title: Peripheral, rather than hepatic, insulin resistance and atherogenic lipoprotein phenotype predict cardiovascular complications in NIDDM.
abstract: Microalbuminuria, hypertension and hyperinsulinaemia are three independent risk factors for cardiac disease in non insulin-dependent diabetes (NIDDM). However, it is unknown to what extent hyperinsulinaemia reflects resistance to insulin action at hepatic, extrahepatic or at both sites. A cross-sectional study from our Department showed that peripheral insulin resistance, hypertension, microalbuminuria and lipid abnormalities are associated in NIDDM. Non diabetic individuals with the so-called 'atherogenic lipoprotein phenotype', characterized by small dense low density lipoproteins (LDL subclass pattern B) have up to 3-fold higher risk of myocardial infarction. The aim of the present study was to investigate whether impaired peripheral insulin sensitivity, during euglycaemic-hyperinsulinaemic clamp, as well as abnormalities in lipid concentrations and LDL size, predict abnormalities in albumin excretion rate, blood pressure and cardiac function in 73 consecutive normotensive (< 85 mmHg diastolic level) and normoalbuminuric (< 15 micrograms min-1 daily albumin excretion rate) NIDDM patients. These patients showed a bimodal distribution of whole body glucose utilization rate, a parameter of peripheral insulin sensitivity. The cut-off point between the two modes of distribution was located close to the mean value minus one standard deviation in a population of 24 control subjects. Therefore, this latter value was used to identify two subgroups inside the overall population of NIDDM patients, i.e. 28 patients (group 1), with whole body glucose utilization rate, above, and 45 patients (group 2), below, the mean value minus 1 SD in the 24 controls.(ABSTRACT TRUNCATED AT 250 WORDS)
authors.affiliation: Department of Internal Medicine, University of Padua School of Medicine, Italy.
authors.forename: R
authors.initials: R
authors.lastname: Nosadini
authors.forename: E
authors.initials: E
authors.lastname: Manzato
authors.forename: A
authors.initials: A
authors.lastname: Solini
authors.forename: P
authors.initials: P
authors.lastname: Fioretto
authors.forename: E
authors.initials: E
authors.lastname: Brocco
authors.forename: S
authors.initials: S
authors.lastname: Zambon
authors.forename: A
authors.initials: A
authors.lastname: Morocutti
authors.forename: M
authors.initials: M
authors.lastname: Sambataro
authors.forename: M
authors.initials: M
authors.lastname: Velussi
authors.forename: M R
authors.initials: MR
authors.lastname: Cipollina
mesh_terms: D000328:Adult; D000368:Aged; D000418:Albumins / Q000378:metabolism; D001794:Blood Pressure / Q000502:physiology; D002318:Cardiovascular Diseases / Q000150:complications; D002784:Cholesterol / Q000097:blood*; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000503:physiopathology*; D005260:Female; D005500:Follow-Up Studies; D005947:Glucose / Q000378:metabolism*; D006801:Humans; D007262:Infusions, Intravenous; D007328:Insulin / Q000008:administration & dosage*; D007333:Insulin Resistance / Q000502:physiology*; D008099:Liver / Q000187:drug effects / Q000378:metabolism*; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D000418:Albumins; D007328:Insulin; D014280:Triglycerides; D002784:Cholesterol; D005947:Glucose