1.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
2.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.
3.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
4.Safety of colostrum collection in the third trimester and evaluation of postpartum breastfeeding in pregnant women with hyperglycemia during pregnancy
Guang-yun GAO ; Jing WANG ; Jun-ping ZHANG ; Jia SHENG ; Jie-jing SHENG ; Li-ping MAO ; Fei-fei ZHOU
Fudan University Journal of Medical Sciences 2025;52(2):225-231
Objective To preliminarily explore the safety of collecting colostrum in the third trimester,and to evaluate postpartum breastfeeding in pregnant women with hyperglycemia during pregnancy.Methods Pregnant women with hyperglycemia during pregnancy who had prenatal examinations in Obstetrics and Gynecology Hospital,Fudan University from Jul to Nov 2022 were prospectively divided into the colostrum collection group(n=52)in the third trimester and the control group(n=55)by randomized controlled grouping method.The t-test,χ2 test,Fisher's exact probability method and rank sum test were used for statistical analysis of the data to compare the delivery outcomes,neonatal outcomes and postpartum breastfeeding status between the two groups.Results There were no significant differences in the gestational weeks at delivery,delivery methods,breastfeeding rates at 42 days postpartum and 4 months postpartum between the two groups of pregnant women with hyperglycemia during pregnancy.There were also no significant differences in the Apgar scores at 1 minute and 5 minutes after birth and the neonatal hospitalization rate.The proportion of formula milk as the first supplementary feeding after delivery and the delayed lactation rate at 3 days postpartum in the colostrum collection group were significantly lower than those in the control group(P<0.05).The exclusive breastfeeding rates at 24 hours postpartum and 3 days postpartum in the colostrum collection group were significantly higher than those in the control group(P<0.05).Conclusion Collecting colostrum in the third trimester among pregnant women with hyperglycemia during pregnancy is safe,and it can reduce the rate of supplementary feeding with formula milk after delivery,and increase the exclusive breastfeeding rates at 24 hours postpartum and 3 days postpartum.
5.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
6.Study on mechanism of Yourenji Capsules in improving osteoporosis based on network pharmacology and proteomics.
Yun-Hang GAO ; Han LI ; Jian-Liang LI ; Ling SONG ; Teng-Fei CHEN ; Hong-Ping HOU ; Bo PENG ; Peng LI ; Guang-Ping ZHANG
China Journal of Chinese Materia Medica 2025;50(2):515-526
This study aimed to explore the pharmacological mechanism of Yourenji Capsules(YRJ) in improving osteoporosis by combining network pharmacology and proteomics technologies. The SD rats were randomly divided into a blank control group and a 700 mg·kg~(-1) YRJ group. The rats were subjected to gavage administration with the corresponding drugs, and the blank serum, drug-containing serum, and YRJ samples were compared using ultra performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS) to analyze the main components absorbed into blood. Network pharmacology analysis was conducted based on the YRJ components absorbed into blood to obtain related targets of the components and target genes involved in osteoporosis, and Venn diagrams were used to identify the intersection of drug action targets and disease targets. The STRING database was used for protein-protein interaction(PPI) network analysis of potential target proteins to construct a PPI network. Gene Ontology(GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment were performed using Enrichr to investigate the potential mechanism of action of YRJ. Ovariectomy(OVX) was performed to establish a rat model of osteoporosis, and the rats were divided into a sham group, a model group, and a 700 mg·kg~(-1) YRJ group. The rats were given the corresponding drugs by gavage. The femurs of the rats were subjected to label-free proteomics analysis to detect differentially expressed proteins, and GO functional enrichment and KEGG pathway enrichment analyses were performed on the differentially expressed proteins. With the help of network pharmacology and proteomics results, the mechanism by which YRJ improves osteoporosis was predicted. The analysis of the YRJ components absorbed into blood revealed 23 bioactive components of YRJ, and network pharmacology results indicated that key targets involved include tumor necrosis factor(TNF), tumor protein p53(TP53), protein kinase(AKT1), and matrix metalloproteinase 9(MMP9). These targets are mainly involved in osteoclast differentiation, estrogen signaling pathways, and nuclear factor-kappa B(NF-κB) signaling pathways. Additionally, the proteomics analysis highlighted important pathways such as peroxisome proliferator-activated receptor(PPAR) signaling pathways, mitogen-activated protein kinase(MAPK) signaling pathways, and β-alanine metabolism. The combined approaches of network pharmacology and proteomics have revealed that the mechanism by which YRJ improves osteoporosis may be closely related to the regulation of inflammation, osteoblast, and osteoclast metabolic pathways. The main pathways involved include the NF-κB signaling pathways, MAPK signaling pathways, and PPAR signaling pathways, among others.
