Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCs
<b>Background</b>: The imbalance between the osteogenic and adipogenic differentiation of mesenchymal stem cells (MSCs) is a key factor in the progression of osteoporosis; therefore, it is crucial to study the regulatory mechanisms that maintain this balance. Ferroptosis is a form of reg...
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2025-04-01
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| author | Jiahao Jin Zihao Yuan Xinglang Wang Quanfeng Li Yunhui Zhang Yibin Zhang Pengfei Ji Yanfeng Wu Peng Wang Wenjie Liu |
| author_facet | Jiahao Jin Zihao Yuan Xinglang Wang Quanfeng Li Yunhui Zhang Yibin Zhang Pengfei Ji Yanfeng Wu Peng Wang Wenjie Liu |
| author_sort | Jiahao Jin |
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| description | <b>Background</b>: The imbalance between the osteogenic and adipogenic differentiation of mesenchymal stem cells (MSCs) is a key factor in the progression of osteoporosis; therefore, it is crucial to study the regulatory mechanisms that maintain this balance. Ferroptosis is a form of regulated cell death caused by the accumulation of lipid peroxides and is closely associated with various diseases. Changes in intracellular oxidative stress levels can affect the lineage allocation of MSCs. However, it remains unclear whether the disruption of intracellular oxidative stress levels caused by ferroptosis can influence the osteogenic–adipogenic differentiation balance of MSCs, and the mechanism underlying this influence in osteoporosis has not been fully elucidated. This study is the first to demonstrate through in vitro cell experiments that inhibiting ferroptosis can decrease the adipogenic differentiation of MSCs. <b>Methods and Results:</b> Through bioinformatics analysis, differentially expressed genes (DEGs) associated with the adipogenic differentiation of MSCs were identified from the GEO database. We then intersected these differentially expressed genes with a ferroptosis-related gene dataset and identified 118 ferroptosis-related differentially expressed genes (FRDEGs). Additionally, we explored the functional roles of FRDEGs through GO and KEGG analyses and found that these genes significantly impacted intracellular oxidative stress. Furthermore, we identified 10 key FRDEGs via protein-protein interaction (PPI) analysis. The diagnostic performance of these genes was evaluated by plotting receiver operating characteristic (ROC) curves, and the reliability of the diagmodel was validated using data from osteoporosis patients. We then constructed a mouse osteoporosis model and validated the mRNA expression levels of key FRDEGs via qRT-PCR, which revealed significant differences in expression in the osteoporosis group. Finally, molecular docking technology was used to identify two small molecules from the DrugBank database that are able to negatively regulate MSC adipogenic differentiation by inhibiting ferroptosis. <b>Conclusions:</b> The identified FRDEGs and small molecules offer novel diagnostic markers and therapeutic candidates for osteoporosis. |
| format | Article |
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| institution | OA Journals |
| issn | 2227-9059 |
| language | English |
| publishDate | 2025-04-01 |
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| series | Biomedicines |
| spelling | doaj-art-bc11e9fec238418c805ede4d544626fa2025-08-20T02:17:14ZengMDPI AGBiomedicines2227-90592025-04-0113494010.3390/biomedicines13040940Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCsJiahao Jin0Zihao Yuan1Xinglang Wang2Quanfeng Li3Yunhui Zhang4Yibin Zhang5Pengfei Ji6Yanfeng Wu7Peng Wang8Wenjie Liu9Department of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaGuangdong Provincial Clinical Research Center for Orthopedic Diseases, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China<b>Background</b>: The imbalance between the osteogenic and adipogenic differentiation of mesenchymal stem cells (MSCs) is a key factor in the progression of osteoporosis; therefore, it is crucial to study the regulatory mechanisms that maintain this balance. Ferroptosis is a form of regulated cell death caused by the accumulation of lipid peroxides and is closely associated with various diseases. Changes in intracellular oxidative stress levels can affect the lineage allocation of MSCs. However, it remains unclear whether the disruption of intracellular oxidative stress levels caused by ferroptosis can influence the osteogenic–adipogenic differentiation balance of MSCs, and the mechanism underlying this influence in osteoporosis has not been fully elucidated. This study is the first to demonstrate through in vitro cell experiments that inhibiting ferroptosis can decrease the adipogenic differentiation of MSCs. <b>Methods and Results:</b> Through bioinformatics analysis, differentially expressed genes (DEGs) associated with the adipogenic differentiation of MSCs were identified from the GEO database. We then intersected these differentially expressed genes with a ferroptosis-related gene dataset and identified 118 ferroptosis-related differentially expressed genes (FRDEGs). Additionally, we explored the functional roles of FRDEGs through GO and KEGG analyses and found that these genes significantly impacted intracellular oxidative stress. Furthermore, we identified 10 key FRDEGs via protein-protein interaction (PPI) analysis. The diagnostic performance of these genes was evaluated by plotting receiver operating characteristic (ROC) curves, and the reliability of the diagmodel was validated using data from osteoporosis patients. We then constructed a mouse osteoporosis model and validated the mRNA expression levels of key FRDEGs via qRT-PCR, which revealed significant differences in expression in the osteoporosis group. Finally, molecular docking technology was used to identify two small molecules from the DrugBank database that are able to negatively regulate MSC adipogenic differentiation by inhibiting ferroptosis. <b>Conclusions:</b> The identified FRDEGs and small molecules offer novel diagnostic markers and therapeutic candidates for osteoporosis.https://www.mdpi.com/2227-9059/13/4/940mesenchymal stem cellsosteoporosisferroptosisadipogenic differentiationmolecular docking |
| spellingShingle | Jiahao Jin Zihao Yuan Xinglang Wang Quanfeng Li Yunhui Zhang Yibin Zhang Pengfei Ji Yanfeng Wu Peng Wang Wenjie Liu Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCs Biomedicines mesenchymal stem cells osteoporosis ferroptosis adipogenic differentiation molecular docking |
| title | Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCs |
| title_full | Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCs |
| title_fullStr | Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCs |
| title_full_unstemmed | Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCs |
| title_short | Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCs |
| title_sort | bioinformatics based analysis of ferroptosis related biomarkers and the prediction of drugs affecting the adipogenic differentiation of mscs |
| topic | mesenchymal stem cells osteoporosis ferroptosis adipogenic differentiation molecular docking |
| url | https://www.mdpi.com/2227-9059/13/4/940 |
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