1.Ancient and Modern Documentation of Classic Formula Sangjuyin
Xiaofang WANG ; Lyuyuan LIANG ; Jialei CAO ; Ziming XU ; Wangju ZHOU ; Yiping WANG ; Yujie CHANG ; Ruiting SU ; Yihan LI ; Jingwen LI ; Bingqi WEI ; Bingxiang MA ; Wenli SHI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):200-207
Sangjuyin, as a pungent and cooling agent with precise therapeutic effect, is a classic pungent formula for cooling relief of the epidermis, which is highly respected by medical practitioners. This formula is from the Wenbing Tiaobian written by WU Jutong in the Qing dynasty, on the basis of which subsequent medical practitioners have made additions and subtractions to apply it. The authors used the bibliometric method to systematically organize the medical books from the Qing dynasty and the Republic of China and modern literature to analyze the composition, concoction, decoction, efficacy, and previous and modern application of Sangjuyin. After examination, the drug base of this formula is basically clear. Armeniacae Semen Amarum is the dried mature seeds of Armeniaca vulgaris, family Rosaceae. Forsythiae Fructus is the dried fruit of Forsythia suspensa, family Mulleinaceae. Menthae Haplocalycis Herba is the dried above-ground part of Mentha haplocalyx, family Labiatae. Mori Folium is the dried leaves of Morus alba, family Moraceae. Chrysanthemi Flos is the dried head of Chrysanthemum morifolium, family Asteraceae. Platycodonis Radix is the dried root of Eryngium grandiflorum, family Eryngium. Glycyrrhizae Radix et Rhizoma is the dried root and rhizome of Glycyrrhiza uralensis of the Leguminosae family, and Phragmitis Rhizoma is the fresh or dried rhizome of Phragmites communis of the Gramineae family. It is recommended that the eight drugs be used in raw form as medicine. The dosage and method of decoction were converted into a modern single dosage of 7.46 g Armeniacae Semen Amarum, 5.60 g Forsythiae Fructus, 2.98 g Menthae Haplocalycis Herba, 9.33 g Mori Folium, 3.73 g Chrysanthemi Flos, 7.46 g Platycodonis Radix, 2.98 g Glycyrrhizae Radix et Rhizoma, and 11.19 g Phragmitis Rhizoma, with 400 mL water added, and the solution was boiled to obtain 200 mL, taken twice a day. Sangjuyin has the efficacy of dispersing wind and clearing heat, promoting lung and relieving cough, and it is used for treating the initial onset of wind-warmth and the evidence of evil spirits in the lungs and collaterals. Modern research has shown that Sangjuyin is often used in the treatment of cough, pneumonia, rhinitis, and other respiratory diseases, and the results of this study provide a reference for the later development of Sangjuyin.
2.Ameliorating Effect of Yifei Tongluo Prescription on Bleomycin-induced Pulmonary Fibrosis in Rats via Regulating NLRP3/Caspase-1/GSDMD Signaling Pathway and Epithelial-mesenchymal Transition
Bowen ZHOU ; Zefeng LI ; Xian MA ; Xuannian LI ; Jingwen WANG ; Fei XU ; Huaman LIU ; Xinhua JIA
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):150-159
ObjectiveTo observe the effects of Yifei Tongluo prescription on the NOD-like receptor protein 3 (NLRP3)/Caspase-1/gasdermin D (GSDMD) pathway and epithelial-mesenchymal transition (EMT) in rats with pulmonary fibrosis. MethodsTracheal instillation of bleomycin was conducted to establish a rat model of pulmonary fibrosis. Thirty Sprague-Dawley (SD) rats were randomly divided into a blank group, a model group, a prednisone acetate group (1.17 mg·kg-1), and low- and high-dose Yifei Tongluo prescription groups (10.62 and 21.24 g·kg-1, respectively). Administration started on the 7th day after modeling, once a day for 28 consecutive days. The lung coefficient of each group was calculated. The pathological changes of lung tissues in each group were observed by hematoxylin-eosin (HE) staining and Masson staining. The expression of α-smooth muscle actin (α-SMA) and vimentin in rat lung tissues was detected by immunohistochemistry. The expression of NLRP3 inflammasome, E-cadherin (E-cad), and typeⅠ collagen (ColⅠ) in lung tissues was detected by immunofluorescence. The content of hydroxyproline (HYP), tumor necrosis factor (TNF)-α, interleukin (IL)-18, and IL-1β in rat serum was detected by enzyme-linked immunosorbent assay (ELISA). The mRNA expression levels of NLRP3, apoptosis-associated speck-like protein containing a CARD (ASC), IL-1β, and transforming growth factor (TGF)-β1 in rat lung tissues were determined by real-time quantitative polymerase chain reaction (Real-time PCR). The protein expression levels of NLRP3, GSDMD, ASC, and Caspase-1 in rat lung tissues were determined by Western blot. ResultsCompared with the blank group, the model group exhibited a significantly increased lung coefficient (P<0.01) and significantly increased range of pulmonary interstitial inflammation and collagen deposition. In addition, the levels of α-SMA, Vimentin, E-cad, and ColⅠ in lung tissues were significantly increased (P<0.01). The levels of fibrosis- and inflammation-related factors HYP, TNF-α, IL-18, and IL-1β in serum were significantly upregulated (P<0.01). The levels of factors related to the activation of NLRP3 inflammasome in lung tissues, including NLRP3, GSDMD, ASC, Caspase-1, IL-1β, and TGF-β1, were significantly upregulated (P<0.01). Compared with the model group, the Yifei Tongluo prescription groups showed improved lung coefficients. Additionally, the extent of lung inflammation and collagen deposition was significantly reduced. The expression of α-SMA, Vimentin, E-cad, and ColⅠ in lung tissue was significantly decreased (P<0.01). The levels of HYP, TNF-α, IL-18, and IL-1β in serum were significantly reduced (P<0.01). The expression levels of NLRP3, GSDMD, ASC, Caspase-1, IL-1β, and TGF-β1 in lung tissue were also significantly decreased (P<0.01). ConclusionYifei Tongluo prescription can regulate the NLRP3/Caspase-1/GSDMD pathway, down-regulate release of pro-inflammatory and pro-fibrotic cytokines, alleviate NLRP3 inflammasome-mediated pyroptosis and EMT, and thereby improve pulmonary fibrosis in rats.
3.Artificial intelligence-based quality control of hand hygiene for hospital-acquired infection
Xuchen YANG ; Jingwen LI ; Wan ZHANG ; Shasha FENG ; Min ZENG ; Jianan SHI ; Youqiong CHEN ; Tao ZHENG ; Xun YAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(02):241-247
Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.
4.Diagnosis of an Outbreak of Canine Distemper in Cynomolgus Monkeys in an Experimental Monkey Farm in 2019
Chenjuan WANG ; Lingyan YANG ; Lipeng WANG ; Xueping SUN ; Jingwen LI ; Lianxiang GUO ; Rong RONG ; Changjun SHI
Laboratory Animal and Comparative Medicine 2025;45(3):360-367
Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.
5.Diagnosis of an Outbreak of Canine Distemper in Cynomolgus Monkeys in an Experimental Monkey Farm in 2019
Chenjuan WANG ; Lingyan YANG ; Lipeng WANG ; Xueping SUN ; Jingwen LI ; Lianxiang GUO ; Rong RONG ; Changjun SHI
Laboratory Animal and Comparative Medicine 2025;45(3):360-367
Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.
6.Analysis of the nonlinear relationship between hypothermic machine perfusion parameters and delayed graft function and construction of an optimized predictive model based on sampling algorithms
Boqing DONG ; Chongfeng WANG ; Yuting ZHAO ; Huanjing BI ; Ying WANG ; Jingwen WANG ; Zuhan CHEN ; Ruiyang MA ; Wujun XUE ; Yang LI ; Xiaoming DING
Organ Transplantation 2025;16(4):582-590
Objective To analyze the nonlinear relationship between hypothermic machine perfusion (HMP) parameters and delayed graft function (DGF) and optimize the construction of a predictive model for DGF. Methods The data of 923 recipients who underwent kidney transplantation from deceased donors were retrospectively analyzed. According to the occurrence of DGF, the recipients were divided into DGF group (n=823) and non-DGF group (n=100). Donor data, HMP parameters and recipient data were analyzed for both groups. The nonlinear relationship between HMP parameters and the occurrence of DGF was explored based on restricted cubic splines (RCS). Over-sampling, under-sampling and balanced sampling were used to address the imbalance in the proportion of DGF to construct logistic regression predictive models. The area under the curve (AUC) of each model was compared in the validation set, and a nomogram model was constructed. Results Donor BMI, cold ischemia time of the donor kidney, and HMP parameters (initial and final pressures, resistance, and perfusion time) were significantly different between the DGF and non-DGF groups (all P<0.05). The RCS analysis revealed a threshold-like nonlinear relationship between HMP parameters and the risk of DGF. Among the models constructed using different sampling methods, the balanced sampling model had the highest AUC. Using this model, a nomogram was constructed to stratify recipients based on risk scores. Recipients in the high-risk group had higher serum creatinine levels at 1, 6, and 12 months after kidney transplantation compared to those in the low-risk group (all P<0.05). Conclusions There is a nonlinear relationship between HMP parameters and the risk of DGF, and the threshold is helpful for organ quality assessment and monitoring of graft function after transplantation. The predictive model for DGF constructed on the base of balanced sampling algorithms helps perioperative decision-making and postoperative graft function monitoring of kidney transplantation.
