Abstract
Chikungunya virus (CHIKV) vertical transmission occurs due to maternal viremia in the prepartum. Clinical presentation in neonates can be varied; however, the consequences of intrauterine exposure on the immune response are unclear. Thus, we aimed to analyze inflammatory alterations in children exposed to maternal CHIKV infection. This is a cross-sectional study that included children exposed to maternal CHIKV infection (confirmed by RT-qPCR and/or IgM). Circulant immune mediators were analyzed by a multiplex assay. RESULTS: We included 33 children, with a mean age of 3 ± 2.9 months-old, and 19 (57.6%) were male. Only one child presented neurological alterations. CHIKV-exposed infants showed elevated levels of MIP-1α, MIP-1β, and CCL-2 (p < 0.05). Pro-inflammatory cytokines such as TNFα, IL-6, and IL-7 (p < 0.0001) were also increased. In addition, lower levels of PDGF-BB and GM-CSF were observed in the same group (p < 0.0001). Principal component (PC) analysis highlighted a distinction in the inflammatory profile between groups, where PC explained 56.6% of the alterations. Our findings suggest that maternal exposure to CHIKV can affect the circulating levels of pro-inflammatory cytokines during the infants’ first year of life. The long-term clinical consequences of these findings should be investigated.
Keywords: Chikungunya, inflammation, maternal
1. Introduction
Chikungunya virus (CHIKV) is an Alphavirus of the Togaviridae family, approximately 70 nm in diameter. Its genetic material is composed of positive-sense single-stranded RNA with 11–12kb and has the hematophagous arthropods Aedes Aegypti and Albopictus as vectors [1,2]. Chikungunya fever (CHIKVF) quickly became endemic in Latin America, becoming an important public health problem. In Brazil, climatic and sanitary conditions facilitate Aedes spp. proliferation and, consequently, the spread of arboviruses [1,3]. Between 2014 and 2021, more than 1 million cases were reported in Brazil [4]. Published data shows that case fatality rate is approximately 2–5% [5,6].
CHIKV genome has two open reading frames (ORFs). The 5′ ORF encodes four non-structural proteins (nsP1, nsP2, nsP3 and nsP4) and the 3′ encodes four structural proteins (E1, E2, E3, C) [2]. The E2 subunit of the E protein promotes viral entry into host cells by mainly binding with the Mxra8 receptor and inducing a clathrin-mediated endocytosis. Mxra8 is a cell receptor that enhances the ability of CHIKV and other Alphaviruses to infect skeletal muscle cells and fibroblasts, being strongly associated with musculoskeletal pathogenesis [7,8]. Asian, East/Central/South African (ECSA) and West African are the main genotypes of CHIKV that differ from one other in the E protein expression. In addition, a lineage descended from ECSA was identified: ECSA derived Indian Ocean lineage (IOL) [9]. Through phylogenetic analysis and molecular characterization of CHIKV representative strains, Alves-Souza and colleagues (2018) demonstrated the ECSA genotype circulation in Rio de Janeiro (RJ)-Brazil [10].
Clinical presentation can vary according to patient’s characteristics [11]. CHIKV infection can lead to acute and chronic symptoms with debilitating arthralgia and myalgia for months or years. Notably, disease severity is strongly associated with viral persistence in cells such as monocytes, which leads to the establishment of a proinflammatory state [12]. In this regard, an exacerbated production of pro-inflammatory mediators such as interleukins (IL) -6, -1β, tumor necrosis factor α (TNF-α), and monocyte chemo-attractant protein-1 (MCP-1) has been reported at different stages of the disease [13].
Other forms of CHIKV propagation have been described, including vertical transmission [14]. In pregnant women, CHIKV infection is not associated with fetal teratogenic effects; however, the higher risk of vertical transmission in the prepartum (7 days before birth) can lead to clinical manifestations in up to 90% of cases [14,15]. The newborns present low viremia or undetectable viral load at birth, although they may develop post-birth symptoms such as fever, rash, irritability, as well as central nervous system (CNS) complications [16,17]. In this context, many studies have described CHIKV in pediatric cohorts with autochthonous infection, but little is known about the effects of intrauterine exposure.
Thus, since disturbances in the maternal inflammatory status may directly affect fetal development through the vertical transfer of hormones, cytokines, chemokines, and chimeric cells [18]; we sought to investigate the inflammatory milieu of infants exposed to maternal CHIKV in association with clinical events. For this, our study focused on the assessment of circulating levels of immune mediators, in addition to clinical-laboratory parameters, during the clinical follow-up of these children.
2. Materials and Methods
2.1. Study Design and Data Collection
This study was approved by the National Research Ethics Commission (CONEP, Brazil; CAAE: 56913416.9.0000.5243) and was conducted according to the Helsinki declaration. All study procedures were performed after obtaining written consent from the children’s parents.
We conducted a cross-sectional study at the Exanthematic Disease Unit of the Hospital Universitário Antônio Pedro (HUAP, Niterói, Brazil) from March 2017 to March 2019. Mothers who presented cutaneous rash during pregnancy and their children were examined by a multidisciplinary team [19]. Maternal CHIKV infection was confirmed by molecular (real-time reverse transcription–polymerase chain reaction-RT-PCR) and/or serology (IgM) assays, which were performed at the reference laboratory of Rio de Janeiro State, Central Public Health Laboratory Noel Nutels (LACEN, Rio de Janeiro, Brazil) [20,21].
2.2. Patients
This study included infants intrauterine exposed to maternal infection by CHIKV (CHIKV group). In the control group (CTR), we included children whose mothers presented cutaneous rash during pregnancy and negative RT-qPCR results or serology for arbovirus infection (CHIKV, Zika-ZIKV and dengue-DENV) and others congenital diseases (syphilis, toxoplasmosis, rubella, cytomegalovirus, and HIV infection). Moreover, we evaluated patients according to age groups: newborns (up to 28 days-old), 1–3 months-old, >3–6 months-old, and >6–12 months-old.
