Skip to main content
Viruses logoLink to Viruses
. 2021 Mar 31;13(4):596. doi: 10.3390/v13040596

Different Cross-Reactivities of IgM Responses in Dengue, Zika and Tick-Borne Encephalitis Virus Infections

Karin Stiasny 1,*, Stefan Malafa 1, Stephan W Aberle 1, Iris Medits 1, Georgios Tsouchnikas 1, Judith H Aberle 1, Heidemarie Holzmann 1, Franz X Heinz 1,*
Editors: Ashley L St John1, Abhay PS Rathore1
PMCID: PMC8066087  PMID: 33807442

Abstract

Flaviviruses circulate worldwide and cause a number of medically relevant human diseases, such as dengue, Zika, yellow fever, and tick-borne encephalitis (TBE). Serology plays an important role in the diagnosis of flavivirus infections, but can be impeded by antigenic cross-reactivities among flaviviruses. Therefore, serological diagnosis of a recent infection can be insufficiently specific, especially in areas where flaviviruses co-circulate and/or vaccination coverage against certain flaviviruses is high. In this study, we developed a new IgM assay format, which is well suited for the specific diagnosis of TBE, Zika and dengue virus infections. In the case of TBE and Zika, the IgM response proved to be highly specific for the infecting virus. In contrast, primary dengue virus infections induced substantial amounts of cross-reactive IgM antibodies, which is most likely explained by structural peculiarities of dengue virus particles. Despite the presence of cross-reactive IgM, the standardized nature and the quantitative read-out of the assay even allowed the serotype-specific diagnosis of recent dengue virus infections in most instances.

Keywords: flavivirus cross-reactivity, flavivirus IgM response, dengue, Zika, tick-borne encephalitis

1. Introduction

Flavivirus infections are of global importance for human health and pose increasing threats, as illustrated by the spread of dengue (DEN), Zika, West Nile, and tick-borne encephalitis virus (TBE) viruses (reviewed in [1,2]). These pathogens are transmitted to humans by specific arthropod vectors, either mosquitoes (dengue, Zika, West Nile, yellow fever, and Japanese encephalitis viruses) or ticks (TBE virus). The presence of the corresponding vectors and reservoir hosts determine the geographical distribution of flaviviruses, with, e.g., dengue viruses being endemic in the tropical and subtropical regions around the world and TBE virus being restricted to parts of Europe and Asia [3].

The diagnosis of flavivirus infections can be difficult, because the presence of the virus in the blood of patients (and correspondingly PCR positivity) is only transient in many instances (reviewed in [4,5]). Specific laboratory diagnosis therefore relies heavily on serological assays, and the detection of virus-specific IgM can serve as proof for a recent infection. Since all flaviviruses are antigenically related, serological analyses, however, can be complicated by cross-reactivity [6], with neutralization assays usually being most specific [4]. Further complications can arise from anamnestic immune responses and phenomena of original antigenic sin [6] that occur in the course of sequential infections in areas with co-circulating flaviviruses, but also in regions with a high degree of seropositivity due to vaccinations (TBE, yellow fever, Japanese encephalitis). The problem is therefore not unusual in travelers with pre-existing vaccine-induced immunity returning with ill-defined diseases from endemic areas. The latter situation is prominent in Central Europe, because of its high TBE vaccination coverage and many travelers returning from holiday destinations where they might have been at risk for dengue and Zika virus infections.

We assessed IgM specificity in flavivirus serodiagnosis with a newly developed IgM-capturing-ELISA format using a pre-formed detector complex with purified recombinant envelope (E) proteins of different flaviviruses. In our analyses, we performed a direct comparison of the cross-reactivity patterns in the following cohorts of recent flavivirus infections: 1. TBE patients in Austria, 2. Zika patients (travelers returning from endemic regions to Austria), and 3. dengue patients (travelers returning from endemic regions to Austria). Most of the Zika and dengue patients had a pre-existing immunity against TBE virus due to vaccination. As a control antigen for measuring broad flavivirus cross-reactivity, we used E from Rio Bravo virus (a no-known vector virus, [3]), which is distantly related to all flaviviruses included in this study.

While the IgM response was highly specific in TBE and Zika virus infections, IgM antibodies induced by dengue virus infections were substantially more cross-reactive. This discrepancy suggests differences in the structural characteristics of the three flaviviruses that affect the induction of antibodies against the most conserved sites in E. Even in the case of dengue virus infections, however, a direct quantitative comparison of IgM with all antigens in one standardized assay allowed an unambiguous differentiation between infections with these viruses, and in most instances even the identification of the infecting dengue serotype.

2. Materials and Methods

2.1. Human Serum Samples

Serum samples of patients were sent for diagnostic purposes to the Center for Virology, Medical University of Vienna, and only leftover samples were used in anonymized form. No sample was specifically collected for this retrospective study. Zika and dengue serum samples were from travelers returning from endemic regions to Austria, TBE serum samples from patients infected in Austria.

