1.Improvement effect and mechanism of Wuling San on TGF-β1-induced fibrosis, inflammation, and oxidative stress damage in HK-2 cells.
Jun WU ; Xue-Ning JING ; Fan-Wei MENG ; Xiao-Ni KONG ; Jiu-Wang MIAO ; Cai-Xia ZHANG ; Hai-Lun LI ; Yun HAN
China Journal of Chinese Materia Medica 2025;50(5):1247-1254
This study investigated the effect of Wuling San on transforming growth factor-β1(TGF-β1)-induced fibrosis, inflammation, and oxidative stress in human renal tubular epithelial cells(HK-2) and its mechanism of antioxidant stress injury. HK-2 cells were cultured in vitro and divided into a control group, a TGF-β1 model group, and three treatment groups receiving Wuling San-containing serum at low(2.5%), medium(5.0%), and high(10.0%) doses. TGF-β1 was used to establish the model in all groups except the control group. CCK-8 was used to analyze the effect of different concentrations of Wuling San on the activity of HK-2 cells with or without TGF-β1 stimulation. The expression of key fibrosis molecules, including actin alpha 2(Acta2), collagen type Ⅰ alpha 1 chain(Col1α1), collagen type Ⅲ alpha 1 chain(Col3α1), TIMP metallopeptidase inhibitor 1(Timp1), and fibronectin 1(Fn1), was detected using qPCR. The expression levels of inflammatory cytokines, including tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), interleukin-6(IL-6), interleukin-8(IL-8), and interleukin-4(IL-4), were measured using ELISA kits. Glutathione peroxidase(GSH-Px), malondialdehyde(MDA), catalase(CAT), and superoxide dismutase(SOD) biochemical kits were used to analyze the effect of Wuling San on TGF-β1-induced oxidative stress injury in HK-2 cells, and the expression of nuclear factor E2-related factor 2(Nrf2), heme oxygenase 1(HO-1), and NAD(P)H quinone oxidoreductase 1(NQO1) was analyzed by qPCR and immunofluorescence. The CCK-8 results indicated that the optimal administration concentrations of Wuling San were 2.5%, 5.0%, and 10.0%. Compared with the control group, the TGF-β1 model group showed significantly increased levels of key fibrosis molecules(Acta2, Col1α1, Col3α1, Timp1, and Fn1) and inflammatory cytokines(TNF-α, IL-1β, IL-6, IL-8, and IL-4). In contrast, the Wuling San administration groups were able to dose-dependently inhibit the expression levels of key fibrosis molecules and inflammatory cytokines compared with the TGF-β1 model group. Wuling San significantly increased the activities of GSH-Px, CAT, and SOD enzymes in TGF-β1-stimulated HK-2 cells and significantly inhibited the level of MDA. Furthermore, compared with the control group, the TGF-β1 model group exhibited a significant reduction in the expression of Nrf2, HO-1, and NQO1 genes and proteins. After Wuling San intervention, the expression of Nrf2, HO-1, and NQO1 genes and proteins was significantly increased. Correlation analysis showed that antioxidant stress enzymes(GSH-Px, CAT, and SOD) and Nrf2 signaling were significantly negatively correlated with key fibrosis molecules and inflammatory cytokines in the TGF-β1-stimulated HK-2 cell model. In conclusion, Wuling San can inhibit TGF-β1-induced fibrosis in HK-2 cells by activating the Nrf2 signaling pathway, improving oxidative stress injury, and reducing inflammation.
Humans
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Oxidative Stress/drug effects*
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Transforming Growth Factor beta1/metabolism*
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Fibrosis/genetics*
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Cell Line
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Drugs, Chinese Herbal/pharmacology*
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Epithelial Cells/immunology*
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Inflammation/metabolism*
2.Multifaceted mechanisms of Danggui Shaoyao San in ameliorating Alzheimer's disease based on transcriptomics and metabolomics.
