given the roles of ADE, dysfunctional T cells, and inflammation in dengue pathogenesis, polymorphisms in genes of activating FcγRIIA (172, 173), inflammatory and anti-inflammatory cytokines (174, 175), and human leukocyte antigens (HLA) (176, 177) have also shown association with dengue severity. Likewise, as metabolism regulates immune cell function (178, 179), polymorphisms in oxysterol binding protein-like 10 (OSBPL10) and retinoid x receptor alpha (RXRA) genes may explain the reduced susceptibility of those of African descent to severe dengue (180). The only genome-wide association screen (GWAS) that has been published thus far, which compared over 3,500 severe dengue cases with almost 5,000 healthy volunteers, identified disease susceptibility loci in the MHC class I chain-related protein B (MICB) and phospholipase C epsilon 1 (PLCE1) genes (181). These GWAS findings were validated in a separate study in Thailand, where single-nucleotide polymorphisms in MICB and PLCE1 genes showed higher and lower risks for DSS, respectively (182). Remarkably, MICB is a receptor on NK cells and PLCε1 is involved in intracellular signaling, both of which are involved in dengue pathogenesis, as discussed above (Fig. 5).
CHANGING DENGUE EPIDEMIOLOGY
Worsening global dengue burden
Dengue is prevalent throughout the tropical world and rapidly encroaching into the subtropics (Fig. 6). Its geographic distribution has been driven by urbanization, global trade, and travel (183). These human activities have spread both DENVs and Aedes vectors. For instance, after the successful Pan American Aedes eradication program was halted in the 1960s, Aedes aegypti was reintroduced into the Americas as early as the 1970s; ensuing increase in trans-continental travel introduced DENVs back into cities of Latin America, causing repeated outbreaks (184). Furthermore, populations in urban centers around the world are also growing; more than half of the world’s population now lives in cities, where Aedes aegypti thrives (11). Many of these cities lack proper public health programs, such as providing a reliable water supply and reducing the number of domestic water containers that serve as Aedes larval habitats and daily garbage disposal, to prevent DENV transmission (19).
Fig 6.
Global distribution of dengue cases. The map is based on the data collected between June 2024 and May 2025. Source: European Centre for Disease Prevention and Control (https://www.ecdc.europa.eu/en/publications-data/twelve-month-dengue-virus-disease-case-notification-rate-100-000-population-june).
Compounding the increased international travel and trade activities, as well as urbanization, is climate change–a challenge of the 21st century. It is reshaping the environment and human activities in profound ways. The impact of rising temperatures and sea levels, as well as less predictable seasonal weather patterns with more frequent extreme weather events, such as El Niño and La Niña events, not only impacts the environment but also dengue. For instance, meteorological phenomena such as South Indian Ocean oscillations have been shown to predict long-term global trends (185). With climate change, dengue is expected to increase even further in the coming years (186). Indeed, the year 2024 has witnessed the highest ever dengue incidence globally (187). Besides worsening dengue in endemic regions, climate change is also contributing to the expansion of dengue outbreaks into new geographical regions, both northwards and southwards, as well as in places with high altitudes (188). Dengue, which traditionally occurred between latitudes 35° north (N) and 25° south (S), has now been reported as far north as 45°N and as far south as 35-40°S, particularly during warmer seasons (186). Areas previously considered low-risk for dengue, such as Mediterranean Europe (189), continental United States of America (190, 191), and China (192), have in recent years encountered autochthonous dengue cases. Nepal has also reported an increasing number of cases in populations living at altitudes even higher than previously encountered (193).
The combination of climate change and increased urbanization has thus resulted in the geographical expansion of environmental suitability for the vector and subsequent increase in the human population at risk of dengue.
Dengue in travelers
With an increase in the number of travelers to dengue endemic regions, such as Southeast Asia, for both work and leisure, the incidence of travel-associated dengue cases has increased (194), along with more cases of severe and fatal dengue (195, 196). Likewise, dengue-infected travelers from endemic regions to places with established suitable vectors may seed the spread of dengue and consequent outbreaks (192, 197).
Besides increased dengue incidence, the geographic expansion of dengue into new regions poses a second problem. Low awareness of dengue could delay clinical recognition and, hence, appropriate diagnosis and management of dengue patients. Delayed diagnosis could also affect the timeliness of public health response to prevent local DENV transmission and outbreaks. Furthermore, case management may not adhere to guidelines, again due to the lack of familiarity with dengue among healthcare professionals in non-endemic settings (198).
Changing population structure in dengue endemic regions
Even in dengue-endemic regions, changes in the demography of dengue cases can also complicate diagnosis and management. In particular, the incidence of dengue in older adults is increasing.
Different factors have contributed to the changing demography of dengue patients in different places. First, in places with a long history of dengue control, such as Cuba and Singapore, reducing the transmission for decades has paradoxically increased the proportion of adults who remain vulnerable to symptomatic DENV infection. The increased susceptibility to dengue with dengue control can be seen from the series of serological surveys, showing lowered seroprevalence rate over the years in Singapore (199–202), since the inception of its Aedes control program in 1970 (10, 12). In Singapore, adult dengue cases now form nearly 90% of all reported cases (8). Furthermore, with an aging population, the proportion of dengue cases in individuals 55 years and older constitutes approximately 20% of all cases (203). Similarly, in Cuba, dengue outbreaks have affected older adults, with disproportionately increased risk of severe disease (204, 205).
Besides dengue control, changes in population structure due to immigration and emigration in dengue endemic regions can alter the demographic structure of the population that is susceptible to dengue (206). Likewise, lowered birth rates have reduced the force of infection, result in an increasing age of dengue patients in Thailand; the mean age of dengue patients has shifted from 8 years in 1981 to 24 years in 2017 (22).
The collective effects of the expansion of dengue into previously non-endemic places, changes in population demographics, and reduced transmission rate from mosquito control programs in a limited number of places are that dengue in adults and especially older adults has become more prevalent (203). As dengue pathogenesis closely involves the immune response to infection, an aging immune system may add nuances to the pathobiology of dengue in older adults. Aging affects both the innate and adaptive immune systems (207, 208). Changes have been observed in the activation of neutrophils, NK and NK T cells, monocytes and macrophages, dendritic cells, as well as B cells and T cells (209). Furthermore, senescent monocytes may upregulate DC-SIGN expression and entry receptor that increases susceptibility to DENV infection (210). The impact of the aging immune system on dengue pathogenesis remains to be explored in detail.
NEW CASE MANAGEMENT CHALLENGES
Dengue in the older adult
Although the extent to which an aging immune system alters dengue pathogenesis is unclear, managing dengue in older adults presents clear clinical challenges. Current case management approaches have been developed through studies in pediatric dengue cases (142, 211). Children are at greater risk of uncompensated plasma leakage as even under healthy conditions, the rate of plasma leakage is highest in the early years of life (212); superimposition of DENV infection-induced cytokine response that exacerbates leakage thus increases the risk of shock. With increasing age, however, the risk of uncompensated plasma leakage is lower. There are also clinical nuances between plasma leakage in children compared with adults. In a systematic review and meta-analysis, pleural effusion was much more common in children (defined as 17 years old and younger) compared with adults at 43% versus 13% (213). In addition, the occurrence of pleural effusion was associated with severe dengue in children but not adults (213). Other manifestations of plasma leakage, such as ascites, also appear to be more common in children compared with adults (214). However, adult dengue patients may be at greater risk of other complications, including internal bleeding and organ dysfunction (215, 216). Consequently, despite the differences in plasma leakage, older adults remain at risk of severe dengue outcomes, including mortality (217–221).
The initial presenting signs and symptoms of dengue also appear to differ between pediatric and adult patients. Children more commonly present with symptoms such as fever, rash, and pruritus, whereas adults are more likely to present with symptoms such as headache, myalgia, and arthralgia (222–224). Nuances can also be found in the platelet count and serum biochemistry (216, 222–225). Similarly, there are also differences in the rate of vascular leakage and internal bleeding between children and adults with dengue (216, 226). Table 1 provides an overview of these differences.
TABLE 1.
Differences between pediatric and adult dengue
| Children | Adults | References | |
|---|---|---|---|
| Clinical presentation | More common symptoms:
|
More common symptoms:
|
(222–224) |
| Hematology and serum biochemistry |
|
|
(216, 222–225) |
| Complications |
|
|
(216, 226) |
Besides the differences in clinical features between dengue in adults compared with children, older adults with dengue bring additional challenges. Older adults with dengue may present with highly attenuated symptoms (227). Consequently, the sensitivity of the WHO diagnostic criteria for dengue is lower in older compared with young adults (227). Furthermore, as dengue itself mostly presents as an acute undifferentiated fever and cannot be easily differentiated from other causes of acute febrile illness (228), atypical presentation may further hinder timely diagnosis and management in older adults.
In the absence of a licensed antiviral drug against dengue, treatment for dengue patients remains primarily supportive. In this context, it is noteworthy that, despite the differences in plasma leakage and severe dengue between children and adults (213), the clinical management of older adults remains extrapolated from those developed for the pediatric population. In particular, randomized clinical trials on fluid replacement to support blood pressure during plasma leakage, which is central to dengue management, have thus far only been conducted in pediatric dengue patients (229–233).
Systematic review and meta-analyses have consistently found that co-morbidities that affect the vascular health of patients, such as obesity (234), diabetes, renal disease, hypertension, and cardiovascular disease, are associated with severe dengue and death (235). Besides worsening risks of severe dengue, pre-existing cardiac or renal conditions further complicate the management of the fluid balance critical to optimal outcomes of dengue patients with severe plasma leakage (236). Perturbations of baseline physiology and medications used in the treatment of cardiac and or renal conditions, such as beta-blockers or diuretics, could also make it difficult to monitor for complications and timely medical intervention. For example, beta blocker use may block tachycardic response in shock and mask intravascular hypovolemia. Patients with chronic renal failure or heart failure are likely to have limited fluid tolerance, and standard fluid replacement regimens may result in fluid overload. Urine output measurement, which is recommended as part of standard dengue monitoring, may be inaccurate as an indicator of intravascular volume status in this group of patients. Unfortunately, no specific guidance on fluid replacement currently exists for dengue patients with underlying cardiac or renal failure.
Compared with pediatric dengue patients, adult patients often develop more significant thrombocytopenia (216). Platelet counts of <20,000 /mm3 are not uncommon during the critical phase of acute dengue, although bleeding manifestations are generally mild and self-limiting in most patients (237–239). A small minority, however, do go on to develop clinically significant hemorrhage, often in the context of prolonged shock, coagulopathy, or pre-existing co-morbidities, including chronic liver or kidney disease (240, 241). Current evidence does not support routine use of prophylactic platelet transfusion in patients with dengue, with several studies demonstrating that platelet transfusion did not prevent bleeding, hasten platelet recovery, or improve clinical outcomes (239, 242). Even in adult dengue patients whose platelet counts were <20,000 /mm3, prophylactic platelet transfusion not only showed no benefit but also was associated with a higher incidence of transfusion-related adverse events (239). Thus, platelet transfusion should be reserved for patients with active bleeding or those requiring invasive procedures where bleeding risk is deemed significant.
Dengue-induced thrombocytopenia may also present significant challenges in the management of patients requiring mandatory anticoagulation, such as those with prosthetic heart valves. In these individuals, the risk of bleeding must be balanced against the potentially life-threatening consequences of thromboembolic events following interruption of anticoagulation therapy. Currently, there are no specific evidence-based guidelines for the management of anticoagulation or antiplatelet therapy in the context of dengue-induced thrombocytopenia. As such, clinical decisions are largely individualized, based on an assessment of bleeding risk versus thrombotic risk, which depends on the underlying indication for anticoagulation, co-morbid conditions, and duration of therapy interruption (243–245). In such cases, a multidisciplinary approach involving infectious disease physicians, hematologists, and cardiologists may be warranted to guide optimal management. Clinical challenges in managing adults and especially older adults with dengue are summarized in Fig. 7.
Fig 7.
Challenges in managing older adults with dengue. Older adults present with different symptoms and even attenuated symptoms compared to children with dengue. Older adults are also more likely to have co-morbidities and be taking medication that places them at greater risk of severe dengue and complicate case management.
Although co-morbidities complicate dengue, the corollary is also true. Dengue complicates pre-existing chronic diseases. Several studies have found increased risk of cardiovascular events, including heart failure and stroke, in adults after recovering from dengue (246, 247). Dengue could also worsen the risk of autoimmune disease (248), dementia (249–251), and other psychiatric disorders or lead to chronic sequelae (252, 253).
Dengue in pregnancy
Adults susceptible to DENV infection would include pregnant women. Maternal dengue patients may show attenuated symptoms and signs, making diagnosis challenging (254). A systematic review found that maternal dengue was associated with increased risk of preterm delivery (255), with a separate study showing that the odds of preterm delivery and low birth weight increased with severity of maternal dengue (256). Besides posing risks to the newborn, dengue during pregnancy may also adversely affect maternal health, with an increased likelihood of obstetric complications (257), frequent hospitalizations (258), and mortality from severe dengue (259).
The published literature on dengue during pregnancy, however, is littered with small-scale case-control studies and case reports, which may be confounded by biases; there have been few prospective studies (255). Moreover, the available evidence thus far has not consistently demonstrated an increased risk of severe dengue in pregnant women, likely reflecting the multifactorial nature of severe dengue pathogenesis (260).
Dengue in immunosuppressed
With age, the prevalence of dengue among immunosuppressed individuals has also become more common. In people living with human immunodeficiency virus (HIV) infection (PLHIV), there was initial concern that the pre-existing and persistent pro-inflammatory state of PLHIV would worsen the risk of severe dengue (261). However, clinical studies (262) and a meta-analysis (263) have not found worse outcomes but instead reduced risk of severe dengue. Like PLHIV, an immunocompromised state from malnutrition also does not appear to increase the risk of severe dengue (263). However, it remains unclear if there is an increased risk of poor outcomes, which may be due to the breadth and multifaceted nature of immunodeficiency within malnutrition.
In contrast to PLHIV and those with malnutrition, the opposite has been observed in solid organ transplant (SOT) recipients (264). Dengue in SOT recipients can be prolonged, with prolonged viremia (265); DENV infection was detectable in the blood and urine of a SOT recipient even at 4 and 9 months, respectively, after symptom onset (266). Besides Aedes-transmitted infection, donor-derived DENV infections, from both cadaveric donors and living donors, have also been reported (254, 267–269). Such cases also show prolonged infection and have poor clinical outcomes (264). Clinicians managing such patients often face the challenge of balancing immunosuppressive therapy to preserve graft function while enabling sufficient immune response against DENV to facilitate infection resolution (266). Indeed, a review from Singapore of 31 renal transplant recipients with dengue found an increased risk of graft dysfunction, although in most cases, this was mild and transient (270).
Unlike SOT, the clinical outcome of dengue in hematopoietic stem cell transplant recipients remains to be clearly defined (271).
DENGUE THERAPEUTICS
Antiviral drug discovery and development
There is no antiviral treatment for dengue patients. Discovery efforts for a treatment for dengue can be broadly divided into two categories: inhibition of DENV infection and inhibition of host response to infection that contributes to pathogenesis. A detailed list of antiviral drug candidates that have either been tested in early phase clinical trials or in pre-clinical development stages or have been reviewed elsewhere (272). It is noteworthy that thus far, all but one compound that has been tested in clinical trials has failed to show efficacy in reducing viremia in dengue patients. Thus, rather than discussing compounds that have been tried and failed, this section will instead focus on the challenges faced by antiviral discovery and development for the treatment of dengue.
Inhibiting DENV infection can either be through discovering compounds that either directly bind viral proteins, also referred to as direct-acting antiviral (DAA) compound, or inhibit host factors required for DENV infection (273, 274). Either approach would require the inhibitor to act on all four DENVs with equal potency or on a host factor that is shared by all four DENVs. Furthermore, as severe dengue occurs only in a small fraction of all dengue patients, the first hurdle any drug candidate will have to overcome, besides safety, is efficacy in reducing viremia (275, 276). The assumption that a drug that can reduce viremia would concomitantly reduce dengue severity is reasonable, as high viremia at diagnosis has been shown to correlate with severe dengue (140). However, treatment would have to be started early, as only viremia levels in the first 48 h from illness onset correlated with severe dengue outcome (141). Nonetheless, an antiviral therapy that shortens viremia can be effective as those with shorter duration viremia have reduced risk of severe dengue, compared to those with long duration of viremia (141). The key is early dosing (Fig. 8).
Fig 8.
Kinetics of viremia and pro-inflammatory response shape therapeutic interventions. DENV viremia (green line) begins before and peaks around the time of illness onset. Viremia levels decline rapidly after illness onset. Theoretically, DAA has to be administered as early as possible during the viremic phase. Pro-inflammatory responses (orange line) to the DENV burden occur slightly later but peak before fever defervescence, where plasma leakage is maximal. Inhibitors of pro-inflammatory response must thus be given before severe dengue develops.
Direct-acting antiviral drug discovery
Any treatment to prevent severe dengue early, at a time when the illness is undifferentiated, will require a drug that is safe, easy to administer, and readily available in ambulatory clinics. Such a drug would preferably be orally delivered, although intravenous formulation may still be necessary for dengue patients with vomiting. Besides suitable compounds and formulations, considerations will also be needed for pre-clinical studies. Most pre-clinical evaluation of antiviral compounds in animal models initiated dosing at the time of infection or soon after infection. Such dosing approaches ignore the fact that in dengue patients, viremia would be near peak or even on a waning trajectory at the time of diagnosis. Premature dosing in animal models would thus over-estimate the efficacy of any compound in reducing viremia in dengue patients.
Clinical trials on dengue antiviral candidates have also endeavored to enroll dengue patients within the first 48 or 72 h from illness onset (153, 277). However, enrolling dengue patients within this small window of opportunity is challenging, given that early symptoms are mostly undifferentiated. Many have thus used point-of-care tests for DENV sNS1 as a screening tool to differentiate dengue patients from those with other febrile illnesses. Although the test kit is highly specific, it lacks sensitivity in diagnosing dengue in patients with secondary DENV infections; the sensitivity drops from over 99% in those with primary dengue to approximately 60% in those with secondary dengue (278). Paradoxically, those with secondary dengue are at greater risk of severe disease than those with primary dengue, and are hence more in need of treatment. Although nucleic acid amplification tests (NAATs), such as DENV reverse transcriptase polymerase chain reaction (RT-PCR), enable early diagnosis with high sensitivity and specificity, they are currently not widely available, especially in resource-limited settings (279).
Despite these challenges, attempt has been made to develop several DAA drugs to treat dengue patients. Attractive targets for DAA are obviously the active sites of key viral enzymes involved in replication, such as the protease and helicase in the NS2B/NS3 protein complex, and the methyltransferase and polymerase in NS5 protein (280). Among these, several polymerase inhibitors have undergone clinical development. NITD-008, an adenosine analog, showed promising antiviral activity in both in vitro and in vivo studies. However, its development was halted due to safety concerns identified during pre-clinical toxicology studies, including hematological and hepatic toxicity (281). Another polymerase inhibitor, balapiravir, was tested in a proof-of-concept clinical trial against dengue but showed no efficacy (282); subsequent in vitro investigations suggest that balapiravir, as a pro-drug, failed to be converted to the active molecule in DENV-infected primary monocytes (283). A phase 2 clinical trial of AT-725, also an NS5 inhibitor developed by Atea Pharmaceuticals, has been terminated due to challenges in enrolling sufficient numbers of dengue patients early in the course of illness (284).
Although targeting the active sites of viral enzymes is the most intuitive approach for antiviral drug discovery, the two small molecules that have shown the greatest promise to date are instead directed against the NS4B protein. NS4B has no enzymatic function but is an integral part of the replication complex (42). Two small molecules, JNJ-1802 (developed by Johnson and Johnson) and NITD688 (developed by Novartis), have advanced to phase 2/3 and phase 2 clinical trials, respectively. Both compounds demonstrated inhibition of DENV replication at low nanomolar concentrations (285–287). Unfortunately, in a recent development, Johnson and Johnson have terminated clinical development of JNJ-1802 due to strategic re-prioritization (288).
Besides small molecules, attempt is also being made to develop a monoclonal antibody (mAb) that neutralizes all four DENVs as a therapeutic against dengue (289). This humanized mAb, under clinical development by Serum Institute of India, has shown potentially useful efficacy in pre-clinical studies (290) and is currently being tested in clinical trials (291). However, it remains to be determined whether a therapeutic mAb that is delivered by intravenous infusion can be both affordable and accessible to dengue patients early in the febrile phase of illness and thus enable management in ambulatory settings (292).
Host-directed therapies
Systemic inflammatory response to infection is an important contributor to endothelial dysfunction and plasma leakage. Indeed, plasma concentration of pro-inflammatory cytokines have been found to track with the magnitude of viremia and persist in patients with severe dengue even after viremia resolves during the defervescence period, when shock mostly occurs (140, 141, 293). The window of opportunity for immunomodulatory treatment may thus be wider than that for DAA (Fig. 8).
Several cytokines have been associated with plasma leakage and severe dengue (294–297), among which are IL-1, IL-6, and TNF, which are potential targets as there are licensed drugs that specifically target these cytokines. Small molecules that act on pathways that lead to expression of these cytokines or effect the functions of these cytokines could also be explored as therapeutics for severe dengue.
Interleukin-1 (IL-1) has been implicated in dengue pathogenesis (298–300). A higher peak plasma IL-1 receptor antagonist (IL-1RA) concentration (surrogate marker for IL-1 activity) in the early phase of dengue was recently found to be associated with more severe clinical outcomes (140). The bio-engineered IL-1RA Anakinra is a licensed drug that blocks IL-1 signaling. It is used to treat auto-inflammatory conditions such as rheumatoid arthritis and has also shown efficacy in reducing the risk of severe COVID-19 (301–304). A placebo-controlled clinical trial is currently underway at the Hospital for Tropical Diseases (HTD) in Ho Chi Minh City, Vietnam, to evaluate the efficacy of Anakinra in preventing severe dengue (NCT05611710).
Besides, IL-1, the pro-inflammatory cytokine IL-6 was also positively associated with vascular leakage (296, 297, 305–307). IL-6 signaling can be inhibited through the use of an inhibitor of IL-6 receptor Tocilizumab (308), a licensed treatment of several autoimmune diseases (309) and cytokine release syndrome (CRS) (310). Tocilizumab has also shown benefit as treatment to reduce the risk of severe COVID-19 in patients with high plasma IL-6 levels at enrollment (311, 312).
Finally, another potential target is tumor necrosis factor (TNF). TNF is a pro-inflammatory cytokine that is also involved in increasing adhesion molecule release and endothelial permeability (313). Patients with severe dengue appear to have higher TNF levels (314). In a prospective study carried out in the Philippines, elevated soluble TNF receptor-1 appeared predictive of hospitalization among outpatients with DENV infection (315). Moreover, anti-TNF immunoglobulin treatment has reduced severity of dengue in mouse models (316–318). Drugs, such as infliximab, adalimumab, and golimumab (319), could thus modulate inflammation and prevent endothelial activation for improved outcomes in dengue patients.
To date, the only completed immunomodulatory treatment trial has been high-dose prednisolone (320). Corticosteroids dampen pro-inflammatory responses but could also attenuate antiviral responses (321). Furthermore, the phase 2 clinical trial on prednisolone was conducted in an unselected patient population, most of whom had a high likelihood of uncomplicated dengue (320, 322). Indeed, important lessons can be drawn from previous failed sepsis trials, and more recently from COVID-19 trials, that highlight the need to identify and target appropriate patient sub-populations to demonstrate clinical benefit while minimizing potential harm from immune modulation (323, 324). Triaging of patients based on risk of severe dengue at presentation or hospitalization will be needed for both clinical trials as well as successful use of immunomodulators (6) (Fig. 8). Although enrolling mild dengue patients would dilute the number of events required for measurable outcome, recruiting patients in the critical phase of illness or those who have already manifested severe dengue could miss the limited time window for intervention (Fig. 8). Mediators that drive early pro-inflammatory states could also differ from those at the critical phase driving a dysregulated immune response (325–327).
In conclusion, there remains an urgent need for antiviral and anti-inflammatory treatments for dengue patients. At the same time, there is a need for better point-of-care diagnostic and prognostic tests to facilitate both clinical trials of therapeutic drugs and eventual triaging of dengue patients at risk of severe dengue for therapy.
DENGUE VACCINES AND IMMUNITY
State of play of dengue vaccines
Dengue vaccine development has made significant progress over the past two decades, with several candidates reaching advanced stages of clinical development and even licensure. However, the unique immunopathogenesis of dengue has posed significant challenges for the design of safe and broadly efficacious dengue vaccines (13). Indeed, none of the three tetravalent live-attenuated dengue vaccines licensed to date or that have completed Phase 3 clinical trials have demonstrated complete protection against symptomatic infection from all four DENVs, particularly in those without prior DENV infection, or seronegative individuals (328–335) (Fig. 9). While achieving such comprehensive protection remains an aspirational goal, there is nonetheless cause for optimism; at least two of these vaccines have demonstrated good overall efficacy and, crucially, have not shown an increased risk of severe dengue in seronegative vaccinees (334, 335). This now makes dengue a vaccine-preventable disease, with the potential to bring significant public health benefits, particularly in dengue-endemic settings.
Fig 9.
Efficacy of tetravalent dengue vaccine candidates. Vaccines that have completed phase 3 clinical trials with long-term follow-up (CYD-TDV, TAK003, TV003) or have been tested in a human challenge study (TV005, LAV, PIV/LAV). Efficacy is categorized by dengue serostatus of vaccinees, cross (+) symbol indicates sero-positivity and dash (-) symbol indicates sero-negativity. Efficacy against each of the 4 DENVs is categorized using colored circles (green: positive efficacy; yellow: no efficacy; red: possible enhancement; white: unknown efficacy) based on the longest study follow-up period for which data is publicly available. For CYD-TDV, efficacy shown is for participants aged 9-16 years. *Possible enhancement in children aged 2-8 years. Sources of information: CYD-TDV (330); TAK-003 (334); TV003 (335); TV005 (336); Live-attenuated vaccine (LAV) (337); and purified inactivated vaccine (PIV) followed by LAV (338).