2.3. Blood Sampling
For biochemical and hematological analysis, venous blood samples were collected in BD Vacutainer® blood collection tubes with serum coagulation activator (Becton Dickson, NJ, USA) and BD Vacutainer® with EDTA K2 anticoagulant (Becton Dickson, NJ, USA) to obtain serum and plasma, respectively. For the analysis of circulating immune mediators, serum was obtained by centrifugation (1210× g/10 min) at room temperature using the LS-3 Centrifuge® (Celm, São Paulo, Brazil) and immediately stored at −80 °C until the experiments were carried out. All serology, biochemical and hematological tests were performed by the Service of Clinical Pathology (HUAP, UFF, Niterói, Brazil).
2.4. Multiplex Immunoassay
The Bio-Plex Magpix commercial kit (Biorad Laboratories Inc., Hercules, CA, USA) was used for assessing serum levels of immune mediators following the manufacturer’s recommendations. The magnetic “xMAP” technology allows the detection of 27 different circulating proteins based on microspheres. The following mediators were quantified: (i) chemokines = monocyte chemoattractant protein1 (MCP-1/CCL-2), macrophage inflammatory protein 1a (MIP-1a/CCL-3), inflammatory macrophage protein 1β (MIP-1β/CCL-4), linker 5 of the chemokine C-C RANTES (CCL-5), ligand 11 of the protein C-C Eotaxin (CCL-11), protein induced by interferon-γ 10 (IP-10/CXCL-10), include chemokine (C-X-C motif) ligand 8 (CXCL-8); (ii) growth factors = granulocyte-macrophage colony stimulating factor (G-CSF/CSF-2), granulocyte colony stimulating factor (G-CSF/CSF-3), basic fibroblast growth factor (FGFb), platelet-derived growth factor BB (PDGF-BB), vascular endothelial growth factor (VEFG); (iii) cytokines = interferon-γ (IFN-γ), interleukin 1 receptor antagonist (IL-Ra); interleukins (IL) 1β, -2, -4, -5, -6, -7, -9, -10, -12p70, -13, -15, -17 and tumor necrosis factor-ɑ (TNF-ɑ).
2.5. Detection of Anti-CHIKV IgM and IgG Antibodies
CHIKV specific IgM and IgG immunoglobulins were semi-quantified in serum samples from infants intrauterine exposed to maternal CHIKV infection. The capture ELISAs assay were performed following the manufacturer’s protocol (Euroimmun, Lubeck, germany). Optical densities (ODs) were obtained according to the manufacturer’s instructions and the results were calculated in a semi-quantitative fashion using a ratio of samples ODs (or controls) divided by the calibrator’s OD. Samples with a result ≥ 1.1 were considered positive, as recommended by the manufacturer.
2.6. Statistical Analysis
Data was expressed as mean ± standard deviation (SD). For bivariate analysis between two independent groups, t-student or Mann–Whitney tests were used according to variable’s distribution. Analysis between three or more independent groups was performed by ANOVA or Kruskal–Wallis, with respective post-tests. We used the Statistical Package for the Social Sciences (SPSS Inc., Chicago, IL, USA) version 18.0 and GraphPad Prism version 8.0 (GraphPad Prism, San Diego, CA, USA) for statistical analysis. Values of p < 0.05 were considered significant.
To assess the population pattern and verify the interrelationship between the mediators, we performed a Principal Component Analysis (PCA). Data were analyzed using the Soft Independent Modelling by Class Analogy version 17.0 (SIMCA). Hotelling’s ellipse represents the 95% confidence interval and statistical significance follows the Rz rule. The R2x values represent the explanation rate of the variables by the modeling of the principal components.
3. Results
3.1. Study Population Characteristics
From March 2017 to March 2019, 33 children exposed to maternal CHIKV infection were recruited. In addition, 14 infants were included in the CTR group. The frequency of males was slightly higher in both groups (around 57%). Two infants (6.1%) in the CHIKV group had clinical abnormalities: one (3%) presented neurodevelopmental delay and one (3%) presented postnatal sepsis. Audiological, ophthalmological, or cardiac abnormalities were not identified in any infants. Regarding the mother’s clinical presentation, maternal rash occurred more frequently in the third trimester (n = 14; 42.4%) in the CHIKV group. Arthralgia and myalgia were described in all cases of maternal CHIKV infection (p < 0.0001) and fever was reported in 26 cases (78.8%). None of the pregnant women in the CTR group presented joint pain; but four (28.6%) had myalgia. Demographic and clinical data of mothers and their children are described on Table 1.
Table 1.
Clinical Features | CHIK (n = 33) |
Control (n = 14) |
p-Value |
---|---|---|---|
Infants, n (%) | |||
Age (months. mean ± SD) | 3.0 ± 2.9 | 9.9 ± 7.2 | <0.0001 |
Male Gender | 19 (57.0) | 8 (57.1) | >0.9 |
Postnatal sepsis | 1 (3.03) | 0 (0) | 0.9 |
Neurodevelopment disorders | 1 (3.03) | 0 (0) | 0.9 |
Mothers, n (%) | |||
Age (year. mean ± SD) | 26.8 ± 5.6 | 29.9 ± 6.2 | >0.9 |
Time of maternal rash | |||
1th Trimester | 6 (18.2) | 3 (21.4) | 0.7 |
2nd Trimester | 13 (39.4) | 6 (42.8) | 0.7 |
3rd Trimester | 14 (42.4) | 5 (35.7) | >0.9 |
Clinical symptoms | |||
Fever | 26 (78.8) | 7 (50) | 0.08 |
Myalgia | 33 (100) | 4 (28.6) | <0.0001 |
Arthralgia | 33 (100) | 7 (50) | <0.0001 |
Chi-square test were results of results of p-value less than 0.05. SD = Standard Deviation.
