1.Expert consensus on clinical protocol for treating herpes zoster with fire needling.
Xiaodong WU ; Bin LI ; Baoyan LIU ; Lin HE ; Zhishun LIU ; Shixi HUANG ; Keyi HUI ; Hongxia LIU ; Yuxia CAO ; Shuxin WANG ; Zhe XU ; Cang ZHANG ; Jingsheng ZHAO ; Yali LIU ; Nanqi ZHAO ; Nan DING ; Jing HU
Chinese Acupuncture & Moxibustion 2025;45(12):1825-1832
The expert consensus on the clinical treatment of herpes zoster with fire needling was developed, and the commonly used fire needling treatment scheme verified by clinical research was selected to form a standardized diagnosis and treatment scheme for acute herpes zoster and postherpetic neuralgia (PHN), so as to answer the core problems in clinical application. The consensus focuses on patients with herpes zoster, and forms recommendations for 9 key clinical issues, covering simple fire needling and TCM comprehensive therapy based on fire needling, including fire needling combined with cupping, fire needling combined with Chinese herb, fire needling combined with cupping and Chinese herb, fire needling combined with filiform needling, fire needling combined with moxibustion, and provides specific recommendations and operational guidelines for various therapies.
Humans
;
Herpes Zoster/therapy*
;
Acupuncture Therapy/instrumentation*
;
Consensus
;
Clinical Protocols
2.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*
;
Artificial Intelligence
;
Humans
;
Precision Medicine
;
Decision Support Systems, Clinical
3.Artificial intelligence-enhanced physics-based computational modeling technologies for proteins.
Baoyan LIU ; Shuai LI ; Hao SU ; Xiang SHENG
Chinese Journal of Biotechnology 2025;41(3):917-933
Computational modeling is an invaluable tool for mechanism analysis, directed engineering, and rational design of biological parts, metabolic networks, and even cellular systems. It can provide new technological solutions to address biological challenges at different levels and has become a central focus of research in biomanufacturing. In the computational modeling of proteins, which are the key parts in biological systems, the traditional physics-based methods (computer software and mathematical model) have been widely used to study the physical and chemical processes in the functioning of proteins, and have thus been recognized as a powerful tool for understanding complex biological systems and guiding experimental designs. As the scale of computational modeling continues to expand, traditional modeling techniques face difficulties in balancing computational accuracy and speed. In recent years, the explosive growth of biological data has made it possible to construct high-performance artificial intelligence (AI) models, which brings new opportunities to the computational modeling of proteins, and the AI-enhanced physics-based computational modeling technologies have emerged. This combined strategy not only incorporates the chemical knowledge and established physical principles but also is powerful in data processing and pattern recognition, which greatly improves the computational efficiency and prediction accuracy, as well as possesses stronger interpretation ability, transferability, and robustness. The AI-enhanced physics-based computational modeling technologies have already shown great potential and value in biocatalysis, paving a new way for the future development of biomanufacturing.
Artificial Intelligence
;
Proteins/chemistry*
;
Computer Simulation
;
Software
;
Computational Biology/methods*
4.Value of apparent diffusion coefficient value changes of MR diffusion weighted imaging in predicting the prognosis of primary hepatocellular carcinoma treated with radiofrequency ablation
Baoyan PAN ; Hui LI ; Liyong QI ; Ranqi GUAN
Journal of Practical Radiology 2024;40(4):577-580,585
Objective To explore the value of apparent diffusion coefficient(ADC)values of magnetic resonance diffusion weighted imaging(MR-DWI)in predicting the prognosis of primary hepatocellular carcinoma(HCC)treated by radiofrequency ablation(RFA).Methods A prospective study was conducted on 178 patients with HCC.All patients were treated with RFA and followed up for 1 year after treatment.MR-DWI was performed before RFA and one month after RFA,and the changes in ADC value were calculated.These changes of the cancer in patients with different clinicopathological parameters were compared.The factors affecting the prognosis of HCC patients with RFA,and the value of ADC value changes in predicting the prognosis were analyzed.Results The changes of ADC values in patients with high alpha-fetoprotein,Barcelona clinic live cancer(BCLC)stage C,and poorly differentiated were lower than those in patients with low alpha-fetoprotein,BCLC stage B,and moderately well-differentiated(P<0.05).Six cases were lost to follow-up,and 120 of the remaining 172 patients survived.Cox regression analysis showed that the changes in ADC value,tumor stage and degree of differentiation were independent factors affecting the prognosis of HCC patients with RFA(P<0.05).Receiver operating characteristic(ROC)curve results showed that the best cut-off point,sensitivity,specificity and area under the curve(AUC)of ADC value change in predicting the prognosis of HCC patients with RFA were 0.42×10-3 mm2/s,75.00%,78.33%and 0.801.There were 16 deaths in the high change group of ADC value(>0.42)and 36 deaths in the low change group(≤0.42).The overall survival curve of the high change group of ADC value was better than that of the low change group(P<0.05).Conclusion The change in ADC value of MR-DWI sequence before and after short-term RFA treatment in HCC patients is related to the patient's pathology and prognosis,with a good predictive effect.The low change in ADC value has a higher risk of poor prognosis.
