1.Impacts of carnosic acid on learning and cognitive function in epileptic rats by regulating PKA-CREB signaling pathway
Xiaoyan LIANG ; Haimin WANG ; Biao GENG ; Ruixue MAN ; Guangwei REN
Chinese Journal of Immunology 2025;41(6):1388-1393
Objective:To explore the impacts of carnosic acid(CA)on learning and cognitive function in epileptic rats and the mechanism of regulating PKA-CREB signaling pathway in this process.Methods:Epilepsy rat models were prepared by intraperi-toneal injection of 50 mg/kg PTZ.After successful modeling,the rats were randomly grouped into control group,model group,CA low-dose group,CA high-dose group,CA high+PKA inhibitor group(CA high+H-89 group),with 15 rats in each group.The epileptic be-havior of rats in each group was evaluated;Morris water maze experiment was applied to test the cognitive ability of rats;HE staining and Nissl staining were applied to detect the morphology of hippocampal tissue and neurons of rats in each group;ELISA was applied to detect the contents of IL-1β,TNF-α,MDA,and the SOD activity in the hippocampus of rats in each group;and Western blot was applied to detect the protein expressions of PKA,p-PKA,CREB,p-CREB and BDNF in the hippocampus of rats in each group.Results:Compared with control group,the hippocampal neurons of rats in model group were irregularly arranged,with pyknosis of the nuclei,and the number of neurons decreased,the epilepsy frequency,Racine grading,escape latency,time of first platform crossing,and levels of IL-1β,TNF-α and MDA all increased,the frequency of crossing the platform,SOD activity,p-PKA/PKA,p-CREB/CREB,and the expression of BDNF protein all reduced(P<0.05);compared with model group,the arrangement of neuronal cells in hippocampal tissue of rats in CA group gradually became orderly,nuclear pyknosis gradually decreased,and the number of neurons increased,the epilepsy frequency,Racine grading,escape latency,time of first platform crossing,and levels of IL-1β,TNF-α and MDA all reduced,the frequency of crossing the platform,SOD activity,p-PKA/PKA,p-CREB/CREB,and the expression of BDNF protein all increased(P<0.05);further injection of PKA inhibitors on the basis of high-dose CA treatment showed that the improvement effects of high-dose CA on cognitive dysfunction,neuronal damage,inflammation,and oxidative stress in epileptic rats were reversed(P<0.05).Conclusion:CA can improve the learning and cognitive function of epileptic rats by activating the PKA-CREB signaling pathway.
2.An Epithelial Senescence Model Induced by Doxorubicin in MCF 10A Cells
Zeng-Sheng WANG ; Zu-Biao NIU ; Bo ZHANG ; Jia-Hui HAO ; Yi-Chao ZHU ; Rui-Gang YANG ; He REN ; Chen-Yu LIU ; Qiang SUN ; Li-Cheng REN
Chinese Journal of Biochemistry and Molecular Biology 2025;41(1):147-155
This research aims to construct a stable epithelial cell senescence model for screening and e-valuation of senolytics.We explored the optimal conditions for doxorubicin-induced senescence of non-transformed epithelial cells MCF 10A,including the optimal induction concentration,the optimal inter-vention time,and the optimal senescence duration,and confirmed the feasibility of MCF 10A as an epi-thelial senescence model by multiple ways.The optimal condition for Doxorubicin-induced senescence of MCF 10A cells was treatment with 0.6 μmol/L Doxorubicin for 16 h to achieve the best senescence state on the 8th day.Under the optimal induction conditions,the positive rate of senescence-associated β-gal-actosidase(SA-β-gal)staining in the treated group reached 97%.At the same time,biochemical results of detecting the expression of mRNA,proteins,and immunofluorescence demonstrated that the expression levels of senescence-associated secretory phenotype(SASP),p16,p21 and p53 in the treated group were significantly higher than those in the control cells,and Lamin B1 was significantly decreased(P<0.001),which were consistent with the specific characteristics of senescence.In summary,an epithelial senescence model was successfully induced in MCF 10A cells by Doxorubicin in this study,which will promote the screening of senolytics for senescent epithelial cells.