When analyzing biochemical and hematological parameters, we did not observe significant alterations between CHIKV and CTR, except for serum C-reactive protein (p = 0.02). However, we identified that CHIKV patients presented a slight increase in serum ferritin (214.3 ± 219.0 vs. 89.5 ± 58.1), total bilirubin (1.5 ± 2.2 vs. 0.3 ± 0.1), indirect bilirubin (1.4 ± 2.1 vs. 0.2 ± 0.1), alanine aminotransferase (51.4 ± 46.1 vs. 41.1 ± 11.5) and aspartate aminotransferase (36.9 ± 46.0 vs. 25.1 ± 9.4) (Table 2).
Table 2.
Parameters | Reference Range | CHIK (n = 33) |
Control (n = 14) |
p-Value |
---|---|---|---|---|
Alanine aminotransferase (U/L) | 14.0–50.0 | 51.4 ± 46.1 | 41.1 ± 11.5 | 0.9 |
Aspartate aminotransferase (U/L) | 15.0–37.0 | 36.9 ± 46.0 | 25.1 ± 9.4 | 0.3 |
Total Bilirrubin (mg/dL) | 0.2–1.0 | 1.5 ± 2.2 | 0.3 ± 0.1 | 0.2 |
Direct Bilirrubin (mg/dL) | > 0.3 | 0.2 ± 0.1 | 0.1 ± 0.07 | 0.7 |
Indirect Bilirrubin (mg/dL) | - | 1.4 ± 2.1 | 0.2 ± 0.1 | 0.06 |
Ferritin (ng/dL) | 26–388.0 | 214.3 ± 219.0 | 89.5 ± 58.1 | 0.1 |
C-reactive Protein (mg/dL) | 0.1–1 | 0.4 ± 0.1 | 0.1 ± 0.08 | 0.02 |
Lactate dehydrogenase (U/L) | 85.0–227.0 | 327.2 ± 81.3 | 375.5 ± 173.9 | 0.5 |
Hemoglobin (g/dL) | 11.0–14.0 | 11.8 ± 1.9 | 11.4 ± 3.3 | 0.05 |
Hematocrit (%) | 33.0–39.0 | 35.2 ± 5.4 | 34.8 ± 9.0 | 0.1 |
Platelets (103/mm3) | 150.0–400.0 | 400.6 ± 166.4 | 477.2 ± 162.3 | 0.1 |
White blood cell count (103/mm3) | 5.0–17.0 | 11.1 ± 5.2 | 11.8 ± 4.6 | 0.8 |
Neutrophils | 1–7 | 3.6 ± 1.9 | 3.7 ± 2.2 | 0.7 |
Lymphocytes | 3.5–11 | 5.8 ± 1.9 | 5.4 ± 1.4 | 0.9 |
Monocytes | 0.2–1 | 0.7 ± 0.4 | 0.9 ± 0.4 | 0.2 |
Eosinophils | 0.1–1 | 0.3 ± 0.2 | 0.3 ± 0.1 | 0.2 |
Statistical analysis: Student’s t-test or Mann–Whitney test. Data are presented as mean ± SD. p-values < 0.05 were considered significant.
Regarding the serological parameters, we observed that all infants, both exposed to maternal CHIKV infection and CTR, did not present detectable CHIKV-specific IgM in the postnatal period. Of the 32 children evaluated in the CHIKV group, 25 (78.1%) were IgG+ and 7 (21.9%) were IgG−. Among the IgG− cases, four (12.5%) pregnant women were exposed in in the prepartum period.
3.2. Analysis of Circulant Inflammatory Mediators
As demonstrated in Figure 1, the analysis of circulating immune mediators showed that significantly increased levels of pro-inflammatory cytokines such as TNF-α (p < 0.0001), IFN-γ (p = 0.002), IL-6 (p < 0.0001), and IL-12p70 (p < 0.0001); and anti-inflammatory cytokines such as IL-1Ra (p < 0.0001), IL-4 (p < 0.0001), IL-10 (p < 0.0001), and IL-17A (p < 0.0001) were observed in CHIKV group. Increased CCL-3 (p < 0.0001), CCL-4 (p = 0.0004), CXCL-8 (p = 0.0002), and decreased CXCL-10 (p < 0. 0001) and CCL-11 (p < 0.0001) were also observed in the same group. Among the growth factors, concentrations of VEGF (p = 0.0162) and G-CSF (p < 0.0001) were also higher in the CHIKV group. On the other hand, GM-CSF (p < 0.0001) and PDGF-BB (p < 0.0001) were significantly lower. Of note, serum levels of five cytokines (IL-1β, IL-2, IL-7, IL-9 and IL-15) were below the lower detection limit in all infants and were not analyzed (Figure 1).
3.3. Principal Component Analysis (PCA) Shows the Relationship between Immune Mediators between Groups and According to Age and Gender
For the assessment of a possible influence of age and gender on circulating immune mediators in the CHIKV group, we used the PCA. As shown in Figure 2, there was no clear segregation between groups by age and gender. Moreover, we used PCA to observe patterns of inflammatory mediators between groups (CHIKV and CTRL). Confirming our data, the groups are distinct, as shown in Figure 3. We highlighted the mediators that best explain the variations by accumulated variables R2X (R2Xcum) and the mediators with greater predictability by the reliability index accumulated variables (Q2cum). IL-1Ra, TNF-α and IL-12 contributed to PC1 in children exposed to maternal CHIKV while in control group eotaxin and PDGF-BB influences in the PC2 analysis. R2X explained 54.8% of the alterations observed in the groups. In this sense, IL-1Ra (Q2VXcum = 0.64), IL-12p70 (Q2VXcum = 0.73) and PDGF-BB (Q2VXcum= 0.58) presented the best values of reliability.
