Publication:
In silico approach to identify the relationships between COVİD-19 and coronary artery disease/rheumatoid arthritis

dc.contributor.authorAkçay, Seving
dc.contributor.authorPirim, Dilek
dc.contributor.buuauthorPİRİM, DİLEK
dc.contributor.departmentFen Edebiyat Fakültesi
dc.contributor.departmentMoleküler Biyoloji ve Genetik Bölümü
dc.contributor.researcheridHTP-6233-2023
dc.contributor.researcherid0000-0002-0522-9432
dc.date.accessioned2024-09-26T10:42:53Z
dc.date.available2024-09-26T10:42:53Z
dc.date.issued2023-01-01
dc.description.abstractGlobal public has been threatened by the coronavirus disease 2019 (COVID-19) pandemic which led to nearly 15 million deaths around the world. People with complex and chronic diseases usually have more severe COVID-19 symptoms than the general population. Mounting evidence indicates individuals with coronary artery disease (CAD) and rheumatoid arthritis (RA) have worse COVID-19 outcomes yet the underlying mechanism still needs to be explored. The aim of our study is to reveal in silico evidence for the molecular mechanisms shared by COVID-19, CAD and RA pathogenesis which may aggravate the COVID-19 disease severity. Public datasets (GSE164805 and GSE23561) were downloaded from the Gene Expression Omnibus (GEO) database and analyzed for differential expression analysis (DEG). Identified differential expressed genes (DEGs) were further analyzed to find common DEGs, common pathways, hub genes, transcription factors (TFs) and microRNAs (miRNAs). Our study identified common hub genes, miRNAs, TFs and shared mechanisms in both mild and severe COVID-19-CAD patients and mild and severe COVID-19- RA patients. We also uncovered that mild and severe forms of COVID-19 differ in potential biomarkers, mechanisms, miRNAs and TFs in both CAD and RA patients. Our study is the first study investigating the potential shared mechanisms, biomarkers, TFs and miRNAs between COVID-19 and CAD patients and COVID-19 and RA patients. Our results could shed on light to the patient management strategies with CAD with COVID-19 and patients with RA with COVID-19 based on the severity of the COVID-19 disease.
dc.identifier.doi10.1590/1678-4324-2023220722
dc.identifier.eissn1678-4324
dc.identifier.issn1516-8913
dc.identifier.urihttps://doi.org/10.1590/1678-4324-2023220722
dc.identifier.urihttps://www.scielo.br/j/babt/a/rSRF8ckWBNhMnBy9xvT37mR/
dc.identifier.urihttps://hdl.handle.net/11452/45303
dc.identifier.volume66
dc.identifier.wos001151203100001
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherInst Tecnologia Parana
dc.relation.journalBrazilian Archives of Biology and Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDatabase
dc.subjectNetwork
dc.subjectCovid-19
dc.subjectCoronary artery disease
dc.subjectRheumatoid arthritis
dc.subjectDifferentially expressed genes
dc.subjectBioinformatics
dc.subjectTranscription factors
dc.subjectMicrornas
dc.subjectScience & technology
dc.subjectLife sciences & biomedicine
dc.subjectBiology
dc.subjectLife sciences & biomedicine - other topics
dc.titleIn silico approach to identify the relationships between COVİD-19 and coronary artery disease/rheumatoid arthritis
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentFen Edebiyat Fakültesi/Moleküler Biyoloji ve Genetik Bölümü
local.contributor.departmentSağlık Bilimleri Enstitüsü/Translasyonel Tıp Ana Bilim Dalı
relation.isAuthorOfPublication4fe8e2a8-6667-4c54-9c39-a4059fcb6657
relation.isAuthorOfPublication.latestForDiscovery4fe8e2a8-6667-4c54-9c39-a4059fcb6657

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