2.2. Dengue and Zika PCR

Viral nucleic acid was extracted from 200 µL serum using the automated NucliSens EasyMag extractor, according to the manufacturer’s instructions (Biomerieux, Marcy l´Etoile, France). Dengue and Zika RNA TaqMan-based real-time PCR assays were carried out with primers and probes located in the 3’NCR and NS5, respectively, as described previously [7,8]. Dengue serotypes were determined with the Dengue Virus Typing Tool as described [9]. The assays were validated using proficiency panels from European Centre for Disease Prevention and Control, Emerging and Vector Borne Laboratory Network (ECDC EVD-LabNet) and The Royal College of Pathologists of Australasia Quality Assurance Program and World Health Organization (RCPAQAP and WHO).

2.3. Serodiagnosis of TBE Cases

Serum samples were analyzed with TBE IgM and IgG ELISAs based on purified TBE virus strain Neudörfl as described previously [10]. Briefly, an IgM capture assay with horseradish peroxidase-labeled virus as detector was employed for determining IgM arbitrary units (AU) using a serum from a recent infection (set to 1000 AU) as a standard. IgG antibodies were quantified with an indirect ELISA using formalin-inactivated purified virus as antigen, and again a polyclonal post-infection TBE serum was used as a standard (set to 1000 AU).

2.4. Commercial Dengue IgM Kits

The DENV DetectTM IgM Capture ELISA (InBios, Seattle, WA, USA) and/or the SD Bioline Dengue Duo (Standard Diagnostics, South Korea) were used for the detection of DENV-specific IgM antibodies according to the manufacturers’ instructions.

2.5. Recombinant Flavivirus Antigens

The recombinant soluble E proteins (sE) were produced with the Drosophila Expression System (Invitrogen) using the expression vector pT389 (kindly provided by Felix Rey, Institut Pasteur), encoding the E protein lacking the stem-anchor region (synthesized by GeneArt/Thermo Fisher Scientific, Regensburg, Germany), an enterokinase cleavage site and a double strep tag (C-terminal). As described previously [11,12], Drosophila Schneider 2 (S2) cells were stably transfected and blasticidin was employed for selection. Protein expression was induced by the addition of CuSO4 and cell culture supernatants were harvested 7–10 days after induction. Recombinant proteins were purified with Streptactin-affinity chromatography (IBA GmbH, Göttingen, Germany) according to the manufacturers’ instructions. The recombinant proteins used in this study are summarized in Table 1.

Table 1.

Recombinant soluble E (sE) proteins used as antigens in ELISAs.

Recombinant sE Protein Amino Acids (E) Virus Strain Genbank Reference
DENV serotype 1 1–399 FGA/89 AAF82039 This study
DENV serotype 2 1–399 16681 NC_001474 [11,12]
DENV serotype 3 1–397 CH53489 DQ863638 This study
DENV serotype 4 1–399 814669 NC_002640 This study
Zika virus 1–408 H/PF/2013 KJ776791 [13]
Rio Bravo virus 1–393 RiMAR AF144692 [11,12]
TBEV sE 1–400 Neudoerfl U27495 [14]

2.6. New Flavivirus Capture IgM E-Complex ELISA

MaxiSorp microtiter plates (Nunc) were coated overnight at 4 °C with rabbit immunoglobulin directed against human µ chains (Dako) [10,11]. Serum samples in phosphate-buffered saline (PBS) pH 7.4, containing 2% sheep serum and 2% Tween 20, were added at a 1:100 dilution and incubated for 45 min at 37 °C.

For the detection of flavivirus-specific IgM antibodies, a preformed complex of strep-tagged sE and Streptactin-labeled horseradish peroxidase (HRP) was applied. sE proteins and Streptactin-HRP (IBA GmbH, Göttingen, Germany) were mixed in pre-determined optimal concentrations, incubated for 30 min at room temperature and either stored at −80 °C or directly used. The complex (final concentrations: 1 µg/mL sE, Streptactin-HRP 1:500 to 1:2000, depending on the batch) was then added to the plates and incubated for 30 min at 37 °C. Absorbance was measured at 450 nm. Each serum was tested at least twice and mean absorbance values were calculated.

The assay was validated with 38 flavivirus-negative diagnostic serum samples from previous studies [10]. The cut-off was calculated as the mean absorbance value of these negative samples plus three standard deviations. In each assay, four positive samples from confirmed TBE, Zika and dengue cases as well as at least three negative samples were included as controls.

2.7. Flavivirus IgG ELISA

IgG ELISAs were carried out as previously described [11]. Briefly, 25 ng/well strep-tagged sE were added to Streptactin coated microplates (IBA GmbH, Göttingen, Germany) and incubated for 1.5 h at 37 °C in PBS pH 7.4, containing 2% sheep serum and 2% Tween 20. After blocking with 1% bovine serum albumin in PBS pH 7.4, serial dilutions of samples were added and incubated for 1 h at 37 °C. Bound human antibodies were detected with HRP-labeled goat anti-human IgG (Thermo Fisher Scientific). Titers were determined by curve fitting with a four-parameter logistic regression with GraphPad Prism 8 (GraphPad Software Inc., San Diego, CA, USA). A positive control serum was used on each plate as described in [11]. The cut-off for titer calculations was determined with 32 flavivirus-negative diagnostic serum samples from previous studies and was set as the mean absorbance value from these negative controls at the 1:100 starting dilution plus three standard deviations [10,11]. Each serum was tested three times and geometric mean titers were calculated. Statistical comparisons by ANOVA were carried out with log-transformed titers and GraphPad Prism 8 (GraphPad Software Inc.). p values ≤ 0.05 were considered significant.

