ObjectiveTo understand the infection characteristics of multidrug-resistant organisms (MDROs) in hospitalized patients in a tertiary sentinel hospital in Shanghai, so as to provide an evidence for the development of targeted prevention and control measures. MethodsData of MDROs strains and corresponding medical records of some hospitalized patients in a hospital in Shanghai from 2021 to 2023 were collected, together with an analysis of the basic information, clinical treatment, underlying diseases and sources of sample collection. ResultsA total of 134 strains of MDROs isolated from hospitalized patients in this hospital were collected from 2021 to 2023 , including 63 strains of methicillin-resistant Staphylococcus aureus (MRSA), 57 strains of carbapenem-resistant Acinetobacter baumannii (CRAB), and 14 strains of carbapenem-resistant Klebsiella pneumoniae (CRKP). Of the 134 strains, 30 strains were found in 2021, 47 strains in 2022 and 57 strains in 2023. The male-to-female ratio of patients was 2.05∶1, with the highest percentage (70.90%) in the age group of 60‒<90 years. The primary diagnosis was mainly respiratory disease, with lung and respiratory tract as the cheif infection sites. There was no statistically significant difference in the distribution of strains between different genders and infection sites (P>0.05). However, the differences in the distribution of strains between different ages and primary diagnosis were statistically significant (P<0.05). Patients who were admitted to the intensive care unit (ICU), had urinary tract intubation, were not artery or vein intubated, were not on a ventilator, were not using immunosuppresants or hormones, and were not applying radiotherapy or chemotherapy were in the majority. There was no statistically significant difference in the distribution of strains for whether received radiotherapy or chemotherapy or not (P>0.05), while the differences in the distribution of strains with ICU admission history, urinary tract intubation, artery or vein intubation, ventilator use, and immunosuppresants or hormones use or not were statistically significant (all P<0.05). The type of specimen was mainly sputum, the hospitalized ward was mainly comprehensive ICU, the sampling time was mainly in the first quarter throughout the year, the number of underlying diseases was mainly between 1 to 2 kinds, the application of antibiotics ≥4 kinds, and those who didn’t receive any surgery recently accounted for the most. There were statistically significant differences in the distribution of strains between different specimen types, wards occupied and history of ICU stay (P<0.05), but no statistically significant difference in the distribution of strains between different sampling times, number of underlying diseases and types of antibiotics applied (P>0.05). ConclusionThe situation of prevention and control on MDROs in this hospital is still serious. Focus should be placed on high-risk factors’ and infection monitoring and preventive measures should be strengthened to reduce the incidence rate of MDROs infection.

Objective To investigate the correlation between insulin resistance and interleukin-6 (IL-6), chemerin, total cholesterol (TC)/high density lipoprotein cholesterol (HDL-C) ratio, triglyceride (TG)/HDL-C ratio, low density lipoprotein cholesterol (LDL-C)/HDL-C ratio and insulin resistance in obese patients with type 2 diabetes mellitus (T2DM), and to provide scientific basis for T2DM prevention and control. Methods A total of 355 obese T2DM patients in Songjiang Hospital Affiliated to Shanghai Jiaotong University School of Medicine were selected from January 2021 to December 2023. IL-6, chemerin and lipids were detected, and the assessment of insulin resistance was conducted through the homeostasis model assessment of insulin resistance (HOMA-IR). Results Among the 355 obese T2DM patients, there were 280 cases of insulin resistance, with the incidence rate of 78.87%. The BMI, IL-6, chemerin, TC/HDL-C, LDL-C/HDL-C, and TG/HDL-C in the insulin resistance group were higher than those in the non-insulin resistance group (P<0.05). The above insulin resistant patients were divided into 4 subgroups by means of insulin resistance, and there were significant differences in BMI, IL-6, chemerin, and TG/HDL-C among the subgroups (P<0.05). IL-6, chemerin, and TG/HDL-C were positively correlated with HOMA-IR in obese T2DM patients (P<0.05), while TC/HDL-C and LDL-C/HDL-C had no significant correlation with HOMA-IR (P>0.05). BMI, IL-6, chemerin, and TG/HDL-C were all influencing factors of insulin resistance in obese T2DM patients (P<0.05). Conclusion IL-6, chemerin and TG/HDL-C are correlated with insulin resistance in obese patients with T2DM and are influencing factors for the occurrence of insulin resistance.

