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. 2020 Mar 19;10:5015. doi: 10.1038/s41598-020-61965-5

Genetic polymorphisms of IL17A associated with Chagas disease: results from a meta-analysis in Latin American populations

Mariana Strauss 1,, Miriam Palma-Vega 2, Desiré Casares-Marfil 2, Pau Bosch-Nicolau 3, María Silvina Lo Presti 1, Israel Molina 3, Clara Isabel González 4; Chagas Genetics CYTED Network, Javier Martín 2,, Marialbert Acosta-Herrera 2,
PMCID: PMC7081280  PMID: 32193469

Abstract

Genetic factors and the immunologic response have been suggested to determine the susceptibility against the infection and the outcome of Chagas disease. In the present study, we analysed three IL17A genetic variants (rs4711998, rs8193036 and rs2275913) regarding the predisposition to Trypanosoma cruzi infection and the development of chronic Chagas cardiomyopathy (CCC) in different Latin American populations. A total of 2,967 individuals from Colombia, Argentina, Bolivia and Brazil, were included in this study. The individuals were classified as seronegative and seropositive for T. cruzi antigens, and this last group were divided into asymptomatic and CCC. For T. cruzi infection susceptibility, the IL17A rs2275913*A showed a significant association in a fixed-effect meta-analysis after a Bonferroni correction (P = 0.016, OR = 1.21, 95%CI = 1.06–1.41). No evidence of association was detected when comparing CCC vs. asymptomatic patients. However, when CCC were compared with seronegative individuals, it showed a nominal association in the meta-analysis (P = 0.040, OR = 1.20, 95%CI = 1.01–1.45). For the IL17A rs4711998 and rs8193036, no association was observed. In conclusion, our results suggest that IL17A rs2275913 plays an important role in the susceptibility to T. cruzi infection and could also be implicated in the development of chronic cardiomyopathy in the studied Latin American population.

Subject terms: Genetic association study, Parasitic infection

Introduction

Chagas disease caused by the protozoan Trypanosoma cruzi is a parasitic infection endemic in Latin American countries, which is nowadays increasingly becoming a global health problem, due to migration to non-endemic areas1,2. Around 6 to 7 million people are estimated to be infected worldwide, mostly in Latin America1,3. During the acute phase of the disease, the increase of parasitic load induces an inflammatory process for the control of the pathogen4. Ten to thirty years after infection, around 30 to 40% of chronically infected patients can develop cardiomyopathy or/and megaviscera. The symptoms include cardiac conduction abnormalities, myocardial contractile dysfunction, arrhythmias, dysphagia, regurgitation, and severe constipation, among others. The cardiac involvement is the most frequent manifestation of the disease5,6. The characteristics of this phase vary in different patients and in different regions of the endemic area7.

After the infection with T. cruzi, interleukin-17A (IL-17A) is produced by T helper 17 (Th17) cells, subset of CD4+ T cells, and innate lymphoid cells8,9. More recently, it has been described that B cells are also an important source of IL-17A and IL-17F, produced as well after T. cruzi infection10,11. In response to the infection, IL17-A, induces a rapid proinflammatory cascade of chemokines and cytokines that facilitates the recruitment and activation of neutrophils and monocytes required for the early control of the pathogen by the immune system12,13. In the chronic phase of the disease, several studies suggest that the clinical progression of Chagas cardiomyopathy involves the overexpression of IL-17 by Th17 cells and B cells14,15.

It’s well known that, genetic factors and immunologic response may determine the susceptibility against the infection and the outcome of Chagas disease1619. Thus, polymorphisms in genes encoding cytokines may influence the level of cytokines production and, consequently, cause different immunological responses2022. Specifically, IL17A polymorphisms, located in the promoter region of the gene, have been associated with plasma IL-17A levels in cell cultures20 and in healthy infants23. Several studies have found associations between the IL17A gene polymorphisms with infectious diseases, such as, cutaneous leishmaniasis24, brucellosis25, and tuberculosis26.

A previous study performed, by our group, in a Colombian cohort, observed nominal significant associations between variants of IL17A gene with the susceptibility to T. cruzi infection and with the development of chronic cardiomyopathy27. An additional study conducted in the South and Southeast regions of Brazil also found an association with IL17A and IL17F variants and the susceptibility to the development of chronic Chagas cardiomyopathy28.

Given the limited information about the role of IL17A gene variants in Chagas disease, this study aimed to analyse the association of three IL17A genetic variants with the predisposition to T. cruzi infection, the development of chronic cardiomyopathy and chronic Chagas cardiomyopathy, in different Latin American populations.

Results

A total of 2,967 patients were included in the study. The demographic characteristics of the studied cohorts are reported in Table 1.

Table 1.

Demographic characteristics of patients included in the present study classified by Chagas disease serology and symptoms.

Seropositive Seronegative Total
CCC ASY
Sex (% males) 40%* 31%* 36%**
Median age, yr (P25–P75) 60 (51–68)* 48 (41–57)* 46 (31–62)**
Colombian 576 361 640 1,577
Argentinian 182 90 78 350
Bolivian 100 530 630
Brazilian28 212 48 150 410
Total 1,070 1,029 868 2,967

CCC: chronic Chagas cardiomyopathy. ASY: asymptomatic.

