1.Effects of Yishen paidu formula on renal fibrosis in rats with chronic renal failure by regulating the ROS/TXNIP/NLRP3 pathway
Li FENG ; Bowen PENG ; Bin PENG ; Xue FENG ; Shuangyi ZHU ; Wei XIONG ; Xi HU ; Xiaohui SUN
China Pharmacy 2026;37(2):174-179
OBJECTIVE To investigate the effects and mechanism of the Yishen paidu formula on renal fibrosis in rats with chronic renal failure (CRF) through the reactive oxygen species (ROS)/thioredoxin-interacting protein (TXNIP)/NOD-like receptor thermal protein domain associated protein 3 (NLRP3) pathway. METHODS Rats were randomly divided into control group, model group, Yishen paidu formula low-dose (Yishen paidu formula-L) group, Yishen paidu formula high-dose (Yishen paidu formula- H) group, Yishen paidu formula-H+pcDNA-NC group, and Yishen paidu formula-H+ pcDNA-TXNIP group, with 10 rats in each group. Except for control group, all other rats were fed a diet containing 0.5% adenine to establish a CRF model; the rats were then administered corresponding drugs or normal saline intragastrically or via tail vein, once daily, for 8 consecutive weeks. After the last administration, the levels of serum creatinine (Scr), blood urea nitrogen (BUN), ROS, superoxide dismutase (SOD), malondialdehyde (MDA), tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-1β were measured in each group. Pathological changes in renal tissue were observed, and the protein expression levels of Collagen Ⅲ, α-smooth muscle actin (α-SMA), transforming growth factor-β1 (TGF-β1), TXNIP and NLRP3 in renal tissue were detected. RESULTS Compared with model group, the renal histopathological damage and fibrosis of rats in Yishen paidu formula-L group and Yishen paidu formula-H group were significantly alleviated. The levels of Scr, BUN, ROS, MDA, TNF- α, IL-6 and IL-1β, and the protein expressions of Collagen Ⅲ, α-SMA, TGF-β1, TXNIP and NLRP3 were significantly decreased, while SOD levels were significantly increased (P<0.05). Moreover, the changes were more pronounced in the Yishen paidu formula-H group (P<0.05). Compared with Yishen paidu formula-H+pcDNA-NC group, above indexes of rats in Yishen paidu formula-H+pcDNA-TXNIP group were reversed significantly (P<0.05). CONCLUSIONS Yishen paidu formula can inhibit renal fibrosis in CRF rats by suppressing the ROS/TXNIP/NLRP3 pathway.
2.Value of immunoglobulin G/immunoglobulin M ratio in predicting the prognosis of patients with initially unresectable hepatocellular carcinoma treated by transcatheter arterial chemoembolization combined with tyrosine kinase inhibitor and programmed cell death protein-1 inhibitor
Xingzhi LI ; Wei LUO ; Yuan FENG ; Yu CAI ; Xiaohong LIU ; Feixiang WU ; Yong PENG
Journal of Clinical Hepatology 2026;42(1):117-124
ObjectiveTo investigate the association between immunoglobulin G (IgG)/immunoglobulin M (IgM) ratio and prognosis in patients with initially unresectable hepatocellular carcinoma (iuHCC) receiving TTP triple therapy with transcatheter arterial chemoembolization (TACE), tyrosine kinase inhibitor (TKI), and programmed cell death protein-1 (PD-1) inhibitors. MethodsA retrospective analysis was performed for the clinical data of 151 iuHCC patients who received TTP triple therapy in Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, from November 2019 to December 2022, and according to IgG/IgM ratio, they were divided into high IgG/IgM group (IgG/IgM ratio >13.23) and low IgG/IgM group (IgG/IgM ratio ≤13.23). The t-test was used for comparison of continuous data between groups, and the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method and the log-rank test were used for survival analysis, and the Cox proportional hazards model was used to investigate the potential influencing factors for overall survival (OS). ResultsThe 151 patients had a median OS of 26.7 months (95% confidence interval [CI]: 19.8-not reached) and a median progression-free survival of 12.5 months (95%CI: 10.4 — 15.8). The objective response rate was 83.4% and the disease control rate was 94.0%. There were no significant differences in baseline data between the high IgG/IgM group and the low IgG/IgM group (all P>0.05). There was a significant difference in median OS between the high IgG/IgM group and the low IgG/IgM group (20.6 months vs not reached, P=0.016). In both the high IgG/IgM group and the low IgG/IgM group, salvage hepatectomy was significantly associated with the improvement in OS (χ2=8.297 and 10.307, both P<0.05). The multivariate analysis showed that high IgG/IgM ratio (hazard ratio [HR]=1.799, 95%CI: 1.077 — 3.006, P=0.025), baseline alpha-fetoprotein >400 ng/mL (HR=1.762, 95%CI: 1.017 — 3.050, P=0.043), and BCLC stage (HR=2.265, 95%CI: 1.212 — 4.232, P=0.010) were independent influencing factors for OS. ConclusionHigh IgG/IgM ratio is associated with a poorer prognosis in iuHCC patients receiving TTP triple therapy, and salvage hepatectomy has a potential value in improving the prognosis of patients with a high IgG/IGM ratio.
