A novel advanced glycation index and its association with diabetes and microangiopathy

Abstract

Formation of advanced glycation end products (AGEs) is an important mechanism by which chronic exposure to high glucose levels leads to vascular complications. Measurement of AGEs is hence of great importance for clinicians and researchers concerned with the management and prevention of diabetic vascular disease. The aim of this study was to evaluate a simple methodology to detect AGEs in the serum and to correlate their levels with diabetes and microangiopathy, specifically retinopathy and nephropathy. We studied 157 subjects, which included nondiabetic control subjects (n = 38), type 2 diabetic patients without microangiopathy (n = 65), and type 2 diabetic subjects with retinopathy (n = 29) or both retinopathy and nephropathy (n = 25). All subjects were assessed for their glycemic and lipid status. Serum AGEs were monitored by recording the Maillard-specific fluorescence that resulted from sequential addition of serum into the buffer. The resultant linear regression was modeled to yield the slope values that were termed advanced glycation index (AGI) in arbitrary units. The serum levels of AGI (mean ± SD) were higher in diabetic subjects without complications (6.0 ± 1.6 units) compared with nondiabetic subjects (4.6 ± 1.0 units), still higher among diabetic subjects with retinopathy (7.6 ± 1.2 units) and highest in diabetic subjects with both retinopathy and nephropathy (8.3 ± 2.0 units). Among diabetic subjects, AGI had a significant positive correlation with duration of diabetes (r = 0.25, P = .006), glycated hemoglobin (r = 0.27, P = .004), cholesterol (r = 0.24, P = .009), triglycerides (r = 0.23, P = .014), and serum creatinine (r = 0.30, P = .001), and a significant negative correlation with creatinine clearance (r = -0.27, P = .003). Logistic regression analysis using diabetic microangiopathy as the dependent variable showed an association with AGI even after including age, duration of diabetes, and glycated hemoglobin (P < .001) into the model. Advanced glycation index is a simple method to detect AGEs, and it correlates well with diabetes, particularly with microangiopathy.