1.Effect of Jianpi Huazhuo Tiaozhi Granule(健脾化浊调脂颗粒)on Perivascular Adipose Tissue Browning and PI3K/AKT Pathway in the Aorta of Atherosclerosis Model Mice
Zhuhua WANG ; Yanfang WANG ; Mingshu ZHONG ; Shupeng CHEN ; Yishun YUAN ; Shan HUANG ; Yanwei LIU ; Zhongyong LIU
Journal of Traditional Chinese Medicine 2026;67(11):1200-1210
ObjectiveTo explore the possible mechanism of Jianpi Huazhuo Tiaozhi Granule (健脾化浊调脂颗粒, JHTG) in treating atherosclerosis (AS) based on the regulation of perivascular adipose tissue (PVAT) browning via the phosphoinositide 3-kinase/protein kinase B (PI3K/AKT) signaling pathway. MethodsFifteen SPF male C57BL/6J mice served as control group, while 76 ApoE-/- mice were first fed a high-fat diet for 16 weeks to establish AS model. After successful modeling, they were randomly divided into model group (n=16), as well as the browning group, the low-, medium- and high-dose JHTG group, with 15 mice in each group. The browning group was intraperitoneally injected with β3-adrenergic receptor agonist CL 316243 at 1 mg/(kg·d) once daily. The low-, medium- and high-dose JHTG groups were treated with 4.3 g/(kg·d), 8.6 g/(kg·d), and 17.2 g/(kg·d) of JHTG by gavage, respectively, while the control group and the model group were given normal saline at 10 ml/(kg·d) by intragastric administration, once daily. All groups received continuous intervention for 4 weeks. The aorta was collected to assess the plaque ratio by gross oil red O staining. HE staining was used to measure the plaque area in cross-sections. Masson staining was employed to detect the proportion of collagen fibers in plaque. Transmission electron microscopy was used to observe the quantity and morphological changes of mitochondria and lipid droplets in adipocytes. The levels of serum triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were detected, as well as tumor necrosis factor α (TNF-α) and interleukin 6 (IL-6) levels in the PVAT and aorta. The protein levels of adiponectin and leptin in PVAT, and protein expression levels of phosphoinositide 3-kinase (PI3K), phosphorylated phosphoinositide 3-kinase (p-PI3K), protein kinase B (AKT), phosphorylated protein kinase B (p-AKT), uncoupling protein 1 (UCP1), peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α), and PR domain containing 16 (PRDM16) were measured. The mRNA expression levels of UCP1, PGC-1α and PRDM16 in PVAT were detected. ResultsCompared to the control group, the model group showed increased serum TG, TC, and LDL-C levels and decreased HDL-C level, elevated TNF-α and IL-6 levels in PVAT and aorta, decreased average fluorescence intensity of adiponectin, increased average fluorescence intensity of leptin, reduced p-PI3K/PI3K and p-AKT/AKT values as well as protein levels and mRNA expression levels of UCP1, PGC-1α and PRDM16 (P<0.01). The pathological results showed that no significant plaque formation was observed in the aortas of mice in the control group. In the model group, multiple plaques were observed in the aortas, with large numbers of foam cells, cholesterol crystals, and inflammatory cell aggregation in the plaques. Compared to the model group, the browning group and the high-dose JHTG group significantly improved the above indicators and aortic pathological changes (P<0.05 or P<0.01). Three JHTG groups showed a dose-dependent effect in reducing LDL-C level and plaque ratio by gross oil red O staining, elevating the average fluorescence intensity of adiponectin, the p-AKT/AKT value, the protein level of PGC-1α, and the mRNA expression levels of UCP1 and PRDM16 (P<0.05). The high-dose JHTG group and the browning group showed similar efficacy in improving the pathology of the aorta. ConclusionJHTG may promote PVAT browning in AS model mice through the PI3K/AKT pathway, improve the endocrine function of PVAT, inhibit aortic inflammation, and thereby ameliorate the formation of AS plaques.
2.Association of weight management intention and school sports environment with exercise habits among college students
ZHOU Long, WANG Ziyu, NIE Chunli, CHEN Fule, HUANG Shupeng, TANG Fengnian
Chinese Journal of School Health 2026;47(7):941-944
Objective:
To examine the association between school sports environment and exercise habits among college students, and to test the mediating role of weight management intention in the relationship, so as to provide empirical evidence for promoting exercise habit formation of college students.