*Data from the Colombian, Argentinian and Bolivian cohorts.

**Data from the Colombian and Argentinian cohorts.

The three single nucleotide polymorphisms (SNPs) of IL17A gene: rs4711998, rs8193036 and rs2275913, selected for this study, were in Hardy-Weinberg equilibrium in all the analysed cohorts (P > 0.01). The genotyping success rate was over 95% and the allele frequencies in all cases were similar to those described for the Americans sub-populations of the 1000 Genomes Project phase III (http://www.1000genomes.org)29 (Table S1).

T. cruzi infection susceptibility

The allelic and genotypic frequencies of seronegative and seropositive individuals from the Colombian cohort were compared in Tables S3–1 The minor allele frequency (MAF), in rs8193036*C was higher in seronegative than in seropositive individuals, being nominally significant after the adjustment by sex and age [P = 0.043, odds ratio (OR) = 0.83, 95% confidence interval (CI) = 0.70–0.99]. No associations between the three IL17A genetic variants and susceptibility to T. cruzi infection were found after performing logistic regression adjusted by sex and age in the Argentinian cohort (Tables S3–2). In contrast, interestingly, the SNP IL17A rs2275913*A, that was studied in a Brazilian cohort, was found statistically significant for the risk to T. cruzi infection28. Furthermore, a meta-analysis combining each individual cohort (Colombian, Argentinian and Brazilian) was performed (Table 2). The IL17A rs2275913*A allele effect was consistent in the three cohorts and the association improved after the meta-analysis, showing statistically significant results (P = 0.016, OR = 1.21, 95% CI = 1.06–1.41, under a fixed-effects meta-analysis) after Bonferroni correction. No association was observed for the IL17A rs4711998 and rs8193036.

Table 2.

Meta-analysis of IL17A variants, Latin American cohorts for T. cruzi infection susceptibility (seropositive vs. seronegative individuals).

Colombian cohort Argentinian cohort Brazilian cohort Meta-analysis
SNP OR (L95-U95) P OR (L95-U95) P OR (L95-U95) P OR (L95-U95) P
rs4711998*A 0.94 (0.78–1.14) 0.528 1.38 (0.90–2.12) 0.143 0.99 (0.84–1.17) 0.946
rs8193036*C 0.83 (0.70–0.99) 0.043 1.34 (0.89–20.2) 0.164 0.89 (0.76–1.05) 0.169
rs2275913*A 1.16 (0.95–1.4) 0.136 1.07 (0.67–1.69) 0.793 1.46 (1.05–2.05) 0.032 1.21 (1.06-1.41) 0.016

Total number of individuals: rs4711998 and rs8193036: seropositive, n = 1209 and seronegative, n = 718; rs2275913: seropositive, n = 1469 and seronegative, n = 868. OR: odds ratios, L95-U95: confidence intervals of 95% L: lower limit; U: upper limit. Significant P value is shown in bold. Significant association based on the Bonferroni correction P < 0.017.

Chronic chagas cardiomyopathy susceptibility

To understand the genetic basis of chronic Chagas cardiomyopathy, we compared CCC and asymptomatic patients. The allelic frequencies of IL17A variants in patients from the Colombian, Argentinian and Bolivian cohorts were not statistically significant after the logistic regression adjusted by sex and age (Tables S4–1–3), consistent with previous findings in the Brazilian cohort28. Moreover, no significant associations were detected for the available SNPs when the meta-analysis was performed combining these cohorts (Table 3).

Table 3.

Meta-analysis of IL17A variants, Latin American cohorts for chronic Chagas cardiomyopathy susceptibility (CCC vs. asymptomatic patients).

Colombian cohort Argentinian cohort Bolivian cohort Brazilian cohort Meta-analysis
SNP OR (L95-U95) P OR (L95-U95) P OR (L95-U95) P OR (L95-U95) P OR (L95-U95) P
rs4711998*A 0.86 (0.67–1.11) 0.259 1.08 (0.69–1.68) 0.751 0.96 (0.65–1.41) 0.831 0.92 (0.76–1.11) 0.396
rs8193036*C 0.92 (0.72–1.18) 0.526 0.74 (0.49–1.29) 0.164 1.18 (0.85–1.62) 0.319 0.95 (0.80–1.14) 0.616
rs2275913*A 0.8 (0.62–1.02) 0.081 0.72 (0.43–1.21) 0.217 1.14 (0.75–1.71) 0.543 1.21 (0.74–1.99) 0.463 0.89 (0.74–1.07) 0.232

Total number of individuals: rs4711998 and rs8193036: CCC, n = 858 and asymptomatic, n = 981; rs2275913: CCC, n = 1070 and asymptomatic, n = 1029. OR: odds ratios, L95-U95: confidence intervals of 95% L: lower limit; U: upper limit.

