1.Targeted Regulation of Inflammation-related Signaling Pathways by Traditional Chinese Medicine for Prevention and Treatment of Atherosclerosis: A Review
Shuang ZHAO ; Mingxue ZHANG ; Ning LIU ; Jianan SU ; Yuhan AO ; Jing LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):273-283
Atherosclerosis (AS) is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response, which runs through the physiological and pathological evolution process of AS, is one of the important mechanisms for AS occurrence. Currently, the treatment methods for AS in Western medicine are relatively mature. However, they have adverse reactions such as abnormal liver and kidney function, drug tolerance, target vessel restenosis, and stent thrombosis, which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine (TCM), characterized by multiple components, multiple targets, and multi-pathway synergy, shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways, such as nuclear factor-κB (NF-κB), Toll-like receptors (TLRs), mitogen-activated protein kinase (MAPK), and Janus kinase/signal transducer and activator of transcription (JAK/STAT), in the past five years. It summarized the combined mechanism of action of TCM monomers, TCM pairs, and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets, regulating lipid metabolism disorders, and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS, so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.
2.Targeted Regulation of Inflammation-related Signaling Pathways by Traditional Chinese Medicine for Prevention and Treatment of Atherosclerosis: A Review
Shuang ZHAO ; Mingxue ZHANG ; Ning LIU ; Jianan SU ; Yuhan AO ; Jing LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):273-283
Atherosclerosis (AS) is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response, which runs through the physiological and pathological evolution process of AS, is one of the important mechanisms for AS occurrence. Currently, the treatment methods for AS in Western medicine are relatively mature. However, they have adverse reactions such as abnormal liver and kidney function, drug tolerance, target vessel restenosis, and stent thrombosis, which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine (TCM), characterized by multiple components, multiple targets, and multi-pathway synergy, shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways, such as nuclear factor-κB (NF-κB), Toll-like receptors (TLRs), mitogen-activated protein kinase (MAPK), and Janus kinase/signal transducer and activator of transcription (JAK/STAT), in the past five years. It summarized the combined mechanism of action of TCM monomers, TCM pairs, and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets, regulating lipid metabolism disorders, and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS, so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.
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.The role of probiotics in ameliorating hyperuricemia: a review
ZOU Yan ; HUANG Enshan ; ZHAO Dong ; HUANG Lichun ; SU Danting ; ZHANG Ronghua
Journal of Preventive Medicine 2025;37(1):36-39
Abstract
Hyperuricemia (HUA) is a metabolic disorder syndrome caused by purine metabolism dysregulation, and its prevalence increases year by year. The development and progression of HUA are accompanied by significant alterations in the composition of intestinal microbiota, making probiotics a potential and safe method to reduce serum uric acid. Probiotics ameliorate HUA through three pathways: competing with intestinal epithelial cells for purine absorption to decrease uric acid synthesis, inhibiting xanthine oxidase activity through modulation of inflammatory cytokines to reduce the conversion of purine to uric acid, as well as restoring and maintaining an orderly state of the gut microbiota to facilitate normal uric acid excretion. This article reviews the role of probiotics in ameliorating HUA, so as to provide the reference for the application of probiotics in the prevention and intervention of HUA.
5.Source, Structure, Biological Activity and Application of Natural Arabinogalactan: A Review
Peng ZHAO ; Man ZHANG ; Dan MU ; Wenming BAI ; Rina SU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(5):353-362
Natural arabinogalactan, an important polysaccharide, has a wide range of sources, a complex structure, various biological activities, and great application potential. Natural arabinogalactan is mainly rich in plants and microorganisms, and its structure varies due to different sources, including types Ⅰ, type Ⅱ, type Ⅱ-related types, and new configurations. Natural arabinogalactan has shown a variety of biological activities, such as anti-tumor, anti-oxidation, anti-coagulation, anti-aging, blood glucose-lowering, intestinal health-maintaining, anti-inflammatory, and immunomodulatory activities. In addition, natural arabinogalactan shows good biocompatibility and low toxicity, serving as a potential material in the biomedical field. Natural arabinogalactan has been designed as a carrier in the drug delivery system to effectively improve drug stability and targeting. Natural arabinogalactan is often added to skin care products to help delay skin aging and enhance skin barrier function because of their moisturizing and antioxidant properties. Additionally, natural arabinogalactan acts as a thickener, stabilizer, and emulsifier to improve the texture and taste while enhancing the nutritional value of food products. The review of latest research reports is helpful to further understand the relationship between the structure, biological activity, and functional application of natural arabinogalactan and provides an important reference for future research and development.
