The Association Between The Level Of Skin Advanced Glycation End-products And Type 2 Diabetes

Objective: Based on the fluorescence spectrum analysis method,the exposure level of skin advanced glycation end-products(AGEs)in a large sample of community population was detected,and the correlation between the exposure level of skin AGEs and type 2 diabetes was explored.Methods: This study adopts the method of a cross-sectional survey design.The research subjects are all community residents who underwent medical tests at two social health centers in Licheng Community and Nanshan Community in Shen Zhen in 2019.The questionnaire was used to collect the data on demography and lifestyle of all participants.Physical examination were performed,and blood samples were collected.The skin AGEs measuring instrument(AGE Reader,Diagnoptics Technology BV)was used to measure the skin AGEs exposure level of the research subjects,and the automatic biochemical analyzer was used to measure common indicators of glucose metabolism and blood lipid metabolism.The basic characteristics of the population were analyzed by means of anova and chi-square test,and the association between skin AGEs exposure level and type 2 diabetes was evaluated by means of multi-factor logistic regression analysis.We generated a smoothing spline by using generalized additive model to present the trend of the association between skin AGEs exposure and type 2 diabetes.We further applied restricted cubic spline regression model to investigate the dose-response relationship between skin AGEs and type 2 diabetes.Results: Total of 1981 people were listed in this study,including 962 men and 1019 women.The median exposure level(interquartile range)of skin AGEs in the population was 1.8(1.6-2.1)AU.Multivariate linear regression analysis showed that after adjusting for multiple confounding factors such as gender,age,BMI,hypertension,hyperlipidemia,smoking and alcohol consumption,the skin AGEs exposure level was significantly positively correlated with the risk of type 2 diabetes(P <0.001).Restricted cubic spline regression analysis suggested that after adjusting for multiple confounding factors such as gender,age,BMI,hypertension,hyperlipidemia,smoking and alcohol consumption,there was a non-linear dose effect on the exposure level of skin AGEs and the risk of type 2 diabetes relationship.When the level of skin AGEs exceeded 1.8 AU,the high exposure level of skin AGEs was significantly positively correlated with the increased risk of type 2 diabetes.Conclusions: This study is based on the design of a large community-based cross-sectional study.After adjusting for confounding factors,we found a positive association between skin AGEs levels and the risk of type 2 diabetes,suggesting that AGEs may be involved in the occurrence and development of type 2 diabetes.