2.8. Flavivirus Neutralization Tests (NTs)

TBE, yellow fever (YF) and Zika NTs were performed as described previously [11,15]. Briefly, serial dilutions of serum samples were mixed with TBE virus strain Neudörfl, YF virus strain 17D or Zika virus strain H/PF 2013. BHK-21 (TBE, YF) or Vero (Zika) cells were added and incubation was continued for 3–4 days. In the case of YF and Zika viruses, virus neutralization titers were expressed as the reciprocal of the serum dilution required for protection against a virus-induced cytopathic effect (CPE). Virus neutralization titers ≥ 20 (Zika) and ≥40 (YF) were considered positive. Since TBE virus does not produce a sufficient CPE for easy read-out, virus replication and its inhibition were determined by measuring the presence of virus in the cellular supernatants with an ELISA as described previously [16,17]. The virus neutralization titer was defined as the reciprocal of the plasma sample dilution that yielded a 50% reduction in the absorbance readout compared with the control without antibody. Virus neutralization titers ≥ 10 were considered positive.

3. Results

3.1. Cohorts and Samples Analyzed in the Study

To assess the patterns of IgM cross-reactivity after different flavivirus infections, we analyzed serum samples in the novel capture IgM E-complex ELISA from three groups of patients, in which a recent flavivirus infection had been diagnosed by routine serological assays and/or direct virus detection:

  1. Sixteen TBE patients (Table 2). All were found to be TBE IgM and IgG positive upon sample submission to the laboratory. Specificity of the detected antibodies was confirmed by TBE virus NTs. None of the patients had neutralizing antibodies against yellow fever (YF) virus, which would be indicative of a previous YF vaccination.

  2. Twenty Zika patients (Table 3). The serum samples were obtained from travelers returning from endemic areas to Austria in 2016 and 2017. All 20 patients were shown to have Zika IgM and Zika virus neutralizing antibodies. Dengue virus infections were ruled out by testing the samples in commercial dengue IgM tests (dengue IgM negative). Zika virus infection was confirmed by PCR in 3 of the 20 patients using samples obtained 2–4 days after symptom onset (Z4, Z7 and Z20 in Table 4), when the sera were still negative in routine Zika and dengue IgM ELISAs. In these cases, follow-up samples were used for the present study.

  3. Sixteen dengue patients (Table 4). The serum samples were obtained from travelers returning from endemic areas to Austria between 2009 and 2017. To identify the extent of cross-reactivity within the dengue serocomplex, we included only cases in which the infecting serotype was identified by PCR. In most instances, the first samples sent to our institution for laboratory diagnosis were PCR positive, but negative in the commercial IgM tests. The follow-up samples, however, all became dengue IgM positive (Table 4).

Table 2.

Characteristics of serum samples obtained from tick-borne encephalitis (TBE) patients in Austria, 2017, as determined by routine serodiagnosis.

Sample TBE IgM 1 TBE IgG 1 TBE NT 2 YF NT 3
T1 >1000 >1000 pos neg
T2 900 >1000 pos neg
T3 567 >1000 pos neg
T4 664 >1000 pos neg
T5 >1000 >1000 pos neg
T6 >1000 >1000 pos neg
T7 >1000 >1000 pos neg
T8 968 >1000 pos neg
T9 995 >1000 pos neg
T10 >1000 >1000 pos neg
T11 >1000 >1000 pos neg
T12 >1000 >1000 pos neg
T13 >1000 >1000 pos neg
T14 >1000 >1000 pos neg
T15 >1000 >1000 pos neg
T16 829 >1000 pos neg

1 TBE virus-specific IgM and IgG were quantified in arbitrary units as described in Materials and Methods. All samples were IgM and IgG positive; 2 TBE neutralization test; 3 Yellow fever (YF) neutralization test.

Table 3.

Characteristics of Zika serum samples obtained from travelers who returned to Austria from Zika-endemic regions, 2016–2017, as determined by routine diagnosis.

