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Body mass index, physical activity, and serum markers of inflammation, immunity, and insulin resistance.

ABSTRACT: BACKGROUND:Epidemiologic studies examining circulating levels of inflammatory markers in relation to obesity and physical inactivity may aid in our understanding of the role of inflammation in obesity-related cancers. However, previous studies on this topic have focused on a limited set of markers. METHODS:We evaluated associations between body mass index (BMI) and vigorous physical activity level, based on self-report, and serum levels of 78 inflammation-related markers. Markers were measured using a bead-based multiplex method among 1,703 men and women, ages 55-74 years, and with no prior history of cancer at blood draw, and selected for case-control studies nested within the Prostate, Lung, Ovarian, and Colorectal Cancer Screening Trial. Analyses were adjusted for age, sex, smoking, case-control study, physical activity, and BMI. RESULTS:Twelve markers were positively associated with BMI after FDR correction. ORs and 95% confidence interval (CI) for highest versus lowest levels of CCL2/MCP-1, CXCL5/ENA-78, sTNFRII, CXCL10/IP-10, CXCL6/GCP2, CCL13/MCP-4, amylin, CRP, C-peptide, CCL19/MIP-3b, insulin, and leptin were: 1.50 (1.14-1.98), 1.52 (1.12-2.05), 1.61 (1.17-2.20), 1.69 (1.25-2.28), 1.74 (1.24-2.44), 1.75 (1.22-2.50), 1.91 (1.31-2.78), 2.41 (1.36-4.25), 2.78 (1.83-4.24), 3.30 (2.28-4.78), 4.05 (2.51-6.55), and 50.03 (19.87-125.99) per 5 kg/m(2), respectively. Only CXCL12/SDF-1a was associated with physical activity (?3 vs. <1 h/wk; OR, 3.28; 95% CI, 1.55-6.94) after FDR correction. CONCLUSIONS:BMI was associated with a wide range of circulating markers involved in the inflammatory response. IMPACT:This cross-sectional analysis identified serum markers could be considered in future studies aimed at understanding the underlying mechanisms linking inflammation with obesity and obesity-related cancers.

SUBMITTER: Kitahara CM

PROVIDER: S-EPMC4257882 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

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Body mass index, physical activity, and serum markers of inflammation, immunity, and insulin resistance.

Kitahara Cari M CM Trabert Britton B Katki Hormuzd A HA Chaturvedi Anil K AK Kemp Troy J TJ Pinto Ligia A LA Moore Steven C SC Purdue Mark P MP Wentzensen Nicolas N Hildesheim Allan A Shiels Meredith S MS

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20140923 12

<h4>Background</h4>Epidemiologic studies examining circulating levels of inflammatory markers in relation to obesity and physical inactivity may aid in our understanding of the role of inflammation in obesity-related cancers. However, previous studies on this topic have focused on a limited set of markers.<h4>Methods</h4>We evaluated associations between body mass index (BMI) and vigorous physical activity level, based on self-report, and serum levels of 78 inflammation-related markers. Markers ...[more]

PMID: 25249326

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Project description:BackgroundPerfluorooctanoate (PFOA) has been used extensively in the manufacture of both commercial and household products. PFOA serum concentrations have been associated with adverse health effects, including lower body mass in children and infants.ObjectiveTo determine if there is an association between serum PFOA concentration and body mass, serum insulin and lipid profile in exposed young girls.MethodsWe conducted a cross-sectional study of PFAS environmental biomarkers and insulin resistance in 6 to 8 year-old girls from Greater Cincinnati (n=353). In 2004-2006, blood samples were obtained to measure polyfluoroalkyl substances (PFAS), fasting insulin, glucose and lipids. Clinical exams included anthropometric measurements and pubertal maturation staging. Linear regression and mediation analyses, specifically structural equation modeling (SEM), were used to determine the strength and direction of the relationships between PFAS, pubertal maturation status, body mass index (BMI), cholesterol and insulin resistance.ResultsThe median PFOA (7.7ng/ml) was twice the National Health and Nutrition Examination Survey (2005-2006). Only PFOA, a PFAS sub-species, showed statistically significant relationships with the outcomes. In regression models, PFOA was associated with decreased BMI and waist-to-height ratio (p=0.0008; p=0.0343), HDL-cholesterol (p=0.0046) and had a borderline inverse association with the HOMA Index of insulin resistance (p=0.0864). In SEM, PFOA retained an inverse relationship with BMI (p<0.0001) but the relationships with HOMA and HDL-cholesterol were no longer statistically significant. Pubertal initiation (Tanner breast or pubic stage 2 or greater) and BMI were associated with increased HOMA Index (p<0.0001).ConclusionsThese findings suggest PFOA exposure in young girls affects both BMI and ultimately insulin resistance. In mediation analysis with puberty in the model, the direct effects of PFOA on insulin resistance and were reduced.

Project description:Background/objectivesObesity is often considered to increase the risk for premature mortality. Higher fasting insulin and c-reactive protein are associated with higher body mass index (BMI) and all-cause mortality, so may confound the association between obesity and mortality. Our objective was to determine the independent associations between BMI, fasting insulin, c-reactive protein, and all-cause mortality in a general population sample.MethodsThis prospective cohort study included non-institutionalized US adults (≥20 years) from the National Health and Nutrition Examination Surveys 1999-2000 to 2013-2014. The main exposures of interest were BMI, fasting insulin, c-reactive protein. Mortality data were obtained through linking participants to the National Death Index (ending December 31, 2015).ResultsThere were 12,563 participants with a median age of 45 years (range 20-85) and 47.9% were male. The median BMI was 27 kg/m2 (IQR 24-32), median fasting insulin was 54 pmol/L (IQR 35-87), and median c-reactive protein was 1.9 mg/L (IQR 0.8-4.4). In a Cox model adjusted for age, biological sex, cigarette smoking, and ten chronic conditions, higher BMI parameterized with quadratic and linear terms was not associated with mortality. When fasting insulin and the natural logarithm of c-reactive protein were included in the model, an inverse association between BMI and mortality was present (compared to the referent category of 5th percentile: 1st percentile, HR 1.10, 95% CI 1.06-1.13; 99th percentile, HR 0.48, 95% CI 0.34-0.69). In contrast, higher levels of fasting insulin and c-reactive protein were associated with an increased risk of mortality (for fasting insulin: 1st percentile, HR 0.98, 95% CI 0.97-0.99; 99th percentile, HR 1.83, 95% CI 1.48-2.26; for c-reactive protein, 1st percentile, HR 0.87, 95% CI 0.84-0.90; 99th percentile, HR 2.77, 95% CI 2.12-3.62).ConclusionsHigher fasting insulin and higher c-reactive protein confound the association between BMI and the risk of all-cause mortality. The increase in mortality that has been attributed to higher BMI is more likely due to hyperinsulinemia and inflammation rather than obesity.

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Dataset Information

Body mass index, physical activity, and serum markers of inflammation, immunity, and insulin resistance.

Publications

Body mass index, physical activity, and serum markers of inflammation, immunity, and insulin resistance.

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