1.Investigation of Helicobacter pylori infection and analysis of risk factors in permanent residents in a certain area
Xuemei XU ; Jun LIU ; Lamei HAN ; Danni LU ; Ting HE
Journal of Public Health and Preventive Medicine 2025;36(2):78-81
Objective To analyze the status and risk factors of Helicobacter pylori (Hp) infection in permanent residents in a certain area. Methods The clinical data of 6 792 permanent residents surveyed from January 2021 to December 2023 were retrospectively analyzed. All subjects underwent 13C-urea breath test,and relevant general information was collected to analyze Hp infection status. According to whether Hp infection occurred, they were divided into positive group (n=4 283) and negative group (n=2 509). The differences in general information, living habits, and dietary habits between the two groups of subjects were analyzed, and multivariate logistic regression analysis was conducted. Results Among the 6 792 permanent residents surveyed from January 2021 to December 2023, 4283 were positive for 13C-urea breath test, accounting for 63.05% of the total. There were statistically significant differences in age distribution, gender, BMI, tableware cleaning, personal hygiene products use, chopsticks use, and raw food and vegetable cleaning between the positive group and the negative group (P<0.05). The single factors of Hp infection were substituted into multivariate logistic regression analysis equation, and it was found that age ≥45 years old, male, BMI≥24, no use of detergents to clean utensils, sharing personal hygiene products, not using public chopsticks, having a habit of eating raw food, and not cleaning vegetables before eating were independent risk factors for Hp infection. Conclusion The positive rate of Hp infection in this area is relatively high, and the infection factors are related to age, gender, and some lifestyle and dietary habits.
2.Reversal of trastuzumab resistance in gastric cancer cells by targeting GPRC5A with miR-195-5p
Xianjun ZHU ; Danni ZHANG ; Xijun LUO ; Junjie LIANG ; Tao LI ; Xingkui TANG ; Jialin HE ; Wei LI
Chinese Journal of Clinical Pharmacology and Therapeutics 2025;30(7):929-934
AIM:To explore the role of miR-195-5p in mediating trastuzumab resistance in gastric cancer and to validate its potential as a therapeutic target along with its target gene GPRC5A.METH-ODS:Trastuzumab-resistant gastric cancer cell lines(NCI-N87 and MKN45)were established.Cell viabili-ty under trastuzumab treatment was assessed us-ing CCK-8 assays.Expression levels of miR-195-5p were determined by RT-qPCR.Transfection with miR-195-5p mimics was performed to evaluate changes in trastuzumab sensitivity and prolifera-tion.GPRC5A expression was also measured by RT-qPCR,and the targeting relationship between miR-195-5p and GPRC5A was confirmed using a dual-lu-ciferase reporter assay.RESULTS:Parental cells showed higher sensitivity to trastuzumab than re-sistant cells,with miR-195-5p expression signifi-cantly lower in the latter.Overexpression of miR-195-5p in resistant cells enhanced trastuzumab sen-sitivity and reduced proliferation.GPRC5A was found to be upregulated in resistant cells,and miR-195-5p directly targeted GPRC5A,affecting cell pro-liferation under trastuzumab treatment.CONCLU-SION:miR-195-5p may regulate trastuzumab sensi-tivity in gastric cancer by targeting GPRC5A,sug-gesting potential as a molecular marker for trastu-zumab therapy guidance.
