1.Strategies for Building an Artificial Intelligence-Empowered Trusted Federated Evidence-Based Analysis Platform for Spleen-Stomach Diseases in Traditional Chinese Medicine
Bin WANG ; Huiying ZHUANG ; Zhitao MAN ; Lifeng REN ; Chang HE ; Chen WU ; Xulei HU ; Xiaoxiao WEN ; Chenggong XIE ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(1):95-102
This paper outlines the development of artificial intelligence (AI) and its applications in traditional Chinese medicine (TCM) research, and elucidates the roles and advantages of large language models, knowledge graphs, and natural language processing in advancing syndrome identification, prescription generation, and mechanism exploration. Using spleen-stomach diseases as an example, it demonstrates the empowering effects of AI in classical literature mining, precise clinical syndrome differentiation, efficacy and safety prediction, and intelligent education, highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration, a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed, integrating blockchain-based smart contracts, federated learning, and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases, providing feasible pathways and a technical framework for building a high-quality, trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.
2.Establishment of reference values for clot waveform analysis parameters and their clinical application in differentiating acquired hemophilia A from lupus anticoagulant positive conditions
Bin YAN ; Mengchao CUI ; Yuanyuan WEN ; Di WU ; Luyi RU ; Huixin ZOU ; Tianxi HU ; Ruijuan WANG ; Suping ZHAI ; Weipeng DU
Chinese Journal of Laboratory Medicine 2025;48(3):371-377
Objective:To establish reference values for clot waveform analysis (CWA) and analyze their diagnostic efficacy in distinguishing acquired hemophilia A (AHA) and lupus anticoagulant (LA)-positive patients.Methods:Case-Control Study. A total of 391 healthy individuals(260 males and 131 females) with a mean age of 45.53±14.85 years were enrolled at Nanyang central Hospital between January 6, 2023 and October 10, 2024. Prothrombin time (PT), activated partial thromboplastin time (APTT), and thrombin time (TT) were measured to establish reference ranges for the CWA parameters, including maximal reaction velocity (Min1), maximal reaction acceleration (Min2), and maximal reaction deceleration (Max2). A total of 158 definitively diagnosed AHA and LA-positive patients (mean age:42.46±14.83 years), including 34 AHA patients and 124 LA-positive patients, were recruited. The Mann Whitney U test was used to analyze the differences in the CWA parameters between the two groups. The diagnostic efficacy of CWA parameters in distinguishing AHA and LA-positive patients was evaluated using the area under the receiver operating characteristic(ROC) curve AUC and the cut-off values were calculated. Results:The reference values for PT-Min1, APTT-Min1, APTT-Min2, APTT-Max2, TT-Min1, TT-Min2, TT-Max2 were 203.41-516.89, 144.63-324.03, 526.46-1 190.03, -404.96±157.22, 159.17±60.34, 272.29-686.99, and -289.47--113.76, respectively. Compared with the CWA parameters in AHA patients, APTT-Max2 was significantly lower in LA-positive patients [-422.74(-577.50, -239.22) vs. -68.87(-92.85,30.28), Z=-7.43, P<0.01], while PT-Min1, APTT-Min1, APTT-Min2, TT-Min1, TT-Min2 were significantly elevated [287.01(188.03, 382.50) vs. 107.45(90.20, 151.39), 972.88(601.20, 1 351.19) vs. 229.10(118.38, 371.67), Z=6.68, 6.69, all P<0.01]. ROC analysis demonstrated the APTT-CWA parameter exhibited high diagnostic efficacy in patients with AHA (AUC>0.900 for both).Additionally, APTT-Min1 and APTT-Max2 were found to be useful in distinguishing between AHA patients and those with LA-positive status accompanied by APTT prolongation (AUC=0.660, 0.700, respectively). Conclusions:Reference values for CWA parameters were successfully established. The APTT-CWA is useful for differentiating between AHA and LA-positive patients and APTT-Max2 demonstrated a good diagnostic value in differentiating AHA patients from those with LA-positive status accompanied by APTT prolongation.