Sample Zika IgM DEN IgM 1 Zika NT TBE NT YF NT Infection Site
Z1 pos neg pos pos neg Brazil
Z2 pos neg pos pos neg Columbia
Z3 pos neg pos pos pos Columbia
Z4 pos neg pos neg neg Brazil
Z5 pos neg pos pos neg Columbia
Z6 pos neg pos pos pos Venezuela
Z7 pos neg pos pos neg Dominican Republic
Z8 pos neg pos pos neg Dominican Republic
Z9 pos neg pos pos neg Dominican Republic
Z10 pos neg pos pos neg Mexico
Z11 pos neg pos pos n.a. Tobago
Z12 pos neg pos pos neg Mexico
Z13 pos neg pos pos neg Nicaragua
Z14 pos neg pos pos neg Barbados
Z15 pos neg pos pos neg Netherlands Antilles
Z16 pos neg pos pos pos Netherlands Antilles
Z17 pos neg pos pos neg Cuba
Z18 pos neg pos pos pos Cuba
Z19 pos neg pos pos pos Columbia
Z20 pos neg pos pos neg Vietnam

1 Dengue (DEN) virus-specific IgM were detected with commercial kits as described in Materials and Methods.

Table 4.

Characteristics of dengue serum samples obtained from travelers who returned to Austria from dengue-endemic regions, 2009–2017, as determined by routine diagnosis.

Sample DEN PCR 1 DEN IgM 2 TBE NT YF NT Infection Site
D1 Den3 pos pos neg Bali
D2 Den2 pos pos neg Brazil
D3 Den2 pos pos pos Unknown 3
D4 Den1 pos pos neg Thailand
D5 Den1 pos pos neg Madeira
D6 Den3 pos pos neg Unknown 3
D7 Den4 pos pos neg Thailand
D8 Den1 pos pos neg Thailand
D9 Den2 pos neg pos Tanzania
D10 Den2 pos pos neg Maldives
D11 Den2 pos pos neg Sri Lanka
D12 Den3 pos pos neg Indonesia
D13 Den4 pos pos pos Philippines
D14 Den4 pos pos neg Philippines
D15 Den4 pos pos neg Sri Lanka
D16 Den3 pos pos neg India

1 1st samples used for confirmation by PCR; 2 dengue virus-specific IgM were detected with commercial kits as described in Materials and Methods; 3 specific travel history not available to the diagnostic laboratory.

Consistent with the high TBE vaccination coverage in Austria, 19 of the 20 Zika patients and 15 of the 16 dengue patients had been vaccinated against TBE in the past, as confirmed by TBE NTs (Table 3 and Table 4). In addition, some TBE-vaccinated Zika (n = 5) and dengue (n = 2) patients had also been vaccinated against YF, as revealed by a positive YF NT; the single TBE-naïve dengue patient had a previous YF vaccination. The time points of vaccinations were not available to the diagnostic laboratory.

3.2. IgM Patterns with the E-Complex ELISA

To investigate the specificity of IgM antibodies detected in the newly developed E-complex ELISA, we analyzed the 16 TBE, 20 Zika and 16 dengue samples as displayed in Table 2, Table 3 and Table 4, respectively. This assay uses purified strep-tagged soluble E (sE) proteins of TBE, Zika, dengue serotypes 1–4 (DEN1, DEN2, DEN3, DEN4), and Rio Bravo viruses in a pre-formed detector complex with Streptactin-labeled-peroxidase in an IgM capturing format (for details see Materials and Methods).

As displayed in Figure 1a,b, virtually no cross-reactivity was observed with the serum samples from TBE and Zika patients, showing that a highly specific serodiagnosis is possible with the assay in these cases. In contrast, a quite different pattern was obtained with the samples from dengue virus infections. These samples exhibited substantially more IgM cross-reactivity, primarily within the dengue serocomplex, but also extending to Zika, Rio Bravo and to a lesser extent to TBE viruses. Applying the cut-off as established with negative serum samples (Materials and Methods), 50% of the dengue samples yielded a positive result with Zika, 62.5% with Rio Bravo, and 20% with TBE.

Figure 1.

Figure 1

Flavivirus IgM E-complex ELISAs with the TBE, Zika and dengue serum samples. Sera from 16 TBE (a), 20 Zika (b) and 16 dengue patients (c) were analyzed in IgM E-complex ELISAs with soluble E proteins (sEs) of TBE, Zika, dengue (DEN)1, DEN2, DEN3, DEN4, and Rio Bravo viruses.

For visualizing the capacity of the assay to discriminate between infections with different dengue virus serotypes, the IgM reactivity pattern of each dengue serum with the different antigens is displayed in Figure 2. Each serum yielded an individual-specific pattern with different degrees of cross-reactivities. The comparison of reactivities with all antigens in one assay allowed the clear identification of a dengue virus infection, despite the presence of varying amounts of cross-reactive IgM to Zika, TBE, and Rio Bravo virus antigens. Quantitative evaluation even allowed a conclusion with respect to the infecting dengue virus serotype in most instances, as illustrated in Figure 2a–d. It is of note that the reactivity patterns varied strongly, even between infections with the same dengue virus serotype (serotype 1: Figure 2a, serotype 2: Figure 2b, serotype 3: Figure 2c, serotype 4: Figure 2d), suggesting strain-specific and/or individual-specific differences in inducing cross-reactive antibodies. In one serum sample (D9, Figure 2e), cross-reactive IgM antibodies dominated to such an extent (as revealed by the reactivity with the Rio Bravo control) that identification of the infecting serotype was not possible. Differentiation from Zika and TBE virus infections, however, was still unambiguous.

