1.Artificial intelligence in traditional Chinese medicine: from systems biological mechanism discovery, real-world clinical evidence inference to personalized clinical decision support.
Dengying YAN ; Qiguang ZHENG ; Kai CHANG ; Rui HUA ; Yiming LIU ; Jingyan XUE ; Zixin SHU ; Yunhui HU ; Pengcheng YANG ; Yu WEI ; Jidong LANG ; Haibin YU ; Xiaodong LI ; Runshun ZHANG ; Wenjia WANG ; Baoyan LIU ; Xuezhong ZHOU
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1310-1328
Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods*
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Artificial Intelligence
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Humans
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Precision Medicine
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Decision Support Systems, Clinical
2.Correlation of MET Status with Clinicopathological Features and Prognosis of Advanced Prostatic Acinar Adenocarcinoma
Weiying HE ; Wenjia SUN ; Huiyu LI ; Yanggeling ZHANG ; De WU ; Chunxia AO ; Jincheng WANG ; Yanan YANG ; Xuexue XIAO ; Luyao ZHANG ; Xiyuan WANG ; Junqiu YUE
Cancer Research on Prevention and Treatment 2025;52(8):698-704
Objective To explore the correlation of MET status in patients with advanced prostatic acinar adenocarcinoma with the clinical pathological parameters and prognosis. Methods The specimen from 135 patients with advanced prostatic acinar adenocarcinoma was included. The expression of c-MET protein was detected via immunohistochemistry, and MET gene amplification was assessed by fluorescence in situ hybridization. The relationships of c-MET expression and gene amplification with clinicopathological features and prognosis were analyzed. Results The positive expression rate of c-MET was 52.60% (71/135). Compared with the c-MET expression in adjacent tissues, that in tumor tissues showed lower heterogeneous expression. Among the cases, 1.71% (2/117) exhibited MET gene polyploidy, but no gene amplification was detected. Positive c-MET expression was significantly correlated with high Gleason scores and grade groups (P=
3.Efficacy of alpha-lipoic acid in patients with ischemic heart failure: a randomized, double-blind, placebo-controlled study
Hanchuan CHEN ; Qin YU ; Yamei XU ; Chen LIU ; Jing SUN ; Jingjing ZHAO ; Wenjia LI ; Kai HU ; Junbo GE ; Aijun SUN
Chinese Journal of Clinical Medicine 2025;32(4):717-719
Objective To explore the safety and effects of alpha-lipoic acid (ALA) in patients with ischemic heart failure (IHF). Methods A randomized, double-blind, placebo-controlled trial was designed (ClinicalTrial.gov registration number NCT03491969). From January 2019 to January 2023, 300 patients with IHF were enrolled in four medical centers in China, and were randomly assigned at a 1∶1 ratio to receive ALA (600 mg daily) or placebo on top of standard care for 24 months. The primary outcome was the composite outcome of hospitalization for heart failure (HF) or all-cause mortality events. The second outcome included non-fatal myocardial infarction (MI), non-fatal stroke, changes of left ventricular ejection fraction (LVEF) and 6-minute walking distance (6MWD) from baseline to 24 months after randomization. Results Finally, 138 patients of the ALA group and 139 patients of the placebo group attained the primary outcome. Hospitalization for HF or all-cause mortality events occurred in 32 patients (23.2%) of the ALA group and in 40 patients (28.8%) of the placebo group (HR=0.753, 95%CI 0.473-1.198, P=0.231; Figure 1A-1C). The absolute risk reduction (ARR) was 5.6%, the relative risk reduction (RRR) associated with ALA therapy was approximately 19.4% compared to placebo, corresponding to a number needed to treat (NNT) of 18 patients to prevent one event. In the secondary outcome analysis, the composite outcome of the major adverse cardiovascular events (MACE) including the hospitalization for HF, all-cause mortality events, non-fatal MI or non-fatal stroke occurred in 35 patients (25.4%) in the ALA group and 47 patients (33.8%) in the placebo group (HR=0.685, 95%CI 0.442-1.062, P=0.091; Figure 1D). Moreover, greater improvement in LVEF (β=3.20, 95%CI 1.14-5.23, P=0.002) and 6MWD (β=31.7, 95%CI 8.3-54.7, P=0.008) from baseline to 24 months after randomization were observed in the ALA group as compared to the placebo group. There were no differences in adverse events between the study groups. Conclusions These results show potential long-term beneficial effects of adding ALA to IHF patients. ALA could significantly improve LVEF and 6MWD compared to the placebo group in IHF patients.
