The Prediction of miRNAs in SARS-CoV-2 Genomes: hsa-miR Databases Identify 7 Key miRs Linked to Host Responses and Virus Pathogenicity-Related KEGG Pathways Significant for Comorbidities

dc.contributor.authorArisan, Elif Damla
dc.contributor.authorDart, Alwyn
dc.contributor.authorGrant, Guy H.
dc.contributor.authorArisan, Serdar
dc.contributor.authorCuhadaroglu, Songul
dc.contributor.authorLange, Sigrun
dc.contributor.authorUysal-Onganer, Pinar
dc.date.accessioned2025-10-29T11:08:35Z
dc.date.issued2020
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Biyomühendislik Ana Bilim Dalı
dc.description.abstractSevere acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a member of thebetacoronavirusfamily, which causes COVID-19 disease. SARS-CoV-2 pathogenicity in humans leads to increased mortality rates due to alterations of significant pathways, including some resulting in exacerbated inflammatory responses linked to the cytokine storm and extensive lung pathology, as well as being linked to a number of comorbidities. Our current study compared five SARS-CoV-2 sequences from different geographical regions to those from SARS, MERS and two cold viruses, OC43 and 229E, to identify the presence of miR-like sequences. We identified seven key miRs, which highlight considerable differences between the SARS-CoV-2 sequences, compared with the other viruses. The level of conservation between the five SARS-CoV-2 sequences was identical but poor compared with the other sequences, with SARS showing the highest degree of conservation. This decrease in similarity could result in reduced levels of transcriptional control, as well as a change in the physiological effect of the virus and associated host-pathogen responses. MERS and the milder symptom viruses showed greater differences and even significant sequence gaps. This divergence away from the SARS-CoV-2 sequences broadly mirrors the phylogenetic relationships obtained from the whole-genome alignments. Therefore, patterns of mutation, occurring during sequence divergence from the longer established human viruses to the more recent ones, may have led to the emergence of sequence motifs that can be related directly to the pathogenicity of SARS-CoV-2. Importantly, we identified 7 key-microRNAs (miRs 8066, 5197, 3611, 3934-3p, 1307-3p, 3691-3p, 1468-5p) with significant links to KEGG pathways linked to viral pathogenicity and host responses. According to Bioproject data (PRJNA615032), SARS-CoV-2 mediated transcriptomic alterations were similar to the target pathways of the selected 7 miRs identified in our study. This mechanism could have considerable significance in determining the symptom spectrum of future potential pandemics. KEGG pathway analysis revealed a number of critical pathways linked to the seven identified miRs that may provide insight into the interplay between the virus and comorbidities. Based on our reported findings, miRNAs may constitute potential and effective therapeutic approaches in COVID-19 and its pathological consequences.
dc.identifier.doi10.3390/v12060614
dc.identifier.issn1999-4915
dc.identifier.issue6
dc.identifier.orcid0000-0002-7193-3102
dc.identifier.orcid0000-0002-1130-1701
dc.identifier.orcid0000-0003-3190-8831
dc.identifier.orcid0000-0002-4844-6381
dc.identifier.orcid0000-0003-3801-8583
dc.identifier.pmid32512929
dc.identifier.scopus2-s2.0-85086297944
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.3390/v12060614
dc.identifier.urihttps://hdl.handle.net/20.500.14854/5433
dc.identifier.volume12
dc.identifier.wosWOS:000553577500001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofViruses-Basel
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20251020
dc.subjectCOVID-19
dc.subjectSARS-CoV-2
dc.subjectcoronavirus
dc.subjectmicroRNAs (miRs 8066
dc.subject5197
dc.subject3611
dc.subject3934-3p
dc.subject1307-3p
dc.subject3691-3p
dc.subject1468-5p)
dc.subjectviral pathogenesis
dc.subjectcell signalling pathways
dc.subjectcomorbidities
dc.titleThe Prediction of miRNAs in SARS-CoV-2 Genomes: hsa-miR Databases Identify 7 Key miRs Linked to Host Responses and Virus Pathogenicity-Related KEGG Pathways Significant for Comorbidities
dc.typeArticle

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