3.The plague epidemic and environmental factors in Lincang City from 1990 to 2020: a multiple correspondence analysis
Tingzao FU ; Yuqiu HE ; Danni ZHAO ; Shilian WANG ; Junjie ZHU
Chinese Journal of Endemiology 2025;44(2):128-132
Objective:This study aims to investigate the relationship between plague epidemics and environmental factors in Lincang City.Methods:Epidemiological survey data and environmental factors (including altitude, temperature, rainfall, and season) from plague occurrence sites in Lincang City from 1990 to 2020 were collected from Lincang Center for Disease Control and Prevention and the data sharing platform of the data sharing service network of the China Meteorological Administration, and analyzed using multiple correspondence analysis (MCA).Results:From 1990 to 2005, a total of 38 outbreaks of plague among rodents had been reported, 17 of which involved human beings. Since 2006, the plague had entered a dormant period, with no further epidemics reported up to 2020. The plague epidemic in Lincang City exhibited a clear seasonal variation, with the primary epidemic season occurred from autumn to early winter, peaking in September and October. Furthermore, the plague epidemic in Lincang City exhibited a pronounced spatial aggregation, with the primary affected regions including Linxiang County, Gengma Dai and Va Autonomous County, Zhenkang County, and Yun County. MCA showed that the Cronbach' α coefficients of all variables in the first and second dimensions were 0.87 and 0.82, respectively, and the characteristic roots were 3.27 and 2.91, respectively. The cumulative contribution rate of the two dimensions was 84.60%. Plague outbreaks were more likely in winter in areas at altitudes of > 1 400 - 1 650 m with 1 000 - 1 200 mm average annual rainfall and 16.0 - 17.9 ℃ average annual temperature, with increased severity. Regions at altitudes of > 500 - 700 m and > 900 - 1 150 m, with average annual rainfall of < 1 000, 1 201 - 1 400 and > 1 600 mm and average annual temperature of 18.0 - 19.9 ℃, showed a higher susceptibility to plague outbreaks, with notably pronounced incidences.Conclusions:The prevalence of plague epidemics is closely related to the local climatic conditions of natural foci in Lincang City. Therefore, it is imperative to enhance the monitoring of these climatic conditions, particularly meteorological data, to facilitate more effective prevention and control of plague outbreaks.
4.Analysis of influencing factors on the trajectories of psychological symptom clusters in pregnant women with assisted reproductive technology and nursing revelation
Danni SONG ; Shuang HU ; Congshan PU ; Yiting WANG ; Jin HE ; Yajie DING ; Chunjian SHAN
Chinese Journal of Nursing 2025;60(10):1209-1216
Objective To explore the trajectory of psychological symptom clusters in pregnant women with assisted reproductive technology(ART),and analyze the influencing factors of each trajectory subgroups,in order to provide a theoretical basis for the management of psychological health during pregnancy in pregnant women with ART.Methods A total of 205 pregnant women who had conceived using ART were sampled from the obstetrics clinic of a tertiary hospital in Nanjing from August 2023 to April 2024 using a convenient sampling method.The baseline data were assessed by general information questionnaire,Symptom Checklist-90,Distress Disclosure Index and Positive Psychological Capital Questionnaire at 10-14 weeks gestation,and the follow-up information was assessed by Symptom Checklist-90 at 22-26 weeks of gestation and 34-38 weeks of gestation.Exploratory factor analysis was used to extract symptom clusters;the latent class growth mixture model was used to identify the track categories;the multiple logistic regression analysis was used to analyze the influencing factors of the track.Results 180 cases were finally included.By exploratory factor analysis,5,4 and 5 factors were extracted at 3 time points respectively.Trajectories of psychological symptom clusters in pregnant women with ART is divided into 3 potential classes:low level-slow relieving group(28.89%),high level-significant increasing group(6.11%),medium level-slow increasing group(65.00%).Logistic regression analyses showed that duration of infertility,number of ART,literacy,pain self-expression and positive psychological capital were influential factors in the potential categories of psychological symptom clusters in pregnant women conceived with ART(all P<0.05).Conclusion The trajectory of psychological symptom clusters in pregnant women with ART was divided into 3 potential classes.Medical workers could develop corresponding interventions based on the influencing factors and implement comprehensive and efficient symptom management.
