Cross-sectional Analysis of AGE-CML, sRAGE, and esRAGE with Diabetes and Cardiometabolic Risk Factors in a Community-Based Cohort.

Stephanie J Loomis, Yuan Chen, David B Sacks, Eric S Christenson, Robert H Christenson, Casey M Rebholz, Elizabeth Selvin

Clinical chemistry 2017 May

filter terms:

Advanced glycation end products (AGEs) and their receptors are regarded as central to the development of diabetic complications, but associations with diabetes and cardiometabolic outcomes in previous studies are mixed. Using ELISA assays, we measured N(6)-carboxymethyllysine (AGE-CML), soluble receptor for AGEs (sRAGE), and endogenous secreted receptor for AGEs (esRAGE) in 1874 participants from the Atherosclerosis Risk in Communities study. We conducted a cross-sectional analysis to evaluate associations of these biomarkers with demographics, diabetes, hyperglycemia, cardiometabolic measures, and genetic variants in the gene encoding RAGE, AGER (advanced glycosylation end-product specific receptor). After adjustment for demographics and body mass index (BMI), there were no significant differences in AGE-CML, sRAGE, or esRAGE by diabetes or hemoglobin A1c. Black race and AGER genetic variants were strongly associated with lower sRAGE and esRAGE even after adjustment [percent difference (95% CI) in black vs whites in sRAGE: -29.17 (-34.86 to -23.48), esRAGE: -26.97 (-33.11 to -20.84); with rs2070600 in sRAGE: -30.13 (-40.98 to -19.29), and esRAGE: -30.32 (-42.42 to -18.21); with rs2071288 in sRAGE: -20.03 (-34.87 to -5.18), and esRAGE: -37.70 (-55.75 to -19.65)]. Estimated glomerular filtration rate and albuminuria significantly correlated with sRAGE and esRAGE. BMI and C-reactive protein significantly negatively correlated with AGE-CML, sRAGE, and esRAGE. AGE-CML was modestly correlated with fructosamine and glycated albumin. AGE-CML, sRAGE, and esRAGE were more related to genetic, kidney, and inflammatory measures than to diabetes in this community-based population. Our results suggest that, when measured by ELISA, these biomarkers lack specificity and are of limited value in evaluating the role of these compounds in diabetes. © 2017 American Association for Clinical Chemistry.

Citation

Stephanie J Loomis, Yuan Chen, David B Sacks, Eric S Christenson, Robert H Christenson, Casey M Rebholz, Elizabeth Selvin. Cross-sectional Analysis of AGE-CML, sRAGE, and esRAGE with Diabetes and Cardiometabolic Risk Factors in a Community-Based Cohort. Clinical chemistry. 2017 May;63(5):980-989