Positive association between plasma IGF1 and high-density lipoprotein cholesterol levels in adult nondiabetic subjects

Elena Succurro, Franco Arturi, Alessandro Grembiale, Fiorella Iorio, Irma Laino, Francesco Andreozzi, Angela Sciacqua, Marta Letizia Hribal, Francesco Perticone, Giorgio Sesti

European Journal of Endocrinology · 2010 · 33 citations · 31 references

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Abstract

AIMS: Low IGF1 levels have been associated with an increased cardiovascular risk. It is unknown however whether IGF1 mediates the atherosclerotic process by modulating high-density lipoprotein cholesterol (HDL-C) independently from confounders. To address this issue, we evaluated the association between IGF1 levels and HDL-C in nondiabetic subjects. METHODS: A cross-sectional analysis was used in the context of the CAtanzaro MEtabolic RIsk factors Study. One thousand and four participants (aged 20-69 years), for whom HDL-C and IGF1 measurements were available, were eligible for the study. RESULTS: After adjusting for gender and age, IGF1 levels were positively correlated with HDL-C, and negatively correlated with body mass index (BMI), waist circumference, blood pressure (BP), triglyceride, fasting insulin, and homeostasis model assessment (HOMA). In a logistic regression model adjusted for age and gender, IGF1 in the lowest tertile (<125 ng/ml) was associated with an increased risk of having low HDL-C (odds ratio (OR) 2.14, 95% confidence interval (CI) 1.4-3.0; P=4x10(-5)) compared with the highest tertile (>186 ng/ml). When BMI, waist circumference, total cholesterol, triglyceride, and HOMA index were added to the model, IGF1 remained significantly associated with increased risk of low HDL-C (OR 1.52, 95% CI 1.01-2.31; P=0.04). A stepwise multivariate regression analysis in a model including age, gender, BMI, total cholesterol, triglycerides, IGF1, HOMA, and BP showed that the variables significantly associated with HDL-C were gender (P<0.0001), triglycerides (P<0.0001), total cholesterol (P<0.0001), BMI (P<0.0001), IGF1 levels (P<0.0001), and HOMA (P=0.001), accounting for 32.6% of its variation. CONCLUSIONS: These data provide evidence that IGF1 may be an independent modulator for HDL-C in nondiabetic individuals.

References

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