A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients.
Resumen:
COVID-19 was the most significant infectious-agent-related cause of death in the 2020-2021 period. On average, over 60% of those admitted to ICU facilities with this disease died across the globe. In severe cases, COVID-19 leads to respiratory and systemic compromise, including pneumonia-like symptoms, acute respiratory distress syndrome, and multiorgan failure. While the upper respiratory tract and lungs are the principal sites of infection and injury, most studies on the metabolic signatures in COVID-19 patients have been carried out on serum and plasma samples. In this report we attempt to characterize the metabolome of lung parenchyma extracts from fatal COVID-19 cases and compare them with that from other respiratory diseases. Our findings indicate that the metabolomic profiles from fatal COVID-19 and non-COVID-19 cases are markedly different, with the former being the result of increased lactate and amino acid metabolism, altered energy pathways, oxidative stress, and inflammatory response. Overall, these findings provide additional insights into the pathophysiology of COVID-19 that could lead to the development of targeted therapies for the treatment of severe cases of the disease, and further highlight the potential of metabolomic approaches in COVID-19 research.
2023 | |
ANII: FSS_X_2019_1_155219 | |
Biomarkers COVID-19 ICU patients Lung parenchyma NMR-based metabolomics |
|
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/43224 | |
Acceso abierto | |
Licencia Creative Commons Atribución (CC - By 4.0) |
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---|---|
author | Hurtado Gutiérrez, Joaquín Ignacio |
author2 | López, Andrés Izquierdo-García, José Luis Rodríguez, Fernando Moyna, Guillermo Greif, Gonzalo Nin, Nicolás |
author2_role | author author author author author author |
author_facet | Hurtado Gutiérrez, Joaquín Ignacio López, Andrés Izquierdo-García, José Luis Rodríguez, Fernando Moyna, Guillermo Greif, Gonzalo Nin, Nicolás |
author_role | author |
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collection | COLIBRI |
dc.contributor.filiacion.none.fl_str_mv | Hurtado Gutiérrez Joaquín Ignacio, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Investigaciones Nucleares. López Andrés, Universidad de la República (Uruguay). CENUR. Izquierdo-García José Luis Rodríguez Fernando, ASSE Moyna Guillermo, Universidad de la República (Uruguay). CENUR. Greif Gonzalo, Instituto Pasteur (Montevideo). Nin Nicolás, ASSE |
dc.creator.none.fl_str_mv | Hurtado Gutiérrez, Joaquín Ignacio López, Andrés Izquierdo-García, José Luis Rodríguez, Fernando Moyna, Guillermo Greif, Gonzalo Nin, Nicolás |
dc.date.accessioned.none.fl_str_mv | 2024-03-20T13:53:13Z |
dc.date.available.none.fl_str_mv | 2024-03-20T13:53:13Z |
dc.date.issued.none.fl_str_mv | 2023 |
dc.description.abstract.none.fl_txt_mv | COVID-19 was the most significant infectious-agent-related cause of death in the 2020-2021 period. On average, over 60% of those admitted to ICU facilities with this disease died across the globe. In severe cases, COVID-19 leads to respiratory and systemic compromise, including pneumonia-like symptoms, acute respiratory distress syndrome, and multiorgan failure. While the upper respiratory tract and lungs are the principal sites of infection and injury, most studies on the metabolic signatures in COVID-19 patients have been carried out on serum and plasma samples. In this report we attempt to characterize the metabolome of lung parenchyma extracts from fatal COVID-19 cases and compare them with that from other respiratory diseases. Our findings indicate that the metabolomic profiles from fatal COVID-19 and non-COVID-19 cases are markedly different, with the former being the result of increased lactate and amino acid metabolism, altered energy pathways, oxidative stress, and inflammatory response. Overall, these findings provide additional insights into the pathophysiology of COVID-19 that could lead to the development of targeted therapies for the treatment of severe cases of the disease, and further highlight the potential of metabolomic approaches in COVID-19 research. |
dc.description.sponsorship.none.fl_txt_mv | ANII: FSS_X_2019_1_155219 |
dc.format.extent.es.fl_str_mv | 9 h. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
dc.identifier.citation.es.fl_str_mv | Hurtado Gutiérrez, J, López, A, Izquierdo-García, J [y otros autores]. "A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients". Frontiers in Molecular Biosciences. [en línea] 2023, 10: 1295216. 9 h. DOI: 10.3389/fmolb.2023.1295216. |
dc.identifier.doi.none.fl_str_mv | 10.3389/fmolb.2023.1295216 |
dc.identifier.issn.none.fl_str_mv | 2296-889X |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/43224 |
dc.language.iso.none.fl_str_mv | en eng |
dc.publisher.es.fl_str_mv | Frontiers |
dc.relation.ispartof.es.fl_str_mv | Frontiers in Molecular Biosciences, 2023, 10: 1295216. |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | Biomarkers COVID-19 ICU patients Lung parenchyma NMR-based metabolomics |
dc.title.none.fl_str_mv | A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients. |
dc.type.es.fl_str_mv | Artículo |
dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | COVID-19 was the most significant infectious-agent-related cause of death in the 2020-2021 period. On average, over 60% of those admitted to ICU facilities with this disease died across the globe. In severe cases, COVID-19 leads to respiratory and systemic compromise, including pneumonia-like symptoms, acute respiratory distress syndrome, and multiorgan failure. While the upper respiratory tract and lungs are the principal sites of infection and injury, most studies on the metabolic signatures in COVID-19 patients have been carried out on serum and plasma samples. In this report we attempt to characterize the metabolome of lung parenchyma extracts from fatal COVID-19 cases and compare them with that from other respiratory diseases. Our findings indicate that the metabolomic profiles from fatal COVID-19 and non-COVID-19 cases are markedly different, with the former being the result of increased lactate and amino acid metabolism, altered energy pathways, oxidative stress, and inflammatory response. Overall, these findings provide additional insights into the pathophysiology of COVID-19 that could lead to the development of targeted therapies for the treatment of severe cases of the disease, and further highlight the potential of metabolomic approaches in COVID-19 research. |
eu_rights_str_mv | openAccess |
format | article |
id | COLIBRI_e38ddac40c69d45ae6d0def57001c5dc |
identifier_str_mv | Hurtado Gutiérrez, J, López, A, Izquierdo-García, J [y otros autores]. "A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients". Frontiers in Molecular Biosciences. [en línea] 2023, 10: 1295216. 9 h. DOI: 10.3389/fmolb.2023.1295216. 2296-889X 10.3389/fmolb.2023.1295216 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43224 |
publishDate | 2023 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
spelling | Hurtado Gutiérrez Joaquín Ignacio, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Investigaciones Nucleares.López Andrés, Universidad de la República (Uruguay). CENUR.Izquierdo-García José LuisRodríguez Fernando, ASSEMoyna Guillermo, Universidad de la República (Uruguay). CENUR.Greif Gonzalo, Instituto Pasteur (Montevideo).Nin Nicolás, ASSE2024-03-20T13:53:13Z2024-03-20T13:53:13Z2023Hurtado Gutiérrez, J, López, A, Izquierdo-García, J [y otros autores]. "A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients". Frontiers in Molecular Biosciences. [en línea] 2023, 10: 1295216. 9 h. DOI: 10.3389/fmolb.2023.1295216.2296-889Xhttps://hdl.handle.net/20.500.12008/4322410.3389/fmolb.2023.1295216COVID-19 was the most significant infectious-agent-related cause of death in the 2020-2021 period. On average, over 60% of those admitted to ICU facilities with this disease died across the globe. In severe cases, COVID-19 leads to respiratory and systemic compromise, including pneumonia-like symptoms, acute respiratory distress syndrome, and multiorgan failure. While the upper respiratory tract and lungs are the principal sites of infection and injury, most studies on the metabolic signatures in COVID-19 patients have been carried out on serum and plasma samples. In this report we attempt to characterize the metabolome of lung parenchyma extracts from fatal COVID-19 cases and compare them with that from other respiratory diseases. Our findings indicate that the metabolomic profiles from fatal COVID-19 and non-COVID-19 cases are markedly different, with the former being the result of increased lactate and amino acid metabolism, altered energy pathways, oxidative stress, and inflammatory response. Overall, these findings provide additional insights into the pathophysiology of COVID-19 that could lead to the development of targeted therapies for the treatment of severe cases of the disease, and further highlight the potential of metabolomic approaches in COVID-19 research.Submitted by Pintos Natalia (nataliapintosmvd@gmail.com) on 2024-03-19T20:39:50Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.3389.fmolb.2023.1295216.pdf: 1137712 bytes, checksum: f3bd1f6558b773fcccca6dce1a4171b9 (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2024-03-20T12:13:57Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.3389.fmolb.2023.1295216.pdf: 1137712 bytes, checksum: f3bd1f6558b773fcccca6dce1a4171b9 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-03-20T13:53:13Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.3389.fmolb.2023.1295216.pdf: 1137712 bytes, checksum: f3bd1f6558b773fcccca6dce1a4171b9 (MD5) Previous issue date: 2023ANII: FSS_X_2019_1_1552199 h.application/pdfenengFrontiersFrontiers in Molecular Biosciences, 2023, 10: 1295216.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse |
spellingShingle | A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients. Hurtado Gutiérrez, Joaquín Ignacio Biomarkers COVID-19 ICU patients Lung parenchyma NMR-based metabolomics |
status_str | publishedVersion |
title | A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients. |
title_full | A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients. |
title_fullStr | A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients. |
title_full_unstemmed | A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients. |
title_short | A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients. |
title_sort | A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients. |
topic | Biomarkers COVID-19 ICU patients Lung parenchyma NMR-based metabolomics |
url | https://hdl.handle.net/20.500.12008/43224 |