Identification of Chagas disease biomarkers using untargeted metabolomics.

Autor: Herreros-Cabello A; Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.; Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain., Bosch-Nicolau P; Infectious Diseases Department, Vall d'Hebron University Hospital, International Health Unit Vall d'Hebron-Drassanes, PROSICS Barcelona, Barcelona, Spain.; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain., Pérez-Molina JA; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.; National Referral Unit for Tropical Diseases, Infectious Diseases Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain., Salvador F; Infectious Diseases Department, Vall d'Hebron University Hospital, International Health Unit Vall d'Hebron-Drassanes, PROSICS Barcelona, Barcelona, Spain.; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain., Monge-Maillo B; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.; National Referral Unit for Tropical Diseases, Infectious Diseases Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain., Rodriguez-Palomares JF; Department of Cardiology, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain.; CIBER de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain., Ribeiro ALP; Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil., Sánchez-Montalvá A; Infectious Diseases Department, Vall d'Hebron University Hospital, International Health Unit Vall d'Hebron-Drassanes, PROSICS Barcelona, Barcelona, Spain.; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain., Sabino EC; Faculdade de Medicina, Universidade de São Paulo, Instituto de Medicina Tropical de São Paulo, São Paulo, Brazil., Norman FF; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.; National Referral Unit for Tropical Diseases, Infectious Diseases Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain., Fresno M; Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.; Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain.; Instituto Universitario de Biología Molecular, Universidad Autónoma de Madrid (IUBM-UAM), Madrid, Spain.; Instituto de Investigación Sanitaria, Hospital Universitario de La Princesa, Madrid, Spain., Gironès N; Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.; Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain.; Instituto Universitario de Biología Molecular, Universidad Autónoma de Madrid (IUBM-UAM), Madrid, Spain.; Instituto de Investigación Sanitaria, Hospital Universitario de La Princesa, Madrid, Spain., Molina I; Infectious Diseases Department, Vall d'Hebron University Hospital, International Health Unit Vall d'Hebron-Drassanes, PROSICS Barcelona, Barcelona, Spain. israel.molina@vallhebron.cat.; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain. israel.molina@vallhebron.cat.; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain. israel.molina@vallhebron.cat.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Aug 13; Vol. 14 (1), pp. 18768. Date of Electronic Publication: 2024 Aug 13.
DOI: 10.1038/s41598-024-69205-w
Abstrakt: Untargeted metabolomic analysis is a powerful tool used for the discovery of novel biomarkers. Chagas disease (CD), caused by Trypanosoma cruzi, is a neglected tropical disease that affects 6-7 million people with approximately 30% developing cardiac manifestations. The most significant clinical challenge lies in its long latency period after acute infection, and the lack of surrogate markers to predict disease progression or cure. In this cross-sectional study, we analyzed sera from 120 individuals divided into four groups: 31 indeterminate CD, 41 chronic chagasic cardiomyopathy (CCC), 18 Latin Americans with other cardiomyopathies and 30 healthy volunteers. Using a high-throughput panel of 986 metabolites, we identified three distinct profiles among individuals with cardiomyopathy, indeterminate CD and healthy volunteers. After a more stringent analysis, we identified some potential biomarkers. Among peptides, phenylacetylglutamine and fibrinopeptide B (1-13) exhibited an increasing trend from controls to ICD and CCC. Conversely, reduced levels of bilirubin and biliverdin alongside elevated urobilin correlated with disease progression. Finally, elevated levels of cystathionine, phenol glucuronide and vanillactate among amino acids distinguished CCC individuals from ICD and controls. Our novel exploratory study using metabolomics identified potential biomarker candidates, either alone or in combination that if confirmed, can be translated into clinical practice.
(© 2024. The Author(s).)
Databáze: MEDLINE
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