Methods:
A multi stage cluster sampling survey was conducted from April 15 to May 15, 2025, among 2 687 undergraduates from 8 colleges in Beijing, Shandong, Henan, Shanxi and Guangxi Zhuang Autonomous Region in China. School Sports Environment Characteristics Questionnaire, Weight Management Behavioral Intention Questionnaire and College Students Exercise Habit Scale were used for evaluation. Pearson correlation analysis was applied to examine the correlations among the three variables. A structural equation model (SEM) was constructed using AMOS 26.0, and the mediating effect was tested using the Bootstrap method.
Results:
The score for school sports environment was (3.72±0.57), with scores of (3.68±0.61) for physical environment and (3.74±0.59) for social environment; the scores for weight management intention and the total exercise habit were (4.21±0.46) and (3.94±0.51). School sports environment was positively correlated with weight management intention ( r =0.56) and exercise habits ( r =0.57), and weight management intention was positively correlated with exercise habits ( r =0.71) (all P <0.01). The SEM showed that school sports environment exerted positive impact on weight management intention ( β =0.50) and exercise habits ( β =0.29), weight management intention had a significant positive path to exercise habits ( β =0.52) (all P <0.01). Weight management intention of college students played a partial mediating role in the association between school sports environment and exercise habits, with an indirect effect of 0.259, accounting for 47.01% of the total effect.
Conclusions
The school sports environment is positively correlated with college students exercise habits, and might indirectly facilitate habit cultivation by improving weight management intention. While optimizing the physical and social environments of school sports in colleges, colleges should place a strong emphasis on stimulating college students weight management intention to promote the formation of their exercise habits.
3.Radionuclide Drug Conjugates:China's 15-Year Research and Development Process and Latest Policy Support
Dan LIU ; Xiuqi LI ; Shupeng LIU ; Xiaofei WU ; Mengyang YU ; Hongyun WANG
Medical Journal of Peking Union Medical College Hospital 2025;16(4):847-854
Radionuclide drug conjugates(RDC)represent the culmination of interdisciplinary integra-tion.By virtue of their precise targeting capability,high diagnostic sensitivity,and remarkable therapeutic effi-cacy in tumor diagnosis and treatment,RDC has emerged as promising theranostic agents with immense applica-tion potential.This article systematically reviews the progress in RDC development in China from 2009 to 2024,encompassing an overview of RDC,its structure and classification,trends in clinical research,advances in clinical trials,and national policy support.The aim is to provide valuable insights for researchers in related fields,thereby facilitating further development and application of RDC-based therapeutics.
4.Three-party game and simulation analysis of health-related information quality regu-lation in public health emergencies
Yu WANG ; Rui YUAN ; Shupeng LI ; Chun CHANG
Journal of Peking University(Health Sciences) 2025;57(3):514-521
Objective:To construct a tripartite game model involving the government,the public,and the pharmaceutical industry alliance during public health emergencies,revealing the dynamic mechanisms of health-related information quality regulation and exploring effective strategies to optimize the informa-tion dissemination environment through reward-punishment mechanisms.Methods:Based on evolutionary game theory,a tripartite evolutionary game model was established,integrating strategy spaces,payoff functions,and parameter definitions for each stakeholder.The pharmaceutical industry alliance's strate-gies included publishing high-or low-quality information(α),the public's strategies encompassed ration-al analysis or passive response(β),and the government's strategies involved regulatory enforcement or inaction(γ).Key parameters,such as economic benefits(Iyy),regulatory costs(Czf),penalties(Fyy),and incentives(Pyy),were quantified to reflect real-world scenarios.Replicator dynamic equa-tions and Jacobian matrices were derived to analyze the stability of equilibrium points,while MATLAB 2016a simulations were conducted to validate the model under varying initial conditions(e.g.,Iyy=100,150,200;Pyy=0,20,35;Fyy=0,10,20).Sensitivity analyses examined the impact of critical pa-rameters on system evolution,by 50 iterative simulations to observe convergence patterns.Results:The study revealed three key findings:(1)Public rational discernment(β)significantly influenced the phar-maceutical industry's strategy.Simulations demonstrated that increasing Iqz(benefits of information acqui-sition)reduced Cqz(cognitive costs),elevating β from 0.4 to 0.8 and driving α(high-quality information probability)to stabilize at 1.(2)Government regulatory intensity(γ)correlated positively with the so-cial hazards of low-quality information.When Fyy+Pyy>Iyy,speculative behaviors decreased,achieving equilibrium at α=1.(3)Dual stable equilibria emerged:a high-quality equilibrium(α=1,β=1,γ=0)with lower regulatory costs and a low-quality equilibrium(α=0,β=0,γ=1)associated with higher social risks.Phase diagrams illustrated path dependency,where initial α<0.5 led to the low-quality equilibrium unless dynamic penalties(Fyy>20)and incentives(Pyy>30)were enforced.Conclusion:A"carrot-stick"collaborative governance framework is proposed,emphasizing categorized regulation,AI-enabled auditing,and dynamic penalty systems.Future research should integrate emotional utility func-tions to address irrational decision-making impacts,thereby enhancing the adaptability of health informa-tion regulatory systems.