Finally, in order to evaluate the possible association between IL17A genetic variants and chronic cardiomyopathy we compared CCC patients and seronegative individuals, as previously performed27,28. In the Colombian and Argentinian cohort (Tables S5–1 and 2) and no associations were found after applying logistic regression adjusted by sex and age. In contrast, a previous study, in the Brazilian cohort the IL17A rs2275913*A allele was nominally significant28. As can be observed in Table 4 the IL17A rs2275913 allele effect was consistent in the Colombian, Argentinian and Brazilian cohorts, and the association with chronic cardiomyopathy susceptibility improved after the meta-analysis showing nominally statistical differences (P = 0.040, OR = 1.20, 95% CI = 1.01–1.45, under a fixed-effects meta-analysis). These results suggest that rs2275913*A allele was associated with the risk of cardiomyopathy in the analysed population.

Table 4.

Meta-analysis of IL17A variants, Latin American cohorts for chronic cardiomyopathy susceptibility (CCC vs. seronegative individuals).

Colombian cohort Argentinian cohort Brazilian cohort Meta-analysis
SNP OR (L95-U95) P OR (L95-U95) P OR (L95-U95) P OR (L95-U95) P
rs4711998*A 0.93 (0.75–1.16) 0.541 1.47 (0.92–2.37) 0.109 1.02 (0.82–1.23) 0.927
rs8193036*C 0.84 (0.67–1.05) 0.133 1.21 (0.78–1.88) 0.389 0.91 (0.74–1.10) 0.323
rs2275913*A 1.14 (0.90–1.44) 0.298 0.99 (0.60–1.61) 0.955 1.52 (1.08–2.15) 0.021 1.20 (1.01–1.45) 0.040

Total number of individuals: rs4711998 and rs8193036: CCC, n = 758 and seronegative, n = 718; rs2275913: CCC, n = 970 and seronegative, n = 868. OR: odds ratios, L95-U95: confidence intervals of 95% L: lower limit; U: upper limit.

In silico functional characterization of IL17A gene variants

Since the IL17A rs2275913 showed a statistical association with the risk to T. cruzi infection and the development of chronic cardiomyopathy, we perform an in silico functional analysis of this SNP and the ones in high LD (R2 ≥ 0.8) on peripheral mononuclear blood in American population from the 1000 Genomes Project (Table 5). The annotation indicates that these SNPs map in enhancer regions and marks of histone modifications (H3K4me1, H3K4me3, H3K27ac and chromatin marks), potentially modulating gene expression.

Table 5.

Functional annotation.

Positiona SNPs R2 Functionality MAF (AMR) eQTL Chromatin statesb Chromatin statesc H3K4me1 H3K4me3 H3K27ac
chr6:52051033 rs2275913 1 Intergenic variant 25% Flank Promoter Enhancer Promoter Enhancer
chr6:52087034 rs11966760 0.82 Intergenic variant 24% PAQR8 Enhancer Promoter Enhancer Promoter Enhancer
chr6:52056386 rs16882180 0.8 Intergenic variant 25% PAQR8 Enhancer Promoter

Regulatory chromatin states and histone modifications for IL17A rs2275913 and SNPs in high LD (R2  ≥  0.8).

Functional annotation from mononuclear peripheral blood specifically primary T helper 17 cells.

aAccording to National Center for Biotechnology Genome Reference Consortium NCBI build GRCh37.

bCore 15-state model.

cChromatin states: 25-state model using 12 imputed marks.

H3K4me1: Histone H3 lysine 4 mono-methylation, H3K4me3: Histone H3 lysine 4 tri-methylation, H3K27ac: Histone H3 lysine 27 acetylation.

MAF: Minor Allele Frequency. AMR: American.

Discussion

Association studies offer a potentially powerful approach to identify genetic variations that are involved in the immunopathogenesis of Chagas disease1619. However, individual genetic association studies frequently have limitations and the results may be specific to the population of the study. The meta-analysis approach has been proposed to resolve these limitations, to increase the power of statistical analyses30,31 and to reach to more conclusive results in order to improve our understanding of the genetic basis underlying Chagas disease. In this study, three IL17A genetic variants were analysed in four Latin American populations, and our results evidenced the implication of rs2275913 associated with the risk to T. cruzi infection and the development of chronic cardiomyopathy, in Colombian, Argentinian and Brazilian population.

In the early stages of the infection, the IL-17A is a crucial cytokine secreted by a wide range cell types such as Th17, B cells, innate lymphoid cells, CD4+, CD8+, gamma-delta T and invariant NKT10-13,32. The rs2275913, which was associated with the risk to T. cruzi infection in the Latin American population studied, is a functional polymorphism that modifies the binding of the transcriptional nuclear factor of activated T cells (NFAT) in the IL-17A promoter. Moreover, as observed in the in silico analysis, the associated variant is located in promoter histone marks, potentially modulating gene expression. In addition, it has been demonstrated that the substitution of the G by an A allele in the IL17A rs2275913 gene promoter was significantly associated with autoimmune diseases and cancer3336. However, controversial results have been reported regarding the levels of IL-17A in serum, where the A allele was associated with a higher20,36,37, lower38,39 or no significant40 levels of transcription and synthesis of the protein. In this work, we could hypothesized that the individuals who carry the A allele in the IL17A rs2275913 would be more susceptibility to the T. cruzi infection, probably due to a variation in the gene expression and therefore lower IL-17A production, which would impede a rapid proinflammatory activation of chemokines and cytokines for the resolution of T. cruzi infection12,13. However, further studies are required to understand the complexity of IL17A rs2275913 polymorphism functional effect.

