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Correlates and reference limits of plasma gamma-glutamyltransferase fractions from the Framingham Heart Study.

ABSTRACT: We assessed GGT fractions correlates and their reference values in the Offspring Cohort of the Framingham Heart Study.Correlates of GGT fractions were assessed by multivariable regression analysis in 3203 individuals [47% men, mean age (SD): 59 (10) years]. GGT fractions reference values were established by empirical quantile analysis in a reference group of 432 healthy subjects [45% men, 57 (10) years].Fractional GGT levels were higher in men than in women (P<0.0001). In both sexes, fractions were associated with: triglycerides were associated with b-GGT, alcohol consumption with m-, s- and f-GGT. C-reactive protein with m- and s-GGT, while plasminogen activator inhibitor-1 with b- and f-GGT. Body mass index, blood pressure, glucose and triglycerides correlated with b- and f-GGT. In comparison with the reference group [b-GGT/s-GGT median (Q1-Q3): 0.51 (0.35-0.79)U/L], subjects affected by cardiovascular disease or diabetes showed no change of b/s ratio [0.52 (0.34-0.79)U/L, 0.57 (0.40-0.83)U/L, respectively]. The b/s ratio was higher in presence of metabolic syndrome [0.61 (0.42-0.87)U/L, P<0.0001], while lower in heavy alcohol consumers [0.41 (0.28-0.64)U/L, P<0.0001].Metabolic and cardiovascular risk markers are important correlates of GGT fractions, in particular of b-GGT.

SUBMITTER: Franzini M

PROVIDER: S-EPMC4154585 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature

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Correlates and reference limits of plasma gamma-glutamyltransferase fractions from the Framingham Heart Study.

Franzini Maria M Fornaciari Irene I Rong Jian J Larson Martin G MG Passino Claudio C Emdin Michele M Paolicchi Aldo A Vasan Ramachandran S RS

Clinica chimica acta; international journal of clinical chemistry 20121214

<h4>Background</h4>We assessed GGT fractions correlates and their reference values in the Offspring Cohort of the Framingham Heart Study.<h4>Methods</h4>Correlates of GGT fractions were assessed by multivariable regression analysis in 3203 individuals [47% men, mean age (SD): 59 (10) years]. GGT fractions reference values were established by empirical quantile analysis in a reference group of 432 healthy subjects [45% men, 57 (10) years].<h4>Results</h4>Fractional GGT levels were higher in men t ...[more]

PMID: 23247050

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Project description:OBJECTIVES:Traditional clinical risk factors are associated with inflammation cross-sectionally, but associations of longitudinal variation in inflammatory biomarkers with corresponding changes in clinical risk factors are incompletely described. We sought to analyze clinical factors associated with change in inflammation in the community. METHODS:We studied 3013 Framingham Offspring (n = 2735) and Omni Cohort (n = 278) participants (mean age 59 years, 55% women, 9% ethnic/racial minority) who attended two consecutive examination cycles (mean 6.7 years apart). We selected ten inflammatory biomarkers representing distinctive biological functions: C-reactive protein (CRP), intercellular adhesion molecule-1, interleukin-6, isoprostanes, lipoprotein-associated phospholipase-2 (Lp-PLA2) activity, Lp-PLA2-mass, monocyte chemoattractant protein-1, osteoprotegerin, P-selectin, and tumor necrosis factor receptor II (TNFRII). We constructed multivariable-adjusted regression models to assess the relations of baseline, follow-up and change in clinical risk factors with change in biomarker concentrations over time. RESULTS:Baseline, follow-up and change in clinical risk factors explain a moderate amount of the variation in biomarker concentrations across 2 consecutive examinations (ranging from r(2) = 0.28 [TNFRII] up to 0.52 [Lp-PLA2-mass]). In multivariable models, increasing body-mass index, smoking initiation, worsening lipid profile, and increasing waist size were associated with increasing concentrations of several biomarkers. Conversely, hypercholesterolemia therapy and hormone replacement cessation were associated with decreasing concentrations of biomarkers such as CRP, Lp-PLA2-mass and activity. CONCLUSION:Cardiovascular risk factors have different patterns of association with longitudinal change in inflammatory biomarkers and explain modest amounts of variability in biomarker concentrations. Nevertheless, a substantial proportion of longitudinal change in inflammatory markers is not explained by traditional risk factors.

Dataset Information

Correlates and reference limits of plasma gamma-glutamyltransferase fractions from the Framingham Heart Study.

Publications

Correlates and reference limits of plasma gamma-glutamyltransferase fractions from the Framingham Heart Study.

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