4.Inhibition of interferon regulatory factor 4 orchestrates T cell dysfunction, extending mouse cardiac allograft survival.
Wenjia YUAN ; Hedong ZHANG ; Longkai PENG ; Chao CHEN ; Chen FENG ; Zhouqi TANG ; Pengcheng CUI ; Yaguang LI ; Tengfang LI ; Xia QIU ; Yan CUI ; Yinqi ZENG ; Jiadi LUO ; Xubiao XIE ; Yong GUO ; Xin JIANG ; Helong DAI
Chinese Medical Journal 2025;138(10):1202-1212
BACKGROUND:
T cell dysfunction, which includes exhaustion, anergy, and senescence, is a distinct T cell differentiation state that occurs after antigen exposure. Although T cell dysfunction has been a cornerstone of cancer immunotherapy, its potential in transplant research, while not yet as extensively explored, is attracting growing interest. Interferon regulatory factor 4 (IRF4) has been shown to play a pivotal role in inducing T cell dysfunction.
METHODS:
A novel ultra-low-dose combination of Trametinib and Rapamycin, targeting IRF4 inhibition, was employed to investigate T cell proliferation, apoptosis, cytokine secretion, expression of T-cell dysfunction-associated molecules, effects of mitogen-activated protein kinase (MAPK) and mammalian target of rapamycin (mTOR) signaling pathways, and allograft survival in both in vitro and BALB/c to C57BL/6 mouse cardiac transplantation models.
RESULTS:
In vitro , blockade of IRF4 in T cells effectively inhibited T cell proliferation, increased apoptosis, and significantly upregulated the expression of programmed cell death protein 1 (PD-1), Helios, CD160, and cytotoxic T lymphocyte-associated antigen (CTLA-4), markers of T cell dysfunction. Furthermore, it suppressed the secretion of pro-inflammatory cytokines interferon (IFN)-γ and interleukin (IL)-17. Combining ultra-low-dose Trametinib (0.1 mg·kg -1 ·day -1 ) and Rapamycin (0.1 mg·kg -1 ·day -1 ) demonstrably extended graft survival, with 4 out of 5 mice exceeding 100 days post-transplantation. Moreover, analysis of grafts at day 7 confirmed sustained IFN regulatory factor 4 (IRF4) inhibition, enhanced PD-1 expression, and suppressed IFN-γ secretion, reinforcing the in vivo efficacy of this IRF4-targeting approach. The combination of Trametinib and Rapamycin synergistically inhibited the MAPK and mTOR signaling network, leading to a more pronounced suppression of IRF4 expression.
CONCLUSIONS
Targeting IRF4, a key regulator of T cell dysfunction, presents a promising avenue for inducing transplant immune tolerance. In this study, we demonstrate that a novel ultra-low-dose combination of Trametinib and Rapamycin synergistically suppresses the MAPK and mTOR signaling network, leading to profound IRF4 inhibition, promoting allograft acceptance, and offering a potential new therapeutic strategy for improved transplant outcomes. However, further research is necessary to elucidate the underlying pharmacological mechanisms and facilitate translation to clinical practice.
