1.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
2.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
3.Clinical Advantages of Traditional Chinese Medicine in Treatment of Childhood Simple Obesity: Insights from Expert Consensus
Qi ZHANG ; Yingke LIU ; Xiaoxiao ZHANG ; Guichen NI ; Heyin XIAO ; Junhong WANG ; Liqun WU ; Zhanfeng YAN ; Kundi WANG ; Jiajia CHEN ; Hong ZHENG ; Xinying GAO ; Liya WEI ; Qiang HE ; Qian ZHAO ; Huimin SU ; Zhaolan LIU ; Dafeng LONG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):238-245
Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance, while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine (TCM) has a long history in the prevention and management of this condition, demonstrating eight distinct advantages, including systematic theoretical foundation, diversified therapeutic approaches, definite therapeutic efficacy, high safety profile, good patient compliance, comprehensive intervention strategies, emphasis on prevention, and stepwise treatment protocols. Additionally, TCM is characterized by six distinctive features: the use of natural medicinal substances, non-invasive external therapies, integration of medicinal dietetics, simple exercise regimens, precise syndrome differentiation, and diverse dosage forms. By combining internal and external treatments, TCM facilitates individualized regimen adjustment and holistic regulation, demonstrating remarkable effects in improving obesity-related metabolic indicators, regulating constitutional imbalance, and promoting healthy behaviors. However, challenges remain, such as inconsistent operational standards, insufficient high-quality clinical evidence, and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment, conducting multicenter randomized controlled trials, and fostering interdisciplinary integration, so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.
4.Role and mechanism of T helper 17 cells/regulatory T cells immune balance regulated by the TGF-β1/Smad signaling pathway mediated in nonalcoholic steatohepatitis
Qian WANG ; Kaiyang LI ; Mei YANG ; Hang ZHANG ; Shengjin ZHU ; Qi ZHAO ; Jing HUANG
Journal of Clinical Hepatology 2025;41(5):942-947
Nonalcoholic steatohepatitis (NASH) is a chronic metabolic disease characterized by hepatocyte fatty degeneration and ballooning degeneration, and it plays an important role in the progression of hepatic steatosis. Recent studies have shown that immune homeostasis imbalance between T helper 17 (Th17) and regulatory T (Treg) cells are closely associated with the pathological process of NASH. Transforming growth factor-β1 (TGF-β1) is a key cytokine for regulating the differentiation and proliferation of Th17/Treg cells, and TGF-β1 binds to its receptor and activates the Smad signaling pathway, thereby regulating the immune balance of Th17/Treg cells and the expression of inflammatory factors and participating in the repair of liver inflammation. This article systematically reviews the molecular mechanism of the TGF-β1/Smad signaling pathway in affecting NASH by regulating the immune balance of Th17/Treg cells, in order to provide a theoretical basis for the research on the pathogenesis of NASH and related treatment strategies.
5.YAN Huimin's Experience in Staged Treatment of Pediatric IgA Vasculitis
Tianxiang LIU ; Qian ZHAO ; Jing HAO ; Mengtong WANG ; Jiayi LIU ;
Journal of Traditional Chinese Medicine 2025;66(12):1212-1216
This paper summarizes Professor YAN Huimin's clinical experience in the staged treatment of pediatric IgA vasculitis. It is believed that the pathogenesis in the acute stage is characterized by fire and heat entering the blood and damaging the collaterals, and the treatment should focus on clearing heat and stopping bleeding, using the self-formulated Qingzi Liangxue Formulation (青紫凉血方). In the remission stage, the pathogenesis is qi rebellion leading to blood extravasation. The treatment principle is to regulate qi and stabilize blood, using the self-formulated Heqi Ningxue Formulation (和气宁血方). During the protracted stage, the pathogenesis is latent pathogenic factors due to yin deficiency, and the treatment should aim to nourish the collaterals and strengthen the root, with the self-formulated Yangluo Guben Formulation (养络固本方). Meanwhile, the method of promoting blood stasis resolution is consistently applied throughout the entire treatment process.