Several studies showed that IL-17A has an important immunomodulatory role in the chronic phase of the disease8,14,15,41. IL‐17 expression by Th17 cells and B cells were found in patients with cardiac involvement more frequently, compared to asymptomatic patients, correlating with worse cardiac function14; IL-17 exacerbated produce a proinflammatory environment in Chagas severe heart disease42,43. However controversially, others groups suggested a protective role of IL‐17 and Th17 in the chronic cardiac form44,45. Regarding IL17A genetic variants, in our study, no significant association was detected when CCC and asymptomatic patients from Colombia, Argentina, Bolivia and Brazil were compared. This lack of association could be a consequence of an insufficient statistical power (Table S1) or genetic heterogeneity among the studied cohorts. The lack of replication may occur if the studied polymorphism is not the causal variant but is rather in LD with it. LD patterns depend on the genetic background of the founder population and population history, always challenging in Latin American population due to their genetic diversity and recent admixture4648.

Interestingly, at the present time IL-17A have become a relevant drug target in various forms of autoimmune and inflammatory diseases, mainly as negative modulators of the secreted protein13,49. Two antibodies are currently in Phase IV of drug development for the treatment of immune system diseases, namely, Secukinumab and Ixekizumab (Anatomical Therapeutic Chemical [ATC] code L04AC10 and L04AC13, respectively). Given the role of IL-17A as a key cytokine in the pathogenesis of Chagas disease, the opportunities for drug repurposing becomes very important for this neglected disease, as there are only two treatments available: Benznidazole and Nifurtimox, with high rates of adverse effects and treatment withdrawal50,51.

In conclusion, in this work, we found an association of IL17A rs2275913 with Chagas disease in a large cohort composed of different Latin American countries, validating previous findings27,28. Finally, further studies on this gene accounting for functional analyses and heterogeneity among populations, would be necessary for the complete understanding of IL17A polymorphisms in Chagas disease.

Materials and Methods

Study design and patient population

A candidate-gene case-control study was performed in Colombian, Argentinian and Bolivian cohorts in order to replicate previous findings27,28. In addition, to improve the statistical power of the study a meta-analysis was performed combining the results from all the available cohorts.

A total of 2,967 individuals from Latin American countries (Argentina, Bolivia Colombia and Brazil) were studied. In all cohorts, patients were classified as seropositive for T. cruzi antigens (n = 2,099) and seronegative (n = 868) on the basis of results of at least 2 of 3 independent tests. Among seropositive individuals, based on electrocardiographic, echocardiographic, chest X-ray and clinical findings, patients were classified as chronic Chagas cardiomyopathy (CCC, n = 1,070) and asymptomatic (ASY, n = 1,029).

Colombian cohort

A total of 406 Colombian individuals from the same population as the study by Leon Rodriguez et al.27 were recruited by the health care team from the Industrial University of Santander and Cardiovascular Foundation from Colombia. In order to increase the sample size, these individuals were included with the previously published Colombian cohort, making a total of 1,577 individuals. From this, 937 were classified as seropositive for T. cruzi antigens and 640 were classified as seronegative (according to the serological tests: recombinant antigen ELISA and commercial indirect hemagglutination test). Subsequently, and after a clinical evaluation, an electrocardiogram (ECG) and an echocardiogram (Echo) were recorded to detect any conduction and/or structural alteration in seropositive patients. Based on complementary tests and clinical findings, seropositive patients were classified as CCC = 576 and ASY = 361. The mean age of participants was 45.55 ± 17.19 years for seronegative individuals, CCC = 61.44 ± 12.82 and ASY = 51.90 ± 14.18. The sex distribution was 58% female and 42% male52.

Argentinian cohort

A total of 350 Argentinian individuals from an endemic region for Chagas disease (Cordoba province) were included in this study. The study subjects were recruited from the National Hospital of Clinics and Sucre Clinic, Cordoba city. The population in this region of Argentina is a homogeneous mixture, with no specific concentration of any ethnicity. All participants underwent a serological diagnosis for T. cruzi infection by means of the enzyme-linked immunosorbent assay (ELISA) that uses recombinant antigen and a commercial indirect hemagglutination test. According to the results of these tests, 272 individuals were classified as seropositive for T. cruzi antigens and 78 were classified as seronegative. Based on the results of clinical findings, ECG and Echo, seropositive patients were classified as CCC, n = 182 and ASY, n = 90. The mean age of participants was 53.82 ± 16.53 years for seronegative individuals, 49.30 ± 13.65 for asymptomatic individuals and 60.14 ± 10.16 for chronic Chagas cardiomyopathy patients. The sex distribution was 71% female and 29% male52.

Bolivian cohort

A total of 630 Bolivian individuals residents in Barcelona, Spain were recruited from the Infectious Diseases Department of the Vall d’Hebron University Hospital. In this cohort only seropositive patients were classified as CCC, n = 100 and ASY, n = 530 based on the results of clinical findings, ECG and Echo. The sex distribution was 69% female and 31% male. The mean age of the participants was ASY: 46.93 ± 9.49 CCC: 50.71 ± 9.4152.

