Intra-individual Variation of Plasma Adipokine Levels and Utility of Single Measurement of These Biomarkers in Population-Based Studies

Department of Medicine, Vanderbilt University, Нашвилл, Michigan, United States
Cancer Epidemiology Biomarkers & Prevention (Impact Factor: 4.13). 12/2007; 16(11):2464-70. DOI: 10.1158/1055-9965.EPI-07-0374
Source: PubMed


Adipokines, soluble mediators produced by adipocytes, may link adipose tissue to the inflammatory, metabolic, and immune dysregulation that characterize many obesity-related diseases. The stability of plasma adipokine levels within individuals, their seasonal variability, intercorrelations, and relationships to well-established measures of adiposity are incompletely defined. We measured levels of 12 adipokines [interleukin 1beta (IL-1beta), IL-6, IL-8, tumor necrosis factor-alpha (TNF-alpha), plasminogen activator inhibitor-1 (PAI-1), high-sensitivity C-reactive protein (hsCRP), monocyte chemoattractant protein-1 (MCP-1), nerve growth factor (NGF), leptin, adiponectin, hepatocyte growth factor (HGF), and resistin] in four seasonal random plasma samples of 48 male participants of a population-based cohort study. The representativeness of single measurements was assessed by correlating the adipokine levels of a single, random sample with the mean levels from the remaining three samples using a bootstrap approach and using intra-class correlation coefficients (ICC). Spearman correlations between adipokine levels, age, body mass index (BMI), and waist-to-hip ratio (WHR) were estimated. Correlations between plasma adipokine levels from one random sample and the mean of the remaining three seasonal samples ranged from 0.57 to 0.89. Over the 1-year study period, the ICCs for adipokine levels ranged from 0.44 (PAI-1) to 0.83 (HGF). IL-8, MCP-1, and resistin levels were positively associated with age; HGF and PAI-1 levels were correlated with BMI and WHR. This study suggests that adipokine levels in a single blood sample may be useful biomarkers of inflammation in population-based studies of obesity-related disease.

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    • "Hazard ratios of CHD and 95% confidence intervals were estimated using Cox regression with age as the timescale. Measurements of plasma biomarkers have been described previously and shown reasonable intra-assay and intraperson coefficients of variation [7]. Multivariable-adjusted geometric means of biomarkers by soy protein intake were calculated and compared using linear regression. "
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    • "This limitation of relying on a single blood sample is common in most surveys , and there is some statistical compensation gained by the use of large subject numbers. In addition, some papers have reported that a single assessment can be representative of IL-6 levels over an extended period of time in both Americans and Chinese samples (Hofmann et al., 2011; Lee et al., 2007; Rao et al., 1994) as well as to predict myocardial infarction and diabetes even years later (Harris et al.,1999; Pradhan et al., 2001; Ridker et al., 2000). At the same time, some have found some variability in IL-6 levels over time (Navarro et al., 2012). "
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