7.The effects and mechanisms of silica on alveolar epithelial cell apoptosis
Yali LAN ; Wenyao SU ; Zhiming HU ; Ping WANG ; Bizhu ZHANG ; Na ZHAO
China Occupational Medicine 2025;52(1):10-16
Objective To investigate the effects and mechanisms of silica dust on the apoptosis of alveolar epithelial cell (AEC) through in vitro and animal experiments. Methods i) In vitro experiment. A549 cells were stimulated with 100 mg/L silica suspension for 0, 12, 24 and 48 hours. The cell apoptosis rate was detected by flow cytometry. ii) Animal experiment. Specific pathogen-free male C57BL/6 mice were randomly divided into control, 14-day, 28-day, and 56-day groups, with five mice in each group. The mice in the control group were sacrificed at 56 days after being treated with 40.0 μL 0.9% sodium chloride solution, and the mice in the last three groups were sacrificed at 14, 28 and 56 days after being treated with 40.0 μL silica suspension with a mass concentration of 125 g/L via tracheal exposure method. The lung tissues of mice were collected to measure lung organ coefficients. Masson staining was used to detect the degree of pulmonary fibrosis, and Ashcroft scores were evaluated. The apoptosis of AEC in mice was observed by TUNEL immunofluorescence assay. iii) The mRNA relative expression of apoptosis-related genes in A549 cells and mouse lung tissue was detected using reverse transcription and real-time fluorescence quantitative polymerase chain reaction. Results i) In vitro experiment. The apoptosis rate of A549 cells increased with longer silica exposure (all P<0.05). The relative expression of B cell lymphoma-2 (BCL-2) mRNA in A549 cells in 24 h group and 48 h group decreased (both P<0.05), and the relative expression of BCL-2 associated X protein (BAX) mRNA increased (both P<0.05), compared with 0 h group. The mRNA relative expression of caspase (CASP) -3 and CASP-9 in A549 cells increased with longer silica exposure (all P<0.05). ii) Animal experiment. The lung organ coefficients and Ashcroft score in mice progressively increased (all P<0.05), the degree of pulmonary fibrosis was gradually aggravated, and TUNEL positive cells in lung tissue were gradually increased, while Bax, Casp-3 and Casp-9 mRNA relative expression increased with longer silica exposure (all P<0.05). Conclusion Silica dust may cause pulmonary fibrosis by inducing apoptosis of AEC, with a time-dependent effect. The mechanism may be related to the effect of silica dust on mitochondrial apoptosis through Bcl-2/Bax/Caspase-3 signaling pathway.
10.Comparison of small-sample multi-class machine learning models for plasma concentration prediction of valproic acid
Xi CHEN ; Shen’ao YUAN ; Hailing YUAN ; Jie ZHAO ; Peng CHEN ; Chunyan TIAN ; Yi SU ; Yunsong ZHANG ; Yu ZHANG
China Pharmacy 2025;36(11):1399-1404
OBJECTIVE To construct three-class (insufficient, normal, excessive) and two-class (insufficient, normal) models for predicting plasma concentration of valproic acid (VPA), and compare the performance of these two models, with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 (a total of 695 sets of data). In this study, predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation, and the performance of the models was evaluated using three indexes: accuracy, F1 score, and the area under the working characteristic curve of the subject (AUC). RESULTS XGBoost feature importance scores revealed that in the three-class model, the importance ranking of kidney disease and electrolyte disorders was higher. However, in the two-class model, the importance ranking of these features significantly decreased, suggesting a close association with the excessive blood concentration of VPA. In the three-class model, Random Forest method performed best, with F1 score of 0.704 0 and AUC of 0.519 3 on the test set; while in the two-class model, CatBoost method performed optimally, with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration, but its prediction and model generalization abilities are poor; the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases, but its model performance is stronger.


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