文献类型：期刊文献

英文题名：Identification and validation of biomarkers of Shenggu Zaizao Wan in the treatment of steroid-induced osteonecrosis of the femoral head by integrating network pharmacology and bulk transcriptomic

作者：Ma, Tao[1,2];Wang, Duoxian[3];Xie, Qingsheng[1];Li, Yin[1];Wang, Jinpeng[1];Zhang, Xiaogang[3];Yuan, Lingwei[2];He, Hairong[2];Han, Xianfu[2];Liu, Xuerui[2];Liu, Jianjun[3];Yu, Haiyang[3,4];Wu, Jinqiu[2]

第一作者：Ma, Tao

通信作者：Wu, JQ[1];Yu, HY[2];Yu, HY[3]

机构：[1]Gansu Univ Chinese Med, Clin Coll Tradit Chinese Med, Lanzhou, Peoples R China;[2]Gansu Prov Hosp Tradit Chinese Med, Dept Sports Med, Lanzhou, Peoples R China;[3]Gansu Univ Chinese Med, Affiliated Hosp, Dept Orthopaed, Lanzhou, Peoples R China;[4]Shenzhen Baoan Tradit Chinese Med Hosp, Dept Orthopaed, Shenzhen, Peoples R China

第一机构：甘肃中医药大学中医临床学院

通信机构：[1]corresponding author), Gansu Prov Hosp Tradit Chinese Med, Dept Sports Med, Lanzhou, Peoples R China;[2]corresponding author), Gansu Univ Chinese Med, Affiliated Hosp, Dept Orthopaed, Lanzhou, Peoples R China;[3]corresponding author), Shenzhen Baoan Tradit Chinese Med Hosp, Dept Orthopaed, Shenzhen, Peoples R China.|[10735b845793de6ae2b30]甘肃中医药大学第二附属医院;[10735]甘肃中医药大学;

年份：2026

卷号：13

外文期刊名：FRONTIERS IN MEDICINE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001693029200001)】；

基金：The author(s) declared that financial support was received for this work and/or its publication. This research was funded by the Gansu health industry Foundation (GSWSQNPY2024-16), the National Traditional Chinese Medicine Bone Injury Advantage Specialty Foundation of China (2023GS-05), the Gansu Provincial Natural Science Foundation (24JRRA554 and 24JRRA1036), and the Lanzhou Science and Technology Development Guidance Foundation (2023-2D-202).

语种：英文

外文关键词：biomarkers; molecular docking; network pharmacology; Shenggu Zaizao Wan; steroid-induced osteonecrosis of the femoral head

摘要：Background Steroid-induced osteonecrosis of the femoral head (SONFH) is a debilitating condition. Research has shown that Shenggu Zaizao Wan (SZW) may have therapeutic effects on SONFH. This study aimed to elucidate the mechanisms by which SZW treats SONFH.Methods SONFH and control samples were retrieved from a database to identify differentially expressed genes (DEGs). Biomarkers were obtained through the intersection of DEGs and potential targets, machine learning, and expression validation. A nomogram was constructed, followed by gene set enrichment analysis (GSEA) of biomarkers and immune infiltration analysis. Molecular docking was conducted, and the expression of biomarkers was evaluated using real-time quantitative reverse transcription PCR (RT-qPCR).Results A total of 69 potential SZW targets and 1,671 DEGs were identified. IKBKB and PRKCA were established as biomarkers for SONFH, and a nomogram was developed. GSEA indicated that IKBKB and PRKCA may influence pathways related to the ribosome. Immune infiltration analysis revealed that CD4+ T cells play a role in SONFH. Molecular docking showed a strong affinity between SZW compounds and biomarkers. The expression of biomarkers in clinical samples aligned with the results from bioinformatics analysis.Conclusion This study identified IKBKB and PRKCA as potential biomarkers and targets for SZW treatment in SONFH.