1.A Systematic Strategy for Discovering First-in-class Anti-fibrotic Drugs from Traditional Chinese Medicine
Wen HUANG ; Guang XIN ; Sanyin ZHANG ; Tao WANG ; Wei CHEN ; Zeliang WEI ; Qilong ZHOU ; Ke LI ; Dan SUN ; Kui YU ; Shilin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):296-307
Pulmonary fibrosis(PF) is a progressive and life-threatening disease with limited therapeutic options, highlighting the urgent need for innovative drug discovery strategies. To address this challenge, the authors propose the formula-originated rational intelligent screening&translation(FIRST), a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine(TCM). The strategy integrates three key dimensions, including tissue-oriented intelligent screening of active compounds, structural optimization based on drug-target spatial interactions and plant biosynthetic pathways, and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM, the development and mechanistic elucidation of anti-fibrotic therapeutics, as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class, formula-derived monomeric drugs with defined structures, clarified mechanisms, and proven safety, offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.
2.A Systematic Strategy for Discovering First-in-class Anti-fibrotic Drugs from Traditional Chinese Medicine
Wen HUANG ; Guang XIN ; Sanyin ZHANG ; Tao WANG ; Wei CHEN ; Zeliang WEI ; Qilong ZHOU ; Ke LI ; Dan SUN ; Kui YU ; Shilin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):296-307
Pulmonary fibrosis(PF) is a progressive and life-threatening disease with limited therapeutic options, highlighting the urgent need for innovative drug discovery strategies. To address this challenge, the authors propose the formula-originated rational intelligent screening&translation(FIRST), a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine(TCM). The strategy integrates three key dimensions, including tissue-oriented intelligent screening of active compounds, structural optimization based on drug-target spatial interactions and plant biosynthetic pathways, and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM, the development and mechanistic elucidation of anti-fibrotic therapeutics, as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class, formula-derived monomeric drugs with defined structures, clarified mechanisms, and proven safety, offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.
3.Expert consensus on evaluation index system construction for new traditional Chinese medicine(TCM) from TCM clinical practice in medical institutions.
Li LIU ; Lei ZHANG ; Wei-An YUAN ; Zhong-Qi YANG ; Jun-Hua ZHANG ; Bao-He WANG ; Si-Yuan HU ; Zu-Guang YE ; Ling HAN ; Yue-Hua ZHOU ; Zi-Feng YANG ; Rui GAO ; Ming YANG ; Ting WANG ; Jie-Lai XIA ; Shi-Shan YU ; Xiao-Hui FAN ; Hua HUA ; Jia HE ; Yin LU ; Zhong WANG ; Jin-Hui DOU ; Geng LI ; Yu DONG ; Hao YU ; Li-Ping QU ; Jian-Yuan TANG
China Journal of Chinese Materia Medica 2025;50(12):3474-3482
Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards*
;
Humans
;
Consensus
;
Drugs, Chinese Herbal/therapeutic use*
;
Surveys and Questionnaires
4.Recommendation for Forensic Identification Guidelines on Insulin Overdoes
Yu-Hao YUAN ; Zhong-Hao YU ; Jia-Xin ZHANG ; Long-Da MA ; Shu-Quan ZHAO ; Ning-Guo LIU ; Rong-Qi WU ; Biao ZHANG ; Xin-Biao LIAO ; Xin CHEN ; Guang-Long HE ; Yi-Wu ZHOU
Journal of Forensic Medicine 2025;41(2):168-175
Insulin is an important protein hormone that participates in multiple metabolic pathways.Biosynthetic insulin has been widely used in the treatment of type 1 and type 2 diabetes.Currently,the number of reported cases of insulin overdose both at home and abroad is gradually increasing,and insulin homicide is no longer a means of"committing murder without leaving a trace".At present,there are no systematic protocols for the identification of insulin overdose in the field of forensic medi-cine in China.This article introduces the causes,toxicological characteristics,forensic examination,labo-ratory testing methods and indicator reference of insulin overdose.Based on the identification practice and research results and referring to relevant studies on insulin overdose at home and abroad,this pa-per aims to provide recommendations and references for the formulation of forensic identification guide-lines for insulin overdose cases.
5.Application of deep learning techniques in fetal ultrasound standard plane detection
Tian-xiang YU ; Guang-yu BIN ; Shui-cai WU ; Zhu-huang ZHOU
Chinese Medical Equipment Journal 2025;46(5):91-101
Fetal ultrasound standard plane detection was introduced in terms of its importance and problems encountered.The deep learning techniques applied in fetal standard plane detection were reviewed,including transfer learning,modified basic network,hybrid network and multi-task network.The problems encountered by the deep learning techniques during the application were analyzed,and the future research directions were envisioned.[Chinese Medical Equipment Journal,2025,46(5):91-101]
6.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
7.Changes in the body shape and ergonomic compatibility for functional dimensions of desks and chairs for students in Harbin during 2010-2024
Chinese Journal of School Health 2025;46(3):315-320
Objective:
To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs.