7.Key Information Research and Ancient and Modern Application Analysis of Classic Prescription Houpo Sanwutang
Wenli SHI ; Qing TANG ; Huimin CHEN ; Jialei CAO ; Bingqi WEI ; Lan LIU ; Keke LIU ; Yun ZHANG ; Yujie CHANG ; Yihan LI ; Jingwen LI ; Bingxiang MA ; Lvyuan LIANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(20):214-221
Houpo Sanwutang, included in the Catalogue of Ancient Classical Prescriptions (Second Batch), was first recorded in the Synopsis of Golden Chamber written by ZHANG Zhongjing from the Eastern Han dynasty and was modified by successive generations of medical experts. A total of 37 pieces of effective data involving 37 ancient Chinese medical books were retrieved from different databases. Through literature mining, statistical analysis, and data processing, combined with modern articles, this study employed bibliometrics to investigate the historical origin, composition, decoction methods, clinical application, and other key information. The results showed that the medicinal origin of Houpo Sanwutang was clearly documented in classic books. Based on the conversion of the measurements from the Han Dynasty, it is recommended that 110.4 g Magnolia Officinalis Cortex, 55.2 g Rhei Radix et Rhizoma, and 72 g Aurantii Fructus Immaturus should be taken. Magnolia Officinalis Cortex and Aurantii Fructus Immaturus should be decocted with 2 400 mL water first, and 1 000 mL should be taken from the decocted liquid. Following this, Rhei Radix et Rhizoma should be added for further decoction, and then 600 mL should be taken from the decocted liquid. A single dose of administration is 200 mL, and the medication can be stopped when patients restore smooth bowel movement. Houpo Sanwutang has the effect of moving Qi, relieving stuffiness and fullness, removing food stagnation, and regulating bowels. It can be used in treating abdominal distending pain, guarding, constipation, and other diseases with the pathogenesis of stagnated heat and stagnated Qi in the stomach. The above results provide reference for the future development and research of Houpo Sanwutang.
8.EZH2 protein expression in predicting malignant transformation of oral leukoplakia: a prospective cohort study
MEI Nianrou ; LIU Limin ; YANG Jingwen ; XU Siming ; LI Chenxi ; GE Shuyun ; ZHOU Haiwen
Journal of Prevention and Treatment for Stomatological Diseases 2025;33(10):862-872
Objective:
To investigate the predictive value of EZH2 expression for malignant transformation in oral leukoplakia (OLK) and to provide a reference for clinical practice.
Methods:
This study was approved by the institutional ethics committee, and informed consent was obtained from all participants. A total of 114 patients diagnosed with OLK by pathological examination and treated at our hospital between November 2020 and July 2022 were initially enrolled. After excluding those with incomplete data or follow-up, 105 participants were included in the final analysis, comprising 14 in the high EZH2 expression group and 91 in the low EZH2 expression group. Histopathological examination of oral mucosa and immunohistochemical detection of EZH2 protein expression were performed. The follow-up period was 30 months; participants were followed until malignant transformation occurred or until the end of follow-up, at which point they were withdrawn from the study. The exposure factor was the level of EZH2 protein expression, and the outcome was the malignant transformation rate of OLK. Differences in EZH2 expression levels and transformation outcomes were analyzed.
Results:
There were no statistically significant differences between the high and low EZH2 expression groups in terms of age, sex, history of systemic disease, lifestyle habits, psychological status, diet, and sleep conditions (P > 0.05). Lesions in the high EZH2 expression group were mainly located on the ventral tongue, while in the low EZH2 expression group, they were more commonly found on the dorsal tongue and buccal mucosa. The malignant transformation rate was 28.6% (4/14) in the high expression group and 8.8% (8/91) in the low expression group; these differences were not statistically significant (P=0.053). In univariate Cox regression analysis, the risk of malignant transformation in the high EZH2 expression group was 3.647 times that of the low EZH2 expression group (HR = 3.647, 95% CI: 1.097-12.120, P<0.05). Kaplan-Meier survival analysis showed that over the 30-month follow-up period, the cancer-free survival rate in the high EZH2 expression group was 19.8% lower than in the low expression group, and the difference was statistically significant (P<0.05). In multivariate Cox regression analysis, only moderate and severe epithelial dysplasia were identified as independent risk factors for malignant transformation. The risk of malignant transformation in the moderate and severe dysplasia groups was 10.695 and 13.623 times higher, respectively, than in the mild dysplasia group (HR = 10.695, 95% CI: 2.270-50.396, P<0.05; HR=13.623, 95% CI: 1.918-96.774, P<0.05). EZH2 high expression was not an independent risk factor in the multivariate model (HR= 2.528, 95% CI: 0.752-8.500, P = 0.134).
