Objective To observe the clinical efficacy of Zishen Shujing decoction in the treatment of kidney deficiency and liver depression type premature ovarian failure(POF).Methods A total of 70 female POF patients who visited the Fourth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine from July 2023 to April 2024 were selected as the research subjects,they were divided into traditional Chinese medicine(TCM)treatment group(n=35)and Western medicine treatment group(n=35)by using a random number table method.Western medicine treatment group was treated with femostone,and TCM treatment group was treated with Zishen Shujing decoction.Differences of TCM syndrome scores and clinical efficacy were compared between two groups before and after treatment,and changes of peripheral blood follicle-simulating hormone(FSH),anti-Müllerian hormone(AMH),anal follicle count(AFC)and interleukin(IL)-4,IL-6 before and after treatment were compared.Results The effective rate of TCM treatment group was higher than that of Western medicine treatment group,the difference was statistically significant(P<0.05).The TCM syndrome scores after treatment were lower than before treatment,and TCM treatment group was lower than Western medicine treatment group,the difference was statistically significant(P<0.05).After treatment,FSH levels in two groups were lower than before treatment,AMH and AFC levels were higher than before treatment,and improvement of hormone levels,AMH and AFC in TCM treatment group was better than that in Western medicine treatment group,with statistical significance(P<0.05).After treatment,the anti-inflammatory factors IL-4 were increased,and the pro-inflammatory factors IL-6 were decreased,and the increase effect of anti-inflammatory factors and the decrease effect of pro-inflammatory factors in TCM treatment group were better than those in Western medicine treatment group with statistical significance(P<0.05).Conclusion Zishen Shujing decoction can improve the clinical symptoms,serum hormone levels of POF patients with kidney deficiency and liver depression,improve ovarian function,reduce immune inflammation,reduce oxidative stress,and effectively improve the quality of life of patients.

Objective: To explore the feasibility of constructing a lung cancer early-warning risk model based on facial image features, providing novel insights into the early screening of lung cancer. Methods: This study included patients with pulmonary nodules diagnosed at the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from November 1, 2019 to December 31, 2024, as well as patients with lung cancer diagnosed in the Oncology Departments of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine and Longhua Hospital during the same period. The facial image information of patients with pulmonary nodules and lung cancer was collected using the TFDA-1 tongue and facial diagnosis instrument, and the facial diagnosis features were extracted from it by deep learning technology. Statistical analysis was conducted on the objective facial diagnosis characteristics of the two groups of participants to explore the differences in their facial image characteristics, and the least absolute shrinkage and selection operator (LASSO) regression was used to screen the characteristic variables. Based on the screened feature variables, four machine learning methods: random forest, logistic regression, support vector machine (SVM), and gradient boosting decision tree (GBDT) were used to establish lung cancer classification models independently. Meanwhile, the model performance was evaluated by indicators such as sensitivity, specificity, F1 score, precision, accuracy, the area under the receiver operating characteristic (ROC) curve (AUC), and the area under the precision-recall curve (AP). Results: A total of 1 275 patients with pulmonary nodules and 1 623 patients with lung cancer were included in this study. After propensity score matching (PSM) to adjust for gender and age, 535 patients were finally included in the pulmonary nodule group and the lung cancer group, respectively. There were significant differences in multiple color space metrics (such as R, G, B, V, L, a, b, Cr, H, Y, and Cb) and texture metrics [such as gray-levcl co-occurrence matrix (GLCM)-contrast (CON) and GLCM-inverse different moment (IDM)] between the two groups of individuals with pulmonary nodules and lung cancer (P < 0.05). To construct a classification model, LASSO regression was used to select 63 key features from the initial 136 facial features. Based on this feature set, the SVM model demonstrated the best performance after 10-fold stratified cross-validation. The model achieved an average AUC of 0.8729 and average accuracy of 0.799 0 on the internal test set. Further validation on an independent test set confirmed the model’s robust performance (AUC = 0.823 3, accuracy = 0.729 0), indicating its good generalization ability. Feature importance analysis demonstrated that color space indicators and the whole/lip Cr components (including color-B-0, wholecolor-Cr, and lipcolor-Cr) were the core factors in the model’s classification decisions, while texture indicators [GLCM-angular second moment (ASM)_2, GLCM-IDM_1, GLCM-CON_1, GLCM-entropy (ENT)_2] played an important auxiliary role. Conclusion The facial image features of patients with lung cancer and pulmonary nodules show significant differences in color and texture characteristics in multiple areas. The various models constructed based on facial image features all demonstrate good performance, indicating that facial image features can serve as potential biomarkers for lung cancer risk prediction, providing a non-invasive and feasible new approach for early lung cancer screening.

