1.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.
2.Problems and suggestions for minor purchasing of medical equipment
Xian-ju YUAN ; Fei-ba CHANG ; Yong CHEN ; Cheng-qun MA ; Jia TAN ; Xi GUO ; Jin-chuan HAN
Chinese Medical Equipment Journal 2025;46(8):91-95
The minor purchasing process and mode of some hospital were introduced,and the implementation of the hospital's minor purchasing projects in the past year was analyzed.The causes for high failure rate of purchasing were pointed out including long interval between project creation and procurement,unreasonable demand presentation,insufficient demand demonstration and lack of active participation of suppliers.Some suggestions were put forward such as timely adjustment of demands,strengthening of demand demonstration,improvement of supplier motivation and enhancement of procurement process management,which were of great significance for increasing the success rate of minor purchasing of the hospital.[Chinese Medical Equipment Journal,2025,46(8):91-95]
3.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.
4.Problems and suggestions for minor purchasing of medical equipment
Xian-ju YUAN ; Fei-ba CHANG ; Yong CHEN ; Cheng-qun MA ; Jia TAN ; Xi GUO ; Jin-chuan HAN
Chinese Medical Equipment Journal 2025;46(8):91-95
The minor purchasing process and mode of some hospital were introduced,and the implementation of the hospital's minor purchasing projects in the past year was analyzed.The causes for high failure rate of purchasing were pointed out including long interval between project creation and procurement,unreasonable demand presentation,insufficient demand demonstration and lack of active participation of suppliers.Some suggestions were put forward such as timely adjustment of demands,strengthening of demand demonstration,improvement of supplier motivation and enhancement of procurement process management,which were of great significance for increasing the success rate of minor purchasing of the hospital.[Chinese Medical Equipment Journal,2025,46(8):91-95]
5.Clinicopathological Features and Long-Term Prognostic Role of Human Epidermal Growth Factor Receptor-2 Low Expression in Chinese Patients with Early Breast Cancer:A Single-Institution Study
Qing Zi KONG ; Qun Li LIU ; Qin De HUANG ; Tong Yu WANG ; Jie Jing LI ; Zheng ZHANG ; Xi Xi WANG ; Ling Chuan LIU ; Di Ya ZHANG ; Kang Jia SHAO ; Min Yi ZHU ; Meng Yi CHEN ; Mei LIU ; Hong Wei ZHAO
Biomedical and Environmental Sciences 2024;37(5):457-470
Objective This study aimed to comprehensively analyze and compare the clinicopathological features and prognosis of Chinese patients with human epidermal growth factor receptor 2(HER2)-low early breast cancer(BC)and HER2-IHC0 BC. Methods Patients diagnosed with HER2-negative BC(N=999)at our institution between January 2011 and December 2015 formed our study population.Clinicopathological characteristics,association between estrogen receptor(ER)expression and HER2-low,and evolution of HER2 immunohistochemical(IHC)score were assessed.Kaplan-Meier method and log-rank test were used to compare the long-term survival outcomes(5-year follow-up)between the HER2-IHC0 and HER2-low groups. Results HER2-low BC group tended to demonstrate high expression of ER and more progesterone receptor(PgR)positivity than HER2-IHC0 BC group(P<0.001).The rate of HER2-low status increased with increasing ER expression levels(Mantel-Haenszel χ2 test,P<0.001,Pearson's R=0.159,P<0.001).Survival analysis revealed a significantly longer overall survival(OS)in HER2-low BC group than in HER2-IHC0 group(P=0.007)in the whole cohort and the hormone receptor(HR)-negative group.There were no significant differences between the two groups in terms of disease-free survival(DFS).The discordance rate of HER2 IHC scores between primary and metastatic sites was 36.84%. Conclusion HER2-low BC may not be regarded as a unique BC group in this population-based study due to similar clinicopathological features and prognostic roles.
6.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.
