207 Level of erythropoietin, sVCAM-1 and VEGF in blood of obese adolescents

Novikova, VP; Vl, Gritsinskaya; Petrenko, Yu. V.; Гурова, М. Ю.; Гурина, О. П.; Varlamova, O. V.; Блинов, А Ю; El, Strukov; Nn, Smirnova; Kuprienko, NB; Milner, EB

doi:10.1136/archdischild-2021-europaediatrics.207

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hereby, the positive association between the uGRS and logBMI was steadily maintained after adjustments for all three models of confounding factors (Model 1: β = 0.0044, p-value = 0.003, Model 2: β = 0.0043, p-value = 0.005, Model 3: β = 0.004, p-value = 0.009) and adolescents with high versus low genetic risk also presented higher values of logBMI, suggesting an aggravating effect in BMI as a genetic risk for higher VEGF-A increases. In a similar context to the present, Novikova et al showed that compared to individuals of normal weight, adolescents with obesity presented a 12-fold increase in corresponding VEGF-A levels [37]. To boot, Loebig et al showed a similar positive association in healthy young men (aged 18-30 years old) under normal blood sugar conditions, where higher levels of VEGF-A were consistently associated with increased weight [38].…”

Section: Discussionsupporting

confidence: 67%

Associations of VEGF-A-Related Variants with Adolescent Cardiometabolic and Dietary Parameters

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionsupporting

confidence: 67%