1.Predictive model for severe adverse reaction associated with bevacizumab based on the global trigger tool and machine learning
Yongfei FU ; Xin LONG ; Hongzhen XU ; Jian TANG ; Xiangqing LI ; Yucheng LONG ; Dong QIN
China Pharmacy 2026;37(4):497-503
OBJECTIVE To confirm trigger items for adverse drug reaction (ADR) induced by bevacizumab, to identify and analyze the occurrence of related ADR, and to establish a predictive model for severe adverse reaction (SAR) caused by this drug. METHODS Based on the global trigger tool (GTT) theory, and referencing the GTT White Paper, drug package inserts and relevant literature, trigger items for bevacizumab-related ADR were confirmed using a single-round Delphi method. Utilizing these established items, electronic medical records of relevant patients at Guilin People’s Hospital from January 2020 to September 2024 were actively screened via the China Hospital Pharmacovigilance System. Pharmacists then identified and tallied the occurrence of bevacizumab-induced ADR. Data from patients with any positive trigger item served as the study subjects (divided into training and test sets at a ratio of 7∶3), candidate feature variables were selected from 39 related variables using the Boruta algorithm, and the multivariable Logistic regression analysis was performed with the occurrence of SAR as the dependent variable. Based on these candidate features, Logistic Regression, Extreme Gradient Boosting, Light Gradient Boosting Machine, Random Forest, and Categorical Boosting models were constructed. Model performance was evaluated using metrics including the area under the curve (AUC) of receiver operating characteristic curve and recall rate. The Shapley Additive exPlanations (SHAP) method was applied to analyze and interpret the contribution of each variable. A nomogram was constructed based on the optimal model. RESULTS A total of 38 trigger items for active monitoring of bevacizumab-related ADR were determined, comprising 17 laboratory indicators, 13 clinical manifestations, and 8 intervention measures. In total, 483 patients with positive trigger items were included, and 318 patients with bevacizumab-induced ADR were identified, including 83 SARs. The positive predictive values for the trigger items and cases were 43.57% (708/1 625) and 63.84% (318/483), respectively. Bevacizumab-induced ADR involved 7 systems/organs, with the hematological system being the most frequently involved (64.15%). The Boruta algorithm selected 7 vari ables: serum potassium, hematocrit, albumin-to-globulin ratio, prealbumin, hypertension history, age and red blood cell count. Multivariable Logistic regression showed that elevated serum potassium levels were associated with a decreased risk of bevacizumab-induced SAR (OR=0.234, P =0.002), while a history of hypertension (OR=2.642, P =0.006) and increased age (OR=1.040, P =0.025) were associated with an increased risk. The Logistic Regression model demonstrated superior performance with higher AUC, F1 score and recall rate (0.761, 0.447, 0.607), compared to other models. SHAP evaluation results indicated that variables such as serum potassium, hematocrit, and age ranked highest in importance. CONCLUSIONS Totally 38 trigger entries have been successfully identified for active screening of bevacizumab-related ADR. Elevated serum potassium levels are a protective factor against bevacizumab-induced SAR, whereas the hypertension history and increased age are risk factors. The Logistic Regression model is the optimal predictive model.
2.Structure, content and data standardization of rehabilitation medical records
Yaru YANG ; Zhuoying QIU ; Di CHEN ; Zhongyan WANG ; Meng ZHANG ; Shiyong WU ; Yaoguang ZHANG ; Xiaoxie LIU ; Yanyan YANG ; Bin ZENG ; Mouwang ZHOU ; Yuxiao XIE ; Guangxu XU ; Jiejiao ZHENG ; Mingsheng ZHANG ; Xiangming YE ; Jian YANG ; Na AN ; Yuanjun DONG ; Xiaojia XIN ; Xiangxia REN ; Ye LIU ; Yifan TIAN
Chinese Journal of Rehabilitation Theory and Practice 2025;31(1):21-32
ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.