4. Discussion
Our findings showed an altered peripheral inflammatory profile in children exposed to maternal CHIKV infection. The impact of intrauterine exposure to maternal CHIKV infection is still unclear. It is known that congenital infectious diseases such as HIV, Influenza A and B, Herpes Simplex 1 and 2 can increase the risk of developing neurological alterations in the newborns, which can be associated with an immunological imbalance [18,22]. The first signs can appear at two years of age or even in adulthood; thus, monitoring possible hematological, biochemical and immunological changes due to viral infections in the first years of children exposed to maternal CHIKV can elucidate possible consequences in this particularly vulnerable population to inflammatory changes [18,23,24].
Concerning the analysis of inflammatory mediators, we observed that children in the CHIKV group presented higher levels of pro-inflammatory cytokines such as TNF-α, IL-6, and IFN-γ. These cytokines have distinct roles during neurodevelopment, inhibiting the proliferation and differentiation of neuronal cells [25,26]. In contrast, IFN-γ and IL-12p70 promote a neuroprotective role during fetal and infant development [22,26]. TNF-α is linked to neuroinflammation and, in high concentrations, has a neurotoxic and neurodegenerative capacity [26]. Moreover, TNF-α, IL-6, IL-1β, IFN-γ are also related to insulin resistance in the pediatric population [27]. Children in the CHIKV group also presented higher serum levels of chemokines, such as CXCL-8, MIP-1a and MIP-1b. Despite being constitutively produced, CXCL-8 is a potent chemokine that acts in chemotaxis, the regulation of apoptosis and the migration of neuronal cells [28,29,30]. Early or prenatal exposure to high levels of CXCL8 is associated with an increased risk for psychosis in adulthood [30]. The role of MIP-1a and MIP-1b in this phase remains uncertain, but MIP-1a has been reported to have a neuroprotective role when induced by umbilical cord monocytes [30]. Interestingly, children with vertically transmitted ZIKV infection presenting microcephaly showed elevated CXCL-10 levels and CXCL-9 in cerebrospinal fluid obtained after birth; however, in our study, only CXCL-10 concentrations were decreased [31]. Moreover, CXCL-10 in acute CHIKV and DENV infections are associated with neuroinvasive capacity and neuronal damage [32,33]. Eotaxin can inhibit the proliferation of neuronal progenitor cells [34]. Associated with other mediators such as IL-3, IL-1β; eotaxin was considered as a differential marker in children exposed in utero to ZIKV, born with or without microcephaly [35]. Low levels of CXCL10 and eotaxin observed in children exposed to maternal CHIKV infection may be associated with an infrequent neurological damage [32]. In fact, only one child exposed to maternal CHIKV infection presented alterations in the neurological clinical evaluation. Maybe it is necessary a direct contact with the virus in the gestational period to trigger neurological damage, or it could be revealed later in the child’s development.
We also identified elevated levels of anti-inflammatory cytokines in the CHIKV group, which could be a possible counter-regulatory mechanism in response to increased pro-inflammatory cytokines. A Th2 profile response (IL-4, IL-10, IL-13) in cases of CHIKV infection is associated with symptoms in the subacute phase (>14 days) and late resolution of musculoskeletal symptoms [36]. The strong activation of Th2 response in children, associated with other factors, is related to cases of atopic dermatitis. In topical dermatitis in infants, Th2 activation is accompanied by strong activation of the Th17 response [37]. Furthermore, the increase in IL-10 and other anti-inflammatory cytokines in the pediatric population is related to the development of allergic diseases such as rhinitis and asthma [38].
Recent studies reported that inflammatory disorders during the gestational period increase the risk of developmental changes during early childhood. Alterations can occur either by the vertical transfer of cells and inflammatory mediators that act systemically in the infant’s body for months or years or by changes in the epigenetic mechanisms of fetal programming, under the influence of the inflammatory microenvironment [18,39,40]. In addition, the transfer of immune mediators such as IL-10, MIP-1a, MIP-b, IL-1Ra and IL-4 can be promoted by placental extracellular vesicles [41]. Altogether, these data reinforce the importance of long-term clinical and laboratory follow-up of children presenting changes in the inflammatory milieu due to maternal viral infections, even in the absence of clinical abnormalities in the first year of life. The real impacts of the pro-inflammatory unbalance and exacerbation effect in this population will only be elucidated in the coming years when following the child’s development.
Nevertheless, we observed one case (3.03%) of vertical CHIKV transmission, confirmed by positive RT-qPCR test in cerebrospinal fluid (data not shown). After the birth, the child developed encephalopathy and postnatal sepsis. Similarly, studies performed in children vertically infected by CHIKV reported delays in language development, speech and reasoning. [17,42,43]. Meanwhile, more recent data state that there are no abnormalities related to maternal CHIKV exposure apart from the intrapartum period up to two years of age. Research carried out in uninfected children exposed in utero to maternal HIV infection observed correlations between neurodevelopmental delay only at four years of age and an exacerbation of inflammatory mediators in these individuals [22]. Our group also studied children with vertically transmitted ZIKV infection with Congenital Zika Syndrome (CZS) and without CZS. We described proteomic alterations associated with the development of neurological diseases in the children without CZS that present an increased activity of metalloproteins 2 and 9 [24].
Some mediators may vary according to gender and age [44,45], so we performed PCA analysis to clarify this question. No cluster or significant data were found. The bivariate analysis also did not show notable differences. Apparently, the alterations observed in the CHIKV group are not related to these factors. Furthermore, this response appears to be sustained, as there were no differences between neonates and infants older than six months. A paired analysis was performed with a small randomly chosen group and we observed no significant differences between samples within a three-month interval of collection (Figure S1).
