首页|Fourth Military Medical University Reports Findings in COVID-19 (Identification of Age-Related Characteristic Genes Involved in Severe COVID-19 Infection Among Elderly Patients Using Machine Learning and Immune Cell Infiltration Analysis)
Fourth Military Medical University Reports Findings in COVID-19 (Identification of Age-Related Characteristic Genes Involved in Severe COVID-19 Infection Among Elderly Patients Using Machine Learning and Immune Cell Infiltration Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Coronavirus - COVID-19 is the subject of a report. According tonews reporting originating from Shaanx i, People’s Republic of China, by NewsRx correspondents, researchstated, “Elder ly patients infected with severe acute respiratory syndrome coronavirus 2 are at higher riskof severe clinical manifestation, extended hospitalization, and inc reased mortality. Those patients aremore likely to experience persistent sympto ms and exacerbate the condition of basic diseases with longCOVID-19 syndrome.”Our news editors obtained a quote from the research from Fourth Military Medical University, “However,the molecular mechanisms underlying severe COVID-19 in th e elderly patients remain unclear. Our studyaims to investigate the function of the interaction between disease-characteristic genes and immune cellinfiltrati on in patients with severe COVID-19 infection. COVID-19 datasets (GSE164805 and GSE180594)and aging dataset (GSE69832) were obtained from the Gene Expression O mnibus database. The combineddifferent expression genes (DEGs) were subjected t o Gene Ontology (GO) functional enrichment analysis,Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Diseases Ontology functional enrichmentanalysis , Gene Set Enrichment Analysis, machine learning, and immune cell infiltration a nalysis. GO andKEGG enrichment analyses revealed that the eight DEGs (IL23A, PT GER4, PLCB1, IL1B, CXCR1, C1QB,MX2, ALOX12) were mainly involved in inflammator y mediator regulation of TRP channels, coronavirusdisease-COVID-19, and cytokin e activity signaling pathways. Three-degree algorithm (LASSO, SVM-RFE,KNN) and correlation analysis showed that the five DEGs up-regulated the immune cells of macrophagesM0/M1, memory B cells, gamma delta T cell, dendritic cell resting, a nd master cell resisting.”
ShaanxiPeople’s Republic of ChinaAsiaCOVID-19CoronavirusCyborgsEmerging TechnologiesGeneticsHospitalsImmunologyMachine LearningMortalityPathogenesisRNA VirusesRisk and PreventionSARS-CoV-2Severe Acute Respiratory Syndrome Coronavirus 2ViralVirology
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