3.Role and Mechanism of Cucurbitacin B in Suppressing Proliferation of Breast Cancer 4T1 Cells via Inducing Ferroptosis
Yidan RUAN ; Huizhong ZHANG ; Huating HUANG ; Pingzhi ZHANG ; Aina YAO ; Yongqiang ZHANG ; Xiaohan XU ; Shiman LI ; Jian NI ; Xiaoxu DONG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):91-97
ObjectiveTo explore the role of cucurbitacin B (CuB) in inducing ferroptosis in 4T1 cells and its mechanism. MethodsThe effects of CuB(0.2, 0.4, 0.8 μmol·L-1)on the proliferation ability of 4T1 cells in vitro were detected using the methyl thiazolyl tetrazolium (MTT) assay. The clonogenic ability of 4T1 cells was detected by the plate cloning assay, and the levels of lactate dehydrogenase (LDH) in 4T1 cells were detected by the use of a kit. The mitochondrial membrane potential and reactive oxygen species (ROS) levels in 4T1 cells were detected by flow cytometry, and the mitochondrial ultrastructure of 4T1 cells was observed by transmission electron microscopy. The western blot was used to detect the expression of ferroptosis-related protein p53 in 4T1 cells, solute carrier family 7 member 11 (SCL7A11), glutathione peroxidase 4 (GPX4), long-chain acyl-CoA synthetase 4 (ACSL4), transferrin receptor protein 1 (TFR1), and ferritin heavy chain 1 (FTH1). ResultsCompared with that in the blank group, the survival rate of 4T1 cells in CuB groups was significantly decreased (P<0.05), and the number of cell clones in CuB groups was significantly reduced (P<0.01). In addition, compared with that in the blank group, the leakage of LDH in cells in CuB groups was significantly increased (P<0.01), and the mitochondrial membrane potential of cells in CuB groups decreased significantly (P<0.01). Cellular ROS levels were significantly elevated in CuB groups (P<0.01). The mitochondria of cells in CuB groups were obviously wrinkled, and the mitochondrial cristae were reduced or even disappeared. Compared with that in the blank group, the protein expression of p53, ACSL4, and TFR1 were significantly up-regulated in CuB groups (P<0.05), and that of SLC7A11, GPX4, and FTH1 were significantly down-regulated (P<0.05). ConclusionCuB may inhibit SLC7A11 and GPX4 expression by up-regulating the expression of p53, which in turn regulates the p53/SLC7A11/GPX4 signaling pathway axis and accelerates the generation of lipid peroxidation substrate by up-regulating the expression of ACSL4. It up-regulates TFR1 expression to promote cellular uptake of Fe3+ and down-regulates the expression of FTH1 to reduce the ability of iron storage, resulting in an elevated free Fe2+ level. It catalyzes the Fenton reaction, generates excess ROS, imbalances the antioxidant system and iron metabolism, and then induces ferroptosis in 4T1 cells.
4.Role and Mechanism of Cucurbitacin B in Suppressing Proliferation of Breast Cancer 4T1 Cells via Inducing Ferroptosis
Yidan RUAN ; Huizhong ZHANG ; Huating HUANG ; Pingzhi ZHANG ; Aina YAO ; Yongqiang ZHANG ; Xiaohan XU ; Shiman LI ; Jian NI ; Xiaoxu DONG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):91-97
ObjectiveTo explore the role of cucurbitacin B (CuB) in inducing ferroptosis in 4T1 cells and its mechanism. MethodsThe effects of CuB(0.2, 0.4, 0.8 μmol·L-1)on the proliferation ability of 4T1 cells in vitro were detected using the methyl thiazolyl tetrazolium (MTT) assay. The clonogenic ability of 4T1 cells was detected by the plate cloning assay, and the levels of lactate dehydrogenase (LDH) in 4T1 cells were detected by the use of a kit. The mitochondrial membrane potential and reactive oxygen species (ROS) levels in 4T1 cells were detected by flow cytometry, and the mitochondrial ultrastructure of 4T1 cells was observed by transmission electron microscopy. The western blot was used to detect the expression of ferroptosis-related protein p53 in 4T1 cells, solute carrier family 7 member 11 (SCL7A11), glutathione peroxidase 4 (GPX4), long-chain acyl-CoA synthetase 4 (ACSL4), transferrin receptor protein 1 (TFR1), and ferritin heavy chain 1 (FTH1). ResultsCompared with that in the blank group, the survival rate of 4T1 cells in CuB groups was significantly decreased (P<0.05), and the number of cell clones in CuB groups was significantly reduced (P<0.01). In addition, compared with that in the blank group, the leakage of LDH in cells in CuB groups was significantly increased (P<0.01), and the mitochondrial membrane potential of cells in CuB groups decreased significantly (P<0.01). Cellular ROS levels were significantly elevated in CuB groups (P<0.01). The mitochondria of cells in CuB groups were obviously wrinkled, and the mitochondrial cristae were reduced or even disappeared. Compared with that in the blank group, the protein expression of p53, ACSL4, and TFR1 were significantly up-regulated in CuB groups (P<0.05), and that of SLC7A11, GPX4, and FTH1 were significantly down-regulated (P<0.05). ConclusionCuB may inhibit SLC7A11 and GPX4 expression by up-regulating the expression of p53, which in turn regulates the p53/SLC7A11/GPX4 signaling pathway axis and accelerates the generation of lipid peroxidation substrate by up-regulating the expression of ACSL4. It up-regulates TFR1 expression to promote cellular uptake of Fe3+ and down-regulates the expression of FTH1 to reduce the ability of iron storage, resulting in an elevated free Fe2+ level. It catalyzes the Fenton reaction, generates excess ROS, imbalances the antioxidant system and iron metabolism, and then induces ferroptosis in 4T1 cells.