Brazilian cohort

Data from 410 Brazilian individuals drawn from Reis et al. 2017, originally from South and Southeast regions of Brazil were included in the meta-analysis28. From this, 260 were classified as seropositive for T. cruzi antigens and 150 were classified as seronegative. Based on complementary tests and clinical findings, seropositive patients were classified as CCC = 212 and ASY = 48.

Ethics statement

The study was accepted by the Ethics Committees from the Industrial University of Santander and Cardiovascular Foundation, Colombia [Act No. 15/2005]; the Vall d’Hebron University Hospital, Barcelona, Spain and the National Hospital of Clinics [PR (AMI) 297/2016], National University of Cordoba, Argentina [CIEIS HNC 118/2012 and 2/16/2017]. Written informed consent was obtained from all subjects prior to participation. The research protocols followed the principles of the Declaration of Helsinki and informed consent was obtained from all individual participants included in the study.

Selected polymorphisms and genotyping

Three SNPs of IL17A gene (rs4711998, rs8193036 and rs2275913) were selected for this study. These SNPs were previously assessed in Chagas disease in a Colombian cohort and in a Brazilian cohort28. These SNPs are independent intergenic variants mapping to the promoter region of IL17A53 (linkage disequilibrium [LD], r2 < 0.2 estimated using LDlink website tool [https://ldlink.nci.nih.gov/?tab=ldmatrix]).

Genomic DNA from blood samples was isolated following standard procedures and the genotyping was performed using TaqMan assays (Applied Biosystems, Foster City, California, USA) on a real-time PCR system (7900HT Fast Real-Time PCR System), SNPs were determined by TaqMan 5´ allelic discrimination assay method performed by Applied Biosystems52.

Statistical analysis

For the candidate gene study, the statistical analyses were performed with the software Plink V1.9 (https://www.cog-genomics.org/plink2)54. Deviance from Hardy-Weinberg equilibrium was determined at the 1% significance level in all groups of individuals. Individuals that did not achieved an SNP completion rate of 95% were filtered out. To test for possible allelic association, logistic regression model and Fisher’s exact test were assessed in seronegative vs. seropositive individuals and asymptomatic vs. chronic Chagas cardiomyopathy individuals, using age and sex as covariates; and odds ratios (OR) and 95% confidence intervals (CI) were calculated. P-values lower than 0.05 were considered as statistically significant.

To assess the consistency of effects across the cohorts, a meta-analysis was performed with METASOFT (http://genetics.cs.ucla.edu/meta/) based on inverse-variance-weighted effect size. Heterogeneity across studies was assessed using the Cochran’s Q statistic (Q test P < 0.05) and I2 heterogeneity index55. A fixed-effects model was applied for those SNPs without evidence of heterogeneity (Cochran’s Q test P  >  0.05), and a random-effects model was applied for SNPs displaying heterogeneity of effects between studies (Cochran’s Q test P  ≤  0.05). The significance threshold for the meta-analyses was estimated based on the Bonferroni correction (0.05/3 = 0.017)56.

The statistical power of the studies was estimated with the Power Calculator for Genetic Studies 2006 (CaTS) software (Tables S1 and S2) (http://www.sph.umich.edu/csg/abecasis/CaTS/)57.

In silico functional characterization of IL17A gene variants

Evaluation of functionality of the statistically significant associated SNP with Chagas disease, was performed with the online software HaploReg v4.158. (https://pubs.broadinstitute.org/mammals/haploreg/ haploreg.php) based on empirical data from the ENCODE project (http://www.genome.gov/encode/). Specifically, we focused our attention on experiments performed on blood in the American population. Moreover, updated information related to expression Quantitative Trait Loci (eQTL) were inspected for IL17A rs2275913 and for SNPs in high LD (R2  ≥  0.8) (Table 5).

Supplementary information

Acknowledgements

We thank all the patients who participated in this study and the Medical team from the different Latin American countries and Spain. This research was supported by grants from Ministerio de Ciencia y Tecnología de Córdoba (GRFT 2017), Secretaría de Ciencia y Tecnología, Universidad Nacional de Córdoba, Argentina and Red Iberoamericana de Medicina Genómica en enfermedad de Chagas – CYTED (http://www.cyted.org).

Author contributions

M.S., M.S.L.P., I.M., C.I.G., J.M., M.A.H. and C.G.C.N. defined the experimental design and conceptualization. M.S., M.P.V., D.C.M., P.B.N. and M.A.H. performed the allelic discrimination, data curation, formal analysis and functional annotation. J.M. and M.A.H. supervised the procedures. M.S., M.P.V. and D.C.M. drafted the first version of the manuscript under the supervision of M.A.H. and J.M. All the authors reviewed and approved the final manuscript.

Data availability

All relevant data are within the paper and its Supporting Information files.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Mariana Strauss, Email: marianastr86@gmail.com.

Javier Martín, Email: javiermartin@ipb.csic.es.

Marialbert Acosta-Herrera, Email: m.acostaherrera@ipb.csic.es.

