ArticleFrontiers in genetics2022
Identification and experimental validation of key m6A modification regulators as potential biomarkers of osteoporosis.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Integrative Analysis and Experimental Validation Identify Potential m6A-Related Biomarkers for Osteoporosis.Genes · 2026Article
- A Machine Learning Framework for Screening Plasma Cell-Associated Feature Genes to Estimate Osteoporosis Risk and Treatment Vulnerability.Biochemical genetics · 2025Article
- FTO-associated osteoclastogenesis promotes alveolar bone resorption in apical periodontitis male rat via the HK1/USP14/RANK pathway.Nature communications · 2025Article
- Unraveling the Role of N6-Methylation Modification: From Bone Biology to Osteoporosis.International journal of medical sciences · 2025Review
- Epigenetic Mechanisms in Osteoporosis: Exploring the Power of mJournal of cellular and molecular medicine · 2025Review
- Recent advances of m6A methylation in skeletal system disease.Journal of translational medicine · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Osteoporosis (OP) is a severe systemic bone metabolic disease that occurs worldwide. During the coronavirus pandemic, prioritization of urgent services and delay of elective care attenuated routine screening and monitoring of OP patients. There is an urgent need for novel and effective screening diagnostic biomarkers that require minimal technical and time investments. Several studies have indicated that N6-methyladenosine (m6A) regulators play essential roles in metabolic diseases, including OP. The aim of this study was to identify key m6A regulators as biomarkers of OP through gene expression data analysis and experimental verification. GSE56815 dataset was served as the training dataset for 40 women with high bone mineral density (BMD) and 40 women with low BMD. The expression levels of 14 major m6A regulators were analyzed to screen for differentially expressed m6A regulators in the two groups. The impact of m6A modification on bone metabolism microenvironment characteristics was explored, including osteoblast-related and osteoclast-related gene sets. Most m6A regulators and bone metabolism-related gene sets were dysregulated in the low-BMD samples, and their relationship was also tightly linked. In addition, consensus cluster analysis was performed, and two distinct m6A modification patterns were identified in the low-BMD samples. Subsequently, by univariate and multivariate logistic regression analyses, we identified four key m6A regulators, namely,
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