title: Impact of family history of diabetes on the assessment of beta-cell function.
abstract: Numerous factors impinge on beta-cell function, and include the genetic background and insulin sensitivity of the individual. The aim of the present study was to evaluate the impact of a family history of non-insulin-dependent diabetes mellitus (NIDDM) on beta-cell function and to determine whether the relationships between beta-cell function and insulin sensitivity and age are influenced by a family history of diabetes. Thirty-three healthy control subjects (CON), 20 normal glucose-tolerant first-degree relatives of known NIDDM patients (REL), and 12 nondiabetic identical twins with an identical twin with known NIDDM were studied. Insulin and C-peptide responses to an acute intravenous glucose (AIRg) and glucagon bolus (at euglycemia [AIR[G.GON]]) were measured, as well as each individual's insulin sensitivity. Fasting insulin and C-peptide levels were similar in all groups. AIRg was significantly reduced by 65% in the nondiabetic twins compared with the CON and REL groups, with the latter group being similar to CON, whereas for the AIR[G.GON], the insulin responses in the twin subjects were reduced only by 35% compared with CON. Following stepwise (default) multiple regression analysis, three independent variables (insulin sensitivity, 23%; family history of NIDDM, 20%; and fasting glucose, 7%) were identified, and these combined to fit a model for prediction of acute beta-cell responses to glucose that yielded an R2 (adjusted) value of 50%. Following analysis of covariance (ANCOVA), a positive family history of NIDDM and insulin sensitivity but not the age of the subject were confirmed as separate factors affecting AIRg. In conclusion, in subjects with normal or mild glucose intolerance, the individual's genetic background and insulin sensitivity are important determinants of insulin secretion.
authors.affiliation: Department of Endocrinology and Diabetes, St. Vincent's Hospital, Melbourne, Australia.
authors.forename: F P
authors.initials: FP
authors.lastname: Alford
authors.forename: J E
authors.initials: JE
authors.lastname: Henriksen
authors.forename: C
authors.initials: C
authors.lastname: Rantzau
authors.forename: A
authors.initials: A
authors.lastname: Vaag
authors.forename: L F
authors.initials: LF
authors.lastname: Hew
authors.forename: G M
authors.initials: GM
authors.lastname: Ward
authors.forename: H
authors.initials: H
authors.lastname: Beck-Nielsen
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D001824:Body Constitution; D015992:Body Mass Index; D002096:C-Peptide / Q000097:blood; D003627:Data Interpretation, Statistical; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000235:genetics* / Q000503:physiopathology*; D005192:Family Health; D005215:Fasting; D005260:Female; D005934:Glucagon / Q000494:pharmacology; D005947:Glucose / Q000494:pharmacology; D005951:Glucose Tolerance Test; D006801:Humans; D007328:Insulin / Q000097:blood / Q000235:genetics / Q000378:metabolism; D007333:Insulin Resistance; D000078790:Insulin Secretion; D007515:Islets of Langerhans / Q000166:cytology / Q000503:physiopathology*; D016014:Linear Models; D008297:Male; D008875:Middle Aged
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D002096:C-Peptide; D007328:Insulin; D005934:Glucagon; D005947:Glucose