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首页|期刊导航|南方医科大学学报|酒精暴露与股骨头坏死的潜在关联:基于机器学习构建诊断模型

酒精暴露与股骨头坏死的潜在关联:基于机器学习构建诊断模型

陶红成 梁富凯 黄文波 范思奇 曾平

南方医科大学学报2026,Vol.46Issue(3):559-569,11.
南方医科大学学报2026,Vol.46Issue(3):559-569,11.DOI:10.12122/j.issn.1673-4254.2026.03.10

酒精暴露与股骨头坏死的潜在关联:基于机器学习构建诊断模型

Analysis of potential association of alcohol exposure with femoral head osteonecrosis and construction of a diagnostic model using machine learning

陶红成 1梁富凯 1黄文波 1范思奇 2曾平3

作者信息

  • 1. 广西中医药大学,广西 南宁 530200
  • 2. 广西中医药大学第一附属医院,广西 南宁 530023
  • 3. 广西中医药大学第一附属医院,广西 南宁 530023||广西中医药大学广西中医基础研究重点实验室,广西 南宁 530200
  • 折叠

摘要

Abstract

Objective To construct and validate a diagnostic model for osteonecrosis of the femoral head(ONFH)based on alcohol exposure-related genes using machine learning methods.Methods The transcriptomic data related to alcohol exposure and ONFH were obtained from the GEO database for construction of a diagnostic model for ONFH.The differentially expressed genes(DEGs)of alcohol exposure and ONFH were identified,and functional enrichment analysis of the intersecting genes was performed.Single sample gene set enrichment analysis(ssGSEA)was used to quantify immune infiltration.A total of 113 combinations of 12 machine learning algorithms were tested on the training set,and 10-fold cross-validation was used to construct the diagnostic model of ONFH,which was validated on the test set.The expressions of the DEGs in the model were detected by qRT-PCR in alcohol-treated MC3T3-E1 cells to verify the reliability of the constructed model.The Enrichr platform was used to identify potential drugs for ONFH.Results Twenty-one intersecting DEGs closely related to alcohol exposure and ONFH were identified,which were also involved in immune processes.Immune infiltration analysis showed that the patients with alcohol exposure and ONFH had significant differences in immune cell infiltration compared with the healthy controls.The diagnostic model was constructed based on 8 genes(SOAT1,GMCL1,GMPR,CISD2,ST3GAL6,AHSP,UBL3,and PTPN12),which showed significant differential expressions in alcohol-treated MC3T3-E1 cells.Ten potential drugs for ONFH treatment were predicted.Conclusion By integrating bioinformatics analysis and machine learning methods,a reliable model for diagnosing ONFH has been successfully constructed based on the DEGs shared by alcohol exposure and ONFH.

关键词

酒精暴露/股骨头坏死/生物信息学分析/机器学习/诊断模型

Key words

alcohol exposure/osteonecrosis of the femoral head/bioinformatics analysis/machine learning/diagnostic model

引用本文复制引用

陶红成,梁富凯,黄文波,范思奇,曾平..酒精暴露与股骨头坏死的潜在关联:基于机器学习构建诊断模型[J].南方医科大学学报,2026,46(3):559-569,11.

基金项目

国家自然科学基金地区科学基金项目(82160913 ()

81960876) ()

广西壮族自治区科学技术厅广西青年科学基金项目(中医药壮瑶医药专项-广西中医药大学)(2025GXNSFBA069217) (中医药壮瑶医药专项-广西中医药大学)

广西中医骨伤临床医学研究中心(GXZYYXYJZX-2025-01) (GXZYYXYJZX-2025-01)

南方医科大学学报

1673-4254

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