Early Progression of Diabetic Nephropathy Correlates With Methylglyoxal-Derived Advanced Glycation End Products

Author:

Beisswenger Paul J.1,Howell Scott K.1,Russell Gregory B.2,Miller Michael E.2,Rich Stephen S.3,Mauer Michael4

Affiliation:

1. Department of Medicine/Endocrinology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire

2. Department of Biostatistical Sciences, Wake Forest University, Winston-Salem, North Carolina

3. Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia

4. Departments of Pediatrics and Medicine, University of Minnesota, Minneapolis, Minnesota.

Abstract

OBJECTIVE Increased advanced glycation end products (AGEs) and oxidation products (OPs) are proposed to lead to progression of diabetic nephropathy (DN). We investigated the relationship between AGEs, OPs, and progression of DN in 103 subjects with type 1 diabetes participating in the Natural History of Diabetic Nephropathy Study. RESEARCH DESIGN AND METHODS Mean age of subjects was 17.6 ± 7.4 years, and mean duration of diabetes was 8.3 ± 4.9 years. All patients were normoalbuminuric. Change in glomerular basement membrane (GBM) width from baseline to 5 years, measured using electron micrographs of renal biopsies, was our primary end point, and mesangial fractional volume was a secondary end point. Fast progressors (FPs) were defined as those in the upper quartile of GBM change, and the remaining patients were classified as slow progressors (SPs). AGEs (3-deoxyglucosone and methylglyoxal hydroimidazolones [MGHI]), carboxymethyl lysine (CML), carboxyethyl lysine (CEL), and OPs (methionine sulfoxide and 2-aminoadipic acid) were measured at year 5 by liquid chromatography/triple-quadruple mass spectroscopy on 10-K plasma filtrates. RESULTS We found that MGHI, CEL, and CML levels were significantly higher in FPs relative to SPs. No product predicted mesangial expansion. A model containing only HbA1c accounted for 4.7% of GBM width variation, with the total variability explained by the model increasing to 11.6% when MGHI, CEL, and CML were added to the regression model (7.9% increase). MGHI was a significant independent predictor of FP. Using a logistic regression model to relate each biomarker to the probability of a subject’s classification as an FP, CML, CEL, and MGHI, but not HbA1c, showed a significant relationship to the probability of FP. CONCLUSIONS The results suggest that these three major AGEs may be early indicators of progression of important DN lesions.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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