When comparing children exposed to CHIKV maternal infection and unexposed children through PCA, we confirmed that the populations are distinct. The drag towards the right observed in the children exposed to maternal CHIKV infection is mainly driven by the cytokines TNF-a, IL-1Ra and IL-12. This data supports our hypothesis of exacerbation of the inflammatory status of infants. Cytokines that have higher R2 and Q2 (>0.5) may be related to a higher risk of developing allergic and lung diseases, such as asthma and bronchitis, in addition to psoriasis and dermatitis [37]. On the other hand, PDGF-BB and eotaxin have a higher correlation with the unexposed children. Alterations in growth factors can impact neurodevelopment and angiogenesis and the maturation of other organs and systems [46].
Serological data converge with the literature, where children exposed to maternal CHIKV infection in the first trimester have a higher concentration of antibodies when compared to those exposed in the third trimester [47]. Therefore, this finding must be related to the longer contact time after maternal infection, allowing more significant IgG transfer to the fetus. In addition, we also evidenced the absence of IgM in all infants. Moreover, we selected child’s samples (n = 4) with high IgG concentrations presenting and performed a second collection after 18 months of age. We observed undetectable IgG levels (data not shown). One question to clarify is only the direct contact with CHIKV can stimulate the immune response. In vitro studies have shown that human syncytiotrophoblastic cells are not permissive to CHIKV [48,49]. However, recent studies identified the presence of CHIKV inside infected human syncytiotrophoblasts cells by antigen and PCR methods in placenta [50]. Thus, the possibility of children’s direct contact with the virus cannot be disregarded.
Regarding the analysis of other laboratory parameters, we observed no significant differences or relevant variations in routine biochemical and hematological tests. However, due to the impact that proteins can exert on several systems in the medium and long term, these findings discard future alterations [51]. Of note, some children of the CHIKV group presented serum ferritin > 600ng/dL despite the absence of clinical manifestations. Serum ferritin had been proposed in viral infection by IL-8 activation pathway [52] and as an earlier predictor of dengue fever severity, which may reach up to 750 ug/L [53].
This study has limitations. All children were exposed to maternal infection by CHIKV in utero; however, we were unable to confirm the vertical transmission by the placental analysis. Moreover, we were unable to associate inflammatory mediators with differences genotype, since only teh ECSA genotype circulates in Rio de Janeiro State [10]. Until the end of this study, no clinical alterations related to inflammatory unbalance have been observed, indicating the need for further longitudinal studies. In accordance with our results, we strongly recommend that infants are periodically monitored during early childhood, as the appearance of future manifestations cannot yet be ruled out.
5. Conclusions
Our results showed that children exposed to maternal CHIKV infection during the intrauterine period presented elevated circulating levels of inflammatory mediators during the first year of life, independently of age and sex. Furthermore, intrauterine exposure to CHIKV infection generates a distinct peripheral inflammatory milieu, mainly influenced by pro-inflammatory cytokines such as TNF-α and IL-12p70.
Acknowledgments
The authors would like to thank Roberta Mendes Luz, who represents the Clinical Pathology Service (Hospital Uni-versitario Antônio Pedro, UFF), for conducting laboratory tests. We also thank the Clinical Research Unit (UPC), represented by Sharlene Juvencio, and the multidisciplinary team of the Zika group.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/v14091881/s1, Figure S1: Paired analysis of children exposed in utero to maternal CHIKV infection. Samples of children in the first trimester of life (0–3 months) and second trimester (3–6 months).
Author Contributions
Conceptualization, R.F., C.A.A.C. and A.A.S.; methodology, R.F., F.R.C., T.M. and A.A.S.; experiments, R.F., F.R.C., T.M. and D.F.-M.; software R.F.; validation R.F., F.R.C., T.M., C.A.A.C. and A.A.S.; formal analysis R.F., F.R.C., T.M. and A.A.S.; investigation, R.F., F.R.C., T.M., D.F.-M., R.A.d.O.V., P.E.C.L., I.R.P., E.L.D.A., C.A.A.C. and A.A.S.; resources, A.A.S.; data curation, R.F., F.R.C., T.M. and A.A.S.; writing—original draft preparation, R.F.; writing—review and editing, R.F., F.R.C. and T.M.; R.A.d.O.V., P.E.C.L., I.R.P., E.L.D.A., C.A.A.C. and A.A.S. visualization, A.A.S.; supervision, A.A.S.; project administration, C.A.A.C., funding acquisition, A.A.S. and E.L.D.A. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
This study was conducted according to the Helsinki declaration and the National Research Ethics Commission-CONEP, approved it (CAAE: 56913416.9.0000.5243).
Informed Consent Statement
All activities were performed after obtaining written consent from the children’s parents.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare that there is no conflict of interest regarding the publication of this paper.
Funding Statement
This study was financed in part by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES)-Finance Code 001.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Ryan S.J., Carlson C.J., Mordecai E.A., Johnson L.R. Global Expansion and Redistribution of Aedes-Borne Virus Transmission Risk with Climate Change. PLoS Negl. Trop. Dis. 2019;13:e0007213. doi: 10.1371/journal.pntd.0007213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kendall C., Khalid H., Müller M., Banda D.H., Kohl A., Merits A., Stonehouse N.J., Tuplin A. Structural and Phenotypic Analysis of Chikungunya Virus RNA Replication Elements. Nucleic. Acids. Res. 2019;47:9296–9312. doi: 10.1093/nar/gkz640. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Nunes M.R.T., Faria N.R., de Vasconcelos J.M., Golding N., Kraemer M.U.G., de Oliveira L.F., do Socorro da Silva Azevedo R., da Silva D.E.A., da Silva E.V.P., da Silva S.P., et al. Emergence and Potential for Spread of Chikungunya Virus in Brazil. BMC Med. 2015;13:102. doi: 10.1186/s12916-015-0348-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Gutiérrez L.A. PAHO/WHO Data-Weekly Report | PAHO/WHO. [(accessed on 28 November 2021)]. Available online: https://www3.paho.org/data/index.php/en/mnu-topics/chikv-en/550-chikv-weekly-en.html.