Figure 2.

Figure 2

Comparative analysis of dengue serum samples in IgM E-complex ELISAs using the sE antigens of DEN1, DEN2, DEN3, DEN4, TBE, Zika, and Rio Bravo (RB) viruses. (a) PCR-confirmed DEN1 samples D4, D5 and D6. (b) PCR-confirmed DEN2 samples D2, D3, D10 and D11. (c) PCR-confirmed DEN3 samples D1, D6, D12 and D16. (d) PCR-confirmed DEN4 samples D7, D13, D14 and D15. (e) PCR-confirmed DEN2 sample D9 with a highly cross-reactive IgM pattern. Solid line: cut-off.

Serum samples from two patients sent to our institution for dengue/Zika diagnosis yielded a pattern suggestive of a double infection with dengue and Zika viruses. Patient DZ1 (Figure 3a) had returned from a tour in Central America, patient DZ2 (Figure 3b) from Jamaica.

Figure 3.

Figure 3

Flavivirus IgM E-complex ELISAs of two samples from suspected recent dengue and Zika virus infections with sEs of DEN1, DEN2, DEN3, DEN4, Zika, Rio Bravo (RB) and TBE viruses. (a) Sample DZ1; (b) sample DZ2. Solid line: cut-off.

As shown in Figure 3, the two samples yielded a strong IgM signal with sEs from Zika and only one dengue serotype, without significant reactivity to the sEs of the other dengue serotypes, TBE and Rio Bravo viruses. Unfortunately, the samples from both patients were collected too late for virus identification by PCR.

3.3. IgG Patterns of Selected Dengue and Zika Patients

Since most of the Zika and dengue patients had previous flavivirus vaccinations (Table 3 and Table 4), we also analyzed the cross-reactivity patterns of IgG antibodies of a subset of 12 Zika and 8 dengue patients. The selection was based on the availability of sufficient sample volume. We determined IgG titers by ELISAs with the sE antigen corresponding to the infecting virus (Zika or the identified dengue serotype), as well as Rio Bravo and TBE sE. As shown in Figure 4, each of the samples yielded virtually the same titer with the different antigens, indicating the dominance of broadly flavivirus cross-reactive IgG antibodies in these sera.

Figure 4.

Figure 4

IgG ELISAs with sE antigens from different flaviviruses. Samples from 12 Zika (a) and 8 dengue (b) patients with pre-existing TBE immunity were analyzed with the sE of the corresponding infecting virus (Zika, turquoise circles in (a); dengue, light red circles in (b)) as well as Rio Bravo (grey circles) and TBE sE (blue circles). (a) Serum samples Z1, Z3, Z5, Z6, Z7, Z8, Z9, Z10, Z12, Z14, Z15, and Z16 from Table 3. (b) Serum samples D1, D2, D3, D5, D6, D7, D9, and D12 from Table 4. ANOVA revealed no significant differences between IgG titers obtained with the homologous and heterologous antigens.

4. Discussion

In this study, we show that a newly developed E-complex capture IgM assay allows a highly specific serodiagnosis of flavivirus infections. The response was type-specific for the infecting virus in the case of TBE and Zika virus infections, without detectable broadly flavivirus cross-reactive IgM antibodies. In contrast, substantial amounts of such IgM antibodies were found in dengue virus infections, as determined by their reactivity with the distantly related Rio Bravo virus E protein (Figure 1 and Figure 2). These results indicate substantial differences in the presentation of conserved epitopes in courses of infection with dengue, Zika and TBE viruses. Broadly flavivirus cross-reactive antibodies mainly target a highly conserved region in the E protein, the so-called fusion loop, which is buried in the homodimeric structure of E at the dimer interface (Figure 5) (reviewed in [18]). A number of studies have shown that this region can become more exposed by dynamic motions of the E proteins on the virus surface (“viral breathing”) and is also presented in partially immature virions [18,19]. Our data suggest that in the course of dengue virus infections the fusions loops might be more exposed, and therefore higher amounts of broadly cross-reactive antibodies are induced than during infections with Zika and TBE viruses.

Figure 5.

Figure 5

Surface representation of the Zika virus sE dimer in a top view. (a) The two monomers are shown in light and dark gray, the highly conserved fusion loops in light and dark orange, respectively. (b) Surface-exposed residues that differ between DEN1-4, Zika, Rio Bravo and TBE viruses highlighted in blue. (c) Surface-exposed residues that differ between DEN1-4 viruses highlighted in blue. Amino acid sequences of E proteins of the different flaviviruses listed in Table 1 were aligned with MUSCLE (https://www.ebi.ac.uk/Tools/msa/muscle/, accessed on 16 February 2021). The image was prepared with PyMol using the Protein data bank (PDB) files 6CO8 [20] and 1OAN [21].

