首页|First Affiliated Hospital of Zhejiang Chinese Medical University Reports Finding s in Ulcerative Colitis (Biological characteristics of molecular subtypes of ulc erative colitis characterized by ferroptosis and neutrophil infiltration)
First Affiliated Hospital of Zhejiang Chinese Medical University Reports Finding s in Ulcerative Colitis (Biological characteristics of molecular subtypes of ulc erative colitis characterized by ferroptosis and neutrophil infiltration)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Ulcerative Colitis is the subject of a report. According to news reporting originating in Zhejiang, People’s Republic of China, by NewsRx j ournalists, research stated, “Clinical ulcerative colitis (UC) is a heterogeneou s condition. Moreover, medical interventions are nonspecific, and thus, treatmen t responses are inconsistent.” The news reporters obtained a quote from the research from the First Affiliated Hospital of Zhejiang Chinese Medical University, “The aim of this study was to e xplore the molecular subtypes and biological characteristics of UC based on ferr optosis and neutrophil gene sets. Multiple intestinal mucosa gene expression pro files of UC patients in the Gene Expression Omnibus (GEO) database were download ed. Unsupervised clustering methods were used to identify potential molecular su btypes based on ferroptosis and neutrophil gene sets. Multiple immune infiltrati on algorithms were used to evaluate the biological characteristics of the molecu lar subtypes. Machine learning identifies hub genes for molecular subtypes and a nalyses their diagnostic efficacy for UC and predictive performance for drug the rapy. The relevant conclusions were verified by clinical samples and animal expe riments. Four molecular subtypes were identified according to the ferroptosis an d neutrophil gene sets: neutrophil, ferroptosis, mixed and quiescent. The subtyp es have different biological characteristics and immune infiltration levels. Mul tiple machine learning methods jointly identified four hub genes (FTH1, AQP9, ST EAP3 and STEAP4). Receiver operating characteristic (ROC) curve analysis reveale d that the four hub genes could be used as diagnostic markers for UC. The clinic al response profile data of infliximab treatment patients showed that AQP9 and S TEPA4 were reliable predictors of infliximab treatment response. In human sample s the AQP9 and STEAP4 protein were shown to be increased in UC intestinal sample s. In animal experiments, the ferroptosis and neutrophil phenotype were confirme d. Dual analysis of ferroptosis and neutrophil gene expression revealed four sub groups of UC patients.”
ZhejiangPeople’s Republic of ChinaAs iaAntirheumaticsBiomarkersBiotechnologyBlood CellsColitisColonic Dis eases and ConditionsCyborgsDiagnostics and ScreeningDigestive System Disea ses and ConditionsDrugs and TherapiesEmerging TechnologiesGastroenteritisGastroenterologyGastrointestinal Diseases and ConditionsGeneticsGranulocy tesHealth and MedicineHemic and Immune SystemsImmunologic AgentsImmunolo gyInflammatory Bowel Diseases and ConditionsInfliximab TherapyMachine Lear ningMonoclonal AntibodiesNeutrophilsPhagocytesPharmaceuticalsTumor Nec rosis Factor (TNF) InhibitorsUlcerative Colitis
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