The first dengue vaccine to be licensed was CYD-TDV. Developed by Sanofi-Pasteur, CYD-TDV is a recombinant, live-attenuated vaccine based on an attenuated yellow fever 17D (YF17D) vaccine virus backbone expressing the prM and E proteins of the four DENVs (339). Although CYD-TDV demonstrated good efficacy in preventing virologically confirmed dengue (VCD), that is, symptomatic RT-PCR positive dengue, it showed limited to no efficacy against DENV-2 in seronegative children (328, 329). Although initially licensed for use regardless of dengue serostatus, subsequent post-hoc analyses from the Phase 3 clinical trial revealed an increased risk of dengue-related hospitalization after the second year of follow-up among seronegative vaccinees without prior dengue exposure (330). This led to revised recommendations restricting its use only to individuals with confirmed past dengue exposure. Although to date, there has been no real-world evidence conclusively demonstrating an increased risk of severe dengue in CYD-TDV vaccinees, the perception of harm, particularly in children, has contributed to vaccine hesitancy not only toward CYD-TDV but also toward newer dengue vaccine candidates (340, 341). Additionally, as a result of poor global uptake and constrained application, Sanofi has announced plans to discontinue manufacture of CYD-TDV by the third-quarter of 2026.
The second vaccine to achieve licensure was TAK003. TAK003, developed by Takeda Pharmaceuticals, is a live-attenuated vaccine based on an attenuated DENV-2 (PDK53) backbone engineered to express the prM and E proteins of all four DENVs (77). This two-dose vaccine has now been licensed in several countries. A phase 3 trial involving over 20,000 participants aged 4–16 years across eight countries reported an overall efficacy of 80.2% against VCD (331), and 90.4% efficacy against hospitalized dengue (332), although efficacy varied by the type of DENV and baseline serostatus. Efficacy was highest against DENV-2 followed by DENV-1 in seropositive individuals, but there was no efficacy against DENV-3 in seronegative individuals. Efficacy against DENV-4 in seronegative individuals remains unknown, as there were too few cases during the clinical trial. Reassuringly, however, long-term 4.5-year follow-up of study participants has demonstrated sustained efficacy against hospitalized dengue regardless of serostatus, with no evidence of an increased risk of severe dengue in seronegative vaccinees (334). As such, this vaccine has been licensed for use even in individuals without serological evidence of past dengue infection.
The third vaccine now awaiting licensure is Butantan-DV. This single-dose vaccine, developed by Instituto Butantan, is a live-attenuated tetravalent formulation derived from the U.S. National Institutes of Health (NIH) candidate TV003. TV003 is constructed by deleting 30 nucleotides in the 3′-UTR of DENV-4 and DENV-1 (rDEN4∆30 and rDEN1∆30), and 30 and 31 nucleotides from DENV-3 (rDEN4∆30/31) (342). The DENV-2 component was constructed by swapping the DENV-2 prM and E genes into the rDEN4∆30 backbone. The phase 3 clinical trial conducted in Brazil enrolled over 16,000 participants aged 2–59 years (333). Overall efficacy was 79.6% against VCD in the first 2 years of follow-up, with 89.2% and 73.6% efficacy in seropositive and seronegative individuals, respectively. When stratified by DENV type, vaccine efficacy against DENV-1 was 96.8% in seropositive individuals and 85.6% in seronegative individuals, whereas efficacy against DENV-2 were 83.7% and 57.9%, respectively. Efficacy against hospitalized dengue was not reported. In addition, there were no cases of DENV-3 and DENV-4 in participants during the clinical trial to determine efficacy against either of these two DENVs. Extended follow-up of trial participants for up to 2–5 years (median: 3.7 years) has demonstrated reasonably sustained efficacy against both DENV-1 and DENV-2, even in seronegative individuals (335).
Although Instituto Butantan is the most advanced in the clinical development of TV003, this vaccine formulation has also been licensed by the NIH to other entities for further development. Notably, Merck & Co.’s (MSD outside the USA) investigational candidate V181, which includes two formulations, TV003 and TV005 (the latter containing a higher dose of the DENV-2 component), has demonstrated promising immunogenicity and safety profiles in phase 1 studies (343), supporting its continued clinical development. The efficacy of TV005 has also been tested using a human challenge model and has demonstrated complete protection against partially attenuated strains of both DENV-2 and DENV-3 (336).
Correlates of protection against dengue
As defined by Plotkin, a correlate of protection (CoP) is “an immune function that correlates with and may be responsible for vaccine-induced efficacy,” encompassing both immune responses that are directly biologically responsible for protection and those that may merely be a statistical association, sometimes also referred to as a “surrogate of protection” (344, 345). A CoP is useful as an immunological endpoint to select vaccine candidates for further clinical development. Identifying reliable CoPs against DENV infection, however, remains a major challenge. Despite decades of research, no single correlate (or surrogate) has been universally validated for dengue, reflecting the complexity of dengue immunopathogenesis and immunity.
Neutralizing antibodies
Neutralizing antibodies (nAbs) have long been considered the principal immune CoP against orthoflaviviruses, including DENVs. Early studies in non-human primates by Halstead et al. demonstrated that the presence of nAbs correlated with protection against viremia following experimental DENV challenge (346, 347). Similarly, longitudinal cohort studies in both children and adults have shown that higher nAb titers are associated with a reduced risk of symptomatic DENV infection and severe disease (348–350). However, this association is not absolute and may be modulated by factors such as an individual’s history of prior DENV infections and the infecting DENV type. A recent study demonstrated this complexity (351) - Analysis of longitudinal serological samples from a Nicaraguan pediatric cohort showed that high pre-infection nAb titers conferred protection only in individuals with a single prior DENV infection, but not in those with two or more previous infections (351). Moreover, protection appeared to be DENV type-specific, with high pre-infection nAb titers associated with reduced risk of symptomatic infection from DENV-1 and DENV-2, but not DENV-3 (351).
To date, no single nAb threshold has been established as a CoP for dengue vaccination. Defining such a threshold is challenging, as even individuals with very high nAb titers may still develop disease (352). Protection against dengue is further complicated by the uncertainty on the range of antibody titers where the risk of ADE is increased (101, 129, 353). In addition, protective nAb thresholds likely differ by DENV type. Observational studies and post-hoc analysis of serological data from CYD-TDV phase 3 trials suggest that DENV-2 requires higher nAb titers for protection compared with DENV-1 and DENV-3 (349, 352). This may reflect DENV-2′s higher intrinsic risk for ADE and severe clinical outcomes. Indeed, multiple observational studies have shown that secondary DENV-2 infection is more frequently associated with symptomatic disease and severe outcomes such as dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS) (354–356). Consistently, in a cohort of over 5,000 DENV-infected patients, it was demonstrated that within viremia ranges expected during the early febrile phase, the risk of plasma leakage and severe disease was greatest for secondary DENV-2 infections compared with other DENVs (13, 140).
Beyond nAb quantity, nAb quality may also be an important factor influencing protection against dengue, specifically in the context of vaccination. It has been suggested that the induction of type-specific nAbs may be critical for achieving durable, type-specific immunity from vaccination. The rationale for this line of thinking stems from two observations: discovery of potent type-specific nAbs in those who have recovered from a primary DENV infection and that those who have experienced one DENV infection would mostly be protected against homologous re-infection (104, 204, 357). However, the role of type-specific versus cross-reactive antibodies remains complex; cross-reactive monoclonal antibodies that bind all four DENVs have shown potent infection neutralization activities (358, 359). Assessment of nAb functional quality, however, is challenging. Conventional plaque reduction neutralization titer (PRNT) assays may be limited in distinguishing between high- and low-quality nAbs (344, 360), although recent advances, including assays that use mature DENV particles and cellular substrates such as Vero cells engineered to express DC-SIGN, may provide improved resolution of functional nAb responses (351, 361).
The hypothesis that vaccines must induce type-specific nAbs against all four DENVs to achieve balanced type-specific efficacy remains somewhat debatable. Indeed, evidence from phase III clinical trials of CYD-TDV, TAK-003, and TV003 (Butantan-DV) remains mixed. For CYD-TDV and TAK-003, the generation of type-specific antibodies corresponded with higher type-specific vaccine efficacy (362–365); CYD-TDV primarily elicited type-specific responses against DENV-4 (362), whereas TAK-003 predominantly induced responses against DENV-2 (364, 365), mirroring the higher efficacy observed against DENV-4 and DENV-2, respectively. However, findings from the TV003 trial somewhat challenge this association. TV003 achieved relatively balanced type-specific nAb responses across all four DENVs, thought to be due to the ability of all four of its vaccine strains to cause viremic infection (366–369). Nevertheless, a notable disparity in efficacy was observed among seronegative vaccinees, with protection against DENV-1 reaching 85.5% compared with only 57.9% against DENV-2 (333). This gap widened over longer-term follow-up, with vaccine efficacy against DENV-1 and DENV-2 in seronegative individuals declining to 73.2% and 43.6%, respectively (335). These observations suggest that although type-specific nAbs may contribute to protection, the minimum titer for protection against symptomatic infection may differ across the four DENVs.
Fc-mediated functions
The role of Fc-mediated effector functions in dengue disease enhancement has been discussed in detail in earlier sections of this review. Limited emerging evidence now also suggests a protective role for Fc-mediated mechanisms, specifically complement-mediated immunity. In a recent study, higher titers of pre-infection total IgG and IgG4 antibodies against DENV E and NS1 were found in asymptomatic compared with symptomatic children infected with DENV-3 (370). This protection appeared to be mediated by antibody-dependent complement deposition, resulting in lysis of both free virions and DENV-infected cells. This finding is consistent with prior in vitro and animal studies demonstrating complement-associated protection in orthoflaviviral infections, including protection against ADE (371–373). Interestingly, in the same cohort, complement-mediated lysis of Zika virus (ZIKV) virions, using plasma from DENV-immune but ZIKV-naïve children, correlated with protection from subsequent severe dengue outcomes including DHF and DSS (374). Although suggested as a possible CoP for dengue, the mechanistic relevance of this observation to DENV-specific viral control remains to be validated.
In addition to complement-mediated mechanisms, other antibody-dependent pathways may also contribute to protection. DENV-reactive IgA has been shown to antagonize IgG-mediated ADE, offering a potential mechanism for modulating disease severity (121, 122). Furthermore, Fc-mediated cellular responses may also play a role. NK cells, which mediate antibody-dependent cellular cytotoxicity (ADCC), have been implicated in protection during acute infection (138, 168). In a Vietnamese cohort of hospitalized dengue patients, those with no or only mild plasma leakage exhibited higher frequencies of activated NK cells expressing perforin and granzyme compared to individuals with more severe disease and evidence of systemic hyperinflammation, although functional assays to directly assess NK cell cytotoxicity could not be performed due to limited blood volumes (168). Conversely, dysfunctional NK cells with increased co-inhibitory receptor expression and decreased cytotoxic potential have been found in patients with severe dengue compared with those with non-severe dengue (375).
Overall, there is a growing body of evidence to suggest that protective Fc-effector functions during DENV infection may extend to include both complement activation and cytolytic cellular responses, although further studies are warranted in this area.
Cellular immunity
Emerging evidence, particularly from SARS-CoV-2 research, has highlighted the critical role of T cells in mediating protection against acute viral diseases and supports their inclusion as a CoP in viral disease and vaccination. Indeed, T cells, rather than nAbs, represent the key CoP against breakthrough SARS-CoV-2 infection, providing a foundational layer of immunity until hybrid immunity is established (376). Moreover, early memory T cell expansion correlates with rapid viral clearance and reduced disease severity (377–379).
In orthoflaviviral infection, the importance of T cell immunity is increasingly recognized. Indeed, the excellent and durable efficacy of the YF17D vaccine has been at least partially attributed to its ability to elicit broad and polyfunctional antigen-specific T cell responses (380–383). Critically, experimental evidence from both animal models (384–389) and now more recently in human experimental infection (390) has demonstrated the ability of T cells to mediate viral control independent of nAbs. Specifically, T cells directed against the C protein were associated with a level of viral control that was to the extent of sterilizing immunity (390).
The role of T cells in dengue has been somewhat contentious. Earlier hypotheses posited that antigen-specific T cells induced during a primary DENV infection could drive the expansion of low-affinity, cross-reactive memory T cells during secondary heterologous infection. This was believed to result in increased immunopathology due to inability to clear virus, and secretion of pro-inflammatory cytokines—a phenomenon referred to as “original antigenic sin” (164, 165). However, accumulating evidence now supports a protective role for T cells in dengue. In murine models, cross-reactive T cell responses elicited by primary DENV infection have been shown to contribute to viral control and protection upon secondary heterologous challenge (391, 392). Notably, adoptive transfer of DENV-primed CD8+ T cells reduced viral loads following challenge, even in the absence of nAbs (393). In humans, robust and polyfunctional T cell responses have been associated with reduced risk of severe dengue (394–399). For example, compared with symptomatic DENV patients, asymptomatic but viremic individuals exhibit higher frequencies of activated T cells during acute infection (398), whereas in a separate cohort, unbiased immune profiling revealed that patients with mild dengue had higher frequencies of activated, terminally differentiated T cells compared with hospitalized patients (166). Indeed, the observation that post-secondary DENV infections are often mild or even subclinical may, at least partially, be due to T cells. In a longitudinal pediatric cohort in Nicaragua, children with only one prior DENV infection displayed heterogenous DENV-specific T cell responses, whereas those with two or more prior infections demonstrated higher frequencies of DENV-specific T cells, which were associated with subclinical or inapparent outcomes upon subsequent infection (399). These findings suggest that T cell responses contribute to protective immunity and may modulate disease severity in dengue.
Beyond absolute T cell counts, the phenotype and functionality of memory T cells activated during acute DENV infection also appear to influence disease outcomes. Activation of CD8+ T cells with an effector memory (TEM) phenotype has been associated with reduced dengue severity (400, 401). In some individuals, DENV-specific CD4+ T effector memory cells re-expressing CD45RA (TEMRA) can acquire cytolytic functions during acute infection (397). These DENV-specific TEMRA cells produce high levels of IFN-γ and granzyme and have been associated with protection against severe disease in secondary DENV infection (402–404). CD4+ T cells also play a complex role in modulating humoral responses during DENV infection. Acute infection is characterized by a massive expansion of plasmablasts, which has been associated with severe outcomes (166, 398, 405). Although this expansion is typically attributed to a T follicular helper (Tfh) cell-driven response (406, 407), recent work has identified a distinct population of extrafollicular PD-1+ IL-21–secreting CD4+ T cells in patients with severe dengue (408). Ex vivo, these cells can drive B cell differentiation into plasmablasts, highlighting non-canonical pathways of B cell help that may contribute to immunopathology. Taken together, these findings support a multi-faceted role for CD4+ T cells in shaping the clinical outcome of DENV infection.
In parallel, the contribution of regulatory T cells (Treg) to dengue pathogenesis is increasingly recognized but remains incompletely understood. Although one study reported that higher frequencies of Tregs and an elevated Treg to effector T cell ratio were associated with milder disease (409), others have not observed a consistent correlation with viremia or clinical severity (410). More recent data from a pediatric cohort in Cambodia observed phenotypic and functional alterations of Tregs during acute DENV infection compared with non-infected controls (411). Notably, Tregs from patients with severe disease exhibited a Th1-like profile and showed diminished suppressive capacity but secreted higher levels of IL-10 upon in vitro stimulation. These findings suggest that dysregulated or functionally impaired Treg responses may exacerbate immunopathology, further underpinning the importance of T cell quality across effector, helper, and regulatory subsets in determining dengue disease outcomes.
In the context of dengue vaccination, DENV-specific T cells likely play an important role in preventing severe disease when nAb titers are insufficient to prevent breakthrough infection. In a recent DENV-1 human challenge study in individuals who had received heterologous prime-boost dengue vaccination with a tetravalent purified inactivated vaccine (PIV) followed by live-attenuated vaccine (LAV), the only vaccinee who remained aviremic post-DENV-1 challenge had the second highest total DENV-specific T cell response at the point of challenge infection among all the vaccinees (338, 412). Although the vaccinee with the highest T cell response developed breakthrough infection, they were the only individual to maintain normal full blood count and liver enzyme levels despite viremic infection. Notably, these two individuals had the third and second lowest pre-challenge DENV-1 nAb titers, respectively.
Indeed, the differences observed in the outcome of breakthrough infection in those who have been vaccinated with CYD-TDV, compared with those who received TAK-003 or TV003, may be due to T cells. Unlike nAb epitopes, which are found on the prM and E structural proteins, DENV-specific T cell epitopes, particularly those that are recognized by CD8+ T cells, are primarily found on the C and NS proteins (394). CYD-TDV was constructed using a YF17D backbone and hence does not contain C and NS proteins of DENV. As such, this vaccine elicits mostly YFV-specific, rather than DENV-specific T cells (413). In contrast, both TAK-003 and TV003 use a DENV genomic backbone and thus induce robust and sustained DENV-specific T cell responses that mirror those generated by natural secondary DENV infection (369, 414–419). DENV-specific CD4+ and CD8+ T cells generated by TV003 vaccination appear to initially be of a TEM phenotype followed by an increase in the frequency of TEMRA cells over time (418); such a phenotype has been associated with protective immunity against DENV (397). It is thus likely that robust vaccine-induced DENV-specific T cell responses could potentially mitigate the risk of severe disease in breakthrough infection in seronegative vaccinees. Indeed, TAK-003 has demonstrated close to 80% sustained efficacy against hospitalized dengue (a surrogate outcome for severe dengue) up to 4.5 years post-vaccination, even in seronegative vaccinees (334). Importantly, unlike CYD-TDV, long-term follow-up of both TAK-003 and Butantan-DV (TV003) phase III clinical trial participants has not demonstrated an increased risk of severe disease (334, 335).
Guidance on vaccine development from dengue immunity
A key lesson emerging from our current understanding of dengue immunity and from the outcomes of phase III clinical trials of CYD-TDV, TAK-003, and Butantan-DV is the need for dengue vaccines to elicit a broad and multi-layered adaptive immune response. Protection against dengue, particularly severe disease, appears to require more than high levels of nAbs. Instead, effective and durable immunity likely depends on a coordinated interplay between humoral and cellular immune components (Fig. 10). As such, the development and evaluation of dengue vaccines must take into account both arms of the adaptive immune response.
Fig 10.
DENV correlates of protection. Although a definitive immune correlate protection against DENV infection has not been established, several components of the adaptive immune response likely contribute to protection in a coordinated manner. Sterilizing immunity is mediated by both type-specific and broadly cross-reactive neutralizing antibodies that prevent viral entry into host cells. T cells directed specifically against the C protein may also play a role in sterilizing immunity, although their contribution remains to be fully elucidated. In contrast, viral control in the absence of sterilizing immunity is mediated by cytolytic DENV-specific CD4 +and CD8+ T cells. Additionally, Fc-mediated antibody effector functions, including antibody-dependent complement deposition (ADCD) and antibody-dependent cellular cytotoxicity (ADCC) by cytotoxic natural killer (NK) cells, may also contribute to viral control.
Given the immunological complexities of dengue, it is unlikely that any vaccine can achieve complete protection against symptomatic infection from all four DENVs, particularly in seronegative individuals, in the near future. A more attainable goal may be to develop vaccines that can reliably protect against severe disease, even in the context of breakthrough infections. To accomplish this, vaccine-induced immunity will need to extend beyond antibody responses and include robust DENV-specific T cell responses. In this context, a key question that remains to be answered is the extent to which cross-reactive T cells, particularly those induced by vaccines that do not encode the full proteome of all four DENVs (such as TAK-003 and Butantan-DV/TV003), can contribute to controlling viral replication and preventing severe disease in cases of breakthrough infection. Addressing such a question may indeed require controlled human challenge studies to elucidate the role of vaccine-induced T cells and define CoP more precisely. In parallel with ongoing efforts to develop improved vaccine constructs, alternative strategies such as heterologous prime-boost regimens using currently licensed vaccines could be explored to broaden the immune response and enhance protective efficacy.
In conclusion, advancing dengue vaccine development will require a paradigm shift from a sole focus on nAbs toward a more holistic assessment of immune protection. This includes placing greater emphasis on T cell immunity and identifying composite immune correlates that predict protection against severe disease. Such an approach will be essential to guide rational vaccine design and deployment in dengue-endemic settings.
DENGUE HUMAN CHALLENGE STUDIES: AN ALTERNATIVE APPROACH TO ADDRESS KNOWLEDGE GAPS AND AID COUNTERMEASURE DEVELOPMENT
Given the challenges that remain in understanding dengue immunopathogenesis, and in advancing dengue therapeutic discovery and vaccine development, alternative approaches are needed to fill knowledge gaps and address questions on rare events or infection outcomes that are difficult to address in conventional trials or field studies. One such approach is dengue human challenge studies. Such studies have been used as far back as 1902 (420), although today, dengue human infection models (DHIMs) or controlled human infection models (CHIMs) are rigorously designed clinical research studies conducted under strict ethical and safety oversight. In these studies, healthy consenting adult volunteers are deliberately exposed to a well-characterized, attenuated or partially attenuated dengue virus strain under controlled conditions. DHIMs and CHIMs can overcome key limitations inherent in natural infection studies and field trials by enabling: (i) precise control over the timing of infection, facilitating collection of pre-infection and early acute-phase samples; (ii) use of standardized viral strains and inoculation doses to reduce variability; (iii) intensive longitudinal sampling to characterize viral kinetics, early host immune responses, and correlates of protection or risk; and (iv) smaller cohort sizes that allow for early stage evaluation and down-selection of vaccine and therapeutic candidates before proceeding to large-scale efficacy trials.
Two challenge models have been broadly established and are currently in use, both to study dengue immunopathogenesis, as well as to support dengue vaccine and therapeutic development (Table 2). These models differ in their choice of DENV strain, degree of viral attenuation and clinical phenotype, and serve distinct purposes as either disease or infection models.
TABLE 2.
Key features of the two dengue human challenge models currently in use
| Disease model (WRAIR/SUNY Upstate) |
Infection model (Johns Hopkins/NIAID) |
|
|---|---|---|
| DENV strains | DENV-1 (45AZ5) DENV-3 (CH53489) |
rDEN2Δ30 rDEN3Δ30 |
| Attenuation | Under-attenuated | Under-attenuated |
| Goal of model | To model symptomatic dengue fever | To model DENV infection (viremia ± mild clinical symptoms) |
| Volunteer profile | Flavivirus-seronegative healthy adults | Flavivirus-seronegative healthy adults |
| Challenge dose | DENV-1 (45AZ5): 3.25 × 103 PFU DENV-3 (CH53489): 0.7 × 103 PFU |
rDEN2Δ30: 1.0 × 103 PFU rDEN3Δ30: 1.0 × 104 PFU |
| Peak viremia | DENV-1 (45AZ5): ~4.0 log10 PFU/mL DENV-3 (CH53489): ~3-7 log10 PFU/mL |
rDEN2Δ30: ~2.5 log10 PFU/mL rDEN3Δ30: ~1.0 log10 PFU/mL |
| Clinical outcomes | Symptomatic dengue fever-like illness in a subset
|
Mild illness in most
|
| Level of risk | Moderate | Low |
| Applications | Study of dengue pathogenesis Evaluation of vaccines and therapeutics |
Characterization of host response to DENV infection Evaluation of vaccines and therapeutics |
| Limitations | Secondary heterologous DENV challenge may be associated with increased risk of severe disease | Only suitable for evaluating antiviral efficacy in reducing viremia May overestimate vaccine/therapeutic efficacy in real-world settings |
The first model was pioneered by the Walter Reed Army Institute of Research (337) and now further developed by investigators at SUNY Upstate Medical University. This model utilizes under-attenuated DENV-1 (strain 45AZ5) and DENV-3 (strain CH53489) viruses that were initially designed as monovalent vaccine candidates but were later deemed too reactogenic for continued vaccine development (421, 422). Both strains have been shown to be safe, reliably infectious, and clinically informative in flavivirus seronegative adult volunteers. Challenge with either strain results in detectable viremia, fever, rash, and other clinical and laboratory features consistent with mild-to-moderate dengue-like illness, without progression to severe disease (337, 423–426). This model serves as a controlled disease model and has been employed both to study dengue pathogenesis and in early-phase vaccine trials to assess protective efficacy (337, 423, 426). Notably, this model was recently used to evaluate a tetravalent prime-boost vaccine regimen (PIV/LAV), which, rather than demonstrating protection, appeared to enhance infection, highlighting the value of DHIMs for down-selecting suboptimal candidates early in development (338). However, due to its capacity to induce symptomatic disease, the use of this model in dengue-seropositive individuals remains uncertain, given concerns about immune enhancement and the potential risk of severe disease.
In contrast, the second model, developed by Johns Hopkins University in collaboration with the National Institute of Allergy and Infectious Diseases (NIAID), uses live-attenuated recombinant DENV-2 and DENV-3 viruses (rDEN2Δ30 and rDEN3Δ30, respectively) (427, 428). Originally developed as monovalent vaccine strains, these viruses have been repurposed for use in controlled infection studies due to their well-characterized attenuation profiles and favorable safety; 100% and 85% of individuals develop detectable low-level viremia when challenged with either rDEN2Δ30 or rDEN3Δ30, respectively, and almost all participants develop a characteristic rash (336, 429). Laboratory abnormalities, such as neutropenia and thrombocytopenia, are less frequent, and fever is extremely rare (336, 429). This model functions primarily as a controlled infection model and has been used to characterize the host response to DENV infection, in addition to being instrumental in the clinical development of the tetravalent live-attenuated vaccine TV003 (430–433). A limitation of this infection model is that it is likely only suitable for evaluating therapeutic efficacy when reduction in viremia is a meaningful endpoint. Moreover, the use of this model may overestimate the real-world efficacy of a vaccine or therapeutic intervention in preventing or mitigating disease. However, compared with a disease model, it offers potential advantages in terms of safety and ethical acceptability, particularly for use in dengue-seropositive individuals, including in studies involving heterologous DENV challenge.
Importantly, outcomes using both challenge models have to date only been reported in flavivirus seronegative individuals residing in dengue non-endemic settings. It remains to be determined whether the clinical and immunological outcomes observed in these studies will generalize to dengue-endemic settings, even among individuals without prior dengue exposure. Factors such as differing background immunity, host genetic differences, and environmental influences may modulate host responses and disease expression in ways not fully captured in non-endemic populations. Furthermore, in both challenge models, the virus is administered via subcutaneous injection, which does not replicate natural transmission by mosquito bite. Given that mosquito saliva has been shown to influence the kinetics and magnitude of DENV viremia (434), it remains uncertain whether the mode of virus delivery, for example, needle versus mosquito bite, may affect outcomes.
Overall, despite their limitations, human challenge models provide a valuable platform for addressing knowledge gaps in dengue immunology, the relative contribution of the different immune components in protecting against dengue, and evaluating new countermeasures.
