title: Relationship between fat intake and glomerular filtration rate in normotensive insulin-dependent diabetic patients.
abstract: Glomerular hyperfiltration is a candidate marker for diabetic nephropathy in insulin-dependent diabetic patients since it can reflect elevated glomerular capillary pressure, a cause of glomerulosclerosis. We studied the potential contribution of several dietary components to glomerular hyperfiltration during a cross-sectional study of 110 consecutive normotensive, non-proteinuric insulin-dependent patients with respect to glomerular filtration rate (GFR) and food intake. GFR was measured using the 51Cr-EDTA plasma disappearance technique. Glomerular hyperfiltration was defined as GFR > 137 ml.min-1 1.73 m-2 (mean +2 SD of age-matched healthy controls). Food intake was recorded with a computer-assisted programme. Thirteen patients displaying glomerular hyperfiltration ingested more protein (1.60 +/- 37 vs 1.38 +/- 0.34 g.kg-1 body weight.day-1; p = 0.032) and more fat (1.70 +/- 0.54 vs 1.39 +/- 0.44 g.kg-1 body weight.day-1; p = 0.022) than other subjects, although their total energy intakes were similar. Univariate regression analysis showed that GFR was positively related to both protein (r = 0.28; p = 0.003) and fat (r = 0.25; p = 0.007) intakes and negatively related to age (r = -0.29; p = 0.002). Stepwise multivariate regression analysis indicated 2 independent determinants for GFR: age (F = 15.26) and fat intake (F = 13.15). Excess fat intake may contribute to glomerular hyperfiltration in insulin-dependent diabetes.
authors.affiliation: Unité de Diabétologie, Centre Hospitalier Universitaire, Angers, France.
authors.forename: B
authors.initials: B
authors.lastname: Bouhanick
authors.forename: S
authors.initials: S
authors.lastname: Suraniti
authors.forename: G
authors.initials: G
authors.lastname: Berrut
authors.forename: F
authors.initials: F
authors.lastname: Bled
authors.forename: G
authors.initials: G
authors.lastname: Simard
authors.forename: J J
authors.initials: JJ
authors.lastname: Lejeune
authors.forename: P
authors.initials: P
authors.lastname: Fressinaud
authors.forename: M
authors.initials: M
authors.lastname: Marre
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000419:Albuminuria; D016632:Apolipoprotein A-I / Q000097:blood; D001055:Apolipoproteins B / Q000097:blood; D001794:Blood Pressure; D001835:Body Weight; D016022:Case-Control Studies; D002784:Cholesterol / Q000097:blood; D002791:Cholesterol, Dietary; D008076:Cholesterol, HDL / Q000097:blood; D003922:Diabetes Mellitus, Type 1 / Q000097:blood / Q000503:physiopathology*; D003971:Diastole; D004040:Dietary Carbohydrates; D004041:Dietary Fats; D004044:Dietary Proteins; D002149:Energy Intake; D005260:Female; D005919:Glomerular Filtration Rate; D006442:Glycated Hemoglobin / Q000032:analysis; D006801:Humans; D008297:Male; D008875:Middle Aged; D012016:Reference Values; D013599:Systole; D014280:Triglycerides / Q000097:blood
chemical_list: D016632:Apolipoprotein A-I; D001055:Apolipoproteins B; D002784:Cholesterol; D002791:Cholesterol, Dietary; D008076:Cholesterol, HDL; D004040:Dietary Carbohydrates; D004041:Dietary Fats; D004044:Dietary Proteins; D006442:Glycated Hemoglobin; D014280:Triglycerides