Objective To observe the clinical efficacy of Zishen Shujing decoction in the treatment of kidney deficiency and liver depression type premature ovarian failure(POF).Methods A total of 70 female POF patients who visited the Fourth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine from July 2023 to April 2024 were selected as the research subjects,they were divided into traditional Chinese medicine(TCM)treatment group(n=35)and Western medicine treatment group(n=35)by using a random number table method.Western medicine treatment group was treated with femostone,and TCM treatment group was treated with Zishen Shujing decoction.Differences of TCM syndrome scores and clinical efficacy were compared between two groups before and after treatment,and changes of peripheral blood follicle-simulating hormone(FSH),anti-Müllerian hormone(AMH),anal follicle count(AFC)and interleukin(IL)-4,IL-6 before and after treatment were compared.Results The effective rate of TCM treatment group was higher than that of Western medicine treatment group,the difference was statistically significant(P<0.05).The TCM syndrome scores after treatment were lower than before treatment,and TCM treatment group was lower than Western medicine treatment group,the difference was statistically significant(P<0.05).After treatment,FSH levels in two groups were lower than before treatment,AMH and AFC levels were higher than before treatment,and improvement of hormone levels,AMH and AFC in TCM treatment group was better than that in Western medicine treatment group,with statistical significance(P<0.05).After treatment,the anti-inflammatory factors IL-4 were increased,and the pro-inflammatory factors IL-6 were decreased,and the increase effect of anti-inflammatory factors and the decrease effect of pro-inflammatory factors in TCM treatment group were better than those in Western medicine treatment group with statistical significance(P<0.05).Conclusion Zishen Shujing decoction can improve the clinical symptoms,serum hormone levels of POF patients with kidney deficiency and liver depression,improve ovarian function,reduce immune inflammation,reduce oxidative stress,and effectively improve the quality of life of patients.

Objective To explore the difference in the regulating effect of electroacupuncture on serum insulin (Ins) and fat consumption between male and female simple obesity rat and the possible mechanism of its action.Methods A rat model of simple obesity was made by induction with sodium glutamate. The rats were randomized into model and electroacupuncture groups (male and female), 10 rats each. A normal group of 10 rats (male and female) was established as a control. Points Quchi, Zhongwan, Guanyuan, Housanli, Fenglong and Sanyinjiao were selected in the electroacupuncture group. Stimulation with a low frequency of 2 Hz was provided after needle insertion. The treatment was given once daily for 28 consecutive days. Serum Ins content, and greater omentum, pericardiac and perirenal fat weights were measured in the male and female groups of rats before and after electroacupuncture intervention. The comparisons were made.Results Serum Ins content, and greater omentum, pericardiac and perirenal fat weights were significantly lower in the electroacupuncture male and female groups of rats than in the model male and female groups of rats (P<0.01) and also in the electroacupuncture male group of rats than in the electroacupuncture female group of rats (P<0.05).Conclusions Electroacupuncture has different degrees of weight-reducing effect in both male and female obesity rats. The reducing effect on serum Ins content, and greater omentum, pericardiac and perirenal fat weights is better in male obesity rats.

Objective To study on glycogen assay,polymerae chain reaction,and cell culture for diagnostic value of chlamydia infection of vervical smeat.Methods 106 specimens were examined by using glycogen assay,PCR and cell culture.Results Compared with cell culture,the sensitivity and specifity of glycogen assay are 80.0％ and 95.8％ ,and the sensitivity and specifity of PCR are 90.0％ and 97.9％ ,respectively.Conclusion The glycogen assay possesses diagnostic value for chlamydia trachomatis infection of vervical smear.