Multicenter Study Journal Article Research Support, Non-U.S. Gov't Epublish 29 citations
PubMed: 36341434 DOI: 10.3389/fimmu.2022.936106
Metabolic Reprogramming in SARS-CoV-2 Infection Impacts the Outcome of COVID-19 Patients.
Front Immunol 13:936106
Authors: Laura E Martínez-Gómez, Isabel Ibarra-González, Cynthia Fernández-Lainez, Teresa Tusie, Hortensia Moreno-Macías, Carlos Martinez-Armenta, Guadalupe Elizabeth Jimenez-Gutierrez, Paola Vázquez-Cárdenas, Patricia Vidal-Vázquez, Juan P Ramírez-Hinojosa, Ana P Rodríguez-Zulueta, Gilberto Vargas-Alarcón, Gustavo Rojas-Velasco, Fausto Sánchez-Muñoz, Rosalinda Posadas-Sanchez, Felipe de J Martínez-Ruiz, Dulce M Zayago-Angeles, Mariana L Moreno, Edith Barajas-Galicia, Gerardo Lopez-Cisneros, Nadia C Gonzalez-Fernández, Silvestre Ortega-Peña, Brígida Herrera-López, Jessel Olea-Torres, Manuel Juárez-Arias, Maritza Rosas-Vásquez, Sara Aileen Cabrera-Nieto, Jonathan J Magaña, María Del Carmen Camacho-Rea, Carlos Suarez-Ahedo, Irma Coronado-Zarco, M Y Valdespino-Vázquez, Gabriela Angélica Martínez-Nava, Carlos Pineda, Marcela Vela-Amieva, Alberto López-Reyes
Affiliations
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico.
- Unidad de Genética de la Nutrición, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico.
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México, Mexico.
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Instituto de Investigaciones Biomédicas UNAM, Ciudad de México, Mexico.
- Departamento de Economía. División de Ciencias Sociales y Humanidades, Universidad Autónoma Metropolitana, Iztapalapa, Ciudad de México, Mexico.
- Posgrado en Biología Experimental, Dirección de Ciencias Biológicas y de la Salud (DCBS), Universidad Autónoma Metropolitana Iztapalapa, Ciudad de México, Mexico.
- Centro de Innovación Médica Aplicada, Subdirección de Epidemiología e Infectología, Hospital General Dr. Manuel Gea González, Secretaría de Salud, Ciudad de México, Mexico.
- Departamentos de Biología Molecular, Inmunología, Endocrinologia y Unidad de Cuidados Intensivos, Instituto Nacional de Cardiología Ignacio Chavez, Secretaría de Salud, Ciudad de México, Mexico.
- Nuevo Hospital General Delegación Regional Sur de la Ciudad de México, Instituto de Seguridad y Servicios Sociales para los Trabajadores del Estado (ISSSTE), Ciudad de México, Mexico.
- Hospital Central Norte Petróleos Mexicanos (PEMEX), Estado de México, Mexico City, Mexico.
- Unidad de Investigación y Desarrollo en Alimentos, Tecnológico Nacional de México/Instituto Tecnológico (IT) Veracruz, Veracruz, Mexico.
- Posgrado en Ciencias Médicas, Facultad de Ciencias de la Salud, Universidad Anáhuac, Ciudad de México, Mexico.
- Departamento de Nutrición Animal, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Secretaría de Salud, Ciudad de México, Mexico.
- Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Ciudad de México, Mexico.
Abstract
Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection triggers inflammatory clinical stages that affect the outcome of patients with coronavirus disease 2019 (COVID-19). Disease severity may be associated with a metabolic imbalance related to amino acids, lipids, and energy-generating pathways. The aim of this study was to characterize the profile of amino acids and acylcarnitines in COVID-19 patients. A multicenter, cross-sectional study was carried out. A total of 453 individuals were classified by disease severity. Levels of 11 amino acids, 31 acylcarnitines, and succinylacetone in serum samples were analyzed by electrospray ionization-triple quadrupole tandem mass spectrometry. Different clusters were observed in partial least squares discriminant analysis, with phenylalanine, alanine, citrulline, proline, and succinylacetone providing the major contribution to the variability in each cluster (variable importance in the projection >1.5). In logistic models adjusted by age, sex, type 2 diabetes mellitus, hypertension, and nutritional status, phenylalanine was associated with critical outcomes (odds ratio=5.3 (95% CI 3.16-9.2) in the severe vs. critical model, with an area under the curve of 0.84 (95% CI 0.77-0.90). In conclusion the metabolic imbalance in COVID-19 patients might affect disease progression. This work shows an association of phenylalanine with critical outcomes in COVID-19 patients, highlighting phenylalanine as a potential metabolic biomarker of disease severity.
MeSH
Diabetes Mellitus, Coronavirus, Sars-Cov-2, Alanine, Amino Acids, Phenylalanine, Covid-19, Immune System Diseases, Metabolomics, Severe Acute Respiratory Syndrome-Related Coronavirus, Infections, Diabetes Mellitus, Type 2
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