3.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
4.Research on the association between tetracyclines use during pregnancy and congenital malformations in offspring
Jin GUO ; Peng ZHAO ; Chunrong LIU ; Mingyu LIAO ; Jingwen CHEN ; Jianru WU ; Yan REN ; Biao RONG ; Huanyang QI ; Moliang CHEN ; Xin SUN ; Jing TAN ; Yiquan XIONG
Adverse Drug Reactions Journal 2025;27(9):530-536
Objective:To explore the association between the use of tetracyclines during pregnancy and congenital malformations, with the aim of providing evidence-based guidance for the rational use of antibiotics during pregnancy.Methods:Data from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) and the Canada Vigilance Adverse Reaction (CVAR) database from January 2015 to September 2024 were collected. Five methods including Tree-based scan statistic (TreeScan), proportional reporting ratio (PRR), reporting odds ratio (ROR), the UK Medicines and Healthcare Products Regulatory Agency (MHRA) comprehensive standard, and the Bayesian confidence propagation neural network (BCPNN) were used to detect signals of risk for congenital malformations in offspring following maternal use of tetracyclines during pregnancy. A signal that met the threshold criteria of all above 5 methods was considered as a risk signal. Based on population-based cohort of the drug exposures and adverse pregnancy outcomes (DEEP) data from January 2013 to December 2021 in Xiamen City, propensity score matching (PSM)-based Poisson regression was applied to evaluate the association between the first-trimester tetracyclines exposure and congenital malformations in offspring. Adjusted relative risk (a RR) and its 95% confidence interval ( CI) were calculated. Sensitivity analysis was conducted to validate the reliability of the results. Results:A total of 304 098 reports of adverse events during pregnancy were obtained from the FAERS and CVAR databases. Among them, 5 028 reports were related to tetracyclines, including 1 026 reports of congenital malformations in offspring, involving congenital malformations of musculoskeletal system, other digestive system, and other congenital malformations. Signal detection results suggested that tetracyclines may be a risk signal for above congenital malformations in offspring. The DEEP data included 411 936 pregnant women. After PSM, 240 pregnant women exposed to tetracyclines were included. The results showed no significant association between the first-trimester tetracyclines exposure and congenital malformations in offspring (a RR=0.75, 95% CI: 0.26-2.17), sensitivity analysis also showed no correlation. Conclusions:Data mining from the FAERS and CVAR databases suggests a potential association between tetracyclines use during pregnancy and congenital malformations in offspring. However, the DEEP data study shows no significant correlation.
5.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
6.Impacts of carnosic acid on learning and cognitive function in epileptic rats by regulating PKA-CREB signaling pathway
Xiaoyan LIANG ; Haimin WANG ; Biao GENG ; Ruixue MAN ; Guangwei REN
Chinese Journal of Immunology 2025;41(6):1388-1393
Objective:To explore the impacts of carnosic acid(CA)on learning and cognitive function in epileptic rats and the mechanism of regulating PKA-CREB signaling pathway in this process.Methods:Epilepsy rat models were prepared by intraperi-toneal injection of 50 mg/kg PTZ.After successful modeling,the rats were randomly grouped into control group,model group,CA low-dose group,CA high-dose group,CA high+PKA inhibitor group(CA high+H-89 group),with 15 rats in each group.The epileptic be-havior of rats in each group was evaluated;Morris water maze experiment was applied to test the cognitive ability of rats;HE staining and Nissl staining were applied to detect the morphology of hippocampal tissue and neurons of rats in each group;ELISA was applied to detect the contents of IL-1β,TNF-α,MDA,and the SOD activity in the hippocampus of rats in each group;and Western blot was applied to detect the protein expressions of PKA,p-PKA,CREB,p-CREB and BDNF in the hippocampus of rats in each group.Results:Compared with control group,the hippocampal neurons of rats in model group were irregularly arranged,with pyknosis of the nuclei,and the number of neurons decreased,the epilepsy frequency,Racine grading,escape latency,time of first platform crossing,and levels of IL-1β,TNF-α and MDA all increased,the frequency of crossing the platform,SOD activity,p-PKA/PKA,p-CREB/CREB,and the expression of BDNF protein all reduced(P<0.05);compared with model group,the arrangement of neuronal cells in hippocampal tissue of rats in CA group gradually became orderly,nuclear pyknosis gradually decreased,and the number of neurons increased,the epilepsy frequency,Racine grading,escape latency,time of first platform crossing,and levels of IL-1β,TNF-α and MDA all reduced,the frequency of crossing the platform,SOD activity,p-PKA/PKA,p-CREB/CREB,and the expression of BDNF protein all increased(P<0.05);further injection of PKA inhibitors on the basis of high-dose CA treatment showed that the improvement effects of high-dose CA on cognitive dysfunction,neuronal damage,inflammation,and oxidative stress in epileptic rats were reversed(P<0.05).Conclusion:CA can improve the learning and cognitive function of epileptic rats by activating the PKA-CREB signaling pathway.