Animals
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Mice
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Mice, Inbred BALB C
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Mice, Inbred C57BL
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Interferon Regulatory Factors/metabolism*
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Heart Transplantation/methods*
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T-Lymphocytes/immunology*
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Sirolimus/therapeutic use*
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Pyridones/therapeutic use*
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Graft Survival/drug effects*
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Pyrimidinones/therapeutic use*
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Cell Proliferation/drug effects*
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Apoptosis/drug effects*
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Male
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Signal Transduction/drug effects*
5.Value of three dimensional high-resolution vessel wall magnetic resonance imaging in identifying culprit plaques in non-stenotic intracranial atherosclerosis of posterior circulation
Shuai LI ; Yun JIN ; Xia TIAN ; Xuefeng ZHANG ; Wenjia PENG ; Bing TIAN
Academic Journal of Naval Medical University 2025;46(6):728-734
Objective To employ three dimensional high-resolution vessel wall magnetic resonance imaging(3D hr-VW-MRI)for analyzing the imaging characteristics of posterior circulation non-stenotic intracranial atherosclerotic plaque and to discuss its diagnostic value in identifying culprit plaques.Methods Ninety-three patients(age[62.94±9.70]years old,67 males,26 females)with non-stenotic atherosclerosis in our hospital from Jan.2019 to Jan.2021 were retrospectively recruited.The imaging features of plaques,including luminal area,maximum wall thickness and minimum wall thickness at the most stenotic site,stenosis rate,plaque burden,remodeling index,eccentricity index,enhancement ratio at the most stenotic site,and intraplaque hemorrhage,were measured based on T1-weighted imaging(T1WI)and contrast-enhanced T1WI.The culprit plaque was defined as a lesion arising from the responsible vascular supply area to a fresh infarction on the diffusion weighted imaging(DWI)and T2 fluid attenuated inversion recovery(T2-FLAIR)images with accompanying ischemic stroke/transient ischemic attack(TIA).A plaque was considered to be a nonculprit plaque when it occurred in patients with presumed ischemic stroke/TIA,but without an infarct on DWI and T2-FLAIR.Results Sixty-one culprit plaques and 32 non-culprit plaques were analyzed.The proportions of patients with hyperlipidemia,National Institutes of Health stroke scale(NIHSS)score,narrowest plaque enhancement rate,and incidence of intraplaque hemorrhage in the culprit plaque group were significantly higher than those in the non-culprit plaque group(all P<0.05).Multivariate logistic regression analyses showed that NIHSS score(odds ratio[OR]=1.799,95%confidence interval[CI]1.303-2.484,P<0.001),enhancement ratio(OR=1.076,95%CI 1.027-1.128,P=0.002)and intraplaque hemorrhage(OR=30.708,95%CI 2.563-367.925,P=0.007)were associated with plaque type.Conclusion NIHSS score,enhancement ratio at the most stenotic site,and intraplaque hemorrhage are independent risk factors for culprit plaques in patients with posterior circulation non-stenotic intracranial atherosclerotic disease.These indicators may help identify such culprit plaques and could be used to screen individuals with plaques having these characteristics,thereby providing a basis for early preventive interventions.
