Nomogram analysis of risk factors for diabetic neuropathy in primary type 2 diabetic mellitus patients in Zhejiang Province / 中华内科杂志

Objective:To investigate the risk factors of diabetic nephropathy (DN) in primary type 2 diabetes mellitus (T2DM) patients and to quantitatively analyze the risk of DN by nomogram modeling.Methods:A total of 1 588 primary T2DM patients from 17 townships and streets in Zhejiang Province were enrolled from June 2018 to August 2018 in this cross-sectional study, with an average age of (56.8±10.1) years (50.06% male) and a mean disease duration of 9 years. The clinical data, biochemical test results, and fundus photographs of all T2DM patients were collected, and logistic regression analysis was used to screen the risk factors of DN. Then, a nomogram model was used to quantitatively analyze the risk of DN.Results:DN occurred in 27.71% (440/1 588 cases) primary type 2 diabetes patients. Hemoglobin A 1c (HbA 1c) ( OR=1.159, 95% CI 1.039-1.292), systolic blood pressure ( OR=1.041, 95% CI 1.031-1.051), serum creatinine (Scr) ( OR=1.011, 95% CI 1.004-1.017), serum globulin (GLOB) ( OR=1.072, 95% CI 1.039-1.105), diabetic retinopathy (DR) ( OR=1.463, 95% CI 1.073-1.996), education level of more than junior high school ( OR=2.018, 95% CI 1.466-2.777), and moderate-intensity exercise ( OR=0.751, 95% CI 0.586-0.961) were influencing factors of DN. Nomogram model analysis showed that the total score of each factor of DN ranged from 64-138 points, and the corresponding risk rate ranged from 0.1-0.9. The nomogram model also predicted a C-index value of 0.753 (95% CI 0.726-0.781) and an area under the receiver operating characteristic curve of DN of 0.753. Internal verification of the C-index reached 0.738. The model displayed medium predictive power and could be applied in clinical practice. Conclusions:HbA 1c, systolic blood pressure, Scr, GLOB, DR, and more than a junior high school education are independent risk factors of DN. Nomogram modeling can more intuitively evaluate the risk of DN in primary T2DM patients.

Application of single cell RNA sequencing in the treatment of diabetes / 中华内分泌代谢杂志

Single-cell RNA sequencing (scRNA-seq) is used for transcriptome profiling at the individual cell level, which is capable of screening in differentially gene expression that results from genetic mutation. Islet-based developmental atlas and heterogeneity characterization are currently the main applications of scRNA-seq in diabetes. scRNA-seq also can be used to mark and purify the functional β cells from resident adult stem cells in the pancreatic islets, which is expected to improve the outcome of islet β cells transplantation in type 1 diabetic patients. In addition, the technique can aid in learning diabetic β cell dedifferentiation and immunomodulatory functions. Although the study of scRNA-seq in diabetic retinopathy, nephropathy, atherosclerosis, and peripheral neuropathy is still at a nascent stage, scRNA-seq has great potential in a wide range of biomedical and clinical applications.

Eating speed and obesity: A correlation analysis of cross-sectional data / 中华内分泌代谢杂志

Objective:To analysis the correlation of eating speed with obesity.Methods:A total of 644 people aged 40-65 from Caihe Community in Hangzhou were enrolled to collect clinical and demographic data, undergo extensive physical examination and laboratory tests. Participants were divided into two groups according to their eating speed (non-fast and fast). Obesity-related parameters were compared between two groups. Multivariable logistic regression was conducted to explore the relationship between eating speed and obesity after adjusting confounders.Results:Body mass index, waist circumference, and visceral fat area were greater in the fast eating group than non-fast eating group(all P<0.01). After adjusting for age, gender, smoking, alcohol drinking, physical activity level per week, and principal food intake, logistic regression analysis showed that eating fast was correlated with abdominal obesity( OR=1.66, 95% CI 1.11-2.48, P=0.014) and visceral obesity( OR=1.65, 95% CI 1.14-2.39, P=0.007). After stratified by gender, in the group of men, eating fast was correlated with abdominal obesity( OR=2.04, 95% CI 1.07-4.04, P=0.032) and visceral obesity( OR=1.85, 95% CI 1.04-3.31, P=0.037); In the group of women, eating fast was correlated with overweight and obesity( OR=1.59, 95% CI 1.04-2.42, P=0.031). Conclusion:Eating fast is positively associated with obesity. Interventions for reducing eating speed may be effective for weight control.

A novel mutation W257R in gene discovered from a Chinese patient with maturity onset diabetes of the young / 浙江大学学报·医学版

Maturity onset diabetes of the young (MODY) is a monogenic autosomal dominant inherited disease. Its clinical manifestations are asymptomatic with slightly elevated fasting blood glucose and few complications. This paper reports a novel mutation W257R in glucokinase () gene from a Chinese patient with MODY. Heterozygous mutation c.769T>C (p.W257R) in exon 7 of gene (Chr744187343) was found in the proband, her father and brother. This W257R mutation was first reported in Chinese population.