- 5.Torres J.R., Falleiros-Arlant L.H., Dueñas L., Pleitez-Navarrete J., Salgado D.M., Castillo J.B.-D. Congenital and Perinatal Complications of Chikungunya Fever: A Latin American Experience. Int. J. Infect. Dis. 2016;51:85–88. doi: 10.1016/j.ijid.2016.09.009. [DOI] [PubMed] [Google Scholar]
- 6.Freitas A.R.R., Cavalcanti L., Zuben A.P.V., Donalisio M.R. Excess Mortality Related to Chikungunya Epidemics in the Context of Co-Circulation of Other Arboviruses in Brazil. PLoS Curr. 2017:PMC5731794. doi: 10.1371/currents.outbreaks.14608e586cd321d8d5088652d7a0d884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kim A.S., Zimmerman O., Fox J.M., Nelson C.A., Basore K., Zhang R., Durnell L., Desai C., Bullock C., Deem S.L., et al. An Evolutionary Insertion in the Mxra8 Receptor-Binding Site Confers Resistance to Alphavirus Infection and Pathogenesis. Cell Host Microbe. 2020;27:428–440.e9. doi: 10.1016/j.chom.2020.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Zhang R., Kim A.S., Fox J.M., Nair S., Basore K., Klimstra W.B., Rimkunas R., Fong R.H., Lin H., Poddar S., et al. Mxra8 Is a Receptor for Multiple Arthritogenic Alphaviruses. Nature. 2018;557:570–574. doi: 10.1038/s41586-018-0121-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Santhosh S.R., Dash P.K., Parida M.M., Khan M., Tiwari M., Lakshmana Rao P.V. Comparative Full Genome Analysis Revealed E1: A226V Shift in 2007 Indian Chikungunya Virus Isolates. Virus Res. 2008;135:36–41. doi: 10.1016/j.virusres.2008.02.004. [DOI] [PubMed] [Google Scholar]
- 10.de Souza T., Ribeiro E., Corrêa V., Damasco P., Santos C., de Bruycker-Nogueira F., Chouin-Carneiro T., Faria N., Nunes P., Heringer M., et al. Following in the Footsteps of the Chikungunya Virus in Brazil: The First Autochthonous Cases in Amapá in 2014 and Its Emergence in Rio de Janeiro during 2016. Viruses. 2018;10:623. doi: 10.3390/v10110623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Manimunda S.P., Vijayachari P., Uppoor R., Sugunan A.P., Singh S.S., Rai S.K., Sudeep A.B., Muruganandam N., Chaitanya I.K., Guruprasad D.R. Clinical Progression of Chikungunya Fever during Acute and Chronic Arthritic Stages and the Changes in Joint Morphology as Revealed by Imaging. Trans. R. Soc. Trop. Med. Hyg. 2010;104:392–399. doi: 10.1016/j.trstmh.2010.01.011. [DOI] [PubMed] [Google Scholar]
- 12.Nikitina E., Larionova I., Choinzonov E., Kzhyshkowska J. Monocytes and Macrophages as Viral Targets and Reservoirs. Int. J. Mol. Sci. 2018;19:2821. doi: 10.3390/ijms19092821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Chirathaworn C., Chansaenroj J., Poovorawan Y. Cytokines and Chemokines in Chikungunya Virus Infection: Protection or Induction of Pathology. Pathogens. 2020;9:415. doi: 10.3390/pathogens9060415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Contopoulos-Ioannidis D., Newman-Lindsay S., Chow C., LaBeaud A.D. Mother-to-Child Transmission of Chikungunya Virus: A Systematic Review and Meta-Analysis. PLOS Negl. Trop. Dis. 2018;12:e0006510. doi: 10.1371/journal.pntd.0006510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Gérardin P., Barau G., Michault A., Bintner M., Randrianaivo H., Choker G., Lenglet Y., Touret Y., Bouveret A., Grivard P., et al. Multidisciplinary Prospective Study of Mother-to-Child Chikungunya Virus Infections on the Island of La Réunion. PLoS Med. 2008;5:e60. doi: 10.1371/journal.pmed.0050060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gérardin P., Sampériz S., Ramful D., Boumahni B., Bintner M., Alessandri J.-L., Carbonnier M., Tiran-Rajaoefera I., Beullier G., Boya I., et al. Neurocognitive Outcome of Children Exposed to Perinatal Mother-to-Child Chikungunya Virus Infection: The CHIMERE Cohort Study on Reunion Island. PLoS Negl. Trop. Dis. 2014;8:e2996. doi: 10.1371/journal.pntd.0002996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Corrêa D.G., Freddi T.a.L., Werner H., Lopes F.P.P.L., Moreira M.E.L., de Almeida Di Maio Ferreira F.C.P., de Andrade Lopes J.M., Rueda-Lopes F.C., da Cruz L.C.H. Brain MR Imaging of Patients with Perinatal Chikungunya Virus Infection. AJNR Am. J. Neuroradiol. 2020;41:174–177. doi: 10.3174/ajnr.A6339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Schepanski S., Buss C., Hanganu-Opatz I.L., Arck P.C. Prenatal Immune and Endocrine Modulators of Offspring’s Brain Development and Cognitive Functions Later in Life. Front. Immunol. 2018;9:2186. doi: 10.3389/fimmu.2018.02186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Vianna R.A.d.O., Lovero K.L., de Oliveira S.A., Fernandes A.R., Santos T.C.S.D., de Souza Lima L.C.S., Carvalho F.R., Quintans M.D.S., Bueno A.C., Torbey A.F.M., et al. Children Born to Mothers with Rash During Zika Virus Epidemic in Brazil: First 18 Months of Life. J. Trop. Pediatr. 2019;65:592–602. doi: 10.1093/tropej/fmz019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lanciotti R.S., Kosoy O.L., Laven J.J., Panella A.J., Velez J.O., Lambert A.J., Campbell G.L. Chikungunya Virus in US Travelers Returning from India, 2006. Emerg. Infect. Dis. 2007;13:764–767. doi: 10.3201/eid1305.070015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Costa J., Ferreira E.C., Santos C. COVID-19, Chikungunya, Dengue and Zika Diseases: An Analytical Platform Based on MALDI-TOF MS, IR Spectroscopy and RT-QPCR for Accurate Diagnosis and Accelerate Epidemics Control. Microorganisms. 