Objective: To analyze the effects of blue light on the formation of kidney stones. Methods: A total of 40 rats were randomly divided into 4 groups：A，B，C，and D，with 10 rats in each group.Rats in groups C and D were administered with a mixture of 10 g/L ethylene glycol，20 g/L ammonium chloride，and 100 g/L calcium gluconate via gavage (2 mL per mouse)，while rats in groups A and B received an equal volume of physiological saline via gavage.From the second day after gavage，rats in groups A and C were subjected to twice-daily blue light irradiation (one hour per session) as an intervention，while rats in groups B and D were subjected to fluorescent lamp irradiation using the same method.After 4 weeks of intervention，the 24-hour urine samples were collected，and the rats were then euthanized for the collection of blood and kidney tissue samples.Serum levels of antidiuretic hormone (ADH)，urinary Ca ，and urinary oxalate (Oxa) were measured.Levels of malondialdehyde (MDA) and superoxide dismutase (SOD) in kidney tissues were detected using ELISA.Von Kossa staining was performed to observe pathological changes in kidney tissues and the presence of calcium salt crystals in the kidneys. Results: Compared with groups A and B，groups C and D showed higher accumulation of calcium salt crystals in renal tissues，as well as elevated levels of ADH，urinary Ca ，urinary Oxa，and MDA in renal tissues, additionally，the SOD level in renal tissues was lower (P<0.05).Compared with group D，group C exhibited higher accumulation of calcium salt crystals in renal tissues，along with increased levels of ADH，urinary Ca ，urinary Oxa，and MDA in renal tissues；conversely，the SOD level in renal tissues was lower (P<0.05). Conclusion: Blue light may increase the formation of kidney stones in rats by promoting the secretion of ADH in serum and oxidative stress in kidney tissues through the brain-kidney axis.

ObjectiveTo explore the effects of genetic variation of obesity-related biological pathways and gene-obesity interactions on the incidence of gastric cancer, so as to better understand the pathogenesis of gastric cancer and help identify high-risk populations for individualized prevention of gastric cancer. MethodsA case-control study based on the Shanghai Suburban Adult Cohort and Biobank study (SSACB) was conducted on the cases with gastric cancer. A total of 267 cases with gastric cancer and 267 healthy controls matched 1∶1 by age and gender using propensity score were included in the study. After genome-wide genotyping, quality control and imputation, 19 250 single nucleotide polymorphism (SNP) sites from 115 genes in 4 obesity-related biological pathways were extracted. Univariate and multivariate logistic regression analyses were used to evaluate the association between these SNP sites and the risk of gastric cancer, and false positive report probability (FPRP) was used for multiple test correction.Data from Biobank Japan (BBJ) and FinnGen public accessible databases were used to validate significant SNP sites. For validated sites, expression quantitative trait loci (eQTL) analysis and differentially expressed genes analysis were further performed. Additive and multiplicative interactions were used to evaluate the gene-obesity interactions on the incidence of gastric cancer. Additive interaction evaluation indicators included relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP) and synergy index (SI), while multiplicative interaction evaluation indicators include OR_GxE and P_inter. ResultsA total of 41 SNP sites were significantly associated with the onset of gastric cancer (P_adj<0.05, FPRP_0.1<0.1), among which 7 groups of haplotype blocks were formed. ACACB/ rs2268401 [SSACB: P=0.005, BBJ: P=0.049], HRAS/ rs12785860 (SSACB: P<0.001, FinnGen: P=0.045), and PTPN1/ rs6095985 (SSACB: P<0.001, FinnGen: P=0.023) were significantly associated with the risk of gastric cancer after validation in different populations. Among which, the G allele of HRAS/ rs12785860 