Chagas Genetics CYTED Network:

Patricia A. Paglini, Alejandro G. Schijman, Carlos Robello, Luis E. Echeverría, Gilberto Vargas-Alarcón, José E. Calzada, Mercedes Fernández-Mestre, Manuel Fresno, and Maria Jesus Pinazo

Supplementary information

is available for this paper at 10.1038/s41598-020-61965-5.

References

  • 1.WHO. Fourth WHO report on neglected tropical diseases. (Integrating neglected tropical diseases into global health and development, 2017).
  • 2.Coura JR, Dias JC. Epidemiology, control and surveillance of Chagas disease: 100 years after its discovery. Mem. Inst. Oswaldo Cruz. 2009;104(Suppl 1):31–40. doi: 10.1590/S0074-02762009000900006. [DOI] [PubMed] [Google Scholar]
  • 3.Coura JR. Chagas disease: what is known and what is needed–a background article. Mem. Inst. Oswaldo Cruz. 2007;102(Suppl 1):113–22. doi: 10.1590/S0074-02762007000900018. [DOI] [PubMed] [Google Scholar]
  • 4.Gupta S, et al. TcG2/TcG4 DNA Vaccine Induces Th1 Immunity Against Acute Trypanosoma cruzi Infection: Adjuvant and Antigenic Effects of Heterologous T. rangeli Booster Immunization. Front. Immunol. 2019;10:1456. doi: 10.3389/fimmu.2019.01456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Pérez-Molina JA, Molina I. Chagas disease. Lancet. 2018;391:82–94. doi: 10.1016/S0140-6736(17)31612-4. [DOI] [PubMed] [Google Scholar]
  • 6.Martinez F, et al. Chagas Disease and Heart Failure: An Expanding Issue Worldwide. Eur. Cardiol. 2019;14(2):82–88. doi: 10.15420/ecr.2018.30.2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Umezawa ES, et al. Chagas’ disease. Lancet. 2002;359:627. doi: 10.1016/S0140-6736(02)07729-2. [DOI] [PubMed] [Google Scholar]
  • 8.da Matta Guedes PM, et al. IL-17 produced during Trypanosoma cruzi infection plays a central role in regulating parasite-induced myocarditis. PLoS Negl. Trop. Dis. 2010;4:e604. doi: 10.1371/journal.pntd.0000604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Cai CW, Blase JR, Zhang X, Eickhoff CS, Hoft DF. Th17 Cells Are More Protective Than Th1 Cells Against the Intracellular Parasite Trypanosoma cruzi. PLoS Pathog. 2016;12:e1005902. doi: 10.1371/journal.ppat.1005902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bermejo DA, et al. Trypanosoma cruzi trans-sialidase initiates a program independent of the transcription factors RORgammat and Ahr that leads to IL-17 production by activated B cells. Nat. Immunol. 2013;14:514–22. doi: 10.1038/ni.2569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gorosito Serran M, et al. Unconventional Pro-inflammatory CD4(+) T Cell Response in B Cell-Deficient Mice Infected with Trypanosoma cruzi. Front. Immunol. 2017;8:1548. doi: 10.3389/fimmu.2017.01548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Miyazaki Y, et al. IL-17 is necessary for host protection against acute-phase Trypanosoma cruzi infection. J. Immunol. 2010;185:1150–7. doi: 10.4049/jimmunol.0900047. [DOI] [PubMed] [Google Scholar]
  • 13.Chen K, Kolls JK. Interluekin-17A (IL17A) Gene. 2017;614:8–14. doi: 10.1016/j.gene.2017.01.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Almeida MS, et al. Alternative Th17 and CD4(+) CD25(+) FoxP3(+) cell frequencies increase and correlate with worse cardiac function in Chagas cardiomyopathy. Scand. J. Immunol. 2018;87:e12650. doi: 10.1111/sji.12650. [DOI] [PubMed] [Google Scholar]
  • 15.Bestetti RB, et al. Determination of the Th1, Th2, Th17, and Treg cytokine profile in patients with chronic Chagas heart disease and systemic arterial hypertension. Heart Vessel. 2019;34:123–133. doi: 10.1007/s00380-018-1228-z. [DOI] [PubMed] [Google Scholar]
  • 16.Cunha-Neto E, Chevillard C. Chagas disease cardiomyopathy: immunopathology and genetics. Mediators Inflamm. 2014;2014:683230. doi: 10.1155/2014/683230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ortega Zamora, Y. et al. Chagas disease immunogenetics: elusive markers of disease progression. Expert Rev Cardiovasc Ther, 1–10 (2017). [DOI] [PubMed]
  • 18.Chevillard C, et al. Disease Tolerance and Pathogen Resistance Genes May Underlie Trypanosoma cruzi Persistence and Differential Progression to Chagas Disease Cardiomyopathy. Front. Immunol. 2018;9:2791. doi: 10.3389/fimmu.2018.02791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Acosta-Herrera M, Strauss M, Casares-Marfil D, Martin J. & Chagas Genetics, C. N. Genomic medicine in Chagas disease. Acta Trop. 2019;197:105062. doi: 10.1016/j.actatropica.2019.105062. [DOI] [PubMed] [Google Scholar]