Min-Hao YAN ; Han CAI ; Hai-Xia DING ; Shi-Jie SU ; Xu-Nuo LI ; Zi-Qiao XU ; Wei-Cheng FENG ; Qi-Qing WU ; Jia-Xin CHEN ; Hong WANG ; Qi WANG
China Journal of Chinese Materia Medica 2025;50(8):2229-2236
This study explored the potential therapeutic targets and mechanisms of Danggui Shaoyao San(DSS) in the prevention and treatment of Alzheimer's disease(AD) through transcriptomics and metabolomics, combined with animal experiments. Fifty male C57BL/6J mice, aged seven weeks, were randomly divided into the following five groups: control, model, positive drug, low-dose DSS, and high-dose DSS groups. After the intervention, the Morris water maze was used to assess learning and memory abilities of mice, and Nissl staining and hematoxylin-eosin(HE) staining were performed to observe pathological changes in the hippocampal tissue. Transcriptomics and metabolomics were employed to sequence brain tissue and identify differential metabolites, analyzing key genes and metabolites related to disease progression. Reverse transcription-quantitative polymerase chain reaction(RT-qPCR) was employed to validate the expression of key genes. The Morris water maze results indicated that DSS significantly improved learning and cognitive function in scopolamine(SCOP)-induced model mice, with the high-dose DSS group showing the best results. Pathological staining showed that DSS effectively reduced hippocampal neuronal damage, increased Nissl body numbers, and reduced nuclear pyknosis and neuronal loss. Transcriptomics identified seven key genes, including neurexin 1(Nrxn1) and sodium voltage-gated channel α subunit 1(Scn1a), and metabolomics revealed 113 differential metabolites, all of which were closely associated with synaptic function, oxidative stress, and metabolic regulation. RT-qPCR experiments confirmed that the expression of these seven key genes was consistent with the transcriptomics results. This study suggests that DSS significantly improves learning and memory in SCOP model mice and alleviates hippocampal neuronal pathological damage. The mechanisms likely involve the modulation of synaptic function, reduction of oxidative stress, and metabolic balance, with these seven key genes serving as important targets for DSS in the treatment of AD.
Animals
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Alzheimer Disease/genetics*
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Male
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Drugs, Chinese Herbal/administration & dosage*
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Mice
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Mice, Inbred C57BL
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Metabolomics
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Transcriptome/drug effects*
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Maze Learning/drug effects*
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Hippocampus/metabolism*
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Humans
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Disease Models, Animal
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Memory/drug effects*
3.Dimeric natural product panepocyclinol A inhibits STAT3 via di-covalent modification.
Li LI ; Yuezhou WANG ; Yiqiu WANG ; Xiaoyang LI ; Qihong DENG ; Fei GAO ; Wenhua LIAN ; Yunzhan LI ; Fu GUI ; Yanling WEI ; Su-Jie ZHU ; Cai-Hong YUN ; Lei ZHANG ; Zhiyu HU ; Qingyan XU ; Xiaobing WU ; Lanfen CHEN ; Dawang ZHOU ; Jianming ZHANG ; Fei XIA ; Xianming DENG
Acta Pharmaceutica Sinica B 2025;15(1):409-423
Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.
4.Expert consensus on the prevention and treatment of radiochemotherapy-induced oral mucositis.