7.Research on the association between tetracyclines use during pregnancy and congenital malformations in offspring
Jin GUO ; Peng ZHAO ; Chunrong LIU ; Mingyu LIAO ; Jingwen CHEN ; Jianru WU ; Yan REN ; Biao RONG ; Huanyang QI ; Moliang CHEN ; Xin SUN ; Jing TAN ; Yiquan XIONG
Adverse Drug Reactions Journal 2025;27(9):530-536
Objective:To explore the association between the use of tetracyclines during pregnancy and congenital malformations, with the aim of providing evidence-based guidance for the rational use of antibiotics during pregnancy.Methods:Data from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) and the Canada Vigilance Adverse Reaction (CVAR) database from January 2015 to September 2024 were collected. Five methods including Tree-based scan statistic (TreeScan), proportional reporting ratio (PRR), reporting odds ratio (ROR), the UK Medicines and Healthcare Products Regulatory Agency (MHRA) comprehensive standard, and the Bayesian confidence propagation neural network (BCPNN) were used to detect signals of risk for congenital malformations in offspring following maternal use of tetracyclines during pregnancy. A signal that met the threshold criteria of all above 5 methods was considered as a risk signal. Based on population-based cohort of the drug exposures and adverse pregnancy outcomes (DEEP) data from January 2013 to December 2021 in Xiamen City, propensity score matching (PSM)-based Poisson regression was applied to evaluate the association between the first-trimester tetracyclines exposure and congenital malformations in offspring. Adjusted relative risk (a RR) and its 95% confidence interval ( CI) were calculated. Sensitivity analysis was conducted to validate the reliability of the results. Results:A total of 304 098 reports of adverse events during pregnancy were obtained from the FAERS and CVAR databases. Among them, 5 028 reports were related to tetracyclines, including 1 026 reports of congenital malformations in offspring, involving congenital malformations of musculoskeletal system, other digestive system, and other congenital malformations. Signal detection results suggested that tetracyclines may be a risk signal for above congenital malformations in offspring. The DEEP data included 411 936 pregnant women. After PSM, 240 pregnant women exposed to tetracyclines were included. The results showed no significant association between the first-trimester tetracyclines exposure and congenital malformations in offspring (a RR=0.75, 95% CI: 0.26-2.17), sensitivity analysis also showed no correlation. Conclusions:Data mining from the FAERS and CVAR databases suggests a potential association between tetracyclines use during pregnancy and congenital malformations in offspring. However, the DEEP data study shows no significant correlation.
8.An Epithelial Senescence Model Induced by Doxorubicin in MCF 10A Cells
Zeng-Sheng WANG ; Zu-Biao NIU ; Bo ZHANG ; Jia-Hui HAO ; Yi-Chao ZHU ; Rui-Gang YANG ; He REN ; Chen-Yu LIU ; Qiang SUN ; Li-Cheng REN
Chinese Journal of Biochemistry and Molecular Biology 2025;41(1):147-155
This research aims to construct a stable epithelial cell senescence model for screening and e-valuation of senolytics.We explored the optimal conditions for doxorubicin-induced senescence of non-transformed epithelial cells MCF 10A,including the optimal induction concentration,the optimal inter-vention time,and the optimal senescence duration,and confirmed the feasibility of MCF 10A as an epi-thelial senescence model by multiple ways.The optimal condition for Doxorubicin-induced senescence of MCF 10A cells was treatment with 0.6 μmol/L Doxorubicin for 16 h to achieve the best senescence state on the 8th day.Under the optimal induction conditions,the positive rate of senescence-associated β-gal-actosidase(SA-β-gal)staining in the treated group reached 97%.At the same time,biochemical results of detecting the expression of mRNA,proteins,and immunofluorescence demonstrated that the expression levels of senescence-associated secretory phenotype(SASP),p16,p21 and p53 in the treated group were significantly higher than those in the control cells,and Lamin B1 was significantly decreased(P<0.001),which were consistent with the specific characteristics of senescence.In summary,an epithelial senescence model was successfully induced in MCF 10A cells by Doxorubicin in this study,which will promote the screening of senolytics for senescent epithelial cells.
