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Correlation of the Homeostasis Model Assessment Index and Adiponectin, Leptin and Insulin Levels to Body Mass Index-Associated Gene Polymorphisms in Adolescents. | LitMetric

AI Article Synopsis

  • This study aimed to explore how glucose, insulin, and adipokine levels relate to the presence of specific genetic variations (SNPs) and their impact on body mass index in adolescents.
  • Conducted with 71 students in Toluca, Mexico, the study gathered various health measurements to assess these correlations related to the SNPs.
  • Results indicated significant differences in leptin levels by gender, and notable correlations between insulin, HOMA index, and the presence of SNPs, suggesting a potential genetic link to metabolic syndrome risk.

Article Abstract

Objectives: This study aimed to describe correlations between glucose, insulin and adipokine levels and the homeostasis model assessment (HOMA) index with regards to the presence/absence of () rs9939609 and () rs1801282 single nucleotide polymorphisms (SNPs) as indicators of body mass index in adolescents.

Methods: This cross-sectional study was conducted between September and December 2016 in Toluca, Mexico. A total of 71 students between 14-18 years old were included. Various anthropometric and laboratory measurements were collected, including lipid profile, glucose, insulin and adipokine levels and HOMA index. The degree of association between variables was evaluated with regards to the presence/absence of the SNPs.

Results: Leptin levels were significantly higher among female students ( = 0.001), although adiponectin levels did not differ significantly ( = 0.060). There were significant positive correlations between insulin levels and HOMA index with (r = 0.391; = 0.007 and r = 0.413; = 0.005, respectively) and (r = 0.529; = 0.007 and r = 0.537; = 0.007, respectively) SNPs. Leptin showed a significant positive correlation in the presence of (r = 0.483; = 0.007) or in the absence of both SNPs (r = 0.627; = 0.039). However, adiponectin was significantly negatively correlated in the presence of , either alone (r = -0.333; = 0.024) or in combination with (r = -0.616; = 0.043).

Conclusion: The presence of and/or SNPs might be related to a genetic predisposition to metabolic syndrome.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307632PMC
http://dx.doi.org/10.18295/squmj.2018.18.03.005DOI Listing

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