title: Relationship between adiponectin and metabolic variables in Caribbean offspring of patients with type 2 diabetes mellitus.
abstract: OBJECTIVE
  To examine the relationship between adiponectin and metabolic variables in the offspring of patients with type 2 diabetes mellitus.
  
  
  METHODS
  Fasting blood samples and anthropometric indices were taken from 34 subjects, offspring of patients with type 2 diabetes, and 24 healthy control subjects without any immediate family history of diabetes. Plasma glucose and serum adiponectin, insulin, triglycerides, total cholesterol, HDL and LDL cholesterol levels were measured, and insulin resistance (IR) was calculated based on the homeostasis model assessment (HOMA) method.
  
  
  RESULTS
  Offspring and control subjects were sex-matched, but the offspring were older and had higher body mass index and waist circumference than the control subjects (p < 0.05). The offspring had significantly higher mean fasting plasma glucose concentrations; however, their mean serum insulin, adiponectin, triglyceride, total cholesterol, HDL and LDL cholesterol and HOMA-derived IR levels did not significantly differ from those of the control subjects (p > 0.05). While the negative correlation between serum adiponectin and HDL cholesterol levels in the offspring remained statistically significant after adjusting for the effect of age, sex and BMI (r = -0.37, p < 0.05), the negative correlation between adiponectin and serum triglyceride, LDL cholesterol or IR levels became non-significant after controlling for the above variables (p > 0.05 in all cases).
  
  
  CONCLUSIONS
  The correlation between adiponectin and some known biochemical risk factors for developing diabetes and cardiovascular disease in the offspring of patients with diabetes warrants further study to evaluate its potential in assessing the risk of developing these disorders.
authors.affiliation: Unit of Pathology & Microbiology, Faculty of Medical Sciences, The University of the West Indies, St. Augustine, Trinidad. ezenwaka@tstt.net.tt
authors.forename: C E
authors.initials: CE
authors.lastname: Ezenwaka
authors.forename: R
authors.initials: R
authors.lastname: Kalloo
authors.forename: M
authors.initials: M
authors.lastname: Uhlig
authors.forename: J
authors.initials: J
authors.lastname: Eckel
mesh_terms: D052242:Adiponectin; D000328:Adult; D015415:Biomarkers; D001786:Blood Glucose; D002318:Cardiovascular Diseases / Q000453:epidemiology; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003924:Diabetes Mellitus, Type 2 / Q000097:blood* / Q000453:epidemiology*; D004734:Energy Metabolism / Q000502:physiology*; D005192:Family Health; D005260:Female; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D036341:Intercellular Signaling Peptides and Proteins / Q000097:blood*; D008297:Male; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood; D014300:Trinidad and Tobago / Q000453:epidemiology
chemical_list: D052242:Adiponectin; D015415:Biomarkers; D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D007328:Insulin; D036341:Intercellular Signaling Peptides and Proteins; D014280:Triglycerides