Unknown

Dataset Information

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

SUBMITTER: Zhang Z 

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

REPOSITORIES: biostudies-literature