A data-driven hypothesis on the epigenetic dysregulation of host metabolism by SARS coronaviral infection: potential implications for the SARS-CoV-2 modus operandi

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorVavougios, George D-
Data de aceite: dc.date.accessioned2026-02-09T11:28:44Z-
Data de disponibilização: dc.date.available2026-02-09T11:28:44Z-
Data de envio: dc.date.issued2020-05-28-
Data de envio: dc.date.issued2020-05-28-
Data de envio: dc.date.issued2020-07-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/41265-
Fonte completa do material: dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0306987720305600-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1141625-
Descrição: dc.descriptionCOVID-19, the disease caused by the novel SARS-CoV-2, a betacoronavirus structurally similar to SARS-CoV. Based on both structural and syndromic similarities with SARS-CoV, a hypothesis is formed on SARS-CoV-2 potential to affect the host’s metabolism as part of its lifecycle. This hypothesis is evaluated by (a) exploratory analysis of SARS-CoV/human transcriptomic interaction data and gene set enrichment analysis (b) a confirmatory, focused review of the literature based on the findings by (a). A STRING Viruses (available search for human – SARS-CoV (NCBI taxonomy Id: 9606 vs. NCBI taxonomy Id: 694009) genomic interactions reveals ten human proteins, interacting with SARS-CoV: SGTA, FGL2, SPECC1, STAT3, PHB, BCL2L1, PPP1CA, CAV1, JUN, XPO1. Gene set enrichment analyses (GSEA) with STRING on this network revealed their role as a putative protein – protein interaction network (PPI; Enrichment p-value = 0.0296) mediating, viral parasitism, interleukin as well as insulin signaling, diabetes and triglyceride catabolism. In the literature, SARS-CoV has been known to cause de novo diabetes by ACE2-dependent uptake on pancreatic isle cells, and furthermore dysregulate lipid autophagy in favor of the viral lifecycle. Conversely, currently there are only non-causative, observational evidence of worse outcomes for COVID-19 patients with comorbid diabetes or hyperglycemia. No study has reported on the lipid profiles of COVID-19 patients; however, lipid-targeting molecules have been proposed as agents against SARS-CoV-2. Future studies, reporting on lipid and glucose metabolism of COVID-19 patients could help elucidate the disease’s seculae and aid drug design.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceMedical Hypotheses-
Palavras-chave: dc.subjectCOVID-19-
Palavras-chave: dc.subjectSevere Acute Respiratory Syndrome Coronavirus (SARS-CoV)-
Palavras-chave: dc.subjectSevere Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)-
Palavras-chave: dc.subjectGene set enrichment analysis-
Palavras-chave: dc.subjectDiabetes-
Palavras-chave: dc.subjectTriglycerides-
Palavras-chave: dc.subjectViruses-
Título: dc.titleA data-driven hypothesis on the epigenetic dysregulation of host metabolism by SARS coronaviral infection: potential implications for the SARS-CoV-2 modus operandi-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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