5.Expert consensus on peri-implant keratinized mucosa augmentation at second-stage surgery.
Shiwen ZHANG ; Rui SHENG ; Zhen FAN ; Fang WANG ; Ping DI ; Junyu SHI ; Duohong ZOU ; Dehua LI ; Yufeng ZHANG ; Zhuofan CHEN ; Guoli YANG ; Wei GENG ; Lin WANG ; Jian ZHANG ; Yuanding HUANG ; Baohong ZHAO ; Chunbo TANG ; Dong WU ; Shulan XU ; Cheng YANG ; Yongbin MOU ; Jiacai HE ; Xingmei YANG ; Zhen TAN ; Xiaoxiao CAI ; Jiang CHEN ; Hongchang LAI ; Zuolin WANG ; Quan YUAN
International Journal of Oral Science 2025;17(1):51-51
Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans
;
Consensus
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Dental Implants
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Mouth Mucosa/surgery*
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Keratins
6.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
7.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.
8.Genetic analysis of cases from a family with reduced B antigen expression in ABO blood group system
Taimei ZHOU ; Yingchun YANG ; Zihao ZHAO ; Weizhen XU ; Zishan JIAN ; Tongping YANG
Chinese Journal of Blood Transfusion 2025;38(5):717-722
Objective: To classify the ABO blood group phenotypes of 5 cases from a family, and to explore the molecular mechanism for reduced B antigen expression in ABO blood group system. Methods: Serological identification of the ABO blood group was performed using microcolumn gel assay and saline tube method. The soluble antigens in saliva were detected by the agglutination inhibition assay. The full-length sequences and upstream promoter regions of ABO gene were sequenced for genotyping using PacBio SMRT sequencing technology. Results: The results of serological tests indicated the expression of B antigen decreased in 3 out of 5 blood samples. A mixed-field agglutination was observed with anti-B antibody. B antigen was not detected in all 5 saliva samples. The ABO genotype for all samples were ABO
B.01/ABO
O.01.02, and a novel mutation c. 28+5875C>T within the DNA-binding region of RUNX1 in +5.8-kb site were found in the B allele for 3 samples with reduced expression of B antigen. Conclusion: Results of serological and genetic analyses classify the 3 cases with reduced B antigen expression as B
phenotype. The novel mutation c. 28+5875C>T of RUNX1 could be the key reason for reduced B antigen expression in 3 cases with B
phenotype.
9.Identification of critical quality attributes related to property and flavor of Jianwei Xiaoshi Tablets based on T1R2/T1R3/TRPV1-HEMT biosensor.
Dong-Hong LIU ; Yan-Yu HAN ; Jing WANG ; Hai-Yang LI ; Xin-Yu GUO ; Hui-Min FENG ; Han HE ; Shuo-Shuo XU ; Zhi-Jian ZHONG ; Zhi-Sheng WU
China Journal of Chinese Materia Medica 2025;50(14):3930-3937
The quality of traditional Chinese medicine(TCM) is a critical foundation for ensuring the stability of its efficacy, as well as the safety and effectiveness of its clinical use. The identification of critical quality attributes(CQAs) is one of the core components of TCM preparation quality control. This study focuses on Jianwei Xiaoshi Tablets and explores their CQAs related to property and flavor from the perspective of taste receptor proteins. Three taste receptor proteins, T1R2, T1R3, and TRPV1, were selected, and a biosensor based on high-electron-mobility transistor(HEMT) was constructed to detect the interactions between Jianwei Xiaoshi Tablets and taste receptor proteins. Simultaneously, liquid chromatography-mass spectrometry(LC-MS) technology was used to analyze the chemical composition of Jianwei Xiaoshi Tablets. In examining the interaction strength, the results indicated that the interaction between Jianwei Xiaoshi Tablets and TRPV1 protein was the strongest, followed by T1R3, with the interaction with T1R2 being relatively weaker. By combining biosensing technology with LC-MS, 16 chemical components were identified from Jianwei Xiaoshi Tablets, among which six were selected as CQAs for sweetness and seven for pungency. Further validation experiments demonstrated that CQAs such as hesperidin and hesperetin had strong interactions with their corresponding taste receptor proteins. Through the combined use of multiple technological approaches, this study successfully determined the property and flavor-related CQAs of Jianwei Xiaoshi Tablets. It provides novel ideas and approach for the identification of CQAs in TCM preparations and offers comprehensive theoretical support for TCM quality control, contributing to the improvement and development of TCM preparation quality control systems.
Drugs, Chinese Herbal/chemistry*
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Biosensing Techniques/methods*
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TRPV Cation Channels/chemistry*
;
Tablets/chemistry*
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Receptors, G-Protein-Coupled/genetics*
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Quality Control
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Taste
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Humans
;
Mass Spectrometry
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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