The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The proteomic characteristics of airway mucus from critical ill COVID-19 patients
Open accessPreprint — published as 10.1016/j.lfs.2021.119046 · Paper page
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.
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Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
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Metadata
- Authors
- Zhang, Z., Wang, T., Liu, F., Zhu, A., Gu, G., Luo, J., Xu, J., Zhao, J., Li, Y., Liu, X., Zhong, N., & Lu, W.
- Affiliations
- First Affiliated Hospital of Guangzhou Medical University (CN)
- Corresponding author
- Liu, Xiaoqing
- Zhong, Nanshan
- Lu, Wenju
- ORCID
- Venue
- Life Sciences
- Published
- 2020-08-05
- Volume
- 269
- Pages
- 119046-119046
- ISSN
- 0024-3205 (ISSN-L)
- PMC
- PMC7806453
- OpenAlex
- W3108974328
- Cited by
- 12
- References
- 1
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 2 · 2021: 2
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Life Sciences (publishedVersion)
- Research Square (acceptedVersion, cc-by)
- SSRN Electronic Journal (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81770043, 81520108001)
- National Key Research and Development Program of China (2016YFC0903700)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- COVID-19 pandemic, airway mucus, proteomics, critically ill patients, differentially expressed proteins, complement and coagulation pathways, lysosomes, cholesterol metabolism, amino acid metabolism, oxidative phosphorylation, phagosome, bronchoscopy
- MeSH terms
- COVID-19, Aged, Amino Acids, Bronchoscopy, Cholesterol, Female, Humans, Male, Middle Aged, Mucus, Proteins, Severity of Illness Index, Case-Control Studies, Critical Illness, Proteomics
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