5.Stenotrophomonas maltophilia induces RAW 264.7 inflammation by activating ferroptosis
Niri SU ; Yuhong HE ; Chong PENG ; Zeming ZHOU ; Danni LI ; Xiaoyu HU ; Yunhe FU
Chinese Journal of Veterinary Science 2025;45(8):1650-1656
The objective of this study was to investigate whether Stenotrophomonas maltophilia(S.maltophilia)induces ferroptosis,a form of iron-dependent cell death,leading to an inflamma-tory response in RAW 264.7 macrophages by elevating oxidative stress levels.RAW 264.7 cells were stimulated with varying concentrations of S.maltophilia.The concentrations of TNF-αand IL-1β were quantified using ELISA kits to assess the impact of S.maltophilia on the inflammatory response in RAW 264.7 cells.The activities of glutathione(GSH)and malondialdehyde(MDA)levels were measured using GSH and MDA assay kits to evaluate changes in oxidative stress.West-ern blot analysis was employed to detect the expression levels of COX-2,xCT,GPX4,and other proteins involved in ferroptosis signaling pathways,thereby investigating the effect of S.malto-philia on ferroptosis in RAW 264.7 cells.The results demonstrated that S.maltophilia induced concentration-dependent increases in inflammation and oxidative stress in RAW 264.7 cells,up-regulated the expression of COX-2 protein and down-regulated the expression of xCT and GPX4.Pretreatment with the ROS inhibitor N-acetylcysteine(NAC)significantly mitigated the S.malto-philia-induced oxidative stress and ferroptosis signaling activation,thereby alleviating the inflam-matory response.Furthermore,treatment with the ferroptosis inhibitor Fer-1 directly suppressed the activation of the ferroptosis signaling pathway and reversed the inflammation induced by S.maltophilia.These findings suggest that S.maltophilia triggers inflammation in RAW 264.7 cells by activating the ferroptosis signaling pathway via an increase in oxidative stress levels.
6.Correlation study between dietary patterns and glucose and delivery outcomes in gestational diabetes mellitus based on social jet lag
Jin HE ; Yiting WANG ; Chunjian SHAN ; Congshan PU ; Guifeng HU ; Danni SONG ; Juan WANG
Chinese Journal of Practical Nursing 2025;41(22):1702-1709
Objective:To investigate dietary patterns under social jet lag in pregnant women with gestational diabetes mellitus (GDM) and analyze its relationship with blood glucose control and delivery outcomes, to provide a reference for comprehensive management of pregnant women with GDM.Methods:A cross-sectional study method was used to select pregnant women with GDM during their stay in the obstetrics ward of the Obstetrics and Gynaecology Hospital of Nanjing Medical University from October 2022 to December 2023 as the study population. Social jet lag and dietary information were collected using Simplified Food Frequency Questionnaire and Self-assessment Questionnaire on Social Jet Lag. Spearman correlation analysis was used to analyze the correlation between dietary patterns and blood glucose control as well as delivery outcomes. Receiver operating characteristic curve was used to analyze the predictive performance of social jet lag, dietary patterns and fasting blood glucose for cesarean section.Results:A total of 350 pregnant women with GDM were included, 140 pregnant women with social time lag, aged (31.97 ± 3.88) years old; 210 pregnant women without social time lag, aged (32.32 ± 3.91) years old. The plant-based dietary pattern factor, fast food dietary pattern factor, and the intakes of protein, fat, and carbohydrates of pregnant women with social jet lag were -0.06 (-0.25, 0.32) and 0.08 (-0.43, 0.66), (119.57 ± 89.77) g, (82.69 ± 59.48) g, (228.77 ± 140.18) g, compared with pregnant women without social jet lag [-0.21 (-0.39, 0.08), -0.24 (-0.57, 0.07), (86.29 ± 47.75) g, (57.31 ± 37.86) g, (170.79 ± 85.56) g], the differences were statistically significant ( Z=-2.39, -2.86, t=81.43, 90.78, 88.34, all P<0.05). The social jet lag of GDM women was positively correlated with plant-based dietary patterns, fast food dietary patterns, fasting blood glucose, glycated hemoglobin and cesarean section ( r values were 0.19-0.24, all P<0.05). The plant-based dietary pattern of pregnant women with GDM was negatively correlated with fasting blood glucose and cesarean section ( r=-0.17, -0.24, both P<0.05), while the fast food dietary pattern was positively correlated with fasting blood glucose and cesarean section ( r=0.20, 0.19, both P<0.05). The area under the curve in the combined prediction of multiple factors such as social jet lag, plant-based dietary pattern, fast food dietary pattern and fasting blood glucose for the outcome of cesarean section during pregnancy was 0.742. Conclusions:The dietary structure of GDM women with social jet lag is unreasonable, consume more carbohydrates, sugar, and fats, which are associated with poor glycemic control and increased cesarean section rate. Medical staff should be alerted to social jet lag preferences and dietary intake of GDM and include them in the risk assessment of adverse outcomes of GDM, give timely correction and strengthen management, which can provide a reference for early preventive interventions for GDM with different risk stratification.