was correlated with the downregulation of HRAS mRNA expression (P<0.001), and the expression level of HRAS in gastric cancer tissues was higher than that in adjacent normal tissues (P<0.001). Additionaly, JAK1/rs11208559 showed a positive additive interaction with waist circumstance (WC) on the risk of gastric cancer [RERI=2.29(0.06~4.53), AP=0.57(0.23~0.90), SI=4.03(2.20~5.87)]. ConclusionObesity-related biological pathway SNP sites and their haplotypes are associated with the risk of gastric cancer, suggesting that genetic variations in obesity pathways may affect gastric cancer. The HRAS/ rs12785860 is significantly associated with downregulation of HRAS gene expression, which may serve as a potential genetic marker for gastric cancer. JAK1/rs11208559 interacts with obesity additively on the risk of gastric cancer. Individuals with GC+CC genotypes and pre-central or central obesity have an increased risk of gastric cancer, providing clues and evidences for individualized prevention of gastric cancer.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

ObjectiveTo investigate the infection and genotypes of Wolbachia in Aedes albopictus. MethodsAdult and larval samples of Aedes albopictus were collected from different residential and wild areas from 2020 to 2021， Wolbachia surface protein （wsp） gene was amplified and genotyped for wAlbA and wAlbB by PCR， and sequenced for phylogenetic analysis. The difference of detection rate among different habitats， male and female adult mosquitoes， adult and larvae was compared by χ² analysis. ResultsThe detection rate of Wolbachia in adult and larvae of Aedes albopictus were 43.5% （77/177） and 70.4% （190/270）， respectively， with a statistically significant difference （χ²=32.086，P<0.001）， and wAlbA and wAlbB were mainly detected together. The detection rate of Wolbachia in female and male Aedes albopictus were 50.7% （76/150） and 3.7% （1/27）， respectively， with a statistically significant difference（χ²=20.533，P<0.001）. The detection rate of adult Aedes albopictus in Songjiang wild area， residential area and Hongkou residential area were 91.7% （55/60）， 18.8% （22/117） and 41.7% （30/72）， respectively， with a statistically significant difference （χ²=54.322，P<0.001）. Genotyping and phylogenetic analysis showed that adult and larvae of Aedes albopictus infected with Wolbachia were mainly wAlb A and wAlb B. In addition， some sequences formed clades independently， and the genetic distance from other sequences was relatively large. ConclusionInfection of Wolbachia in Aedes albopictus is relatively common in Songjiang District. The main genotypes are wAlb A and wAlb B and there may be other subtypes， which are worthy of further exploration and research.

BACKGROUND:The effect of electroacupuncture on the proliferation and differentiation of hippocampal oligodendrocytes in model mice with Alzheimer's disease remains poorly understood while demyelinating reaction related to oligodendrocytes is a common pathological reaction of Alzheimer's disease. OBJECTIVE:To investigate the effects and mechanism of electroacupuncture stimulation of"Baihui"(GV 20),"Fengfu"(GV 16)and bilateral"Shenshu"(BL 23)in Alzheimer's disease model mice on the proliferation and differentiation of endogenous neural stem cells to neurons and oligodendrocytes. METHODS:Forty 6-week-old SPF APP/PS1 transgenic male Alzheimer's disease model mice were randomly divided into electroacupuncture group(n=20)and Alzheimer's disease model group(n=20).Healthy male C57BL/6J mice of the same age were used as normal controls(n=20).The mice in the electroacupuncture group received electroacupuncture at"Baihui"(GV 20),"Fengfu"(GV 16)and bilateral"Shenshu"(BL 23)for 16 weeks(20 minutes/day and one day off a week).After electroacupuncture,Morris water maze was used to detect the changes of learning and memory function.Immunohistochemistry was utilized to detect hippocampal dentate gyrus β-amyloid senile plaques.The expression of BrdU/NeuN and