Animals
;
Drugs, Chinese Herbal/administration & dosage*
;
Osteoporosis/metabolism*
;
Proteomics
;
Rats
;
Rats, Sprague-Dawley
;
Network Pharmacology
;
Female
;
Protein Interaction Maps/drug effects*
;
Capsules
;
Humans
;
Signal Transduction/drug effects*
7.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.
8.Safety of colostrum collection in the third trimester and evaluation of postpartum breastfeeding in pregnant women with hyperglycemia during pregnancy
Guang-yun GAO ; Jing WANG ; Jun-ping ZHANG ; Jia SHENG ; Jie-jing SHENG ; Li-ping MAO ; Fei-fei ZHOU
Fudan University Journal of Medical Sciences 2025;52(2):225-231
Objective To preliminarily explore the safety of collecting colostrum in the third trimester,and to evaluate postpartum breastfeeding in pregnant women with hyperglycemia during pregnancy.Methods Pregnant women with hyperglycemia during pregnancy who had prenatal examinations in Obstetrics and Gynecology Hospital,Fudan University from Jul to Nov 2022 were prospectively divided into the colostrum collection group(n=52)in the third trimester and the control group(n=55)by randomized controlled grouping method.The t-test,χ2 test,Fisher's exact probability method and rank sum test were used for statistical analysis of the data to compare the delivery outcomes,neonatal outcomes and postpartum breastfeeding status between the two groups.Results There were no significant differences in the gestational weeks at delivery,delivery methods,breastfeeding rates at 42 days postpartum and 4 months postpartum between the two groups of pregnant women with hyperglycemia during pregnancy.There were also no significant differences in the Apgar scores at 1 minute and 5 minutes after birth and the neonatal hospitalization rate.The proportion of formula milk as the first supplementary feeding after delivery and the delayed lactation rate at 3 days postpartum in the colostrum collection group were significantly lower than those in the control group(P<0.05).The exclusive breastfeeding rates at 24 hours postpartum and 3 days postpartum in the colostrum collection group were significantly higher than those in the control group(P<0.05).Conclusion Collecting colostrum in the third trimester among pregnant women with hyperglycemia during pregnancy is safe,and it can reduce the rate of supplementary feeding with formula milk after delivery,and increase the exclusive breastfeeding rates at 24 hours postpartum and 3 days postpartum.
