1.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
2.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
3.Manganese porphyrin metal-organic framework nanoparticles loaded with DMXAA combined with sonodynamic therapy for the treatment of triple-negative breast cancer mouse xenografts
LIU Qianhui ; GUI Bin ; PU Huan ; LI Zhouchang ; HUANG Xin ; ZHOU Qing ; DENG Qing
Chinese Journal of Cancer Biotherapy 2026;33(3):262-269
[摘 要] 目的:构建负载STING激动剂DMXAA的锰卟啉金属有机框架纳米颗粒(DPM),探讨其对三阴性乳腺癌(TNBC)细胞4T1及其小鼠移植瘤的治疗效果。方法:通过物理吸附法制备 DPM 纳米颗粒,利用透射电镜、扫描电镜及纳米粒度电位仪表征其形貌与理化性质。常规培养4T1细胞,细胞实验分为对照组、超声辐照组(US组)、DPM治疗组(DPM组)和DPM治疗联合超声辐照组(DPM + US组),用CCK-8法检测细胞活性,免疫荧光法检测高迁移率族蛋白B1(HMGB1)和钙网蛋白(CRT)的表达,WB法检测STING通路相关蛋白的表达。构建4T1细胞移植瘤小鼠模型,分为四组,处理同细胞实验,测量肿瘤体积,免疫荧光法检测移植瘤组织中Ki-67、HMGB1、CRT和缺氧诱导因子-1ɑ(HIF-1ɑ)蛋白的表达,TUNEL法检测细胞凋亡,流式细胞术检测免疫细胞活化情况,对主要器官进行H-E染色,以评估纳米材料的体内安全性。结果:DPM呈梭形,平均粒径(268 ± 3.302)nm,电位(33.1 ± 0.87)mV。细胞实验中,DPM联合超声辐照可明显抑制4T1细胞的增殖(P < 0.001),提高4T1细胞中ROS水平(P < 0.001),诱导4T1细胞CRT表达上调(P < 0.001),HMGB1从细胞核中移至细胞质,激活STING信号通路[p-STING、p-TBK1、p-IRF3蛋白表达均显著增加(均P < 0.001)]。体内实验中,DPM联合超声辐照可显著抑制4T1细胞移植瘤生长(P < 0.001)并促进免疫细胞表型转化(P < 0.001),抑制移植瘤组织中Ki-67、HIF-1α蛋白表达(均P < 0.01),谷胱甘肽(GSH)产生(P < 0.01),促进CRT、HMGB1蛋白表达、ROS产生(P < 0.001),对主要器官结构无明显影响。结论: DPM联合超声辐照可通过激活STING通路显著抑制4T1细胞及其移植瘤的生长,诱导抗肿瘤免疫应答,且对主要器官无明显毒性。
4.Predictive model for anxiety symptoms among junior high school students based on machine learning algorithms
YANG Yinmei, FENG Haiyang, LIU Mingxiu, YU Qiurui, MA Xin, YAN Hong, YU Bin, YU Chengcheng
Chinese Journal of School Health 2026;47(5):690-694
Objective:
To explore the influencing factors of anxiety symptoms and to construct a predictive model based on machine learning algorithms, so as to provide support for the prevention and management of anxiety symptoms among junior high school students.
Methods:
From April to May 2023, a stratified random cluster sampling method was adopted to select 8 176 junior high school students from Zhengzhou and Shangqiu citys. All participants completed the Adolescent Self rating Life Events Checklist, the 10item Connor-Davidson Resilience Scale, the School Connectedness Scale, the Parent-Child Cohesion Questionnaire, and the 7 item Generalized Anxiety Disorder Scale. Logistic regression analysis identified the associated factors of anxiety symptoms among junior high school students. Predictive models were constructed using Logistic regression, Random Forest, and eXtreme Gradient Boosting (XGBoost) algorithms, with SHapley Additive exPlanations analysis explaining the optimal model.
Results:
The detection rate of anxiety symptoms among junior high school students was 16.3%. Logistic regression analysis showed that junior high school students who were female ( OR =1.22), in the ninth grade ( OR =1.27), living in urban areas ( OR =1.37), having a father with a college education or above ( OR =1.26), having a mother with a senior high school education ( OR =1.26), and experiencing higher levels of negative life events ( OR =1.05) reported a higher risk of anxiety symptoms(all P <0.05). In contrast, those with moderate family economic status ( OR =0.71), moderate academic burden ( OR =0.59), low academic burden ( OR =0.54), moderate sleep quality ( OR =0.46), good sleep quality ( OR =0.26), excellent sleep quality ( OR =0.15), higher levels of psychological resilience ( OR =0.96), higher levels of school connectedness ( OR =0.96), and higher levels of parent-child cohesion ( OR =0.98) reported a lower risk of anxiety symptoms (all P <0.05). Three machine learning models demonstrated good predictive performance for anxiety symptoms among junior high school students (all AUC>0.8), with the XGBoost model achieving the best predictive performance. SHAP analysis revealed that negative life events, sleep quality, school connectedness, psychological resilience and parent-child cohesion were the top five relevant factors for predicting anxiety symptoms.