BrdU/GALC in the hippocampal dentate gyrus was detected by immunofluorescence double labeling.Western blot assay was used to detect the expression levels of neuron specific protein Nestin and oligodendrocyte specific protein GALC in the hippocampus.mRNA and protein levels of Notch1 and Hes1 in the hippocampus were detected by real-time fluorescence quantitative PCR and western blot assay. RESULTS AND CONCLUSION:(1)Compared with the normal control group,the ability of learning and memory in the Alzheimer's disease model group decreased significantly;hippocampal dentate gyrus β-amyloid senile plaques increased significantly(P<0.01);the expression of GALC and Nestin in the hippocampus decreased significantly(P<0.01,P<0.05).(2)Compared with the Alzheimer's disease model group,the learning and memory ability of the electroacupuncture group was significantly increased;β-amyloid senile plaque in the hippocampal dentate gyrus decreased significantly(P<0.01).BrdU/NeuN double labeled positive cells in the hippocampal dentate gyrus and Nestin protein expression in the hippocampus increased significantly(P<0.01,P<0.05);GALC expression in hippocampus increased significantly(P<0.01).The mRNA and protein levels of Notch1 in the hippocampus were significantly increased(P<0.05,P<0.01).The mRNA and protein levels of Hes1 in the hippocampus decreased significantly(P<0.05).(3)These findings indicate that electroacupuncture at"Baihui"(GV 20),"Fengfu"(GV 16)and bilateral"Shenshu"(BL 23)of the Alzheimer's disease model infant mice can promote the proliferation and differentiation of endogenous neural stem cells to neurons and oligodendrocytes,which may be regulated through the Notch1/Hes1 pathway.

ObjectiveTo investigate the relationship between mosquito density fluctuations and meteorological factors, so as to provide a scientific basis for mosquito surveillance analysis, risk assessment, and comprehensive prevention and control. MethodsMosquito surveillance and monitoring data of 2020‒2023 was obtained from on-site supervisory sampling by Songjiang Center for Disease Control and Prevention, and meteorological data was obtained from the Wheat A wheat malt-agro-meteorological big data system. Excel 2019 and SPSS 25.0 software were used to organize and analyze the mosquito number, species composition, and seasonal changes in mosquito density captured by the CO₂-light trap at rach monitoring site. Circular distribution method was used to calculate the peak time of mosquito density, combined with the meteorological data of the same period to explore the impact of meteorological factors on the results of mosquito surveillance. ResultsThere was a statistical difference in the overall distribution of mosquito quantity in different habitats(H=23.11, P<0.05), 2020‒2023. In addition, the results showed that July 28th was the peak day for mosquito density, and the duration from June 13th to September 11th was the seasonal peak period for mosquitoes. Pearson correlation analysis showed a positive correlation between mosquito density and average air temperature, average highest air temperature, average lowest air temperature, extreme maximum air temperature, extreme minimum air temperature, precipitation, and number of precipitation days (all P<0.01). While, there was no significant correlation between average wind speed and mosquito density (P>0.05). Multiple stepwise regression analysis resulted in the equation of Y=0.151X_{extreme minimum temperature}+0.321X_{number of precipitation days}+1.002X_{SQRT precipitation}-1.288 (F=102.635, P<0.05). ConclusionThe CO₂-light trap is advisable to monitor the habitats of farmers, livestock sheds, residential areas, parks, hospitals, and other external environments. Air temperature and precipitation have a significant impact on mosquito density. It is recommended to implement comprehensive prevention and control measures to reduce mosquito density and prevent mosquito-borne diseases before the peak period of mosquitoes.

Objective: To understand cumulative health risk behaviors among college students and the association with adverse childhood experiences, so as to provide a theoretical basis for the prevention and control of health risk behaviors in this population. Methods: From November to December 2022, four universities in Shanghai were selected using convenience sampling, and 3 039 students were selected for a questionnaire survey using random cluster sampling. The questionnaire covered general basic information, adverse childhood experiences and health risk behaviors. A latent class analysis was carried out to explore the latent classes of health risk behaviors among the college students and multivariate Logistic regression was performed to analyze the association between adverse childhood experiences and cumulative health risk behaviors. Results: The health risk behaviors of college students were classified into three latent classes:a low risk group (84.60%), a high risk group for smoking and alcohol consumption ( 10.37 %), and an excessive sugar intake group (5.03%). The proportion of three latent classes of health risk behaviors varied significantly by childhood neglect and abuse, family functioning and other adverse childhood experiences ( χ 2=210.67, 106.55, 104.41 , P <0.01). The results of the multiple Logistic regression analysis revealed that childhood neglect and abuse, poor family functioning, and other adversities increased the risk in the high risk group for smoking and alcohol consumption among college students ( OR =6.24, 3.80, 3.68), as well as an childhood neglect and abuse increased the risk of the excessive sugar intake group among college students ( OR =2.18) ( P <0.01). Conclusions Adverse childhood experiences are associated with clustered health risk behaviors. Proactive measures should be taken to prevent the transmission of negative childhood experiences, which would contribute to reduce the occurrence of health risk behaviors among college students.

Background Aedes albopictus is the dominant mosquito species in residential areas in Shanghai. There are many types of small containers with accumulated water in residential areas, providing a large number of breeding environments for Aedes alpopicuts and leading to an increasing transmission risk of mosquito-borne diseases. Objective To use random forest to predict breeding of Aedes mosquitoes in small aquatic container habitat in two concentrated reconstruction communities of rural areas in Shanghai, and to understand associated influence of environmental factors on the breeding of Aedes mosquitoes in the process of urbanization.Methods Small-scale habitat surveys of Aedes mosquitoes were carried out in two suburb concentrated reconstruction communities (Community A and B) in Shanghai, and the environment where the habitat was located was recorded and analyzed in both communities. The habitat where eggs, larvae, or pupae were found was recorded as positive. Spatial weight matrix was applied on a household basis, and global Moran's I index was used to carry out spatial autocorrelation analysis on the small-scale habitat and positive habitat in the environment of the two communities. When Moran's I is greater than 0, it means that the data present a positive spatial correlation; when Moran's I is less than 0, it means that the data are spatially negatively correlated; when Moran's I is 0, the spatial distribution is random. Combining the results of P and Z values, we explored the spatial distribution characteristics of small-scale habitat and positive habitat in the community environment. Random forest algorithm in machine learning was used to classify and sort environmental-related factors, and predict the breeding of Aedes mosquitoes in small aquatic habitat; receiver operating characteristic (ROC) curve was used to carry out model fitting evaluation. Results The environmental factors including building location (χ²=23.35, P<0.001), open space (χ²=8.83, P=0.003), and having trees (χ²=11.02, P=0.001) had a significant impact on the positive rate of small-scale habitat. The results of spatial characteristics analysis showed that the global Moran's I index of small-scale habitat was −0.092 (Z=−1.09, P=0.274) in Community A and 0.034 (Z=0.52, P=0.602) in Community B, and the global Moran's I index of positive habitat was −0.092 (Z=−1.14, P=0.255) in Community A and 0.070 (Z=0.95, P=0.342) in Community B. Since the P values of Community A and B were greater than 0.1 and the Z values were between −1.65 and 1.65, for both small-scale habitat and positive habitat the spatial characteristics were randomly distributed and no significant spatial aggregation was found. In the fitted random forest algorithm classification prediction model with the top 10 characteristic factors of importance, the area under curve (AUC) value was 0.95, and the prediction fitting effect was satisfactory. The results of classification and sorting indicated that counts of household small-scale habitat and positive habitat were the most important factors for breeding. Conclusion The random forest model constructed by environmental factor indicators can be used to predict the breeding situation of Aedes mosquitoes in small-scale aquatic habitat, and provide a basis for scientific prevention and control of mosquito breeding for the target area.