5.Recent advance in risk factors related to restless leg syndrome
Baoyan WANG ; Jie WU ; Duanyang LI ; Ruilin ZHANG ; Rong XUE ; Wei WU
Chinese Journal of Neuromedicine 2024;23(2):208-216
Restless legs syndrome (RLS) is a common sensorimotor disorder. Although it does not pose a threat to life, it seriously affects the quality of life of patients. RLS pathogenesis is still unclear, and its incidence is associated with a variety of risk factors, including genetic factors and non-genetic factors. Genetic factors involve more than 20 risk genes, such as meis homeobox 1 ( MEIS1), BTB domain containing 9 ( BTBD9), mitogen-activated protein kinase kinase 5 ( MAP2K5), and protein tyrosine phosphatase receptor type Db ( PTPRD). Non-genetic factors include regional age, gender, obesity, medical related diseases, neuropsychiatric diseases and drugs. This paper reviews the recent advance in risk factors and related pathogenesis of RLS to provide references for early prevention and treatment of the disease.
6.SEPT12 gene mutation leads to asthenospermia and male infertility
Senzhao GUO ; Hui YU ; Meng GU ; Baoyan WU ; Kuokuo LI ; Dongdong TANG ; Xiaojin HE ; Yunxia CAO ; Mingrong LV
Acta Universitatis Medicinalis Anhui 2024;59(6):939-946
Objective To investigate the role of member septin family(SEPT12)in human spermatogenesis and its influence on sperm motility and sperm ultrastructure.Methods Whole exome sequencing(WES)was performed on peripheral blood DNA extracted from 375 patients with asthenoteratozoospermia,and a patient with idiopathic in-fertility carrying compound heterozygous mutation of SEPT12 was screened out.Sanger sequencing was performed to verify the mutation,and co-segregation analysis was performed in the family.The morphological abnormalities of sperm were analyzed by hematoxylin-eosin(HE)staining and scanning electron microscopy(SEM),and the ultra-structural defects of sperm were analyzed by transmission electron microscopy(TEM).Then the effects of the muta-tion on the level and position of the protein and the changes of the location and level of the defect structure markers were analyzed by Western blot and immune-fluorescence(IF).Results The compound heterozygous mutations c.C332A(p.Ti111K)and c.406_416 del TGCTCGTATTG(p.q136 VFS*39)in the SEPT12 gene were screened and identified in a patient with asthenoteratozoospermia.The mutations were verified by Sanger sequencing,which was consistent with the co-segregation genetic pattern of the family.The mutations resulted in loss of protein expres-sion,decreased sperm motility and sperm morphological deformities,mainly including short tail,curly tail and ir-regular sperm head.The ultrastructure of sperm showed that the annulus between the mid-piece and the principle-piece was missing,the acrosome membrane of sperm head fell off and the nucleus contained vacuoles.In the mid-piece of sperm flagella,the arrangement of mitochondrial sheath was disordered,most of flagella axoneme central pair was absent,microtubules doublet was missing or disordered,and some radical spoke was absent.By Western blot and IF,the marker proteins of related structural components were detected,and the results showed that the level of SEPT4 protein decreased,SEPT6 protein unchanged,acrosomal related proteins ACTL7A and ACROSIN protein missing,and the expression levels of mitochondrial and axoneme related proteins TOMM20,SPAG6 and RSPH3 protein significantly decreased.Conclusion The deletion of SEPT12 protein caused by SEPT12 gene mu-tation leads to the deletion of the annulus between the mid-piece and the principle-piece,and the abnormal assem-bly of sperm acrosome,mitochondrial sheath and flagella.