3.Research progress on the mechanisms and prevention of saphenous vein graft failure after coronary artery bypass grafting
Liaoming HE ; Tiemuerniyazi XIERAILI ; Yangwu SONG ; Wei FENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(03):475-483
The saphenous vein graft (SVG) remains the most commonly used conduit in coronary artery bypass grafting (CABG), yet its limited long-term patency adversely affects patient outcomes. SVG failure is a multistage pathological process, characterized by early thrombosis, intermediate intimal hyperplasia, and late atherosclerotic degeneration. These changes are driven by endothelial dysfunction induced by ischemia-reperfusion and mechanical injury, smooth muscle cell phenotypic modulation, inflammatory activation, and conventional cardiovascular risk factors. Preventive strategies for SVG failure have increasingly focused on both surgical and pharmacological optimization. Surgical approaches include appropriate target vessel and anastomotic site selection, refinement of SVG harvesting techniques (notably the no-touch technique and endoscopic vein harvesting), optimization of graft configurations, and routine intraoperative graft flow assessment. Postoperative secondary prevention is essential, as antithrombotic and lipid-lowering therapies have been shown to reduce SVG occlusion. In addition, emerging therapies, including gene-based interventions, antiproliferative agents, novel graft preservation solutions, and external vein graft supports, show promise in improving SVG durability. Integrated multimodal strategies may further reduce SVG failure and improve long-term outcomes after CABG. This article provides a review of researches related to SVG failure, including the mechanisms of failure, intraoperative preventive measures, pharmacological prevention, and recent advances in treatment, aiming to offer insights for clinical diagnosis, treatment and future studies.
4.Severe COVID-19 and inactivated vaccine in diabetic patients with SARS-CoV-2 infection.
Yaling YANG ; Feng WEI ; Duoduo QU ; Xinyue XU ; Chenwei WU ; Lihua ZHOU ; Jia LIU ; Qin ZHU ; Chunhong WANG ; Weili YAN ; Xiaolong ZHAO
Chinese Medical Journal 2025;138(10):1257-1259
5.Novel autosomal dominant syndromic hearing loss caused by COL4A2 -related basement membrane dysfunction of cochlear capillaries and microcirculation disturbance.
Jinyuan YANG ; Ying MA ; Xue GAO ; Shiwei QIU ; Xiaoge LI ; Weihao ZHAO ; Yijin CHEN ; Guojie DONG ; Rongfeng LIN ; Gege WEI ; Huiyi NIE ; Haifeng FENG ; Xiaoning GU ; Bo GAO ; Pu DAI ; Yongyi YUAN
Chinese Medical Journal 2025;138(15):1888-1890
6.Development and validation of a prediction score for subtype diagnosis of primary aldosteronism.
Ping LIU ; Wei ZHANG ; Jiao WANG ; Hongfei JI ; Haibin WANG ; Lin ZHAO ; Jinbo HU ; Hang SHEN ; Yi LI ; Chunhua SONG ; Feng GUO ; Xiaojun MA ; Qingzhu WANG ; Zhankui JIA ; Xuepei ZHANG ; Mingwei SHAO ; Yi SONG ; Xunjie FAN ; Yuanyuan LUO ; Fangyi WEI ; Xiaotong WANG ; Yanyan ZHAO ; Guijun QIN
Chinese Medical Journal 2025;138(23):3206-3208
7.The historical evolution of Chinese physiology textbooks.
Yan FENG ; Xiao ZHAI ; Xin WANG ; Feng YANG ; Liang ZHU ; Guo-Chao SUN ; Ning WANG ; Jun ZHANG ; Jing XIAO ; Wei-Wei LIU ; You-Fei GUAN
Acta Physiologica Sinica 2025;77(1):1-12
This article systematically reviews the characteristics and trends of the writing, editing, publication and promotion of physiology textbooks in China from the late 19th century to the present, focusing on the introduction, development and innovation of Chinese physiology textbooks. The development of physiology textbooks in China is divided into four main stages: the introduction and initial development of physiology textbooks from the late 19th century to 1925; the localization and diversification of textbooks from 1926 to 1949, after the establishment of the Chinese Physiological Society; the exploratory phase of textbook construction after the founding of the People's Republic of China from 1949 to 1976; the formation and innovation of the textbook development process from 1977 to the present, following the restoration of the college entrance examination. For each phase, the article not only records the historical development of physiology textbooks, but also analyzes the evolution of their content, writing styles and the interaction with the social and political contexts. The article summarizes the characteristics and experiences of all these four phases. Special attention is given to the comprehensive statistical analysis of physiology textbooks published since the restoration of the college entrance examination and Economic Reform and Opening-up in 1977, revealing the changes in the number, publication trends and academic features of textbooks during this period. Finally, the article presets the future development of physiology textbooks in China, proposing that textbook writing should integrate aspects such as ideological and political education, medical humanities, basic and clinical medicine, health education, scientific research and international exchange and collaboration. The article also advocates for the application of new technologies and methods, such as artificial intelligence, virtual teaching models and knowledge graphs, to support "personalized learning". This research provides a systematic reference for the study of the history of medical education and offers theoretical support for the future innovation of physiology textbook in China.
