Identification of Molecular Markers Associated with COPD in non-smokers and smokers: A Bioinformatics Analysis

Authors

Agede O. Ayodele, University of Ilorin, IlorinFollow
Isa M. Wasagu, University of Ilorin, IlorinFollow
Ademola E. Fawibe, University of IlorinFollow
Alakija K. Salami, University of Ilorin, IlorinFollow

Funder

The authors received no specific funding for this work

Abstract

Background

Even though the proportional burden of COPD among never-smokers is significant in both developing and developed nations, accounting for around 30% of all COPD in the community, there is little awareness of the prevalence of COPD in this population. Understanding the molecular processes that underlie COPD in nonsmokers is essential.

Methods

Dataset (GSE146560) was acquired from the Gene Expression Omnibus (GEO). The limma and clusterProfiler software tools were used to identify differentially expressed genes (DEGs) and conduct a functional enrichment analysis respectively.

Results

In all, 10,583 DEGs were found, of which 1,065 were up-regulated and 9,518 were down-regulated. The KEGG pathways such as Neuroactive ligand-receptor interaction, taste transduction, maturity onset diabetes of the young, Hippo signaling pathway, insulin secretion, dilated cardiomyopathy, morphine addiction, and calcium signaling pathway were mainly enriched in the DEGs, along with pathways for the Byzantine Arch palate, inflammation, infection, and feeding difficulties.

Conclusion

Particularly downregulated COPD genes such FBXL19-AS1, KRTAP5-AS1, and HAGLR antisense are identified as COPD biomarkers and may play a role in the pathogenesis of the illness. However, more investigation is required to support this study's conclusions.

DOI

10.55504/2473-2869.1261

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

Ayodele, Agede O.; Wasagu, Isa M.; Fawibe, Ademola E.; and Salami, Alakija K. (2023) "Identification of Molecular Markers Associated with COPD in non-smokers and smokers: A Bioinformatics Analysis," The University of Louisville Journal of Respiratory Infections: Vol. 7 : Iss. 1 , Article 5.
DOI: https://doi.org/10.55504/2473-2869.1261
Available at: https://ir.library.louisville.edu/jri/vol7/iss1/5