6.Two new coumarin compounds from Angelica biserrata
Jia-cheng WU ; Han-tao ZHAO ; Feng-die YAN ; Qian-feng CHEN
Acta Pharmaceutica Sinica 2025;60(1):201-204
Two new coumarin glycosides were isolated and purified from the dichloromethane fraction of
7.Construction of evaluation index system of infectious disease prevention and control ability in colleges and universities
Chinese Journal of School Health 2025;46(3):438-442
Objective:
To construct a scientific and perfect evaluation index system of infectious disease prevention and control ability in colleges and universities, so as to provide reference tools for colleges and universities to effectively respond to infectious disease.
Methods:
The initial framework of the evaluation index system of infectious disease prevention and control ability in colleges and universities was constructed by using literature analysis method. Experts familiar with infectious disease prevention and control or school health work were selected to conduct two rounds( n =16,18) of Delphi expert consultation for determining the evaluation index system. Analytical hierarchy process was used to calculate the index weights and combined weights. About 198 prevention and control personnel were conveniently selected from 3 universities in Inner Mongolia Autonomous Region to comprehensively evaluate the evaluation indicators by using fuzzy comprehensive evaluation method.
Results:
After two rounds of Delphi consultation questionnaire, the effective recovery rates were 80.0% and 90.0%, the expert authority levels were 0.89 and 0.86, the expert harmony coefficients for Kendall W were 0.166 and 0.310, and the variation coefficient of each index was <0.25. Finally, the evaluation index system of infectious disease prevention and control ability of colleges and universities included 4 first level indicators, 14 second level indicators and 75 third level indicators. The weights of prevention and monitoring and early warning, organizational system guarantee, emergency management, rehabilitation and summary were 0.176, 0.476, 0.268 and 0.080, respectively. The top 3 weights of the secondary indexes were 0.623 for infectious disease surveillance and early warning, 0.595 for loss assessment and 0.370 for emergency response. The score of fuzzy comprehensive evaluation of the index system of infectious disease prevention and control ability in colleges and universities was 79.148, suggesting a high level.
Conclusion
The established evaluation index system of infectious disease prevention and control ability in colleges and universities is scientific and reasonable, which is conducive to provide tool reference for the evaluation of infectious disease prevention and control ability in colleges and universities.
8.Mechanism of Traditional Chinese Medicine Against Gouty Arthritis via Regulating Nrf2 Signaling Pathway: A Review
Siyi CHEN ; Shumin HUANG ; Yushan ZHAO ; Jiajin LIN ; Qian SHI ; Yefeng CHEN ; Yize ZHANG ; Zhongwen ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):323-330
Gouty arthritis (GA) is an inflammatory disorder caused by monosodium urate (MSU) crystal deposition, accompanied by elevated oxidative stress and aberrant release of inflammatory cytokines, resulting in joint tissue damage and intense pain. Nuclear factor E2-related factor 2 (Nrf2), a key transcription factor regulating the antioxidant defence system, exerts cytoprotective effects through dissociation from Kelch-like ECH-associated protein 1 (Keap1) and activates downstream antioxidant response element (ARE)-mediated pathways. It can upregulate the expression of heme oxygenase-1 (HO-1), NADH quinone oxidoreductase 1 (NQO1), superoxide dismutase (SOD), and glutathione transferase (GST) to preserve redox homeostasis. Moreover, Nrf2 can suppress activation of NOD-like receptor protein 3 (NLRP3) inflammasomes, reduce pro-inflammatory cytokine production and release, modulate nuclear factor-κB (NF-κB) transcriptional activity, regulate gut microbiota balance, enhance mitophagy, and inhibit apoptosis, so as to reduce joint inflammation and pain and promote body recovery. This review systematically examined recent advancements in traditional Chinese medicine (TCM) for GA prevention and treatment via regulating the Nrf2 signaling pathway. It delineated Nrf2's molecular mechanisms and its role in GA pathogenesis and elucidated how TCM intervenes in multiple pathways including Keap1/Nrf2/ARE, Nrf2/HO-1(NQO1), and Nrf2/NF-κB/NLRP3 to exert therapeutic effects. The study demonstrated that TCM monomers and compounds effectively counteract oxidative damage, attenuate inflammatory responses, promote autophagy, and inhibit apoptosis via regulating the Nrf2 signaling pathway. These findings not only clarify the scientific basis of TCM in GA treatment but also offer strategic insights for developing novel Nrf2-targeted anti-gout drugs.
