1.Integrated evidence chain (Eff-iEC) based effectiveness evaluation of a multifunctional traditional Chinese medicine formula: Taking Xiaoyao San as an example
Caiping HE ; Ye LUO ; Zhiqi LI ; Haocheng YANG ; Lu LIU ; Yingjie XU ; Xiaoyan CHEN ; Siqi HUANG ; Jincai WEN ; Xiaoyan ZHAN ; Zhaofang BAI ; Xu ZHAO ; Xiaohe XIAO
Science of Traditional Chinese Medicine 2026;4(1):96-103
The study focuses on the concept of multifunctional traditional Chinese medicine (TCM) formulas and aims to evaluate the efficacy of the classical formula Xiaoyao San (逍遥散). Study employs the integrated evidence chain (Eff-iEC) method to organize, integrate, and evaluate its therapeutic efficacy in treating different diseases with the same therapy, and to investigate the feasibility of using Eff-iEC to evaluate the multifunctionality of TCM formulas. The evaluation covered Xiaoyao San's therapeutic effects on depression, premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Concurrently, the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system was used for evaluation, and authoritative medical documents were incorporated to corroborate the recognition of Xiaoyao San within the medical community. Depression and menopausal syndrome received higher ratings than other conditions in the Eff-iEC, GRADE, and Medical Community Recognition assessments. The Eff-iEC evidence grade for Xiaoyao San was rated as "High" or above for chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Premenstrual syndrome received a "Moderate +" rating. The GRADE evidence level was "Low-〇〇⨁⨁" for depression, premenstrual syndrome, and chronic hepatitis; "Moderate-〇⨁⨁⨁" for dyspepsia and menopausal syndrome; and "Very Low-〇〇〇⨁" for irritable bowel syndrome. Depression and menopausal syndrome had the highest inclusion frequency, appearing in all 4 categories. Premenstrual syndrome, chronic hepatitis, and dyspepsia are not recommended in Western medical guidelines, but they are included in TCM guidelines, the China National Basic Medical Insurance Drug List, and the China National Essential Drug List. Irritable bowel syndrome appears only in the China National Basic Medical Insurance Drug List and China National Essential Drug List. The evaluation results obtained using the Eff-iEC method align with Medical Community Recognition, providing an objective and comprehensive assessment of Xiaoyao San's efficacy. The findings suggest that Xiaoyao San has strong evidence for treating depression and menopausal syndrome. However, further experimental and clinical trials are needed to assess its efficacy in treating premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, and dyspepsia. These results support the clinical efficacy and rational use of Xiaoyao San, expand the application scope of the Eff-iEC method, and offer valuable insights and methodological references for the comparative evaluation of multifunctional TCM formulas.
2.Spatiotemporal clustering characteristics and epidemiological trends of typhus fever in Baoshan City, Yunnan Province, 2005‒2023
Tianren LU ; Lijuan ZHAO ; Lizhong DUAN ; Kai HE ; Na WANG ; Zongqi JIANG ; Zhijie ZHANG ; Dongsheng HUANG
Shanghai Journal of Preventive Medicine 2026;38(4):274-279
ObjectiveTo analyze the incidence and spatiotemporal distribution of typhus fever in Baoshan City, Yunnan Province from 2005 to 2023, to identify high-risk populations and regions, so as to provide a scientific basis for optimizing the allocation of local prevention and control resources and developing targeted intervention measures. MethodsData of typhus fever cases in Baoshan City from 2005 to 2023 were obtained from the Infectious Disease Information Management System of the Chinese Center for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze the temporal, spatial and demographic distribution of typhus fever cases. Spatial clustering was assessed using spatial dynamic window scan statistics (circular and elliptical windows), flexible spatial scan statistics, and local spatial autocorrelation methods (including local Moran’s I, local Geary’s C, and Getis-Ord Gi*). Retrospective spatiotemporal scan statistics were employed to detect spatiotemporal clusters. ResultsA total of 1 099 typhus fever cases were reported in Baoshan City from 2005 to 2023. The incidence rate peaked at 6.31/ 100 000 in 2007, followed by a decline until reaching its lowest level at 0.21/100 000 in 2015 , and subsequently rebounded during 2016‒2023. The highest proportion of cases was among children under 10 years of age (31.12%), and the top three occupations of cases were farmers, students, and children, accounting for 88.62% of all cases. Cases occurred predominantly between June and September each year. The incidence was relatively high in Jiucheng Town (62.58/100 000), Yaoguan Town (57.15/100 000), and Dianyang Town (46.81/100 000) of Shidian County. Spatial clustering analyses indicated that high-risk areas were mainly located in the southern part of Baoshan City, showing a south-to-north trend. Spatiotemporal scan analyses identified five clusters, with the most likely cluster centered around Yaoguan Town, covering ten towns (subdistricts) during the period 2007‒2010. ConclusionThe incidence of typhus fever in Baoshan City exhibits a clear seasonal and spatial clustering pattern, with peak incidence occurring in summer and autumn. Spatially, cases are primarily distributed in the southern part of Baoshan City, and high-risk clusters exhibit a south-to-north trend. Farmers, students, and children are the high-risk groups.
