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01.12.2017 | Research article | Ausgabe 1/2017 Open Access

BMC Infectious Diseases 1/2017

Differential cytokine profiling in Chagasic patients according to their arrhythmogenic-status

Zeitschrift:
BMC Infectious Diseases > Ausgabe 1/2017
Autoren:
Héctor Rodríguez-Angulo, Juan Marques, Ivan Mendoza, Marco Villegas, Alfredo Mijares, Núria Gironès, Manuel Fresno
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s12879-017-2324-x) contains supplementary material, which is available to authorized users.

Abstract

Background

Chagas disease is caused by the protozoan Trypanosoma cruzi and is characterized by heart failure and sudden death. Identifying which factors are involved in evolution and treatment response is actually challenging.
Thus, the aim of this work was to determine the Th1/Th17 (IL-6, IL-2, TNF, IL-17 and IFN-γ) and Th2 (IL-4 and IL-10) serum profile in Venezuelan Chagasic patients stratified according amiodarone treatment, hypertension and arrhythmias.

Methods

Sera from 38 chagasic patients were analyzed to determine the level of cytokines by Multiplexed Bead-Based Immunoassays. ANOVA test was applied to determine differences for each group. Additionally, a Linear Discriminant Analysis (LDA) was applied to observe the accuracy of different cytokines to discriminate between the groups.

Results

The levels of several cytokines were significantly higher in the high-risk of sudden death and untreated group. LDA showed that IL-2, IFN-γ and IL-10 were the best cytokines for discriminating between high-risk of sudden death and untreated patients versus low-risk of sudden death, treated and control groups.

Conclusions

High IL-2 levels seem to identify patients with high-risk of sudden death and seems adequate as treatment efficacy marker. To our knowledge, this is the first report about the anti-inflammatory role of the amiodarone in Chagas disease, suggesting an inmunomodulatory effect that may be exploited as coadjutant therapy in chronic Chagas disease.
Zusatzmaterial
Additional file 1: Figure S1. One phase association fit curves for pattern curve data. Axes represent association between mean fluorescence (MFI) values obtained for different know cytokine with results expressed in pg/ml (y axis). Y=Y0 + (Plateau-Y0)*(1-exp.(-K*x)) equation was used for calculating cytokine concentration for patient samples. Figure S2. High producer frequencies for Lown stratified Chagasic patients. Bar graph shows the percentage of high producers for the different cytokines studied for Lown clinical scoring. Control high producer’s percentages is showed as dotted line and Chagasic frequencies (high & low SD risk) as bars. Threshold to determining high producers was calculated on ROC curve values for patients included in this group. Figure S3. High producer frequencies for blood pressure stratified Chagasic patients. Bar graph shows the percentage of high producers for the different cytokines studied for blood pressure clinical scoring. Control high producer’s percentages is showed as dotted line and Chagasic frequencies (normotensive & hypertensive) as bars. Threshold to determining high producers was calculated on ROC curve values for patients included in this group. Figure S3. High producer frequencies for amiodarone treatment stratified Chagasic patients. Bar graph shows the percentage of high producers for the different cytokines studied for blood pressure clinical scoring. Control high producer’s percentages is showed as dotted line and Chagasic frequencies (untreated & treated) as bars. Threshold to determining high producers was calculated on ROC curve values for patients included in this group. (XLSX 980 kb)
12879_2017_2324_MOESM1_ESM.xlsx
Literatur
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