Discriminant biomarkers of acute respiratory distress syndrome associated to H1N1 influenza identified by metabolomics HPLC-QTOF-MS/MS platform

Autor: José A. Lorente, Andrés Esteban, Laura Righetti, Federica Pellati, Francisco J. Rupérez, J. Gea, Mariano Fernández-López, Alessia Ferrarini, Juan Pablo Horcajada, Antoni J. Betbese, Jordi Ordoñez, Jesús Ruiz Cabello, Ma Paz Martínez, Annalaura Mastrangelo, Nicolás Nin
Rok vydání: 2017
Předmět:
Zdroj: ELECTROPHORESIS
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
Universitat Pompeu Fabra
ISSN: 0173-0835
DOI: 10.1002/elps.201700112
Popis: Acute Respiratory Distress Syndrome (ARDS) is a serious complication of influenza A (H1N1) virus infection. Its pathogenesis is unknown, and biomarkers are lacking. Untargeted metabolomics allows the analysis of the whole metabolome in a biological compartment, identifying patterns associated with specific conditions. We hypothesized that LC-MS could help identify discriminant metabolites able to define the metabolic alterations occurring in patients with influenza A (H1N1) virus infection that developed ARDS. Serum samples from patients diagnosed with 2009 influenza A (H1N1) virus infection with (n = 25) or without (n = 32) ARDS were obtained on the day of hospital admission and analyzed by LC-MS/MS. Metabolite identification was determined by MS/MS analysis and analysis of standards. The specificity of the patterns identified was confirmed in patients without 2009 influenza A(H1N1) virus pneumonia (15 without and 17 with ARDS). Twenty-three candidate biomarkers were found to be significantly different between the two groups, including lysophospholipids and sphingolipids related to inflammation; bile acids, tryptophan metabolites, and thyroxine, related to the metabolism of the gut microflora. Confirmation results demonstrated the specificity of major alterations occurring in ARDS patients with influenza A (H1N1) virus infection. This article is protected by copyright. All rights reserved
Databáze: OpenAIRE