9.Mass Spectrometry-based Cell Imaging
Peng ZHOU ; Xin WANG ; Qian LUO ; Chao ZHAO
Progress in Biochemistry and Biophysics 2025;52(4):858-868
Cell models can simulate a variety of life states and disease developments, including single cells, two-dimensional (2D) cell cultures, three-dimensional (3D) multicellular spheroids, and organoids. They are essential tools for addressing complex biochemical questions. With continuous advancements in biological and cellular analysis technologies, in vitro cellular models designed to answer scientific questions have evolved rapidly. Early in vitro models primarily relied on 2D systems, which failed to accurately replicate the complex cellular compositions and microenvironmental interactions observed in vivo, let alone support sophisticated investigations into cellular biological functions. Subsequent improvements in cell culture techniques led to the development of 3D culture-based models, such as cellular spheroids. The advent of pluripotent stem cell technology further advanced the development of organoid systems, which closely mimic human organ development. Compared to traditional 2D models, both 3D cellular models and organoids offer significant advantages, including personalization and enhanced physiological relevance, making them particularly suitable for exploring molecular mechanisms of disease progression, discovering novel cellular and biomolecular functions, and conducting related studies. The imaging analysis of common cellular models primarily employs labeling-based methods for in situ imaging of targeted genes, proteins, and small-molecule metabolites, enabling further research on cell types, states, metabolism, and drug efficacy. However, these approaches have drawbacks such as poor labeling specificity and complex experimental procedures. By using cells as experimental models, mass spectrometry technology combined with morphological analysis can reveal quantitative changes and spatial distributions of various biological substances at the spatiotemporal level, including metabolites, proteins, lipids, peptides, drugs, environmental pollutants, and metals. This allows for the investigation of cell-cell interactions, tumor microenvironments, and cellular bioinformational heterogeneity. The application of these cutting-edge imaging technologies generates vast amounts of cellular data, necessitating the development of rapid, efficient, and highly accurate image data algorithms for precise segmentation and identification of single cells, multi-organelle structures, rare cell subpopulations, and complex cellular morphologies. A critical focus lies in creating deep learning models and algorithms that enhance the accuracy of cellular visualization. At the same time, establishing more robust data integration tools is essential not only for analyzing and interpreting outputs but also for effectively uncovering the biological significance of spatially resolved mass spectrometry data. Developing a cell imaging platform with high versatility, operational stability, and specificity to enable data interoperability will significantly enhance its utility in clinical research, thereby advancing investigations into disease molecular mechanisms and supporting precision diagnostics and therapeutics. In contrast to genomic, transcriptomic, and proteomic information, the metabolome can rapidly respond to external stimuli and cellular physiological changes within a short timeframe. This rapid and precise reflection of ongoing cellular state alterations has positioned spatial metabolomics as a pivotal approach for exploring the molecular mechanisms underlying physiological and pathological processes in cells, tissues, and organisms. In this review, we summarize research on cell imaging based on mass spectrometry technologies, including the selection and preparation of cell models, morphological analysis of cell models, spatial omics techniques based on mass spectrometry, mass cytometry, and their applications. We also discuss the current challenges and propose future directions for development in this field.
10.The characteristics and mechanism of dynamic changes of different components in microenvironment in regulating the progression of liver fibrosis
Huilan ZHAO ; Zongxu LIU ; Shumin LI ; Zhifeng WANG ; Minghui LIU ; Qian SHENG ; Kunbin KE ; Xinan SHI
Journal of Clinical Hepatology 2025;41(4):755-760
The liver has diverse functions such as metabolism, detoxification, and immune defense, and the maintenance of hepatic microenvironment homeostasis is crucial for overall bodily health. The hepatic microenvironment consists of the components such as parenchymal cells, non-parenchymal cells, and non-cellular components. Chronic inflammatory responses induced by various etiological factors may promote the formation and progression of liver fibrosis. During the dynamic progression of liver fibrosis, from the early to advanced stages, various components within the hepatic microenvironment undergo a series of changes, which can promote the malignant progression of liver fibrosis. An in-depth exploration of the mechanisms underlying such changes in each component of the liver fibrosis microenvironment is of great significance for understanding the pathogenesis of liver fibrosis and discovering potential treatment strategies.


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