3.The Growing Burden of Fall-Related Injuries among Older Adults: A Seven-Year Study from a Tertiary Medical Center in Taiwan
Yu-Chieh TSAI ; Shey-Ying CHEN ; Ya-Mei CHEN ; Edward Pei-Chuan HUANG ; Feng-Ping LU
Annals of Geriatric Medicine and Research 2026;30(1):70-76
Background:
As Taiwan’s population ages, falls among older adults have become a critical public health concern. However, limited data exist regarding temporal trends and injury patterns in fall-related emergency department (ED) visits. This study aimed to examine trends in fall-related ED visits and hospitalizations among older adults in Taiwan and to explore injury distributions by age group.
Methods:
We conducted a retrospective cohort study using data from the National Taiwan University Hospital between 2011 and 2017. Patients aged ≥65 years were compared with those aged 20–64 years. Fall-related visits were identified using chief complaints and the International Classification of Diseases 9th/10th revision (ICD-9/ICD-10) codes. Outcomes included hospitalization rates, length of stay, and 30-day mortality.
Results:
A total of 22,471 fall-related ED visits were analyzed. While visits among younger adults declined (annual growth rate, -1.34%), visits among older adults increased (2.37% annually), with the steepest rise in those aged ≥85 years. Hospitalization occurred in 27.1% of older adults, nearly double that of younger adults (14.4%). Older adults also had longer hospital stays and higher 30-day mortality rates, findings consistent even when restricted to lower limb fractures.
Conclusion
Fall-related ED visits and hospitalizations are rising disproportionately among Taiwan’s older population. Targeted prevention strategies and transitional care interventions are urgently needed to address the growing clinical and economic burden of falls in aging societies.
4.Association between meat consumption and anxiety symptoms in first year junior high school students in Yunnan Province
DING Shaocai, SHI Zelin, YANG Yongfu, YANG Yijun, LU Qiuan, XUE Yanfeng, WANG Yuan,〖JZ〗 XUE Wei, HUANG Xiaoli, XU Honglü ;
Chinese Journal of School Health 2026;47(3):384-387
Objective:
To explore the association between meat consumption and anxiety symptoms in first year junior high school students in Yunnan Province, and to provide theoretical support for preventing and relieving anxiety symptoms in junior high school students.
Methods:
From October to December 2022, a random cluster sampling method was used to select 8 500 first year junior high school students from 11 counties in Yunnan Province as the survey subjects for a questionnaire survey. The study used Food Frequency Questionnaire and the Chinese version of the Depression Anxiety Stress Scale-21 (DASS-21) to assess the meat consumption and anxiety symptoms of junior high school students.The distribution differences in anxiety symptoms among first year junior high school students with different demographic characteristics were analyzed statistically by using the Chi-square test,and the association between meat consumption and anxiety symptoms in students was analyzed by using a generalized linear model.
Results:
The detection rate of anxiety symptoms was 48.47%. After controlling for demographic variables and confounding factors, the consumption of livestock meat, poultry meat, processed meat, cured meat, barbecued meat and raw skin meat was statistically significant with anxiety symptoms ( β =-0.05, 0.04, 0.04, 0.08, 0.14, 0.17, all P <0.05). Stratified by ethnicity, The consumption of livestock meat, cured meat and barbecue was statistically correlated with anxiety symptoms in Han adolescents ( β =-0.07, 0.14, 0.22 ); the consumption of processed meat and raw skin meat was statistically correlated with anxiety symptoms in ethnic minority adolescents ( β =0.08, 0.18) (all P <0.05).
