Objective To study the assiociation of-866G/A polymorphism in the promoter of uncoupling protein 2(UCP2)gene in patients with type 2 diabetes and B-cell function in Han population in Nanjing.Methods For the case-control study,PCR-RFLP method was used to determine the distributions of allele and genotype frequencies of-866G/A polymorphism in the human UCP2 gene in 229 type 2 diabetic patients and 196 normal control subjects.All of the testees accepted oral glucose tolerance test and insulin releasing test to detect B-cell secretion function and insulin sensitivity.Results The distribution of genotype and allele frequencies of-866G/A polymorphism in the promoter of the human UCP2 gene were significantly different between type 2 diabetic patients and normal control subjects(?2=6.555,P=0.038;?2=6.363,P=0.012 respectively).The frequency of A/A genotype and A allele in type 2 diabetic were significantly higher than that in contrast(OR=1.99,OR=1.42 respectively,both P

Objective To investigate the prevalence of depression and its risk factors in type 2 diabetes mellitus.Methods Beck Depression Inventory (BDI) was used to evaluate depression in 2 966 type 2 diabetes mellitus patients [ male 1 463,female 1 503,age ( 56.4 ± 11.2 ) years,diabetes duration ( 6.3 ± 5.7 ) years ].Depression criteria:≤4 points,no depression group; 5-13 points,mild depression group; 14-20 points,moderate depression group; 21 points or higher,severe depression group.Meanwhile,the demographic and metabolic data and diabetes-related health behaviors were also investigated.The risk factors associated with depression were screened by logistic regression.Results 51％ patients had depression,including 38％ with mild,8％ with moderate,and 5％ with severe depression.Compared with no depression group,depression was correlated with female sex,low-annual income,diabetes education,diabetes treatment,with insulin and peripheral neuropathy( P＜0.01 ).More smoking and younger age were found in severe depression( P＜0.05 ).Partial correlation analysis showed that depression in type 2 diabetes mellitus was positively correlated with female sex,diabetes education,and peripheral neuropathy ; and negatively correlated with age (P＜0.05).Conditional logistic regression equation showed that gender( OR =1.37 ),age ( 20-40 years,OR =1.52 ),diabetes education ( OR =1.51 ),and peripheral neuropathy ( OR =1.87 ) were risk factors for depression.Conclusion Depression is common in type 2 diabetes mellitus.More attention should be paid to screening depression in clinical practice.

With the recent ongoing autumn/winter 2022 COVID-19 wave and the adjustment of public health control measures, there have been widespread SARS-CoV-2 infections in Chinese mainland. Here we have analyzed 369 viral genomes from recently diagnosed COVID-19 patients in Shanghai, identifying a large number of sublineages of the SARS-CoV-2 Omicron family. Phylogenetic analysis, coupled with contact history tracing, revealed simultaneous community transmission of two Omicron sublineages dominating the infections in some areas of China (BA.5.2 mainly in Guangzhou and Shanghai, and BF.7 mainly in Beijing) and two highly infectious sublineages recently imported from abroad (XBB and BQ.1). Publicly available data from August 31 to November 29, 2022 indicated an overall severe/critical case rate of 0.035% nationwide, while analysis of 5706 symptomatic patients treated at the Shanghai Public Health Center between September 1 and December 26, 2022 showed that 20 cases (0.35%) without comorbidities progressed into severe/critical conditions and 153 cases (2.68%) with COVID-19-exacerbated comorbidities progressed into severe/critical conditions. These observations shall alert healthcare providers to place more resources for the treatment of severe/critical cases. Furthermore, mathematical modeling predicts this autumn/winter wave might pass through major cities in China by the end of the year, whereas some middle and western provinces and rural areas would be hit by the upcoming infection wave in mid-to-late January 2023, and the duration and magnitude of upcoming outbreak could be dramatically enhanced by the extensive travels during the Spring Festival (January 21, 2023). Altogether, these preliminary data highlight the needs to allocate resources to early diagnosis and effective treatment of severe cases and the protection of vulnerable population, especially in the rural areas, to ensure the country's smooth exit from the ongoing pandemic and accelerate socio-economic recovery.