4.4 Article

Sphingomyelin is associated with kidney disease in type 1 diabetes (The FinnDiane Study)

期刊

METABOLOMICS
卷 8, 期 3, 页码 369-375

出版社

SPRINGER
DOI: 10.1007/s11306-011-0343-y

关键词

Diabetic nephropathy; NMR metabonomics; Fatty acids; Sphingolipids; Phospholipids; Lipoprotein subclasses

资金

  1. Folkhalsan Research Foundation
  2. Wilhelm and Else Stockmann Foundation
  3. Liv och Halsa Foundation
  4. CEED3 partnership within European Union [223211]
  5. National Graduate School of Organic Chemistry and Chemical Biology in University of Eastern Finland
  6. Jenny and Antti Wihuri Foundation
  7. Academy of Finland
  8. Finnish Cardiovascular Research Foundation

向作者/读者索取更多资源

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 a parts per thousand currency sign AER < 200 mu g/min or 30 a parts per thousand currency sign AER < 300 mg/24 h) and 26% had overt kidney disease (macroalbuminuria AER a parts per thousand yen 200 mu g/min or AER a parts per thousand yen 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, < 10(-7)), large VLDL cholesterol (odds ratio 2.36, < 10(-10)), total triglycerides (odds ratio 1.88, < 10(-6)), omega-9 and saturated fatty acids (odds ratio 1.82, < 10(-5)), glucose disposal rate (odds ratio 0.44, < 10(-9)), large HDL cholesterol (odds ratio 0.39, < 10(-9)) and glomerular filtration rate (odds ratio 0.19, < 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 ( < 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.

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