Conclusions
There is a statistical association between meat comsumption and the risk of anxiety symptoms in first year junior high school students in Yunnan Province. Guidance on meat consumption should be strengthened to prevent the occurrence of anxiety symptoms.
5.Study on the correlation between HLA antibodies and pregnancy-related factors, and the predictive value of a random-forest model among female blood donors in Nanning
Fang LU ; Huihui MO ; Wujin SU ; Zhoulin ZHONG ; Hengcong LI ; Yuchen HUANG ; Yuxi CHEN ; Lilan LI ; Yan ZHOU
Chinese Journal of Blood Transfusion 2026;39(3):367-372
Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.
6.Clinical Efficacy of Shenqi Yangxin Decoction in Treatment of Patients with Ischemic Cardiomyopathy and Its Effect on Serum H2S and Ca2+
Zhuojun ZHANG ; Lijuan SHEN ; Hongyi LAN ; Jiajing ZHAO ; Liyang SHEN ; Tiantian HUANG ; Shuai ZHANG ; Xiaodong TAN ; Shu LU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):210-217
ObjectiveTo evaluate the clinical efficacy of Shenqi Yangxin decoction in the treatment of ischemic cardiomyopathy (ICM) with Qi and Yin deficiency and blood stasis syndrome and its effect on serum hydrogen sulfide (H2S) and calcium ion (Ca2+). MethodsA total of 64 ICM patients with Qi and Yin deficiency and blood stasis syndrome who met the inclusion criteria were randomly divided into a control group (n=32) and a treatment group (n=32). All patients received conventional Western medicine treatment. The treatment group was additionally given Shenqi Yangxin decoction. The TCM syndrome score, Minnesota Living with Heart Failure Questionnaire (MLHFQ) score, left ventricular ejection fraction (LVEF), N-terminal pro-B-type natriuretic peptide (NT-proBNP), 6-minute walk test (6MWT), New York Heart Association (NYHA) cardiac function classification, and serum H2S and Ca2+ levels were compared between the two groups pre- and post-treatment. ResultsTwo cases dropped out from each group during the study. Finally, 30 patients in each group were included in the analysis. There were no significant differences in age, gender, course of coronary heart disease, underlying diseases, and laboratory tests between the two groups. Compared with baseline, the TCM syndrome score, MLHFQ score, and NT-proBNP in both treatment group and control group decreased significantly (P<0.01), LVEF, 6MWT, and H2S increased significantly (P<0.01), and serum Ca2+ increased (P<0.05). Compared with the control group after treatment, the MLHFQ score and NT-proBNP in the treatment group decreased (P<0.05), the TCM syndrome score decreased significantly (P<0.01), LVEF, 6MWT, and serum Ca2+ increased (P<0.05), and H2S increased significantly (P<0.01). The improvement degree of the NYHA cardiac function classification in the treatment group was higher than that in the control group, but there was no significant difference. ConclusionShenqi Yangxin decoction is effective in treating ICM patients with Qi and Yin deficiency and blood stasis, which could significantly improve cardiac function and quality of life, and its therapeutic effect may be related to the regulation of serum H2S and Ca2+ levels.
