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Deciphering the role of FOXP4 in long COVID: exploring genetic associations, evolutionary conservation, and drug identification through bioinformatics analysis.

Authors :
Gupta, Manoj Kumar
Gouda, Gayatri
Vadde, Ramakrishna
Source :
Functional & Integrative Genomics. Oct2024, Vol. 24 Issue 5, p1-17. 17p.
Publication Year :
2024

Abstract

Long COVID (LC) refers to a condition characterized by a variety of lingering symptoms that persist for more than 4 to 12 weeks following the initial acute SARS-CoV-2 infection. Recent research has suggested that the FOXP4 gene could potentially be a significant factor contributing to LC. Owing to that, this study investigates FOXP4’s role in LC by analyzing public datasets to understand its evolution and expression in diverse human populations and searching for drugs to reduce LC symptoms. Population genetic analysis of FOXP4 across human populations unmasks distinct genetic diversity patterns and positive selection signatures, suggesting potential population-specific susceptibilities to conditions like LC. Further, we also observed that FOXP4 experiences high expression during LC. To identify potential inhibitors, drug screening analysis identifies synthetic drugs like Glisoxepide, and natural compounds Kapurimycin A3 produced from Streptomyces sp, and Cucurbitacin B from Begonia nantoensis as promising candidates. Overall, our research contributes to understanding how FOXP4 may serve as a therapeutic target for mitigating the impact of LC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1438793X
Volume :
24
Issue :
5
Database :
Academic Search Index
Journal :
Functional & Integrative Genomics
Publication Type :
Academic Journal
Accession number :
179759626
Full Text :
https://doi.org/10.1007/s10142-024-01451-7