Despite the induction of substantial amounts of cross-reactive IgM antibodies in dengue virus infections, differentiation from Zika virus infections (co-circulating in the regions from which the travelers returned) was possible in all cases analyzed (Figure 2). As expected from the closer sequence and antigenic relationship, the extent of cross-reactivity was higher within the dengue serocomplex than in other flaviviruses. The direct and parallel quantitative comparison of reactivities with all four dengue virus antigens, however, even allowed determination of the infecting serotype in 15 out of 16 cases (Figure 2). The high specificity of the assay also made identification of a potential double infection with Zika and dengue viruses possible (Figure 3). Such double infections might occur in regions where several flaviviruses co-circulate and/or through travel activities to regions endemic for different flaviviruses. Indeed, both of the two patients with the dengue/Zika pattern had a corresponding travel history to Central America and the Caribbean, respectively (Figure 3).

Notably, the patterns of IgM cross-reactivity after dengue virus infections are quite divergent and apparently subject to strong individual variation (Figure 2). Some patients developed mostly IgM antibodies specific for the infecting dengue serotype (e.g., Figure 2a sample D6, Figure 2b sample D10, Figure 2c sample D1) with no detectable cross-reactivity, similar to what was seen in Zika and TBE patients (Figure 1a,b); others developed more and different specificities of cross-reactive antibodies (e.g., Figure 2a sample D5, Figure 2e). Detailed molecular studies have shown that even small structural changes such as point mutations in E can strongly affect the heterogeneity of dengue virus particles and their breathing behavior [22]. The IgM reactivity patterns observed might therefore be a result of infections with different dengue virus strains that exhibit varying degrees of fusion loop exposure. Considering the travel history of the dengue patients to destinations where dengue serotypes co-circulate, we cannot rule out effects of multiple infections on IgM cross-reactivity patterns. However, these are less likely to occur in short-time travelers than in people living permanently in these areas.

Dengue serotyping by IgM assays was also reported in previous studies, and it was found to be more reliable in the case of primary than secondary dengue virus infections [23,24,25,26,27]. Our serum samples were from Austrian travelers, and thus they all were most likely primary dengue virus infections. Of the 16 cases, only one could not be serotyped, but this patient also had the highest amount of broadly flavivirus cross-reactive IgM antibodies, as revealed by the reactivity with Rio Bravo virus E (Figure 2e). Future studies should therefore address analysis of IgM patterns in sequential samples from primary and secondary dengue virus infections. The induction of high amounts of broadly cross-reactive antibodies might be induced by infecting strains with a strong propensity of breathing and/or particle heterogeneity [18,19], favored by co- or sequential infections with different dengue virus strains in endemic regions [28]. Several studies suggest a diversity in the memory B-cell population, showing that these cells cannot only express IgG, but also IgM antibodies [29,30]. IgM memory might thus also play a role and contribute to a lower reliability of serotyping in secondary dengue virus infections.

The importance of serological assays for the correct diagnosis of flavivirus infections, in particular IgM tests, is underlined by the fact that molecular techniques of virus detection in the blood are limited to the acute viremic phase, which is often missed at the time of first analysis [5]. In the case of TBE virus, neurological symptoms occur two to three weeks after infection, and this is the time point when people usually seek medical advice. Therefore, PCR plays virtually no role in the laboratory diagnosis of TBE (Table S1). Detection of viral RNA is more important for the diagnosis of dengue and Zika virus infections. However, travelers returning from endemic regions to Central Europe contact physicians relatively late, mostly when symptoms worsen, and PCR very often already yields negative results in these cases. Consistent with this notion, only ~11% and 23% of the Zika and dengue cases were diagnosed by PCR at our institution (Table S1). This situation underlines the importance of specific serological assays. Especially in the case of dengue virus infections, the presence of broadly cross-reactive IgM antibodies may lead to false interpretations, unless a comprehensive and quantitative analysis is performed with relevant flaviviruses.

Acknowledgments

We thank Jutta Hutecek, Silvia Schwödiauer, Cornelia Hell, Andrea Reiter, Amelie Popovitsch, and Walter Holzer for excellent technical assistance.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/v13040596/s1, Table S1: Molecular diagnosis of TBE, Zika and dengue at the Center for Virology, Medical University of Vienna, Austria, 2016–2019.

Author Contributions

Conceptualization, K.S. and F.X.H.; methodology, K.S. and F.X.H.; formal analysis, K.S. and F.X.H.; investigation, K.S., S.M., S.W.A., I.M., G.T.; resources, S.W.A., J.H.A., H.H.; writing—original draft preparation, K.S. and F.X.H.; writing—review and editing, all authors; visualization, K.S.; supervision, K.S. and F.X.H.; project administration, K.S. and F.X.H.; funding acquisition, K.S. All authors have read and agreed to the published version of the manuscript.

Funding

The research was funded by the Austrian Science Fund FWF, grant number P29928-B30 to K.S. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

Institutional Review Board Statement

The studies were approved by the ethics committee of the Medical University of Vienna (EK number 1184/2020). Only leftover anonymized samples from routine laboratory diagnosis were used in this retrospective study. No sample was specifically collected for this study.

Informed Consent Statement

Patient consent was not necessary due to the use of leftover diagnostic samples in anonymized form.

