title: The association of serum lipids and inflammatory biomarkers with renal function in men with type II diabetes mellitus.
abstract: Dyslipidemia and inflammation may promote renal disease via mechanisms of vascular endothelial cell dysfunction in type II diabetes mellitus (DM). Sparse data, however, are available on the relation of lipids and inflammatory biomarkers and glomerular filtration rate (GFR) in type II DM. We performed a cross-sectional study of 732 men with type II DM enrolled in the Health Professionals' Follow-Up Study. Plasma creatinine was used to estimate GFR by the simplified Modification of Diet in Renal Disease (MDRD) equation. In men with a GFR <60 ml/min/1.73 m(2), triglycerides, non-high-density lipoprotein (HDL), apoprotein B, fibrinogen, soluble tumor necrosis factor receptor (sTNFR-2) and vascular cell adhesion molecule-1 (VCAM) were significantly higher when compared to the referent group (GFR> or =90 ml/min/1.73 m(2)). In multivariable logistic regression, those in the highest quartiles of the following biomarkers had increased odds of having a GFR <60 ml/min/1.73 m(2) when compared to those in the lowest quartiles: triglycerides (odds ratio (OR) 3.11; 95% CI, 1.52-6.36), fibrinogen (OR 5.40; 95% CI 2.14-13.65), sTNFR-2 (OR 8.34; 95% CI 3.50-19.88) and VCAM (OR 4.50; 95% CI 1.98-10.23). An inverse association was observed for HDL (OR 0.48; 95% CI 0.24-0.98). We found no association between C-reactive protein and GFR. The results were similar when creatinine clearance by Cockcroft-Gault was used to estimate kidney function. We conclude that several potentially modifiable lipid and inflammatory biomarkers are elevated in the setting of moderately decreased GFR in men with type II DM and may be the link between renal insufficiency and increased risk for cardiovascular events in this population.
authors.affiliation: Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. jlin11@partners.org
authors.forename: J
authors.initials: J
authors.lastname: Lin
authors.forename: F B
authors.initials: FB
authors.lastname: Hu
authors.forename: E B
authors.initials: EB
authors.lastname: Rimm
authors.forename: N
authors.initials: N
authors.lastname: Rifai
authors.forename: G C
authors.initials: GC
authors.lastname: Curhan
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers; D002097:C-Reactive Protein / Q000032:analysis; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000150:complications* / Q000503:physiopathology; D003928:Diabetic Nephropathies / Q000097:blood / Q000209:etiology*; D005919:Glomerular Filtration Rate; D006801:Humans; D018799:Intercellular Adhesion Molecule-1 / Q000097:blood; D007668:Kidney / Q000503:physiopathology*; D008055:Lipids / Q000097:blood*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D047889:Receptors, Tumor Necrosis Factor, Type II / Q000097:blood; D019010:Vascular Cell Adhesion Molecule-1 / Q000097:blood
chemical_list: D015415:Biomarkers; D008055:Lipids; D047889:Receptors, Tumor Necrosis Factor, Type II; D019010:Vascular Cell Adhesion Molecule-1; D018799:Intercellular Adhesion Molecule-1; D002097:C-Reactive Protein