Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis

Pulmonary fibrosis is a devastating disease, and the pathogenesis of this disease is not completely clear. Here, the medical records of 85 Covid-19 cases were collected, among which fibrosis and progression of fibrosis were analyzed in detail. Next, data independent acquisition (DIA) quantification...

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Autores principales: Yang, Jianrong, Chen, Chunxia, Chen, Wan, Huang, Luying, Fu, Zhao, Ye, Kun, Lv, Liwen, Nong, Zhihuang, Zhou, Xing, Lu, Wensheng, Zhong, Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285535/
https://www.ncbi.nlm.nih.gov/pubmed/34272434
http://dx.doi.org/10.1038/s41598-021-94256-8
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author Yang, Jianrong
Chen, Chunxia
Chen, Wan
Huang, Luying
Fu, Zhao
Ye, Kun
Lv, Liwen
Nong, Zhihuang
Zhou, Xing
Lu, Wensheng
Zhong, Mei
author_facet Yang, Jianrong
Chen, Chunxia
Chen, Wan
Huang, Luying
Fu, Zhao
Ye, Kun
Lv, Liwen
Nong, Zhihuang
Zhou, Xing
Lu, Wensheng
Zhong, Mei
author_sort Yang, Jianrong
collection PubMed
description Pulmonary fibrosis is a devastating disease, and the pathogenesis of this disease is not completely clear. Here, the medical records of 85 Covid-19 cases were collected, among which fibrosis and progression of fibrosis were analyzed in detail. Next, data independent acquisition (DIA) quantification proteomics and untargeted metabolomics were used to screen disease-related signaling pathways through clustering and enrichment analysis of the differential expression of proteins and metabolites. The main imaging features were lesions located in the bilateral lower lobes and involvement in five lobes. The closed association pathways were FcγR-mediated phagocytosis, PPAR signaling, TRP-inflammatory pathways, and the urea cycle. Our results provide evidence for the detection of serum biomarkers and targeted therapy in patients with Covid-19.
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spelling pubmed-82855352021-07-21 Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis Yang, Jianrong Chen, Chunxia Chen, Wan Huang, Luying Fu, Zhao Ye, Kun Lv, Liwen Nong, Zhihuang Zhou, Xing Lu, Wensheng Zhong, Mei Sci Rep Article Pulmonary fibrosis is a devastating disease, and the pathogenesis of this disease is not completely clear. Here, the medical records of 85 Covid-19 cases were collected, among which fibrosis and progression of fibrosis were analyzed in detail. Next, data independent acquisition (DIA) quantification proteomics and untargeted metabolomics were used to screen disease-related signaling pathways through clustering and enrichment analysis of the differential expression of proteins and metabolites. The main imaging features were lesions located in the bilateral lower lobes and involvement in five lobes. The closed association pathways were FcγR-mediated phagocytosis, PPAR signaling, TRP-inflammatory pathways, and the urea cycle. Our results provide evidence for the detection of serum biomarkers and targeted therapy in patients with Covid-19. Nature Publishing Group UK 2021-07-16 /pmc/articles/PMC8285535/ /pubmed/34272434 http://dx.doi.org/10.1038/s41598-021-94256-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yang, Jianrong
Chen, Chunxia
Chen, Wan
Huang, Luying
Fu, Zhao
Ye, Kun
Lv, Liwen
Nong, Zhihuang
Zhou, Xing
Lu, Wensheng
Zhong, Mei
Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis
title Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis
title_full Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis
title_fullStr Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis
title_full_unstemmed Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis
title_short Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis
title_sort proteomics and metabonomics analyses of covid-19 complications in patients with pulmonary fibrosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285535/
https://www.ncbi.nlm.nih.gov/pubmed/34272434
http://dx.doi.org/10.1038/s41598-021-94256-8
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