CONCLUSION
The growing global public health burden of dengue calls for continued urgency into addressing gaps in both knowledge and countermeasure development against all four DENVs (Table 3). It is hoped that this review serves as a resource to help bridge these knowledge gaps, generate evidence-based management of dengue in older adults, spur the development of effective antivirals, and guide the safe deployment of dengue vaccines.
TABLE 3.
Key questions and knowledge gaps in dengue
| Topic | Questions |
|---|---|
| Virus-host interactions and pathogenesis | What virus-host interactions are critical for DENV pathogenesis? |
| How do viral genetic variations mechanistically influence DENV fitness? | |
| How will climate change shape DENV evolution and transmission dynamics? | |
| What are the immunoprotective and immunopathological responses that, respectively, mediate protection against or progression to severe dengue? | |
| What is the impact of immunosenescence on the risk of severe disease in older adults? | |
| Clinical management and therapeutics | How should older adults with dengue be clinically monitored and managed? |
| What is the optimal fluid replacement strategy for adults with dengue? | |
| What are appropriate and meaningful endpoints for dengue therapeutic clinical trials? | |
| Dengue vaccine development and application | Can a correlate of protection against dengue be defined? |
| Does lack of vaccine efficacy necessarily translate to an increased risk of severe disease? | |
| How should dengue vaccination strategies adapt to changing population demographics and the increasing burden of disease in adults? |
ACKNOWLEDGMENTS
We thank Dr. James Kang from the Department of Infectious Diseases, Singapore General Hospital, for his support.
Shirin Kalimuddin and Eng Eong Ooi hold career awards (MOH-000617-00 and MOH-001271-00, respectively) from the National Medical Research Council of Singapore.
Biographies

Shirin Kalimuddin is a physician-scientist with the Department of Infectious Diseases at the Singapore General Hospital, and a faculty member in the Program in Emerging Infectious Diseases at Duke-NUS Medical School. She received her medical degree from King’s College London in 2005, and completed her clinical training in adult infectious diseases in Singapore. In 2017, she was awarded a Master in Public Health from the Bloomberg School of Public Health, Johns Hopkins University. Most recently, she completed a PhD in antiviral immunity at Duke-NUS Medical School. Her research focuses on elucidating the host immune response to viral infections, with the goal of informing the development of more effective vaccines and strategies to prevent infectious diseases. Her recent work has centred on the role of T cell immunity in orthoflaviviral infection and vaccination. In 2025, she received the National Medical Research Council of Singapore Clinician Scientist Award.

Po Ying Chia trained in medicine at the National University of Singapore and obtained her PhD from the Nanyang Technological University. She is a member of the Royal College of Physicians of the United Kingdom and is currently an Infectious Disease consultant at the National Centre for Infectious Diseases (NCID) and Tan Tock Seng Hospital (TTSH), and Assistant Professor with Lee Kong Chian School of Medicine, Nanyang Technological University. She heads the Research Office, and leads the research arboviral infections, both at NCID. She is concurrently the dengue champion in TTSH, and deputy lead of the Programme for Research in Epidemic Preparedness and REsponse (PREPARE) Co-operative 5 Regional Networks. Her research interest includes dengue fever and other arboviral infections, emerging and re-emerging infectious diseases, as well as antimicrobial resistance.

Jenny G. Low is a senior consultant with the Department of Infectious Diseases in Singapore General Hospital and Professor in the Emerging Infectious Diseases Program at Duke-NUS Medical School. She has a long track record in conducting proof-of-concept early phase clinical trials in acute viral diseases. She has been refining clinical trial endpoints using objective molecular markers rather than subjective clinical observations. She has tested several first-in-human therapeutics, biologics and vaccines against orthoflaviviral and other emerging viral infections. Her research focuses on advancing application of human monoclonal antibodies as treatment for acute viral infections and RNA therapeutics as tools for rapid response to pandemics. She also applies innovative design of early phase clinical trials that integrates molecular endpoints to guide late stage clinical development.

Eng Eong Ooi is a medical virologist and Professor in the Program in Emerging Infectious Diseases at Duke-NUS Medical School, in Singapore. He trained in medicine at the University of Nottingham and completed his PhD studies on molecular epidemiology at the National University of Singapore. He has been conducting research on dengue and related orthoflaviviruses to understand disease pathogenesis and immunity for more than 25 years. He is a three-time recipient of the Clinician-Scientist (Senior Investigator) Award and a recipient of the Singapore Translational Research Award, all from the National Medical Research Council of Singapore.
Footnotes
Clinical Microbiology Reviews acknowledges the input of its peer reviewers, who may individually opt for their names to be included in the details for this article or otherwise remain anonymous.
Contributor Information
Eng Eong Ooi, Email: engeong.ooi@duke-nus.edu.sg.
Lara J. Herrero, Griffith University, Gold Coast, Australia
Rita Alexandra Rojas-Fermín, Hospital General Plaza de la Salud, Santo Domingo, Dominican Republic.
REFERENCES
- 1. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, Drake JM, Brownstein JS, Hoen AG, Sankoh O, Myers MF, George DB, Jaenisch T, Wint GRW, Simmons CP, Scott TW, Farrar JJ, Hay SI. 2013. The global distribution and burden of dengue. Nature 496:504–507. doi: 10.1038/nature12060 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Haider N, Hasan MN, Onyango J, Billah M, Khan S, Papakonstantinou D, Paudyal P, Asaduzzaman M. 2025. Global dengue epidemic worsens with record 14 million cases and 9000 deaths reported in 2024. Int J Infect Dis 158:107940. doi: 10.1016/j.ijid.2025.107940 [DOI] [PubMed] [Google Scholar]
- 3. Messina JP, Brady OJ, Scott TW, Zou C, Pigott DM, Duda KA, Bhatt S, Katzelnick L, Howes RE, Battle KE, Simmons CP, Hay SI. 2014. Global spread of dengue virus types: mapping the 70 year history. Trends Microbiol 22:138–146. doi: 10.1016/j.tim.2013.12.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Egger J. 2008. Reconstructing historical changes in the force of infection of dengue fever in Singapore: implications for surveillance and control. Bull World Health Organ 86:187–196. doi: 10.2471/BLT.07.040170 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Katzelnick LC, Ben-Shachar R, Mercado JC, Rodriguez-Barraquer I, Elizondo D, Arguello S, Nuñez A, Ojeda S, Sanchez N, Lopez Mercado B, Gresh L, Burger-Calderon R, Kuan G, Gordon A, Balmaseda A, Harris E. 2018. Dynamics and determinants of the force of infection of dengue virus from 1994 to 2015 in Managua, Nicaragua. Proc Natl Acad Sci USA 115:10762–10767. doi: 10.1073/pnas.1809253115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Malavige GN, Sjö P, Singh K, Piedagnel JM, Mowbray C, Estani S, Lim SCL, Siquierra AM, Ogg GS, Fraisse L, Ribeiro I. 2023. Facing the escalating burden of dengue: challenges and perspectives. PLoS Glob Public Health 3:e0002598. doi: 10.1371/journal.pgph.0002598 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Mallapaty S. 2024. The pathogens that could spark the next pandemic. Nature 632:488–488. doi: 10.1038/d41586-024-02513-3 [DOI] [PubMed] [Google Scholar]
- 8. Ho SH, Lim JT, Ong J, Hapuarachchi HC, Sim S, Ng LC. 2023. Singapore’s 5 decades of dengue prevention and control-Implications for global dengue control. PLoS Negl Trop Dis 17:e0011400. doi: 10.1371/journal.pntd.0011400 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Chan KL, Ho BC, Chan YC. 1971. Aedes aegypti (L.) and Aedes albopictus (Skuse) in Singapore City. 2. Larval habitats. Bull World Health Organ 44:629–633. [PMC free article] [PubMed] [Google Scholar]
- 10. Chan KL, Ng SK, Chew LM. 1977. The 1973 dengue haemorrhagic fever outbreak in Singapore and its control. Singapore Med J 18:81–93. [PubMed] [Google Scholar]
- 11. Ooi EE, Gubler DJ. 2009. Dengue in Southeast Asia: epidemiological characteristics and strategic challenges in disease prevention. Cad Saude Publica 25 Suppl 1:S115–S124. doi: 10.1590/s0102-311x2009001300011 [DOI] [PubMed] [Google Scholar]
- 12. Ooi EE, Goh KT, Gubler DJ. 2006. Dengue prevention and 35 years of vector control in Singapore. Emerg Infect Dis 12:887–893. doi: 10.3201/10.3201/eid1206.051210 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Ooi EE, Kalimuddin S. 2023. Insights into dengue immunity from vaccine trials. Sci Transl Med 15:eadh3067. doi: 10.1126/scitranslmed.adh3067 [DOI] [PubMed] [Google Scholar]
- 14. Utarini A, Indriani C, Ahmad RA, Tantowijoyo W, Arguni E, Ansari MR, Supriyati E, Wardana DS, Meitika Y, Ernesia I, Nurhayati I, Prabowo E, Andari B, Green BR, Hodgson L, Cutcher Z, Rancès E, Ryan PA, O’Neill SL, Dufault SM, Tanamas SK, Jewell NP, Anders KL, Simmons CP, AWED Study Group . 2021. Efficacy of Wolbachia-infected mosquito deployments for the control of dengue. N Engl J Med 384:2177–2186. doi: 10.1056/NEJMoa2030243 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Suwantika AA, Kautsar AP, Supadmi W, Zakiyah N, Abdulah R, Ali M, Postma MJ. 2020. Cost-effectiveness of dengue vaccination in Indonesia: considering integrated programs with Wolbachia-infected mosquitos and health education. Int J Environ Res Public Health 17:4217. doi: 10.3390/ijerph17124217 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Ribeiro Dos Santos G, Durovni B, Saraceni V, Souza Riback TI, Pinto SB, Anders KL, Moreira LA, Salje H. 2022. Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study. Lancet Infect Dis 22:1587–1595. doi: 10.1016/S1473-3099(22)00436-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Lim JT, Bansal S, Chong CS, Dickens B, Ng Y, Deng L, Lee C, Tan LY, Chain G, Ma P, Sim S, Tan CH, Cook AR, Ng LC. 2024. Efficacy of Wolbachia-mediated sterility to reduce the incidence of dengue: a synthetic control study in Singapore. Lancet Microbe 5:e422–e432. doi: 10.1016/S2666-5247(23)00397-X [DOI] [PubMed] [Google Scholar]
- 18. Pacheco ID, Walling LL, Atkinson PW. 2022. Gene editing and genetic control of hemipteran pests: progress, challenges and perspectives. Front Bioeng Biotechnol 10:900785. doi: 10.3389/fbioe.2022.900785 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Wilder-Smith A, Lindsay SW, Scott TW, Ooi EE, Gubler DJ, Das P. 2020. The Lancet Commission on dengue and other Aedes-transmitted viral diseases. Lancet 395:1890–1891. doi: 10.1016/S0140-6736(20)31375-1 [DOI] [PubMed] [Google Scholar]
- 20. Gubler DJ, Trent DW. 1993. Emergence of epidemic dengue/dengue hemorrhagic fever as a public health problem in the Americas. Infect Agents Dis 2:383–393. [PubMed] [Google Scholar]
- 21. Mackenzie JS, Gubler DJ, Petersen LR. 2004. Emerging flaviviruses: the spread and resurgence of Japanese encephalitis, West Nile and dengue viruses. Nat Med 10:S98–109. doi: 10.1038/nm1144 [DOI] [PubMed] [Google Scholar]
- 22. Huang AT, Takahashi S, Salje H, Wang L, Garcia-Carreras B, Anderson K, Endy T, Thomas S, Rothman AL, Klungthong C, Jones AR, Fernandez S, Iamsirithaworn S, Doung-Ngern P, Rodriguez-Barraquer I, Cummings DAT. 2022. Assessing the role of multiple mechanisms increasing the age of dengue cases in Thailand. Proc Natl Acad Sci USA 119:e2115790119. doi: 10.1073/pnas.2115790119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Hill V, Cleemput S, Pereira JS, Gifford RJ, Fonseca V, Tegally H, Brito AF, Ribeiro G, de Souza VC, Brcko IC, et al. 2024. A new lineage nomenclature to aid genomic surveillance of dengue virus. PLoS Biol 22:e3002834. doi: 10.1371/journal.pbio.3002834 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Filomatori CV, Iglesias NG, Villordo SM, Alvarez DE, Gamarnik AV. 2011. RNA sequences and structures required for the recruitment and activity of the dengue virus polymerase. J Biol Chem 286:6929–6939. doi: 10.1074/jbc.M110.162289 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Alvarez DE, De Lella Ezcurra AL, Fucito S, Gamarnik AV. 2005. Role of RNA structures present at the 3’UTR of dengue virus on translation, RNA synthesis, and viral replication. Virology (Auckl) 339:200–212. doi: 10.1016/j.virol.2005.06.009 [DOI] [PubMed] [Google Scholar]
- 26. Lodeiro MF, Filomatori CV, Gamarnik AV. 2009. Structural and functional studies of the promoter element for dengue virus RNA replication. J Virol 83:993–1008. doi: 10.1128/JVI.01647-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Finol E, Ooi EE. 2019. Evolution of subgenomic RNA shapes dengue virus adaptation and epidemiological fitness. iScience 16:94–105. doi: 10.1016/j.isci.2019.05.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Alvarez DE, Filomatori CV, Gamarnik AV. 2008. Functional analysis of dengue virus cyclization sequences located at the 5’ and 3’UTRs. Virology (Auckl) 375:223–235. doi: 10.1016/j.virol.2008.01.014 [DOI] [PubMed] [Google Scholar]
- 29. Villordo SM, Gamarnik AV. 2009. Genome cyclization as strategy for flavivirus RNA replication. Virus Res 139:230–239. doi: 10.1016/j.virusres.2008.07.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Villordo SM, Alvarez DE, Gamarnik AV. 2010. A balance between circular and linear forms of the dengue virus genome is crucial for viral replication. RNA 16:2325–2335. doi: 10.1261/rna.2120410 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Ng WC, Soto-Acosta R, Bradrick SS, Garcia-Blanco MA, Ooi EE. 2017. The 5’ and 3’ untranslated regions of the flaviviral genome. Viruses 9:137. doi: 10.3390/v9060137 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Proutski V, Gould EA, Holmes EC. 1997. Secondary structure of the 3’ untranslated region of flaviviruses: similarities and differences. Nucleic Acids Res 25:1194–1202. doi: 10.1093/nar/25.6.1194 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Huber RG, Lim XN, Ng WC, Sim AYL, Poh HX, Shen Y, Lim SY, Sundstrom KB, Sun X, Aw JG, Too HK, Boey PH, Wilm A, Chawla T, Choy MM, Jiang L, de Sessions PF, Loh XJ, Alonso S, Hibberd M, Nagarajan N, Ooi EE, Bond PJ, Sessions OM, Wan Y. 2019. Structure mapping of dengue and Zika viruses reveals functional long-range interactions. Nat Commun 10:1408. doi: 10.1038/s41467-019-09391-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Mukhopadhyay S, Kuhn RJ, Rossmann MG. 2005. A structural perspective of the flavivirus life cycle. Nat Rev Microbiol 3:13–22. doi: 10.1038/nrmicro1067 [DOI] [PubMed] [Google Scholar]
- 35. Jones CT, Ma L, Burgner JW, Groesch TD, Post CB, Kuhn RJ. 2003. Flavivirus capsid is a dimeric alpha-helical protein. J Virol 77:7143–7149. doi: 10.1128/jvi.77.12.7143-7149.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Ma L, Jones CT, Groesch TD, Kuhn RJ, Post CB. 2004. Solution structure of dengue virus capsid protein reveals another fold. Proc Natl Acad Sci USA 101:3414–3419. doi: 10.1073/pnas.0305892101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Byk LA, Iglesias NG, De Maio FA, Gebhard LG, Rossi M, Gamarnik AV. 2016. Dengue virus genome uncoating requires ubiquitination. mBio 7:e00804-16. doi: 10.1128/mBio.00804-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Zhang Y, Corver J, Chipman PR, Zhang W, Pletnev SV, Sedlak D, Baker TS, Strauss JH, Kuhn RJ, Rossmann MG. 2003. Structures of immature flavivirus particles. EMBO J 22:2604–2613. doi: 10.1093/emboj/cdg270 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Modis Y, Ogata S, Clements D, Harrison SC. 2004. Structure of the dengue virus envelope protein after membrane fusion. Nature 427:313–319. doi: 10.1038/nature02165 [DOI] [PubMed] [Google Scholar]
- 40. Barrows NJ, Anglero-Rodriguez Y, Kim B, Jamison SF, Le Sommer C, McGee CE, Pearson JL, Dimopoulos G, Ascano M, Bradrick SS, Garcia-Blanco MA. 2019. Dual roles for the ER membrane protein complex in flavivirus infection: viral entry and protein biogenesis. Sci Rep 9:9711. doi: 10.1038/s41598-019-45910-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Garcia-Blanco MA, Vasudevan SG, Bradrick SS, Nicchitta C. 2016. Flavivirus RNA transactions from viral entry to genome replication. Antiviral Res 134:244–249. doi: 10.1016/j.antiviral.2016.09.010 [DOI] [PubMed] [Google Scholar]
- 42. Lescar J, Soh S, Lee LT, Vasudevan SG, Kang C, Lim SP. 2018. The dengue virus replication complex: from RNA replication to protein-protein interactions to evasion of innate immunity. Adv Exp Med Biol 1062:115–129. doi: 10.1007/978-981-10-8727-1_9 [DOI] [PubMed] [Google Scholar]
- 43. Aye KS, Charngkaew K, Win N, Wai KZ, Moe K, Punyadee N, Thiemmeca S, Suttitheptumrong A, Sukpanichnant S, Prida M, Halstead SB. 2014. Pathologic highlights of dengue hemorrhagic fever in 13 autopsy cases from Myanmar. Hum Pathol 45:1221–1233. doi: 10.1016/j.humpath.2014.01.022 [DOI] [PubMed] [Google Scholar]
- 44. Cruz-Oliveira C, Freire JM, Conceição TM, Higa LM, Castanho MARB, Da Poian AT. 2015. Receptors and routes of dengue virus entry into the host cells. FEMS Microbiol Rev 39:155–170. doi: 10.1093/femsre/fuu004 [DOI] [PubMed] [Google Scholar]
- 45. Halstead SB, O’Rourke EJ. 1977. Dengue viruses and mononuclear phagocytes. I. Infection enhancement by non-neutralizing antibody. J Exp Med 146:201–217. doi: 10.1084/jem.146.1.201 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Yu IM, Zhang W, Holdaway HA, Li L, Kostyuchenko VA, Chipman PR, Kuhn RJ, Rossmann MG, Chen J. 2008. Structure of the immature dengue virus at low pH primes proteolytic maturation. Science 319:1834–1837. doi: 10.1126/science.1153264 [DOI] [PubMed] [Google Scholar]
- 47. Kuhn RJ, Zhang W, Rossmann MG, Pletnev SV, Corver J, Lenches E, Jones CT, Mukhopadhyay S, Chipman PR, Strauss EG, Baker TS, Strauss JH. 2002. Structure of dengue virus: implications for flavivirus organization, maturation, and fusion. Cell 108:717–725. doi: 10.1016/s0092-8674(02)00660-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Rodenhuis-Zybert IA, Wilschut J, Smit JM. 2011. Partial maturation: an immune-evasion strategy of dengue virus? Trends Microbiol 19:248–254. doi: 10.1016/j.tim.2011.02.002 [DOI] [PubMed] [Google Scholar]
- 49. Akey DL, Brown WC, Dutta S, Konwerski J, Jose J, Jurkiw TJ, DelProposto J, Ogata CM, Skiniotis G, Kuhn RJ, Smith JL. 2014. Flavivirus NS1 structures reveal surfaces for associations with membranes and the immune system. Science 343:881–885. doi: 10.1126/science.1247749 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Chew BLA, Ngoh ANQ, Phoo WW, Chan KWK, Ser Z, Tulsian NK, Lim SS, Weng MJG, Watanabe S, Choy MM, Low J, Ooi EE, Ruedl C, Sobota RM, Vasudevan SG, Luo D. 2024. Secreted dengue virus NS1 from infection is predominantly dimeric and in complex with high-density lipoprotein. Elife 12:RP90762. doi: 10.7554/eLife.90762 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Shu B, Ooi JSG, Tan AWK, Ng TS, Dejnirattisai W, Mongkolsapaya J, Fibriansah G, Shi J, Kostyuchenko VA, Screaton GR, Lok SM. 2022. CryoEM structures of the multimeric secreted NS1, a major factor for dengue hemorrhagic fever. Nat Commun 13. doi: 10.1038/s41467-022-34415-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Hafirassou ML, Meertens L, Umaña-Diaz C, Labeau A, Dejarnac O, Bonnet-Madin L, Kümmerer BM, Delaugerre C, Roingeard P, Vidalain P-O, Amara A. 2018. A global interactome map of the dengue virus NS1 identifies virus restriction and dependency host factors. Cell Rep 22:1364. doi: 10.1016/j.celrep.2018.01.038 [DOI] [PubMed] [Google Scholar]
- 53. Shah PS, Link N, Jang GM, Sharp PP, Zhu T, Swaney DL, Johnson JR, Von Dollen J, Ramage HR, Satkamp L, et al. 2018. Comparative flavivirus-host protein interaction mapping reveals mechanisms of dengue and zika virus pathogenesis. Cell 175:1931–1945. doi: 10.1016/j.cell.2018.11.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Sessions OM, Barrows NJ, Souza-Neto JA, Robinson TJ, Hershey CL, Rodgers MA, Ramirez JL, Dimopoulos G, Yang PL, Pearson JL, Garcia-Blanco MA. 2009. Discovery of insect and human dengue virus host factors. Nature 458:1047–1050. doi: 10.1038/nature07967 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Savidis G, McDougall WM, Meraner P, Perreira JM, Portmann JM, Trincucci G, John SP, Aker AM, Renzette N, Robbins DR, Guo Z, Green S, Kowalik TF, Brass AL. 2016. Identification of zika virus and dengue virus dependency factors using functional genomics. Cell Rep 16:232–246. doi: 10.1016/j.celrep.2016.06.028 [DOI] [PubMed] [Google Scholar]
- 56. Ooi YS, Majzoub K, Flynn RA, Mata MA, Diep J, Li JK, van Buuren N, Rumachik N, Johnson AG, Puschnik AS, Marceau CD, Mlera L, Grabowski JM, Kirkegaard K, Bloom ME, Sarnow P, Bertozzi CR, Carette JE. 2019. An RNA-centric dissection of host complexes controlling flavivirus infection. Nat Microbiol 4:2369–2382. doi: 10.1038/s41564-019-0518-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Welsch S, Miller S, Romero-Brey I, Merz A, Bleck CKE, Walther P, Fuller SD, Antony C, Krijnse-Locker J, Bartenschlager R. 2009. Composition and three-dimensional architecture of the dengue virus replication and assembly sites. Cell Host Microbe 5:365–375. doi: 10.1016/j.chom.2009.03.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Neufeldt CJ, Cortese M, Scaturro P, Cerikan B, Wideman JG, Tabata K, Moraes T, Oleksiuk O, Pichlmair A, Bartenschlager R. 2019. ER-shaping atlastin proteins act as central hubs to promote flavivirus replication and virion assembly. Nat Microbiol 4:2416–2429. doi: 10.1038/s41564-019-0586-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Chatel-Chaix L, Cortese M, Romero-Brey I, Bender S, Neufeldt CJ, Fischl W, Scaturro P, Schieber N, Schwab Y, Fischer B, Ruggieri A, Bartenschlager R. 2016. Dengue virus perturbs mitochondrial morphodynamics to dampen innate immune responses. Cell Host Microbe 20:342–356. doi: 10.1016/j.chom.2016.07.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Chatel-Chaix L, Bartenschlager R. 2014. Dengue virus- and hepatitis C virus-induced replication and assembly compartments: the enemy inside--caught in the web. J Virol 88:5907–5911. doi: 10.1128/JVI.03404-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Paul D, Bartenschlager R. 2015. Flaviviridae replication organelles: oh, what a tangled web we weave. Annu Rev Virol 2:289–310. doi: 10.1146/annurev-virology-100114-055007 [DOI] [PubMed] [Google Scholar]
