1.Palmitoylated SARM1 targeting P4HA1 promotes collagen deposition and myocardial fibrosis: A new target for anti-myocardial fibrosis.
Xuewen YANG ; Yanwei ZHANG ; Xiaoping LENG ; Yanying WANG ; Manyu GONG ; Dongping LIU ; Haodong LI ; Zhiyuan DU ; Zhuo WANG ; Lina XUAN ; Ting ZHANG ; Han SUN ; Xiyang ZHANG ; Jie LIU ; Tong LIU ; Tiantian GONG ; Zhengyang LI ; Shengqi LIANG ; Lihua SUN ; Lei JIAO ; Baofeng YANG ; Ying ZHANG
Acta Pharmaceutica Sinica B 2025;15(9):4789-4806
Myocardial fibrosis is a serious cause of heart failure and even sudden cardiac death. However, the mechanisms underlying myocardial ischemia-induced cardiac fibrosis remain unclear. Here, we identified that the expression of sterile alpha and TIR motif containing 1 (SARM1), was increased significantly in the ischemic cardiomyopathy patients, dilated cardiomyopathy patients (GSE116250) and fibrotic heart tissues of mice. Additionally, inhibition or knockdown of SARM1 can improve myocardial fibrosis and cardiac function of myocardial infarction (MI) mice. Moreover, SARM1 fibroblasts-specific knock-in mice had increased deposition of extracellular matrix and impaired cardiac function. Mechanically, elevated expression of SARM1 promotes the deposition of extracellular matrix by directly modulating P4HA1. Notably, by using the Click-iT reaction, we identified that the increased expression of ZDHHC17 promotes the palmitoylation levels of SARM1, thereby accelerating the fibrosis process. Based on the fibrosis-promoting effect of SARM1, we screened several drugs with anti-myocardial fibrosis activity. In conclusion, we have unveiled that palmitoylated SARM1 targeting P4HA1 promotes collagen deposition and myocardial fibrosis. Inhibition of SARM1 is a potential strategy for the treatment of myocardial fibrosis. The sites where SARM1 interacts with P4HA1 and the palmitoylation modification sites of SARM1 may be the active targets for anti-fibrosis drugs.
2.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
3.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.
4.The safety and efficacy of boron neutron capture therapy (BNCT) in the treatment of recurrent malignant tumors
Junqiang HONG ; Xiaoyi LIN ; Youqun LAI ; Ye CAO ; Xiangquan KONG ; Yuanhao LIU ; Shuiying LUO ; Zhicheng XIONG ; Mei GONG ; Yalai LIN ; Qiaoyun CHEN ; Mingang YING ; Li HUO ; Xiaohua ZHU ; Xiaoping SUN ; Yiqiao DENG ; Diyun SHU ; Haige ZHANG ; Cheng HUANG ; Jianji PAN
Chinese Journal of Radiation Oncology 2025;34(10):985-992
Objective:To evaluate the safety and efficacy of accelerator-based boron neutron capture therapy (AB-BNCT) in the treatment of recurrent and refractory malignant tumors.Methods:The data of 14 patients admitted to Xiamen Humanity Hospital from September 2022 to April 2023 were prospectively collected, including 7 patients with primary brain malignancies and 7 patients with locally recurrent inoperable head and neck malignancies. All patients received intravenous infusion of boron drug (NBB-001, p-dihydroxyborylphe nylalanine, a patented freeze-dried formulation) at a total nominal dosage of 500 mg/kg (11 patients) or 750 mg/kg (3 patients), and were irradiated with neutrons (operating with NeuPex system). Adverse events after treatment were recorded and assessed. The primary efficacy endpoint was the 90 d objective response rate (ORR), while the secondary endpoints included progression-free survival (PFS) and complete response rate (CRR). Data were compiled and analyzed by SAS 9.4 software. The rate and 95% CI were calculated using Clopper-Pearson method. Results:The median dose delivered to 80% of the target volume (D 80%) was 16.80 GyE (range: 8.93-23.79 GyE). The most common adverse reactions were hyperamylasemia, alopecia, and hyperprolactinemia. Five patients experienced 8 cases of grade 3 or above adverse events, including 1 case of grade 4 acute kidney injury and 7 cases of grade 3 adverse events. All adverse events were recovered after observation or treatment. At 90 d after treatment, the ORR of all patients was 9/14 (64%, 95% CI: 35%-87%), disease control rate (DCR) was 10/14 (71%, 95% CI: 42%-92%), CRR was 2/14 (14%, 95% CI: 2%-42%); and the best overall response during the entire course included an ORR of 10/14 (71% ,95% CI: 42%-92%), DCR of 13/14 (93%, 95% CI: 66%-100%), and CRR of 3/14 (21% ,95% CI: 5%-51%). The 1-year survival rate for head and neck malignancies was 71.4%, and the 2-year survival rate was 42.8%. The 1-year survival rate for recurrent brain malignancies was 42.8%. Conclusion:AB-BNCT demonstrates favorable safety and promising efficacy in treating primary brain malignancies and recurrent/refractory head and neck malignancies, representing a potential therapeutic option.
