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Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: Studies have found that chondrocyte ferroptosis can be used as an important pathogenesis to induce the occurrence and development of osteoarthritis. With the continuous development of Chinese medicine, some scholars have found that some traditional Chinese medicine monomers and traditional Chinese medicine compounds can inhibit chondrocyte ferroptosis through various mechanisms of action, and finally play a role in the treatment of osteoarthritis. OBJECTIVE: To explore the relationship between ferroptosis and osteoarthritis and the mechanism by which traditional Chinese medicine deals with ferroptosis in the treatment of osteoarthritis, in order to provide new ideas for the treatment and prevention of osteoarthritis. METHODS: With “osteoarthritis, ferroptosis, chondrocytes, lipid metabolism, traditional Chinese medicine, ROS, GPX 4” as the English and Chinese search terms, CNKI, PubMed, WanFang, and VIP databases were searched for relevant articles regarding the relationship between ferroptosis and osteoarthritis and its traditional Chinese medicine intervention until 2022. Then, a systematic analysis was conducted. RESULTS AND CONCLUSION: Intracellular iron overload will cause lipid peroxidation, resulting in the accumulation of reactive oxygen species and eventually the occurrence of ferroptosis, while excessive iron will accelerate the apoptosis of chondrocytes and affect chondrocyte homeostasis, thereby inducing the development of osteoarthritis. When amino acid metabolism is abnormal, an imbalance in glutamate and cystine exchange causes the accumulation of glutamate outside the cells, and high extracellular concentration of glutamate will cause the depletion of glutathione, indirectly inhibiting the function of ferroptosis-related factors, and contributing to ferroptosis. When cellular lipid metabolism is abnormal, unsaturated fatty acids, an important component of the cell membrane, lose their diallyl hydrogen atoms, leading to the destruction of cells to induce ferroptosis, while lipid metabolism is closely involved in the progression of osteoarthritis. Traditional Chinese medicine can play a role in the prevention and treatment of osteoarthritis by inducing the occurrence of ferroptosis. The research on iron death is still immature, and further research on its action mechanism is expected to open up new ways for the clinical treatment of osteoarthritis. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: With the change of disease treatment mode, people have realized the importance of traditional Chinese medicine in the treatment of steroidinduced necrosis of the femoral head (SANFH). Therefore, bioinformatics is used to analyze the pathogenesis of SANFH at the molecular level, build a disease risk model, and predict the potential therapeutic effects of traditional Chinese medicine, so as to provide a theoretical basis for the treatment of SANFH by traditional Chinese medicine in the future. OBJECTIVE: To mine the competing endogenous RNA regulatory network of SANFH based on bioinformatics, analyze its molecular regulatory mechanism in SANFH, predict relevant disease targets, build disease risk models, and predict Chinese herbal medicines with potential therapeutic effects. METHODS: The GEO database was searched to download the SANFH matrix file GSE123568 and gene annotation file GPL15207. The differentially expressed long non-coding RNAs and mRNAs were obtained by software analysis such as R language, and the miRNA-mRNAs associated with the differentially expressed long non-coding RNAs were predicted through the public database. Then, predicted and differentially expressed mRNAs were intersected and integrated to obtain the competing endogenous RNA network. STRING database and Cytoscape software were used to screen key genes and R language was used to analyze the functions and related pathways of key genes and mine the key competing endogenous RNA network. Finally, the risk model of SANFH was constructed according to the key genes and the prediction of traditional Chinese medicine was carried out. RESULTS AND CONCLUSION: Compared with healthy controls, a total of 7 long non-coding RNAs and 1763 mRNAs were differentially expressed in SANFH patients. Six key genes including STAT3, KAT2B, AGO4, JAK2, JAK1, and PTGS2 were identified. The enriched functions of key genes include biological processes such as response to peptide hormones, interleukin-6-mediated signaling pathways, and cell responses to interleukin-6, and are involved in signaling pathways such as JAK-STAT, adipocytokines, and prolactin. Four miRNAs (miR- 135a-5p, miR-137, miR-17-5p, miR-20b-5p) and two long non-coding RNAs (SNHG11, C20orf197) may play a key role in the occurrence and development of SANFH. KAT2B is most likely to be a risk factor for SANFH. Turmeric, Epimedium, and Astragalus have the potential to treat SANFH. Through the analysis of the competing endogenous RNA network mediated by SANFH-related long non-coding RNAs, potential disease targets, signaling pathways, and potential therapeutic traditional Chinese medicines can be identified, providing a reference for further clarifying its pathogenesis in subsequent experimental research. [ABSTRACT FROM AUTHOR]