2021;9:708. doi: 10.3390/microorganisms9040708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Sevenoaks T., Wedderburn C.J., Donald K.A., Barnett W., Zar H.J., Stein D.J., Naudé P.J.W. Association of Maternal and Infant Inflammation with Neurodevelopment in HIV-Exposed Uninfected Children in a South African Birth Cohort. Brain Behav. Immun. 2021;91:65–73. doi: 10.1016/j.bbi.2020.08.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chatterjee A., Zumpf K., Sprague J., Ciolino J., Wisner K.L., Clark C., Mancebo M.C., Eisen J.L., Rasmussen S.A., Boisseau C.L. Impact of the Peripartum Period on the Longitudinal Course of Obsessive–Compulsive Disorder. Arch. Womens Ment. Health. 2021;24:941–947. doi: 10.1007/s00737-021-01134-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Macedo-da-Silva J., Rosa-Fernandes L., Barbosa R.H., Angeli C.B., Carvalho F.R., de Oliveira Vianna R.A., Carvalho P.C., Larsen M.R., Cardoso C.A., Palmisano G. Serum Proteomics Reveals Alterations in Protease Activity, Axon Guidance, and Visual Phototransduction Pathways in Infants With In Utero Exposure to Zika Virus Without Congenital Zika Syndrome. Front. Cell. Infect. Microbiol. 2020;10:701. doi: 10.3389/fcimb.2020.577819. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Iosif R.E., Ekdahl C.T., Ahlenius H., Pronk C.J.H., Bonde S., Kokaia Z., Jacobsen S.-E.W., Lindvall O. Tumor Necrosis Factor Receptor 1 Is a Negative Regulator of Progenitor Proliferation in Adult Hippocampal Neurogenesis. J. Neurosci. 2006;26:9703–9712. doi: 10.1523/JNEUROSCI.2723-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.von Ehrenstein O.S., Neta G.I., Andrews W., Goldenberg R., Goepfert A., Zhang J. Child Intellectual Development in Relation to Cytokine Levels in Umbilical Cord Blood. Am. J. Epidemiol. 2012;175:1191–1199. doi: 10.1093/aje/kwr393. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Reinehr T., Roth C.L. Inflammation Markers in Type 2 Diabetes and the Metabolic Syndrome in the Pediatric Population. Curr. Diab. Rep. 2018;18:131. doi: 10.1007/s11892-018-1110-5. [DOI] [PubMed] [Google Scholar]
- 28.Semple B.D., Kossmann T., Morganti-Kossmann M.C. Role of Chemokines in CNS Health and Pathology: A Focus on the CCL2/CCR2 and CXCL8/CXCR2 Networks. J. Cereb. Blood Flow Metab. 2010;30:459–473. doi: 10.1038/jcbfm.2009.240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kelland E.E., Gilmore W., Weiner L.P., Lund B.T. The Dual Role of CXCL8 in Human CNS Stem Cell Function: Multipotent Neural Stem Cell Death and Oligodendrocyte Progenitor Cell Chemotaxis. Glia. 2011;59:1864–1878. doi: 10.1002/glia.21230. [DOI] [PubMed] [Google Scholar]
- 30.Stuart M.J., Singhal G., Baune B.T. Systematic Review of the Neurobiological Relevance of Chemokines to Psychiatric Disorders. Front. Cell Neurosci. 2015;9:357. doi: 10.3389/fncel.2015.00357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lima M.C., de Mendonça L.R., Rezende A.M., Carrera R.M., Aníbal-Silva C.E., Demers M., D’Aiuto L., Wood J., Chowdari K.V., Griffiths M., et al. The Transcriptional and Protein Profile From Human Infected Neuroprogenitor Cells Is Strongly Correlated to Zika Virus Microcephaly Cytokines Phenotype Evidencing a Persistent Inflammation in the CNS. Front. Immunol. 2019;10:1928. doi: 10.3389/fimmu.2019.01928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Naveca F.G., Pontes G.S., Chang A.Y., da Silva G.A.V., do Nascimento V.A., da Silva Monteiro D.C., da Silva M.S., Abdalla L.F., Santos J.H.A., de Almeida T.A.P., et al. Analysis of the Immunological Biomarker Profile during Acute Zika Virus Infection Reveals the Overexpression of CXCL10, a Chemokine Linked to Neuronal Damage. Mem. Inst. Oswaldo Cruz. 2018;113:e170542. doi: 10.1590/0074-02760170542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Puccioni-Sohler M., da Silva S.J., Faria L.C.S., Cabral D.C.B.I., Cabral-Castro M.J. Neopterin and CXCL-10 in Cerebrospinal Fluid as Potential Biomarkers of Neuroinvasive Dengue and Chikungunya. Pathogens. 2021;10:1626. doi: 10.3390/pathogens10121626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Barbosa S., Khalfallah O., Forhan A., Galera C., Heude B., Glaichenhaus N., Davidovic L. Immune Activity at Birth and Later Psychopathology in Childhood. Brain Behav. Immun. -Health. 2020;8:100141. doi: 10.1016/j.bbih.2020.100141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Nascimento-Carvalho G.C., Nascimento-Carvalho E.C., Ramos C.L., Vilas-Boas A.