7.Research Progress in Treatment of Chemical Liver Injury with Chinese Medicine Based on Metabolomics
Lin-jing WU ; Xue-chun YU ; Jia-qun KE ; Si-yu DENG ; Cong HU ; Yin-hua XIONG ; Xi-lan TANG
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(12):202-215
Liver, as a critical organ of metabolism and detoxification, can be damaged by viral infection, drug abuse, and heavy drinking. Liver diseases pose a serious threat to people's health and life in China.At present, drug therapy has been primarily adopted clinically in the treatment of the liver injury.In-depth investigation of the mechanism of liver-protective drugs is of great significance to the prevention and treatment of clinical liver diseases.In recent years, with the development of the medical industry in China, an increasing number of studies have focused on the treatment of liver injury with Chinese medicine.Compared with western medicine, Chinese medicine is advantageous in few side effects and overall regulation, which plays a pivotal role in liver protection.However, its underlying mechanism in liver protection still needs to be further studied due to its complex compositions and diverse targets.Metabolomics, a new approach to studying the metabolic pathway of biological systems, provides integral and systematic views in the investigation of liver protection with Chinese medicine. By virtue of metabolomics, the mechanism of Chinese medicine in multi-target and multi-pathway liver protection can be analyzed comprehensively, and the corresponding biomarkers can also be screened out. The authors analyzed the studies of the treatment of chemical liver injury models induced by carbon tetrachloride (CCl4), dimethylnitrosamine (DMN),
8. Interpretation of Prescription and Syndrome of Yangjing Zhongyu Tang and Its Modern Research Progress
Jun-ping ZHU ; Jia-ming WEI ; Rui-lian LIU ; Hui-hui LIANG ; Yan MAO ; Wen WEN ; Ge YU ; Yi-qun ZHOU ; Fu-yuan HE ; Wen-long LIU ; Xi-li ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2019;25(23):209-214
Yangjing Zhongyu Tang, from FU Qing-zhu Nvke, is a famous classical formula of clinical value for treating blood deficiency syndrome of female infertility in the Qing dynasty. The prescription seems plain, but it is rigorous and effective with high research value. In this paper, the ancient books and modern documents of Yangjing Zhongyu Tang were analyzed from the aspects of traceability of Chinese materia medica in the formula, pharmacological research, clinical research, etc. It could be concluded that the pharmacological studies of this formula were mostly to investigate the mechanism and efficacy of its treatment for infertility, but there was a lack of comprehensive interpretation of the structure, function and principle of pharmacodynamic substance in this formula. In this paper, combined with the contents of supramolecular imprinting template and network pharmacology, the new direction of pharmacological research of Chinese medicine compound was put forward. Quality control of Yangjing Zhongyu Tang mostly based on small molecule compounds, so it was suggested to break the inherent thinking, and increase the detection of macromolecule compounds and supramolecular of Chinese materia medica. The druggability of this formula involved in the preliminary study of decoctions, plasters and granules. Considering the quality stability of Chinese materia medica in the formula and the scientificity of druggability of this formula, the compatibility principle of traditional Chinese medicine (TCM) and modern supramolecular chemistry theory could be combined to study the change law of druggability of TCM before and after compatibility, so as to provide new reference materials for the follow-up clinical application and development of Yangjing Zhongyu Tang.
9. Analysis on “Point-line-surface” Quality Standard of Yangjing Zhongyu Tang
Jun-ping ZHU ; Jia-ming WEI ; Rui-lian LIU ; Hui-hui LIANG ; Ge YU ; Wen WEN ; Yan MAO ; Yi-qun ZHOU ; Wen-long LIU ; Fu-yuan HE ; Xi-li ZHANG ; Long LI
Chinese Journal of Experimental Traditional Medical Formulae 2019;25(21):12-18
Objective: Based on the analysis of the total components of fingerprint and the determination methods of the existing components in the 2015 edition of Chinese Pharmacopoeia, the "point-line-surface" quality standard of Yangjing Zhongyu Tang was established by the "point" of each single component (morroniside, loganin, paeoniflorin, ferulic acid and verbascoside) to the "line" of multicomponent and the "face" of fingerprint of the whole component. Method: XB-C18 column (4.6 mm×250 mm, 5 μm) was used for gradient elution of 0.1% phosphoric acid aqueous solution-acetonitrile. The column temperature was 30℃, the injection volume was 10 μL, the flow rate was 1.0 mL·min-1, and the detection wavelengths were 240, 316, 230, 334 nm. The contents of these five components in Yangjing Zhongyu Tang were determined by three correction methods, external standard method and regression equation method. At the same time, the fingerprint of Yangjing Zhongyu Tang were analyzed by total component analysis and similarity evaluation. Result: With ferulic acid as reference, the relative correction factor (f) of morroniside, loganin, paeoniflorin and verbascoside were 0.392 1, 0.421 4, 0.261 7, 0.268 6 by multi-point correction method, and their f (slope correction method) were 0.385 4, 0.419 4, 0.255 9, 0.274 0, respectively. Twenty characteristic peaks of fingerprint were analyzed and the similarity was ≥ 0.999.There was no significant difference in the contents of these five components from Yangjing Zhongyu Tang determined by the quantitative assay of multi-components by single-marker (QAMS) correction method, the external standard method and the regression equation method. Conclusion: The comprehensive quality standard established by the total component analysis of fingerprint combined with various determination methods of existing components in the 2015 edition of Chinese Pharmacopoeia has been validated in famous classical formula of Yangjing Zhongyu Tang, which can provide ideas and methods for the quality control with quantitative determination and fingerprint of other famous classical formulas.
10.Measurement Uncertainty Assessment for Determination of Allura Red in Puffed Food by HPLC
Ying CHEN ; Yun ZHAO ; Hua-Ming WANG ; Qing WANG ; Xi CHEN ; Dong-Qun XU ; Tao LI ; Feng YU ; Xiao-Yong WANG ; Jia-Fa LIU
Journal of Huazhong University of Science and Technology (Medical Sciences) 2018;38(2):324-328
This study aimed to assess the measurement uncertainty of a new method for determination of allura redin food by high performance liquid chromatography (HPLC).The uncertainty of mathematical model of allura red is based on Europe for Analytical Chemistry(EURACHEM) guidelines.The sources and components of uncertainty were calculated,including recovery,working solution,sample mass,final volume,response of standard solution,response of sample solution.The expanded uncertainty was 0.0024 (k=2).Uncertainty of working solution was the most significant factor contributing to the total uncertainty,accounting for 86.2%.The uncertainty of volume accounted for the minimum at 0.025%.The developed method is simple and accurate,which can be used for the determination of allura redin puffed samples.

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