Correlation of blood-based immune molecules with cardiac gene expression profiles reveals insights into Chagas cardiomyopathy pathogenesis.

Autor:	Souza-Silva TG; Laboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Neves EGA; Laboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Koh C; Laboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Teixeira-Carvalho A; Rene Rachou Institute, Fundação Oswaldo Cruz (FIOCRUZ), Belo Horizonte, MG, Brazil., Araújo SS; Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Nunes MDCP; Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Gomes JAS; Laboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Gollob KJ; Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.; Instituto Nacional de Ciências e Tecnologia em Doenças Tropicais, Belo Horizonte, Brazil., Dutra WO; Laboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.; Instituto Nacional de Ciências e Tecnologia em Doenças Tropicais, Belo Horizonte, Brazil.
Jazyk:	angličtina
Zdroj:	Frontiers in immunology [Front Immunol] 2024 Feb 08; Vol. 15, pp. 1338582. Date of Electronic Publication: 2024 Feb 08 (Print Publication: 2024).
DOI:	10.3389/fimmu.2024.1338582
Abstrakt:	Introduction: Understanding compartmentalized immune responses in target organs is crucial for elucidating the pathogenesis of various diseases. However, obtaining samples from affected vital organs often poses safety challenges. In this study, we aimed to investigate potential correlations between the levels of disease-associated immune molecules in the bloodstream with their gene expression profiles in the hearts of patients suffering from Chagas Cardiomyopathy (CCC). This debilitating and often fatal condition is caused by infection with the protozoan Trypanosoma cruzi. Methods: Blood samples were analyzed using the Bio-Plex platform. Gene Expression Omnibus (GEO) database was used to determine gene expression profile in heart tissue from CCC and non-Chagas controls (CTRL). Results: Elevated levels of inflammatory cytokines were detected in the plasma of CCC patients, and these levels correlated with clinical indicators of deteriorating cardiac function. Notably, 75% of the soluble factors assessed in the plasma exhibited a consistent relationship with their gene expression levels in the cardiac tissue of CCC patients. Analysis of interactions and signaling pathways related to these molecules revealed an overrepresentation of inflammatory pathways in both blood and heart compartments. Moreover, we identified that differentially expressed genes in CCC cardiac tissue were primarily associated with T-cell signaling pathways and correlated with the presence of CD8+ T cells in the myocardium. Discussion: Our findings establish a strong correlation between relevant immune molecules and their signaling pathways in both the blood and heart tissue in CCC. This validates the use of blood as a non-invasive medium for understanding immunopathology and identifying markers for cardiac dysfunction in Chagas disease. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor JF declared a past co-authorship with one of the authors JG. (Copyright © 2024 Souza-Silva, Neves, Koh, Teixeira-Carvalho, Araújo, Nunes, Gomes, Gollob and Dutra.)
Databáze:	MEDLINE
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