首页|Shengjing Hospital Affiliated to China Medical University Reports Findings in Bi oinformatics (Potential therapeutic targets for COVID-19 complicated with pulmon ary hypertension: a bioinformatics and early validation study)
Shengjing Hospital Affiliated to China Medical University Reports Findings in Bi oinformatics (Potential therapeutic targets for COVID-19 complicated with pulmon ary hypertension: a bioinformatics and early validation study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news reporting out of Shenyang , People’s Republic of China, by NewsRx editors, research stated, “Coronavirus d isease (COVID-19) and pulmonary hypertension (PH) are closely correlated. Howeve r, the mechanism is still poorly understood.” Funders for this research include National Natural Science Foundation of China, Liaoning science and technology project. Our news journalists obtained a quote from the research from Shengjing Hospital Affiliated to China Medical University, “In this article, we analyzed the molecu lar action network driving the emergence of this event. Two datasets (GSE113439 and GSE147507) from the GEO database were used for the identification of differe ntially expressed genes (DEGs).Common DEGs were selected by VennDiagram and thei r enrichment in biological pathways was analyzed. Candidate gene biomarkers were selected using three different machine-learning algorithms (SVM-RFE, LASSO, RF) .The diagnostic efficacy of these foundational genes was validated using indepen dent datasets. Eventually, we validated molecular docking and medication predict ion. We found 62 common DEGs, including several ones that could be enriched for Immune Response and Inflammation. Two DEGs (SELE and CCL20) could be identified by machinelearning algorithms. They performed well in diagnostic tests on indep endent datasets. In particular,we observed an upregulation of functions associa ted with the adaptive immune response, the leukocytelymphocyte- driven immunolog ical response, and the proinflammatory response. Moreover, by ssGSEA, natural ki ller T cells, activated dendritic cells, activated CD4 T cells, neutrophils, and plasmacytoid dendritic cells were correlated with COVID-19 and PH, with SELE an d CCL20 showing the strongest correlation with dendritic cells. Potential therap eutic compounds like FENRETI-NIDE, AFLATOXIN B1 and 1-nitropyrene were predicted .”
ShenyangPeople’s Republic of ChinaAs iaAntigen-Presenting CellsBioinformaticsBiomarkersBiotechnologyCOVID-1 9Cardiovascular Diseases and ConditionsCoronavirusCyborgsDendritic CellsDiagnostics and ScreeningDrugs and TherapiesEmerging TechnologiesGenetic sHealth and MedicineHypertensionImmunologyInformation TechnologyLung D iseases and ConditionsMachine LearningMononuclear Phagocyte SystemPulmonar y HypertensionRNA VirusesRisk and PreventionSARS-CoV-2Severe Acute Respi ratory Syndrome Coronavirus 2TestingViralVirology
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