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.Research advances in the pathogenesis and pathophysiological manifestations of interstitial cystitis caused by urothelial cell pyroptosis
Journal of Chongqing Medical University 2025;50(4):426-431
Pyroptosis is a proinflammatory form of regulated cell death that can lead to the activation of inactive cytokines and the cleavage of gasdermin D in cells.The main pathological outcome of inflammatory bladder disease is the loss of bladder compliance,and cell pyroptosis plays an important role in this process.Some studies have shown that cell pyroptosis is regulated by various mechanisms such as DNA methylation and mitochondrial DNA oxidative damage,which intervene in the biological behavior of bladder urothelial cells in interstitial cystitis and induce impairment of bladder compliance.Therefore,this article reviews the regulatory mechanisms of cell pyroptosis in interstitial cystitis and the potential role of pyroptosis in inflammatory bladder diseases,in order to explore potential diagnostic biomarkers for interstitial cystitis and facilitate the prevention and treatment of interstitial cystitis.
3.Laboratory study for an outbreak of foodborne diseases caused by Salmonella Java
Yuwei LIU ; Wei DING ; Shuang ZHANG ; Yu ZHAO ; Shoufei LI ; Aixia YAN ; Ying LI ; Bo PANG ; Xuerong SUN ; Zhenpeng LI
Chinese Journal of Zoonoses 2025;41(9):960-966
The aim of this study was to identify the Salmonella strains isolated from an outbreak of foodborne illness in a seafood buffet restaurant and analyze their pathogenic characteristics.Epidemiological data,fecal samples from patients and chefs,and food/environmental samples from the restaurant were analyzed.Research methods included bacterial culture,serotyping,quadruple fluo-rescence PCR identification,whole-genome sequencing and antibiotic susceptibility testing.The results showed that 4 S.Java strains(serotype 1,4,12∶b∶1,2;ST42)were isolated from two outbreak cases and two sporadic cases.All isolates exhibited similar genomic features,harboring 9 virulence islands and 98 virulence genes.Antimicrobial resistance profiling revealed streptomycin monoresis-tance,mediated by aac(6′)-Iy and aac(6′)-Iaa genes.In conclusion,this event was the first reported outbreak of foodborne illness caused by S.Java in China,indicating that S.Java may be prevalent in the surveyed district.The catering industry should optimize food handling and processing procedures and enhance the surveillance of high risk pathogens.Meanwhile,further studies should ad-dress differential diagnosis and pathogenic mechanism differences between S.Java and S.paratyphi B,which will facilitate evidence-based monitoring in China.
4.Laboratory study for an outbreak of foodborne diseases caused by Salmonella Java
Yuwei LIU ; Wei DING ; Shuang ZHANG ; Yu ZHAO ; Shoufei LI ; Aixia YAN ; Ying LI ; Bo PANG ; Xuerong SUN ; Zhenpeng LI
Chinese Journal of Zoonoses 2025;41(9):960-966
The aim of this study was to identify the Salmonella strains isolated from an outbreak of foodborne illness in a seafood buffet restaurant and analyze their pathogenic characteristics.Epidemiological data,fecal samples from patients and chefs,and food/environmental samples from the restaurant were analyzed.Research methods included bacterial culture,serotyping,quadruple fluo-rescence PCR identification,whole-genome sequencing and antibiotic susceptibility testing.The results showed that 4 S.Java strains(serotype 1,4,12∶b∶1,2;ST42)were isolated from two outbreak cases and two sporadic cases.All isolates exhibited similar genomic features,harboring 9 virulence islands and 98 virulence genes.Antimicrobial resistance profiling revealed streptomycin monoresis-tance,mediated by aac(6′)-Iy and aac(6′)-Iaa genes.In conclusion,this event was the first reported outbreak of foodborne illness caused by S.Java in China,indicating that S.Java may be prevalent in the surveyed district.The catering industry should optimize food handling and processing procedures and enhance the surveillance of high risk pathogens.Meanwhile,further studies should ad-dress differential diagnosis and pathogenic mechanism differences between S.Java and S.paratyphi B,which will facilitate evidence-based monitoring in China.
