Objective:To investigate the repair effect of bone marrow mesenchymal stem cells(BMSCs)on interferon gamma(IFN-γ)induced ovarian granulosa cell immune injury.Methods:A model of IFN-γ-induced ovarian granulosa cell immune injury was estab-lished.KGN cells after modeling were co-cultured with human BMSCs(hBMSCs)and divided into three groups:negative control(NC)group,IFN-γ group,and BMSC group.After co-culture,cell proliferation was determined by a cell counting kit 8 assay for 3 consecu-tive days.Cell apoptosis was determined using an Annexin V-FITC apoptosis detection kit and a CytoFLEX flow cytometer.The estra-diol level and the mRNA expression levels of aromatase CYP19A1 and FSHR were measured to evaluate the hormone synthesis ability.The level of lactate dehydrogenase(LDH),mRNA expression levels of NLRP3,caspase-1(CASP1),and interleukin-1β,and protein expression levels of NLRP3,CASP1,and gasdermin-D were determined to evaluate cell pyroptosis.Results:The proliferation rate of granulosa cells in the IFN-γ group and the BMSC group was lower than that in the NC group at 24 h,48 h and 72 h,and that in the IFN-γ group was lower than that in the BMSC group(P<0.001).The number of apoptotic granulosa cells in the INF-γ group and the BMSC group was higher than that in the NC group,and that in the INF-γ group was higher than that in the BMSC group(P<0.001).The estradiol level in the INF-γ group and the BMSC group was lower than that in the NC group,and that in the INF-γ group was lower than that in the BMSC group(P<0.001).Compared with the IFN-γ group,the mRNA expression of CYP19A1 and FSHR in the BMSC group decreased(P<0.001).Compared with the IFN-γ group,the BMSC group had significantly decreased LDH level,mRNA expression levels of NLRP3 and CASP1,and protein expres-sion level of CASP1.Conclusion:hBMSCs repair the immune in-jury of KGN cells induced by IFN-γ by restoring cell proliferation,inhibiting cell apoptosis,repairing endocrine function,and reducing pyroptosis.

Objective:To explore the relationship between general demographic characteristics,inflammatory indicators,nutritional indicators,pathological data and lymph node metastasis in endometrial cancer(EC)pa-tients,and to construct and validate a model for preoperative prediction of lymph node status in endometrial canc-er patients.Methods:The preoperative clinical data of 473 patients with EC who underwent surgical treatment in the Zhu Jiang Hospital of Southern Medical University from January 2010 to April 2024 were retrospectively ana-lyzed.The independent risk factors of lymph node metastasis of endometrial cancer were screened by univariate and multivariate Logistic regression analyses,and the nomogram prediction model was constructed by R soft-ware.The performance of the model was evaluated by the receiver operating characteristic(ROC)curve,calibra-tion curve and clinical decision curve.Results:Menopausal status,high grade biopsy pathology,CA125 ≥24.47U/ml,systemic immune inflammatory index(SII)≥710.91,and prognostic nutritional index(PNI)＜52.90 were in-dependent risk factors for lymph node metastasis in endometrial cancer(OR＞1,P＜0.05).The nomogram model constructed based on these five factors had an AUC of 0.853 in the training set and 0.871 in the test set.The cali-bration curve fitted well,and the clinical decision curve shows a positive benefit.Conclusions:The endometrial cancer lymph node metastasis prediction model constructed based on menopausal status,biopsy pathology,CA125,SII,and PNI has good accuracy and fit,with certain clinical application value.

Objective:To explore the relationship between general demographic characteristics,inflammatory indicators,nutritional indicators,pathological data and lymph node metastasis in endometrial cancer(EC)pa-tients,and to construct and validate a model for preoperative prediction of lymph node status in endometrial canc-er patients.Methods:The preoperative clinical data of 473 patients with EC who underwent surgical treatment in the Zhu Jiang Hospital of Southern Medical University from January 2010 to April 2024 were retrospectively ana-lyzed.The independent risk factors of lymph node metastasis of endometrial cancer were screened by univariate and multivariate Logistic regression analyses,and the nomogram prediction model was constructed by R soft-ware.The performance of the model was evaluated by the receiver operating characteristic(ROC)curve,calibra-tion curve and clinical decision curve.Results:Menopausal status,high grade biopsy pathology,CA125 ≥24.47U/ml,systemic immune inflammatory index(SII)≥710.91,and prognostic nutritional index(PNI)＜52.90 were in-dependent risk factors for lymph node metastasis in endometrial cancer(OR＞1,P＜0.05).The nomogram model constructed based on these five factors had an AUC of 0.853 in the training set and 0.871 in the test set.The cali-bration curve fitted well,and the clinical decision curve shows a positive benefit.Conclusions:The endometrial cancer lymph node metastasis prediction model constructed based on menopausal status,biopsy pathology,CA125,SII,and PNI has good accuracy and fit,with certain clinical application value.