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Novel insights into plasma biomarker candidates in patients with chronic mountain sickness based on proteomics
Chronic mountain sickness (CMS) is a progressive incapacitating syndrome induced by lifelong exposure to hypoxia. In the present study, proteomic analysis was used to identify the differentially expressed proteins (DEPs) and then evaluate the potential plasma biomarkers between CMS and non-CMS group...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816071/ https://www.ncbi.nlm.nih.gov/pubmed/33393624 http://dx.doi.org/10.1042/BSR20202219 |
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author | Zhang, Peili Li, Zhanquan Yang, Faman Ji, Linhua Yang, Yingzhong Liu, Chuanchuan Liu, Huihui Ma, Jie Liu, Jie Dang, Zhancui Wang, Shengyan Ge, Rili Cui, Sen |
author_facet | Zhang, Peili Li, Zhanquan Yang, Faman Ji, Linhua Yang, Yingzhong Liu, Chuanchuan Liu, Huihui Ma, Jie Liu, Jie Dang, Zhancui Wang, Shengyan Ge, Rili Cui, Sen |
author_sort | Zhang, Peili |
collection | PubMed |
description | Chronic mountain sickness (CMS) is a progressive incapacitating syndrome induced by lifelong exposure to hypoxia. In the present study, proteomic analysis was used to identify the differentially expressed proteins (DEPs) and then evaluate the potential plasma biomarkers between CMS and non-CMS groups. A total of 145 DEPs were detected in CMS Han Chinese people who live in the plateau (CMS-HPu), among which 89 were significantly up-regulated and 56 were significantly down-regulated. GO enrichment analysis showed that various biological processes were enriched, including the hydrogen peroxide metabolic/catabolic process, reactive oxygen species (ROS) metabolic, and acute inflammatory response. Protein–protein interaction analysis showed that antioxidant activity, the hydrogen peroxide catabolic process and peroxidase activity were primarily mapped in interaction proteins. Nine modules showed significantly clustering based on WGCNA analysis, with two being the most significant, and GO analysis showed that proteins of both modules were primarily enriched in oxidative stress-related biological processes. Four DEPs increased in CMS patients were evaluated as the candidate biomarkers, and three showed significant AUC: hemoglobin β chain (HB-β), thioredoxin-1 (TRX1), and phosphoglycerate kinase 1 (PGK1). The present study provides insights into the pathogenesis of CMS and further evaluates the potentially biomarkers for its prevention and treatment of it. |
format | Online Article Text |
id | pubmed-7816071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78160712021-02-04 Novel insights into plasma biomarker candidates in patients with chronic mountain sickness based on proteomics Zhang, Peili Li, Zhanquan Yang, Faman Ji, Linhua Yang, Yingzhong Liu, Chuanchuan Liu, Huihui Ma, Jie Liu, Jie Dang, Zhancui Wang, Shengyan Ge, Rili Cui, Sen Biosci Rep Bioinformatics Chronic mountain sickness (CMS) is a progressive incapacitating syndrome induced by lifelong exposure to hypoxia. In the present study, proteomic analysis was used to identify the differentially expressed proteins (DEPs) and then evaluate the potential plasma biomarkers between CMS and non-CMS groups. A total of 145 DEPs were detected in CMS Han Chinese people who live in the plateau (CMS-HPu), among which 89 were significantly up-regulated and 56 were significantly down-regulated. GO enrichment analysis showed that various biological processes were enriched, including the hydrogen peroxide metabolic/catabolic process, reactive oxygen species (ROS) metabolic, and acute inflammatory response. Protein–protein interaction analysis showed that antioxidant activity, the hydrogen peroxide catabolic process and peroxidase activity were primarily mapped in interaction proteins. Nine modules showed significantly clustering based on WGCNA analysis, with two being the most significant, and GO analysis showed that proteins of both modules were primarily enriched in oxidative stress-related biological processes. Four DEPs increased in CMS patients were evaluated as the candidate biomarkers, and three showed significant AUC: hemoglobin β chain (HB-β), thioredoxin-1 (TRX1), and phosphoglycerate kinase 1 (PGK1). The present study provides insights into the pathogenesis of CMS and further evaluates the potentially biomarkers for its prevention and treatment of it. Portland Press Ltd. 2021-01-19 /pmc/articles/PMC7816071/ /pubmed/33393624 http://dx.doi.org/10.1042/BSR20202219 Text en © 2021 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Bioinformatics Zhang, Peili Li, Zhanquan Yang, Faman Ji, Linhua Yang, Yingzhong Liu, Chuanchuan Liu, Huihui Ma, Jie Liu, Jie Dang, Zhancui Wang, Shengyan Ge, Rili Cui, Sen Novel insights into plasma biomarker candidates in patients with chronic mountain sickness based on proteomics |
title | Novel insights into plasma biomarker candidates in patients with chronic mountain sickness based on proteomics |
title_full | Novel insights into plasma biomarker candidates in patients with chronic mountain sickness based on proteomics |
title_fullStr | Novel insights into plasma biomarker candidates in patients with chronic mountain sickness based on proteomics |
title_full_unstemmed | Novel insights into plasma biomarker candidates in patients with chronic mountain sickness based on proteomics |
title_short | Novel insights into plasma biomarker candidates in patients with chronic mountain sickness based on proteomics |
title_sort | novel insights into plasma biomarker candidates in patients with chronic mountain sickness based on proteomics |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816071/ https://www.ncbi.nlm.nih.gov/pubmed/33393624 http://dx.doi.org/10.1042/BSR20202219 |
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