Serum ferritin is inversely correlated with serum adiponectin level: population-based cross-sectional study.
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.
Ku
Bon-Jeong
BJ
Department of Internal Medicine, Chungnam National University School of Medicine, Daejeon, Korea.
Kim
Seul-Young
SY
Lee
Tae-Yong
TY
Park
Kang-Seo
KS
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
D052242:Adiponectin; D015415:Biomarkers; D001786:Blood Glucose; D007328:Insulin; D008055:Lipids; D002097:C-Reactive Protein; D005293:Ferritins