7.Pathogenesis of Diabetic Nephropathy and Traditional Chinese Medicine Intervention Based on Signaling Pathways: A Review
Yaohong LU ; Chenjie HUANG ; Wenqi YUAN ; Haidong ZHOU ; Gengxin LIU ; Gedi ZHANG ; Ziyou YAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):287-299
Diabetic nephropathy (DN) is one of the most common and severe microvascular complications of diabetes, with a complex pathogenesis involving immune inflammatory responses, oxidative stress, apoptosis, glomerulosclerosis, renal interstitial fibrosis, and other pathological processes. In recent years, numerous animal or cell model experiments have revealed that the transforming growth factor-β (TGF-β)/mothers against decapentaplegic homolog (Smad), phosphoinositide 3-kinase (PI3K)/ protein kinase B (Akt)/mammalian target of rapamycin (mTOR), mitogen-activated protein kinase (MAPK), AMP-activated protein kinase (AMPK), nuclear factor-κB (NF-κB), Janus kinase (JAK)/signal transducer and activator of transcription (STAT), neurogenic locus notch homolog protein (Notch), nuclear factor E2-related factor 2 (Nrf2), secretory glycoprotein (Wnt)/β-catenin, and other classical signaling pathways play important roles in the occurrence and development of DN. Traditional Chinese medicines, as natural drugs, possess characteristics such as multiple components, multiple targets, and few adverse reactions, demonstrating unique advantages in regulating the aforementioned signaling pathways and improving renal pathological changes. This review summarized recent research progress on the intervention of DN through the regulation of the aforementioned signaling pathways by single compounds and formulas of traditional Chinese medicine, focusing on their mechanisms of action in regulating immune inflammatory responses, inhibiting renal fibrosis, oxidative stress, improving metabolic disorders, and other aspects. The aim is to provide theoretical references for a deeper understanding of the modern pharmacological basis and clinical application of traditional Chinese medicine in the treatment of DN.
8.Study on the interaction between small molecule Lyb24 and dihydroorotate dehydrogenase PyrD
Jiarong SUN ; Shuyan WANG ; Wei HUANG ; Chao LU
Journal of China Pharmaceutical University 2026;57(2):240-245
This study aimed to explore the interaction between the small molecule Lyb24 and PyrD, a key enzyme in the pyrimidine biosynthesis pathway of Klebsiella pneumoniae (KP), and the effect of Lyb24 on the catalytic activity of PyrD, thus to provide a theoretical basis for the development of novel antimicrobial agents. The pET-30a(+)-PyrD recombinant plasmid was constructed using Nde I/Xba I double digestion technology and was transformed into Escherichia coli BL21 (DE3) competent cells using the heat-shock method. The recombinant protein was induced at 16 ℃ with 0.3 mmol/L isopropyl β-D-thiogalactopyranoside (IPTG). The recombinant PyrD protein was purified using nickel-nitrilotriacetic acid (Ni-NTA) affinity chromatography to obtain a high-purity product. Surface plasmon resonance (SPR) experiments were conducted to detect the direct interaction between Lyb24 and PyrD protein, and a DCIP-based colorimetric assay was used to evaluate the effect of Lyb24 on the catalytic activity of PyrD. The pET-30a(+)-PyrD plasmid was successfully constructed, and the recombinant PyrD protein with a molecular weight of approximately 36 kD was expressed and purified to a concentration of 5.58 mg/mL. Lyb24 exhibited high-affinity direct binding to PyrD (KD = 8.83 × 10−5 mol/L) and exerted an uncompetitive inhibition effect on the catalytic activity of PyrD. This study demonstrates that Lyb24, a small-molecule compound, directly binds to PyrD and inhibits its enzymatic activity, providing crucial experimental evidence for developing PyrD-targeted antibacterial agents with value of clinical translation.
9.Application of action observation therapy in stroke rehabilitation from 2016 to 2025: a bibliometric analysis
Cheng HUANG ; Yangyi SHEN ; Biying LU ; Tong LIU ; Yue LIU
Chinese Journal of Rehabilitation Theory and Practice 2026;32(4):399-410
ObjectiveTo analyze the application trends and research hotspots of action observation therapy (AOT) in the field of stroke rehabilitation over the past decade. MethodsLiteratures on AOT in stroke rehabilitation published from January, 2016 to December, 2025 were retrieved from the Web of Science Core Collection database. CiteSpace 6.4.R1 was used for visual analysis. ResultsA total of 463 articles were included. The annual publication volume showed a fluctuating upward trend. The country with the highest number of publications was China, the most productive institution was Chang Gung University and Consiglio Nazionale delle Ricerche, and the most prolific author was Avanzini Pietro. Mirror neuron system, motor imagery, upper limb and facilitation were identified as high-frequency keywords and bursting words. ConclusionIn the past decade, the number of publications on AOT in stroke rehabilitation has generally increased. Researches are focusing on the synergy of sensory-closed-loop multimodal technologies, reconstruction of fine upper limb function and neural facilitation mechanisms.
