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Sphingomyelin is Associated with Kidney Disease in Type 1 Diabetes (The FinnDiane Study)

Overview
Journal Metabolomics
Publisher Springer
Specialty Endocrinology
Date 2012 Jun 5
PMID 22661917
Citations 30
Authors
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Abstract

Diabetic kidney disease, diagnosed by urinary albumin excretion rate (AER), is a critical symptom of chronic vascular injury in diabetes, and is associated with dyslipidemia and increased mortality. We investigated serum lipids in 326 subjects with type 1 diabetes: 56% of patients had normal AER, 17% had microalbuminuria (20 ≤ AER < 200 μg/min or 30 ≤ AER < 300 mg/24 h) and 26% had overt kidney disease (macroalbuminuria AER ≥ 200 μg/min or AER ≥ 300 mg/24 h). Lipoprotein subclass lipids and low-molecular-weight metabolites were quantified from native serum, and individual lipid species from the lipid extract of the native sample, using a proton NMR metabonomics platform. Sphingomyelin (odds ratio 2.53, P < 10(-7)), large VLDL cholesterol (odds ratio 2.36, P < 10(-10)), total triglycerides (odds ratio 1.88, P < 10(-6)), omega-9 and saturated fatty acids (odds ratio 1.82, P < 10(-5)), glucose disposal rate (odds ratio 0.44, P < 10(-9)), large HDL cholesterol (odds ratio 0.39, P < 10(-9)) and glomerular filtration rate (odds ratio 0.19, P < 10(-10)) were associated with kidney disease. No associations were found for polyunsaturated fatty acids or phospholipids. Sphingomyelin was a significant regressor of urinary albumin (P < 0.0001) in multivariate analysis with kidney function, glycemic control, body mass, blood pressure, triglycerides and HDL cholesterol. Kidney injury, sphingolipids and excess fatty acids have been linked in animal models-our exploratory approach provides independent support for this relationship in human patients with diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-011-0343-y) contains supplementary material, which is available to authorized users.

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References
1.
Best L, Zhang Y, Lee E, Yeh J, Cowan L, Palmieri V . C-reactive protein as a predictor of cardiovascular risk in a population with a high prevalence of diabetes: the Strong Heart Study. Circulation. 2005; 112(9):1289-95. DOI: 10.1161/CIRCULATIONAHA.104.489260. View

2.
Kennedy A, Martinez K, Chuang C, LaPoint K, McIntosh M . Saturated fatty acid-mediated inflammation and insulin resistance in adipose tissue: mechanisms of action and implications. J Nutr. 2008; 139(1):1-4. DOI: 10.3945/jn.108.098269. View

3.
Makinen V, Forsblom C, Thorn L, Waden J, Gordin D, Heikkila O . Metabolic phenotypes, vascular complications, and premature deaths in a population of 4,197 patients with type 1 diabetes. Diabetes. 2008; 57(9):2480-7. PMC: 2518500. DOI: 10.2337/db08-0332. View

4.
Cao J, Arnold A, Manolio T, Polak J, Psaty B, Hirsch C . Association of carotid artery intima-media thickness, plaques, and C-reactive protein with future cardiovascular disease and all-cause mortality: the Cardiovascular Health Study. Circulation. 2007; 116(1):32-8. DOI: 10.1161/CIRCULATIONAHA.106.645606. View

5.
Hicks A, Pramstaller P, Johansson A, Vitart V, Rudan I, Ugocsai P . Genetic determinants of circulating sphingolipid concentrations in European populations. PLoS Genet. 2009; 5(10):e1000672. PMC: 2745562. DOI: 10.1371/journal.pgen.1000672. View