- 62. Marceau CD, Puschnik AS, Majzoub K, Ooi YS, Brewer SM, Fuchs G, Swaminathan K, Mata MA, Elias JE, Sarnow P, Carette JE. 2016. Genetic dissection of Flaviviridae host factors through genome-scale CRISPR screens. Nature 535:159–163. doi: 10.1038/nature18631 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Ng WC, Kwek SS, Sun B, Yousefi M, Ong EZ, Tan HC, Puschnik AS, Chan KR, Ooi YS, Ooi EE. 2022. A fast-growing dengue virus mutant reveals a dual role of STING in response to infection. Open Biol 12:220227. doi: 10.1098/rsob.220227 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Yousefi M, Lee WS, Yan B, Cui L, Yong CL, Yap X, Tay KSL, Qiao W, Tan D, Nurazmi NI, Linster M, Smith GJD, Lee YH, Carette JE, Ooi EE, Chan KR, Ooi YS. 2022. TMEM41B and VMP1 modulate cellular lipid and energy metabolism for facilitating dengue virus infection. PLoS Pathog 18:e1010763. doi: 10.1371/journal.ppat.1010763 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Yousefi M, See WR, Aw-Yong KL, Lee WS, Yong CL, Fanusi F, Smith GJD, Ooi EE, Li S, Ghosh S, Ooi YS. 2024. GeneRaMeN enables integration, comparison, and meta-analysis of multiple ranked gene lists to identify consensus, unique, and correlated genes. Brief Bioinform 25. doi: 10.1093/bib/bbae452 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Freppel W, Barragan Torres VA, Uyar O, Anton A, Nouhi Z, Broquière M, Mazeaud C, Sow AA, Léveillé A, Gilbert C, Tremblay N, Owen JE, Bemis CL, Laulhé X, Lamarre A, Neufeldt CJ, Rodrigue-Gervais IG, Pichlmair A, Girard D, Scaturro P, Hulea L, Chatel-Chaix L. 2025. Dengue virus and Zika virus alter endoplasmic reticulum-mitochondria contact sites to regulate respiration and apoptosis. iScience 28:111599. doi: 10.1016/j.isci.2024.111599 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Makhluf H, Shresta S. 2015. Innate antiviral immunity against dengue virus. Crit Rev Immunol 35:253–260. doi: 10.1615/critrevimmunol.2015014251 [DOI] [PubMed] [Google Scholar]
- 68. Chan YK, Gack MU. 2016. Viral evasion of intracellular DNA and RNA sensing. Nat Rev Microbiol 14:360–373. doi: 10.1038/nrmicro.2016.45 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Stegeman SK, Kourko O, Amsden H, Pellizzari Delano IE, Mamatis JE, Roth M, Colpitts CC, Gee K. 2025. RNA viruses, toll-like receptors, and cytokines: the perfect storm? J Innate Immun 17:126–153. doi: 10.1159/000543608 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Brass AL, Huang I-C, Benita Y, John SP, Krishnan MN, Feeley EM, Ryan BJ, Weyer JL, van der Weyden L, Fikrig E, Adams DJ, Xavier RJ, Farzan M, Elledge SJ. 2009. The IFITM proteins mediate cellular resistance to influenza A H1N1 virus, West Nile virus, and dengue virus. Cell 139:1243–1254. doi: 10.1016/j.cell.2009.12.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Diamond MS, Roberts TG, Edgil D, Lu B, Ernst J, Harris E. 2000. Modulation of Dengue virus infection in human cells by alpha, beta, and gamma interferons. J Virol 74:4957–4966. doi: 10.1128/jvi.74.11.4957-4966.2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Diamond MS, Harris E. 2001. Interferon inhibits dengue virus infection by preventing translation of viral RNA through a PKR-independent mechanism. Virology (Auckl) 289:297–311. doi: 10.1006/viro.2001.1114 [DOI] [PubMed] [Google Scholar]
- 73. Macha NO, Komarasamy TV, Harun S, Adnan NAA, Hassan SS, Balasubramaniam VRMT. 2024. Cross talk between microRNAs and dengue virus. Am J Trop Med Hyg 110:856–867. doi: 10.4269/ajtmh.23-0546 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Melo K, Dos Santos CR, Franco ECS, Martins Filho AJ, Casseb SMM, Vasconcelos PF da C. 2024. Exploring the interplay between miRNAs, apoptosis and viral load, in Dengue virus infection. Virology (Auckl) 596:110095. doi: 10.1016/j.virol.2024.110095 [DOI] [PubMed] [Google Scholar]
- 75. Casadémont I, Ayala-Suárez R, Modhiran N, Tawfik A, Prot M, Paul R, Simon-Lorière E, Díez-Fuertes F, Ubol S, Alcamí J, Sakuntabhai A. 2025. miRNome analysis reveals mir-155-5p as a protective factor to dengue infection in a resistant Thai cohort. Med Microbiol Immunol 214:13. doi: 10.1007/s00430-025-00821-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Liao KC, Xie X, Sundstrom AKB, Lim XN, Tan KK, Zhang Y, Zou J, Bifani AM, Poh HX, Chen JJ, Ng WC, Lim SY, Ooi EE, Sessions OM, Tay Y, Shi PY, Huber RG, Wan Y. 2023. Dengue and Zika RNA-RNA interactomes reveal pro- and anti-viral RNA in human cells. Genome Biol 24:279. doi: 10.1186/s13059-023-03110-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Osorio JE, Huang CYH, Kinney RM, Stinchcomb DT. 2011. Development of DENVax: a chimeric dengue-2 PDK-53-based tetravalent vaccine for protection against dengue fever. Vaccine (Auckl) 29:7251–7260. doi: 10.1016/j.vaccine.2011.07.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Choy MM, Ng DHL, Siriphanitchakorn T, Ng WC, Sundstrom KB, Tan HC, Zhang SL, Chan KWK, Manuel M, Kini RM, Chan KR, Vasudevan SG, Ooi EE. 2020. A non-structural 1 protein G53D substitution attenuates a clinically tested live dengue vaccine. Cell Rep 31:107617. doi: 10.1016/j.celrep.2020.107617 [DOI] [PubMed] [Google Scholar]
- 79. Kouri GP, Guzmán MG, Bravo JR. 1987. Why dengue haemorrhagic fever in Cuba? 2. An integral analysis. Trans R Soc Trop Med Hyg 81:821–823. doi: 10.1016/0035-9203(87)90042-3 [DOI] [PubMed] [Google Scholar]
- 80. Rodriguez-Roche R, Sanchez L, Burgher Y, Rosario D, Alvarez M, Kouri G, Halstead SB, Gould EA, Guzman MG. 2011. Virus role during intraepidemic increase in dengue disease severity. Vector Borne Zoonotic Dis 11:675–681. doi: 10.1089/vbz.2010.0177 [DOI] [PubMed] [Google Scholar]
- 81. Bennett SN, Holmes EC, Chirivella M, Rodriguez DM, Beltran M, Vorndam V, Gubler DJ, McMillan WO. 2006. Molecular evolution of dengue 2 virus in Puerto Rico: positive selection in the viral envelope accompanies clade reintroduction. J Gen Virol 87:885–893. doi: 10.1099/vir.0.81309-0 [DOI] [PubMed] [Google Scholar]
- 82. Guzman MG, Halstead SB, Artsob H, Buchy P, Farrar J, Gubler DJ, Hunsperger E, Kroeger A, Margolis HS, Martínez E, Nathan MB, Pelegrino JL, Simmons C, Yoksan S, Peeling RW. 2010. Dengue: a continuing global threat. Nat Rev Microbiol 8:S7–16. doi: 10.1038/nrmicro2460 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Lee KS, Lai YL, Lo S, Barkham T, Aw P, Ooi PL, Tai JC, Hibberd M, Johansson P, Khoo SP, Ng LC. 2010. Dengue virus surveillance for early warning, Singapore. Emerg Infect Dis 16:847–849. doi: 10.3201/eid1605.091006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Messer WB, Gubler DJ, Harris E, Sivananthan K, de Silva AM. 2003. Emergence and global spread of a dengue serotype 3, subtype III virus. Emerg Infect Dis 9:800–809. doi: 10.3201/eid0907.030038 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. OhAinle M, Balmaseda A, Macalalad AR, Tellez Y, Zody MC, Saborío S, Nuñez A, Lennon NJ, Birren BW, Gordon A, Henn MR, Harris E. 2011. Dynamics of dengue disease severity determined by the interplay between viral genetics and serotype-specific immunity. Sci Transl Med 3:114ra128. doi: 10.1126/scitranslmed.3003084 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Steel A, Gubler DJ, Bennett SN. 2010. Natural attenuation of dengue virus type-2 after a series of island outbreaks: a retrospective phylogenetic study of events in the South Pacific three decades ago. Virology (Auckl) 405:505–512. doi: 10.1016/j.virol.2010.05.033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Vu TTH, Holmes EC, Duong V, Nguyen TQ, Tran TH, Quail M, Churcher C, Parkhill J, Cardosa J, Farrar J, Wills B, Lennon NJ, Birren BW, Buchy P, Henn MR, Simmons CP. 2010. Emergence of the Asian 1 genotype of dengue virus serotype 2 in viet nam: in vivo fitness advantage and lineage replacement in South-East Asia. PLoS Negl Trop Dis 4:e757. doi: 10.1371/journal.pntd.0000757 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Rico-Hesse R, Harrison LM, Salas RA, Tovar D, Nisalak A, Ramos C, Boshell J, de Mesa MT, Nogueira RM, da Rosa AT. 1997. Origins of dengue type 2 viruses associated with increased pathogenicity in the Americas. Virology (Auckl) 230:244–251. doi: 10.1006/viro.1997.8504 [DOI] [PubMed] [Google Scholar]
- 89. Choi ANX, Gubler DJ, Ooi EE. 2025. Genetics of dengue epidemics. Trends Microbiol:S0966-842X(25)00154-4. doi: 10.1016/j.tim.2025.05.007 [DOI] [PubMed] [Google Scholar]
- 90. Barnes WJ, Rosen L. 1974. Fatal hemorrhagic disease and shock associated with primary dengue infection on a Pacific island. Am J Trop Med Hyg 23:495–506. doi: 10.4269/ajtmh.1974.23.495 [DOI] [PubMed] [Google Scholar]
- 91. Gubler DJ, Reed D, Rosen L, Hitchcock JR. 1978. Epidemiologic, clinical, and virologic observations on dengue in the Kingdom of Tonga. Am J Trop Med Hyg 27:581–589. doi: 10.4269/ajtmh.1978.27.581 [DOI] [PubMed] [Google Scholar]
- 92. Choi ANX, Siriphanitchakorn T, Choy MM, Ooi JSG, Manuel M, Tan HC, Lin LZ, Yap X, Gubler DJ, Ooi EE. 2024. A prM mutation that attenuates dengue virus replication in human cells enhances midgut infection in mosquitoes. Sci Transl Med 16:eadk4769. doi: 10.1126/scitranslmed.adk4769 [DOI] [PubMed] [Google Scholar]
- 93. Syenina A, Vijaykrishna D, Gan ES, Tan HC, Choy MM, Siriphanitchakorn T, Cheng C, Vasudevan SG, Ooi EE. 2020. Positive epistasis between viral polymerase and the 3’ untranslated region of its genome reveals the epidemiologic fitness of dengue virus. Proc Natl Acad Sci USA 117:11038–11047. doi: 10.1073/pnas.1919287117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Manokaran G, Finol E, Wang C, Gunaratne J, Bahl J, Ong EZ, Tan HC, Sessions OM, Ward AM, Gubler DJ, Harris E, Garcia-Blanco MA, Ooi EE. 2015. Dengue subgenomic RNA binds TRIM25 to inhibit interferon expression for epidemiological fitness. Science 350:217–221. doi: 10.1126/science.aab3369 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Chapman EG, Moon SL, Wilusz J, Kieft JS. 2014. RNA structures that resist degradation by Xrn1 produce a pathogenic Dengue virus RNA. Elife 3:e01892. doi: 10.7554/eLife.01892 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Chapman EG, Costantino DA, Rabe JL, Moon SL, Wilusz J, Nix JC, Kieft JS. 2014. The structural basis of pathogenic subgenomic flavivirus RNA (sfRNA) production. Science 344:307–310. doi: 10.1126/science.1250897 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Pijlman GP, Funk A, Kondratieva N, Leung J, Torres S, van der Aa L, Liu WJ, Palmenberg AC, Shi P-Y, Hall RA, Khromykh AA. 2008. A highly structured, nuclease-resistant, noncoding RNA produced by flaviviruses is required for pathogenicity. Cell Host Microbe 4:579–591. doi: 10.1016/j.chom.2008.10.007 [DOI] [PubMed] [Google Scholar]
- 98. Doets K, Pijlman GP. 2024. Subgenomic flavivirus RNA as key target for live-attenuated vaccine development. J Virol 98:e0010023. doi: 10.1128/jvi.00100-23 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Twiddy SS, Woelk CH, Holmes EC. 2002. Phylogenetic evidence for adaptive evolution of dengue viruses in nature. J Gen Virol 83:1679–1689. doi: 10.1099/0022-1317-83-7-1679 [DOI] [PubMed] [Google Scholar]
- 100. Dejnirattisai W, Wongwiwat W, Supasa S, Zhang X, Dai X, Rouvinski A, Jumnainsong A, Edwards C, Quyen NTH, Duangchinda T, Grimes JM, Tsai W-Y, Lai C-Y, Wang W-K, Malasit P, Farrar J, Simmons CP, Zhou ZH, Rey FA, Mongkolsapaya J, Screaton GR. 2015. A new class of highly potent, broadly neutralizing antibodies isolated from viremic patients infected with dengue virus. Nat Immunol 16:170–177. doi: 10.1038/ni.3058 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Katzelnick LC, Gresh L, Halloran ME, Mercado JC, Kuan G, Gordon A, Balmaseda A, Harris E. 2017. Antibody-dependent enhancement of severe dengue disease in humans. Science 358:929–932. doi: 10.1126/science.aan6836 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Waggoner JJ, Balmaseda A, Gresh L, Sahoo MK, Montoya M, Wang C, Abeynayake J, Kuan G, Pinsky BA, Harris E. 2016. Homotypic dengue virus reinfections in Nicaraguan children. J Infect Dis 214:986–993. doi: 10.1093/infdis/jiw099 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. Sáez-Llorens X, Biswal S, Borja-Tabora C, Fernando L, Liu M, Wallace D, Folschweiller N, Reynales H, LeFevre I, Group TS. 2023. Effect of the tetravalent dengue vaccine TAK-003 on sequential episodes of symptomatic dengue. Am J Trop Med Hyg 108:722–726. doi: 10.4269/ajtmh.22-0673 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. SABIN AB. 1952. Research on dengue during World War II. Am J Trop Med Hyg 1:30–50. doi: 10.4269/ajtmh.1952.1.30 [DOI] [PubMed] [Google Scholar]
- 105. Snow GE, Haaland B, Ooi EE, Gubler DJ. 2014. Review article: Research on dengue during World War II revisited. Am J Trop Med Hyg 91:1203–1217. doi: 10.4269/ajtmh.14-0132 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106. Montoya M, Gresh L, Mercado JC, Williams KL, Vargas MJ, Gutierrez G, Kuan G, Gordon A, Balmaseda A, Harris E. 2013. Symptomatic versus inapparent outcome in repeat dengue virus infections is influenced by the time interval between infections and study year. PLoS Negl Trop Dis 7:e2357. doi: 10.1371/journal.pntd.0002357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Anderson KB, Gibbons RV, Cummings DAT, Nisalak A, Green S, Libraty DH, Jarman RG, Srikiatkhachorn A, Mammen MP, Darunee B, Yoon I-K, Endy TP. 2014. A shorter time interval between first and second dengue infections is associated with protection from clinical illness in a school-based cohort in Thailand. J Infect Dis 209:360–368. doi: 10.1093/infdis/jit436 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108. Nunes PCG, de Filippis AMB, Lima MQ da R, Faria NR da C, de Bruycker-Nogueira F, Santos JB, Heringer M, Chouin-Carneiro T, Couto-Lima D, de Santis Gonçalves B, Sampaio SA, de Araújo ESM, Sánchez-Arcila JC, Dos Santos FB, Nogueira RMR. 2018. 30 years of dengue fatal cases in Brazil: a laboratorial-based investigation of 1047 cases. BMC Infect Dis 18:346. doi: 10.1186/s12879-018-3255-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Rosen L. 1977. The Emperor’s New Clothes revisited, or reflections on the pathogenesis of dengue hemorrhagic fever. Am J Trop Med Hyg 26:337–343. doi: 10.4269/ajtmh.1977.26.337 [DOI] [PubMed] [Google Scholar]
- 110. Guzmán MG, Kouri G, Valdes L, Bravo J, Alvarez M, Vazques S, Delgado I, Halstead SB. 2000. Epidemiologic studies on dengue in Santiago de Cuba, 1997. Am J Epidemiol 152:793–799; doi: 10.1093/aje/152.9.793 [DOI] [PubMed] [Google Scholar]
- 111. Winter PE, Nantapanich S, Nisalak A, Udomsakdi S, Dewey RW, Russell PK. 1969. Recurrence of epidemic dengue hemorrhagic fever in an insular setting. Am J Trop Med Hyg 18:573–579. doi: 10.4269/ajtmh.1969.18.573 [DOI] [PubMed] [Google Scholar]
- 112. Halstead SB, Nimmannitya S, Cohen SN. 1970. Observations related to pathogenesis of dengue hemorrhagic fever. IV. Relation of disease severity to antibody response and virus recovered. Yale J Biol Med 42:311–328. [PMC free article] [PubMed] [Google Scholar]
- 113. Halstead SB, O’Rourke EJ. 1977. Antibody-enhanced dengue virus infection in primate leukocytes. Nature 265:739–741. doi: 10.1038/265739a0 [DOI] [PubMed] [Google Scholar]
- 114. Chan KR, Ong EZ, Tan HC, Zhang SL-X, Zhang Q, Tang KF, Kaliaperumal N, Lim APC, Hibberd ML, Chan SH, Connolly JE, Krishnan MN, Lok SM, Hanson BJ, Lin C-N, Ooi EE. 2014. Leukocyte immunoglobulin-like receptor B1 is critical for antibody-dependent dengue. Proc Natl Acad Sci USA 111:2722–2727. doi: 10.1073/pnas.1317454111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Hidari KIPJ, Suzuki T. 2011. Dengue virus receptor. Trop Med Health 39:37–43. doi: 10.2149/tmh.2011-S03 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116. Kliks SC, Nimmanitya S, Nisalak A, Burke DS. 1988. Evidence that maternal dengue antibodies are important in the development of dengue hemorrhagic fever in infants. Am J Trop Med Hyg 38:411–419. doi: 10.4269/ajtmh.1988.38.411 [DOI] [PubMed] [Google Scholar]
- 117. Simmons CP, Chau TNB, Thuy TT, Tuan NM, Hoang DM, Thien NT, Lien LB, Quy NT, Hieu NT, Hien TT, McElnea C, Young P, Whitehead S, Hung NT, Farrar J. 2007. Maternal antibody and viral factors in the pathogenesis of dengue virus in infants. J Infect Dis 196:416–424. doi: 10.1086/519170 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. Chau TNB, Hieu NT, Anders KL, Wolbers M, Lien LB, Hieu LTM, Hien TT, Hung NT, Farrar J, Whitehead S, Simmons CP. 2009. Dengue virus infections and maternal antibody decay in a prospective birth cohort study of Vietnamese infants. J Infect Dis 200:1893–1900. doi: 10.1086/648407 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119. Halstead SB, Lan NT, Myint TT, Shwe TN, Nisalak A, Kalyanarooj S, Nimmannitya S, Soegijanto S, Vaughn DW, Endy TP. 2002. Dengue hemorrhagic fever in infants: research opportunities ignored. Emerg Infect Dis 8:1474–1479. doi: 10.3201/eid0812.020170 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Singh T, Hwang K-K, Miller AS, Jones RL, Lopez CA, Dulson SJ, Giuberti C, Gladden MA, Miller I, Webster HS, et al. 2022. A Zika virus-specific IgM elicited in pregnancy exhibits ultrapotent neutralization. Cell 185:4826–4840. doi: 10.1016/j.cell.2022.10.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Wegman Adam D., Fang H, Rothman AL, Thomas SJ, Endy TP, McCracken MK, Currier JR, Friberg H, Gromowski GD, Waickman AT. 2021. Monomeric IgA antagonizes IgG-mediated enhancement of DENV infection. Front Immunol 12:777672. doi: 10.3389/fimmu.2021.777672 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Wegman A.D, Waldran MJ, Bahr LE, Lu JQ, Baxter KE, Thomas SJ, Waickman AT. 2023. DENV-specific IgA contributes protective and non-pathologic function during antibody-dependent enhancement of DENV infection. PLoS Pathog 19:e1011616. doi: 10.1371/journal.ppat.1011616 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Dhodapkar KM, Banerjee D, Connolly J, Kukreja A, Matayeva E, Veri MC, Ravetch JV, Steinman RM, Dhodapkar MV. 2007. Selective blockade of the inhibitory Fcγ receptor (FcγRIIB) in human dendritic cells and monocytes induces a type I interferon response program. J Exp Med 204:1359–1369. doi: 10.1084/jem.20062545 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Nimmerjahn F, Lux A. 2014. LILR-B1 blocks activating FcγR signaling to allow antibody dependent enhancement of dengue virus infection. Proc Natl Acad Sci USA 111:2404–2405. doi: 10.1073/pnas.1324286111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125. Halstead SB, Mahalingam S, Marovich MA, Ubol S, Mosser DM. 2010. Intrinsic antibody-dependent enhancement of microbial infection in macrophages: disease regulation by immune complexes. Lancet Infect Dis 10:712–722. doi: 10.1016/S1473-3099(10)70166-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126. Ubol S, Halstead SB. 2010. How innate immune mechanisms contribute to antibody-enhanced viral infections. Clin Vaccine Immunol 17:1829–1835. doi: 10.1128/CVI.00316-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. Chan CYY, Low JZH, Gan ES, Ong EZ, Zhang S-X, Tan HC, Chai X, Ghosh S, Ooi EE, Chan KR. 2019. Antibody-dependent dengue virus entry modulates cell intrinsic responses for enhanced infection. mSphere 4:e00528-19. doi: 10.1128/mSphere.00528-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128. Ong EZ, Zhang SL, Tan HC, Gan ES, Chan KR, Ooi EE. 2017. Dengue virus compartmentalization during antibody-enhanced infection. Sci Rep 7:40923. doi: 10.1038/srep40923 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129. Salje H, Cummings DAT, Rodriguez-Barraquer I, Katzelnick LC, Lessler J, Klungthong C, Thaisomboonsuk B, Nisalak A, Weg A, Ellison D, Macareo L, Yoon IK, Jarman R, Thomas S, Rothman AL, Endy T, Cauchemez S. 2018. Reconstruction of antibody dynamics and infection histories to evaluate dengue risk. Nature 557:719–723. doi: 10.1038/s41586-018-0157-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130. Smith KGC, Clatworthy MR. 2010. FcγRIIB in autoimmunity and infection: evolutionary and therapeutic implications. Nat Rev Immunol 10:328–343. doi: 10.1038/nri2762 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131. Chan KR, Zhang SL-X, Tan HC, Chan YK, Chow A, Lim APC, Vasudevan SG, Hanson BJ, Ooi EE. 2011. Ligation of Fc gamma receptor IIB inhibits antibody-dependent enhancement of dengue virus infection. Proc Natl Acad Sci USA 108:12479–12484. doi: 10.1073/pnas.1106568108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Wang TT, Sewatanon J, Memoli MJ, Wrammert J, Bournazos S, Bhaumik SK, Pinsky BA, Chokephaibulkit K, Onlamoon N, Pattanapanyasat K, Taubenberger JK, Ahmed R, Ravetch JV. 2017. IgG antibodies to dengue enhanced for FcγRIIIA binding determine disease severity. Science 355:395–398. doi: 10.1126/science.aai8128 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Bournazos S, Vo HTM, Duong V, Auerswald H, Ly S, Sakuntabhai A, Dussart P, Cantaert T, Ravetch JV. 2021. Antibody fucosylation predicts disease severity in secondary dengue infection. Science 372:1102–1105. doi: 10.1126/science.abc7303 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134. Yandamuri SS, O’Connor KC. 2021. Lost in post-translational modification-dengue virus writes its own sequel. Sci Immunol 6:eabk1555. doi: 10.1126/sciimmunol.abk1555 [DOI] [PubMed] [Google Scholar]
- 135. Libraty DH, Acosta LP, Tallo V, Segubre-Mercado E, Bautista A, Potts JA, Jarman RG, Yoon IK, Gibbons RV, Brion JD, Capeding RZ. 2009. A prospective nested case-control study of dengue in infants: rethinking and refining the antibody-dependent enhancement dengue hemorrhagic fever model. PLoS Med 6:e1000171. doi: 10.1371/journal.pmed.1000171 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Clapham H, Cummings DAT, Nisalak A, Kalayanarooj S, Thaisomboonsuk B, Klungthong C, Fernandez S, Srikiatkhachorn A, Macareo LR, Lessler J, Reiser J, Yoon I-K. 2015. Epidemiology of infant dengue cases illuminates serotype-specificity in the interaction between immunity and disease, and changes in transmission dynamics. PLoS Negl Trop Dis 9:e0004262. doi: 10.1371/journal.pntd.0004262 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137. Wang L, Huang AT, Katzelnick LC, Lefrancq N, Escoto AC, Duret L, Chowdhury N, Jarman R, Conte MA, Berry IM, Fernandez S, Klungthong C, Thaisomboonsuk B, Suntarattiwong P, Vandepitte W, Whitehead SS, Cauchemez S, Cummings DAT, Salje H. 2024. Antigenic distance between primary and secondary dengue infections correlates with disease risk. Sci Transl Med 16:eadk3259. doi: 10.1126/scitranslmed.adk3259 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138. Ghita L, Yao Z, Xie Y, Duran V, Cagirici HB, Samir J, Osman I, Rebellón-Sánchez DE, Agudelo-Rojas OL, Sanz AM, Sahoo MK, Robinson ML, Gelvez-Ramirez RM, Bueno N, Luciani F, Pinsky BA, Montoya JG, Estupiñan-Cardenas MI, Villar-Centeno LA, Rojas-Garrido EM, Rosso F, Quake SR, Zanini F, Einav S. 2023. Global and cell type-specific immunological hallmarks of severe dengue progression identified via a systems immunology approach. Nat Immunol 24:2150–2163. doi: 10.1038/s41590-023-01654-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Gebo C, Hardy CSC, McElvany BD, Graham NR, Lu JQ, Moradpour S, Currier JR, Friberg H, Gromowski GD, Thomas SJ, Chan GC, Diehl SA, Waickman AT. 2024. B cell receptor dependent enhancement of dengue virus infection. PLoS Pathog 20:e1012683. doi: 10.1371/journal.ppat.1012683 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140. Vuong NL, Quyen NTH, Tien NTH, Tuan NM, Kien DTH, Lam PK, Tam DTH, Van Ngoc T, Yacoub S, Jaenisch T, Geskus RB, Simmons CP, Wills BA. 2021. Higher plasma viremia in the febrile phase is associated with adverse dengue outcomes irrespective of infecting serotype or host immune status: an analysis of 5642 Vietnamese cases. Clin Infect Dis 72:e1074–e1083. doi: 10.1093/cid/ciaa1840 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141. Vuong NL, Quyen NTH, Tien NTH, Duong Thi Hue K, Duyen HTL, Lam PK, Tam DTH, Van Ngoc T, Jaenisch T, Simmons CP, Yacoub S, Wills BA, Geskus R. 2024. Dengue viremia kinetics and effects on platelet count and clinical outcomes: an analysis of 2340 patients from Vietnam. Elife 13:RP92606. doi: 10.7554/eLife.92606 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142. Wilder-Smith A, Ooi EE, Horstick O, Wills B. 2019. Dengue. The Lancet 393:350–363. doi: 10.1016/S0140-6736(18)32560-1 [DOI] [PubMed] [Google Scholar]
