Evidence map›Paper›PMID 42366267›Full record

ArticleClinical and experimental medicine2026

Identifying coagulation-related biomarkers in steroid-induced osteonecrosis of the femoral head: implications for early diagnosis and treatment.

Congqin Xie, Jian Du, Zhi Liu, Yanlei Lv, Huaijun Ni, Fangyuan Yu

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Article in Clinical and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Congqin XieDepartment of Orthopedics, The Eighth Medical Center of PLA General Hospital, Beijing, China.
Jian DuDepartment of Orthopedics, Linyi Central Hospital, Shandong, Linyi, China.
Zhi LiuDepartment of Orthopedics, The First Affiliated Hospital of Hebei North University, Hebei, Zhangjiakou, China.
Yanlei LvDepartment of Orthopedics, The Eighth Medical Center of PLA General Hospital, Beijing, China.
Huaijun NiDepartment of Orthopedics, Linyi People's Hospital, Shandong, Linyi, China. Lynihso2010@126.com.
Fangyuan YuDepartment of Orthopedics, The Eighth Medical Center of PLA General Hospital, Beijing, China. yufy-1@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Steroid-induced osteonecrosis of the femoral head (SONFH) is closely associated with coagulation dysfunction, but its molecular mechanisms remain incompletely understood. This study aimed to identify coagulation-related biomarkers for SONFH and evaluate their diagnostic relevance. The GSE123568 dataset from the Gene Expression Omnibus database (GEO) was analyzed, and differentially expressed genes (DEGs) were intersected with coagulation-related genes (CRGs) from the Molecular Signatures Database to identify coagulation-related differentially expressed genes (CRDEGs). Functional enrichment analysis was performed to explore the biological processes and pathways associated with these genes, while protein-protein interaction network analysis and three machine learning algorithms were applied to identify key genes. A nomogram model was constructed and evaluated using bootstrap internal validation. Gene set enrichment analysis, single-sample gene set enrichment analysis, competing endogenous RNA network, and Drug Signature Database analyses were performed to explore potential regulatory mechanisms. The expression levels of the key genes were preliminarily assessed by reverse transcription quantitative polymerase chain reaction (RT-qPCR). In total, 49 CRDEGs were identified and were mainly enriched in immune response, blood coagulation, and complement and coagulation cascades. PECAM1, LGALS3, and ANXA5 were identified as key genes. The prediction model constructed based on these genes showed favorable diagnostic discrimination, with a bootstrap AUC of 0.939 (95% CI: 0.840-0.977). RT-qPCR showed decreased PECAM1 and LGALS3 expression and increased ANXA5 expression in SONFH patients. These findings suggest that PECAM1, LGALS3, and ANXA5 may serve as potential coagulation-related biomarkers for SONFH, providing a basis for further clinical validation and mechanistic investigation.

Indexed as

BiomarkersBlood CoagulationFemur Head NecrosisSteroidsEarly DiagnosisGene Expression ProfilingHumansMachine LearningProtein Interaction MapsBiomarkersSteroidsCoagulationKey genesMachine learningOsteonecrosis of the femoral headPrediction model

Identifiers

PMID42366267
PMCPMC13574886

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.