1.Mechanism of Action of Guishenwan in Treatment of Ovarian Insufficiency Diseases: A Review
Yao CHEN ; Sainan TIAN ; Bin'an WANG ; Shengyu WANG ; Wen'e LIU ; Lei LEI ; Li TANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):317-324
Guishenwan (GSW), originating from Jingyue Quanshu (Zhang Jingyue's Complete Works), is a classic traditional Chinese medicine (TCM) formula with a history of over 400 years. Designed for kidney essence deficiency syndrome, it is clinically applied to treat diseases associated with essence-blood deficiency, such as ovarian insufficiency diseases in women, oligospermia-induced infertility in men, and lumbar disc herniation. Numerous studies have confirmed its significant efficacy and advantages in managing ovarian insufficiency diseases, including diminished ovarian reserve (DOR), premature ovarian insufficiency (POI), and premature ovarian failure (POF). According to recent literature, the therapeutic mechanisms of GSW in treating ovarian insufficiency diseases involve regulating the hypothalamic-pituitary-ovarian axis (HPOA) function, ameliorating reproductive endocrine disorders, improving ovarian function, modulating relevant signaling pathways, and exerting immunoregulatory and anti-inflammatory effects. A review of GSW in clinical treatment revealed that clinical applications of GSW, particularly in combination with Western medicine, not only alleviate symptoms but also compensate for the limitations of hormone replacement therapy, thereby reducing recurrence, minimizing adverse reactions, and enhancing safety. This review aims to provide a scientific basis for the rational clinical use of GSW in ovarian insufficiency diseases, offer innovative TCM strategies for developing novel ovarian-protective drugs, promote the integration of TCM and Western medicine in reproductive medicine, and ultimately contribute a Chinese approach to global management of ovarian insufficiency diseases.
3.Rbbp6-Mediated Bmal1 Ubiquitination Inhibits YAP1 Signaling Pathway to Promote Ferroptosis in Diabetes-Induced Testicular Damage
Yuan TIAN ; Zhiqiang ZHU ; Jun QIAO ; Bei LIU ; Yuehai XIAO
Diabetes & Metabolism Journal 2025;49(2):210-224
Background:
Diabetes-induced testicular damage (DITD) is a common complication of diabetes. We investigated underlying mechanism of retinoblastoma-binding protein 6 (Rbbp6)-mediated brain and muscle ARNT-like 1 (Bmal1) ubiquitination in modulating ferroptosis in DITD.
Methods:
Spermatogenic cell apoptosis and viability were measured by flow cytometry and cell counting kit 8 (CCK-8), respectively. The impact of Rbbp6 and Bmal1 on ferroptosis was assessed by determining expression of ferroptosis markers glutathione peroxidase 4 (GPX4) and solute carrier family 7 member 11 (SLC7A11), and levels of malondialdehyde (MDA), glutathione (GSH), iron, and lipid peroxidation. Co-immunoprecipitation was performed to determine the interaction between Rbbp6 and Bmal1, as well as the ubiquitination level of Bmal1. The expression levels of Rbbp6, Bmal1, Yes-associated protein 1 (YAP1), ferroptosis markers, and testicular steroidogenic enzymes were tested by Western blot.
Results:
Bmal1 protein expression was significantly downregulated, while Rbbp6 was upregulated in DITD mouse model and high glucose (HG)-induced GC-1 spg cells. Overexpression of Bmal1 improved testicular injury in diabetic mice, reduced 4-hydroxynonenal (4-HNE), MDA, iron levels, and increased expression levels of GPX4, SLC7A11, GSH, as well as testicular steroidogenic enzymes. Rbbp6 decreased Bmal1 level through promoting its ubiquitination. Meanwhile, Rbbp6 knockdown inhibited the ferroptosis of HG-induced GC-1 spg cells, which were abolished by silencing Bmal1. In addition, knockdown of YAP1 or treatment with ferroptosis inducer erastin blocked the above effects caused by Bmal1 overexpression.
Conclusion
Rbbp6-mediated Bmal1 ubiquitination suppressed YAP1 pathway, promoting ferroptosis in DITD. This study highlighted Rbbp6/Bmal1/YAP1 axis as a potential therapeutic target for mitigating DITD.
