Unknown

Dataset Information

0

The proteomic characteristics of airway mucus from critical ill COVID-19 patients.


ABSTRACT:

Background

The pandemic of the coronavirus disease 2019 (COVID-19) has brought a global public health crisis. However, the pathogenesis underlying COVID-19 are barely understood.

Methods

In this study, we performed proteomic analyses of airway mucus obtained by bronchoscopy from severe COVID-19 patients. In total, 2351 and 2073 proteins were identified and quantified in COVID-19 patients and healthy controls, respectively.

Results

Among them, 92 differentiated expressed proteins (DEPs) (46 up-regulated and 46 down-regulated) were found with a fold change >1.5 or <0.67 and a p-value <0.05, and 375 proteins were uniquely present in airway mucus from COVID-19 patients. Pathway and network enrichment analyses revealed that the 92 DEPs were mostly associated with metabolic, complement and coagulation cascades, lysosome, and cholesterol metabolism pathways, and the 375 COVID-19 only proteins were mainly enriched in amino acid degradation (Valine, Leucine and Isoleucine degradation), amino acid metabolism (beta-Alanine, Tryptophan, Cysteine and Methionine metabolism), oxidative phosphorylation, phagosome, and cholesterol metabolism pathways.

Conclusions

This study aims to provide fundamental data for elucidating proteomic changes of COVID-19, which may implicate further investigation of molecular targets directing at specific therapy.

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC7806453 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

The proteomic characteristics of airway mucus from critical ill COVID-19 patients.

Zhang Zili Z   Wang Tao T   Liu Fei F   Zhu Airu A   Gu Guoping G   Luo Jieping J   Xu Jingyi J   Zhao Jincun J   Li Yiming Y   Li Yuanyuan Y   Liu Xiaoqing X   Zhong Nanshan N   Lu Wenju W  

Life sciences 20210114


<h4>Background</h4>The pandemic of the coronavirus disease 2019 (COVID-19) has brought a global public health crisis. However, the pathogenesis underlying COVID-19 are barely understood.<h4>Methods</h4>In this study, we performed proteomic analyses of airway mucus obtained by bronchoscopy from severe COVID-19 patients. In total, 2351 and 2073 proteins were identified and quantified in COVID-19 patients and healthy controls, respectively.<h4>Results</h4>Among them, 92 differentiated expressed pro  ...[more]

Similar Datasets

| S-EPMC7436726 | biostudies-literature
| S-BSST416 | biostudies-other
2022-02-28 | GSE197259 | GEO
2021-02-04 | GSE158055 | GEO
2023-04-29 | GSE206264 | GEO
2024-10-22 | PXD057019 | Pride
2022-02-28 | GSE197258 | GEO
2022-02-28 | GSE197204 | GEO
2021-06-18 | GSE178404 | GEO
| S-EPMC9015259 | biostudies-literature