- 143. Glasner DR, Puerta-Guardo H, Beatty PR, Harris E. 2018. The good, the bad, and the shocking: the multiple roles of dengue virus nonstructural protein 1 in protection and pathogenesis. Annu Rev Virol 5:227–253. doi: 10.1146/annurev-virology-101416-041848 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144. Glasner DR, Ratnasiri K, Puerta-Guardo H, Espinosa DA, Beatty PR, Harris E. 2017. Dengue virus NS1 cytokine-independent vascular leak is dependent on endothelial glycocalyx components. PLoS Pathog 13:e1006673. doi: 10.1371/journal.ppat.1006673 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145. Beatty PR, Puerta-Guardo H, Killingbeck SS, Glasner DR, Hopkins K, Harris E. 2015. Dengue virus NS1 triggers endothelial permeability and vascular leak that is prevented by NS1 vaccination. Sci Transl Med 7:304ra141. doi: 10.1126/scitranslmed.aaa3787 [DOI] [PubMed] [Google Scholar]
- 146. Modhiran N, Watterson D, Muller DA, Panetta AK, Sester DP, Liu L, Hume DA, Stacey KJ, Young PR. 2015. Dengue virus NS1 protein activates cells via Toll-like receptor 4 and disrupts endothelial cell monolayer integrity. Sci Transl Med 7:304ra142. doi: 10.1126/scitranslmed.aaa3863 [DOI] [PubMed] [Google Scholar]
- 147. Biering SB, Akey DL, Wong MP, Brown WC, Lo NTN, Puerta-Guardo H, Tramontini Gomes de Sousa F, Wang C, Konwerski JR, Espinosa DA, Bockhaus NJ, Glasner DR, Li J, Blanc SF, Juan EY, Elledge SJ, Mina MJ, Beatty PR, Smith JL, Harris E. 2021. Structural basis for antibody inhibition of flavivirus NS1–triggered endothelial dysfunction. Science 371:194–200. doi: 10.1126/science.abc0476 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Modhiran N, Song H, Liu L, Bletchly C, Brillault L, Amarilla AA, Xu X, Qi J, Chai Y, Cheung STM, Traves R, Setoh YX, Bibby S, Scott CAP, Freney ME, Newton ND, Khromykh AA, Chappell KJ, Muller DA, Stacey KJ, Landsberg MJ, Shi Y, Gao GF, Young PR, Watterson D. 2021. A broadly protective antibody that targets the flavivirus NS1 protein. Science 371:190–194. doi: 10.1126/science.abb9425 [DOI] [PubMed] [Google Scholar]
- 149. Schlesinger JJ, Brandriss MW, Walsh EE. 1987. Protection of mice against dengue 2 virus encephalitis by immunization with the dengue 2 virus non-structural glycoprotein NS1. J Gen Virol 68:853–857. doi: 10.1099/0022-1317-68-3-853 [DOI] [PubMed] [Google Scholar]
- 150. Libraty DH, Endy TP, Houng HH, Green S, Kalayanarooj S, Suntayakorn S, Chansiriwongs W, Vaughn DW, Nisalak A, Ennis FA, Rothman AL. 2002. Differing influences of virus burden and immune activation on disease severity in secondary dengue-3 virus infections. J Infect Dis 185:1213–1221. doi: 10.1086/340365 [DOI] [PubMed] [Google Scholar]
- 151. Duong V, Ly S, Lorn Try P, Tuiskunen A, Ong S, Chroeung N, Lundkvist A, Leparc-Goffart I, Deubel V, Vong S, Buchy P. 2011. Clinical and virological factors influencing the performance of a NS1 antigen-capture assay and potential use as a marker of dengue disease severity. PLoS Negl Trop Dis 5:e1244. doi: 10.1371/journal.pntd.0001244 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152. Duyen HTL, Ngoc TV, Ha DT, Hang VTT, Kieu NTT, Young PR, Farrar JJ, Simmons CP, Wolbers M, Wills BA. 2011. Kinetics of plasma viremia and soluble nonstructural protein 1 concentrations in dengue: differential effects according to serotype and immune status. J Infect Dis 203:1292–1300. doi: 10.1093/infdis/jir014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153. Tricou V, Minh NN, Farrar J, Tran HT, Simmons CP. 2011. Kinetics of viremia and NS1 antigenemia are shaped by immune status and virus serotype in adults with dengue. PLoS Negl Trop Dis 5:e1309. doi: 10.1371/journal.pntd.0001309 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154. Malavige GN, Ogg GS. 2024. Molecular mechanisms in the pathogenesis of dengue infections. Trends Mol Med 30:484–498. doi: 10.1016/j.molmed.2024.03.006 [DOI] [PubMed] [Google Scholar]
- 155. Tissera H, Rathore APS, Leong WY, Pike BL, Warkentien TE, Farouk FS, Syenina A, Eong Ooi E, Gubler DJ, Wilder-Smith A, St. John AL. 2017. Chymase level is a predictive biomarker of dengue hemorrhagic fever in pediatric and adult patients. J Infect Dis 216:1112–1121. doi: 10.1093/infdis/jix447 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156. Rathore APS, Senanayake M, Athapathu AS, Gunasena S, Karunaratna I, Leong WY, Lim T, Mantri CK, Wilder-Smith A, St. John AL. 2020. Serum chymase levels correlate with severe dengue warning signs and clinical fluid accumulation in hospitalized pediatric patients. Sci Rep 10:11856. doi: 10.1038/s41598-020-68844-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Loke WM, Chow AY, Lam Mok Sing K, Lee C-YJ, Halliwell B, Lim EC, Quek AM, Ooi EE, Seet RC. 2013. Augmentation of 5-lipoxygenase activity and expression during dengue serotype-2 infection. Virol J 10:322. doi: 10.1186/1743-422X-10-322 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158. Chia PY, Teo A, Yeo TW. 2022. Association of neutrophil mediators with dengue disease severity and cardiac impairment in adults. J Infect Dis 226:1974–1984. doi: 10.1093/infdis/jiac383 [DOI] [PubMed] [Google Scholar]
- 159. Chua CLL, Morales RF, Chia PY, Yeo TW, Teo A. 2024. Neutrophils – an understudied bystander in dengue? Trends Microbiol 32:1132–1142. doi: 10.1016/j.tim.2024.04.011 [DOI] [PubMed] [Google Scholar]
- 160. Singh A, Yazid NBM, Morales RF, Ejima K, Chia PY, Fong SW, Ng LFP, Renia L, Lye DC, Sun LJ, Tan SY, Chai LYA, Kalimuddin S, Young BE, Yeo TW, Teo A. 2025. Early neutrophil responses are potential biomarkers to predict severe COVID-19 in adults. J Leukoc Biol 117:qiaf035. doi: 10.1093/jleuko/qiaf035 [DOI] [PubMed] [Google Scholar]
- 161. Yacoub S, Wertheim H, Simmons CP, Screaton G, Wills B. 2015. Microvascular and endothelial function for risk prediction in dengue: an observational study. The Lancet 385:S102. doi: 10.1016/S0140-6736(15)60417-2 [DOI] [PubMed] [Google Scholar]
- 162. Yacoub Sophie, Lam PK, Vu LHM, Le TL, Ha NT, Toan TT, Van NT, Quyen NTH, Le Duyen HT, Van Kinh N, Fox A, Mongkolspaya J, Wolbers M, Simmons CP, Screaton GR, Wertheim H, Wills B. 2016. Association of microvascular function and endothelial biomarkers with clinical outcome in dengue: an observational study. J Infect Dis 214:697–706. doi: 10.1093/infdis/jiw220 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Yacoub S, Lam PK, Huynh TT, Nguyen Ho HH, Dong Thi HT, Van NT, Lien LT, Ha QNT, Le DHT, Mongkolspaya J, Culshaw A, Yeo TW, Wertheim H, Simmons C, Screaton G, Wills B. 2017. Endothelial nitric oxide pathways in the pathophysiology of dengue: a prospective observational study. Clin Infect Dis 65:1453–1461. doi: 10.1093/cid/cix567 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164. Duangchinda T, Dejnirattisai W, Vasanawathana S, Limpitikul W, Tangthawornchaikul N, Malasit P, Mongkolsapaya J, Screaton G. 2010. Immunodominant T-cell responses to dengue virus NS3 are associated with DHF. Proc Natl Acad Sci USA 107:16922–16927. doi: 10.1073/pnas.1010867107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165. Mongkolsapaya J, Dejnirattisai W, Xu X, Vasanawathana S, Tangthawornchaikul N, Chairunsri A, Sawasdivorn S, Duangchinda T, Dong T, Rowland-Jones S, Yenchitsomanus P, McMichael A, Malasit P, Screaton G. 2003. Original antigenic sin and apoptosis in the pathogenesis of dengue hemorrhagic fever. Nat Med 9:921–927. doi: 10.1038/nm887 [DOI] [PubMed] [Google Scholar]
- 166. Rouers A, Chng MHY, Lee B, Rajapakse MP, Kaur K, Toh YX, Sathiakumar D, Loy T, Thein TL, Lim VWX, Singhal A, Yeo TW, Leo YS, Vora KA, Casimiro D, Lim B, Tucker-Kellogg L, Rivino L, Newell EW, Fink K. 2021. Immune cell phenotypes associated with disease severity and long-term neutralizing antibody titers after natural dengue virus infection. Cell Rep Med 2:100278. doi: 10.1016/j.xcrm.2021.100278 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167. Robinson ML, Glass DR, Duran V, Agudelo Rojas OL, Sanz AM, Consuegra M, Sahoo MK, Hartmann FJ, Bosse M, Gelvez RM, Bueno N, Pinsky BA, Montoya JG, Maecker H, Estupiñan Cardenas MI, Villar Centeno LA, Garrido EMR, Rosso F, Bendall SC, Einav S. 2023. Magnitude and kinetics of the human immune cell response associated with severe dengue progression by single-cell proteomics. Sci Adv 9:eade7702. doi: 10.1126/sciadv.ade7702 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168. Vuong NL, Cheung KW, Periaswamy B, Vi TT, Duyen HTL, Leong YS, Binte Hamis ZN, Gregorova M, Ooi EE, Sessions O, Rivino L, Yacoub S. 2022. Hyperinflammatory syndrome, natural killer cell function and genetic polymorphisms in the pathogenesis of severe dengue. J Infect Dis 226:1338–1347. doi: 10.1093/infdis/jiac093 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169. Robinson M, Sweeney TE, Barouch-Bentov R, Sahoo MK, Kalesinskas L, Vallania F, Sanz AM, Ortiz-Lasso E, Albornoz LL, Rosso F, Montoya JG, Pinsky BA, Khatri P, Einav S. 2019. A 20-gene set predictive of progression to severe dengue. Cell Rep 26:1104–1111. doi: 10.1016/j.celrep.2019.01.033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170. Robinson M, Einav S. 2020. Towards predicting progression to severe dengue. Trends Microbiol 28:478–486. doi: 10.1016/j.tim.2019.12.003 [DOI] [PubMed] [Google Scholar]
- 171. Zanini F, Robinson ML, Croote D, Sahoo MK, Sanz AM, Ortiz-Lasso E, Albornoz LL, Rosso F, Montoya JG, Goo L, Pinsky BA, Quake SR, Einav S. 2018. Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue. Proc Natl Acad Sci USA 115:E12363–E12369. doi: 10.1073/pnas.1813819115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172. Loke H, Bethell D, Phuong CXT, Day N, White N, Farrar J, Hill A. 2002. Susceptibility to dengue hemorrhagic fever in vietnam: evidence of an association with variation in the vitamin D receptor and Fc gamma receptor IIa genes. Am J Trop Med Hyg 67:102–106. doi: 10.4269/ajtmh.2002.67.102 [DOI] [PubMed] [Google Scholar]
- 173. García G, Sierra B, Pérez AB, Aguirre E, Rosado I, Gonzalez N, Izquierdo A, Pupo M, Danay Díaz DR, Sánchez L, Marcheco B, Hirayama K, Guzmán MG. 2010. Asymptomatic dengue infection in a Cuban population confirms the protective role of the RR variant of the FcγRIIa polymorphism. Am J Trop Med Hyg 82:1153–1156. doi: 10.4269/ajtmh.2010.09-0353 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174. Cansanção IF, Carmo APS do, Leite RD, Rabenhorst SHB. 2016. Association of polymorphisms in IL1β -511C>T, IL1RN 86 bp VNTR, and IL6 -174G>C genes with clinical dengue signs and symptoms in Brazilian dengue patients. Viral Immunol 29:372–376. doi: 10.1089/vim.2015.0082 [DOI] [PubMed] [Google Scholar]
- 175. Cansanção IF, do Carmo APS, Leite RD, Portela RDP, de Sá Leitão Paiva Júnior S, de Queiroz Balbino V, Rabenhorst SHB. 2016. Association of genetic polymorphisms of IL1β -511 C>T, IL1RN VNTR 86 bp, IL6 -174 G>C, IL10 -819 C>T and TNFα -308 G>A, involved in symptomatic patients with dengue in Brazil. Inflamm Res 65:925–932. doi: 10.1007/s00011-016-0975-5 [DOI] [PubMed] [Google Scholar]
- 176. Sierra B, Alegre R, Pérez AB, García G, Sturn-Ramirez K, Obasanjo O, Aguirre E, Alvarez M, Rodriguez-Roche R, Valdés L, Kanki P, Guzmán MG. 2007. HLA-A, -B, -C, and -DRB1 allele frequencies in Cuban individuals with antecedents of dengue 2 disease: advantages of the Cuban population for HLA studies of dengue virus infection. Hum Immunol 68:531–540. doi: 10.1016/j.humimm.2007.03.001 [DOI] [PubMed] [Google Scholar]
- 177. Vejbaesya S, Luangtrakool P, Luangtrakool K, Kalayanarooj S, Vaughn DW, Endy TP, Mammen MP, Green S, Libraty DH, Ennis FA, Rothman AL, Stephens HAF. 2009. TNF and LTA gene, allele, and extended HLA haplotype associations with severe dengue virus infection in ethnic Thais. J Infect Dis 199:1442–1448. doi: 10.1086/597422 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178. O’Neill LAJ, Pearce EJ. 2016. Immunometabolism governs dendritic cell and macrophage function. J Exp Med 213:15–23. doi: 10.1084/jem.20151570 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179. Pearce EL, Pearce EJ. 2013. Metabolic pathways in immune cell activation and quiescence. Immunity 38:633–643. doi: 10.1016/j.immuni.2013.04.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180. Sierra B, Triska P, Soares P, Garcia G, Perez AB, Aguirre E, Oliveira M, Cavadas B, Regnault B, Alvarez M, Ruiz D, Samuels DC, Sakuntabhai A, Pereira L, Guzman MG. 2017. OSBPL10, RXRA and lipid metabolism confer African-ancestry protection against dengue haemorrhagic fever in admixed Cubans. PLoS Pathog 13:e1006220. doi: 10.1371/journal.ppat.1006220 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181. Khor CC, Chau TNB, Pang J, Davila S, Long HT, Ong RTH, Dunstan SJ, Wills B, Farrar J, Van Tram T, et al. 2011. Genome-wide association study identifies susceptibility loci for dengue shock syndrome at MICB and PLCE1. Nat Genet 43:1139–1141. doi: 10.1038/ng.960 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182. Dang TN, Naka I, Sa-Ngasang A, Anantapreecha S, Chanama S, Wichukchinda N, Sawanpanyalert P, Patarapotikul J, Tsuchiya N, Ohashi J. 2014. A replication study confirms the association of GWAS-identified SNPs at MICB and PLCE1 in Thai patients with dengue shock syndrome. BMC Med Genet 15:58. doi: 10.1186/1471-2350-15-58 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183. Gubler DJ. 2011. Dengue, urbanization and globalization: the unholy trinity of the 21(st) century. Trop Med Health 39:3–11. doi: 10.2149/tmh.2011-S05 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184. Gubler DJ. 1998. Dengue and dengue hemorrhagic fever. Clin Microbiol Rev 11:480–496. doi: 10.1128/CMR.11.3.480 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185. Chen Y, Xu Y, Wang L, Liang Y, Li N, Lourenço J, Yang Y, Lin Q, Wang L, Zhao H, Cazelles B, Song H, Liu Z, Wang Z, Brady OJ, Cauchemez S, Tian H. 2024. Indian Ocean temperature anomalies predict long-term global dengue trends. Science 384:639–646. doi: 10.1126/science.adj4427 [DOI] [PubMed] [Google Scholar]
- 186. Messina JP, Brady OJ, Golding N, Kraemer MUG, Wint GRW, Ray SE, Pigott DM, Shearer FM, Johnson K, Earl L, Marczak LB, Shirude S, Davis Weaver N, Gilbert M, Velayudhan R, Jones P, Jaenisch T, Scott TW, Reiner RC, Hay SI. 2019. The current and future global distribution and population at risk of dengue. Nat Microbiol 4:1508–1515. doi: 10.1038/s41564-019-0476-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187. The Lancet . 2024. Dengue: the threat to health now and in the future. The Lancet 404:311. doi: 10.1016/S0140-6736(24)01542-3 [DOI] [PubMed] [Google Scholar]
- 188. Montgomery MJ, Harwood JF, Yougang AP, Wilson-Bahun TA, Tedjou AN, Keumeni CR, Wondji CS, Kamgang B, Kilpatrick AM. 2025. The effects of urbanization, temperature, and rainfall on Aedes aegypti and Aedes albopictus mosquito abundance across a broad latitudinal gradient in Central Africa. Parasit Vectors 18:135. doi: 10.1186/s13071-025-06764-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189. Cattaneo P, Salvador E, Manica M, Barzon L, Castilletti C, Di Gennaro F, Huits R, Merler S, Poletti P, Riccardo F, Saracino A, Segala F, Zammarchi L, Buonfrate D, Gobbi F. 2025. Transmission of autochthonous Aedes-borne arboviruses and related public health challenges in Europe 2007-2023: a systematic review and secondary analysis. Lancet Reg Health Eur 51:101231. doi: 10.1016/j.lanepe.2025.101231 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190. Feaster M, Patrick R, Oshiro M, Kuan M, Goh YY, Carmona M, Tartof SY, Farned J, Hallum T, Lund AJ, Preas C, Messenger S, Kramer V, Danforth M, Sheridan C. 2024. Notes from the field: first locally acquired dengue virus infections - Pasadena, California, October-December 2023. MMWR Morb Mortal Wkly Rep 73:955–956. doi: 10.15585/mmw.mm7342a4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191. Ginsburg S, May-Smith E, Smith E, Freeman C. 2025. The eyes cannot see what the mind does not know: autochthonous dengue in South Florida. J Am Coll Emerg Physicians Open 6:100003. doi: 10.1016/j.acepjo.2024.100003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 192. Ni H, Cai X, Ren J, Dai T, Zhou J, Lin J, Wang L, Wang L, Pei S, Yao Y, Xu T, Xiao L, Liu Q, Liu X, Guo P. 2024. Epidemiological characteristics and transmission dynamics of dengue fever in China. Nat Commun 15:8060. doi: 10.1038/s41467-024-52460-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193. Bijukchhe SM, Hill M, Adhikari B, Shrestha A, Shrestha S. 2023. Nepal’s worst dengue outbreak is a wake-up call for action. J Travel Med 30:taad112. doi: 10.1093/jtm/taad112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194. Duvignaud A, Stoney RJ, Angelo KM, Chen LH, Cattaneo P, Motta L, Gobbi FG, Bottieau E, Bourque DL, Popescu CP, et al. 2024. Epidemiology of travel-associated dengue from 2007 to 2022: a GeoSentinel analysis. J Travel Med 31:taae089. doi: 10.1093/jtm/taae089 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195. Huits R, Soentjens P, Maniewski-Kelner U, Theunissen C, Van Den Broucke S, Florence E, Clerinx J, Vlieghe E, Jacobs J, Cnops L, Van Den Bossche D, Van Esbroeck M, Bottieau E. 2017. Clinical utility of the nonstructural 1 antigen rapid diagnostic test in the management of dengue in returning travelers with fever. Open Forum Infect Dis 4:ofw273. doi: 10.1093/ofid/ofw273 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196. Huits R, Schwartz E. 2021. Fatal outcomes of imported dengue fever in adult travelers from non-endemic areas are associated with primary infections. J Travel Med 28:taab020. doi: 10.1093/jtm/taab020 [DOI] [PubMed] [Google Scholar]
- 197. Ooi EE. 2015. The re-emergence of dengue in China. BMC Med 13:99. doi: 10.1186/s12916-015-0345-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198. Tai AY, McGuinness SL, Robosa R, Turner D, Huang GKL, Leder K, Korman TM, Thevarajan I, Stewardson AJ, Padiglione AA, Johnson DF. 2017. Management of dengue in Australian travellers: a retrospective multicentre analysis. Med J Aust 206:295–300. doi: 10.5694/mja16.01056 [DOI] [PubMed] [Google Scholar]
- 199. Goh KT. 1997. Dengue--a re-emerging infectious disease in Singapore. Ann Acad Med Singap 26:664–670. [PubMed] [Google Scholar]
- 200. Ang LW, Cutter J, James L, Goh KT. 2015. Seroepidemiology of dengue virus infection in the adult population in tropical Singapore. Epidemiol Infect 143:1585–1593. doi: 10.1017/S0950268814002507 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201. Ang LW, Cutter J, James L, Goh KT. 2015. Seroprevalence of past dengue virus infection among children and adolescents in Singapore. J Med Virol 87:2159–2162. doi: 10.1002/jmv.24287 [DOI] [PubMed] [Google Scholar]
- 202. Yew YW, Ye T, Ang LW, Ng LC, Yap G, James L, Chew SK, Goh KT. 2009. Seroepidemiology of dengue virus infection among adults in Singapore. Ann Acad Med Singap 38:667–675. [PubMed] [Google Scholar]
- 203. Low JGH, Ooi EE. 2013. Dengue--old disease, new challenges in an ageing population. Ann Acad Med Singap 42:373–375. doi: 10.47102/annals-acadmedsg.V42n8p373 [DOI] [PubMed] [Google Scholar]
- 204. Guzmán MG, Kouri GP, Bravo J, Soler M, Vazquez S, Morier L. 1990. Dengue hemorrhagic fever in Cuba, 1981: a retrospective seroepidemiologic study. Am J Trop Med Hyg 42:179–184. doi: 10.4269/ajtmh.1990.42.179 [DOI] [PubMed] [Google Scholar]
- 205. Guzmán MG, Kourí G, Valdés L, Bravo J, Vázquez S, Halstead SB. 2002. Enhanced severity of secondary dengue-2 infections: death rates in 1981 and 1997 Cuban outbreaks. Rev Panam Salud Publica 11:223–227. doi: 10.1590/s1020-49892002000400003 [DOI] [PubMed] [Google Scholar]
- 206. Brook CE, Rozins C, Bohl JA, Ahyong V, Chea S, Fahsbender L, Huy R, Lay S, Leang R, Li Y, Lon C, Man S, Oum M, Northrup GR, Oliveira F, Pacheco AR, Parker DM, Young K, Boots M, Tato CM, DeRisi JL, Yek C, Manning JE. 2024. Climate, demography, immunology, and virology combine to drive two decades of dengue virus dynamics in Cambodia. Proc Natl Acad Sci USA 121:e2318704121. doi: 10.1073/pnas.2318704121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207. Mittelbrunn M, Kroemer G. 2021. Hallmarks of T cell aging. Nat Immunol 22:687–698. doi: 10.1038/s41590-021-00927-z [DOI] [PubMed] [Google Scholar]
- 208. Nikolich-Žugich J. 2018. The twilight of immunity: emerging concepts in aging of the immune system. Nat Immunol 19:10–19. doi: 10.1038/s41590-017-0006-x [DOI] [PubMed] [Google Scholar]
- 209. Peters MJ, Joehanes R, Pilling LC, Schurmann C, Conneely KN, Powell J, Reinmaa E, Sutphin GL, Zhernakova A, Schramm K, et al. 2015. The transcriptional landscape of age in human peripheral blood. Nat Commun 6. doi: 10.1038/ncomms9570 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210. Hsieh TH, Tsai TT, Chen CL, Shen TJ, Jhan MK, Tseng PC, Lin CF. 2020. Senescence in monocytes facilitates dengue virus infection by increasing infectivity. Front Cell Infect Microbiol 10:375. doi: 10.3389/fcimb.2020.00375 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211. Moxon C, Wills B. 2008. Management of severe dengue in children. Adv Exp Med Biol 609:131–144. doi: 10.1007/978-0-387-73960-1_10 [DOI] [PubMed] [Google Scholar]
- 212. Gamble J, Bethell D, Day NP, Loc PP, Phu NH, Gartside IB, Farrar JF, White NJ. 2000. Age-related changes in microvascular permeability: a significant factor in the susceptibility of children to shock? Clin Sci (Lond) 98:211–216. doi: 10.1042/cs0980211 [DOI] [PubMed] [Google Scholar]
- 213. Kaagaard MD, Matos LO, Evangelista MVP, Wegener A, Holm AE, Vestergaard LS, Do Valle SCN, Silvestre OM, Lacerda MVG, de Souza RM, Barreto Dos Santos F, Biering-Sørensen T, Brainin P. 2023. Frequency of pleural effusion in dengue patients by severity, age and imaging modality: a systematic review and meta-analysis. BMC Infect Dis 23:327. doi: 10.1186/s12879-023-08311-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214. Namvongsa V, Sirivichayakul C, Songsithichok S, Chanthavanich P, Chokejindachai W, Sitcharungsi R. 2013. Differences in clinical features between children and adults with dengue hemorrhagic fever/dengue shock syndrome. Southeast Asian J Trop Med Public Health 44:772–779. [PubMed] [Google Scholar]
- 215. Hammond SN, Balmaseda A, Pérez L, Tellez Y, Saborío SI, Mercado JC, Videa E, Rodriguez Y, Pérez MA, Cuadra R, Solano S, Rocha J, Idiaquez W, Gonzalez A, Harris E. 2005. Differences in dengue severity in infants, children, and adults in a 3-year hospital-based study in Nicaragua. Am J Trop Med Hyg 73:1063–1070. doi: 10.4269/ajtmh.2005.73.1063 [DOI] [PubMed] [Google Scholar]
