ArticleInternational journal of general medicine2025
Comprehensive Analysis of the Role of Metabolic Features in Osteoporosis: A Multi-Omics Analysis.
Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Review
- Lactylation-related geneFrontiers in immunology · 2025Article
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Authors and funding
8 authors.
Funding
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Abstract
Purpose: This study aims to comprehensively explore the metabolic features related to the pathogenesis of osteoporosis (OP) through multi-omics analysis strategy. Patients and Methods: Gene expression profiles of OP patients (GSE56815) were downloaded from GEO, and metabolism-related genes (MRGs) were extracted. Plasma samples from 45 OP patients and 18 healthy controls (CON) were collected for metabolomics. We predicted miRNA and transcription factors (TFs) regulating the expression of MRGs on public databases ENCORI and JASPAR, and analyzed the expression levels of target miRNAs using miRNA sequencing of femoral tissues from 7 samples (OP:CON=4:3). Three machine learning algorithms were used to evaluate the diagnostic potential of metabolic signatures for OP. Results: A total of 402 significantly differentially expressed MRGs (DEMRGs) were identified in the transcriptome, and these DEMRGs were enriched in 11 metabolic pathways ( Conclusion: This multi-omics study comprehensively explores the metabolic landscape in OP progression, highlighting the central role of metabolic features in the disease. The constructed multi-omics regulatory network aids in understanding the molecular mechanisms of metabolic features in OP progression.
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Registered trials
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