5.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.
6.Driving Jiashan County with"Chain":A Study on Chronic Disease Management Mode Based on Blockchain
Shuang PANG ; Guohua XIAO ; Guang LI ; Jingling CAI ; Wenji CAO ; Liping YUE ; Yan XU
Journal of Medical Informatics 2024;45(10):70-74
Purpose/Significance Taking Jiashan county's chronic disease management mode based on blockchain as an example,new strategies for chronic disease management under the integrated county medical community mode are discussed.Method/Process U-sing the PEST-SWOT analysis method,the paper analyzes the strengths,weaknesses,opportunities and threats of the chronic disease management mode based on blockchain in Jiashan county from 4 aspects:politics,economy,society,and technology.Result/Conclu-sion The chronic disease management mode based on blockchain technology can ensure seamless connection and sharing of data,guaran-tee the security and traceability of patients'personal information and health records,and promote the common development of blockchain technology and chronic disease management in Jiashan county.
7.DCK confers sensitivity of DCTD-positive cancer cells to oxidized methylcytidines.
Ya-Hui ZHAO ; Wei JIANG ; Hai GAO ; Guo-Zheng PANG ; Yu-Shuang WU ; Yuan-Xian WANG ; Meng-Yao SHENG ; Jia-Ying XIE ; Wan-Ling WU ; Zhi-Jian JI ; Ya-Rui DU ; Lei ZHANG ; Xiao-Qin WANG ; Colum P WALSH ; Hai JIANG ; Guo-Liang XU ; Dan ZHOU
Protein & Cell 2023;14(7):532-537
8.Epidemiological characteristics and serum antibody detection of a COVID-19 aggregated outbreak in vaccinated population.
Zhen Yong REN ; Hai Ying GONG ; Dan XIN ; Li ZHANG ; Shuang LI ; Xin ZHANG ; Meng CHEN ; Xing Huo PANG
Chinese Journal of Preventive Medicine 2023;57(5):728-731
An epidemiological investigation was conducted on a cluster epidemic of COVID-19 in the vaccinated population in Beijing in 2022, and serum samples were collected from 21 infected cases and 61 close contacts (including 20 cases with positive nucleic acid in the isolation observation period). The results of antibody detection showed that the IgM antibody of two infected persons was positive, and the IgG antibody positive rates of patients who were converted, not converted to positive and infected persons were 36.84% (7/19), 63.41% (26/41) and 71.43% (15/21), respectively. About 98.78% of patients had been vaccinated with the SARS-CoV-2 inactivated vaccine. The positive rate of IgG antibody in patients immunized with three doses of vaccine was 86.00% (43/50), which was higher than that in patients with one or two doses [16.12% (5/31)]. The antibody level of M (Q1, Q3) in patients immunized with three doses was 4.255 (2.303, 7.0375), which was higher than that in patients with one or two doses [0.500 (0.500, 0.500)] (all P values<0.001). The antibody level of patients who were vaccinated less than three months [7.335 (1.909, 7.858)] was higher than that of patients vaccinated more than three months after the last vaccination [2.125 (0.500, 4.418)] (P=0.007). The positive rate and level of IgG antibody in patients who were converted to positive after three doses were 77.78% (7/9) and 4.207 (2.216, 7.099), respectively, which were higher than those in patients who were converted after one or two doses [0 and 0.500 (0.500, 0.500)] (all P values<0.05).
Humans
;
COVID-19
;
SARS-CoV-2
;
Disease Outbreaks
;
COVID-19 Vaccines
;
Immunoglobulin G
;
Antibodies, Viral
9.Analysis of tuberculosis epidemiological characteristics and drug resistance among the floating population in Beijing in 2019.