  • 20.Espinoza JL, et al. A genetic variant in the IL-17 promoter is functionally associated with acute graft-versus-host disease after unrelated bone marrow transplantation. PLoS One. 2011;6:e26229. doi: 10.1371/journal.pone.0026229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Keshavarz M, et al. Association of polymorphisms in inflammatory cytokines encoding genes with severe cases of influenza A/H1N1 and B in an Iranian population. Virol. J. 2019;16:79. doi: 10.1186/s12985-019-1187-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Batista AM, et al. Genetic Polymorphism at CCL5 Is Associated With Protection in Chagas’ Heart Disease: Antagonistic Participation of CCR1(+) and CCR5(+) Cells in Chronic Chagasic Cardiomyopathy. Front. Immunol. 2018;9:615. doi: 10.3389/fimmu.2018.00615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Vuononvirta J, Peltola V, Ilonen J, Mertsola J, He Q. The Gene Polymorphism of IL-17 G-152A is Associated with Increased Colonization of Streptococcus pneumoniae in Young Finnish Children. Pediatr. Infect. Dis. J. 2015;34:928–32. doi: 10.1097/INF.0000000000000691. [DOI] [PubMed] [Google Scholar]
  • 24.Gonçalves de Albuquerque SDC, et al. Study of association of the rs2275913 IL-17A single nucleotide polymorphism and susceptibility to cutaneous leishmaniasis caused by Leishmania braziliensis. Cytokine. 2019;123:154784. doi: 10.1016/j.cyto.2019.154784. [DOI] [PubMed] [Google Scholar]
  • 25.Keramat F, et al. Association of interleukin-17 gene polymorphisms and susceptibility to brucellosis in Hamadan, western Iran. Microbiol. Immunol. 2019;63:139–146. doi: 10.1111/1348-0421.12675. [DOI] [PubMed] [Google Scholar]
  • 26.Eskandari-Nasab E, et al. Interleukin-17 A and F gene polymorphisms affect the risk of tuberculosis: An updated meta-analysis. Indian. J. Tuberc. 2018;65:200–207. doi: 10.1016/j.ijtb.2017.08.027. [DOI] [PubMed] [Google Scholar]
  • 27.Leon Rodriguez DA, Echeverria LE, Gonzalez CI, Martin J. Investigation of the role of IL17A gene variants in Chagas disease. Genes. Immun. 2015;16:536–40. doi: 10.1038/gene.2015.42. [DOI] [PubMed] [Google Scholar]
  • 28.Reis PG, et al. Genetic Polymorphisms of IL17 and Chagas Disease in the South and Southeast of Brazil. J. Immunol. Res. 2017;2017:1017621. doi: 10.1155/2017/1017621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Genomes Project C, et al. An integrated map of genetic variation from 1,092 human genomes. Nat. 2012;491:56–65. doi: 10.1038/nature11632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Zhang H, et al. A Powerful Procedure for Pathway-Based Meta-analysis Using Summary Statistics Identifies 43 Pathways Associated with Type II Diabetes in European Populations. PLoS Genet. 2016;12:e1006122. doi: 10.1371/journal.pgen.1006122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Lona-Durazo F, et al. Meta-analysis of GWA studies provides new insights on the genetic architecture of skin pigmentation in recently admixed populations. BMC Genet. 2019;20:59. doi: 10.1186/s12863-019-0765-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Taylor PR, et al. Activation of neutrophils by autocrine IL-17A-IL-17RC interactions during fungal infection is regulated by IL-6, IL-23, RORgammat and dectin-2. Nat. Immunol. 2014;15:143–51. doi: 10.1038/ni.2797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Nordang GB, et al. Association analysis of the interleukin 17A gene in Caucasian rheumatoid arthritis patients from Norway and New Zealand. Rheumatol. 2009;48:367–70. doi: 10.1093/rheumatology/ken512. [DOI] [PubMed] [Google Scholar]
  • 34.Duan Y, Shi JN, Pan C, Chen HL, Zhang SZ. Association between the interleukin-17A -197G>A (rs2275913) polymorphism and risk of digestive cancer. Asian Pac. J. Cancer Prev. 2014;15:9295–300. doi: 10.7314/APJCP.2014.15.21.9295. [DOI] [PubMed] [Google Scholar]
  • 35.Hayashi R, et al. Influence of IL17A polymorphisms (rs2275913 and rs3748067) on the susceptibility to ulcerative colitis. Clin. Exp. Med. 2013;13:239–44. doi: 10.1007/s10238-012-0206-5. [DOI] [PubMed] [Google Scholar]
  • 36.Pasha HF, Tantawy EA, Youssef MA. Osteopontin and interleukin-17A genes polymorphisms in Egyptian systemic lupus erythematosus patients: A relation to disease activity and severity. Gene. 2019;702:107–113. doi: 10.1016/j.gene.2019.02.100. [DOI] [PubMed] [Google Scholar]
  • 37.Rolandelli A, et al. The IL-17A rs2275913 single nucleotide polymorphism is associated with protection to tuberculosis but related to higher disease severity in Argentina. Sci. Rep. 2017;7:40666. doi: 10.1038/srep40666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Huang HT, et al. The association of IL-17A polymorphisms with IL-17A serum levels and risk of ischemic stroke. Oncotarget. 2017;8:103499–103508. doi: 10.18632/oncotarget.21498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Li N, et al. IL17A gene polymorphisms, serum IL-17A and IgE levels, and hepatocellular carcinoma risk in patients with chronic hepatitis B virus infection. Mol. Carcinog. 2014;53:447–57. doi: 10.1002/mc.21992. [DOI] [PubMed] [Google Scholar]
