ArticleBMC medical genomics2024
Identification and validation of iron metabolism genes in osteoporosis.
Article in BMC medical genomics, 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, 7 citations in OpenAlex.
- Role of YAP/TAZ Mechanobiological Signaling in Osteoporosis and Osteoarthritis.Calcified tissue international · 2026Review
- Targeting CEBPA/ALOX15B attenuates postmenopausal osteoporosis by inhibiting ferroptosis through the AMPK/mTOR signaling pathway.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Yishen Gushu formula exerts osteoprotective effects in OVX-Induced PMOP rats: role of ferroptosis Inhibition and iron metabolism correction.Hereditas · 2026Article
- Gene screening and immune phenotype shifts of osteoporosis.Scientific reports · 2026Article
- Picroside II regulates the YY1/TGFβ1 axis by inhibiting osteoblast ferroptosis to alleviate symptoms of postmenopausal osteoporosis.Cytotechnology · 2025Article
- Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis.Scientific reports · 2025Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOsteoporosis is the most common metabolic bone disease in humans. Exploring the expression difference of iron metabolism-related genes in osteoporosis can provide a new target for diagnosis and treatment.
methodsFirst, we used online databases to identify differentially expressed genes (DEGs) related to iron metabolism in patients with osteoporosis. The differential genes were comprehensively analyzed by bioinformatics method (GO, KEGG, GSEA, immune infiltration analysis, PPI). The expression levels of hub genes and important signaling pathways were verified by qRT-PCR and Western blotting.
resultsA total of 23 iron metabolism-related genes with significant differences were identified, which were enriched in "regulation of protein dephosphorylation" and "negative regulation of protein dephosphorylation". The GSEA results, heme metabolism and Myc targets v1 were among the top two pathways, both upregulated. The immune infiltration analysis revealed that the expressions of genes such as ABCA5, D2HGDH, GNAI2, and CTSW were correlated with the infiltration degree of significantly different cells. The PPI network contained 12 differentially expressed iron metabolism-related genes. Additionally, YWHAE, TGFB1, PPP1R15A, TOP2A, and CALR were mined as hub genes using the Cytoscape software. qRT PCR showed that the expression of TGF-β1, YWHAE, TOP2A and CALR increased. We also verified the expression of related proteins and genes in the oxidative stress signaling pathway by qRT PCR and Western blotting. The results showed that Mob1, YAP and TAZ molecules were highly expressed at the gene and protein levels.
conclusionsThese differentially expressed iron metabolism-related genes could provide new potential targets for the diagnosis and treatment of osteoporosis.
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