6.Analysis on the medication rule of Yuan Jinsheng in the treatment of stable angina pectoris of coronary heart disease based on R language
Jin YANG ; Wenjia WANG ; Hua SHU ; Zhengsheng LI ; Qian WANG ; Rong HU ; Min XIE ; Jinsheng YUAN
International Journal of Traditional Chinese Medicine 2025;47(3):394-400
Objective:To summarize the medication law and academic experience of Professor Yuan Jinsheng in the treatment of angina pectoris (AP) of coronary heart disease (CHD) through R language data mining technique.Methods:The effective outpatient medical records of Professor Yuan Jinsheng in the treatment of AP of CHD from January 1, 2016 to September 30, 2023 were selected, and the R 4.2.3 was used for frequency statistics, association rule analysis, systematic clustering analysis and correlation analysis of prescription drugs.Results:A total of 292 prescriptions were included, including 268 patients, involving 204 kinds of Chinese materia medica, and the total frequency of Chinese materia medica was 4 253 times. The main properties were warm and neutral, the main tastes were bitter, pungent and sweet, and the main meridians were spleen, lung and liver meridians. The analysis of association rules obtained 125 core TCM combinations, and the commonly used drug pair was Trichosanthis Fructus-Aurantii Fructus Immaturus. The core prescription composed of Aurantii Fructus Immaturus, Chuanxiong Rhizoma, Trichosanthis Fructus, Citri Reticulatae Pericarpium and Salviea Miltiorrhizae Radix et Rhizoma. Seven TCM groups of were obtained by systematic clustering analysis. Correlation analysis showed that the drug pairs with phi coefficient greater than 0.6 were in 8 groups.Conclusions:Studies suggest that AP of CHD is located in the heart, which is related to lung, spleen, liver and kidney, deficiency in root and excess in superficiality, phlegm, blood stasis and qi stagnation are important pathological factors. The treatment is based on the basic principles of tonifying qi, promoting yang, relieving rheumatism, resolving phlegm, activating blood circulation, and promoting qi circulation. It embodies Professor Yuan's academic thoughts and principles of differentiation and treatments of "taking fluency as the main point, regulating the five internal organs and weighing the root and superficiality".
7.Textual studies of domestic long-term care nursing workforce policies from the perspective of policy tools
Yuhan ZHU ; Wenjia LI ; Xuehua ZHU
Chinese Journal of Nursing 2025;60(6):729-735
Objective To explore the status quo of domestic long-term care nursing team construction policy in January 2008—June 2024,analyze the favored direction and structure proportion of existing policy tools,so as to provide references for the follow-up policy and system optimization.Methods Based on McDonnell & Elmore policy tools and construction elements to two-dimensional analysis framework,the coding policy arrangement and quantitative analysis were conducted on the related policies of long-term care nursing team construction.Results Finally,63 policy documents were included,and the 355 pieces of policy were analyzed.In the policy instrument dimension,the proportions of mandate tools,incentive tools,capacity building tools,authority reorganization tools,and counseling tools were 48.45%,11.55%,5.35%,11.27%,and 23.38%,respectively.Team-building dimension in the post management,education training,rights management,post employment,professional development,respectively accounted for 27.04%,22.25%,11.27%,10.70%and 28.73%.Conclusion At present,there is uneven application of the policy tools related to nursing team building in the context of long-term care in China,and most of the entries are for goal planning.It is recommended that the ratio of the various policy tools should be optimised continuously,so as to ensure that the details of the policies are effectively implemented.The construction of the long-term care nursing team system needs to be improved,and the protection of the rights of nursing staff needs to be strengthened;specific,feasible,special and targeted strategies should be formulated.
8.Research progress in antibiotic detection based on nucleic acid sensors
Wenjia NIU ; Tieqiang SUN ; Gaofang CAO ; Zhiqiang SHEN ; Chao LI
Military Medical Sciences 2025;49(7):535-541
With the increasing abuse of antibiotics,the development of rapid,accurate and sensitive methods for antibiotic detection has become critical.Nucleic acid sensors as new biosensors have shown great potential in the field of antibiotic detection due to their high selectivity,high sensitivity and real-time monitoring ability.This paper reviews the research progress in antibiotic detection based on nucleic acid sensors,including colorimetric,optical and electrochemical nucleic acid sensors,in the hope of providing a reference for the research and development of new types of antibiotic detection technologies based on nucleic acid sensors.
