title: Serum ferritin is inversely correlated with serum adiponectin level: population-based cross-sectional study.
abstract: BACKGROUND
  The serum concentrations of ferritin and adiponectin are associated with several metabolic disorders and have been used as predictors of insulin resistance and metabolic syndrome. But there have been no reports demonstrating a direct correlation between serum ferritin and adiponectin levels. We performed this study to evaluate the association between serum ferritin and adiponectin concentrations.
  
  
  METHODS
  We evaluated a total of 995 subjects from the Korea Rural Genomic Cohort Study in a population-based cross-sectional study. Extensive clinical and laboratory measurements, including adiponectin and ferritin concentrations, were recorded.
  
  
  RESULTS
  Univariate analysis revealed that the serum adiponectin level was correlated with age, sex, BMI, diastolic blood pressure, triglyceride, HDL-cholesterol, fasting blood glucose, fasting insulin, HOMA-IR, hs-CRP, and ferritin. Multivariate analysis demonstrated that the adiponectin concentration was correlated with age, BMI, fasting glucose, hs-CRP, and ferritin. The ferritin concentration was the most powerfully associated with serum adiponectin. In non-diabetic subgroups, the adiponectin level was correlated with BMI, triglyceride, HDL-cholesterol, fasting glucose, and ferritin level in multivariate analysis. In diabetic subgroups, the adiponectin level was correlated with BMI, triglyceride, hs-CRP, and ferritin level in multivariate analysis.
  
  
  CONCLUSIONS
  The serum adiponectin concentration was correlated with conventional clinical variables, but the most powerfully associated factor was the serum ferritin level.
authors.affiliation: Department of Internal Medicine, Chungnam National University School of Medicine, Daejeon, Korea.
authors.forename: Bon-Jeong
authors.initials: BJ
authors.lastname: Ku
authors.forename: Seul-Young
authors.initials: SY
authors.lastname: Kim
authors.forename: Tae-Yong
authors.initials: TY
authors.lastname: Lee
authors.forename: Kang-Seo
authors.initials: KS
authors.lastname: Park
mesh_terms: D052242:Adiponectin / Q000097:blood*; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000097:blood / Q000453:epidemiology; D005260:Female; D005293:Ferritins / Q000097:blood*; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance / Q000502:physiology; D007723:Korea / Q000453:epidemiology; D008055:Lipids / Q000097:blood; D008297:Male; D008875:Middle Aged; D012737:Sex Factors; D013223:Statistics as Topic
chemical_list: D052242:Adiponectin; D015415:Biomarkers; D001786:Blood Glucose; D007328:Insulin; D008055:Lipids; D002097:C-Reactive Protein; D005293:Ferritins