Conclusions
The detection rate of anxiety symptoms among junior high school students is relatively high. The XGBoost model is the optimal predictive model for anxiety symptoms in the population. Negative life events, sleep quality, school connectedness, psychological resilience, and parent-child cohesion are significant correlates of anxiety symptoms among junior high school students.
5.Effects of Electrothermal Acupuncture on the HIF-1α/S1P/S1PR3 Pathway and Macrophage Polarization in Epididymal White Adipose Tissue of Obese Model Mice
Xiaobo GE ; Yuanyuan LI ; Jiangyan WEI ; Limin NIE ; Xin YANG ; Quan MIAO ; Mina WANG ; Yawei XI ; Luopeng ZHAO ; Yine SONG ; Xinru SUN ; Lu LIU ; Bin LI
Journal of Traditional Chinese Medicine 2026;67(20):2227-2235
ObjectiveTo investigate the mechanism underlying the weight loss effect of electrothermal acupuncture (ETA) in diet-induced obese (DIO) model mice based on the hypoxia-inducible factor-1α (HIF-1α)/sphingosine-1-phosphate (S1P)sphingosine-1-phosphate receptor 3 (S1PR3) signaling pathway-mediated macrophage polarization. MethodsAn obesity mouse model was established by continuously feeding at a high-fat diet (HFD) for 8 weeks. Twenty successfully modeled obese mice were randomly divided into a model group and an electrothermal acupuncture (ETA) group with 10 mice per group, both of which continued to receive the HFD till week 12. Another 10 mice were assigned to the normal group and fed a standard chow diet continuously for 12 weeks. Starting from week 9 of the experiment, mice in the ETA group received electrothermal acupuncture stimulation at Zhongwan (CV12), bilateral Tianshu (ST25), and bilateral Zusanli (ST36) for 30 minutes per session, with the instrument current set at (40±0.5)mA and a constant temperature of (40±0.5)℃. Mice in the normal group and the model group were restrained in the same manner for 30 minutes without acupuncture. All interventions were performed once every other day for a total of 4 weeks. Ten hours after the final intervention, the body weight, waist circumference, and body length of mice in each group were measured, and Lee's index was calculated. Serum biochemical analysis was performed to assess fasting blood glucose (FBG), total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), alanine aminotransferase (ALT), aspartate aminotransferase (AST), blood urea nitrogen (BUN), and creatinine (Cr). Serum leptin (LEP) and adiponectin (ADPN) levels, as well as sphingosine-1-phosphate (S1P) levels in epididymal white adipose tissue (eWAT), were detected by ELISA. Histomorphological changes in eWAT were monitored via HE staining. Flow cytometry was used to analyze macrophage subtype-related indexes in eWAT, including the total proportion of macrophages, the proportion of M1 macrophages, the proportion of M2 macrophages, and the M1/M2 ratio. Antibody array technology was used to determine the levels of differentially expressed inflammatory factors in eWAT between the model and blank groups, as well as between the ETA and model groups. Western blot and qPCR were used to detect the protein and mRNA expression levels of HIF-1α and S1PR3 in the eWAT, respectively. ResultsCompared to the normal group, the model group showed significantly increased body weight, Lee's index, waist circumference, and FBG, TC, TG, HDL-C, LDL-C, AST, and ALT levels, upgraded LEP and S1P levels, decreased ADPN level and ADPN/LEP ratio, elevated proportion of M1 macrophages and the M1/M2 ratio, reduced proportion of M2 macrophages, and upregulated protein and mRNA expression levels of HIF-1α and S1PR3 (P<0.05 or P<0.01). With the exception of HDL-C, all the abovementioned indicators in the ETA group were significantly improved compared to the model group (P<0.05 or P<0.01). Analysis of differentially expressed inflammatory cytokines revealed that, compared to the normal group, the levels of interleukin-1β (IL-1β), interferon-γ (IFN-γ), interleukin-6 (IL-6), and interleukin-12p70 (IL-12p70) in the eWAT of the model group were elevated; conversely, the levels of interleukin-17 (IL-17), interleukin-5 (IL-5), IL-6, and interleukin-23 (IL-23) in the eWAT of the ETA group decreased compared to the model group (P<0.05 or P<0.01). ConclusionETA exerts a weight-reducing effect in obese model mice, and the mechanism may involve inhibition of the HIF-1α/S1P/S1PR3 signaling pathway activation, which shifts macrophage polarization from the M1 to M2 phenotype, thereby alleviating chronic inflammation.