10.Regulatory Mechanism of Extracellular Vesicles in The Tumor Immune Microenvironment and Its Application in Diagnosis and Treatment
Zi-Qi WANG ; Jing WANG ; Yuan-Yu HUANG ; Mei LU
Progress in Biochemistry and Biophysics 2026;53(4):968-981
Extracellular vesicles (EVs) are pivotal mediators of intercellular communication within the tumor immune microenvironment (TME). They are broadly categorized into exosomes, microvesicles, and apoptotic bodies based on their distinct biogenesis pathways. Exosomes originate from the endosomal system via multivesicular body fusion, microvesicles bud directly from the plasma membrane, and apoptotic bodies are released during programmed cell death. By shuttling diverse bioactive cargoes—including proteins, lipids, and nucleic acids such as mRNA, miRNA, and DNA—EVs exert dual modulatory effects on tumor initiation, progression, and immune evasion. Importantly, EVs exhibit remarkable compositional heterogeneity that is intrinsically linked to their cellular origin. Tumor-derived EVs (TDEVs) are typically enriched with immunosuppressive molecules like PD-L1, TGF‑β, and miR-21, which promote tumor immune escape and metastasis. In contrast, EVs derived from immune cells, such as dendritic cells or cytotoxic T lymphocytes, often carry immunostimulatory components including antigens, co-stimulatory molecules, and granzymes, thereby potentiating anti-tumor immunity. This review systematically delineates the biogenesis and molecular composition of EVs, with a particular emphasis on their dynamic regulatory functions within the TME. Specifically, we discuss how EVs mediate intricate crosstalk between immune and tumor cells, facilitating signal transfer that reshapes immune surveillance. For instance, TDEVs can induce macrophage polarization toward an M2-like pro-tumor phenotype, while also suppressing natural killer cell cytotoxicity and dendritic cell maturation. The clinical utility of EV-associated biomarkers in liquid biopsy is increasingly recognized. Circulating EVs carry tumor-specific molecular signatures that mirror the genetic and proteomic alterations of primary tumors, enabling non-invasive early diagnosis, molecular subtyping, and real-time monitoring of therapeutic responses. Their natural biocompatibility, low immunogenicity, and intrinsic ability to traverse biological barriers make them ideal candidates for drug delivery systems. This review explores cutting-edge applications, including the use of EVs in immune checkpoint blockade therapy—for instance, engineered EVs displaying anti-PD-1 antibodies or carrying siRNA to silence immunosuppressive genes. Moreover, EV-based tumor vaccines are being developed, leveraging dendritic cell-derived EVs loaded with tumor antigens to elicit potent T cell responses. The feasibility of loading EVs with therapeutic molecules such as chemotherapeutic agents, oncolytic viruses, or CRISPR-Cas9 components is also under active investigation. The advent of engineered EVs has further expanded their therapeutic potential. Through surface modification or cargo encapsulation, EVs can be tailored for targeted delivery and controlled release, enhancing precision immunotherapy. However, several hurdles impede clinical translation. Current isolation and purification methods, such as ultracentrifugation and size-exclusion chromatography, suffer from low yield and purity. Distinguishing EV subpopulations remains technically challenging due to overlapping size and marker expression. Moreover, the lack of standardized protocols for EV production, characterization, and quality control poses significant barriers to regulatory approval and clinical adoption. Looking forward, the convergence of multi-omics technologies with artificial intelligence offers a powerful approach to decipher EV heterogeneity and identify robust diagnostic signatures. Machine learning algorithms can integrate proteomic, transcriptomic, and lipidomic data from large patient cohorts to construct predictive models for cancer diagnosis and prognosis. Concurrently, advances in bioengineering are enabling the design of next-generation EVs with enhanced targeting specificity, on-demand drug release, and reduced off-target effects. Future efforts should also focus on establishing good manufacturing practice (GMP)‑compliant production processes and conducting rigorous preclinical and clinical evaluations. In summary, this review provides a comprehensive overview of EV biology, their multifaceted roles in the TME, and their transformative potential in cancer diagnostics and therapeutics. By addressing current challenges and leveraging emerging technologies, EV-based strategies are poised to revolutionize precision oncology.


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