实用临床医药杂志2024，Vol.28Issue(23)：8-15,8.DOI:10.7619/jcmp.20242822
基于克罗恩病线粒体相关基因的人工神经网络模型的构建
Establishment of artificial neural network model based on mitochondria-associated genes in Crohn's disease
摘要
Abstract
Objective To screen mitochondria-related genes in Crohn's disease(CD)based on the Gene Expression Omnibus(GEO)database,construct an artificial neural network diagnostic model and evaluate its performance.Methods The CD-related datasets GSE186582 and GSE102133 were downloaded from the GEO database for differential expression genes(DEGs)screening.The intersec-tion of DEGs and mitochondrial genes from the MitoCarta 3.0 database was obtained.Least absolute shrinkage and selection operator regression and random forest algorithms were used to identify CD-spe-cific genes and construct an artificial neural network diagnostic model.The model was further valida-ted by the validation set GSE95095,and the diagnostic performance was evaluated by the area under the curve(AUC)of the receiver operating characteristic curve.The immune cell infiltration in CD was assessed by the CIBERSORT algorithm,and the relationship between biomarkers and infiltrated immune cells was investigated.Results A total of 551 DEGs were obtained,including 275 upregu-lated and 276 downregulated genes.There were 20 mitochondria-related genes associated with CD.A total of 9 mitochondria-related feature genes(SOD2,MTHFD2,BPHL,PXMP2,RMND1,AGXT2,MAOA,HMGCS2,MAOB)were screened by two machine learning algorithms.An artificial neural network diagnostic model was constructed by the selected feature genes.The values of AUC of the model in the training and validation groups were 0.956 and 0.736 respectively.Immune cell infiltra-tion analysis showed that the feature genes were associated with resting memory CD4+T cells,activa-ted memory CD4+T cells,activated dendritic cells,neutrophils,and CD8+T cells.Conclusion The artificial neural network diagnostic model for CD based on 9 mitochondrial genes has good predictive performance.关键词
克罗恩病/线粒体/人工神经网络/机器学习/差异分析/免疫细胞浸润Key words
Crohn's disease/mitochondria/artificial neural network/machine learning/dif-ferential analysis/immune cell infiltration分类
生物科学引用本文复制引用
杜凤铭,曹晓华,刘瑞琛,胡超扬,孙焱..基于克罗恩病线粒体相关基因的人工神经网络模型的构建[J].实用临床医药杂志,2024,28(23):8-15,8.基金项目
山西省研究生教育教学改革基金资助项目(2022YJJG112) （2022YJJG112）
山西省研究生实践创新项目资助(2023SJ167) （2023SJ167）