9.A survey on the intention to stay and its influencing factors among primary health care workers during COVID-19 epidemic
Jie GU ; Biao XI ; Mei FENG ; Shenhong GU ; Zhigang PAN ; Jingjing REN ; Xue XIAO ; Wei TAN ; Jiaoling HUANG ; Zhaohui DU ; Xiaoqing GU ; Shanzhu ZHU
Chinese Journal of General Practitioners 2024;23(8):839-847
Objective:To investigate the intention to stay on among primary health care workers (PHWs) during the COVID-19 epidemics and its influencing factors.Methods:An online questionnaire survey was conducted among PHWs from 62 primary health institutions in 31 provinces, autonomous regions and municipalities across China selected by multi-stage whole cluster random sampling method between May and October 2022. According to the job position, the PHWs were divided into 5 categories: general practitioners (GPs), nurses, public health doctors, managers and support staff. Intention to stay was measured using the Chinese version of the Intention to Stay Questionnaire. Multiple linear regression model was used to analyze the influencing factors of the intention to stay in PHWs of different occupational categories, including personal factors, work factors, factors related to the COVID-19 and psychological reactions.Results:A total of 3 769 PHWs from 44 community health service centers, 18 township hospitals of 27 provinces/autonomous regions and 4 municipalities participated in this survey. The mean age of participants was (37.4±9.2) years, including 2 971(78.8%) women. The mean score of intention to stay of participants was 21.7±4.1. Compared with GPs, managers had lower intention to stay ( P=0.004). Age, female, in marriage, monthly income, years of primary care service, self-evaluation of unit support function, MSQ-SF score, and PA score were positively correlated with the score of intention to stay (all P<0.05), while PHQ-9 score, EE score, and DP score were negatively correlated with the score of intention to stay (all P<0.05). The MSQ-SF scores of all occupational categories were positively correlated with the scores of intention to stay (all P<0.01). In addition, among GPs, monthly income, years of service in primary care, self-evaluation of unit support function, and PA scores were positively correlated with the score of intention to stay (all P<0.05), while PHQ-9 scores and EE scores were negatively correlated with the score of intention to stay (all P<0.05). Among nurses, age, female gender, monthly income, self-evaluation of unit support function, and PA score were positively correlated with the score of intention to stay (all P<0.05), while EE scores and retention will score were negatively associated with ( P<0.001). Among public health doctors, in marriage was positively correlated with the score of intention to stay ( P=0.018). Among managers, DP score was negatively correlated with the score of intention to stay ( P=0.001). Among support staff, female gender, monthly income, years of primary care service, self-evaluation of unit support function, and PA scores were positively correlated with the score of intention to stay (all P<0.05), while EE score and DP score were negatively correlated with intention to stay (all P<0.05). Conclusions:The intention to stay of PHWs in China during the COVID-19 was at an intermediate level, which was affected by many factors. Among them, job satisfaction was positively correlated with the intention to stay of all occupational categories, and the influencing factors of different occupational categories have some variations.
10.Construction and Evaluation of Intimate Partner Homicide Prediction Model
Wei-Ping LÜ ; Xin-Biao LIAO ; Li-Ju REN ; Xiao-Ping KONG ; Yan-Chang CHEN ; Ya-Fei CHANG ; Bin LUO
Journal of Forensic Medicine 2024;40(6):582-588
Objective To analyze the independent influencing factors of intimate partner homicide(IPH)cases,construct an IPH prediction model,and provide a basis for criminal profiling.Methods A total of 476 convicted homicide cases in Guangdong Province from January 1,2014,to December 31,2020,were collected as modeling dataset.They were divided into the IPH group(n=180)and the non-intimate partner homicide(N-IPH)group(n=296)based on whether the offender and victim were intimate partners.Logistic regression was used to build the model,the model was evaluated through the receiver operating characteristic(ROC)curve analysis and a nomogram was drawn.Inter-nal validation was conducted using ten-fold cross-validation method.A total of 126 court judgments from outside Guangdong Province from January 1,2011,to December 31,2020,were randomly col-lected for external validation.Results Through multi-factor Logistic regression analysis,7 variables were ultimately selected for inclusion in the model.The Hosmer-Lemeshow goodness of fit test result of the model was χ2=13.158,P=0.068.The ROC area under the curve(AUC)of the model was 0.939(95%CI:0.919-0.959),the cut-off value was 0.292,the sensitivity was 0.900,and the specificity was 0.865.The calibration curve was close to the ideal curve.The ten-fold cross-validation showed the accuracy of 0.863 and a Kappa value of 0.708.The external validation results showed an AUC of 0.922(95%CI:0.872-0.971),a cut-off value of 0.292,a sensitivity of 0.890,and a specificity of 0.886.The calibration curve tended to the ideal curve.Conclusion The IPH prediction model based on forensic field indicators has good predictive ability,reliable accuracy and stability,and can provide a scientific method for criminal profiling.

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