OBJECTIVE - To test the hypothesis that selected abnormalities cluster in type 2 diabetic families. Offspring of patients with type 2 diabetes have a 40-60% chance of developing type 2 diabetes and an increased frequency of impaired glucose tolerance (IGT) or unknown diabetes. These offspring also show metabolic abnormalities of type 2 diabetes, such as insulin resistance, high insulin and pro-insulin, low HDL cholesterol levels, arterial hypertension, and microalbuminuria. RESEARCH DESIGN AND METHODS - We studied 87 families including at least one type 2 diabetic patient, i.e., 87 probands and 146 siblings; 60 spouses of probands with no family history of diabetes were compared with siblings. Familial clustering was evaluated by 2 methods: concordance of siblings and probands for a given abnormality (method 1) and intraclass correlation coefficients of values within each family (method 2). RESULTS - At oral glucose tolerance testing, 24 siblings had type 2 diabetes, 31 siblings had IGT, and 14 spouses had IGT (P = 0.0012 vs. siblings). With method 1, familial clustering occurred for microalbuminuria, insulin resistance, arterial hypertension, HDL cholesterol and pro-insulin levels; with method 2, familial clustering was observed for the same variables except for microalbuminuria. With both method 1 and 2, familial clustering for insulin resistance disappeared, whereas familial clustering for arterial bloodpressure, HDL cholesterol, and pro-insulin remained after correction for BMI; after further restriction of analysis to probands and to siblings with normal glucose tolerance, familial clustering for pro-insulin was observed only with method 2. CONCLUSIONS - These data indicate that siblings of diabetic patients are at high risk for selected features of type 2 diabetes.
Familial clustering of arterial blood pressure, HDL cholesterol, and pro-insulin but not of insulin resistance and microalbuminuria in siblings of patients with type 2 diabetes / A.E. Pontiroli, L.D. Monti, A. Pizzini, P. Piatti. - In: DIABETES CARE. - ISSN 0149-5992. - 23:9(2000 Sep), pp. 1359-1364. [10.2337/diacare.23.9.1359]
Familial clustering of arterial blood pressure, HDL cholesterol, and pro-insulin but not of insulin resistance and microalbuminuria in siblings of patients with type 2 diabetes
A.E. PontiroliPrimo
;
2000
Abstract
OBJECTIVE - To test the hypothesis that selected abnormalities cluster in type 2 diabetic families. Offspring of patients with type 2 diabetes have a 40-60% chance of developing type 2 diabetes and an increased frequency of impaired glucose tolerance (IGT) or unknown diabetes. These offspring also show metabolic abnormalities of type 2 diabetes, such as insulin resistance, high insulin and pro-insulin, low HDL cholesterol levels, arterial hypertension, and microalbuminuria. RESEARCH DESIGN AND METHODS - We studied 87 families including at least one type 2 diabetic patient, i.e., 87 probands and 146 siblings; 60 spouses of probands with no family history of diabetes were compared with siblings. Familial clustering was evaluated by 2 methods: concordance of siblings and probands for a given abnormality (method 1) and intraclass correlation coefficients of values within each family (method 2). RESULTS - At oral glucose tolerance testing, 24 siblings had type 2 diabetes, 31 siblings had IGT, and 14 spouses had IGT (P = 0.0012 vs. siblings). With method 1, familial clustering occurred for microalbuminuria, insulin resistance, arterial hypertension, HDL cholesterol and pro-insulin levels; with method 2, familial clustering was observed for the same variables except for microalbuminuria. With both method 1 and 2, familial clustering for insulin resistance disappeared, whereas familial clustering for arterial bloodpressure, HDL cholesterol, and pro-insulin remained after correction for BMI; after further restriction of analysis to probands and to siblings with normal glucose tolerance, familial clustering for pro-insulin was observed only with method 2. CONCLUSIONS - These data indicate that siblings of diabetic patients are at high risk for selected features of type 2 diabetes.Pubblicazioni consigliate
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