- 216. Trung DT, Thao LTT, Dung NM, Ngoc TV, Hien TT, Chau NVV, Wolbers M, Tam DTH, Farrar J, Simmons C, Wills B. 2012. Clinical features of dengue in a large Vietnamese cohort: intrinsically lower platelet counts and greater risk for bleeding in adults than children. PLoS Negl Trop Dis 6:e1679. doi: 10.1371/journal.pntd.0001679 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217. Huang N, Shen YJ, Chou YJ, Tsai TF, Lien CE. 2023. Advanced age and increased risk for severe outcomes of dengue infection, Taiwan, 2014–2015. Emerg Infect Dis 29. doi: 10.3201/eid2908.230014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 218. Liu LT, Huang SY, Lin CH, Chen CH, Tsai CY, Lin PC, Tsai JJ. 2025. The epidemiology and identification of risk factors associated with severe dengue during the 2023 dengue outbreak in Kaohsiung City, Taiwan. Travel Med Infect Dis 65:102852. doi: 10.1016/j.tmaid.2025.102852 [DOI] [PubMed] [Google Scholar]
- 219. Jeng MJ, Lee NY, Lee IK, Chen YC, Huang WC, Hsu JC, Tai CH, Lan HM. 2025. Prognosis and mortality risk in elderly patients with dengue virus infection: excess fatality and the urgent need for revising current WHO criteria for elderly patients. Travel Med Infect Dis 65:102855. doi: 10.1016/j.tmaid.2025.102855 [DOI] [PubMed] [Google Scholar]
- 220. Pulock OS, Mannan A, Chowdhury AFMN, Tousif G, Majumder K, Monsur S, Mehedi HMH, Kaiser E, Sultana A, Sagar MAH, Etu SN, Alam N, Mazid AHMT, Sattar MA. 2025. Clinical spectrum and risk factors of severe dengue infection: findings from the 2023 dengue outbreak in Bangladesh. BMC Infect Dis 25:469. doi: 10.1186/s12879-025-10792-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221. Annan E, Treviño J, Zhao B, Rodriguez-Morales AJ, Haque U. 2023. Direct and indirect effects of age on dengue severity: the mediating role of secondary infection. PLoS Negl Trop Dis 17:e0011537. doi: 10.1371/journal.pntd.0011537 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222. Byrne AB, Gutierrez GF, Bruno A, Córdoba MT, Bono MM, Polack FP, Talarico LB, Quipildor MO. 2018. Age-associated differences in clinical manifestations and laboratory parameters during a dengue virus type 4 outbreak in Argentina. J Med Virol 90:197–203. doi: 10.1002/jmv.24952 [DOI] [PubMed] [Google Scholar]
- 223. Wang CC, Lee IK, Su MC, Lin HI, Huang YC, Liu SF, Wu CC, Lin MC. 2009. Differences in clinical and laboratory characteristics and disease severity between children and adults with dengue virus infection in Taiwan, 2002. Trans R Soc Trop Med Hyg 103:871–877. doi: 10.1016/j.trstmh.2009.04.024 [DOI] [PubMed] [Google Scholar]
- 224. Kittigul L, Pitakarnjanakul P, Sujirarat D, Siripanichgon K. 2007. The differences of clinical manifestations and laboratory findings in children and adults with dengue virus infection. J Clin Virol 39:76–81. doi: 10.1016/j.jcv.2007.04.006 [DOI] [PubMed] [Google Scholar]
- 225. Martínez Vega R, Phumratanaprapin W, Phonrat B, Dhitavat J, Sutherat M, Choovichian V. 2016. Differences in liver impairment between adults and children with dengue infection. Am J Trop Med Hyg 94:1073–1079. doi: 10.4269/ajtmh.15-0507 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226. Rosenberger KD, Alexander N, Martinez E, Lum LCS, Dempfle CE, Junghanss T, Wills B, Jaenisch T, Group DCS. 2020. Severe dengue categories as research endpoints-Results from a prospective observational study in hospitalised dengue patients. PLoS Negl Trop Dis 14:e0008076. doi: 10.1371/journal.pntd.0008076 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227. Low JGH, Ong A, Tan LK, Chaterji S, Chow A, Lim WY, Lee KW, Chua R, Chua CR, Tan SWS, Cheung YB, Hibberd ML, Vasudevan SG, Ng L-C, Leo YS, Ooi EE. 2011. The early clinical features of dengue in adults: challenges for early clinical diagnosis. PLoS Negl Trop Dis 5:e1191. doi: 10.1371/journal.pntd.0001191 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228. Farias LABG, Costa LB, Bessa PP de N, Alcântara GFT de, Oliveira JL de, Silva T do N, Morais G de FL, Perdigão Neto LV, Cavalcanti LPG. 2024. Dengue mimickers: which clinical conditions can resemble dengue fever? Rev Soc Bras Med Trop 57. doi: 10.1590/0037-8682-0334-2024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229. Dung NM, Day NP, Tam DT, Loan HT, Chau HT, Minh LN, Diet TV, Bethell DB, Kneen R, Hien TT, White NJ, Farrar JJ. 1999. Fluid replacement in dengue shock syndrome: a randomized, double-blind comparison of four intravenous-fluid regimens. Clin Infect Dis 29:787–794. doi: 10.1086/520435 [DOI] [PubMed] [Google Scholar]
- 230. Ngo NT, Cao XT, Kneen R, Wills B, Nguyen VM, Nguyen TQ, Chu VT, Nguyen TT, Simpson JA, Solomon T, White NJ, Farrar J. 2001. Acute management of dengue shock syndrome: a randomized double-blind comparison of 4 intravenous fluid regimens in the first hour. Clin Infect Dis 32:204–213. doi: 10.1086/318479 [DOI] [PubMed] [Google Scholar]
- 231. Wills BA, Nguyen MD, Ha TL, Dong THT, Tran TNT, Le TTM, Tran VD, Nguyen TH, Nguyen VC, Stepniewska K, White NJ, Farrar JJ. 2005. Comparison of three fluid solutions for resuscitation in dengue shock syndrome. N Engl J Med 353:877–889. doi: 10.1056/NEJMoa044057 [DOI] [PubMed] [Google Scholar]
- 232. Upadhyay M, Singhi S, Murlidharan J, Kaur N, Majumdar S. 2005. Randomized evaluation of fluid resuscitation with crystalloid (saline) and colloid (polymer from degraded gelatin in saline) in pediatric septic shock. Indian Pediatr 42:223–231. [PubMed] [Google Scholar]
- 233. Somasetia DH, Setiati TE, Sjahrodji AM, Idjradinata PS, Setiabudi D, Roth H, Ichai C, Fontaine E, Leverve XM. 2014. Early resuscitation of dengue shock syndrome in children with hyperosmolar sodium-lactate: a randomized single-blind clinical trial of efficacy and safety. Crit Care 18:466. doi: 10.1186/s13054-014-0466-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 234. Mercado-Hernandez R, Myers R, Bustos Carillo FA, Zambrana JV, López B, Sanchez N, Gordon A, Balmaseda A, Kuan G, Harris E. 2024. Obesity is associated with increased pediatric dengue virus infection and disease: A 9-year cohort study in Managua, Nicaragua. Clin Infect Dis 79:1102–1108. doi: 10.1093/cid/ciae360 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235. Sangkaew S, Ming D, Boonyasiri A, Honeyford K, Kalayanarooj S, Yacoub S, Dorigatti I, Holmes A. 2021. Risk predictors of progression to severe disease during the febrile phase of dengue: a systematic review and meta-analysis. Lancet Infect Dis 21:1014–1026. doi: 10.1016/S1473-3099(20)30601-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236. Vidanapathirana M. 2024. Dengue haemorrhagic fever in chronic kidney disease and heart failure: challenges in fluid management. Trop Med Health 52:33. doi: 10.1186/s41182-024-00600-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237. Sharma A, Charles K, Chadee D, Teelucksingh S. 2012. Dengue hemorrhagic fever in Trinidad and Tobago: a case for a conservative approach to platelet transfusion. Am J Trop Med Hyg 86:531–535. doi: 10.4269/ajtmh.2012.10-0209 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238. Lee T-H, Wong JGX, Leo Y-S, Thein T-L, Ng E-L, Lee LK, Lye DC. 2016. Potential harm of prophylactic platelet transfusion in adult dengue patients. PLoS Negl Trop Dis 10:e0004576. doi: 10.1371/journal.pntd.0004576 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239. Lye DC, Archuleta S, Syed-Omar SF, Low JG, Oh HM, Wei Y, Fisher D, Ponnampalavanar SSL, Wijaya L, Lee LK, Ooi EE, Kamarulzaman A, Lum LC, Tambyah PA, Leo YS. 2017. Prophylactic platelet transfusion plus supportive care versus supportive care alone in adults with dengue and thrombocytopenia: a multicentre, open-label, randomised, superiority trial. Lancet 389:1611–1618. doi: 10.1016/S0140-6736(17)30269-6 [DOI] [PubMed] [Google Scholar]
- 240. Huang WC, Lee IK, Chen YC, Tsai CY, Liu JW. 2018. Characteristics and predictors for gastrointestinal hemorrhage among adult patients with dengue virus infection: emphasizing the impact of existing comorbid disease(s). PLoS One 13:e0192919. doi: 10.1371/journal.pone.0192919 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 241. Pang J, Salim A, Lee VJ, Hibberd ML, Chia KS, Leo YS, Lye DC. 2012. Diabetes with hypertension as risk factors for adult dengue hemorrhagic fever in a predominantly dengue serotype 2 epidemic: a case control study. PLoS Negl Trop Dis 6:e1641. doi: 10.1371/journal.pntd.0001641 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 242. Khan Assir MZ, Kamran U, Ahmad HI, Bashir S, Mansoor H, Anees SB, Akram J. 2013. Effectiveness of platelet transfusion in dengue fever: a randomized controlled trial. Transfus Med Hemother 40:362–368. doi: 10.1159/000354837 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243. Lim TSH, Grignani RT, Tambyah PA, Quek S-C. 2015. Impact of dengue-induced thrombocytopenia on mandatory anticoagulation for patients with prosthetic heart valves on warfarin. Singapore Med J 56:235–236. doi: 10.11622/smedj.2015066 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 244. Lum LHW, Chan M, Leo YS. 2015. Strategy in managing anticoagulation therapy following prosthetic heart valve replacement in a patient with dengue fever. Int J Cardiol 199:432–434. doi: 10.1016/j.ijcard.2015.07.098 [DOI] [PubMed] [Google Scholar]
- 245. Chia PY, Htun HL, Leo YS, Lye DC. 2021. Safety of temporary interruption of antiplatelet therapy in dengue fever with thrombocytopenia. J Infect 82:270–275. doi: 10.1016/j.jinf.2020.10.038 [DOI] [PubMed] [Google Scholar]
- 246. Wei KC, Sy CL, Wang WH, Wu CL, Chang SH, Huang YT. 2022. Major acute cardiovascular events after dengue infection-A population-based observational study. PLoS Negl Trop Dis 16:e0010134. doi: 10.1371/journal.pntd.0010134 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 247. Li HM, Huang YK, Su YC, Kao CH. 2018. Risk of stroke in patients with dengue fever: a population-based cohort study. CMAJ 190:E285–E290. doi: 10.1503/cmaj.170994 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 248. Li H-M, Huang Y-K, Su Y-C, Kao C-H. 2018. Increased risk of autoimmune diseases in dengue patients: a population-based cohort study. J Infect 77:212–219. doi: 10.1016/j.jinf.2018.03.014 [DOI] [PubMed] [Google Scholar]
- 249. Chang S-H, Chang R, Su C-S, Wei JC-C, Yip H-T, Yang Y-C, Li K-Y, Hung Y-M. 2021. Incidence of dementia after dengue fever: results of a longitudinal population-based study. Int J Clin Pract 75:e14318. doi: 10.1111/ijcp.14318 [DOI] [PubMed] [Google Scholar]
- 250. Chien YW, Shih HI, Wang YP, Chi CY. 2023. Re-examination of the risk of dementia after dengue virus infection: a population-based cohort study. PLoS Negl Trop Dis 17:e0011788. doi: 10.1371/journal.pntd.0011788 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 251. Chu CS, Tsai SJ, Cheng CM, Su TP, Chen TJ, Bai YM, Liang CS, Chen MH. 2021. Dengue and dementia risk: a nationwide longitudinal study. J Infect 83:601–606. doi: 10.1016/j.jinf.2021.08.037 [DOI] [PubMed] [Google Scholar]
- 252. Wee LE, Lim JT, Tan JYJ, Malek M, Chiew C, Ng LC, Chia PY, Leo YS, Lye DCB, Tan KB. 2024. Dengue versus COVID-19: comparing the incidence of cardiovascular, neuropsychiatric and autoimmune complications. J Travel Med 31:taae081. doi: 10.1093/jtm/taae081 [DOI] [PubMed] [Google Scholar]
- 253. Kalimuddin S, Teh YE, Wee LE, Paintal S, Sasisekharan R, Low JG, Sheth SK, Ooi EE. 2022. Chronic sequelae complicate convalescence from both dengue and acute viral respiratory illness. PLoS Negl Trop Dis 16:e0010724. doi: 10.1371/journal.pntd.0010724 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 254. Sim JXY, Gan ES, Tan HC, Choy MM, Wong HM, Tan BH, Kee T, Ho QY, Thangaraju S, Lin RTP, Ooi EE, Low JG-H. 2021. Aviremic organ transplant dengue virus transmission - A case report. Am J Transplant 21:1944–1947. doi: 10.1111/ajt.16540 [DOI] [PubMed] [Google Scholar]
- 255. Vélez Jaramillo Y, Reveiz Montes MA, Galván-Barrios JP, Picón-Jaimes YA. 2025. Maternal and foetal outcomes in women with gestational dengue: a systematic review. Infez Med 33:15–28. doi: 10.53854/liim-3301-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 256. Paixão ES, Campbell OM, Teixeira MG, Costa MC, Harron K, Barreto ML, Leal MB, Almeida MF, Rodrigues LC. 2019. Dengue during pregnancy and live birth outcomes: a cohort of linked data from Brazil. BMJ Open 9:e023529. doi: 10.1136/bmjopen-2018-023529 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 257. Nujum ZT, Nirmala C, Vijayakumar K, Saboora Beegum M, Jyothi R. 2019. Incidence and outcomes of dengue in a cohort of pregnant women from an endemic region of India: obesity could be a potential risk for adverse outcomes. Trans R Soc Trop Med Hyg 113:242–251. doi: 10.1093/trstmh/trz003 [DOI] [PubMed] [Google Scholar]
- 258. Gupta A, Jain P, Venkatesh V, Agarwal A, Reddy DH, Jain A. 2021. Prevalence of dengue, chikungunya, and zika viruses in febrile pregnant women: an observational study at a tertiary care hospital in North India. Am J Trop Med Hyg 106:168–173. doi: 10.4269/ajtmh.21-0584 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 259. Sauceda-Acosta D, Almendares SPP, Cárcamo E, Zúniga-Gutiérrez M, Beltrán B, Rivera MF, Rodríguez MM, Enamorado J. 2025. Risk factors for dengue mortality: a 7-year retrospective cohort in Honduras. BMC Infect Dis 25:147. doi: 10.1186/s12879-025-10544-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 260. Smith A, Bayrau BA, Ichura C, Altamirano J, King C, Malhotra I, Mungai P, Mutuku F, Mukoko D, LaBeaud AD. 2025. Exposure to dengue virus during pregnancy: incidence and impact on maternal and child outcomes. Am J Trop Med Hyg 112:396–402. doi: 10.4269/ajtmh.24-0387 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 261. Torrentes-Carvalho A, Hottz ED, Marinho CF, da Silva JB-C, Pinto LM de O, Fialho LG, Bozza FA, Cunha RV, Damasco PV, Kubelka CF, de Azeredo EL. 2016. Characterization of clinical and immunological features in patients coinfected with dengue virus and HIV. Clin Immunol 164:95–105. doi: 10.1016/j.clim.2016.01.005 [DOI] [PubMed] [Google Scholar]
- 262. Hottz ED, Quirino-Teixeira AC, Valls-de-Souza R, Zimmerman GA, Bozza FA, Bozza PT. 2019. Platelet function in HIV plus dengue coinfection associates with reduced inflammation and milder dengue illness. Sci Rep 9:7096. doi: 10.1038/s41598-019-43275-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 263. Sohail A, Zhong S, Nguyen PY, McGuinness SL, Leder K. 2024. Dengue fever in immunocompromised patients: a systematic review and meta-analysis. Int J Infect Dis 149:107272. doi: 10.1016/j.ijid.2024.107272 [DOI] [PubMed] [Google Scholar]
- 264. Cedano JA, Mora BL, Parra-Lara LG, Manzano-Nuñez R, Rosso F. 2019. A scoping review of transmission of dengue virus from donors to recipients after solid organ transplantation. Trans R Soc Trop Med Hyg 113:431–436. doi: 10.1093/trstmh/trz024 [DOI] [PubMed] [Google Scholar]
- 265. Weerakkody RM, Patrick JA, Sheriff MHR. 2017. Dengue fever in renal transplant patients: a systematic review of literature. BMC Nephrol 18:15. doi: 10.1186/s12882-016-0428-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 266. Ng KH, Zhang SL, Tan HC, Kwek SS, Sessions OM, Chan CY, Liu ID, Lee CK, Tambyah PA, Ooi EE, Yap HK. 2019. Persistent dengue infection in an immunosuppressed patient reveals the roles of humoral and cellular immune responses in virus clearance. Cell Host Microbe 26:601–605. doi: 10.1016/j.chom.2019.10.005 [DOI] [PubMed] [Google Scholar]
- 267. de Souza Pereira BB, Darrigo Junior LG, de Mello Costa TC, Felix AC, Simoes BP, Stracieri AB, da Silva PM, Mauad M, Machado CM. 2017. Prolonged viremia in dengue virus infection in hematopoietic stem cell transplant recipients and patients with hematological malignancies. Transpl Infect Dis 19. doi: 10.1111/tid.12721 [DOI] [PubMed] [Google Scholar]
- 268. Gupta RK, Gupta G, Chorasiya VK, Bag P, Shandil R, Bhatia V, Wadhawan M, Vij V, Kumar A. 2016. Dengue virus transmission from living donor to recipient in liver transplantation: a case report. J Clin Exp Hepatol 6:59–61. doi: 10.1016/j.jceh.2016.01.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 269. Tan FL-S, Loh DLSK, Prabhakaran K, Tambyah PA, Yap H-K. 2005. Dengue haemorrhagic fever after living donor renal transplantation. Nephrol Dial Transplant 20:447–448. doi: 10.1093/ndt/gfh601 [DOI] [PubMed] [Google Scholar]
- 270. Tan SSX, Ho QY, Thangaraju S, Tan TT, Kee T, Chung SJ. 2024. Dengue virus infection among renal transplant recipients in Singapore: a 15-year, single-centre retrospective review. Singapore Med J 65:235–241. doi: 10.11622/smedj.2021167 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 271. Yadav A, Rastogi N, Upasana K, Arora S, Thakkar D, Yadav SP. 2021. Dengue virus transmission from donor to recipient during haploidentical stem cell transplantation. IDCases 25:e01220. doi: 10.1016/j.idcr.2021.e01220 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 272. Palanichamy Kala M, St John AL, Rathore APS. 2023. Dengue: update on clinically relevant therapeutic strategies and vaccines. Curr Treat Options Infect Dis 15:27–52. doi: 10.1007/s40506-023-00263-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 273. Singla M, Kar M, Sethi T, Kabra SK, Lodha R, Chandele A, Medigeshi GR. 2016. Immune response to dengue virus infection in pediatric patients in New Delhi, India--association of viremia, inflammatory mediators and monocytes with disease severity. PLoS Negl Trop Dis 10:e0004497. doi: 10.1371/journal.pntd.0004497 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 274. Vaughn DW, Green S, Kalayanarooj S, Innis BL, Nimmannitya S, Suntayakorn S, Endy TP, Raengsakulrach B, Rothman AL, Ennis FA, Nisalak A. 2000. Dengue viremia titer, antibody response pattern, and virus serotype correlate with disease severity. J Infect Dis 181:2–9. doi: 10.1086/315215 [DOI] [PubMed] [Google Scholar]
- 275. Simmons CP, Wolbers M, Nguyen MN, Whitehorn J, Shi PY, Young P, Petric R, Nguyen VVC, Farrar J, Wills B. 2012. Therapeutics for dengue: recommendations for design and conduct of early-phase clinical trials. PLoS Negl Trop Dis 6:e1752. doi: 10.1371/journal.pntd.0001752 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 276. Whitehorn J, Yacoub S, Anders KL, Macareo LR, Cassetti MC, Nguyen Van VC, Shi PY, Wills B, Simmons CP. 2014. Dengue therapeutics, chemoprophylaxis, and allied tools: state of the art and future directions. PLoS Negl Trop Dis 8:e3025. doi: 10.1371/journal.pntd.0003025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 277. Low JGH, Ooi EE, Vasudevan SG. 2017. Current status of dengue therapeutics research and development. J Infect Dis 215:S96–S102. doi: 10.1093/infdis/jiw423 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 278. Chaterji S, Allen JC, Chow A, Leo YS, Ooi EE. 2011. Evaluation of the NS1 rapid test and the WHO dengue classification schemes for use as bedside diagnosis of acute dengue fever in adults. Am J Trop Med Hyg 84:224–228. doi: 10.4269/ajtmh.2011.10-0316 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 279. Raafat N, Blacksell SD, Maude RJ. 2019. A review of dengue diagnostics and implications for surveillance and control. Trans R Soc Trop Med Hyg 113:653–660. doi: 10.1093/trstmh/trz068 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 280. Lim SP. 2019. Dengue drug discovery: progress, challenges and outlook. Antiviral Res 163:156–178. doi: 10.1016/j.antiviral.2018.12.016 [DOI] [PubMed] [Google Scholar]
- 281. Yin Z, Chen Y-L, Schul W, Wang Q-Y, Gu F, Duraiswamy J, Kondreddi RR, Niyomrattanakit P, Lakshminarayana SB, Goh A, et al. 2009. An adenosine nucleoside inhibitor of dengue virus. Proc Natl Acad Sci USA 106:20435–20439. doi: 10.1073/pnas.0907010106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 282. Nguyen NM, Tran CNB, Phung LK, Duong KTH, Huynh H le A, Farrar J, Nguyen QTH, Tran HT, Nguyen CVV, Merson L, Hoang LT, Hibberd ML, Aw PPK, Wilm A, Nagarajan N, Nguyen DT, Pham MP, Nguyen TT, Javanbakht H, Klumpp K, Hammond J, Petric R, Wolbers M, Nguyen CT, Simmons CP. 2013. A randomized, double-blind placebo controlled trial of balapiravir, a polymerase inhibitor, in adult dengue patients. J Infect Dis 207:1442–1450. doi: 10.1093/infdis/jis470 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 283. Chen YL, Abdul Ghafar N, Karuna R, Fu Y, Lim SP, Schul W, Gu F, Herve M, Yokohama F, Wang G, Cerny D, Fink K, Blasco F, Shi PY. 2014. Activation of peripheral blood mononuclear cells by dengue virus infection depotentiates balapiravir. J Virol 88:1740–1747. doi: 10.1128/JVI.02841-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 284. Atea Pharmaceuticals . 2023. Fourth quarter and full year 2022 financial results and business update. Available from: https://ir.ateapharma.com/static-files/db1caa3b-5c48-4de0-a621-5011c0e496d2
- 285. Kaptein SJF, Goethals O, Kiemel D, Marchand A, Kesteleyn B, Bonfanti J-F, Bardiot D, Stoops B, Jonckers THM, Dallmeier K, Geluykens P, Thys K, Crabbe M, Chatel-Chaix L, Münster M, Querat G, Touret F, de Lamballerie X, Raboisson P, Simmen K, Chaltin P, Bartenschlager R, Van Loock M, Neyts J. 2021. A pan-serotype dengue virus inhibitor targeting the NS3–NS4B interaction. Nature 598:504–509. doi: 10.1038/s41586-021-03990-6 [DOI] [PubMed] [Google Scholar]
- 286. Goethals O, Kaptein SJF, Kesteleyn B, Bonfanti J-F, Van Wesenbeeck L, Bardiot D, Verschoor EJ, Verstrepen BE, Fagrouch Z, Putnak JR, et al. 2023. Blocking NS3–NS4B interaction inhibits dengue virus in non-human primates. Nature 615:678–686. doi: 10.1038/s41586-023-05790-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 287. Moquin SA, Simon O, Karuna R, Lakshminarayana SB, Yokokawa F, Wang F, Saravanan C, Zhang J, Day CW, Chan K, et al. 2021. NITD-688, a pan-serotype inhibitor of the dengue virus NS4B protein, shows favorable pharmacokinetics and efficacy in preclinical animal models. Sci Transl Med 13:eabb2181. doi: 10.1126/scitranslmed.abb2181 [DOI] [PubMed] [Google Scholar]
- 288. Johnson & Johnson . 2024. Johnson & Johnson to discontinue phase 2 field study evaluating investigational antiviral for the prevention of dengue. Available from: https://www.jnj.com/media-center/press-releases/johnson-johnson-to-discontinue-phase-2-field-study-evaluating-investigational-antiviral-for-the-prevention-of-dengue
- 289. Robinson LN, Tharakaraman K, Rowley KJ, Costa VV, Chan KR, Wong YH, Ong LC, Tan HC, Koch T, Cain D, Kirloskar R, Viswanathan K, Liew CW, Tissire H, Ramakrishnan B, Myette JR, Babcock GJ, Sasisekharan V, Alonso S, Chen J, Lescar J, Shriver Z, Ooi EE, Sasisekharan R. 2015. Structure-guided design of an anti-dengue antibody directed to a non-immunodominant epitope. Cell 162:493–504. doi: 10.1016/j.cell.2015.06.057 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 290. Ong EZ, Budigi Y, Tan HC, Robinson LN, Rowley KJ, Winnett A, Hobbie S, Shriver Z, Babcock GJ, Ooi EE. 2017. Preclinical evaluation of VIS513, a therapeutic antibody against dengue virus, in non-human primates. Antiviral Res 144:44–47. doi: 10.1016/j.antiviral.2017.05.007 [DOI] [PubMed] [Google Scholar]
- 291. Gunale B, Farinola N, Kamat CD, Poonawalla CS, Pisal SS, Dhere RM, Miller C, Kulkarni PS. 2024. An observer-blind, randomised, placebo-controlled, phase 1, single ascending dose study of dengue monoclonal antibody in healthy adults in Australia. Lancet Infect Dis 24:639–649. doi: 10.1016/S1473-3099(24)00030-6 [DOI] [PubMed] [Google Scholar]
- 292. Ooi EE, Chan YF. 2024. Is a therapeutic dengue monoclonal antibody on the way? Lancet Infect Dis 24:567–568. doi: 10.1016/S1473-3099(24)00083-5 [DOI] [PubMed] [Google Scholar]
