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.

Objective:To explore the experience and demand of diabetic patients for exercise management platform and provide reference for building scientific exercise management platform module content for diabetic patients.Methods:Using the phenomenological research method, with data saturation as the sample size selection criteria, a total of 11 diabetic patients from Department of Endocrinology of two Class Ⅲ Grade A hospitals in Beijing from June to August 2021 were selected for semi-structured in-depth interviews. Colaizzi 7-step analysis method was used to analyze data and extract themes.Results:Diabetic patients had a high degree of acceptance to use the exercise management platform. The demand could be summarized into five themes, which are professional service demand, effect analysis demand, personalized monitoring demand, simplicity of operation demand and interest stimulating demand.Conclusions:The development of diabetes exercise management platform should be diversified and personalized. Multi-disciplinary professional cooperation teams should be used to provide scientific and high-quality services and guidance for diabetes patients on the platform, so as to help diabetes patients form regular and effective exercise habits.

Early warning of infectious disease outbreak is key to controlling epidemics. Public general hospitals can effectively play their " outpost" role in the early warning and response of infectious diseases, which is directly related to the success of epidemic prevention and control. The authors summarized the current construction and main functions of infectious disease early warning systems at national level, regional level and public general hospitals, analyzed the problems existing in such construction, and put forward targeted suggestions. As found by the authors, some public general hospitals in China have initially built an early warning system for infectious diseases, achieving early recognition, early warning and reporting of infectious diseases to some extent. However, these systems were challenged by such shortcomings as insufficient intelligence, lack of data information exchange, immature practice and application, and lack of attention to the monitoring and early warning of endemic infectious diseases. It is suggested to improve the policy and system support in the future, to expand the types of infectious diseases for monitoring and early warning, to enlarge the sources of monitoring data and to strength hospital informationization construction.

Objective:To explore the relationship between rumination and depression and suicide attempts, and the mediating effect of rumination between depression and suicide attempts in adolescents with depressive disorder.Methods:Clinical interviews and questionnaires were conducted on 331 adolescents aged 11-18 with depressive disorders.Depressive symptoms were assessed with patient health questionnaire-9 (PHQ-9). Rumination was assessed with ruminative responses scale-10 (RRS-10), and Chinese version of the sociality module of MINI5.0 was used to assess suicide.SPSS 23.0 software was applied to descriptive statistics, Chi-square test, t-test, Spearman correlation analysis and hierarchical regression analysis, and the SPSS macro program PROCESS V 3.4 was used for Bootstrap mediating effect. Results:The incidence of suicide attempts in adolescents with depressive disorder was 53.78%, which was significantly higher in girls (59.48%) than that in boys (40.40%), and the difference was significant ( χ2=10.16, P<0.01). In contrast to the non-suicide attempt group, suicide attempt group had higher scores on PHQ-9((11.08±9.26) vs (14.43±7.49), t=-3.634, P<0.01), brooding ((10.76±3.89) vs (12.44±3.87), t=-3.926, P<0.01), reflection ((10.05±3.54) vs (11.20±3.33), t=-3.044, P<0.01) and rumination total score ((20.81±6.78) vs (23.64±6.42), t=-3.898, P<0.01). Regression analysis revealed that girl ( β=0.175, t=3.228, P=0.001), depressive symptoms ( β=0.168, t=3.082, P=0.002), rumination ( β=0.138, t=2.364, P=0.019) were risk factors for suicide attempts.Rumination played a complete mediating effect between depressive symptoms and suicide attempts (effect value=0.013, 95% CI=0.003-0.027). Depression symptoms significantly and positively predicted rumination ( P<0.01), and rumination significantly and positively predicted suicide attempts ( P<0.05). Conclusion:The incidence of suicide attempts was high in adolescents with depressive disorders.Depressive symptoms affect suicide attempts mainly through rumination.Clinicians should assess the rumination of adolescents with depressive disorders.In addition, clinicians should implement concurrent psychotherapy to adjust the cognitive response and reduce rumination, in order to improve the mental health and reduce suicide attempts.