  • 40.Mohammadipour K, Mansouri R, Salmanpour R, Haghshenas MR, Erfani N. Investigation of Interleukin-17 Gene Polymorphisms and Serum Levels in Patients with Basal Cell Carcinoma of the Skin. Iran. J. Immunol. 2019;16:53–61. doi: 10.22034/IJI.2019.39406. [DOI] [PubMed] [Google Scholar]
  • 41.Vesely MCA, Rodriguez C, Gruppi A, Rodríguez EVA. Interleukin-17 mediated immunity during infections with Trypanosoma cruzi and other protozoans. Biochim. Biophys. Acta Mol. Basis Dis. 2020;24:165706. doi: 10.1016/j.bbadis.2020.165706. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Nogueira, L.G. et al. Myocardial gene expression of T‐bet, GATA‐3, Ror‐γ t, FoxP3, and hallmark cytokines in chronic Chagas disease cardiomyopathy: an essentially unopposed T‐Type response. Mediators Inflamm 914326 (2014). [DOI] [PMC free article] [PubMed]
  • 43.Sousa GR, et al. Plasma cytokine expression is associated with cardiac morbidity in chagas disease. PLoS One. 2014;9:e87082. doi: 10.1371/journal.pone.0087082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Guedes PMM, et al. Deficient regulatory T cell activity and low frequency of IL‐17‐producing T cells correlate with the extent of cardiomyopathy in human Chagas’ disease. PLoS Negl. Trop. Dis. 2012;6:e1630. doi: 10.1371/journal.pntd.0001630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Magalhaes LM, et al. High interleukin 17 expression is correlated with better cardiac function in human Chagas disease. J. Infect. Dis. 2013;207(4):661–5. doi: 10.1093/infdis/jis724. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Bryc K, et al. Colloquium paper: genome-wide patterns of population structure and admixture among Hispanic/Latino populations. Proc. Natl Acad. Sci. USA. 2010;107(Suppl 2):8954–61. doi: 10.1073/pnas.0914618107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Hirschhorn JN, Lohmueller K, Byrne E, Hirschhorn K. A comprehensive review of genetic association studies. Genet. Med. 2002;4:45–61. doi: 10.1097/00125817-200203000-00002. [DOI] [PubMed] [Google Scholar]
  • 48.Norris ET, et al. Genetic ancestry, admixture and health determinants in Latin America. BMC Genomics. 2018;19:861. doi: 10.1186/s12864-018-5195-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Tavakolpour S, Darvishi M, Ghasemiadl M. Pharmacogenetics: A strategy for personalized medicine for autoimmune diseases. Clin. Genet. 2018;93:481–497. doi: 10.1111/cge.13186. [DOI] [PubMed] [Google Scholar]
  • 50.Rojo G, et al. Toxic and therapeutic effects of Nifurtimox and Benznidazol on Trypanosoma cruzi ex vivo infection of human placental chorionic villi explants. Acta Trop. 2014;132:112–8. doi: 10.1016/j.actatropica.2014.01.002. [DOI] [PubMed] [Google Scholar]
  • 51.Salvador F, et al. Evaluation of cytokine profile and HLA association in benznidazole related cutaneous reactions in patients with Chagas disease. Clin. Infect. Dis. 2015;61(Suppl 11):1688–94. doi: 10.1093/cid/civ690. [DOI] [PubMed] [Google Scholar]
  • 52.Strauss M, et al. Association of IL18 genetic polymorphisms with Chagas disease in Latin American populations. PLoS Negl. Trop. Dis. 2019;13:e0007859. doi: 10.1371/journal.pntd.0007859. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Wang JY, et al. The polymorphisms of interleukin 17A (IL17A) gene and its association with pediatric asthma in Taiwanese population. Allergy. 2009;64:1056–60. doi: 10.1111/j.1398-9995.2009.01950.x. [DOI] [PubMed] [Google Scholar]
  • 54.Chang CC, et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience. 2015;4:7. doi: 10.1186/s13742-015-0047-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Han B, Eskin E. Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. Am. J. Hum. Genet. 2011;88:586–98. doi: 10.1016/j.ajhg.2011.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Armstrong RA. When to use the Bonferroni correction. Ophthalmic Physiol. Opt. 2014;34:502–8. doi: 10.1111/opo.12131. [DOI] [PubMed] [Google Scholar]
  • 57.Skol AD, Scott LJ, Abecasis GR, Boehnke M. Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies. Nat. Genet. 2006;38:209–13. doi: 10.1038/ng1706. [DOI] [PubMed] [Google Scholar]
  • 58.Ward LD, Kellis M. HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease. Nucleic Acids Res. 2016;44:D877–81. doi: 10.1093/nar/gkv1340. [DOI] [PMC free article] [PubMed] [Google Scholar]

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