Why the study?
Previous research identified VEGF-A-related variants associated with anthropometric, lipidemic, and glycemic indices, but their relations with cardiometabolic parameters and dietary habits in adolescents remained unexamined.
Are VEGF-A-related genetic variants associated with cardiometabolic and dietary parameters in adolescents?
Are VEGF-A-related genetic variants associated with cardiometabolic and dietary parameters in adolescents?
VEGF-A-related genetic variants and a genetic risk score are associated with cardiometabolic parameters like blood pressure and BMI in adolescents, with dietary patterns modifying these effects.
Answers are grounded in this paper and cite their sources.
VEGF-A variants associated with BP and BMI in adolescents should not yet change practice; hypothesis-generating for prospective cardiometabolic risk studies.
Previous research has allowed the identification of variants related to the vascular endothelial growth factor-A (VEGF-A) and their association with anthropometric, lipidemic and glycemic indices. The present study examined potential relations between key VEGF-A-related single-nucleotide polymorphisms (SNPs), cardiometabolic parameters and dietary habits in an adolescent cohort. Cross-sectional analyses were conducted using baseline data from 766 participants of the Greek TEENAGE study. Eleven VEGF-A-related SNPs were examined for associations with cardiometabolic indices through multivariate linear regressions after adjusting for confounding factors. A 9-SNP unweighted genetic risk score (uGRS) for increased VEGF-A levels was constructed to examine associations and the effect of its interactions with previously extracted dietary patterns for the cohort. Two variants (rs4416670, rs7043199) displayed significant associations (p-values < 0.005) with the logarithms of systolic and diastolic blood pressure (logSBP and logDBP). The uGRS was significantly associated with higher values of the logarithm of Body Mass Index (logBMI) and logSBP (p-values < 0.05). Interactions between the uGRS and specific dietary patterns were related to higher logDBP and logGlucose (p-values < 0.01). The present analyses constitute the first-ever attempt to investigate the influence of VEGF-A-related variants on teenage cardiometabolic determinants, unveiling several associations and the modifying effect of diet.
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Kafyra et al. (2023) studied this question.
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