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. 2020 Nov 19:13:4483-4494.
doi: 10.2147/DMSO.S277268. eCollection 2020.

CHDH-PNPLA3 Gene-Gene Interactions Predict Insulin Resistance in Children with Obesity

Affiliations

CHDH-PNPLA3 Gene-Gene Interactions Predict Insulin Resistance in Children with Obesity

Adela Chirita-Emandi et al. Diabetes Metab Syndr Obes. .

Abstract

Introduction: Insulin resistance plays a major role in metabolic syndrome and is recognized as the most common risk factor for non-alcoholic fatty liver disease (NAFLD). Identifying predictors for insulin resistance could optimize screening and prevention.

Purpose: To evaluate the contribution of multiple single nucleotide polymorphisms across genes related to NAFLD and choline metabolism, in predicting insulin resistance in children with obesity.

Methods: One hundred fifty-three children with obesity (73 girls), aged 7-18 years, were evaluated within the NutriGen Study (ClinicalTrials.gov-NCT02837367). Insulin resistance was defined by Homeostatic Model Assessment for insulin-resistance cut-offs that accommodated pubertal and gender differences. Anthropometric, metabolic, intake-related variables, and 55 single nucleotide polymorphisms related to NAFLD and choline metabolism were evaluated. Gene-gene interaction effects were assessed using Multiple Data Reduction Software.

Results: Sixty percent (93/153) of participants showed insulin resistance (58.7% of boys, 63% of girls). Children with insulin resistance presented significantly higher values for standardized body mass index, triglycerides, transaminases and plasma choline when compared to those without insulin resistance. Out of 52 single nucleotide polymorphisms analysed, the interaction between genotypes CHDH(rs12676) and PNPLA3(rs738409) predicted insulin resistance. The model presented a 6/10 cross-validation consistency and 0.58 testing accuracy. Plasma choline levels and alanine aminotransferase modulated the gene interaction effect, significantly improving the model.

Conclusion: The interaction between genotypes in CHDH and PNPLA3 genes, modulated by choline and alanine aminotransferase levels, predicted insulin-resistance status in children with obesity. If replicated in larger cohorts, these findings could help identify metabolic risk in children with obesity.

Keywords: CHDH-PNPLA3; children; choline; gene–gene interaction; insulin-resistance; obesity.

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Conflict of interest statement

Mihai Dinu Niculescu is the founder and CEO of Advanced Nutrigenomics LLC. The authors declare no other potential conflicts of interest.

Figures

Figure 1
Figure 1
Distribution of HOMA-IR values depicted as boxplot separately for boys and girls, by age (rounded). Notes: Horizontal lines, within each boxplot, indicate minimum, first quartile (Q1), median, third quartile (Q3), and maximum. Outliers marked with circles are cases with values between 1.5 and 3 times the IQ range, beyond the whiskers. Outliers marked with a star are cases with values more than 3 times the IQ range.

References

    1. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet. 2017. doi:10.1016/S0140-6736(17)32129-3 - DOI - PMC - PubMed
    1. NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet. 2016;387:1377–1396. doi:10.1016/S0140-6736(16)30054-X - DOI - PMC - PubMed
    1. Styne DM, Arslanian SA, Connor EL, et al. Pediatric obesity-assessment, treatment, and prevention: an endocrine society clinical practice guideline. J Clin Endocrinol Metab. 2017;102:709–757. doi:10.1210/jc.2016-2573 - DOI - PMC - PubMed
    1. Lentferink YE, Elst MAJ, Knibbe CAJ, van der Vorst MMJ. Predictors of insulin resistance in children versus adolescents with obesity. J Obes. 2017;2017:3793868. doi:10.1155/2017/3793868 - DOI - PMC - PubMed
    1. Lomonaco R, Ortiz-Lopez C, Orsak B, et al. Effect of adipose tissue insulin resistance on metabolic parameters and liver histology in obese patients with nonalcoholic fatty liver disease. Hepatology. 2012;55:1389–1397. doi:10.1002/hep.25539 - DOI - PubMed

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