9.The application status, challenges and prospects of artificial intelligence in communicable diseases prevention and control of health facilities in China
Wenjia ZHAO ; Huilai MA ; Wenshang HU ; Yanfang GAO ; Jie LI ; Zihan LI ; Xinyu LIU ; Yu BING ; Yuehua HU ; Chengdong XU
Chinese Journal of Preventive Medicine 2025;59(8):1328-1339
This study examines the progress and application of Artificial Intelligence (AI) in the prevention and control of infectious diseases within Chinese healthcare institutions. It analyzes the difficulties and challenges encountered during implementation to promote the intelligent transformation and upgrading of infectious disease prevention and control. The results indicate that AI technology has made progress in areas such as infectious disease surveillance and early warning, risk assessment and emergency response, screening and detection, image-based diagnosis and analysis, and health management. Nevertheless, significant challenges remain, including limited application depth and breadth, issues with data quality and privacy protection, insufficient technological maturity and interpretability, potential legal risks, and a shortage of interdisciplinary professionals. To advance the application of AI technology in infectious disease prevention and control and support the modernization of China′s relevant systems, recommendations include strengthening policy support, establishing data standards and robust privacy protection mechanisms, increasing R&D investment, refining laws and regulations, and enhancing the training of interdisciplinary talent.
10.Current status of human immunodeficiency virus testing and residual risk in 17 provincial blood centers in China from 2015 to 2024
Siqi WU ; Ying LIU ; Shuo ZHANG ; Yujun LI ; Binbin ZOU ; Lin WANG ; Fei TANG ; Weiping FENG ; Yanhong WAN ; Yanyan LIU ; Ying LI ; Chen XIAO ; Tao WEN ; Hanshi GONG ; Shan FU ; Wenjia HU ; Yan QIU
Chinese Journal of Infectious Diseases 2025;43(10):590-598
Objective:To analyze the human immunodeficiency virus (HIV) screening status and the resulting residual risk (RR) among blood donors across 17 provincial blood centers in China.Methods:This study used a cross-sectional study. Data on HIV infection markers per 100 000 first-time donors (FD) and repeat donors (RD) from January 2015 to December 2024 were extracted from the National Blood Establishment Performance Comparison Information Management System. Questionnaires were used to collect each center′s HIV screening strategy, algorithm, serological test (ST) kit manufacturers, gray-zone setting for ST, and nucleic acid test (NAT) modality, method, and platform. The incidence-window-period model was used to calculate the residual risk for first-time donors (RR FD), repeat donors (RR RD), and total donors (RR TD) at each center. Horizontal and vertical analysis of RR FD, RR RD, and RR TD across centers and years were performed. Results:All 17 centers applied the same HIV screening strategy which was two rounds of ST followed by one round of NAT. Eight of them operated a single screening algorithm, six employed two algorithms and three used three. Eleven centers used both imported and domestic ST kits, five relied on domestic ST kits only, and one used imported ST kits only, while four centers never set a grey zone for ST throughout the decade. For NAT modalities, eight centers adopted both individual nucleic acid test (ID-NAT) and minipool nucleic acid test (MP-NAT), eight used MP-NAT only and one used ID-NAT only. Seven centers combined transcription mediated amplification (TMA) and polymerase chain reaction (PCR), nine used PCR only and one used TMA only, and fourteen centers ran both imported and domestic NAT systems, two used imported systems only and one used a domestic system only. Over the ten-year period, the mean RR FD across the centers ranged from 2.22 to 12.33 per 10 6 person-years, RR RD from 0.83 to 3.29 per 10 6 person-years and RR TD from 1.59 to 9.29 per 10 6 person-years, with center Z4 consistently showing the lowest values for all three metrics and center U4 recording the highest RR FD and RR TD, while center D2 had the highest RR RD. In 2024 compared with 2015, eleven centers achieved a lower RR FD and ten centers achieved lower RR RD and RR TD. The RR FD and RR TD of centers W2 and U4 displayed pronounced fluctuations and an upward trend in recent years. Conclusions:The 17 provincial blood centers maintain consistent HIV screening strategies, while demonstrating variations in screening algorithm, ST kit manufacturers, NAT modalities, methods, and platform. And the RR FD, RR RD, and RR TD differ across centers. Although most centers show declining trend in RR over the ten-year period, some centers exhibite data fluctuations with a rising trend, suggesting potential for further optimization of HIV screening protocols.

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