Humans
;
China
;
History, 19th Century
;
History, 20th Century
;
History, 21st Century
;
Physiology/education*
;
Textbooks as Topic/history*
8.Research progress on variety breeding of root- and rhizome-derived traditional Chinese medicine.
Yan CHEN ; Miao-Yin DONG ; Zhan-Feng CAO ; Xue-Zhou LIU ; Meng-Fei LI ; Jian-He WEI
China Journal of Chinese Materia Medica 2025;50(2):363-383
Germplasm degeneration occurs during the long-term cultivation of root-and rhizome-derived traditional Chinese medicine(RR-TCM), which seriously restricts the high-quality development of their industry. Therefore, it is urgent to solve the problem of germplasm degeneration through variety breeding. In this paper, based on previously published research articles, monographs, and news reports, the research progresses on the number and origins, breeding methods, and selection of new varieties of RR-TCM listed in the Chinese Pharmacopoeia(Edition 2020) were summarized and analyzed. The results show that there are 169 kinds of RR-TCM listed in the Chinese Pharmacopoeia(Edition 2020), originated from 223 origins with three breeding methods(i.e., seed propagation, vegetative reproduction, and tissue culture), and there are 215 species derived from seed propagation, 177 species derived from vegetative reproduction, and 164 species derived from tissue culture. To date, there are 62 origins breeding new varieties through conventional breeding, cross breeding, mutation breeding, ploidy breeding, or modern biotechnology breeding methods, including 57 origins breeding 145 new varieties through conventional breeding, 10 origins breeding 43 new varieties through mutation breeding, and seven origins breeding 12 new varieties through cross breeding method. They are used mainly to improve yield, disease resistance, and active ingredient content, but only a few new varieties have been widely used. This review will provide useful references in variety breeding, quality breeding, and standardized planting of RR-TCM.
Plant Breeding/methods*
;
Plant Roots/growth & development*
;
Rhizome/growth & development*
;
Drugs, Chinese Herbal
;
Plants, Medicinal/classification*
;
Medicine, Chinese Traditional
9.Identification of GSK3 family and regulatory effects of brassinolide on growth and development of Nardostachys jatamansi.
Yu-Yan LEI ; Zheng MA ; Jing WEI ; Wen-Bing LI ; Ying LI ; Zheng-Ming YANG ; Shao-Shan ZHANG ; Jing-Qiu FENG ; Hua-Chun SHENG ; Yuan LIU
China Journal of Chinese Materia Medica 2025;50(2):395-403
This study identified 8 members including NjBIN2 of the GSK3 family in Nardostachys jatamansi by bioinformatics analysis. Moreover, the phylogenetic tree revealed that the GKS3 family members of N. jatamansi had a close relationship with those of Arabidopsis. RT-qPCR results showed that NjBIN2 presented a tissue-specific expression pattern with the highest expression in roots, suggesting that NjBIN2 played a role in root growth and development. In addition, the application of epibrassinolide or the brassinosteroid(BR) synthesis inhibitor(brassinazole) altered the expression pattern of NjBIN2 and influenced the photomorphogenesis(cotyledon opening) and root development of N. jatamansi, which provided direct evidence about the functions of NjBIN2. In conclusion, this study highlights the roles of BIN2 in regulating the growth and development of N. jatamansi by analyzing the expression pattern and biological function of NjBIN2. It not only enriches the understanding about the regulatory mechanism of the growth and development of N. jatamansi but also provides a theoretical basis and potential gene targets for molecular breeding of N. jatamansi with improved quality in the future.
Brassinosteroids/metabolism*
;
Steroids, Heterocyclic/metabolism*
;
Gene Expression Regulation, Plant/drug effects*
;
Plant Proteins/metabolism*
;
Phylogeny
;
Nardostachys/metabolism*
;
Plant Growth Regulators/pharmacology*
;
Plant Roots/drug effects*
10.Risk prediction of Reduning Injection batches by near-infrared spectroscopy combined with multiple machine learning algorithms.
Wen-Yu JIA ; Feng TONG ; Heng-Xu LIU ; Shu-Qin JIN ; Yong-Chao ZHANG ; Chen-Feng ZHANG ; Zhen-Zhong WANG ; Xin ZHANG ; Wei XIAO
China Journal of Chinese Materia Medica 2025;50(2):430-438
In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods*
;
Drugs, Chinese Herbal/administration & dosage*
;
Machine Learning
;
Algorithms
;
Humans
;
Quality Control

Result Analysis
Print
Save
E-mail