A multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses

Abstract The extreme genetic diversity of the protozoan Trypanosoma cruzi has been proposed to be associated with the clinical outcomes of the disease it provokes: Chagas disease (CD). To address this question, we analysed the similarities and differences in the CD pathophysiogenesis caused by diffe...

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Autores principales: Julien Santi-Rocca, Fernando Fernandez-Cortes, Carlos Chillón-Marinas, María-Luisa González-Rubio, David Martin, Núria Gironès, Manuel Fresno
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/8e3114f5db514579aa2a01d6f50a88a7
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spelling oai:doaj.org-article:8e3114f5db514579aa2a01d6f50a88a72021-12-02T16:05:59ZA multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses10.1038/s41598-017-08086-82045-2322https://doaj.org/article/8e3114f5db514579aa2a01d6f50a88a72017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08086-8https://doaj.org/toc/2045-2322Abstract The extreme genetic diversity of the protozoan Trypanosoma cruzi has been proposed to be associated with the clinical outcomes of the disease it provokes: Chagas disease (CD). To address this question, we analysed the similarities and differences in the CD pathophysiogenesis caused by different parasite strains. Using syngeneic mice infected acutely or chronically with 6 distant parasite strains, we integrated simultaneously 66 parameters: parasite tropism (7 parameters), organ and immune responses (local and systemic; 57 parameters), and clinical presentations of CD (2 parameters). While the parasite genetic background consistently impacts most of these parameters, they remain highly variable, as observed in patients, impeding reliable one-dimensional association with phases, strains, and damage. However, multi-dimensional statistics overcame this extreme intra-group variability for each individual parameter and revealed some pathophysiological patterns that accurately allow defining (i) the infection phase, (ii) the infecting parasite strains, and (iii) organ damage type and intensity. Our results demonstrated a greater variability of clinical outcomes and host responses to T. cruzi infection than previously thought, while our multi-parametric analysis defined common pathophysiological patterns linked to clinical outcome of CD, conserved among the genetically diverse infecting strains.Julien Santi-RoccaFernando Fernandez-CortesCarlos Chillón-MarinasMaría-Luisa González-RubioDavid MartinNúria GironèsManuel FresnoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Julien Santi-Rocca
Fernando Fernandez-Cortes
Carlos Chillón-Marinas
María-Luisa González-Rubio
David Martin
Núria Gironès
Manuel Fresno
A multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses
description Abstract The extreme genetic diversity of the protozoan Trypanosoma cruzi has been proposed to be associated with the clinical outcomes of the disease it provokes: Chagas disease (CD). To address this question, we analysed the similarities and differences in the CD pathophysiogenesis caused by different parasite strains. Using syngeneic mice infected acutely or chronically with 6 distant parasite strains, we integrated simultaneously 66 parameters: parasite tropism (7 parameters), organ and immune responses (local and systemic; 57 parameters), and clinical presentations of CD (2 parameters). While the parasite genetic background consistently impacts most of these parameters, they remain highly variable, as observed in patients, impeding reliable one-dimensional association with phases, strains, and damage. However, multi-dimensional statistics overcame this extreme intra-group variability for each individual parameter and revealed some pathophysiological patterns that accurately allow defining (i) the infection phase, (ii) the infecting parasite strains, and (iii) organ damage type and intensity. Our results demonstrated a greater variability of clinical outcomes and host responses to T. cruzi infection than previously thought, while our multi-parametric analysis defined common pathophysiological patterns linked to clinical outcome of CD, conserved among the genetically diverse infecting strains.
format article
author Julien Santi-Rocca
Fernando Fernandez-Cortes
Carlos Chillón-Marinas
María-Luisa González-Rubio
David Martin
Núria Gironès
Manuel Fresno
author_facet Julien Santi-Rocca
Fernando Fernandez-Cortes
Carlos Chillón-Marinas
María-Luisa González-Rubio
David Martin
Núria Gironès
Manuel Fresno
author_sort Julien Santi-Rocca
title A multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses
title_short A multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses
title_full A multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses
title_fullStr A multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses
title_full_unstemmed A multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses
title_sort multi-parametric analysis of trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/8e3114f5db514579aa2a01d6f50a88a7
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