[Mechanism of Huangqin Qingre Chubi Capsules regulating p53/p21 signaling pathway to delay chondrocyte senescence in osteoarthritic rats].

This study aims to investigate the mechanism of Huangqin Qingre Chubi Capsules(HQC) in delaying chondrocyte senescence of osteoarthritic(OA) rats by regulating the p53/p21 signaling pathway. Rheumatic fever paralysis models of OA rats were induced based on monosodiun iodoacetate(MIA) combined with external rheumatic fever environmental stimuli and divided into normal(Con) group, OA model(MIA) group, OA model+rheumatic fever stimulation model(MIA-M) group, MIA-M+HQC low-dose(MIA-M+HQC-L) group, medium-dose(MIA-M+HQC-M) group, and high-dose(MIA-M+HQC-H) group, and MIA-M+glucosamine(MIA-M+GS) group. The models were successfully prepared and administered by gavage for 30 d. The pathological changes of cartilage were observed by hematoxylin-eosin(HE) and Senna O solid green(SO) staining. The expression of interleukin(IL)-1ß and IL-6 was detected by enzyme-linked immunosorbent assay(ELISA). Flow cytometry(FCM) was used to detect apoptosis and cell cycle. The mRNA expression of MMP13, ADAMTS-5, COLⅡ, and TGF-ß was detected by RT-qPCR. The protein expression of p53/p21, p16, Bax, and Bcl-2 was detected by Western blot. The articular cartilage surface of rats in the Con group was smooth, and the tide line was smooth. The cartilage layer of MIA and MIA-M groups was obviously damaged, and the cartilage matrix was reduced. The above conditions were more severe in the MIA-M group. The cartilage surface of the HQC high-dose group and MIA-M+GS group was basically intact with clear delamination. Compared with the MIA-M+HQC-H group, Mankin's score was higher in the HQC low-dose and medium-dose groups, and the change was not obvious in the MIA-M+GS group. Compared with the Con group, the proportion of chondrocytes G_1 was elevated in the MIA and MIA-M groups, and the proportion of the S phase and G_2 phase was significantly decreased. In addition, the apoptosis rate was increased. Compared with MIA-M, HQC groups inhibited apoptosis and promoted cell proliferation in a concentration-dependent manner. Compared with the MIA-M+HQC-H group, the effect was more significant in the HQC high-dose group than in the HQC medium-low dose, while it was not significant in the MIA-M+GS group. Compared with the Con group, IL-1ß and IL-6 were elevated in the MIA and MIA-M groups, and mRNA levels of MMP13 and ADAMTS-5 were elevated. p53, p21, p16, and Bax protein were elevated, and mRNA levels of COLⅡ and TGF-ß were decreased. Compared with the MIA-M group, IL-1ß and IL-6 decreased after drug interventions of HQC and GS, and mRNA levels of MMP13 and ADAMTS-5, as well as protein levels of p53, p21, Bax, and p16 decreased. In addition, Bcl-2 increased. The improvement of these indexes was significantly better in the MIA-M+HQC-H group than in the HQC low-dose and medium-dose groups, and the difference with the MIA-M+GS group was not significant. HQC delayed MIA-induced chondrocyte senescence in OA rats, inhibited inflammatory response and extracellular matrix(ECM) degradation, and its mechanism may be related to the inhibition of the p53/p21 pathway.

[Identification of Osteoarthritis Inflamm-Aging Biomarkers by Integrating Bioinformatic Analysis and Machine Learning Strategies and the Clinical Validation]. / ç”Ÿç‰©ä¿¡æ¯å­¦å’Œæœºå™¨å­¦ä¹ ç­–ç•¥è¯†åˆ«éª¨å ³èŠ‚ç‚Žç‚Žæ€§è¡°è€ç”Ÿç‰©æ ‡å¿—ç‰©ä¸Žä¸´åºŠéªŒè¯.

Objective: To identify inflamm-aging related biomarkers in osteoarthritis (OA). Methods: Microarray gene profiles of young and aging OA patients were obtained from the Gene Expression Omnibus (GEO) database and aging-related genes (ARGs) were obtained from the Human Aging Genome Resource (HAGR) database. The differentially expressed genes of young OA and older OA patients were screened and then intersected with ARGs to obtain the aging-related genes of OA. Enrichment analysis was performed to reveal the potential mechanisms of aging-related markers in OA. Three machine learning methods were used to identify core senescence markers of OA and the receiver operating characteristic (ROC) curve was used to assess their diagnostic performance. Peripheral blood mononuclear cells were collected from clinical OA patients to verify the expression of senescence-associated secretory phenotype (SASP) factors and senescence markers. Results: A total of 45 senescence-related markers were obtained, which were mainly involved in the regulation of cellular senescence, the cell cycle, inflammatory response, etc. Through the screening with the three machine learning methods, 5 core senescence biomarkers, including FOXO3, MCL1, SIRT3, STAG1, and S100A13, were obtained. A total of 20 cases of normal controls and 40 cases of OA patients, including 20 cases in the young patient group and 20 in the elderly patient group, were enrolled. Compared with those of the young patient group, C-reactive protein (CRP), interleukin (IL)-6, and IL-1ß levels increased and IL-4 levels decreased in the elderly OA patient group (P<0.01); FOXO3, MCL1, and SIRT3 mRNA expression decreased and STAG1 and S100A13 mRNA expression increased (P<0.01). Pearson correlation analysis demonstrated that the selected markers were associated with some indicators, including erythrocyte sedimentation rate (ESR), IL-1ß, IL-4, CRP, and IL-6. The area under the ROC curve of the 5 core aging genes was always greater than 0.8 and the C-index of the calibration curve in the nomogram prediction model was 0.755, which suggested the good calibration ability of the model. Conclusion: FOXO3, MCL1, SIRT3, STAG1, and S100A13 may serve as novel diagnostic biomolecular markers and potential therapeutic targets for OA inflamm-aging.