5.Association and mechanism between genetic variants in binding region of pancreatic and duodenum homeobox-1 and susceptibility to pancreatic cancer
Wen TIAN ; Yizhuo LIU ; Bin LI ; Jianbo TIAN ; Xiaoping MIAO ; Ying ZHU
Chinese Journal of Preventive Medicine 2025;59(5):581-587
Objective:To systematically investigate the association and regulatory mechanism between genetic variants in the binding region of pancreatic and duodenal homeobox 1 (PDX1) and pancreatic cancer susceptibility in the Chinese population.Methods:Chromatin immunoprecipitation sequencing (ChIP-seq) was performed using the human pancreatic cancer cell line BxPC-3 to identify and annotate genetic variants within the PDX1 binding region. A two-center case-control study was conducted, and logistic regression models were employed to analyze the association between PDX1-related variants and pancreatic cancer susceptibility. Functional experiments were performed to elucidate the molecular mechanisms of these genetic variants.Results:ChIP-seq analysis identified 1 608 PDX1 binding regions. SNPs within these regions were significantly enriched in susceptible areas of pancreatic cancer ( P<0.001). The common variant rs154659, located within the most significant PDX1 binding peak, was further investigated. The multivariate logistic regression model showed that compared with individuals with TT genotype, individuals with CC genotype had a reduced risk of pancreatic cancer by 29.2% ( OR=0.708, 95% CI: 0.589-0.850). Functional studies demonstrated that the rs154659[C] allele displayed higher relative luciferase activity than the rs154659[T] allele. Knockdown of PDX1 significantly attenuated the relative luciferase differences between the two alleles. Conclusion:Genetic variants in the PDX1 binding region are associated with pancreatic cancer risk. The rs154659 modulates pancreatic cancer susceptibility by specifically altering PDX1 binding activity.
6.Correlations of PTTG1 and UBE2C with prognosis of liver cancer based on bioinformatics analysis
Lichao CAO ; Ying BA ; Fang CHEN ; Long XU ; Chendi YU ; Xiaoping LU ; Hezi ZHANG
Chinese Journal of Clinical Laboratory Science 2025;43(1):50-58
Objective To explore the T/NK cell-related differentially expressed genes(T/NK-DEGs)related to the prognosis of liver cancer based on the single-cell RNA-seq data,gene expression data and clinical information in the GEO and TCGA databases,and construct the prognostic model of liver cancer.Methods The single-cell RNA-seq data and gene expression matrices of liver cancer were obtained from the GEO database.The TCGA-LIHC cohorts,including mRNA expression data,clinical information,survival infor-mation,and somatic mutation data,were obtained from the TCGA database.Based on the two databases,the prognostic model of liver cancer patients was constructed by the bioinformatics method,and the performance of the model was predicted.Results Two T/NK-DEGs,PTTG1 and UBE2C,were identified to be associated with the prognosis of liver cancer and a prognostic model of liver cancer was constructed based on them.According to the risk score,the patients were divided into the high-risk score group and low-risk score group,in which the patients with high-risk score had a worse prognosis than those with low-risk score.The areas under the receiv-er operating characteristics(ROC)curve(AUCROC)of the prognostic model at 1-year,3-year and 5-year time points were 0.685,0.647 and 0.594,respectively.The higher risk score was correlated with the advanced pathological stage(Ⅰstage,Ⅱstage,andⅢstage)and T-stage(T1,T2,and T3)(P<0.05).The prognostic model was able to predict the proportion of tumor infiltrating immune cells,and the sensitivity of immunotherapy and chemotherapy drugs in patients with liver cancer.Conclusion The constructed prog-nostic model in this study has an important role in the prediction of individualized survival and clinical treatment response of patients with liver cancer.
