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http://purl.uniprot.org/citations/33190150http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
http://purl.uniprot.org/citations/33190150http://www.w3.org/2000/01/rdf-schema#comment"Patients with spinal muscular atrophy (SMA) are susceptible to the respiratory infections and might be at a heightened risk of poor clinical outcomes upon contracting coronavirus disease 2019 (COVID-19). In the face of the COVID-19 pandemic, the potential associations of SMA with the susceptibility to and prognostication of COVID-19 need to be clarified. We documented an SMA case who contracted COVID-19 but only developed mild-to-moderate clinical and radiological manifestations of pneumonia, which were relieved by a combined antiviral and supportive treatment. We then reviewed a cohort of patients with SMA who had been living in the Hubei province since November 2019, among which the only 1 out of 56 was diagnosed with COVID-19 (1.79%, 1/56). Bioinformatic analysis was carried out to delineate the potential genetic crosstalk between SMN1 (mutation of which leads to SMA) and COVID-19/lung injury-associated pathways. Protein-protein interaction analysis by STRING suggested that loss-of-function of SMN1 might modulate COVID-19 pathogenesis through CFTR, CXCL8, TNF and ACE. Expression quantitative trait loci analysis also revealed a link between SMN1 and ACE2, despite low-confidence protein-protein interactions as suggested by STRING. This bioinformatic analysis could give hint on why SMA might not necessarily lead to poor outcomes in patients with COVID-19."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.org/dc/terms/identifier"doi:10.1093/bib/bbaa285"xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Chen Z."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Jiao Y."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Li Z."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Li X."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Liu G."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Lin Y."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Shen J."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Zhang L."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Tan H."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Feng E."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Rong T."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Kei Wu W.K."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/author"Vai Chan M.T."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/date"2021"xsd:gYear
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/name"Brief Bioinform"xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/pages"1291-1296"xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/title"Bioinformatic analysis of SMN1-ACE/ACE2 interactions hinted at a potential protective effect of spinal muscular atrophy against COVID-19-induced lung injury."xsd:string
http://purl.uniprot.org/citations/33190150http://purl.uniprot.org/core/volume"22"xsd:string
http://purl.uniprot.org/citations/33190150http://www.w3.org/2004/02/skos/core#exactMatchhttp://purl.uniprot.org/pubmed/33190150
http://purl.uniprot.org/citations/33190150http://xmlns.com/foaf/0.1/primaryTopicOfhttps://pubmed.ncbi.nlm.nih.gov/33190150
http://purl.uniprot.org/uniprot/#_A0A3G6V3P1-mappedCitation-33190150http://www.w3.org/1999/02/22-rdf-syntax-ns#objecthttp://purl.uniprot.org/citations/33190150
http://purl.uniprot.org/uniprot/#_A0A3G6V4Y6-mappedCitation-33190150http://www.w3.org/1999/02/22-rdf-syntax-ns#objecthttp://purl.uniprot.org/citations/33190150