7.Analysis of influencing factors on the trajectories of psychological symptom clusters in pregnant women with assisted reproductive technology and nursing revelation
Danni SONG ; Shuang HU ; Congshan PU ; Yiting WANG ; Jin HE ; Yajie DING ; Chunjian SHAN
Chinese Journal of Nursing 2025;60(10):1209-1216
Objective To explore the trajectory of psychological symptom clusters in pregnant women with assisted reproductive technology(ART),and analyze the influencing factors of each trajectory subgroups,in order to provide a theoretical basis for the management of psychological health during pregnancy in pregnant women with ART.Methods A total of 205 pregnant women who had conceived using ART were sampled from the obstetrics clinic of a tertiary hospital in Nanjing from August 2023 to April 2024 using a convenient sampling method.The baseline data were assessed by general information questionnaire,Symptom Checklist-90,Distress Disclosure Index and Positive Psychological Capital Questionnaire at 10-14 weeks gestation,and the follow-up information was assessed by Symptom Checklist-90 at 22-26 weeks of gestation and 34-38 weeks of gestation.Exploratory factor analysis was used to extract symptom clusters;the latent class growth mixture model was used to identify the track categories;the multiple logistic regression analysis was used to analyze the influencing factors of the track.Results 180 cases were finally included.By exploratory factor analysis,5,4 and 5 factors were extracted at 3 time points respectively.Trajectories of psychological symptom clusters in pregnant women with ART is divided into 3 potential classes:low level-slow relieving group(28.89%),high level-significant increasing group(6.11%),medium level-slow increasing group(65.00%).Logistic regression analyses showed that duration of infertility,number of ART,literacy,pain self-expression and positive psychological capital were influential factors in the potential categories of psychological symptom clusters in pregnant women conceived with ART(all P<0.05).Conclusion The trajectory of psychological symptom clusters in pregnant women with ART was divided into 3 potential classes.Medical workers could develop corresponding interventions based on the influencing factors and implement comprehensive and efficient symptom management.
8.Stenotrophomonas maltophilia induces RAW 264.7 inflammation by activating ferroptosis
Niri SU ; Yuhong HE ; Chong PENG ; Zeming ZHOU ; Danni LI ; Xiaoyu HU ; Yunhe FU
Chinese Journal of Veterinary Science 2025;45(8):1650-1656
The objective of this study was to investigate whether Stenotrophomonas maltophilia(S.maltophilia)induces ferroptosis,a form of iron-dependent cell death,leading to an inflamma-tory response in RAW 264.7 macrophages by elevating oxidative stress levels.RAW 264.7 cells were stimulated with varying concentrations of S.maltophilia.The concentrations of TNF-αand IL-1β were quantified using ELISA kits to assess the impact of S.maltophilia on the inflammatory response in RAW 264.7 cells.The activities of glutathione(GSH)and malondialdehyde(MDA)levels were measured using GSH and MDA assay kits to evaluate changes in oxidative stress.West-ern blot analysis was employed to detect the expression levels of COX-2,xCT,GPX4,and other proteins involved in ferroptosis signaling pathways,thereby investigating the effect of S.malto-philia on ferroptosis in RAW 264.7 cells.The results demonstrated that S.maltophilia induced concentration-dependent increases in inflammation and oxidative stress in RAW 264.7 cells,up-regulated the expression of COX-2 protein and down-regulated the expression of xCT and GPX4.Pretreatment with the ROS inhibitor N-acetylcysteine(NAC)significantly mitigated the S.malto-philia-induced oxidative stress and ferroptosis signaling activation,thereby alleviating the inflam-matory response.Furthermore,treatment with the ferroptosis inhibitor Fer-1 directly suppressed the activation of the ferroptosis signaling pathway and reversed the inflammation induced by S.maltophilia.These findings suggest that S.maltophilia triggers inflammation in RAW 264.7 cells by activating the ferroptosis signaling pathway via an increase in oxidative stress levels.