6.Advances in screening and preventive treatment for latent tuberculosis infection in China
XIAO Xiao ; CHEN Bin ; LIU Qiao ; SHEN Xin
Journal of Preventive Medicine 2026;38(5):433-437
Abstract
China has entered a phase of low-to-moderate tuberculosis (TB) prevalence. However, the large population with latent tuberculosis infection (LTBI) remains a key bottleneck to ending the TB epidemic. This paper reviews the policy evolution and current implementation of LTBI screening and preventive therapy in China. It also analyzes the practical challenges in current TB control. China's LTBI control policies have gradually shifted from pilot exploration to the national strategic level. In practice, China has achieved notable progress in several areas. These include independent innovation in screening technology, evidence-based optimization of short-course preventive regimens, and steady expansion of coverage. However, LTBI control still faces multiple challenges. These include low public awareness, limitations in diagnostic technology, poor adherence to preventive therapy, and a weak support system. Based on these findings, we recommend that precise screening, short-course treatment, and systematic support serve as core development directions. These efforts should promote the transition of LTBI control in China from "pilot exploration" to "routine institutional practice".
7.Clinical Diseases Responding Specially to TCM Treatment: Psoriasis
Liu LIU ; Xiaoying SUN ; Mei MO ; Yaqiong ZHOU ; Bin LI ; Xiaoxiao ZHANG ; Xin LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(5):260-268
Psoriasis is a common chronic inflammatory systemic disease in dermatology. Its high prevalence, recurrence rate, and numerous comorbidities impose a significant physical and mental burden on patients. With the continuous advancement of modern medicine, the emergence of biological agents has improved clinical efficacy, making it possible to overcome psoriasis, in addition to classical treatments. However, in clinical practice, adverse reactions, drug resistance, recurrence rates, and immune drift cannot be ignored. Traditional Chinese medicine (TCM) has a history of thousands of years in treating psoriasis, demonstrating good efficacy, high safety, and a low recurrence rate, but a standardized management system is lacking. Therefore, the 25th Clinical Diseases Responding Specially to TCM Treatment Series (Psoriasis) Youth Salon, hosted by the Chinese Association of Chinese Medicine and organized by the Youth Committee of the Chinese Association of Chinese Medicine, invited 29 experts and scholars from TCM, Western medicine, and interdisciplinary fields to actively discuss the "Advantages, Challenges, and Clinical Transformation of TCM and Western Medicine in the Diagnosis and Treatment of Psoriasis". The experts at the meeting concluded that the advantages of TCM in the treatment of psoriasis are as follows. Firstly, in the TCM-led treatment plan, TCM's understanding of psoriasis follows the principle of combining the differentiation of disease and syndrome. This approach distinguishes the basic contradiction from the current main contradiction and enables a clear grasp of the dynamic process of psoriasis development. Based on the system of syndrome differentiation and treatment, TCM intervention is applied to address the current main contradiction, and the optimal TCM treatment plan is formulated by combining internal and external treatments. Adhering to the principle of "what is visible outside must be addressed inside", TCM can prevent and treat psoriasis comorbidities early by differentiating syndrome types. Secondly, in the integrated TCM and Western medicine treatment plan, the combination of both methods not only enhances efficacy but also reduces the adverse reactions of immunosuppressants and biological agents, lowering the recurrence rate. This conference provides a reference for the diagnosis and treatment of psoriasis using TCM and integrated TCM and Western medicine, opening up new ideas for clinical and basic research and guiding future research directions.
8.Structure, content and data standardization of rehabilitation medical records
Yaru YANG ; Zhuoying QIU ; Di CHEN ; Zhongyan WANG ; Meng ZHANG ; Shiyong WU ; Yaoguang ZHANG ; Xiaoxie LIU ; Yanyan YANG ; Bin ZENG ; Mouwang ZHOU ; Yuxiao XIE ; Guangxu XU ; Jiejiao ZHENG ; Mingsheng ZHANG ; Xiangming YE ; Jian YANG ; Na AN ; Yuanjun DONG ; Xiaojia XIN ; Xiangxia REN ; Ye LIU ; Yifan TIAN
Chinese Journal of Rehabilitation Theory and Practice 2025;31(1):21-32
ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.