-L., Moreno-Carvalho O.A., Vinhaes C.L., Barreto-Duarte B., Queiroz A.T.L., Andrade B.B., Nascimento-Carvalho C.M. Zika-Exposed Microcephalic Neonates Exhibit Higher Degree of Inflammatory Imbalance in Cerebrospinal Fluid. Sci Rep. 2021;11:8474. doi: 10.1038/s41598-021-87895-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Venugopalan A., Ghorpade R.P., Chopra A. Cytokines in Acute Chikungunya. PLoS ONE. 2014;9:e111305. doi: 10.1371/journal.pone.0111305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Renert-Yuval Y., Del Duca E., Pavel A.B., Fang M., Lefferdink R., Wu J., Diaz A., Estrada Y.D., Canter T., Zhang N., et al. The Molecular Features of Normal and Atopic Dermatitis Skin in Infants, Children, Adolescents, and Adults. J. Allergy Clin. Immunol. 2021;148:148–163. doi: 10.1016/j.jaci.2021.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Zhang Y.-L., Luan B., Wang X.-F., Qiao J.-Y., Song L., Lei R.-R., Gao W.-X., Liu Y. Peripheral Blood MDSCs, IL-10 and IL-12 in Children with Asthma and Their Importance in Asthma Development. PLoS ONE. 2013;8:e63775. doi: 10.1371/journal.pone.0063775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kinder J.M., Stelzer I.A., Arck P.C., Way S.S. Immunological Implications of Pregnancy-Induced Microchimerism. Nat. Rev. Immunol. 2017;17:483–494. doi: 10.1038/nri.2017.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Lamothe J., Khurana S., Tharmalingam S., Williamson C., Byrne C.J., Lees S.J., Khaper N., Kumar A., Tai T.C. Oxidative Stress Mediates the Fetal Programming of Hypertension by Glucocorticoids. Antioxidants. 2021;10:531. doi: 10.3390/antiox10040531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Fitzgerald W., Gomez-Lopez N., Erez O., Romero R., Margolis L. Extracellular Vesicles Generated by Placental Tissues ex vivo: A Transport System for Immune Mediators and Growth Factors. Am. J. Reprod. Immunol. 2018;80:e12860. doi: 10.1111/aji.12860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Shenoy S., Pradeep G.C.M. Neurodevelopmental Outcome of Neonates with Vertically Transmitted Chikungunya Fever with Encephalopathy. Indian Pediatr. 2012;49:238–240. [PubMed] [Google Scholar]
- 43.Waechter R., Ingraham E., Evans R., Cudjoe N., Krystosik A., Isaac R., Watts A., Noël T., Landon B., Fernandes M., et al. Pre and Postnatal Exposure to Chikungunya Virus Does Not Affect Child Neurodevelopmental Outcomes at Two Years of Age. PLoS Negl. Trop. Dis. 2020;14:e0008546. doi: 10.1371/journal.pntd.0008546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Decker M.-L., Gotta V., Wellmann S., Ritz N. Cytokine Profiling in Healthy Children Shows Association of Age with Cytokine Concentrations. Sci Rep. 2017;7:17842. doi: 10.1038/s41598-017-17865-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Larsson A., Carlsson L., Gordh T., Lind A.-L., Thulin M., Kamali-Moghaddam M. The Effects of Age and Gender on Plasma Levels of 63 Cytokines. J. Immunol. Methods. 2015;425:58–61. doi: 10.1016/j.jim.2015.06.009. [DOI] [PubMed] [Google Scholar]
- 46.Fordjour L., Cai C., Bronshtein V., Bronshtein M., Aranda J.V., Beharry K.D. Growth Factors in the Fetus and Pre-Adolescent Offspring of Hyperglycemic Rats. Diabetes Vasc. Dis. Res. 2021;18:147916412110110. doi: 10.1177/14791641211011025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ramful D., Sampériz S., Fritel X., Michault A., Jaffar-Bandjee M.-C., Rollot O., Boumahni B., Gérardin P. Antibody Kinetics in Infants Exposed to Chikungunya Virus Infection During Pregnancy Reveals Absence of Congenital Infection. J. Infect. Dis. 2014;209:1726–1730. doi: 10.1093/infdis/jit814. [DOI] [PubMed] [Google Scholar]
- 48.Couderc T., Chrétien F., Schilte C., Disson O., Brigitte M., Guivel-Benhassine F., Touret Y., Barau G., Cayet N., Schuffenecker I., et al. A Mouse Model for Chikungunya: Young Age and Inefficient Type-I Interferon Signaling Are Risk Factors for Severe Disease. PLoS Pathog. 2008;4:e29. doi: 10.1371/journal.ppat.0040029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Matusali G., Colavita F., Bordi L., Lalle E., Ippolito G., Capobianchi M.R., Castilletti C. Tropism of the Chikungunya Virus. Viruses. 2019;11:175. doi: 10.3390/v11020175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Salomão N., Araújo L., Rabelo K., Avvad-Portari E., de Souza L., Fernandes R., Valle N., Ferreira L., Basílio-de-Oliveira C., Basílio-de-Oliveira R., et al. Placental Alterations in a Chikungunya-Virus-Infected Pregnant Woman: A Case Report. Microorganisms. 2022;10:872. doi: 10.3390/microorganisms10050872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Kawabata H. The pathogenesis of anemia in inflammation. Rinsho Ketsueki. 2020;61:1105–1111. doi: 10.11406/rinketsu.61.1105. [DOI] [PubMed] [Google Scholar]
- 52.Slaats J., ten Oever J., van de Veerdonk F.L., Netea M.G. IL-1β/IL-6/CRP and IL-18/Ferritin: Distinct Inflammatory Programs in Infections. PLoS Pathog. 2016;12:e1005973. doi: 10.1371/journal.ppat.1005973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Valero N., Mosquera J., Torres M., Duran A., Velastegui M., Reyes J., Fernandez M., Fernandez G., Veliz T. Increased Serum Ferritin and Interleukin-18 Levels in Children with Dengue. Braz. J. Microbiol. 2019;50:649–656. doi: 10.1007/s42770-019-00105-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
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