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress

Objective To observe the effect of continuous incision infusion different concentra-tion of ropivacaine for postoperative analgesia after radical mastectomy.Methods One hundred pa-tients under radical mastectomy,aged 40-70 years,ASA Ⅰ or Ⅱ,were randomly divided into four groups (n =25 each):0.2% (group R1),0.3% (group R2),0.4% (group R3)ropivacaine incision continued infiltration group and patient-controlled intravenous analgesia (group PCIA)as control group.VAS pain scores,sedation Ramsay score and side effects were recorded at each time point in rest and turning over 90°,2 h (T1 ),4 h (T2 ),8 h (T3 ),12 h (T4 ),24 h (T5 ),48 h (T6 )after the operation.Results VAS scores in group R1 at T1-T6 in rest and turn over 90°were significantly high-er than that of group PCIA (P <0.05).There were no significant differences among the group PCIA, group R2 and group R3.Sedation score in PCIA group was significantly higher than that in the other three groups (P <0.05),and the adverse reactions,such as nausea and vomiting,in group PCIA (2 cases)were more serious than that in the other groups (0 cases ).There were no significant differences among the other groups.Conclusion Ropivacaine plays an effective role in infiltration an-algesia when its concentration reaches 0.3% subcutaneous after radical mastectomy.

Gastric cancer is one of the most common malignancies worldwide; however, the molecular mechanism in tumorigenesis still needs exploration. BCL2L11 belongs to the BCL-2 family, and acts as a central regulator of the intrinsic apoptotic cascade and mediates cell apoptosis. Although miRNAs have been reported to be involved in each stage of cancer development, the role of miR-24 in GC has not been reported yet. In the present study, miR-24 was found to be up-regulated while the expression of BCL2L11 was inhibited in tumor tissues of GC. Studies from both in vitro and in vivo shown that miR-24 regulates BCL2L11 expression by directly binding with 3'UTR of mRNA, thus promoting cell growth, migration while inhibiting cell apoptosis. Therefore, miR-24 is a novel onco-miRNA that can be potential drug targets for future clinical use.
Animals ; Apoptosis ; genetics ; Apoptosis Regulatory Proteins ; deficiency ; genetics ; Base Sequence ; Bcl-2-Like Protein 11 ; Cell Line, Tumor ; Cell Movement ; genetics ; Cell Proliferation ; genetics ; Down-Regulation ; genetics ; Gene Silencing ; Male ; Membrane Proteins ; deficiency ; genetics ; Mice ; MicroRNAs ; genetics ; Proto-Oncogene Proteins ; deficiency ; genetics ; Rats ; Stomach Neoplasms ; genetics ; pathology

Objective To observe the different behavior of proliferation and cell cycle of MCF-7 cells when exposured to ropivacaine of different concentrations and further explore its underlying mechanism.Methods Human breast cancer cells MCF-7 were inoculated into culture medium for 24 h,then were randomly divided into four groups:Control group(group C),Ropivacaine 100 μg/ml group(group R1 ),Ropivacaine 200 μg/ml group(group R2),Ropivacaine 400 μg/ml group(group R3).We medicated each group and incubated for 48 h,then detected the cell proliferation and cell cy-cle immediately.The level of protein TCF-4 and beta-catein of groups R3 and C were measured at the same time.Results MCF-7 cell viability of groups R2 and R3 was significantly lowed (P <0.05 ), MCF-7 cell viability of group R1 had no significant difference when compared to group C.G0/G1 phase cells of groups R1,R2 and R3 were significantly less than those of group C,S phase cells of groups R1,R2 and R3 were significantly more than group C,G2/M phase cells of groups R1,R2 and R3 were significantly more than group C (P <0.05).The expression level of TCF-4 and beta-catenin in group R3 was significantly lower than that in group C (P <0.05).Conclusion Ropivacaine inhibits the proliferation of breast cancer cells MCF-7 by down-regulating TCF-4 and beta-cateni.

Acute Disease ; Fatty Liver ; Female ; Humans ; Liver, Artificial ; Pregnancy ; Pregnancy Complications ; Retrospective Studies

Objective:To investigate the influence of chemotherapy on the phenotype of secreted protein, acidic and rich in cysteine (SPARC) in gastric cancer (GC). Methods:Immunohistochemistry was used to analyze SPARC expression in 132 GC patients. Among these patients, 54 with preoperative chemotherapy and 78 without preoperative chemotherapy were selected to analyze the effect of chemotherapy on SPARC phenotype by comparing the postoperative specimens of the two cohorts. Results:SPARC expression was higher in GC lesions than in the desmoplastic stroma surrounding the tumor cells and noncancerous tissues. High SPARC expression was related to invasion depth, lymph node metastasis, and TNM staging. SPARC expression was lower in patients with preoperative chemotherapy than in controls ( P<0.05). Gross type, histology, depth of invasion, lymph node metastasis, TNM staging, and SPARC phenotype correlated with the overall survival of the patients with preoperative chemotherapy. Further multivariate analysis suggested that lymph node metastasis, histology, and SPARC phenotype after chemotherapy were independent prognostic indicators of GC. Conclusion:SPARC expression was associated with invasion depth, lymph node metastasis, TNM staging and GC prognosis. Preoperative chemotherapy may change the phenotype of SPARC in GC patients.