4.PLUNC downregulates the expression of PD-L1 by inhibiting the interaction of DDX17/β-catenin in nasopharyngeal carcinoma
Ranran FENG ; Yilin GUO ; Meilin CHEN ; Ziying TIAN ; Yijun LIU ; Su JIANG ; Jieyu ZHOU ; Qingluan LIU ; Xiayu LI ; Wei XIONG ; Lei SHI ; Songqing FAN ; Guiyuan LI ; Wenling ZHANG
Journal of Pathology and Translational Medicine 2025;59(1):68-83
Background:
Nasopharyngeal carcinoma (NPC) is characterized by high programmed death-ligand 1 (PD-L1) expression and abundant infiltration of non-malignant lymphocytes, which renders patients potentially suitable candidates for immune checkpoint blockade therapies. Palate, lung, and nasal epithelium clone (PLUNC) inhibit the growth of NPC cells and enhance cellular apoptosis and differentiation. Currently, the relationship between PLUNC (as a tumor-suppressor) and PD-L1 in NPC is unclear.
Methods:
We collected clinical samples of NPC to verify the relationship between PLUNC and PD-L1. PLUNC plasmid was transfected into NPC cells, and the variation of PD-L1 was verified by western blot and immunofluorescence. In NPC cells, we verified the relationship of PD-L1, activating transcription factor 3 (ATF3), and β-catenin by western blot and immunofluorescence. Later, we further verified that PLUNC regulates PD-L1 through β-catenin. Finally, the effect of PLUNC on β-catenin was verified by co-immunoprecipitation (Co-IP).
Results:
We found that PLUNC expression was lower in NPC tissues than in paracancer tissues. PD-L1 expression was opposite to that of PLUNC. Western blot and immunofluorescence showed that β-catenin could upregulate ATF3 and PD-L1, while PLUNC could downregulate ATF3/PD-L1 by inhibiting the expression of β-catenin. PLUNC inhibits the entry of β-catenin into the nucleus. Co-IP experiments demonstrated that PLUNC inhibited the interaction of DEAD-box helicase 17 (DDX17) and β-catenin.
Conclusions
PLUNC downregulates the expression of PD-L1 by inhibiting the interaction of DDX17/β-catenin in NPC.
5.Research on the Correlation between Balance Function and Core Muscles in Patients With Adolescent Idiopathic Scoliosis
Si-Jia LI ; Qing YUE ; Qian-Jin LIU ; Yan-Hua LIANG ; Tian-Tian ZHOU ; Xiao-Song LI ; Tian-Yang FENG ; Tong ZHANG
Neurospine 2025;22(1):264-275
Objective:
This study aimed to explore the correlation between balance function and core muscle activation in patients with adolescent idiopathic scoliosis (AIS), compared to healthy individuals.
Methods:
A total of 24 AIS patients and 25 healthy controls were recruited. The limits of stability (LOS) test were conducted to assess balance function, while surface electromyography was used to measure the activity of core muscles, including the internal oblique, external oblique, and multifidus. Diaphragm thickness was measured using ultrasound during different postural tasks. Center of pressure (COP) displacement and trunk inclination distance were also recorded during the LOS test.
Results:
AIS patients showed significantly greater activation of superficial core muscles, such as the internal and external oblique muscles, compared to the control group (p < 0.05). Diaphragm activation was lower in AIS patients during balance tasks (p < 0.01). Although no significant difference was observed in COP displacement between the groups, trunk inclination was significantly greater in the AIS group during certain tasks (p < 0.05).
Conclusion
These findings suggest distinct postural control patterns in AIS patients, highlighting the importance of targeted interventions to improve balance and core muscle function in this population.
6.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
7.Effect and mechanism of Jingangteng capsules in the treatment of non-alcoholic fatty liver disease based on gut microbiota and metabolomics
Shiyuan CHENG ; Yue XIONG ; Dandan ZHANG ; Jing LI ; Zhiying SUN ; Jiaying TIAN ; Li SHEN ; Yue SHEN ; Dan LIU ; Qiong WEI ; Xiaochuan YE
China Pharmacy 2025;36(11):1340-1347
OBJECTIVE To investigate the effect and mechanism of Jingangteng capsules in the treatment of non-alcoholic fatty liver disease (NAFLD). METHODS Thirty-two SD rats were randomly divided into normal group and modeling group. The modeling group was fed a high-fat diet to establish a NAFLD model. The successfully modeled rats were then randomly divided into model group, atorvastatin group[positive control, 2 mg/(kg·d)], and Jingangteng capsules low- and high-dose groups [0.63 and 2.52 mg/(kg·d)], with 6 rats in each group. The pathological changes of the liver were observed by hematoxylin-eosin staining and oil red O staining. Enzyme-linked immunosorbent assay was performed to determine the serum levels of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), alanine transaminase (ALT), aspartate transaminase (AST), tumour necrosis factor-α (TNF-α), interleukin-1β (IL-1β), IL-6, IL-18. 