- 293. Bhatt P, Varma M, Sood V, Ambikan A, Jayaram A, Babu N, Gupta S, Mukhopadhyay C, Neogi U. 2024. Temporal cytokine storm dynamics in dengue infection predicts severity. Virus Res 341:199306. doi: 10.1016/j.virusres.2023.199306 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 294. Malavige GN, Ogg GS. 2017. Pathogenesis of vascular leak in dengue virus infection. Immunology 151:261–269. doi: 10.1111/imm.12748 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 295. Yacoub S, Wills B. 2014. Predicting outcome from dengue. BMC Med 12:147. doi: 10.1186/s12916-014-0147-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 296. Butthep P, Chunhakan S, Yoksan S, Tangnararatchakit K, Chuansumrit A. 2012. Alteration of cytokines and chemokines during febrile episodes associated with endothelial cell damage and plasma leakage in dengue hemorrhagic fever. Pediatr Infect Dis J 31:e232–e238. doi: 10.1097/INF.0b013e31826fd456 [DOI] [PubMed] [Google Scholar]
- 297. McBride A, Duyen HTL, Vuong NL, Tho PV, Tai LTH, Phong NT, Ngoc NT, Yen LM, Nhat PTH, Vi TT, Llewelyn MJ, Thwaites L, Hao NV, Yacoub S. 2024. Endothelial and inflammatory pathophysiology in dengue shock: new insights from a prospective cohort study in Vietnam. PLoS Negl Trop Dis 18:e0012071. doi: 10.1371/journal.pntd.0012071 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 298. Dinarello CA. 2002. The IL-1 family and inflammatory diseases. Clin Exp Rheumatol 20:S1–13. [PubMed] [Google Scholar]
- 299. van de Weg CAM, Huits RMHG, Pannuti CS, Brouns RM, van den Berg RWA, van den Ham H-J, Martina BEE, Osterhaus ADME, Netea MG, Meijers JCM, van Gorp ECM, Kallas EG. 2014. Hyperferritinaemia in dengue virus infected patients is associated with immune activation and coagulation disturbances. PLoS Negl Trop Dis 8:e3214. doi: 10.1371/journal.pntd.0003214 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 300. Slaats J, Ten Oever J, van de Veerdonk FL, Netea MG. 2016. IL-1β/IL-6/CRP and IL-18/ferritin: distinct inflammatory programs in infections. PLoS Pathog 12:e1005973. doi: 10.1371/journal.ppat.1005973 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 301. Soundravally R, Agieshkumar B, Daisy M, Sherin J, Cleetus CC. 2015. Ferritin levels predict severe dengue. Infection 43:13–19. doi: 10.1007/s15010-014-0683-4 [DOI] [PubMed] [Google Scholar]
- 302. Cavalli G, Larcher A, Tomelleri A, Campochiaro C, Della-Torre E, De Luca G, Farina N, Boffini N, Ruggeri A, Poli A, Scarpellini P, Rovere-Querini P, Tresoldi M, Salonia A, Montorsi F, Landoni G, Castagna A, Ciceri F, Zangrillo A, Dagna L. 2021. Interleukin-1 and interleukin-6 inhibition compared with standard management in patients with COVID-19 and hyperinflammation: a cohort study. Lancet Rheumatol 3:e253–e261. doi: 10.1016/S2665-9913(21)00012-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 303. Kyriakoulis KG, Kollias A, Poulakou G, Kyriakoulis IG, Trontzas IP, Charpidou A, Syrigos K. 2021. The effect of anakinra in hospitalized patients with COVID-19: an updated systematic review and meta-analysis. J Clin Med 10:4462. doi: 10.3390/jcm10194462 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 304. Rich C, Eriksson D, Dolfi F, Jablonska K, Dabbous F, Nazir J. 2022. Patients diagnosed with COVID-19 and treated with anakinra: a real-world study in the USA. Clin Exp Immunol 207:218–226. doi: 10.1093/cei/uxab024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 305. Suharti C, van Gorp ECM, Dolmans WMV, Setiati TE, Hack CE, Djokomoeljanto R, van der Meer JWM. 2003. Cytokine patterns during dengue shock syndrome. Eur Cytokine Netw 14:172–177. [PubMed] [Google Scholar]
- 306. Vachher H, Metgud T, Srikanth B. 2023. IL-6 levels in prediction of severity of dengue fever. Indian J Pediatr 90:518. doi: 10.1007/s12098-023-04514-y [DOI] [PubMed] [Google Scholar]
- 307. Masood KI, Jamil B, Rahim M, Islam M, Farhan M, Hasan Z. 2018. Role of TNF α, IL-6 and CXCL10 in Dengue disease severity. Iran J Microbiol 10:202–207. [PMC free article] [PubMed] [Google Scholar]
- 308. Scott LJ. 2017. Tocilizumab: a review in rheumatoid arthritis. Drugs (Abingdon Engl) 77:1865–1879. doi: 10.1007/s40265-017-0829-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 309. Sheppard M, Laskou F, Stapleton PP, Hadavi S, Dasgupta B. 2017. Tocilizumab (Actemra). Hum Vaccin Immunother 13:1972–1988. doi: 10.1080/21645515.2017.1316909 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 310. Tay SH, Toh MMX, Thian YL, Vellayappan BA, Fairhurst AM, Chan YH, Aminkeng F, Bharwani LD, Huang Y, Mak A, Wong ASC. 2022. Cytokine release syndrome in cancer patients receiving immune checkpoint inhibitors: a case series of 25 patients and review of the literature. Front Immunol 13:807050. doi: 10.3389/fimmu.2022.807050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 311. Abidi E, El Nekidy WS, Alefishat E, Rahman N, Petroianu GA, El-Lababidi R, Mallat J. 2022. Tocilizumab and COVID-19: timing of administration and efficacy. Front Pharmacol 13:825749. doi: 10.3389/fphar.2022.825749 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 312. Mariette X, Hermine O, Tharaux P-L, Resche-Rigon M, Steg PG, Porcher R, Ravaud P. 2021. Effectiveness of tocilizumab in patients hospitalized with COVID-19: a follow-up of the CORIMUNO-TOCI-1 randomized clinical trial. JAMA Intern Med 181:1241–1243. doi: 10.1001/jamainternmed.2021.2209 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 313. Waters JP, Pober JS, Bradley JR. 2013. Tumour necrosis factor in infectious disease. J Pathol 230:132–147. doi: 10.1002/path.4187 [DOI] [PubMed] [Google Scholar]
- 314. You Y, Stelzl P, Joseph DN, Aldo PB, Maxwell AJ, Dekel N, Liao A, Whirledge S, Mor G. 2021. TNF-α regulated endometrial stroma secretome promotes trophoblast invasion. Front Immunol 12:737401. doi: 10.3389/fimmu.2021.737401 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 315. Li V, Mishra H, Ngai M, Crowley VM, Tran V, Painaga MSS, Gaite JY, Hamilton P, Conroy AL, Kain KC, Hawkes MT. 2025. Soluble tumour necrosis factor receptor 1 predicts hospitalization in children and young adults with dengue virus infection in the Philippines. Cytokine 190:156911. doi: 10.1016/j.cyto.2025.156911 [DOI] [PubMed] [Google Scholar]
- 316. Branche E, Tang WW, Viramontes KM, Young MP, Sheets N, Joo Y, Nguyen A-VT, Shresta S. 2018. Synergism between the tyrosine kinase inhibitor sunitinib and Anti-TNF antibody protects against lethal dengue infection. Antiviral Res 158:1–7. doi: 10.1016/j.antiviral.2018.07.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 317. Ng JKW, Zhang SL, Tan HC, Yan B, Martinez JM, Tan WY, Lam JH, Tan GKX, Ooi EE, Alonso S. 2014. First experimental in vivo model of enhanced dengue disease severity through maternally acquired heterotypic dengue antibodies. PLoS Pathog 10:e1004031. doi: 10.1371/journal.ppat.1004031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 318. Atrasheuskaya A, Petzelbauer P, Fredeking TM, Ignatyev G. 2003. Anti-TNF antibody treatment reduces mortality in experimental dengue virus infection. FEMS Immunol Med Microbiol 35:33–42. doi: 10.1111/j.1574-695X.2003.tb00646.x [DOI] [PubMed] [Google Scholar]
- 319. Robinson PC, Liew DFL, Liew JW, Monaco C, Richards D, Shivakumar S, Tanner HL, Feldmann M. 2020. The potential for repurposing anti-TNF as a therapy for the treatment of COVID-19. Med 1:90–102. doi: 10.1016/j.medj.2020.11.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 320. Tam DTH, Ngoc TV, Tien NTH, Kieu NTT, Thuy TTT, Thanh LTC, Tam CT, Truong NT, Dung NT, Qui PT, Hien TT, Farrar JJ, Simmons CP, Wolbers M, Wills BA. 2012. Effects of short-course oral corticosteroid therapy in early dengue infection in Vietnamese patients: a randomized, placebo-controlled trial. Clin Infect Dis 55:1216–1224. doi: 10.1093/cid/cis655 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 321. Thomas BJ, Porritt RA, Hertzog PJ, Bardin PG, Tate MD. 2014. Glucocorticosteroids enhance replication of respiratory viruses: effect of adjuvant interferon. Sci Rep 4:7176. doi: 10.1038/srep07176 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 322. Zhang F, Kramer CV. 2014. Corticosteroids for dengue infection. Cochrane Database Syst Rev 2014:CD003488. doi: 10.1002/14651858.CD003488.pub3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 323. Marshall JC. 2014. Why have clinical trials in sepsis failed? Trends Mol Med 20:195–203. doi: 10.1016/j.molmed.2014.01.007 [DOI] [PubMed] [Google Scholar]
- 324. Flisiak R, Jaroszewicz J, Rogalska M, Łapiński T, Berkan-Kawińska A, Bolewska B, Tudrujek-Zdunek M, Kozielewicz D, Rorat M, Leszczyński P, Kłos K, Kowalska J, Pabjan P, Piekarska A, Mozer-Lisewska I, Tomasiewicz K, Pawłowska M, Simon K, Polanska J, Zarębska-Michaluk D. 2021. Tocilizumab improves the prognosis of COVID-19 in patients with high IL-6. J Clin Med 10:1583. doi: 10.3390/jcm10081583 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 325. Ong EZ, Chan YFZ, Leong WY, Lee NMY, Kalimuddin S, Haja Mohideen SM, Chan KS, Tan AT, Bertoletti A, Ooi EE, Low JGH. 2020. A dynamic immune response shapes COVID-19 progression. Cell Host Microbe 27:879–882. doi: 10.1016/j.chom.2020.03.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 326. Malavige GN, Jeewandara C, Ogg GS. 2020. Dysfunctional innate immune responses and severe dengue. Front Cell Infect Microbiol 10:590004. doi: 10.3389/fcimb.2020.590004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 327. Chaudhary R, Meher A, Krishnamoorthy P, Kumar H. 2023. Interplay of host and viral factors in inflammatory pathway mediated cytokine storm during RNA virus infection. Curr Res Immunol 4:100062. doi: 10.1016/j.crimmu.2023.100062 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 328. Capeding MR, Tran NH, Hadinegoro SRS, Ismail HIHM, Chotpitayasunondh T, Chua MN, Luong CQ, Rusmil K, Wirawan DN, Nallusamy R, Pitisuttithum P, Thisyakorn U, Yoon I-K, van der Vliet D, Langevin E, Laot T, Hutagalung Y, Frago C, Boaz M, Wartel TA, Tornieporth NG, Saville M, Bouckenooghe A. 2014. Clinical efficacy and safety of a novel tetravalent dengue vaccine in healthy children in Asia: a phase 3, randomised, observer-masked, placebo-controlled trial. The Lancet 384:1358–1365. doi: 10.1016/S0140-6736(14)61060-6 [DOI] [PubMed] [Google Scholar]
- 329. Villar L, Dayan GH, Arredondo-García JL, Rivera DM, Cunha R, Deseda C, Reynales H, Costa MS, Morales-Ramírez JO, Carrasquilla G, Rey LC, Dietze R, Luz K, Rivas E, Miranda Montoya MC, Cortés Supelano M, Zambrano B, Langevin E, Boaz M, Tornieporth N, Saville M, Noriega F. 2015. Efficacy of a tetravalent dengue vaccine in children in Latin America. N Engl J Med 372:113–123. doi: 10.1056/NEJMoa1411037 [DOI] [PubMed] [Google Scholar]
- 330. Sridhar S, Luedtke A, Langevin E, Zhu M, Bonaparte M, Machabert T, Savarino S, Zambrano B, Moureau A, Khromava A, Moodie Z, Westling T, Mascareñas C, Frago C, Cortés M, Chansinghakul D, Noriega F, Bouckenooghe A, Chen J, Ng S-P, Gilbert PB, Gurunathan S, DiazGranados CA. 2018. Effect of dengue serostatus on dengue vaccine safety and efficacy. N Engl J Med 379:327–340. doi: 10.1056/NEJMoa1800820 [DOI] [PubMed] [Google Scholar]
- 331. Biswal S, Reynales H, Saez-Llorens X, Lopez P, Borja-Tabora C, Kosalaraksa P, Sirivichayakul C, Watanaveeradej V, Rivera L, Espinoza F, Fernando L, Dietze R, Luz K, Venâncio da Cunha R, Jimeno J, López-Medina E, Borkowski A, Brose M, Rauscher M, LeFevre I, Bizjajeva S, Bravo L, Wallace D, TIDES Study Group . 2019. Efficacy of a tetravalent dengue vaccine in healthy children and adolescents. N Engl J Med 381:2009–2019. doi: 10.1056/NEJMoa1903869 [DOI] [PubMed] [Google Scholar]
- 332. Biswal S, Borja-Tabora C, Martinez Vargas L, Velásquez H, Theresa Alera M, Sierra V, Johana Rodriguez-Arenales E, Yu D, Wickramasinghe VP, Duarte Moreira E Jr, et al. 2020. Efficacy of a tetravalent dengue vaccine in healthy children aged 4–16 years: a randomised, placebo-controlled, phase 3 trial. The Lancet 395:1423–1433. doi: 10.1016/S0140-6736(20)30414-1 [DOI] [PubMed] [Google Scholar]
- 333. Kallás EG, Cintra MAT, Moreira JA, Patiño EG, Braga PE, Tenório JCV, Infante V, Palacios R, de Lacerda MVG, Batista Pereira D, et al. 2024. Live, attenuated, tetravalent butantan-dengue vaccine in children and adults. N Engl J Med 390:397–408. doi: 10.1056/NEJMoa2301790 [DOI] [PubMed] [Google Scholar]
- 334. Tricou V, Yu D, Reynales H, Biswal S, Saez-Llorens X, Sirivichayakul C, Lopez P, Borja-Tabora C, Bravo L, Kosalaraksa P, et al. 2024. Long-term efficacy and safety of a tetravalent dengue vaccine (TAK-003): 4·5-year results from a phase 3, randomised, double-blind, placebo-controlled trial. Lancet Glob Health 12:e257–e270. doi: 10.1016/S2214-109X(23)00522-3 [DOI] [PubMed] [Google Scholar]
- 335. Nogueira ML, Cintra MAT, Moreira JA, Patiño EG, Braga PE, Tenório JCV, de Oliveira Alves LB, Infante V, Silveira DHR, de Lacerda MVG, et al. 2024. Efficacy and safety of Butantan-DV in participants aged 2–59 years through an extended follow-up: results from a double-blind, randomised, placebo-controlled, phase 3, multicentre trial in Brazil. Lancet Infect Dis 24:1234–1244. doi: 10.1016/S1473-3099(24)00376-1 [DOI] [PubMed] [Google Scholar]
- 336. Pierce KK, Durbin AP, Walsh M-CR, Carmolli M, Sabundayo BP, Dickson DM, Diehl SA, Whitehead SS, Kirkpatrick BD. 2024. TV005 dengue vaccine protects against dengue serotypes 2 and 3 in two controlled human infection studies. J Clin Invest 134:e173328. doi: 10.1172/JCI173328 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 337. Sun W, Eckels KH, Putnak JR, Lyons AG, Thomas SJ, Vaughn DW, Gibbons RV, Fernandez S, Gunther VJ, Mammen MP, Statler JD, Innis BL. 2013. Experimental dengue virus challenge of human subjects previously vaccinated with live attenuated tetravalent dengue vaccines. J Infect Dis 207:700–708. doi: 10.1093/infdis/jis744 [DOI] [PubMed] [Google Scholar]
- 338. Lyke KE, Chua JV, Koren M, Friberg H, Gromowski GD, Rapaka RR, Waickman AT, Joshi S, Strauss K, McCracken MK, Gutierrez-Barbosa H, Shrestha B, Culbertson C, Bernal P, De La Barrera RA, Currier JR, Jarman RG, Edelman R. 2024. Efficacy and immunogenicity following dengue virus-1 human challenge after a tetravalent prime-boost dengue vaccine regimen: an open-label, phase 1 trial. Lancet Infect Dis 24:896–908. doi: 10.1016/S1473-3099(24)00100-2 [DOI] [PubMed] [Google Scholar]
- 339. Guy B, Guirakhoo F, Barban V, Higgs S, Monath TP, Lang J. 2010. Preclinical and clinical development of YFV 17D-based chimeric vaccines against dengue, West Nile and Japanese encephalitis viruses. Vaccine (Auckl) 28:632–649. doi: 10.1016/j.vaccine.2009.09.098 [DOI] [PubMed] [Google Scholar]
- 340. Larson HJ, Hartigan-Go K, de Figueiredo A. 2019. Vaccine confidence plummets in the Philippines following dengue vaccine scare: why it matters to pandemic preparedness. Hum Vaccin Immunother 15:625–627. doi: 10.1080/21645515.2018.1522468 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 341. Thomas SJ. 2023. Is new dengue vaccine efficacy data a relief or cause for concern? NPJ Vaccines 8:55. doi: 10.1038/s41541-023-00658-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 342. Durbin AP. 2020. Historical discourse on the development of the live attenuated tetravalent dengue vaccine candidate TV003/TV005. Curr Opin Virol 43:79–87. doi: 10.1016/j.coviro.2020.09.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 343. Russell KL, Rupp RE, Morales-Ramirez JO, Diaz-Perez C, Andrews CP, Lee AW, Finn TS, Cox KS, Falk Russell A, Schaller MM, Martin JC, Hyatt DM, Gozlan-Kelner S, Bili A, Coller B-AG. 2022. A phase I randomized, double-blind, placebo-controlled study to evaluate the safety, tolerability, and immunogenicity of a live-attenuated quadrivalent dengue vaccine in flavivirus-naïve and flavivirus-experienced healthy adults. Hum Vaccin Immunother 18:2046960. doi: 10.1080/21645515.2022.2046960 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 344. Plotkin SA. 2022. Recent updates on correlates of vaccine-induced protection. Front Immunol 13:1081107. doi: 10.3389/fimmu.2022.1081107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 345. Plotkin SA. 2010. Correlates of protection induced by vaccination. Clin Vaccine Immunol 17:1055–1065. doi: 10.1128/CVI.00131-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 346. Halstead SB, Casals J, Shotwell H, Palumbo N. 1973. Studies on the immunization of monkeys against dengue. I. Protection derived from single and sequential virus infections. Am J Trop Med Hyg 22:365–374. doi: 10.4269/ajtmh.1973.22.365 [DOI] [PubMed] [Google Scholar]
- 347. Halstead SB. 1979. In vivo enhancement of dengue virus infection in rhesus monkeys by passively transferred antibody. J Infect Dis 140:527–533. doi: 10.1093/infdis/140.4.527 [DOI] [PubMed] [Google Scholar]
- 348. Katzelnick LC, Montoya M, Gresh L, Balmaseda A, Harris E. 2016. Neutralizing antibody titers against dengue virus correlate with protection from symptomatic infection in a longitudinal cohort. Proc Natl Acad Sci USA 113:728–733. doi: 10.1073/pnas.1522136113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 349. Buddhari D, Aldstadt J, Endy TP, Srikiatkhachorn A, Thaisomboonsuk B, Klungthong C, Nisalak A, Khuntirat B, Jarman RG, Fernandez S, Thomas SJ, Scott TW, Rothman AL, Yoon IK. 2014. Dengue virus neutralizing antibody levels associated with protection from infection in thai cluster studies. PLoS Negl Trop Dis 8:e3230. doi: 10.1371/journal.pntd.0003230 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 350. Endy TP, Nisalak A, Chunsuttitwat S, Vaughn DW, Green S, Ennis FA, Rothman AL, Libraty DH. 2004. Relationship of preexisting dengue virus (DV) neutralizing antibody levels to viremia and severity of disease in a prospective cohort study of DV infection in Thailand. J Infect Dis 189:990–1000. doi: 10.1086/382280 [DOI] [PubMed] [Google Scholar]
- 351. Bos S, Graber AL, Cardona-Ospina JA, Duarte EM, Zambrana JV, Ruíz Salinas JA, Mercado-Hernandez R, Singh T, Katzelnick LC, de Silva A, Kuan G, Balmaseda A, Harris E. 2024. Protection against symptomatic dengue infection by neutralizing antibodies varies by infection history and infecting serotype. Nat Commun 15:382. doi: 10.1038/s41467-023-44330-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 352. Moodie Z, Juraska M, Huang Y, Zhuang Y, Fong Y, Carpp LN, Self SG, Chambonneau L, Small R, Jackson N, Noriega F, Gilbert PB. 2018. Neutralizing antibody correlates analysis of tetravalent dengue vaccine efficacy trials in Asia and Latin America. J Infect Dis 217:742–753. doi: 10.1093/infdis/jix609 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 353. Chan KR, Wang X, Saron WAA, Gan ES, Tan HC, Mok DZL, Zhang SL-X, Lee YH, Liang C, Wijaya L, Ghosh S, Cheung YB, Tannenbaum SR, Abraham SN, St John AL, Low JGH, Ooi EE. 2016. Cross-reactive antibodies enhance live attenuated virus infection for increased immunogenicity. Nat Microbiol 1:16164. doi: 10.1038/nmicrobiol.2016.164 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 354. Soo KM, Khalid B, Ching SM, Chee HY. 2016. Meta-analysis of dengue severity during infection by different dengue virus serotypes in primary and secondary infections. PLoS One 11:e0154760. doi: 10.1371/journal.pone.0154760 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 355. Halstead SB, Cohen SN. 2015. Dengue hemorrhagic fever at 60 years: early evolution of concepts of causation and treatment. Microbiol Mol Biol Rev 79:281–291. doi: 10.1128/MMBR.00009-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 356. Aguas R, Dorigatti I, Coudeville L, Luxemburger C, Ferguson NM. 2019. Cross-serotype interactions and disease outcome prediction of dengue infections in Vietnam. Sci Rep 9:9395. doi: 10.1038/s41598-019-45816-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 357. Halstead SB. 1974. Etiologies of the experimental dengues of Siler and Simmons. Am J Trop Med Hyg 23:974–982. doi: 10.4269/ajtmh.1974.23.974 [DOI] [PubMed] [Google Scholar]
- 358. Beltramello M, Williams KL, Simmons CP, Macagno A, Simonelli L, Quyen NTH, Sukupolvi-Petty S, Navarro-Sanchez E, Young PR, de Silva AM, Rey FA, Varani L, Whitehead SS, Diamond MS, Harris E, Lanzavecchia A, Sallusto F. 2010. The human immune response to dengue virus is dominated by highly cross-reactive antibodies endowed with neutralizing and enhancing activity. Cell Host Microbe 8:271–283. doi: 10.1016/j.chom.2010.08.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 359. Rouvinski A, Guardado-Calvo P, Barba-Spaeth G, Duquerroy S, Vaney MC, Kikuti CM, Navarro Sanchez ME, Dejnirattisai W, Wongwiwat W, Haouz A, Girard-Blanc C, Petres S, Shepard WE, Desprès P, Arenzana-Seisdedos F, Dussart P, Mongkolsapaya J, Screaton GR, Rey FA. 2015. Recognition determinants of broadly neutralizing human antibodies against dengue viruses. Nature 520:109–113. doi: 10.1038/nature14130 [DOI] [PubMed] [Google Scholar]
- 360. Patel B, Longo P, Miley MJ, Montoya M, Harris E, de Silva AM. 2017. Dissecting the human serum antibody response to secondary dengue virus infections. PLoS Negl Trop Dis 11:e0005554. doi: 10.1371/journal.pntd.0005554 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 361. Odio CD, Daag JV, Crisostomo MV, Voirin CJ, Coello Escoto A, Adams C, Dahora Hein L, Aogo RA, Mpingabo PI, Raimundi Rodriguez G, Firdous S, Abad Fernandez M, White LJ, Agrupis KA, Deen J, de Silva AM, Ylade M, Katzelnick LC. 2025. Dengue virus IgG and neutralizing antibody titers measured with standard and mature viruses are protective. Nat Commun 16:191. doi: 10.1038/s41467-024-53916-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 362. Henein S, Swanstrom J, Byers AM, Moser JM, Shaik SF, Bonaparte M, Jackson N, Guy B, Baric R, de Silva AM. 2017. Dissecting antibodies induced by a chimeric yellow fever-dengue, live-attenuated, tetravalent dengue vaccine (CYD-TDV) in naive and dengue-exposed individuals. J Infect Dis 215:351–358. doi: 10.1093/infdis/jiw576 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 363. Gallichotte EN, Baric RS, de Silva AM. 2018. The molecular specificity of the human antibody response to dengue virus infections. Adv Exp Med Biol 1062:63–76. doi: 10.1007/978-981-10-8727-1_5 [DOI] [PubMed] [Google Scholar]