5.Radionuclide Drug Conjugates:China's 15-Year Research and Development Process and Latest Policy Support
Dan LIU ; Xiuqi LI ; Shupeng LIU ; Xiaofei WU ; Mengyang YU ; Hongyun WANG
Medical Journal of Peking Union Medical College Hospital 2025;16(4):847-854
Radionuclide drug conjugates(RDC)represent the culmination of interdisciplinary integra-tion.By virtue of their precise targeting capability,high diagnostic sensitivity,and remarkable therapeutic effi-cacy in tumor diagnosis and treatment,RDC has emerged as promising theranostic agents with immense applica-tion potential.This article systematically reviews the progress in RDC development in China from 2009 to 2024,encompassing an overview of RDC,its structure and classification,trends in clinical research,advances in clinical trials,and national policy support.The aim is to provide valuable insights for researchers in related fields,thereby facilitating further development and application of RDC-based therapeutics.
6.Three-party game and simulation analysis of health-related information quality regu-lation in public health emergencies
Yu WANG ; Rui YUAN ; Shupeng LI ; Chun CHANG
Journal of Peking University(Health Sciences) 2025;57(3):514-521
Objective:To construct a tripartite game model involving the government,the public,and the pharmaceutical industry alliance during public health emergencies,revealing the dynamic mechanisms of health-related information quality regulation and exploring effective strategies to optimize the informa-tion dissemination environment through reward-punishment mechanisms.Methods:Based on evolutionary game theory,a tripartite evolutionary game model was established,integrating strategy spaces,payoff functions,and parameter definitions for each stakeholder.The pharmaceutical industry alliance's strate-gies included publishing high-or low-quality information(α),the public's strategies encompassed ration-al analysis or passive response(β),and the government's strategies involved regulatory enforcement or inaction(γ).Key parameters,such as economic benefits(Iyy),regulatory costs(Czf),penalties(Fyy),and incentives(Pyy),were quantified to reflect real-world scenarios.Replicator dynamic equa-tions and Jacobian matrices were derived to analyze the stability of equilibrium points,while MATLAB 2016a simulations were conducted to validate the model under varying initial conditions(e.g.,Iyy=100,150,200;Pyy=0,20,35;Fyy=0,10,20).Sensitivity analyses examined the impact of critical pa-rameters on system evolution,by 50 iterative simulations to observe convergence patterns.Results:The study revealed three key findings:(1)Public rational discernment(β)significantly influenced the phar-maceutical industry's strategy.Simulations demonstrated that increasing Iqz(benefits of information acqui-sition)reduced Cqz(cognitive costs),elevating β from 0.4 to 0.8 and driving α(high-quality information probability)to stabilize at 1.(2)Government regulatory intensity(γ)correlated positively with the so-cial hazards of low-quality information.When Fyy+Pyy>Iyy,speculative behaviors decreased,achieving equilibrium at α=1.(3)Dual stable equilibria emerged:a high-quality equilibrium(α=1,β=1,γ=0)with lower regulatory costs and a low-quality equilibrium(α=0,β=0,γ=1)associated with higher social risks.Phase diagrams illustrated path dependency,where initial α<0.5 led to the low-quality equilibrium unless dynamic penalties(Fyy>20)and incentives(Pyy>30)were enforced.Conclusion:A"carrot-stick"collaborative governance framework is proposed,emphasizing categorized regulation,AI-enabled auditing,and dynamic penalty systems.Future research should integrate emotional utility func-tions to address irrational decision-making impacts,thereby enhancing the adaptability of health informa-tion regulatory systems.