7.Efficacy and Safety of Different Dual Antithrombotic Therapies in Patients with Lower Extremity Arteriosclerosis Obliterans
Zhou HAN ; Yepeng ZHANG ; Huanyu NI ; Xiaoqiang LI ; Baoyan WANG
Herald of Medicine 2024;43(12):1991-1996
Objective To explore the efficacy and safety of different antiplatelet drugs combined with rivaroxaban in patients with lower extremity arteriosclerosis obliterans.Methods The clinical data of patients with lower extremity arteriosclerosis obliterans who were symptomatic and underwent surgical treatment at the Vascular Surgery Department of Nanjing Drum Tower Hospital from January 2018 to December 2021 were retrospectively analyzed.According to the different antiplatelet medications taken by patients,patients were categorized into aspirin group,clopidogrel group and cilostazol group.Baseline data of patients were collected,and patients were followed up and the incidence of major adverse cardiovascular events,major adverse limb events,major bleeding and clinically related non-major bleeding events were compared in different groups.Results A total of 632 patients were included in the study.There was no significant difference in the incidence of major adverse cardiovascular events,major adverse limb events,major bleeding and clinically related non-major bleeding events after the baseline data was balanced by inverse probability of treatment weighting.The results of subgroup analysis were generally consistent with those of the overall study.Conclusion The combination of clopidogrel or cilostazol with rivaroxaban may serve as a novel option for dual antithrombotic therapy in patients diagnosed with lower extremity arteriosclerotic obliterans.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.Clinical phenotype and genetic characteristics of a family with mitochondrial DNA depletion syndrome 8B caused by RRM2B gene mutation
Baoyan LI ; Xia LI ; Li YANG ; Xin ZHANG ; Yufen LI ; Yuzeng HAN
Chinese Journal of Neuromedicine 2024;23(10):999-1005
Objective:To investigate the clinical phenotype and genetic characteristics of a family with mitochondrial DNA depletion syndrome (MTDPS8B) caused by RRM2B gene mutation. Methods:Data of a family with MTDPS8B admitted to Department of Pediatric Neurology, Linyi People's Hospital in November 2019 were collected. Whole exome sequencing, mitochondrial loop gene sequencing and Sanger sequencing were used for genetic test in the child and family members, and pathogenicity analysis and protein 3D modeling on the mutation sites were conducted. The clinical phenotype and genetic characteristics of the family members were summarized.Results:Six subjects in these 8 individuals from the three generations of this family underwent genetic test. Four subjects had c.627G>A(p.M209I) (NM_001172477) heterozygous variation in RRM2B gene on the chromosome 8, and the variation was highly conserved; and no report on this variation has been found in domestic and foreign databases yet. Protein 3D modeling found that this variation may affect protein stability and function. The proband (male) and two older sisters carried the same variant had MTDPS8B, manifested as gastrointestinal dysfunction and progressive decline in motor function and intelligence, while the mother carried the same variant only had intellectual disability; the father and eldest sister did not carry the mutation and had normal clinical phenotype; the maternal grandparents had normal clinical phenotype and had passed away without genetic test; variation and disease were isolated in this family. The variation was interpreted as pathogenic (PM1+PM2+PP1+PP3) according to the American College of Medical Genetics and Genomics variant classification criteria and guidelines. Conclusion:The c.627G>A variant can cause RRM2B gene-related disease, and family members carried the same variants vary in clinical severity.
10.Interpretation of the Concept of Traditional Chinese Medicine Diagnosis and Treatment by Systems Science Methods
Wenjing XU ; Baoyan LIU ; Aotian YU ; Pengwei LI
World Science and Technology-Modernization of Traditional Chinese Medicine 2023;25(11):3548-3553
The frontier of science and technology has widely entered the era of studying complexity and regulating complex systems.Especially in medicine,research on the complexity of the human system will attract more scholars'and clinicians'attention.Facing the complexity of the human body system directly,this paper applied the definition of complexity,state estimation,and system control models in modern system science to reveal the unique advantages of traditional Chinese medicine(TCM)in understanding human body complexity and regulating human body complex systems.Thus,this paper may not only lay a foundation for dealing with complex diseases in the future but also provides new ideas and methods for forming the future medical model.


Result Analysis
Print
Save
E-mail