- 364. Swanstrom JA, Henein S, Plante JA, Yount BL, Widman DG, Gallichotte EN, Dean HJ, Osorio JE, Partidos CD, de Silva AM, Baric RS. 2018. Analyzing the human serum antibody responses to a live attenuated tetravalent dengue vaccine candidate. J Infect Dis 217:1932–1941. doi: 10.1093/infdis/jiy063 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 365. White LJ, Young EF, Stoops MJ, Henein SR, Adams EC, Baric RS, de Silva AM. 2021. Defining levels of dengue virus serotype-specific neutralizing antibodies induced by a live attenuated tetravalent dengue vaccine (TAK-003). PLoS Negl Trop Dis 15:e0009258. doi: 10.1371/journal.pntd.0009258 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 366. Smith SA, de Alwis R, Kose N, Durbin AP, Whitehead SS, de Silva AM, Crowe JE Jr. 2013. Human monoclonal antibodies derived from memory B cells following live attenuated dengue virus vaccination or natural infection exhibit similar characteristics. J Infect Dis 207:1898–1908. doi: 10.1093/infdis/jit119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 367. Swanstrom JA, Nivarthi UK, Patel B, Delacruz MJ, Yount B, Widman DG, Durbin AP, Whitehead SS, De Silva AM, Baric RS. 2019. Beyond neutralizing antibody levels: the epitope specificity of antibodies induced by national institutes of health monovalent dengue virus vaccines. J Infect Dis 220:219–227. doi: 10.1093/infdis/jiz109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 368. Nivarthi UK, Swanstrom J, Delacruz MJ, Patel B, Durbin AP, Whitehead SS, Kirkpatrick BD, Pierce KK, Diehl SA, Katzelnick L, Baric RS, de Silva AM. 2021. A tetravalent live attenuated dengue virus vaccine stimulates balanced immunity to multiple serotypes in humans. Nat Commun 12:1102. doi: 10.1038/s41467-021-21384-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 369. Tu HA, Nivarthi UK, Graham NR, Eisenhauer P, Delacruz MJ, Pierce KK, Whitehead SS, Boyson JE, Botten JW, Kirkpatrick BD, Durbin AP, deSilva AM, Diehl SA. 2020. Stimulation of B cell immunity in flavivirus-naive individuals by the tetravalent live attenuated dengue vaccine TV003. Cell Rep Med 1:100155. doi: 10.1016/j.xcrm.2020.100155 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 370. Dias AG, Atyeo C, Loos C, Montoya M, Roy V, Bos S, Narvekar P, Singh T, Katzelnick LC, Kuan G, Lauffenburger DA, Balmaseda A, Alter G, Harris E. 2022. Antibody Fc characteristics and effector functions correlate with protection from symptomatic dengue virus type 3 infection. Sci Transl Med 14:eabm3151. doi: 10.1126/scitranslmed.abm3151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 371. Mehlhop E, Whitby K, Oliphant T, Marri A, Engle M, Diamond MS. 2005. Complement activation is required for induction of a protective antibody response against West Nile virus infection. J Virol 79:7466–7477. doi: 10.1128/JVI.79.12.7466-7477.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 372. Mehlhop E, Ansarah-Sobrinho C, Johnson S, Engle M, Fremont DH, Pierson TC, Diamond MS. 2007. Complement protein C1q inhibits antibody-dependent enhancement of flavivirus infection in an IgG subclass-specific manner. Cell Host Microbe 2:417–426. doi: 10.1016/j.chom.2007.09.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 373. Mehlhop E, Nelson S, Jost CA, Gorlatov S, Johnson S, Fremont DH, Diamond MS, Pierson TC. 2009. Complement protein C1q reduces the stoichiometric threshold for antibody-mediated neutralization of West Nile virus. Cell Host Microbe 6:381–391. doi: 10.1016/j.chom.2009.09.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 374. Dias AG, Duarte EM, Zambrana JV, Cardona-Ospina JA, Bos S, Roy V, Huffaker J, Kuan G, Balmaseda A, Alter G, Harris E. 2025. Anti-dengue virus antibodies that elicit complement-mediated lysis of Zika virion correlate with protection from severe dengue disease. Cell Rep 44:115613. doi: 10.1016/j.celrep.2025.115613 [DOI] [PubMed] [Google Scholar]
- 375. Gregorova M, Santopaolo M, Garner LC, Hayati RF, Diamond D, Ramamurthy N, Tran VT, Nguyen NM, Heesom KJ, Nguyen VL, Jones E, Nsubuga M, Luscombe C, Vo HTM, Ho CQ, Nguyen CTX, Dong TTH, Huynh DTL, Cao TT, Davidson AD, Klenerman P, Yacoub S, Rivino L. 2025. Early NK-cell and T-cell dysfunction marks progression to severe dengue in patients with obesity and healthy weight. Nat Commun 16:5569. doi: 10.1038/s41467-025-60941-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 376. Zhong Y, Kang AYH, Tay CJX, Li HE, Elyana N, Tan CW, Yap WC, Lim JME, Le Bert N, Chan KR, Ong EZ, Low JG, Shek LP, Tham EH, Ooi EE. 2024. Correlates of protection against symptomatic SARS-CoV-2 in vaccinated children. Nat Med 30:1373–1383. doi: 10.1038/s41591-024-02962-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 377. Koutsakos M, Reynaldi A, Lee WS, Nguyen J, Amarasena T, Taiaroa G, Kinsella P, Liew KC, Tran T, Kent HE, Tan H-X, Rowntree LC, Nguyen THO, Thomas PG, Kedzierska K, Petersen J, Rossjohn J, Williamson DA, Khoury D, Davenport MP, Kent SJ, Wheatley AK, Juno JA. 2023. SARS-CoV-2 breakthrough infection induces rapid memory and de novo T cell responses. Immunity 56:879–892. doi: 10.1016/j.immuni.2023.02.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 378. Painter MM, Johnston TS, Lundgreen KA, Santos JJS, Qin JS, Goel RR, Apostolidis SA, Mathew D, Fulmer B, Williams JC, et al. 2023. Prior vaccination promotes early activation of memory T cells and enhances immune responses during SARS-CoV-2 breakthrough infection. Nat Immunol 24:1711–1724. doi: 10.1038/s41590-023-01613-y [DOI] [PubMed] [Google Scholar]
- 379. Tan AT, Linster M, Tan CW, Le Bert N, Chia WN, Kunasegaran K, Zhuang Y, Tham CYL, Chia A, Smith GJD, Young B, Kalimuddin S, Low JGH, Lye D, Wang L-F, Bertoletti A. 2021. Early induction of functional SARS-CoV-2-specific T cells associates with rapid viral clearance and mild disease in COVID-19 patients. Cell Rep 34:108728. doi: 10.1016/j.celrep.2021.108728 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 380. Pulendran B. 2009. Learning immunology from the yellow fever vaccine: innate immunity to systems vaccinology. Nat Rev Immunol 9:741–747. doi: 10.1038/nri2629 [DOI] [PubMed] [Google Scholar]
- 381. Miller JD, van der Most RG, Akondy RS, Glidewell JT, Albott S, Masopust D, Murali-Krishna K, Mahar PL, Edupuganti S, Lalor S, Germon S, Del Rio C, Mulligan MJ, Staprans SI, Altman JD, Feinberg MB, Ahmed R. 2008. Human effector and memory CD8+ T cell responses to smallpox and yellow fever vaccines. Immunity 28:710–722. doi: 10.1016/j.immuni.2008.02.020 [DOI] [PubMed] [Google Scholar]
- 382. Akondy RS, Monson ND, Miller JD, Edupuganti S, Teuwen D, Wu H, Quyyumi F, Garg S, Altman JD, Del Rio C, Keyserling HL, Ploss A, Rice CM, Orenstein WA, Mulligan MJ, Ahmed R. 2009. The yellow fever virus vaccine induces a broad and polyfunctional human memory CD8+ T cell response. J Immunol 183:7919–7930. doi: 10.4049/jimmunol.0803903 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 383. James EA, LaFond RE, Gates TJ, Mai DT, Malhotra U, Kwok WW. 2013. Yellow fever vaccination elicits broad functional CD4+ T cell responses that recognize structural and nonstructural proteins. J Virol 87:12794–12804. doi: 10.1128/JVI.01160-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 384. Mishra N, Boudewijns R, Schmid MA, Marques RE, Sharma S, Neyts J, Dallmeier K. 2020. A Chimeric Japanese encephalitis vaccine protects against lethal yellow fever virus infection without inducing neutralizing antibodies. mBio 11. doi: 10.1128/mBio.02494-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 385. Kum DB, Boudewijns R, Ma J, Mishra N, Schols D, Neyts J, Dallmeier K. 2020. A chimeric yellow fever-Zika virus vaccine candidate fully protects against yellow fever virus infection in mice. Emerg Microbes Infect 9:520–533. doi: 10.1080/22221751.2020.1730709 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 386. Fumagalli V, Ravà M, Marotta D, Di Lucia P, Bono EB, Giustini L, De Leo F, Casalgrandi M, Monteleone E, Mouro V, Malpighi C, Perucchini C, Grillo M, De Palma S, Donnici L, Marchese S, Conti M, Muramatsu H, Perlman S, Pardi N, Kuka M, De Francesco R, Bianchi ME, Guidotti LG, Iannacone M. 2024. Antibody-independent protection against heterologous SARS-CoV-2 challenge conferred by prior infection or vaccination. Nat Immunol 25:633–643. doi: 10.1038/s41590-024-01787-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 387. Yauch LE, Zellweger RM, Kotturi MF, Qutubuddin A, Sidney J, Peters B, Prestwood TR, Sette A, Shresta S. 2009. A protective role for dengue virus-specific CD8+ T cells. J Immunol 182:4865–4873. doi: 10.4049/jimmunol.0801974 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 388. Jain N, Oswal N, Chawla AS, Agrawal T, Biswas M, Vrati S, Rath S, George A, Bal V, Medigeshi GR. 2017. CD8 T cells protect adult naive mice from JEV-induced morbidity via lytic function. PLoS Negl Trop Dis 11:e0005329. doi: 10.1371/journal.pntd.0005329 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 389. Saron WAA, Rathore APS, Ting L, Ooi EE, Low J, Abraham SN, St John AL. 2018. Flavivirus serocomplex cross-reactive immunity is protective by activating heterologous memory CD4 T cells. Sci Adv 4:eaar4297. doi: 10.1126/sciadv.aar4297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 390. Kalimuddin S, Tham CYL, Chan YFZ, Hang SK, Kunasegaran K, Chia A, Chan CYY, Ng DHL, Sim JXY, Tan H-C, Syenina A, Ngoh AQ, Hamis NZ, Chew V, Leong YS, Yee JX, Low JG, Chan KR, Ong EZ, Bertoletti A, Ooi EE. 2025. Vaccine-induced T cell responses control Orthoflavivirus challenge infection without neutralizing antibodies in humans. Nat Microbiol 10:374–387. doi: 10.1038/s41564-024-01903-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 391. Zompi S, Santich BH, Beatty PR, Harris E. 2012. Protection from secondary dengue virus infection in a mouse model reveals the role of serotype cross-reactive B and T cells. J Immunol 188:404–416. doi: 10.4049/jimmunol.1102124 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 392. Elong Ngono A, Chen H-W, Tang WW, Joo Y, King K, Weiskopf D, Sidney J, Sette A, Shresta S. 2016. Protective role of cross-reactive CD8 T cells against dengue virus infection. EBioMedicine 13:284–293. doi: 10.1016/j.ebiom.2016.10.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 393. Zellweger RM, Tang WW, Eddy WE, King K, Sanchez MC, Shresta S. 2015. CD8+ T cells can mediate short-term protection against heterotypic dengue virus reinfection in mice. J Virol 89:6494–6505. doi: 10.1128/JVI.00036-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 394. Tian Y, Grifoni A, Sette A, Weiskopf D. 2019. Human T cell response to dengue virus infection. Front Immunol 10:2125. doi: 10.3389/fimmu.2019.02125 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 395. Hatch S, Endy TP, Thomas S, Mathew A, Potts J, Pazoles P, Libraty DH, Gibbons R, Rothman AL. 2011. Intracellular cytokine production by dengue virus-specific T cells correlates with subclinical secondary infection. J Infect Dis 203:1282–1291. doi: 10.1093/infdis/jir012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 396. Weiskopf D, Angelo MA, de Azeredo EL, Sidney J, Greenbaum JA, Fernando AN, Broadwater A, Kolla RV, De Silva AD, de Silva AM, Mattia KA, Doranz BJ, Grey HM, Shresta S, Peters B, Sette A. 2013. Comprehensive analysis of dengue virus-specific responses supports an HLA-linked protective role for CD8+ T cells. Proc Natl Acad Sci USA 110:E2046–E2053. doi: 10.1073/pnas.1305227110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 397. Weiskopf D, Bangs DJ, Sidney J, Kolla RV, De Silva AD, de Silva AM, Crotty S, Peters B, Sette A. 2015. Dengue virus infection elicits highly polarized CX3CR1+ cytotoxic CD4+ T cells associated with protective immunity. Proc Natl Acad Sci USA 112:E4256–E4263. doi: 10.1073/pnas.1505956112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 398. Simon-Lorière E, Duong V, Tawfik A, Ung S, Ly S, Casadémont I, Prot M, Courtejoie N, Bleakley K, Buchy P, Tarantola A, Dussart P, Cantaert T, Sakuntabhai A. 2017. Increased adaptive immune responses and proper feedback regulation protect against clinical dengue. Sci Transl Med 9:eaal5088. doi: 10.1126/scitranslmed.aal5088 [DOI] [PubMed] [Google Scholar]
- 399. Gálvez RI, Martínez-Pérez A, Escarrega EA, Singh T, Zambrana JV, Balmaseda Á, Harris E, Weiskopf D. 2025. Frequency of dengue virus-specific T cells is related to infection outcome in endemic settings. JCI Insight 10:e179771. doi: 10.1172/jci.insight.179771 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 400. de Matos AM, Carvalho KI, Rosa DS, Villas-Boas LS, da Silva WC, Rodrigues CL de L, Oliveira OMNPF, Levi JE, Araújo ESA, Pannuti CS, Luna EJA, Kallas EG. 2015. CD8+ T lymphocyte expansion, proliferation and activation in dengue fever. PLoS Negl Trop Dis 9:e0003520. doi: 10.1371/journal.pntd.0003520 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 401. Tian Y, Babor M, Lane J, Seumois G, Liang S, Goonawardhana NDS, De Silva AD, Phillips EJ, Mallal SA, da Silva Antunes R, Grifoni A, Vijayanand P, Weiskopf D, Peters B, Sette A. 2019. Dengue-specific CD8+ T cell subsets display specialized transcriptomic and TCR profiles. J Clin Invest 129:1727–1741. doi: 10.1172/JCI123726 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 402. Tian Y, Babor M, Lane J, Schulten V, Patil VS, Seumois G, Rosales SL, Fu Z, Picarda G, Burel J, Zapardiel-Gonzalo J, Tennekoon RN, De Silva AD, Premawansa S, Premawansa G, Wijewickrama A, Greenbaum JA, Vijayanand P, Weiskopf D, Sette A, Peters B. 2017. Unique phenotypes and clonal expansions of human CD4 effector memory T cells re-expressing CD45RA. Nat Commun 8. doi: 10.1038/s41467-017-01728-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 403. Gonnella G, Libri V, Gioacchino E, Mella S, Sann S, Sorn S, Ken S, Seffer V, Ya N, Heng L, Yay C, Sakuntabhai A, Ly S, Dussart P, Duong V, Hasan M, Cantaert T. 2025. Immune profiling in subclinical secondary dengue-infected cases reveals adaptive immune signatures correlated to protection from severe dengue. Cell Host Microbe 33:1191–1207. doi: 10.1016/j.chom.2025.06.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 404. Kalimuddin S, Ooi EE. 2025. A helping hand against severe dengue. Cell Host Microbe 33:1050–1051. doi: 10.1016/j.chom.2025.06.012 [DOI] [PubMed] [Google Scholar]
- 405. Garcia-Bates TM, Cordeiro MT, Nascimento EJM, Smith AP, Soares de Melo KM, McBurney SP, Evans JD, Marques ETA Jr, Barratt-Boyes SM. 2013. Association between magnitude of the virus-specific plasmablast response and disease severity in dengue patients. J Immunol 190:80–87. doi: 10.4049/jimmunol.1103350 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 406. Mathew A, West K, Kalayanarooj S, Gibbons RV, Srikiatkhachorn A, Green S, Libraty D, Jaiswal S, Rothman AL. 2011. B-cell responses during primary and secondary dengue virus infections in humans. J Infect Dis 204:1514–1522. doi: 10.1093/infdis/jir607 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 407. Haltaufderhyde K, Srikiatkhachorn A, Green S, Macareo L, Park S, Kalayanarooj S, Rothman AL, Mathew A. 2018. Activation of peripheral T follicular helper cells during acute dengue virus infection. J Infect Dis 218:1675–1685. doi: 10.1093/infdis/jiy360 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 408. Ansari A, Sachan S, Ahuja J, Venkadesan S, Nikam B, Kumar V, Jain S, Singh BP, Coshic P, Sikka K, Wig N, Sette A, Weiskopf D, Mohanty D, Soneja M, Gupta N. 2025. Distinct features of a peripheral T helper subset that drives the B cell response in dengue virus infection. Cell Rep 44:115366. doi: 10.1016/j.celrep.2025.115366 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 409. Lühn K, Simmons CP, Moran E, Dung NTP, Chau TNB, Quyen NTH, Thao LTT, Van Ngoc T, Dung NM, Wills B, Farrar J, McMichael AJ, Dong T, Rowland-Jones S. 2007. Increased frequencies of CD4+ CD25(high) regulatory T cells in acute dengue infection. J Exp Med 204:979–985. doi: 10.1084/jem.20061381 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 410. Jayaratne HE, Wijeratne D, Fernando S, Kamaladasa A, Gomes L, Wijewickrama A, Ogg GS, Malavige GN. 2018. Regulatory T-cells in acute dengue viral infection. Immunology 154:89–97. doi: 10.1111/imm.12863 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 411. Sann S, Heng B, Vo HTM, Arroyo Hornero R, Lay S, Sorn S, Ken S, Ou TP, Laurent D, Yay C, Ly S, Dussart P, Duong V, Sakuntabhai A, Kleinewietfeld M, Cantaert T. 2024. Increased frequencies of highly activated regulatory T cells skewed to a T helper 1-like phenotype with reduced suppressive capacity in dengue patients. mBio 15:e0006324. doi: 10.1128/mbio.00063-24 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 412. Ooi EE, Kalimuddin S. 2024. Lessons for dengue vaccines from a human challenge study. Lancet Infect Dis 24:801–803. doi: 10.1016/S1473-3099(24)00153-1 [DOI] [PubMed] [Google Scholar]
- 413. Guy B, Nougarede N, Begue S, Sanchez V, Souag N, Carre M, Chambonneau L, Morrisson DN, Shaw D, Qiao M, Dumas R, Lang J, Forrat R. 2008. Cell-mediated immunity induced by chimeric tetravalent dengue vaccine in naive or flavivirus-primed subjects. Vaccine (Auckl) 26:5712–5721. doi: 10.1016/j.vaccine.2008.08.019 [DOI] [PubMed] [Google Scholar]
- 414. Tricou V, Gottardo R, Egan MA, Clement F, Leroux-Roels G, Sáez-Llorens X, Borkowski A, Wallace D, Dean HJ. 2022. Characterization of the cell-mediated immune response to Takeda’s live-attenuated tetravalent dengue vaccine in adolescents participating in a phase 2 randomized controlled trial conducted in a dengue-endemic setting. Vaccine (Auckl) 40:1143–1151. doi: 10.1016/j.vaccine.2022.01.016 [DOI] [PubMed] [Google Scholar]
- 415. Waickman AT, Victor K, Li T, Hatch K, Rutvisuttinunt W, Medin C, Gabriel B, Jarman RG, Friberg H, Currier JR. 2019. Dissecting the heterogeneity of DENV vaccine-elicited cellular immunity using single-cell RNA sequencing and metabolic profiling. Nat Commun 10:3666. doi: 10.1038/s41467-019-11634-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 416. Weiskopf D, Angelo MA, Bangs DJ, Sidney J, Paul S, Peters B, de Silva AD, Lindow JC, Diehl SA, Whitehead S, Durbin A, Kirkpatrick B, Sette A. 2015. The human CD8+ T cell responses induced by a live attenuated tetravalent dengue vaccine are directed against highly conserved epitopes . J Virol 89:120–128. doi: 10.1128/JVI.02129-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 417. Mandaric S, Friberg H, Saez-Llorens X, Borja-Tabora C, Biswal S, Escudero I, Faccin A, Gottardo R, Brose M, Roubinis N, Fladager D, DeAntonio R, Dimero JAL, Montenegro N, Folschweiller N, Currier JR, Sharma M, Tricou V. 2024. Long term T cell response and safety of a tetravalent dengue vaccine in healthy children. NPJ Vaccines 9:192. doi: 10.1038/s41541-024-00967-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 418. Graham N, Eisenhauer P, Diehl SA, Pierce KK, Whitehead SS, Durbin AP, Kirkpatrick BD, Sette A, Weiskopf D, Boyson JE, Botten JW. 2020. Rapid induction and maintenance of virus-specific CD8+ TEMRA and CD4+ TEM cells following protective vaccination against dengue virus challenge in humans. Front Immunol 11:479. doi: 10.3389/fimmu.2020.00479 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 419. Angelo MA, Grifoni A, O’Rourke PH, Sidney J, Paul S, Peters B, de Silva AD, Phillips E, Mallal S, Diehl SA, Kirkpatrick BD, Whitehead SS, Durbin AP, Sette A, Weiskopf D. 2017. Human CD4+ T cell responses to an attenuated tetravalent dengue vaccine parallel those induced by natural infection in magnitude, HLA restriction, and antigen specificity. J Virol 91:e02147-16. doi: 10.1128/JVI.02147-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 420. Thomas SJ. 2013. Dengue human infection model: re-establishing a tool for understanding dengue immunology and advancing vaccine development. Hum Vaccin Immunother 9:1587–1590. doi: 10.4161/hv.24188 [DOI] [PubMed] [Google Scholar]
- 421. McKee KT, Bancroft WH, Eckels KH, Redfield RR, Summers PL, Russell PK. 1987. Lack of attenuation of a candidate dengue 1 vaccine (45AZ5) in human volunteers. Am J Trop Med Hyg 36:435–442. doi: 10.4269/ajtmh.1987.36.435 [DOI] [PubMed] [Google Scholar]
- 422. Innis BL, Eckels KH, Kraiselburd E, Dubois DR, Meadors GF, Gubler DJ, Burke DS, Bancroft WH. 1988. Virulence of a live dengue virus vaccine candidate: a possible new marker of dengue virus attenuation. J Infect Dis 158:876–880. doi: 10.1093/infdis/158.4.876 [DOI] [PubMed] [Google Scholar]
- 423. Lyons AG. 2014. The human dengue challenge experience at the Walter Reed Army Institute of Research. J Infect Dis 209 Suppl 2:S49–S55. doi: 10.1093/infdis/jiu174 [DOI] [PubMed] [Google Scholar]
- 424. Waickman AT, Newell K, Lu JQ, Fang H, Waldran M, Gebo C, Currier JR, Friberg H, Jarman RG, Klick MD, Ware LA, Endy TP, Thomas SJ. 2024. Low-dose dengue virus 3 human challenge model: a phase 1 open-label study. Nat Microbiol 9:1356–1367. doi: 10.1038/s41564-024-01668-z [DOI] [PubMed] [Google Scholar]
- 425. Endy TP, Wang D, Polhemus ME, Jarman RG, Jasper LE, Gromowski G, Lin L, De La Barra RA, Friberg H, Currier JR, Abbott M, Ware L, Klick M, Paolino KM, Blair DC, Eckels K, Rutvisuttinunt W, Thomas SJ. 2021. A phase 1, open-label assessment of a dengue virus-1 live virus human challenge strain. J Infect Dis 223:258–267. doi: 10.1093/infdis/jiaa351 [DOI] [PubMed] [Google Scholar]
- 426. Waickman AT, Lu JQ, Fang H, Waldran MJ, Gebo C, Currier JR, Ware L, Van Wesenbeeck L, Verpoorten N, Lenz O, Tambuyzer L, Herrera-Taracena G, Van Loock M, Endy TP, Thomas SJ. 2022. Evolution of inflammation and immunity in a dengue virus 1 human infection model. Sci Transl Med 14:eabo5019. doi: 10.1126/scitranslmed.abo5019 [DOI] [PubMed] [Google Scholar]
- 427. Blaney JE, Hanson CT, Hanley KA, Murphy BR, Whitehead SS. 2004. Vaccine candidates derived from a novel infectious cDNA clone of an American genotype dengue virus type 2. BMC Infect Dis 4:39. doi: 10.1186/1471-2334-4-39 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 428. Blaney JE Jr, Hanson CT, Firestone C-Y, Hanley KA, Murphy BR, Whitehead SS. 2004. Genetically modified, live attenuated dengue virus type 3 vaccine candidates. Am J Trop Med Hyg 71:811–821. doi: 10.4269/ajtmh.2004.71.811 [DOI] [PubMed] [Google Scholar]
- 429. Larsen CP, Whitehead SS, Durbin AP. 2015. Dengue human infection models to advance dengue vaccine development. Vaccine (Auckl) 33:7075–7082. doi: 10.1016/j.vaccine.2015.09.052 [DOI] [PubMed] [Google Scholar]
- 430. Hanley JP, Tu HA, Dragon JA, Dickson DM, Rio-Guerra RD, Tighe SW, Eckstrom KM, Selig N, Scarpino SV, Whitehead SS, Durbin AP, Pierce KK, Kirkpatrick BD, Rizzo DM, Frietze S, Diehl SA. 2021. Immunotranscriptomic profiling the acute and clearance phases of a human challenge dengue virus serotype 2 infection model. Nat Commun 12:3054. doi: 10.1038/s41467-021-22930-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 431. Hou R, Tomalin LE, Silva JP, Kim-Schulze S, Whitehead SS, Fernandez-Sesma A, Durbin AP, Suárez-Fariñas M. 2022. The innate immune response following multivalent dengue vaccination and implications for protection against dengue challenge. JCI Insight 7. doi: 10.1172/jci.insight.157811 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 432. Kirkpatrick BD, Whitehead SS, Pierce KK, Tibery CM, Grier PL, Hynes NA, Larsson CJ, Sabundayo BP, Talaat KR, Janiak A, Carmolli MP, Luke CJ, Diehl SA, Durbin AP. 2016. The live attenuated dengue vaccine TV003 elicits complete protection against dengue in a human challenge model. Sci Transl Med 8:330ra36. doi: 10.1126/scitranslmed.aaf1517 [DOI] [PubMed] [Google Scholar]
- 433. Nivarthi UK, Tu HA, Delacruz MJ, Swanstrom J, Patel B, Durbin AP, Whitehead SS, Pierce KK, Kirkpatrick BD, Baric RS, Nguyen N, Emerling DE, de Silva AM, Diehl SA. 2019. Longitudinal analysis of acute and convalescent B cell responses in a human primary dengue serotype 2 infection model. EBioMedicine 41:465–478. doi: 10.1016/j.ebiom.2019.02.060 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 434. McCracken MK, Gromowski GD, Garver LS, Goupil BA, Walker KD, Friberg H, Currier JR, Rutvisuttinunt W, Hinton KL, Christofferson RC, Mores CN, Vanloubbeeck Y, Lorin C, Malice M-P, Thomas SJ, Jarman RG, Vaughn DW, Putnak JR, Warter L. 2020. Route of inoculation and mosquito vector exposure modulate dengue virus replication kinetics and immune responses in rhesus macaques. PLoS Negl Trop Dis 14:e0008191. doi: 10.1371/journal.pntd.0008191 [DOI] [PMC free article] [PubMed] [Google Scholar]










