m6A methylation modification and immune infiltration analysis in osteonecrosis of the femoral head.
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 unc...
| Published in: | Journal of Orthopaedic Surgery & Research pp. 1 - 15 |
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| Main Authors: | , , , , , , |
| Format: | diagnostic images pictorial research tables/charts Journal Article |
| Published: |
BioMed Central
3/15/2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=176079495&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 176079495 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1749799X 38N9 jtl: Journal of Orthopaedic Surgery & Research issn: 1749799X maglogo: N pubinfo: dt: 3/15/2024 pid: 24147 pub: BioMed Central artinfo: ui: 176079495 176079495 176079495 10.1186/s13018-024-04590-6 176079495 ppf: 1 ppct: 14 formats: tig: atl: m6A methylation modification and immune infiltration analysis in osteonecrosis of the femoral head. aug: au: Fang, Weihua Peng, Peng Lin, Kun Xiao, Fangjun He, Wei He, Mincong Wei, Qiushi affil: Guangzhou University of Chinese Medicine, Guangzhou, China sug: subj: Methylation Physiology RNA, Messenger Physiology Gene Expression Femur Head Pathology Osteonecrosis Diagnosis Immune System Physiopathology Human Bioinformatics Random Forest Algorithms Factor Analysis Funding Source ab: 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. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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