Conclusion
High EZH2 protein expression is a risk factor for the malignant transformation of OLK but does not have independent predictive value.
9.Induction of apoptosis in hepatocellular carcinoma cells by polyphyllin 9 through regulating the Fas/FasL sig-naling pathway and the inhibitory effect on the growth of transplanted tumor in nude mice
Minna YAO ; Wei ZHANG ; Kai GAO ; Ruili LI ; Ying YIN ; Chao GUO ; Yunyang LU ; Haifeng TANG ; Jingwen WANG
China Pharmacy 2025;36(18):2238-2243
OBJECTIVE To investigate the induction of apoptosis in hepatocellular carcinoma cells by polyphyllin 9 (PP9) through the regulation of the Fas/Fas ligand (FasL) signaling pathway, and its inhibitory effect on the growth of transplanted tumor in nude mice. METHODS Based on the screening of cell lines and intervention conditions, HepG2 cells were selected as the experimental subject to investigate the effects of 2 μmol/L and 4 μmol/L PP9 treatment on cell colony formation activity, apoptosis rate, as well as the protein expressions of Fas, FasL, cleaved caspase-8 and cleaved caspase-3. Additionally, Fas inhibitor KR- 33493 was introduced to investigate the underlying mechanism of PP9’s anti-hepatocellular carcinoma activity. Using HepG2 cell tumor-bearing nude mice model as the object, and 5-fluorouracil (20 mg/kg) as the positive control, the effects of 10 mg/kg PP9 on tumor volume, tumor mass, and the protein expressions of the nuclear proliferation-associated antigen Ki-67 and cleaved caspase-3 in tumor-bearing nude mice were investigated. RESULTS Compared with the control group, 2, 4 μmol/L PP9 significantly decreased the number of clones and the clone formation rate of cells, but significantly increased the apoptosis rate, the protein expressions of Fas, FasL, cleaved caspase-8 and cleaved caspase-3 (P<0.05 or P<0.01). However, the combination of Fas inhibitor KR-33493 could significantly reverse the effect of PP9 on the up-regulation of proteins related to the Fas/FasL signaling pathway (P<0.01). Compared with the control group, the tumor volume (on day 27), mass and protein expression of Ki- 67 in nude mice of the PP9 group were significantly decreased, while the protein expression of cleaved caspase-3 was significantly increased (P<0.01). CONCLUSIONS PP9 can induce apoptosis of HepG2 cells by activating the Fas/FasL signaling pathway. Meanwhile, PP9 can also effectively inhibit the growth of transplanted tumors in nude mice.
10.Meteorological factor-driven prediction of high-use days of budesonide: construction and comparison of ensemble learning models
Qitao CHEN ; Yue ZHOU ; Xiaojun ZHANG ; Jingwen NI ; Guoqiang SUN ; Fenfei GAO ; Lizhen XIA ; Zihao LI
China Pharmacy 2025;36(21):2723-2726
OBJECTIVE To construct ensemble learning models for predicting high-use days of budesonide based on meteorological factors, thereby providing reference for hospital pharmacy management. METHODS Meteorological data for 2024 and outpatient budesonide usage data from the jurisdiction of Sanming Hospital of Integrated Traditional Chinese and Western Medicine were collected. High-use days were defined as the 75th percentile of outpatient budesonide usage, and a corresponding dataset was established. The prediction task was formulated as a classification problem, and three ensemble learning models were developed: Random Forest, Extreme Gradient Boosting (XGBoost), and Histogram-based Gradient Boosting Classifier. Model performance was evaluated using accuracy, precision, recall, F1-score, and log-loss. Model interpretability was analyzed using Shapley Additive Explanations (SHAP). RESULTS The Histogram-based Gradient Boosting Classifier achieved the best performance (accuracy=0.75, F1-score=0.48), followed by XGBoost (accuracy=0.74, F1-score=0.43) and Random Forest (accuracy=0.72, F1-score=0.22). SHAP results suggested that the prediction results of the last two models have the highest correction. CONCLUSIONS Ensemble learning models can effectively predict high-use days of budesonide, with the Histogram- based Gradient Boosting Classifier demonstrating the best predictive performance. Low temperature, high humidity, and low atmospheric pressure show significant positive impacts on the prediction of daily budesonide usage.


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