ArticleLife sciences2021
The proteomic characteristics of airway mucus from critical ill COVID-19 patients.
Article in Life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Genome-wide association study of susceptibility to acute respiratory distress syndrome.EBioMedicine · 2025Pooled it
- Systematic review of amino acid profiles among COVID-19 patients caused by SARS-CoV-2.Journal of diabetes and metabolic disorders · 2026Review
- Bioinformatics analysis of the proteome in the pathway of complement and coagulation cascades in COVID-19: discovering potential biomarkers of FGB and SERPINA5.BMC infectious diseases · 2025Article
- Proteomic lung analysis revealed hyper-activation of neutrophil extracellular trap formation in cases of fatal COVID-19.Heliyon · 2024Article
- Molecular Biomarker Identification Using a Network-Based Bioinformatics Approach That Links COVID-19 With Smoking.Bioinformatics and biology insights · 2023Article
- Wnt5a/β-catenin axis is involved in the downregulation of AT2 lineage by PAI-1.American journal of physiology. Lung cellular and molecular physiology · 2022Article
- Proteomic profiling reveals a distinctive molecular signature for critically ill COVID-19 patients compared with asthma and chronic obstructive pulmonary disease.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe pandemic of the coronavirus disease 2019 (COVID-19) has brought a global public health crisis. However, the pathogenesis underlying COVID-19 are barely understood.
methodsIn 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.
resultsAmong 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.
conclusionsThis 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.
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