ArticleJournal of orthopaedic surgery and research2024
m6A methylation modification and immune infiltration analysis in osteonecrosis of the femoral head.
Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Epigenetic dysregulation in osteonecrosis of the femoral head: a critical review of DNA methylation, histone modifications, and clinical translation.Journal of orthopaedic surgery and research · 2026Review
- ALDH5A1 as a key in osteonecrosis of the femoral head: Insights from bioinformatics and experimental validation.Biomedical reports · 2026Article
- YTHDF3 Promoted Gastric Cancer Progression by Facilitating mAnalytical cellular pathology (Amsterdam) · 2026Article
- Injectable hydrogel regulates immune infiltration through physical and chemical synergy in the treatment of steroid-induced osteonecrosis of the femoral head.Materials today. Bio · 2025Article
- Enhanced risk prediction of femoral head osteonecrosis in the elderly: a comparative study of random forest and logistic regression models.Frontiers in medicine · 2025Article
- YTHDF2-Mediated m6A methylation inhibition by miR27a as a protective mechanism against hormonal osteonecrosis in BMSCs.BMC musculoskeletal disorders · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Osteonecrosis of the femoral head (ONFH) is a elaborate hip disease characterized by collapse of femoral head and osteoarthritis. RNA N6-methyladenosine (m6A) plays a crucial role in a lot of biological processes within eukaryotic cells. However, the role of m6A in the regulation of ONFH remains unclear. In this study, we identified the m6A regulators in ONFH and performed subtype classification. We identified 7 significantly differentially expressed m6A regulators through the analysis of differences between ONFH and normal samples in the Gene Expression Omnibus (GEO) database. A random forest algorithm was employed to monitor these regulators to assess the risk of developing ONFH. We constructed a nomogram based on these 7 regulators. The decision curve analysis suggested that patients can benefit from the nomogram model. We classified the ONFH samples into two m6A models according to these 7 regulators through consensus clustering algorithm. After that, we evaluated those two m6A patterns using principal component analysis. We assessed the scores of those two m6A patterns and their relationship with immune infiltration. We observed a higher m6A score of type A than that of type B. Finally, we performed a cross-validation of crucial m6A regulatory factors in ONFH using external datasets and femoral head bone samples. In conclusion, we believed that the m6A pattern could provide a novel diagnostic strategy and offer new insights for molecularly targeted therapy of ONFH.
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Registered trials
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