首页|Affiliated Hospital of Guangdong Medical University Reports Findings in Crohn's Disease (Explore key genes of Crohn's disease based on glycerophospholipid metab olism: A comprehensive analysis Utilizing Mendelian Randomization, Multi-Omics . ..)
Affiliated Hospital of Guangdong Medical University Reports Findings in Crohn's Disease (Explore key genes of Crohn's disease based on glycerophospholipid metab olism: A comprehensive analysis Utilizing Mendelian Randomization, Multi-Omics . ..)
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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-Crohn's Disease is the subject of a report. According to ne ws reporting out of Guangdong, People's Republic of China, by NewsRx editors, re search stated, "Crohn's disease (CD) is a chronic, complex inflammatory conditio n with increasing incidence and prevalence worldwide. However, the causes of CD remain incompletely understood." Our news journalists obtained a quote from the research from the Affiliated Hosp ital of Guangdong Medical University, "We identified CD-related metabolites, inf lammatory factors, and key genes by Mendelian randomization (MR), multi-omics in tegration, machine learning (ML), and SHAP. We first performed a mediation MR an alysis on 1400 serum metabolites, 91 inflammatory factors, and CD. We found that certain phospholipids are causally related to CD. In the scRNA-seq data, monocy tes were categorized into high and low metabolism groups based on their glycerop hospholipid metabolism scores. The differentially expressed genes of these two g roups of cells were extracted, and transcription factor prediction, cell communi cation analysis, and GSEA analysis were performed. After further screening of di fferentially expressed genes (FDR <0.05, log2FC > 1), least absolute shrinkage and selection operator (LASSO) regression was perfo rmed to obtain hub genes. Models for hub genes were built using the Catboost, XG boost, and NGboost methods. Further, we used the SHAP method to interpret the mo dels and obtain the gene with the highest contribution to each model. Finally, q RT-PCR was used to verify the expression of these genes in the peripheral blood mononuclear cells (PBMC) of CD patients and healthy subjects. MR results showed 1-palmitoyl-2-stearoyl-gpc (16:0/18:0) levels, 1-stearoyl-2-arachidonoyl-GPI (18 :0/20:4) levels, 1-arachidonoyl-gpc (20:4n6) levels, 1-palmitoyl-2-arachidonoyl- gpc (16:0/20:4n6) levels, and 1-arachidonoyl-GPE (20:4n6) levels were significan tly associated with CD risk reduction (FDR <0.05), with CXC L9 acting as a mediation between these phospholipids and CD. The analysis identi fied 19 hub genes, with Catboost, XGboost, and NGboost achieving AUC of 0.91, 0. 88, and 0.85, respectively. The SHAP methodology obtained the three genes with t he highest model contribution: G0S2, S100A8, and PLAUR. The qRT-PCR results show ed that the expression levels of S100A8 (p = 0.0003), G0S2 (p <0.0001), and PLAUR (p = 0.0141) in the PBMC of CD patients were higher than hea lthy subjects. MR findings suggest that certain phospholipids may lower CD risk. G0S2, S100A8, and PLAUR may be potential pathogenic genes in CD."
GuangdongPeople's Republic of ChinaA siaCrohn's DiseaseCyborgsDigestive System Diseases and ConditionsEmergin g TechnologiesGastroenteritisGastroenterologyGastrointestinalGastrointes tinal Diseases and ConditionsGeneticsHealth and MedicineMachine LearningRisk and Prevention
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