9.Comparison of predictive performance of three machine learning algorithms for frailty risk in elderly heart failure patients
Xin ZHANG ; Xuemei ZHOU ; Meng LI ; Jiamin TANG ; Danni MA ; Hong HE
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(10):1330-1334
Objectives To construct frailty risk prediction models based on logistic regression anal-ysis,decision tree and random forest algorithm in elderly patients with heart failure(HF),and to compare the predictive performance of three models.Methods A total of 426 elderly HF patients hospitalized in the Affiliated Hospital of Nantong University from September 2022 to October 2023 were selected using convenience sampling.Based on the results of frailty assessment,194 of them were classified into the frail group and the other 232 into the non-frail group.The 426 patients were divided into training(299 casses)and testing sets(127 cases)in a 7∶3 ratio.Three prediction models were then constructed in the training set,while the test set was used to validate the results.Area under curve and confusion matrix were used to measure performance of the mod-els.The optimal model was then selected by evaluating the performance on the testing set.Results The area under curve value of the logistic regression model,decision tree model and random forest model in the testing set was 0.898,0.825 and 0.903,with a classification accuracy of 84.25%,77.95%and 83.46%,a sensitivity of 82.76%,68.97%and 82.76%,a specificity of 85.51%,85.51%and 84.06%,a positive predictive value of 82.76%,80.00%and 81.36%,and a negative predictive value of 85.51%,76.62%and 85.29%,respectively.The factors that ultimately affecting frailty in elderly HF patients were age,left atrial diameter,depression,albumin,physical activity level and social support.Conclusion Among the three prediction models,the logistic regression model demonstrates best predictive performance for frailty risk in elderly HF patients than the decision tree and random forest models.
10.The plague epidemic and environmental factors in Lincang City from 1990 to 2020: a multiple correspondence analysis
Tingzao FU ; Yuqiu HE ; Danni ZHAO ; Shilian WANG ; Junjie ZHU
Chinese Journal of Endemiology 2025;44(2):128-132
Objective:This study aims to investigate the relationship between plague epidemics and environmental factors in Lincang City.Methods:Epidemiological survey data and environmental factors (including altitude, temperature, rainfall, and season) from plague occurrence sites in Lincang City from 1990 to 2020 were collected from Lincang Center for Disease Control and Prevention and the data sharing platform of the data sharing service network of the China Meteorological Administration, and analyzed using multiple correspondence analysis (MCA).Results:From 1990 to 2005, a total of 38 outbreaks of plague among rodents had been reported, 17 of which involved human beings. Since 2006, the plague had entered a dormant period, with no further epidemics reported up to 2020. The plague epidemic in Lincang City exhibited a clear seasonal variation, with the primary epidemic season occurred from autumn to early winter, peaking in September and October. Furthermore, the plague epidemic in Lincang City exhibited a pronounced spatial aggregation, with the primary affected regions including Linxiang County, Gengma Dai and Va Autonomous County, Zhenkang County, and Yun County. MCA showed that the Cronbach' α coefficients of all variables in the first and second dimensions were 0.87 and 0.82, respectively, and the characteristic roots were 3.27 and 2.91, respectively. The cumulative contribution rate of the two dimensions was 84.60%. Plague outbreaks were more likely in winter in areas at altitudes of > 1 400 - 1 650 m with 1 000 - 1 200 mm average annual rainfall and 16.0 - 17.9 ℃ average annual temperature, with increased severity. Regions at altitudes of > 500 - 700 m and > 900 - 1 150 m, with average annual rainfall of < 1 000, 1 201 - 1 400 and > 1 600 mm and average annual temperature of 18.0 - 19.9 ℃, showed a higher susceptibility to plague outbreaks, with notably pronounced incidences.Conclusions:The prevalence of plague epidemics is closely related to the local climatic conditions of natural foci in Lincang City. Therefore, it is imperative to enhance the monitoring of these climatic conditions, particularly meteorological data, to facilitate more effective prevention and control of plague outbreaks.


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