Juan XIA ; Xiaoan TAO ; Qinchao HU ; Wei LUO ; Xiuzhen TONG ; Gang ZHOU ; Hongmei ZHOU ; Hong HUA ; Guoyao TANG ; Tong WU ; Qianming CHEN ; Yuan FAN ; Xiaobing GUAN ; Hongwei LIU ; Chaosu HU ; Yongmei ZHOU ; Xuemin SHEN ; Lan WU ; Xin ZENG ; Qing LIU ; Renchuan TAO ; Yuan HE ; Yang CAI ; Wenmei WANG ; Ying ZHANG ; Yingfang WU ; Minhai NIE ; Xin JIN ; Xiufeng WEI ; Yongzhan NIE ; Changqing YUAN ; Bin CHENG
International Journal of Oral Science 2025;17(1):54-54
Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans
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Chemoradiotherapy/adverse effects*
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Consensus
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Risk Factors
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Stomatitis/etiology*
5.The Factors Related to Treatment Failure in Children with Acute Lymphoblastic leukemia——Analysis of Multi-Center Data from Real World in Fujian Province
Chun-Xia CAI ; Yong-Zhi ZHENG ; Hong WEN ; Kai-Zhi WENG ; Shu-Quan ZHUANG ; Xing-Guo WU ; Shao-Hua LE ; Hao ZHENG
Journal of Experimental Hematology 2024;32(6):1656-1664
Objective:To analyze the related factors of treatment failure in children with acute lymphoblastic leukemia (ALL)in real-world.Methods:The clinical data of 1414 newly diagnosed children with ALL admitted to five hospital in Fujian province from April 2011 to December 2020 were retrospectively analyzed.Treatment failure was defined as relapse,non-relapse death,and secondary tumor.Results:Following-up for median time 49.7 (0.1-136. 9)months,there were 269 cases (19.0%)treatment failure,including 140 cases (52.0%)relapse,and 129 cases (48.0%)non-relapse death.Cox univariate and multivariate analysis showed that white WBC≥50 ×109/L at newly diagnosis,acute T-cell lymphoblastic leukemia (T-ALL),BCR-ABL1,KMT2A-rearrangement and poor early treatment response were independent risk factor for treatment failure (all HR>1.000,P<0.05).The 5-year OS of 140 relapsed ALL patients was only 23.8%,with a significantly worse prognosis for very early relapse (relapse time within 18 months of diagnosis).Among 129 patients died from non-relapse death,71 cases (26.4%)were died from treatment-related complications,56 cases (20.8%)died from treatment abandonment,and 2 cases (0.7%)died from disease progression.Among them,treatment-related death were significantly correlated with chemotherapy intensity,while treatment abandonment were mainly related to economic factors.Conclusion:The treatment failure of children with ALL in our province is still relatively high,with relapse being the main cause of treatment failure,while treatment related death and treatment abandonment caused by economic factors are the main causes of non-relapse related death.
6.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
7.Research on patient motion monitoring with domestic innovative integrated radiotherapy CybeRay ? real-time imaging for frameless stereotactic radiosurgery
Lihong CAI ; Wenbo GUO ; Jing NIE ; Yali WU ; Minjie ZHANG ; Huina SUN ; Xinsheng XU ; Gaoqing FENG ; Rui ZHANG ; Qingfang JIANG ; Yu ZHANG ; Yubing XIA
Chinese Journal of Radiation Oncology 2024;33(12):1138-1143
Objective:To determine the motion detection uncertainty of the real-time CybeRay ? imaging system and patient intrafractional motion with thermoplastic mask-based immobilization. Methods:Real-time CybeRay ? imaging system was used for irradiation and treatment for head phantom and patients with brain tumors. All patients were immobilized with thermoplastic masks. Real-time imaging was delivered using kilovoltage projection images during radiotherapy. The detected patient motion data was collected from 5 head phantom measurements and 27 treatment fractions of 9 brain tumor patients admitted to Kaifeng Cancer Hospital. The accuracy and uncertainty of the motion monitoring system were determined. Results:The mean and standard deviation (SD) of the detected motion in the X, Y, and Z directions for phantom were (-0.02±0.41) mm, (-0.05±0.22) mm and (0.01±0.35) mm, respectively. The detected motion in the X, Y and Z directions for patents were (-0.13±0.48) mm, (-0.05±0.48) mm and (0.11±0.36) mm, respectively. After removing the motion detection uncertainty, the actual intrafractional motion of patients were (-0.11±0.25) mm, (0±0.43) mm and (0.10±0.08) mm in three directions, respectively. Conclusions:The uncertainty of real-time imaging-based motion monitoring system of CybeRay ? is less than 0.5 mm. It is feasible to apply thermoplastic masks for brain tumor patients in clinical practice, which can provide steady immobilization and limit the SD of patient intrafractional motion within 0.5 mm. Real-time imaging-based motion monitoring system of CybeRay ? is accurate for patient motion monitoring during frameless stereotactic radiosurgery/radiotherapy.
