473-P: Correlation between Serum Elabela and Type 2 Diabetic Retinopathy

Abstract

Aim: To analyze the relationship between serum Elabela (ELA) levels and type 2 diabetic retinopathy (DR) . Methods: A total of 81 patients with type 2 diabetes were collected. According to the stages of diabetic retinopathy, the patients were divided into three groups: group 1: no diabetic retinopathy stage, group 2: non-proliferative diabetic retinopathy (NPDR) and group 3: proliferative diabetic retinopathy (PDR) , with 27 patients in each group. Serum ELA levels were detected by ELISA. Relevant clinical datas were recorded and analyzed. Results: There were no statistical significance in age, BMI, FPG, HbA1c, t-chol, TG, LDL-C, HDL-C among 3 groups (all P> 0.05) . The duration of diabetes in group 1 was significantly shorter than that in groups 2 and 3 (all P<0.05) , and there were significant differences in SBP, DBP, eGFR and Cre in groups 3 compared with those in groups 1 and 2 (P<0.05) . From group 1 to group 3, the levels of ELA decreased gradually, with statistical significance among the three groups (P<0.05) . Correlation analysis showed that serum ELA levels were negatively correlated with the course of diabetes, DR, SBP, Cre (P<0.05) , and positively correlated with eGFR (P<0.05) . Stepwise multiple linear regression analysis showed that the most relevant variables for ELA were age, BMI and DR (P=0.005; P = 0.000; P = 0.001) . According to ROC curve analysis, the sensitivity and specificity of ELA in the diagnosis of diabetic retinopathy were 59.3%, 83.3%, and the area under the curve was 0.753 (95%CI: 0.638, 0.869, P=0.000) . Conclusions: With the progressive of diabetic retinopathy, the level of serum ELA decreases gradually. ELA may be a potential clinical predictor and therapeutic target of diabetic retinopathy. Disclosure W.Gu: None. M.Shi: None. Y.Chen: None. Y.Liu: None. J.Song: None. H.Zhang: None. Funding National Natural Science Foundation of China Grant Award (81200595/81400807/81700723) , Six High-peak Talents Project of Jiangsu Province (WSN-101) , Research Project of Jiangsu 333 engineering (BRA2016232) and Research Project of Jiangsu Provincial Commission of Health and Family Planning (F201549/H201667) , and International Science and Technology Cooperation Project of Huaian (HAC201707) .