AUTHOR=Xia Yu , Zhang Haifeng , Wang Heng , Wang Qiufei , Zhu Pengfei , Gu Ye , Yang Huilin , Geng Dechun 

TITLE=Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis

JOURNAL=Frontiers in Endocrinology

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2022.980867

DOI=10.3389/fendo.2022.980867

ISSN=1664-2392

ABSTRACT=<p>Primary osteoporosis has long been underdiagnosed and undertreated. Currently, ferroptosis may be a promising research direction in the prevention and treatment of primary osteoporosis. However, the specific mechanism of ferroptosis in primary osteoporosis remains a mystery. Differentially expressed genes (DEGs) were identified in bone mesenchymal stromal cells (BMSCs) of primary osteoporosis and heathy patients from the GEO databases with the help of bioinformatics analysis. Then, we intersected these DEGs with the ferroptosis dataset and obtained 80 Ferr-DEGs. Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. Additionally, we explored the potential functional roles of the Ferr-DEGs <italic>via</italic> GO and KEGG. Protein–protein interactions (PPI) were used to predict potential interactive networks. Finally, 80 Ferr-DEGs and 5 key Ferr-DEGs were calculated. The 5 key Ferr-DEGs were further verified in the OVX mouse model. In conclusion, through a variety of bioinformatics methods, our research successfully identified 5 key Ferr-DEGs associated with primary osteoporosis and ferroptosis, namely, sirtuin 1(<italic>SIRT1</italic>), heat shock protein family A (<italic>Hsp70</italic>) member 5 (<italic>HSPA5</italic>), mechanistic target of rapamycin kinase (<italic>MTOR</italic>), hypoxia inducible factor 1 subunit alpha (<italic>HIF1A</italic>) and beclin 1 (<italic>BECN1</italic>), which were verified in an animal model.</p>