16S rDNA amplicon sequencing and metabolomics techniques were applied to explore the effects of Jingangteng capsules on gut microbiota and metabolisms in NAFLD rats. Based on the E-mail:591146765@qq.com metabolomics results, Western blot analysis was performed to detect proteins related to the nuclear factor kappa-B (NF-κB)/NOD-like receptor family protein 3 (NLRP3) signaling pathway in the livers of NAFLD rats. RESULTS The experimental results showed that Jingangteng capsules could significantly reduce the serum levels of TG, TC, LDL-C, AST, ALT, TNF-α, IL-1β, IL-6, IL-18, while increased the level of HDL-C, and alleviated the hepatic cellular steatosis and inflammatory infiltration in NAFLD rats. They could regulate the gut microbiota disorders in NAFLD rats, significantly increased the relative abundance of Romboutsia and Oscillospira, and significantly decreased the relative abundance of Blautia (P<0.05). They also regulated metabolic disorders primarily by affecting secondary bile acid biosynthesis, fatty acid degradation, O-antigen nucleotide sugar biosynthesis, etc. Results of Western blot assay showed that they significantly reduced the phosphorylation levels of NF-κB p65 and NF-κB inhibitor α, and the protein expression levels of NLRP3, caspase-1 and ASC (P<0.05 or P<0.01). CONCLUSIONS Jingangteng capsules could improve inflammation, lipid accumulation and liver injury in NAFLD rats, regulate the disorders of gut microbiota and metabolisms, and inhibit NF-κB/NLRP3 signaling pathway. Their therapeutic effects against NAFLD are mediated through the inhibition of the NF-κB/NLRP3 signaling pathway.
8.Comparison of multiple machine learning models for predicting the survival of recipients after lung transplantation
Lingzhi SHI ; Yaling LIU ; Haoji YAN ; Zengwei YU ; Senlin HOU ; Mingzhao LIU ; Hang YANG ; Bo WU ; Dong TIAN ; Jingyu CHEN
Organ Transplantation 2025;16(2):264-271
Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC 6 months 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC 1 year 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.
9.Study of adsorption of coated aldehyde oxy-starch on the indexes of renal failure
Qian WU ; Cai-fen WANG ; Ning-ning PENG ; Qin NIE ; Tian-fu LI ; Jian-yu LIU ; Xiang-yi SONG ; Jian LIU ; Su-ping WU ; Ji-wen ZHANG ; Li-xin SUN
Acta Pharmaceutica Sinica 2025;60(2):498-505
The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure
10.Incidence and influencing factors of stroke in type 2 diabetes patients in the community of Shanghai
Shaobo LIU ; Juanjuan TIAN ; Yunshan ZHAO ; Jinghong YE
Shanghai Journal of Preventive Medicine 2025;37(1):53-59
ObjectiveTo investigate the incidence of stroke in patients with type 2 diabetes mellitus (T2DM) in the community of Shanghai, and to explore its influencing factors. MethodsA two-way cohort study was used to observe the incidence of stroke in a dynamic cohort of14 743 community-based T2DM patients who were enrolled for management from January 2016 to December 2018 in Hongkou District, Shanghai. All the research subjects were followed up for 3 years to observe the stroke occurrence. Outcome events were retrospectively collected from the Shanghai Stroke and Acute Myocardial Infarction Registry Reporting Information System and the Cause of Death Registry System, and information on stroke onset and verification of past medical history were collected by family physicians through clinic follow-up, home follow-up, and telephone follow-up. Cox proportional hazards model was used to identify the risk factors of stroke in TDM2 patients, and the hazard ratio (HR) and its 95% confidence interval (CI) were calculated. ResultsAfter a mean follow up of 3.5 years, the standardized incidence of stroke in patients with T2DM was 8.65‰, and the risk of standardized incidence was 3.50 (95%CI: 3.26‒3.77) compared with that of the total national population. Cox proportional hazards regression analysis showed that age (HR=1.18, 95%CI: 1.13‒1.23), being female (HR=1.14, 95%CI: 1.01‒1.29), physical activity <600 metabolic equivalent (MET)·min·week-1 (HR=1.24, 95%CI: 1.06‒1.44), substandard of HbA1c control (HR=1.16, 95%CI: 1.03‒1.30), occasional smoker(HR=1.23, 95%CI: 1.04‒1.45), and those who took insulin therapy (HR=1.36, 95%CI: 1.11‒1.66) were associated with an increased risk of stroke, while those received contracted services from family doctors were associated with a decreased risk of stroke(HR=0.78, 95%CI: 0.71‒0.88). ConclusionCommunity T2DM population in Shanghai has a high risk of stroke. It is necessary to continue to explore the positive role of family doctor contract service management model, strengthen individualized exercise, smoking cessation and other lifestyle interventions, and strictly control blood glucose as soon as one can to delay or avoid the occurrence of complications.

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