8.Investigation of Adductive Characteristics of Sulfur Mustards with Active Thiols
Meng-Yao ZHANG ; Jin-Long CAI ; Meng-Qiang GONG ; Bin XU ; Jian-Feng WU ; Hai-Xia WU ; Jian-Wei XIE
Chinese Journal of Analytical Chemistry 2024;52(7):995-1003,中插30-中插34
An analytical method based on ultra high performance liquid chromatography-high resolution tandem mass spectrometry(UHPLC-HRMS/MS)and high performance liquid chromatography-triple quadrupole mass spectrometry(HPLC-TQ MS)was established to reveal the characteristics of various sulfur mustard analogs with different active thiol molecules in CWC Schedule 1.A.04.Firstly,the toxic agents were prepared by micro-directed synthesis,and then the differences of the reactivity and abundance of formed adducts between different sulfur mustards and glutathione(GSH),cysteine(Cys)and N-acetylcysteine(NAC)in incubation solution,plasma and cell were investigated,respectively.The results indicated that all target sulfur mustards could react with three kinds of thiol molecules.The content of Cys and sulfur mustard adducts in plasma was higher than that of GSH and sulfur mustard adducts,while NAC and sulfur mustard adducts might have fewer types of adducts due to low content or poor mass spectrometry response.Additionally,the content of GSH and sulfur mustard adducts in exposed cells was higher than that of Cys,which should be due to the significant difference in the content of thiol molecules in plasma and cells.
9.Application of Bayesian probabilistic linkage model in birth and death data linking
Huiting YU ; Renzhi CAI ; Weixiao LIN ; Jingyi NI ; Naisi QIAN ; Tian XIA ; Fan WU
Shanghai Journal of Preventive Medicine 2024;36(1):98-103
ObjectiveTo elucidate the principles and methods of the Bayesian probabilistic linkage model, and to demonstrate the effect of applying the model in linking birth and death data. MethodsThrough the Shanghai birth and death registration system, data of 199 025 infants born in 2017 and 1 512 infants who died in 2017 and 2018 were collected. After cleaning the data, the data were divided into monthly blocks and fully linked. The Jaro-Winkler algorithm and Euclidean distance were employed to measure the similarity of fields for matching. A Bayesian probabilistic linkage model was constructed and the linking effect was evaluated using a confusion matrix. ResultsUsing the Bayesian probabilistic linkage model, the birth and death data of infants were effectively linked, revealing that 36.71% of infants who died in Shanghai were born outside the city, and the probability of infant death was 2.6‰. The confusion matrix of the test set showed a recall rate of 0.86, precision of 0.76, and an F-score of 0.81. ConclusionThe practical application of Bayesian probabilistic linkage demonstrates a good model performance, enabling the establishment of birth-death cohorts that more accurately reflect the true levels of infant mortality. Utilizing this technique to integrate data from different departments can effectively improve research efficiency in the field of public health.
10.Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models: A Cross-sectional Study in Rural Guangxi
Jian Yu LIANG ; Hui Jia RONG ; Xiu Xue WANG ; Sheng Jian CAI ; Dong Li QIN ; Mei Qiu LIU ; Xu TANG ; Ting Xiao MO ; Fei Yan WEI ; Xia Yin LIN ; Xiang Shen HUANG ; Yu Ting LUO ; Yu Ruo GOU ; Jing Jie CAO ; Wu Chu HUANG ; Fu Yu LU ; Jian QIN ; Yong Zhi ZHANG
Biomedical and Environmental Sciences 2024;37(1):3-18
Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95% confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

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