9.Literature analysis of finite element model and material characteristics of cervical vertebra
Bifeng FU ; Xingyu JIANG ; Chao ZHANG ; Jin SU ; Guang YANG ; Aifeng LIU ; Yuping GAO ; Ping WANG ; Yuandong LI
International Journal of Biomedical Engineering 2024;47(5):463-471
Objective:To provide references for the application of finite element model in the study of cervical vertebra by statistically analysing the frequency, numerical value, properties, and boundary setting of the finite element model and the corresponding material features as well as boundary settings in the literature.Methods:The literature on cervical vertebra-related finite element models was collected from CNKI, Wanfang, VIP, PubMed, Web of Science, and Embase databases from January 2013 to December 2023. The quality assessment was followed by manual screening. The data sources, application classification, material properties (Young’s modulus and Poisson’s ratio), and boundary conditions of cervical vertebra, cervical intervertebral, and cervical ligaments were statistically analyzed.Results:A total of 102 papers were included. The finite element models of the cervical vertebra were derived from medical image reconstruction modeling techniques, predominantly CT plain scan and magnetic resonance imaging. Among the 102 cervical vertebra models, the C3-C7 (lower cervical segment) model appeared with the highest frequency (19). The Young’s modulus of the cortical bone, cancellous bone, and posterior structure of cervical vertebrae were set at about 12 000 or 10 000, 440, and 3 600 MPa, respectively, and the Poisson’s ratios were mainly set at about 0.29 or 0.30, 0.29, and 0.29. The Young’s modulus of the cervical intervertebral disc endplate, nucleus pulposus, and annulus fibrosus were concentrated around 500 or 2 000, 1, and 100 MPa, respectively, and the Poisson’s ratios were set at about 0.40, 0.50, and 0.40, respectively. The Young’s modulus of the anterior longitudinal ligament, posterior longitudinal ligament, transverse ligament, ligamentum flavum, interspinous ligament, capsular ligament, and articular cartilage of the cervical spine were set around 30, 20, 20, 6-10, 4-8, 10 or 20, 10 MPa, and the Poisson’s ratios were set at aoubt 0.30, 0.30, 0.30, 0.30, 0.30, 0.40, and 0.30, respectively. The Young’s modulus of the upper cervical interdental ligament, lamina, cruciate ligament, nuchal ligament, and pterygoid ligament were set at about 10, 10, 10 or 20, 20, and 5 MPa, respectively, and the Poisson’s ratios were set at about 0.30. Head weight settings were more common at 50, 74, and 100 N.Conclusions:The finite element model of the cervical vertebra has great value in the study of cervical spondylosis, but further optimization is still needed in the assignment of material properties, mesh division, and model verification to improve the accuracy and clinical applicability of the model.
10.National Metabolic Management Center(MMC) comprehensive management standards for patients with diabetes, hypertension, and hyperlipidemia
Weiqing WANG ; Yufan WANG ; Guixia WANG ; Aifang WANG ; Chunfang WEN ; Fanrong TIAN ; Guang NING ; Ping FENG ; Dalong ZHU ; Libin LIU ; Bangqun JI ; Heng SU ; Jianling DU ; Shu LI ; Yunsong LI ; Liu YANG ; Li LI ; Shengli WU ; Jinsong KUANG ; Yubo SHA ; Ping ZHANG ; Yawei ZHANG ; Yifei ZHANG ; Qidong ZHENG ; Zhongyan SHAN ; Dong ZHAO ; Zhigang ZHAO ; Tingyu KE ; Yu SHI ; Xuejiang GU ; Ning XU ; Fengmei XU ; Zuhua GAO ; Rong TANG ; Qijuan DONG ; Songbo FU ; Yi SHU ; Weici XIE ; Yuancheng DAI
Chinese Journal of Endocrinology and Metabolism 2024;40(12):1007-1023
Diabetes, hypertension, and dyslipidemia, collectively referred to the " Three Highs, " represent increasingly prevalent metabolic risk factors in China. Many individuals experience all three conditions concurrently, significantly heightening the risk of cardiovascular disease and mortality. Although the National Metabolic Management Center(MMC) has been established for over eight years and has its unique features, the awareness, treatment, and control rates of these diseases in China remain low, and the efficiency of community management is insufficient. According to the previous two editions of management guidelines and the most recent domestic and international diagnostic and treatment guidelines, this paper conducts an in-depth analysis of the operational experience and management strategies of the MMC. Its aim is to improve the efficiency of grassroots MMC mode management for " Three Highs" patients and ensure that patients receive more standardized management.

Result Analysis
Print
Save
E-mail