[Toxic effect and mechanism of Tripterygium glycosides on ovarian germline stem cells of mice in vitro by Notch signaling pathway].

The ovarian germline stem cells(OGSCs) cultured in the optimized culture system were used as the research object to observe the effect of Tripterygium glycosides(TG) on OGSCs and explore the mechanism of reproductive toxicity by the Notch signaling pathway. Cell counting kit-8(CCK-8) was used to observe the viability level of OGSCs in mice cultured in vitro by TG of 3.75, 7.5, and 15 µg·mL~(-1). Immunofluorescence technology and reverse transcription-polymerase chain reaction(RT-PCR) were used to detect the protein and gene expression level of OGSCs marker mouse vasa homologue(MVH) and octamer-binding transcription factor 4(Oct4) by TG of 3.75 µg·mL~(-1). RT-PCR detected the gene expression of neurogenic locus Notch homolog protein 1(Notch1), Hes family BHLH transcription factor 1(Hes1), and jagged canonical Notch ligand 1(Jagged1). The RNA was extracted for transcriptome analysis to analyze the mechanism of action of TG intervention on OGSCs. 3.75 µg·mL~(-1) of TG was combined with 40 ng·mL~(-1) Notch signaling pathway γ-secretagocin agonist jagged canonical notch ligand(Jagged) for administration. CCK-8 was used to detect the viability level of OGSCs. Double immunofluorescence technology was used to detect the protein co-expression of MVH with Hes1, Notch1, and Jagged1. The results showed that compared with the blank group, the TG administration group significantly inhibited the activity of OGSCs(P<0.01 or P<0.001). It could reduce the protein and gene expression of OGSC markers, namely MVH and Oct4(P<0.05, P<0.01, or P<0.001). It could significantly inhibit the gene expression of Notch1, Hes1, and Jagged1(P<0.001). Transcriptomic analysis showed that TG affected the growth and proliferation of OGSCs by intervening Jagged1, a ligand associated with the Notch signaling pathway. The experimental results showed that the combination of Notch signaling pathway γ-secretagorein agonist Jagged could significantly alleviate the decrease in OGSC viability induced by TG(P<0.001) and significantly increased the OGSC viability compared with the TG group(P<0.001). It also could significantly increase the co-expression of MVH/Jagged1, MVH/Hes1, and MVH/Notch1 proteins(P<0.01 or P<0.001). It suggested that TG play the role of γ-secretagorease inhibitors by downregulating the OGSC markers including MVH and Oct4 and Notch signaling pathway molecules such as Notch1, Hes1, and Jagged1, participate in the OGSC pathway, and mediate reproductive toxicity caused by the Notch signaling pathway.

Construction of a clinical prediction model for the impact of acupuncture on pregnancy outcomes in poor ovarian response (POR) patients based on a patient registry research platform. / åŸºäºŽç— ä¾‹æ³¨å†Œç™»è®°ç ”ç©¶å¹³å°æž„å»ºé’ˆç¸å¯¹åµå·¢ä½Žååº”æ‚£è€ å¦Šå¨ ç»“å±€çš„ä¸´åºŠé¢„æµ‹æ¨¡åž‹.

OBJECTIVES: To construct a clinical prediction model for the impact of acupuncture on pregnancy outcomes in poor ovarian response (POR) patients, providing insights and methods for predicting pregnancy outcomes in POR patients undergoing acupuncture treatment. METHODS: Clinical data of 268 POR patients (2 cases were eliminated) primarily treated with "thirteen needle acupuncture for Tiaojing Cuyun (regulating menstruation and promoting pregnancy)" was collected from the international patient registry platform of acupuncture moxibustion (IPRPAM) from September 19, 2017 to April 30, 2023, involving 24 clinical centers including Acupuncture-Moxibustion Hospital of China Academy of Chinese Medical Sciences. LASSO and univariate Cox regression were used to screen factors influencing pregnancy outcomes, and a multivariate Cox regression model was established based on the screening results. The best model was selected using the Akaike information criterion (AIC), and a nomogram for clinical pregnancy prediction was constructed. The prediction model was evaluated using receiver operating characteristic (ROC) curves and calibration curves, and internal validation was performed using the Bootstrap method. RESULTS: (1) Age, level of anti-Müllerian hormone (AMH), and total treatment numbers of acupuncture were independent predictors of pregnancy outcomes in POR patients receiving acupuncture (P<0.05). (2) The AIC value of the best subset-Cox multivariate model (560.6) was the smallest, indicating it as the optimal model. (3) The areas under curve (AUCs) of the clinical prediction model after 6, 12, 24, and 36 months treatment were 0.627, 0.719, 0.770, and 0.766, respectively, and in the validation group, they were 0.620, 0.704, 0.759, and 0.765, indicating good discrimination and repeatability of the prediction model. (4) The calibration curve showed that the prediction curve of the clinical prediction model was close to the ideal model's prediction curve, indicating good calibration of the prediction model. CONCLUSIONS: The clinical prediction model for the impact of acupuncture on pregnancy outcomes in POR patients based on the IPRPAM platform has good clinical application value and provides insights into predicting pregnancy outcomes in POR patients undergoing acupuncture treatment.

Optimisation of the Extraction Process of Naringin and Its Effect on Reducing Blood Lipid Levels In Vitro.

The naringin extraction process was optimised using response surface methodology (RSM). A central component design was adopted, which included four parameters: extraction temperature (X1), material-liquid ratio (X2), extraction time (X3), and ultrasonic frequency (X4) of 74.79 °C, 1.58 h, 1:56.51 g/mL, and 28.05 KHz, respectively. Based on these optimal extraction conditions, naringin was tested to verify the model's accuracy. Naringin yield was 36.2502 mg/g, which was equivalent to the predicted yield of 36.0124 mg/g. DM101 macroporous adsorption resin was used to purify naringin. The effects of loading concentration, loading flow rate, and sample pH on the adsorption rate of naringin and the effect of ethanol concentration on the desorption rate of naringin were investigated. The optimum conditions for naringin purification using macroporous resins were determined. The optimal loading concentration, sample solution pH, and loading flow rate were 0.075 mg/mL, 3.5, and 1.5 mL/min, respectively. Three parallel tests were conducted under these conditions, and the average naringin yield was 77.5643%. Naringin's structure was identified using infrared spectroscopy and nuclear magnetic resonance. In vitro determination of the lipid-lowering activity of naringin was also conducted. These results showed that naringin has potential applications as a functional food for lowering blood lipid levels.