7.An analysis of results of 392 times of CT quality control and room radiological protection testing in Guangdong Province, China
Xiyuan CHENG ; Yanpeng LIAO ; Shupeng LIU ; Chuang WANG ; Meijuan ZHOU
Chinese Journal of Radiological Health 2024;33(1):61-67
Objective To provide a theoretical basis for radiation health supervision through an analysis of the situation of computed tomography (CT) equipment quality control and CT room radiological protection in Guangdong Province, China in recent years. Methods We collected the data of 392 times of CT quality control and radiological protection testing by a third-party radiological health technical service institution in Guangdong Province from 2019 to 2021. We analyzed the levels of CT-owning hospitals, CT manufacturers, CT quality control test results, and the pass rate of radiation protection tests. Results The examined CT scanners were from different levels of hospitals in Guangdong Province, and were manufactured by nine major CT equipment manufacturers at home and abroad. The pass rate of CT room radiological protection was 99.88%, and the ambient dose equivalent rates of five monitoring points exceeded the limit, with four at the control room door and one at the shield wall of the room. The overall pass rate of CT equipment quality control was 99.49%, and the non-conforming parameters were the accuracy of positioning light and the deviation of reconstructed slice thickness. Conclusion In recent years, CT equipment quality control and room radiation protection in Guangdong Province have been at a high level.
8.Establishment of colorectal cancer organoid models and analysis of factors influencing their culture success rates
Na XUE ; Bing HAN ; Wenhan WU ; Yanxia LI ; Guoqiang XING ; Jie ZHENG ; Shupeng ZHANG ; Qingguo FENG ; Qing WANG ; Liyan GUO
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2024;31(5):577-582
Objective To investigate the application of organoid technology in colorectal cancer research and analyze the factors influencing the success rate of organoid cultivation. Methods A total of 24 samples of colorectal cancer patients treated at Tianjin Fifth Central Hospital and cultured organoids using specific culture media and Matrigel. The samples were collected within 30 minutes post-excision and stored at 4℃ to minimize contamination and protein degradation. During the cultivation process,the authors recorded instances of bacterial or fungal contamination and the organoid growth,and test for their histological structure and expression of tumor markers. Additionally,by analyzing clinical information from the patients who provided the samples,explore potential factors that may affect the success rate of culturing colorectal cancer organoids. Results A success rate of 70.8% (17/24) was achieved in the cultivation of organoid. The success rate of organoid culture was significantly different from that of tumor stage (all P<0.05),with significantly higher successful organoid cultivation rate for stage Ⅱ and stage Ⅲ tumor tissues than those for stageⅠand Ⅳ[83.3% (5/6),90.9% (10/11) vs. 33.4% (1/3),25.0% (1/4)]. Additionally,samples with a Ki-67 positive area proportion of 55%-70% exhibited the highest success rate (100%). Phenotypic experiments on the organoids indicated that their pathological histological structure and the expression of tumor markers were consistent with those of the primary tissues,suggesting that the organoids retained the histological characteristics of the primary lesions. Conclusions This study successfully established a colorectal cancer organoid model revealing the impact of tumor staging and the proportion of Ki-67 positive areas on the success rate of culture. The organoid model effectively retains the histological characteristics of the primary lesion,providing a powerful in vitro tool for the research and treatment of colorectal cancer.
