Bioinformatics-based investigation on the genetic influence between SARS-CoV-2 infections and idiopathic pulmonary fibrosis (IPF) diseases, and drug repurposing

Article


Islam, Md. Ariful, Kibria, Md. Kaderi, Hossen, Md. Bayazid, Reza, Md. Selim, Tasmia, Samme Amena, Tuly, Khanis Farhana, Mosharof, Md. Parvez, Kabir, Syed Rashel, Kabir, Md. Hadiul, Mollah, Md. Nurul Haque and Mosharof, P.. 2023. "Bioinformatics-based investigation on the genetic influence between SARS-CoV-2 infections and idiopathic pulmonary fibrosis (IPF) diseases, and drug repurposing." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-31276-6
Article Title

Bioinformatics-based investigation on the genetic influence between SARS-CoV-2 infections and idiopathic pulmonary fibrosis (IPF) diseases, and drug repurposing

ERA Journal ID201487
Article CategoryArticle
AuthorsIslam, Md. Ariful, Kibria, Md. Kaderi, Hossen, Md. Bayazid, Reza, Md. Selim, Tasmia, Samme Amena, Tuly, Khanis Farhana, Mosharof, Md. Parvez, Kabir, Syed Rashel, Kabir, Md. Hadiul, Mollah, Md. Nurul Haque and Mosharof, P.
Journal TitleScientific Reports
Journal Citation13 (1)
Article Number4685
Number of Pages19
Year2023
PublisherNature Publishing Group
Place of PublicationUnited Kingdom
ISSN2045-2322
Digital Object Identifier (DOI)https://doi.org/10.1038/s41598-023-31276-6
Web Address (URL)https://www.nature.com/articles/s41598-023-31276-6
AbstractSome recent studies showed that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and idiopathic pulmonary fibrosis (IPF) disease might stimulate each other through the shared genes. Therefore, in this study, an attempt was made to explore common genomic biomarkers for SARS-CoV-2 infections and IPF disease highlighting their functions, pathways, regulators and associated drug molecules. At first, we identified 32 statistically significant common differentially expressed genes (cDEGs) between disease (SARS-CoV-2 and IPF) and control samples of RNA-Seq profiles by using a statistical r-package (edgeR). Then we detected 10 cDEGs (CXCR4, TNFAIP3, VCAM1, NLRP3, TNFAIP6, SELE, MX2, IRF4, UBD and CH25H) out of 32 as the common hub genes (cHubGs) by the protein–protein interaction (PPI) network analysis. The cHubGs regulatory network analysis detected few key TFs-proteins and miRNAs as the transcriptional and post-transcriptional regulators of cHubGs. The cDEGs-set enrichment analysis identified some crucial SARS-CoV-2 and IPF causing common molecular mechanisms including biological processes, molecular functions, cellular components and signaling pathways. Then, we suggested the cHubGs-guided top-ranked 10 candidate drug molecules (Tegobuvir, Nilotinib, Digoxin, Proscillaridin, Simeprevir, Sorafenib, Torin 2, Rapamycin, Vancomycin and Hesperidin) for the treatment against SARS-CoV-2 infections with IFP diseases as comorbidity. Finally, we investigated the resistance performance of our proposed drug molecules compare to the already published molecules, against the state-of-the-art alternatives publicly available top-ranked independent receptors by molecular docking analysis. Molecular docking results suggested that our proposed drug molecules would be more effective compare to the already published drug molecules. Thus, the findings of this study might be played a vital role for diagnosis and therapies of SARS-CoV-2 infections with IPF disease as comorbidity risk. © 2023, The Author(s).
KeywordsSARS‑CoV‑2; idiopathic pulmonary fibrosis (IPF) disease; Bioinformatics; genetic influence; COVID-19
ANZSRC Field of Research 20204299. Other health sciences
Byline AffiliationsUniversity of Rajshahi, Bangladesh
School of Business
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