Data Availability Statement

Data are contained within the article or supplementary material.

Conflicts of Interest

K.S. and F.X.H. are inventors on a patent of the Medical University of Vienna on flavivirus serodiagnosis. All other authors declare no conflict of interest with this work.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Pierson T.C., Diamond M.S. The continued threat of emerging flaviviruses. Nat. Microbiol. 2020;5:796–812. doi: 10.1038/s41564-020-0714-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kubinski M., Beicht J., Gerlach T., Volz A., Sutter G., Rimmelzwaan G.F. Tick-Borne Encephalitis Virus: A Quest for Better Vaccines against a Virus on the Rise. Vaccines. 2020;8:451. doi: 10.3390/vaccines8030451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Pierson T.C., Diamond M.S. Flaviviruses. In: Knipe D.M., Howley P.M., Cohen J.I., Griffin D.E., Lamb R.A., Martin M.A., Racaniello V.R., Roizman B., editors. Fields Virology. 6th ed. Lippincott Williams & Wilkins; Philadelphia, PA, USA: 2013. pp. 747–794. [Google Scholar]
  • 4.Musso D., Despres P. Serological Diagnosis of Flavivirus-Associated Human Infections. Diagnostics. 2020;10:302. doi: 10.3390/diagnostics10050302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kerkhof K., Falconi-Agapito F., Van Esbroeck M., Talledo M., Ariën K.K. Reliable Serological Diagnostic Tests for Arboviruses: Feasible or Utopia? Trends Microbiol. 2020;28:276–292. doi: 10.1016/j.tim.2019.11.005. [DOI] [PubMed] [Google Scholar]
  • 6.Rathore A.P.S., St John A.L. Cross-Reactive Immunity among Flaviviruses. Front. Immunol. 2020;11:334. doi: 10.3389/fimmu.2020.00334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Drosten C., Göttig S., Schilling S., Asper M., Panning M., Schmitz H., Günther S. Rapid detection and quantification of RNA of Ebola and Marburg viruses, Lassa virus, Crimean-Congo hemorrhagic fever virus, Rift Valley fever virus, dengue virus, and yellow fever virus by real-time reverse transcription-PCR. J. Clin. Microbiol. 2002;40:2323–2330. doi: 10.1128/JCM.40.7.2323-2330.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Faye O., Faye O., Diallo D., Diallo M., Weidmann M., Sall A.A. Quantitative real-time PCR detection of Zika virus and evaluation with field-caught mosquitoes. Virol. J. 2013;10:311. doi: 10.1186/1743-422X-10-311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Fonseca V., Libin P.J.K., Theys K., Faria N.R., Nunes M.R.T., Restovic M.I., Freire M., Giovanetti M., Cuypers L., Nowé A., et al. A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes. PLoS Negl. Trop. Dis. 2019;13:e0007231. doi: 10.1371/journal.pntd.0007231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Stiasny K., Aberle J.H., Chmelik V., Karrer U., Holzmann H., Heinz F.X. Quantitative determination of IgM antibodies reduces the pitfalls in the serodiagnosis of tick-borne encephalitis. J. Clin. Virol. 2012;54:115–120. doi: 10.1016/j.jcv.2012.02.016. [DOI] [PubMed] [Google Scholar]
  • 11.Malafa S., Medits I., Aberle J.H., Aberle S.W., Haslwanter D., Tsouchnikas G., Wölfel S., Huber K.L., Percivalle E., Cherpillod P., et al. Impact of flavivirus vaccine-induced immunity on primary Zika virus antibody response in humans. PLoS Negl. Trop. Dis. 2020;14:e0008034. doi: 10.1371/journal.pntd.0008034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Bradt V., Malafa S., von Braun A., Jarmer J., Tsouchnikas G., Medits I., Wanke K., Karrer U., Stiasny K., Heinz F.X. Pre-existing yellow fever immunity impairs and modulates the antibody response to tick-borne encephalitis vaccination. NPJ Vaccines. 2019;4:38. doi: 10.1038/s41541-019-0133-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Barba-Spaeth G., Dejnirattisai W., Rouvinski A., Vaney M.-C., Medits I., Sharma A., Simon-Lorière E., Sakuntabhai A., Cao-Lormeau V.-M., Haouz A., et al. Structural basis of potent Zika–dengue virus antibody cross-neutralization. Nature. 2016;536:48–53. doi: 10.1038/nature18938. [DOI] [PubMed] [Google Scholar]
  • 14.Vratskikh O., Stiasny K., Zlatkovic J., Tsouchnikas G., Jarmer J., Karrer U., Roggendorf M., Roggendorf H., Allwinn R., Heinz F.X. Dissection of antibody specificities induced by yellow fever vaccination. PLoS Pathog. 2013;9:e1003458. doi: 10.1371/journal.ppat.1003458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Koblischke M., Spitzer F.S., Florian D.M., Aberle S.W., Malafa S., Fae I., Cassaniti I., Jungbauer C., Knapp B., Laferl H., et al. CD4 T Cell Determinants in West Nile Virus Disease and Asymptomatic Infection. Front. Immunol. 2020;11:16. doi: 10.3389/fimmu.2020.00016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Stiasny K., Holzmann H., Heinz F.X. Characteristics of antibody responses in tick-borne encephalitis vaccination breakthroughs. Vaccine. 2009;27:7021–7026. doi: 10.1016/j.vaccine.2009.09.069. [DOI] [PubMed] [Google Scholar]
