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Transcriptomics Curation of SARS-CoV-2 Related Host Genes in Mice With COVID-19 Comorbidity:A Pilot Study

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摘要 The pandemic of coronavirus disease 2019(COVID-19),a respiratory disease caused by a novel severe acute respiratory syndrome coronavirus-2,is causing substantial morbidity and mortality.Along with the respiratory symptoms,underlying diseases in senior patients,such as diabetes,hypertension,and coronary heart disease,are the most common comorbidities,which cause more severe outcomes and even death.During cellular attachment and entry of severe acute respiratory syndrome coronavirus-2,the key protein involved is the angiotensin I converting enzyme 2(ACE2),which is located on the membrane of host cells.Here,we aim to curate an expression profile of Ace2 and other COVID-19 related genes across the available diabetes murine strains.Based on strictly manual curation and bioinformatics analysis of the publicly deposited expression datasets,Ace2 and other potentially involved genes such as Furin,Tmprss2,Ang,and Ang2 were examined.We found that Ace2 expression is rather ubiquitous in three selected diabetes prone strains(db/db,ob/ob and diet-induced obese).With the most abundant datasets present,the liver shows a medium Ace2 expression level compared with the lungs,pancreatic islets,brain and even T cells.Age is a more critical factor for Ace2 expression in db/db compared with the other two strains.Besides Ace2,the other four host genes showed varied levels of correlation to each other.To accelerate research on the interaction between COVID-19 and underlying diseases,the Murine4Covid transcriptomics database(www.geneureka.org/Murine4Covid)will facilitate the design of research on COVID-19 and comorbidities.
出处 《Infectious Microbes & Diseases》 2020年第2期42-47,共6页 感染微生物与疾病(英文)
基金 This work was supported by the National Key Research and Development Program of China No.2017YFC1200206 and 2019YFC0840609(to KS) special fund of State Key Laboratory for Diagnosis and Treatment of Infectious Diseases No.SKLID2019KF05(to XH) the National Science and Technology Major Project of China No.2017ZX10105001(to KX)and 2017ZX10204401001002(to MY).
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