Unraveling Key m6A Modification Regulators Signatures in Postmenopausal Osteoporosis through Bioinformatics and Experimental Verification.

OBJECTIVE: Bone marrow mesenchymal stem cells (BMSCs) show significant potential for osteogenic differentiation. However, the underlying mechanisms of osteogenic capability in osteoporosis-derived BMSCs (OP-BMSCs) remain unclear. This study aims to explore the impact of YTHDF3 (YTH N6-methyladenosine RNA binding protein 3) on the osteogenic traits of OP-BMSCs and identify potential therapeutic targets to boost their bone formation ability. METHODS: We examined microarray datasets (GSE35956 and GSE35958) from the Gene Expression Omnibus (GEO) to identify potential m6A regulators in osteoporosis (OP). Employing differential, protein interaction, and machine learning analyses, we pinpointed critical hub genes linked to OP. We further probed the relationship between these genes and OP using single-cell analysis, immune infiltration assessment, and Mendelian randomization. Our in vivo and in vitro experiments validated the expression and functionality of the key hub gene. RESULTS: Differential analysis revealed seven key hub genes related to OP, with YTHDF3 as a central player, supported by protein interaction analysis and machine learning methodologies. Subsequent single-cell, immune infiltration, and Mendelian randomization studies consistently validated YTHDF3's significant link to osteoporosis. YTHDF3 levels are significantly reduced in femoral head tissue from postmenopausal osteoporosis (PMOP) patients and femoral bone tissue from PMOP mice. Additionally, silencing YTHDF3 in OP-BMSCs substantially impedes their proliferation and differentiation. CONCLUSION: YTHDF3 may be implicated in the pathogenesis of OP by regulating the proliferation and osteogenic differentiation of OP-BMSCs.

[Prognosis of patients with intracerebral hemorrhage].

OBJECTIVE: To study the related factors of patients with intracerebral hemorrhage (ICH) so as to guide treatment and predict prognosis. METHODS: The prognostic factors of 463 cases with intracerebral hemorrhage were analyzed with single factor and Logistic regression analyses. RESULTS: Age, Glasgow coma scale, amount of hemorrhage, NIHSS score, mean arterial blood pressure, with or without ventricular breakage, with or without midline shift and the incidence of complications at random blood glucose levels were analyzed for the correlation with the prognosis of patients. The poor prognosis group had significant differences with the good prognosis group with regards to these factors. The average age of patients with a poor prognosis was 71 years old, the average hematoma volume 29 ml and the average GCS score 11.2 versus 65 years old, 15 ml, 15.1 for those with a good prognosis (P < 0.05). Logistic regression analysis showed that age, amount of hemorrhage and disturbance of consciousness was an independent adverse prognostic factor for cerebral hemorrhage at three months. The OR values were 1.32, 8.66 and 1.08 respectively. CONCLUSION: The etiologies of ICH are diverse. Maintaining normal blood pressure is an important preventive measure for ICH. Hematoma volume, disturbance of consciousness and age may be used to predict the prognosis of cerebral hemorrhage.