7.Correlations of PTTG1 and UBE2C with prognosis of liver cancer based on bioinformatics analysis
Lichao CAO ; Ying BA ; Fang CHEN ; Long XU ; Chendi YU ; Xiaoping LU ; Hezi ZHANG
Chinese Journal of Clinical Laboratory Science 2025;43(1):50-58
Objective To explore the T/NK cell-related differentially expressed genes(T/NK-DEGs)related to the prognosis of liver cancer based on the single-cell RNA-seq data,gene expression data and clinical information in the GEO and TCGA databases,and construct the prognostic model of liver cancer.Methods The single-cell RNA-seq data and gene expression matrices of liver cancer were obtained from the GEO database.The TCGA-LIHC cohorts,including mRNA expression data,clinical information,survival infor-mation,and somatic mutation data,were obtained from the TCGA database.Based on the two databases,the prognostic model of liver cancer patients was constructed by the bioinformatics method,and the performance of the model was predicted.Results Two T/NK-DEGs,PTTG1 and UBE2C,were identified to be associated with the prognosis of liver cancer and a prognostic model of liver cancer was constructed based on them.According to the risk score,the patients were divided into the high-risk score group and low-risk score group,in which the patients with high-risk score had a worse prognosis than those with low-risk score.The areas under the receiv-er operating characteristics(ROC)curve(AUCROC)of the prognostic model at 1-year,3-year and 5-year time points were 0.685,0.647 and 0.594,respectively.The higher risk score was correlated with the advanced pathological stage(Ⅰstage,Ⅱstage,andⅢstage)and T-stage(T1,T2,and T3)(P<0.05).The prognostic model was able to predict the proportion of tumor infiltrating immune cells,and the sensitivity of immunotherapy and chemotherapy drugs in patients with liver cancer.Conclusion The constructed prog-nostic model in this study has an important role in the prediction of individualized survival and clinical treatment response of patients with liver cancer.
8.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.
9.Association and mechanism between genetic variants in binding region of pancreatic and duodenum homeobox-1 and susceptibility to pancreatic cancer
Wen TIAN ; Yizhuo LIU ; Bin LI ; Jianbo TIAN ; Xiaoping MIAO ; Ying ZHU
Chinese Journal of Preventive Medicine 2025;59(5):581-587
Objective:To systematically investigate the association and regulatory mechanism between genetic variants in the binding region of pancreatic and duodenal homeobox 1 (PDX1) and pancreatic cancer susceptibility in the Chinese population.Methods:Chromatin immunoprecipitation sequencing (ChIP-seq) was performed using the human pancreatic cancer cell line BxPC-3 to identify and annotate genetic variants within the PDX1 binding region. A two-center case-control study was conducted, and logistic regression models were employed to analyze the association between PDX1-related variants and pancreatic cancer susceptibility. Functional experiments were performed to elucidate the molecular mechanisms of these genetic variants.Results:ChIP-seq analysis identified 1 608 PDX1 binding regions. SNPs within these regions were significantly enriched in susceptible areas of pancreatic cancer ( P<0.001). The common variant rs154659, located within the most significant PDX1 binding peak, was further investigated. The multivariate logistic regression model showed that compared with individuals with TT genotype, individuals with CC genotype had a reduced risk of pancreatic cancer by 29.2% ( OR=0.708, 95% CI: 0.589-0.850). Functional studies demonstrated that the rs154659[C] allele displayed higher relative luciferase activity than the rs154659[T] allele. Knockdown of PDX1 significantly attenuated the relative luciferase differences between the two alleles. Conclusion:Genetic variants in the PDX1 binding region are associated with pancreatic cancer risk. The rs154659 modulates pancreatic cancer susceptibility by specifically altering PDX1 binding activity.
10.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.

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