9.Construction and evaluation of a medium-and long-term prognosis model for severe community-acquired pneumonia based on MIMIC-Ⅳ database
Nan-Li DENG ; Ren-Huai LIU ; Xin CHAI ; Xi-Jing ZHANG ; Bin-Xiao SU
Medical Journal of Chinese People's Liberation Army 2025;50(4):400-408
Objective To explore the risk factors for medium-and long-term mortality in patients with severe community-acquired pneumonia(SCAP)based on the Medical Information Mart for Intensive Care Ⅳ(MIMIC-Ⅳ),construct a prognostic model and evaluate its predictive efficacy.Methods In this retrospective cohort study,1943 SCAP patients from the U.S.MIMIC-Ⅳdatabase(2008-2019)were randomly divided into training(n=1363)and validation(n=580)sets(7:3 ratio).Primary and secondary endpoints were 1-year and 30-/90-day all-cause mortality,respectively.Prognostic factors were selected using LASSO regression and multivariable Cox proportional hazards modeling,and a visual nomogram model was built.Model performance was assessed via C-index,receiver operator characteristic(ROC)curves,and calibration curves,and compared with the CURB-65 score.Risk stratification was validated using Kaplan-Meier analysis.Results The 30-day,90-day,and 1-year all-cause mortality rates for SCAP patients were 25.9%,34.5%,and 42.6%,respectively.Seven independent risk factors were identified:age(HR=1.037),heart rate(HR=1.007),red blood cell distribution width(RDW,HR=1.092),Acute Physiology Score Ⅲ(APS-Ⅲ,HR=1.013),cerebrovascular disease(HR=1.453),liver disease(HR=1.272),and malignancy(HR=2.007).Based on these factors,Cox regression model was constructed and nomogram was drawn,C-indices of training set and validation set were 0.710 and 0.688,respectively.For 1-year mortality prediction,the model achieved superior area under the ROC curve(AUC)values(training set:0.768;validation set:0.738)compared with CURB-65 score(training set:0.648;validation set:0.616).Kaplan-Meier survival analysis revealed significantly worse survival in high-risk group than low-risk group(P<0.0001).Conclusions Age,heart rate,RDW,APS-Ⅲ,cerebrovascular disease,liver disease,and malignant tumor were medium-and long-term mortality risk factors in SCAP patients.The prognostic model constructed based on these factors has high predictive power and provides an important clinical diagnosis and treatment reference.
10.Influence of network latency and bandwidth on robot-assisted laparoscopic telesurgery: A pre-clinical experiment.
Ye WANG ; Qing AI ; Taoping SHI ; Yu GAO ; Bin JIANG ; Wuyi ZHAO ; Chengjun JIANG ; Guojun LIU ; Lifeng ZHANG ; Huaikang LI ; Fan GAO ; Xin MA ; Hongzhao LI ; Xu ZHANG
Chinese Medical Journal 2025;138(3):325-331
BACKGROUND:
Telesurgery has the potential to overcome spatial limitations for surgeons, which depends on surgical robot and the quality of network communication. However, the influence of network latency and bandwidth on telesurgery is not well understood.
METHODS:
A telesurgery system capable of dynamically adjusting image compression ratios in response to bandwidth changes was established between Beijing and Sanya (Hainan province), covering a distance of 3000 km. In total, 108 animal operations, including 12 surgical procedures, were performed. Total latency ranging from 170 ms to 320 ms and bandwidth from 15-20 Mbps to less than 1 Mbps were explored using designed surgical tasks and hemostasis models for renal vein and internal iliac artery rupture bleeding. Network latency, jitter, frame loss, and bit rate code were systemically measured during these operations. National Aeronautics and Space Administration Task Load Index (NASA-TLX) and a self-designed scale measured the workload and subjective perception of surgeons.
RESULTS:
All 108 animal telesurgeries, conducted from January 2023 to June 2023, were performed effectively over a total duration of 3866 min. The operations were completed with latency up to 320 ms and bandwidths as low as 1-5 Mbps. Hemostasis for vein and artery rupture bleeding models was effectively achieved under these low bandwidth conditions. The NASA-TLX results indicated that latency significantly impacted surgical performance more than bandwidth and image clarity reductions.
CONCLUSIONS
This telesurgery system demonstrated safety and reliability. A total of 320 ms latency is acceptable for telesurgery operations. Reducing image clarity can effectively mitigate the potential latency increase caused by decreased bandwidth, offering a new method to reduce the impact of latency on telesurgery.
Animals
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Robotic Surgical Procedures/methods*
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Laparoscopy/methods*


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