Methods:
Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test.
Results:
From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students.
Conclusion
Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.
8.Clinical Safety Monitoring of 3 035 Cases of Juvenile Feilike Mixture After Marketing in Hospital
Jian ZHU ; Zhong WANG ; Jing LIU ; Jun LIU ; Wei YANG ; Yanan YU ; Hongli WU ; Sha ZHOU ; Zhiyu PAN ; Guang WU ; Mengmeng WU ; Zhiwei JING
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):194-200
ObjectiveTo explore the clinical safety of Feilike Mixture (FLK) in the real world. MethodsThe safety of all children who received FLK from 29 institutions in 12 provinces between January 21,2021 and December 25,2021 was evaluated through prospective centralized surveillance and a nested case control study. ResultsA total of 3 035 juveniles were included. There were 29 research centers involved,which are distributed across 12 provinces,including one traditional Chinese medicine (TCM) hospital and 28 general hospitals. The average age among the juveniles was (4.77±3.56) years old,and the average weight was (21.81±12.97) kg. Among them,119 cases (3.92%) of juveniles had a history of allergies. Acute bronchitis was the main diagnosis for juveniles,with 1 656 cases (54.46%). FLK was first used in 2 016 cases (66.43%),and 142 juvenile patients had special dosages,accounting for 4.68%. Among them,92 adverse drug reactions (ADRs) occurred,including 73 cases of gastrointestinal system disorders,10 cases of metabolic and nutritional disorders,eight cases of skin and subcutaneous tissue diseases,two cases of vascular and lymphatic disorders,and one case of systemic diseases and various reactions at the administration site. The manifestations of ADRs were mainly diarrhea,stool discoloration,and vomiting,and no serious ADRs occurred. The results of multi-factor analysis indicated that special dosages (the use of FLK)[odds ratio (OR) of 2.642, 95% confidence interval (CI) of 1.105-6.323],combined administration: spleen aminopeptide (OR of 4.978, 95%CI of 1.200-20.655),and reason for combined administration: anti-infection (OR of 1.814, 95%CI of 1.071-3.075) were the risk factors for ADRs caused by FLK. Conclusion92 ADRs occurred among 3 035 juveniles using FLK. The incidence of ADRs caused by FLK was 3.03%,and the severity was mainly mild or moderate. Generally,the prognosis was favorable after symptomatic treatment such as drug withdrawal or dosage reduction,suggesting that FLK has good clinical safety.
9.Application of deep learning techniques in fetal ultrasound standard plane detection
Tian-xiang YU ; Guang-yu BIN ; Shui-cai WU ; Zhu-huang ZHOU
Chinese Medical Equipment Journal 2025;46(5):91-101
Fetal ultrasound standard plane detection was introduced in terms of its importance and problems encountered.The deep learning techniques applied in fetal standard plane detection were reviewed,including transfer learning,modified basic network,hybrid network and multi-task network.The problems encountered by the deep learning techniques during the application were analyzed,and the future research directions were envisioned.[Chinese Medical Equipment Journal,2025,46(5):91-101]
10.Chemical constituents from Gymnema tingens and their in vitro hypoglycemic activity
Mei-yu LIU ; Xin ZHAN ; Guang-feng LIAO ; Jin-yan ZHANG ; Xin-zhou YANG ; Ru-mei LU
Chinese Traditional Patent Medicine 2025;47(6):1892-1900
AIM To study the chemical constituents from Gymnema tingens Spreng.and their in vitro hypoglycemic activity.METHODS The 70%ethanol extract was isolated and purified by macroporous resin,silica gel,sephadex LH-20,and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical propeties and spectral data.The in vitro hypoglycemic activity was evaluated by glucose uptake test in L6 cells.RESULTS Seventeen compounds were isolated and identified as 7-desoxyneocynapanogenin A(1),glaucogenin(2),cynatratoside A(3),atratcynoside F(4),(+)-lyoniresinol(5),(+)-lyoniresinol 3-O-α-D-rhamnopyranoside-(1→6)-β-D-glucopyranoside(6),fernandoside(7),3,4-dimethoxy-phenyl-1-O-β-D-apiofuranosyl-(1→2)-β-D-glucopyranoside(8),khaephuoside A(9),khaephuoside B(10),3,4,5-trimethoxy-phenyl-O-β-D-glucopyranoside(11),liquiritigenin(12),7,3'-dihydroxy-flavanone-4'-O-β-D-glucopyranoside(13),pinoresinol(14),syringaldehyde(15),(+)-1-hydroxy-pinoresinol-1-β-D-glucopyranoside(16),β-amyrin(17).Compounds 2-5、7、9、10、12、17 could promote the glucose uptake in L6 cells.CONCLUSION Compound 1 is a new compound,and 2-9、11-13、15-17 are isolated from this plant for the first time.Compounds 2-5、7、9、10、12、17 have good hypoglycemic activity.


Result Analysis
Print
Save
E-mail