  • 17.Holzmann H., Kundi M., Stiasny K., Clement J., McKenna P., Kunz C., Heinz F.X. Correlation between ELISA, hemagglutination inhibition, and neutralization tests after vaccination against tick-borne encephalitis. J. Med. Virol. 1996;48:102–107. doi: 10.1002/(SICI)1096-9071(199601)48:1<102::AID-JMV16>3.0.CO;2-I. [DOI] [PubMed] [Google Scholar]
  • 18.Rey F.A., Stiasny K., Vaney M.C., Dellarole M., Heinz F.X. The bright and the dark side of human antibody responses to flaviviruses: Lessons for vaccine design. EMBO Rep. 2018;19:206–224. doi: 10.15252/embr.201745302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Dowd K.A., Pierson T.C. The Many Faces of a Dynamic Virion: Implications of Viral Breathing on Flavivirus Biology and Immunogenicity. Annu. Rev. Virol. 2018;5:185–207. doi: 10.1146/annurev-virology-092917-043300. [DOI] [PubMed] [Google Scholar]
  • 20.Sevvana M., Long F., Miller A.S., Klose T., Buda G., Sun L., Kuhn R.J., Rossmann M.G. Refinement and Analysis of the Mature Zika Virus Cryo-EM Structure at 3.1 Å Resolution. Structure. 2018;26:1169–1177.e3. doi: 10.1016/j.str.2018.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Modis Y., Ogata S., Clements D., Harrison S.C. A ligand-binding pocket in the dengue virus envelope glycoprotein. Proc. Natl. Acad. Sci. USA. 2003;100:6986–6991. doi: 10.1073/pnas.0832193100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Dowd K.A., DeMaso C.R., Pierson T.C. Genotypic Differences in Dengue Virus Neutralization Are Explained by a Single Amino Acid Mutation That Modulates Virus Breathing. mBio. 2015;6:e01559-15. doi: 10.1128/mBio.01559-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Burke D. Rapid Methods in the Laboratory Diagnosis of Dengue Virus Infections, Proceedings of the International Conference on Dengue/Dengue Hemorrhagic Fever. University of Malaya; Kuala Lumpur, Malaysia: 1983. [Google Scholar]
  • 24.Nawa M., Yamada K.-I., Takasaki T., Akatsuka T., Kurane I. Serotype-cross-reactive immunoglobulin M responses in dengue virus infections determined by enzyme-linked immunosorbent assay. Clin. Diagn. Lab. Immunol. 2000;7:774–777. doi: 10.1128/CDLI.7.5.774-777.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Shu P.-Y., Chen L.-K., Chang S.-F., Su C.-L., Chien L.-J., Chin C., Lin T.-H., Huang J.-H. Dengue virus serotyping based on envelope and membrane and nonstructural protein NS1 serotype-specific capture immunoglobulin M enzyme-linked immunosorbent assays. J. Clin. Microbiol. 2004;42:2489–2494. doi: 10.1128/JCM.42.6.2489-2494.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zidane N., Dussart P., Bremand L., Bedouelle H. Cross-reactivities between human IgMs and the four serotypes of dengue virus as probed with artificial homodimers of domain-III from the envelope proteins. BMC Infect. Dis. 2013;13:302. doi: 10.1186/1471-2334-13-302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rockstroh A., Barzon L., Kumbukgolla W., Su H.X., Lizarazo E., Vincenti-Gonzalez M.F., Tami A., Ornelas A.M.M., Aguiar R.S., Cadar D., et al. Dengue Virus IgM Serotyping by ELISA with Recombinant Mutant Envelope Proteins. Emerg. Infect. Dis. 2019;25:1111–1115. doi: 10.3201/eid2501.180605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Guo C., Zhou Z., Wen Z., Liu Y., Zeng C., Xiao D., Ou M., Han Y., Huang S., Liu D., et al. Global epidemiology of dengue outbreaks in 1990–2015: A systematic review and meta-analysis. Front. Cell. Infect. Microbiol. 2017;7:317. doi: 10.3389/fcimb.2017.00317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Weisel F., Shlomchik M. Memory B cells of mice and humans. Annu. Rev. Immunol. 2017;35:255–284. doi: 10.1146/annurev-immunol-041015-055531. [DOI] [PubMed] [Google Scholar]
  • 30.Burton B.R., Tennant R.K., Love J., Titball R.W., Wraith D.C., White H.N. Variant proteins stimulate more IgM+ GC B-cells revealing a mechanism of cross-reactive recognition by antibody memory. eLife. 2018;7:e26832. doi: 10.7554/eLife.26832. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

Data are contained within the article or supplementary material.


Articles from Viruses are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES