Obesity is an important manifestation of the imbalance of energy regulation, and its complications can cause irreparable damage to the body. Finding the pathogenesis of obesity at the molecular level can help fundamentally avoid these irreversible complications. Extended synaptotagmins (E-Syts) are proteins related to the formation of endoplasmic reticulum (ER) and plasma membrane (PM). Because of the short discovery time, there is huge room for exploration. In terms of the role of the established structure of E- Syts at the molecular level, it has a non-negligible link with the pathogenesis of obesity. Starting with the structure of hypothalamus, this paper reviews the literature evidence of this connection, hoping to find a new research angle for reducing the incidence of obesity.

Objective To develop a multivariate modeling and prediction approach using the data of influenza incidence, meteorological factors and PM_2.5 variables in Hefei City, and to provide new insights into multivariate modeling and prediction methods. Methods PM_2.5 data were transformed into fractal dimension data and, along with meteorological data, were incorporated into a ConvLSTM model. The performance of this model was compared with traditional ARIMAX and multivariate LSTM models. Results The ARIMAX model's testing set Mean Absolute Error (MAE) was 95.75, Root Mean Square Error (RMSE) was 176.72, and Index of Agreement (IA) was 0.396642. The multivariate LSTM model's testing set MAE was 22.18, RMSE was 43.06, and IA was 0.974611. For the fractal dimension-based ConvLSTM model, the testing set MAE was 17.37, RMSE was 32.25, and IA was 0.988149. Conclusion The fractal dimension effectively captures the complexity and self-similarity of PM_2.5 concentration, providing the model with richer feature information. The fractal dimension-based ConvLSTM model significantly outperforms the traditional ARIMAX model and the multivariate LSTM model in prediction accuracy and can be used for predicting the number of influenza cases.

Objective To investigate the influencing factors associated with the comorbidity of inflammatory bowel disease (IBD) and depression. Methods A case-control study was conducted based on the ^“Healthcare Big Data Platform^” of a tertiary class-A comprehensive hospital in Shandong Province. IBD comorbid with depression was served as the case group and IBD without depression was served as the control group. Propensity score matching (PSM) was performed by matching the case group with the control group in a ratio of 1:2 according to the age and gender of the patients. Conditional logistic regression model was used to explore the influencing factors associated with the comorbidity of IBD and depression. Results A total of 405 patients with IBD were enrolled in this study, including 270 patients without depression and 135 patients comorbid with depression. The results of conditional logistic regression showed that the use of immunosuppressants (OR=2.84, 95% CI: 1.00-8.07) and glucocorticoids (OR=2.05, 95% CI: 1.17-3.58), dementia (OR=5.20, 95% CI:1.59-17.05), cardiovascular disease (OR=3.58, 95% CI: 1.84-6.98) and cancer (OR=2.63, 95% CI: 1.16-5.95) were associated with the comorbidity of depression and IBD. Conclusion Attention should be paid to the use of immunosuppressants and glucocorticoids in the population of IBD comorbid with depression, and the coexistence of physical diseases such as dementia, cardiovascular disease and cancer. Early prevention and targeted treatment measures should be taken for high-risk populations to reduce their risk of depression and improve their quality of life and health.

Objective To explore the effect of fine particulate matter (PM_2.5) in Taiyuan City on short-term pulmonary function in elderly patients with chronic obstructive pulmonary disease (COPD). Methods Among the 1 015 elderly COPD patients admitted to the respiratory departments of five general hospitals in Taiyuan City from December 2021 to December 2023 were retrospectively selected for research; medical records, air pollutant data and meteorological data were analyzed; the relationship between PM_2.5 and lung function indicators and air pollutants was analyzed; the impact of PM_2.5 on lung function and its lag effect were analyzed; the cumulative effect of PM_2.5 concentration on the risk of pulmonary ventilation dysfunction was analyzed; The influence of gender and age on the relationship between PM_2.5 and patients ' short-term pulmonary function was analyzed. Results PM_2.5, respirable particulate matter (PM₁₀), sulfur dioxide (SO₂), carbon monoxide (CO) were negatively correlated with average temperature and average humidity (P<0.05) ; Nitrogen dioxide (NO₂), ozone (O₃) were negatively correlated with average temperature (P<0.05) ; There was a positive correlation among PM_2.5, PM₁₀, SO₂, CO, NO₂, and O₃ (P<0.05) ; Elevated PM_2.5 is an independent risk factor for decreased lung function and increased air pollutants (P<0.05) ; At lag0 and lag1, PM_2.5 concentration was negatively correlated with lung function in a dose-response manner (P<0.05); daily average PM_2.5 concentration at lag0 was a dangerous effect (P<0.05). Conclusion The impact of PM_2.5 concentration on lung function has a certain time lag. An increase in PM_2.5 concentrations can lead to a decline in lung function.

Objective To investigate the discovery and disposal process and epidemiological characteristics of the first confirmed case of mpox (formerly named monkeypox) in Huai'an, Jiangsu Province, and to provide reference for the prevention and control of key infectious diseases in this region. Methods The on-site epidemiological investigation data of the first confirmed case of mpox on June 21, 2023, as well as the results of nucleic acid detection and gene sequencing of laboratory specimens were analyzed retrospectively. Possible sources of infection were explored. Results The first confirmed case of mpox was an AIDS patient, men who had sex with men (MSM), who had no history of travel abroad or outside the city within 21 days before the onset of the disease, but had interacted with some people outside the city, and the epidemiological trajectory was complex. The detection of mpox virus nucleic acid was positive (BioGerm reagent: Ct value 21.8, ZhuoCheng reagent: Ct value 21.2). According to genetic sequencing, the first confirmed case was classified as C.1.1 lineage of clade IIb. During the investigation on the source of infection of the first confirmed case, one new asymptomatic infected person was found. Based on the epidemiological investigation and laboratory results, the first confirmed case was believed to be caused by local infection, however, the source of infection was unclear. Although there was an epidemiological association with asymptomatic infected people, the direct evidence of mutual infection was insufficient, and it could not be ruled out that there was still a hidden transmission chain between regions. The source of infection of the asymptomatic infected person was presumed to be the first confirmed case or an unidentified person with whom he had high-risk sex and caused anal bleeding. Conclusion The first confirmed case is caused by local infection. Awareness of case diagnosis and reporting in medical institutions should be improved, and publicity and education should be provided to key exposed populations, especially those men who have sex with men, to prevent the occurrence of large-scale local epidemic.

Objective To analyze the disease burden of chronic kidney diseases (CKD) attributed to high body mass index (BMI) in China from 1992 to 2021 and predict the disease burden for the next decade, and to provide evidence for the prevention and treatment of CKD. Methods Using the Global Burden of Disease (GBD) database and the Joinpoint model, the average annual percentage rate change (AAPC) of the mortality rate and disability-adjusted life year (DALY) rate was calculated to describe and analyze the CKD disease burden attributed to high BMI in China from 1992 to 2021. The ARIMA model was employed to predict and analyze the change trend of the CKD disease burden. Results From 1992 to 2021, the mortality rate and DALY rate attributed to high BMI-induced chronic kidney disease showed an upward trend. Compared to 1992, the attributed number of deaths increased by 324.38%, and DALYs increased by 268.56%; the mortality rate increased by 64.00%, and the DALY rate grew by 51.62%. From 1992 to 2021, the mortality rate and DALY rate for males were lower than those for females, but the growth rate for males exceeded that of females. From 1992 to 2021, the mortality rate and DALY rate of chronic kidney disease attributed to high BMI in China increased with age. The average annual change rate of chronic kidney disease attributed to high BMI in China from 1992 to 2021 (mortality rate: 1.40 per 100,000 (95% CI: 1.04–1.76), DALY rate: 1.43 per 100 000 (95% CI: 1.17–1.70)) was higher than thHuaiyin Normal University, Huai'anher social demographic index (SDI) regions. The ARIMA model predicted that the age-standardized mortality rate increased from 2.91 per 100 000 in 2022 to 3.05 per 100 000 in 2026, and the age-standardized DALY rate increased from 69.65 per 100 000 in 2022 to 73.58 per 100 000 in 2026. Conclusion Chronic kidney disease attributed to high BMI in China is on the rise, and it will continue to grow in the future. The focus of CKD prevention and control should be on males and the elderly, while active measures should be taken to reduce the occurrence and progression of chronic kidney disease.

Objective To explore the effects of air pressure, humidity, wind, and sunshine on the incidence of cardiovascular and cerebrovascular diseases (CVD) in Guiyang, and to provide reference for the prevention of CVD. Methods Using CVD incidence data from September 2021 to August 2022 in Guiyang City and meteorological data including average air pressure, average humidity, wind, and sunshine during the same period, the effects of meteorological factors on CVD incidence were explored and the importance of each factor was analyzed. Results When air pressure was below 868 hPa, above 887 hPa, or between 877 and 883 hPa, and when air pressure dropped less than 5.3 hPa within 24 hours, there was a higher risk of CVD. When the humidity was above 81%, the wind speed was small (<1.2 m/s) or high (>4m/s), and there was less sunlight (less than 3 hours), the risk of CVD was higher. Low humidity (<60%) was not conducive to the onset of CVD. There were highest risks at lag 5~10 days and 4-25 days for high pressure and low sunlight, respectively. When the relative humidity was saturated, there was an immediate effect. When the wind speed was low and high, the immediate effect and hysteresis effects were significant. Among the above meteorological factors, the impact of 24-hour variation of pressure and high or low atmospheric pressure on the incidence of CVD was the most significant, while the impact of sunlight and humidity was the weakest. The impact of diurnal variations in wind and atmospheric pressure was not clear. Conclusion The impact of air pressure on the incidence of CVD does not exhibit a simple linear relationship. The risk of CVD is high in high humidity, low light, and moderate or strong winds. It is necessary to fully consider changes in meteorological factors for CVD prevention and control.

Objective To evaluate the disease risk of Vibrio parahaemolyticus (VP) in aquatic products of raw food in Guangzhou. Methods VP detection was carried out in aquatic products of raw food sold in Guangzhou from 2009 to 2022. Gene sequence and wgSNP analysis of 30 VP strains (including 15 food strains and 15 patient strains) were performed for the detection rate of pathogenic VP. sQMRA was applied to assess VP risk of aquatic products of raw food. Results The detection rate of VP in raw aquatic products in Guangzhou was 7.30% (98/1 343). The detection rate of TDH virulence gene in patient strains was 86.70% (13/15) , and the detection rate of TRH was 6.67% (1/15). In 15 food strains, TDH and TRH were negative. The WgSNP analysis showed that 2 food strains had high similarity with the patient strains, indicating the same cluster. Risk assessment showed that the number of Vibrio parahaemolyticus infection cases caused by intaking aquatic products of raw food in Guangzhou was 384 ever year. Conclusion The detection rate of VP in aquatic products of raw food is high in Guangzhou , and the detection rate of VP virulence genes in aquatic products of raw food is low. Gene sequence and wgSNP analysis can be used for risk assessment of food pathogenic bacteria. The risk of disease of Vibrio parahaemolyticus in aquatic products of raw food is high.

Objective To analyze the epidemiological characteristics of norovirus outbreaks in Haidian District, Beijing, and to provide a reference for epidemic prevention and control. Methods Descriptive epidemiological methods were used to organize and statistically analyze the norovirus outbreak data reported from 2016 to 2022. Results A total of 26 outbreaks of norovirus were reported in Haidian District, with a total of 1595 cases and an attack rate M (Q_R) of 8.23 (16.33)%. There were 24 cases of norovirus type GII (92.31%), 1 case of type GI (3.85%), and 1 case of mixed infection of virus type GI/GII (3.85%). The highest number of reported outbreaks occurred in March and April, with 17 cases, accounting for 65.38%. The highest number of reported cases was in November and December, with 785 cases, accounting for 44.92%. The case age M (Q_R) was 18 (14) years old. The detection rate of positive samples in different age groups had statistical significance（χ²=12.021, P=0.007). The 26 outbreaks were mainly distributed in collective units such as schools, preschool institutions, and enterprises and institutions. There were a total of 11 outbreaks related to foodborne transmission, with 923 cases, accounting for 57.87%. Diarrhea was positively correlated with the age of the cases (r_s=0.572, P<0.001), while vomiting was negatively correlated with the age of the cases (r_s=-0187, P<0.001). The time interval between the onset of acute gastroenteritis symptoms in the first case and the reporting of the epidemic was positively correlated with the duration of the epidemic (r_s=0.586, P=0.002). Conclusion It is necessary to strengthen the prevention and control of norovirus in schools (primary and secondary schools and colleges), strictly implement health monitoring and regular screening for kitchen workers, carry out publicity and education, detect cases as early as possible, report the epidemic in a timely manner, and effectively reduce the scale of the epidemic and prevent its spread.

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.