3.Artificial tiger bone meal improves degeneration of spinal facet joints and immune microenvironment of articular cartilage in rats with spine osteoarthritis
Wen LI ; Jingyi ZHAO ; Wen HU ; Bin XIONG ; Chao TANG
Chinese Journal of Tissue Engineering Research 2025;29(26):5511-5519
BACKGROUND:Spine osteoarthritis is a chronic inflammatory disease of the spine,articular ligaments,and tendons,and is the main cause of chronic low back pain.Artificial tiger bone powder has anti-inflammatory and pain-relieving biological effects,so it is expected to provide a new strategy for targeted therapy of spinal osteoarthritis.OBJECTIVE:To investigate the mechanism of artificial tiger bone meal in regulating the expression level of interleukin-23/interleukin-17 immune axis in improving spine osteoarthritis in rats.METHODS:Sixty SD rats were randomly divided into blank control group,model group,artificial tiger bone meal low-,medium-and high-dose groups,with 12 rats in each group.Except for the blank control group,osteoarthritis models were established in the other groups by injecting 0.1 mL of iodoacetic acid into the joint cavity of the lumbar vertebral joint capsule of the rats.15 days after modeling,the artificial tiger bone meal low,medium and high dose groups were treated by intragastric administration of 120,240 and 480 mg/kg per day respectively.The blank control group and model group were given the same volume of normal saline by gavage.After 21 days of treatment,the expression levels of interleukin-17,interleukin-23,matrix metalloproteinase-3,and chemokine receptor-6 in rat spinal articular cartilage were measured by western blot assay.The expression levels of related inflammatory factors in rat serum were detected by ELISA.The degree of joint injury and degeneration in rats was observed by hematoxylin-eosin staining and safranin O-fast green staining.RESULTS AND CONCLUSION:(1)The results of western blot assay showed that the expression levels of interleukin 17,interleukin 23,matrix metalloproteinase 3,and chemokine receptor 6 in the articular cartilage of rats in the artificial tiger bone meal high-dose group were significantly lower than those in the model group(P<0.05).(2)ELISA results showed that compared with the model group,the artificial tiger bone meal medium-and high-dose groups had a significant down-regulating effect on the levels of serum interleukin 17,tumor necrosis factor α,interleukin 1β,and matrix metalloproteinase 3(P<0.05).(3)Hematoxylin-eosin staining and saffron O-solid green staining showed that the infiltration and proliferation of synovial inflammatory cells in each treatment group of artificial tiger bone meal were significantly improved compared with the model group,and the pathological inflammation Osteoarthritis Research Society International score and Mankin's score in the medium-and high-dose groups of artificial tiger bone meal were significantly reduced(P<0.05).(4)It is suggested that artificial tiger bone meal could significantly improve the inflammation and degeneration of spinal facet joints caused by iodoacetic acid chemical stimulation.Among them,the effect of the high-dose group was more significant.The mechanism may be to inhibit the expression of interleukin-23/interleukin-17 immune axis-related inflammatory factors and improve the immune microenvironment of articular cartilage.
4.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
5.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
6.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
7.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.
8.Establishment of reference values for clot waveform analysis parameters and their clinical application in differentiating acquired hemophilia A from lupus anticoagulant positive conditions
Bin YAN ; Mengchao CUI ; Yuanyuan WEN ; Di WU ; Luyi RU ; Huixin ZOU ; Tianxi HU ; Ruijuan WANG ; Suping ZHAI ; Weipeng DU
Chinese Journal of Laboratory Medicine 2025;48(3):371-377