9.Clinical Landscape of Therapeutic Cancer Vaccines: Challenges and Opportunities
Shupeng LIU ; Mengyang YU ; Xiaofei WU ; Hongyun WANG
Medical Journal of Peking Union Medical College Hospital 2024;15(6):1356-1363
To explore the status and characteristics of clinical trials of therapeutic cancer vaccines, and provide the overall trend of clinical translational research of therapeutic cancer vaccines. The ClinicalTrial registration platform was employed to retrieve relevant clinical trial information of therapeutic cancer vaccines from 2002 to 2023. The current clinical landscape of therapeutic cancer vaccines was analyzed from the perspectives of the number of registrations, types of vaccines, trial design, and geographical distribution. A total of 1563 clinical trials for therapeutic cancer vaccines were obtained from 2002 to 2023, with an average annual registration of approximately 70 trials. Among these, phase Ⅰ trials accounted for 976 (62.4%, 976/1563), phase Ⅱ trials for 474 (30.3%, 474/1563), phase Ⅲ trials for 68 (4.4%, 68/1563), and other types for 45 (2.9%, 45/1563). Clinical trials from phase Ⅰ to phase Ⅲ were conducted in multiple regions worldwide, with multicenter clinical trials totaling 482 (31.8%) and single-center clinical trials totaling 1036 (68.2%). The main types of vaccines were cell vector vaccines (38.7%, 588/1518) and protein/peptide vaccines (34.1%, 518/1518), with the primary research designs being single-arm studies (55.3%, 840/1518) and randomized controlled trials (27.8%, 422/1518). The top five indications for the vaccines were melanoma (16.5%, 251/1518), glioblastoma (8.9%, 135/1518), breast cancer (8.6%, 130/1518), prostate cancer (8.5%, 129/1518), and lung cancer (8.1%, 123/1518). The overall development of clinical trials for therapeutic cancer vaccines has been stable and primarily focused on exploratory trials. The main types of vaccines were cell vector vaccines, and the main research designs were single-arm studies and randomized controlled trials. The vaccines were commonly indicated for melanoma, glioblastoma, and breast cancer. Currently, there are significant challenges in the clinical translation in this field, which may be due to the complexity of the immune microenvironment, patient heterogeneity, and the challenges in vaccine design and preparation. With the application of high-throughput technologies such as proteomics, genomic sequencing, and bioinformatics, it is expected that barriers in the research of therapeutic cancer vaccines would be overcome, thus leading to a better clinical translation landscape.
10.Clinical Landscape of Therapeutic Cancer Vaccines: Challenges and Opportunities
Shupeng LIU ; Mengyang YU ; Xiaofei WU ; Hongyun WANG
Medical Journal of Peking Union Medical College Hospital 2024;15(6):1356-1363
To explore the status and characteristics of clinical trials of therapeutic cancer vaccines, and provide the overall trend of clinical translational research of therapeutic cancer vaccines. The ClinicalTrial registration platform was employed to retrieve relevant clinical trial information of therapeutic cancer vaccines from 2002 to 2023. The current clinical landscape of therapeutic cancer vaccines was analyzed from the perspectives of the number of registrations, types of vaccines, trial design, and geographical distribution. A total of 1563 clinical trials for therapeutic cancer vaccines were obtained from 2002 to 2023, with an average annual registration of approximately 70 trials. Among these, phase Ⅰ trials accounted for 976 (62.4%, 976/1563), phase Ⅱ trials for 474 (30.3%, 474/1563), phase Ⅲ trials for 68 (4.4%, 68/1563), and other types for 45 (2.9%, 45/1563). Clinical trials from phase Ⅰ to phase Ⅲ were conducted in multiple regions worldwide, with multicenter clinical trials totaling 482 (31.8%) and single-center clinical trials totaling 1036 (68.2%). The main types of vaccines were cell vector vaccines (38.7%, 588/1518) and protein/peptide vaccines (34.1%, 518/1518), with the primary research designs being single-arm studies (55.3%, 840/1518) and randomized controlled trials (27.8%, 422/1518). The top five indications for the vaccines were melanoma (16.5%, 251/1518), glioblastoma (8.9%, 135/1518), breast cancer (8.6%, 130/1518), prostate cancer (8.5%, 129/1518), and lung cancer (8.1%, 123/1518). The overall development of clinical trials for therapeutic cancer vaccines has been stable and primarily focused on exploratory trials. The main types of vaccines were cell vector vaccines, and the main research designs were single-arm studies and randomized controlled trials. The vaccines were commonly indicated for melanoma, glioblastoma, and breast cancer. Currently, there are significant challenges in the clinical translation in this field, which may be due to the complexity of the immune microenvironment, patient heterogeneity, and the challenges in vaccine design and preparation. With the application of high-throughput technologies such as proteomics, genomic sequencing, and bioinformatics, it is expected that barriers in the research of therapeutic cancer vaccines would be overcome, thus leading to a better clinical translation landscape.


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