Xin Yu YANG ; Shuang Shuang CHEN ; Jun Li YI ; Yan Feng ZHAO ; Hao CHEN ; Xiao Wei DAI ; Bei Chuan DING ; Meng Di PANG ; Qiao LI ; Zhegn Ying ZHAO ; Chuan You LI
Chinese Journal of Epidemiology 2023;44(6):949-953
Objective: To analyze the epidemic characteristics and drug resistance of pulmonary tuberculosis among the floating population in Beijing and to provide a scientific basis for formulating strategies for the prevention and control of tuberculosis among the floating population. Methods: Data of tuberculosis patients who were positive for Mycobacterium tuberculosis culture was collected from 16 districts and one municipal institution of tuberculosis control and prevention in Beijing in 2019. The strain samples were tested for drug sensitivity by the proportional method. According to household registration location, patients were divided into the floating population and Beijing registration. SPSS 19.0 software analyzed tuberculosis patients' epidemic characteristics and drug resistance in the floating population. Results: In 2019, there were 1 171 culture-positive tuberculosis patients in Beijing, among the floating population, 593 (50.64%) patients were identified, with a male-to-female sex ratio of 2.2∶1 (409∶184). Compared to patients under household registration as Beijing residents, a higher proportion of young adults aged 20-39 years (65.09%,386/593) were noticed, with 55.65% (330/593) reported from the urban areas and 96.80% (574/593) were reported the first time. The differences were statistically significant (all P<0.05). After completing the drug sensitivity test, 37 cases were with multiple drug-resistant tuberculosis, accounting for 6.24% (37/593). The rates of isoniazid resistance (42.11%,8/19) and multidrug resistance (21.05%,4/19) in floating population patients after retreatment were significantly higher than those in newly treated patients (11.67%, 67/574 and 5.75%, 33/574), and the differences were statistically significant (all P<0.05). Conclusions: Most patients with tuberculosis in the floating population in Beijing in 2019 were young males aged 20-39 years. The reporting areas were urban areas and the newly treated patients mainly. The patients with tuberculosis in the re-treated floating population were more likely to suffer from multidrug and drug resistance, which should be taken as the key population for prevention and control.
Young Adult
;
Humans
;
Female
;
Male
;
Beijing/epidemiology*
;
Tuberculosis
;
Tuberculosis, Pulmonary/epidemiology*
;
Tuberculosis, Multidrug-Resistant/epidemiology*
;
Drug Resistance
10.Analysis on infection sources and transmission chains of three outbreaks caused by 2019-nCoV Omicron variant in Beijing, China.
Shuang Sheng WU ; Ying SUN ; Xiang Feng DOU ; Zhen Yong REN ; Jiao Jiao ZHANG ; Lei JIA ; Peng YANG ; Xing Huo PANG
Chinese Journal of Epidemiology 2023;44(3):373-378
Objective: To investigate the infection sources and the transmission chains of three outbreaks caused by 2019-nCoV Omicron variant possibly spread through cross-border logistics in Beijing. Methods: Epidemiological investigation and big data were used to identify the exposure points of the cases. Close contacts were traced from the exposure points, and the cases' and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: The Omicron variant causing 3 outbreaks in Beijing from January to April, 2022 belonged to BA.1, BA.1.1 and BA.2. The outbreaks lasted for 8, 12 and 8 days respectively, and 6, 42 and 32 cases infected with 2019-nCoV were reported respectively. International mail might be the infection source for 1 outbreak, and imported clothes might be the infection sources for another 2 outbreaks. The interval between the shipment start time of the imported goods and the infection time of the index case was 3-4 days. The mean incubation period (Q1, Q3) was 3 (2,4) days and the mean serial interval (Q1, Q3) was 3 (2,4)days. Conclusions: The 3 outbreaks highlighted the risk of infection by Omicron variant from international logistics-related imported goods at normal temperature. Omicron variant has stronger transmissibility, indicating that rapid epidemiological investigation and strict management are needed.
Humans
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Beijing
;
SARS-CoV-2
;
COVID-19
;
Disease Outbreaks
;
China/epidemiology*

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