Objective:To establish reference values for clot waveform analysis (CWA) and analyze their diagnostic efficacy in distinguishing acquired hemophilia A (AHA) and lupus anticoagulant (LA)-positive patients.Methods:Case-Control Study. A total of 391 healthy individuals(260 males and 131 females) with a mean age of 45.53±14.85 years were enrolled at Nanyang central Hospital between January 6, 2023 and October 10, 2024. Prothrombin time (PT), activated partial thromboplastin time (APTT), and thrombin time (TT) were measured to establish reference ranges for the CWA parameters, including maximal reaction velocity (Min1), maximal reaction acceleration (Min2), and maximal reaction deceleration (Max2). A total of 158 definitively diagnosed AHA and LA-positive patients (mean age:42.46±14.83 years), including 34 AHA patients and 124 LA-positive patients, were recruited. The Mann Whitney U test was used to analyze the differences in the CWA parameters between the two groups. The diagnostic efficacy of CWA parameters in distinguishing AHA and LA-positive patients was evaluated using the area under the receiver operating characteristic(ROC) curve AUC and the cut-off values were calculated. Results:The reference values for PT-Min1, APTT-Min1, APTT-Min2, APTT-Max2, TT-Min1, TT-Min2, TT-Max2 were 203.41-516.89, 144.63-324.03, 526.46-1 190.03, -404.96±157.22, 159.17±60.34, 272.29-686.99, and -289.47--113.76, respectively. Compared with the CWA parameters in AHA patients, APTT-Max2 was significantly lower in LA-positive patients [-422.74(-577.50, -239.22) vs. -68.87(-92.85,30.28), Z=-7.43, P<0.01], while PT-Min1, APTT-Min1, APTT-Min2, TT-Min1, TT-Min2 were significantly elevated [287.01(188.03, 382.50) vs. 107.45(90.20, 151.39), 972.88(601.20, 1 351.19) vs. 229.10(118.38, 371.67), Z=6.68, 6.69, all P<0.01]. ROC analysis demonstrated the APTT-CWA parameter exhibited high diagnostic efficacy in patients with AHA (AUC>0.900 for both).Additionally, APTT-Min1 and APTT-Max2 were found to be useful in distinguishing between AHA patients and those with LA-positive status accompanied by APTT prolongation (AUC=0.660, 0.700, respectively). Conclusions:Reference values for CWA parameters were successfully established. The APTT-CWA is useful for differentiating between AHA and LA-positive patients and APTT-Max2 demonstrated a good diagnostic value in differentiating AHA patients from those with LA-positive status accompanied by APTT prolongation.
9.Prevalence and molecular characterization of Shiga toxin-producing Esch-erichia coli in domestic goats in the Chengkou District of Chongqing
Jing-jing PENG ; Bin HU ; Xi YANG ; Yi LI ; Hai HUANG ; Wen-shuang LIU ; Yu MENG ; Li-jun WANG ; Yan-wen XIONG ; Yi YUAN ; Pei-bin HOU
Chinese Journal of Zoonoses 2025;41(5):529-536
This study investigated the infection status,drug resistance,and molecular characteristics of Shiga toxin-producing Escherichia coli(STEC)in domestic goats in Chengkou county,Chongqing.In August 2023,283 fecal samples were collected from households in Chengkou county.After enrichment with EC broth and inoculation onto selective media,samples that tested positive for stx1/stx2 were selected for further isolation.The positive strains were investigated with antimicrobial susceptibility testing and whole genome sequencing.According to the whole genomic sequences,the stx subtypes,serotypes,multi-locus sequence types,virulence genes,drug resistance genes,and phylogenetic relationships of the STEC strains were analyzed.Forty-six strains of STEC were isolated from 283 goat fecal samples,thus resulting in a detection rate of 16.25%.The 46 STEC strains were categorized into 12 O∶H serotypes,among which O76∶H19 and O8∶H7 predominated,each represented by 9 strains.Five STEC strains were identified as serotype O157∶H7.The 46 STEC strains were categorized into 11 sequence types(STs),among which ST675 and ST196 predominated,each represented by nine strains,accounting for a 19.57%proportion.The strains were categorized into 7 stx subtypes,among which stx1c(26/46,56.52%),followed by stx2k(9/46,19.57%)predominated.All nine Stx2k-STEC strains were identified as serotype O8∶H7 and sequence type ST196.In antimicrobial susceptibility testing,2 STEC strains were resistant to ampicillin,one strain was resistant to ampicillin/sulbactam,one strain was resistant to cefazolin,and one strain was resistant to cefoxitin.Nine Stx2k-STEC strains were found to carry the beta-lactam resistance gene blaEC-18.Antimicrobial sensitivity tests revealed that the nine Stx2k-STEC strains were sensitive to all 15 tested antibiotics.Moreover,phylogenetic analysis indicated that the 9 Stx2k-STEC strains were remarkably similar but showed high genetic diversity with respect to that of the Stx2k-STEC strains isolated from other regions in China.Goatsare an important animal reservoir for STEC in theChengkou district of Chongqing,and novel sequence type Stx2k-STEC strains distinct from those found in other regions of China were identified in this region.
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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