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Genetic and metabolic predictors of hepatic fat content in a cohort of Italian children with obesity

OBJECTIVES: To comprehensively explore metabolic and genetic contributors to liver fat accumulation in overweight/obese children. METHODS: Two hundred thirty Italian children with obesity were investigated for metabolic parameters and genotyped for PNPLA3, TM6SF2, GCKR, and MBOAT7 gene variants. Per...

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Autores principales: Di Costanzo, Alessia, Pacifico, Lucia, Chiesa, Claudio, Perla, Francesco Massimo, Ceci, Fabrizio, Angeloni, Antonio, D’Erasmo, Laura, Di Martino, Michele, Arca, Marcello
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760560/
https://www.ncbi.nlm.nih.gov/pubmed/30710115
http://dx.doi.org/10.1038/s41390-019-0303-1
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author Di Costanzo, Alessia
Pacifico, Lucia
Chiesa, Claudio
Perla, Francesco Massimo
Ceci, Fabrizio
Angeloni, Antonio
D’Erasmo, Laura
Di Martino, Michele
Arca, Marcello
author_facet Di Costanzo, Alessia
Pacifico, Lucia
Chiesa, Claudio
Perla, Francesco Massimo
Ceci, Fabrizio
Angeloni, Antonio
D’Erasmo, Laura
Di Martino, Michele
Arca, Marcello
author_sort Di Costanzo, Alessia
collection PubMed
description OBJECTIVES: To comprehensively explore metabolic and genetic contributors to liver fat accumulation in overweight/obese children. METHODS: Two hundred thirty Italian children with obesity were investigated for metabolic parameters and genotyped for PNPLA3, TM6SF2, GCKR, and MBOAT7 gene variants. Percentage hepatic fat content (HFF%) was measured by nuclear magnetic resonance. RESULTS: HFF% was positively related with BMI, HOMA(IR), metabolic syndrome, ALT, AST, γGT, and albumin. Carriers of [G] allele in PNPLA3, [T] allele in GCKR and [T] allele in TM6SF2 genes had significantly higher hepatic fat content than wild-type carriers. HFF% was explained for 8.7% by metabolic and for 16.1% by genetic factors and, a model including age, gender, BMI, HOMA(IR), PNPLA3, GCKR, and TM6SF2 variants was the best predictor of HFF%, explaining 24.8% of its variation (P < 0.001). A weighted-genetic risk score combining PNPLA3, GCKR, and TM6SF2 risk alleles was associated with almost eightfold higher risk of NAFLD. CONCLUSIONS: Our data highlighted the predominant role of genetic factors in determining the amount of liver fat content in children with obesity.
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spelling pubmed-67605602019-09-26 Genetic and metabolic predictors of hepatic fat content in a cohort of Italian children with obesity Di Costanzo, Alessia Pacifico, Lucia Chiesa, Claudio Perla, Francesco Massimo Ceci, Fabrizio Angeloni, Antonio D’Erasmo, Laura Di Martino, Michele Arca, Marcello Pediatr Res Clinical Research Article OBJECTIVES: To comprehensively explore metabolic and genetic contributors to liver fat accumulation in overweight/obese children. METHODS: Two hundred thirty Italian children with obesity were investigated for metabolic parameters and genotyped for PNPLA3, TM6SF2, GCKR, and MBOAT7 gene variants. Percentage hepatic fat content (HFF%) was measured by nuclear magnetic resonance. RESULTS: HFF% was positively related with BMI, HOMA(IR), metabolic syndrome, ALT, AST, γGT, and albumin. Carriers of [G] allele in PNPLA3, [T] allele in GCKR and [T] allele in TM6SF2 genes had significantly higher hepatic fat content than wild-type carriers. HFF% was explained for 8.7% by metabolic and for 16.1% by genetic factors and, a model including age, gender, BMI, HOMA(IR), PNPLA3, GCKR, and TM6SF2 variants was the best predictor of HFF%, explaining 24.8% of its variation (P < 0.001). A weighted-genetic risk score combining PNPLA3, GCKR, and TM6SF2 risk alleles was associated with almost eightfold higher risk of NAFLD. CONCLUSIONS: Our data highlighted the predominant role of genetic factors in determining the amount of liver fat content in children with obesity. Nature Publishing Group US 2019-01-23 2019 /pmc/articles/PMC6760560/ /pubmed/30710115 http://dx.doi.org/10.1038/s41390-019-0303-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Clinical Research Article
Di Costanzo, Alessia
Pacifico, Lucia
Chiesa, Claudio
Perla, Francesco Massimo
Ceci, Fabrizio
Angeloni, Antonio
D’Erasmo, Laura
Di Martino, Michele
Arca, Marcello
Genetic and metabolic predictors of hepatic fat content in a cohort of Italian children with obesity
title Genetic and metabolic predictors of hepatic fat content in a cohort of Italian children with obesity
title_full Genetic and metabolic predictors of hepatic fat content in a cohort of Italian children with obesity
title_fullStr Genetic and metabolic predictors of hepatic fat content in a cohort of Italian children with obesity
title_full_unstemmed Genetic and metabolic predictors of hepatic fat content in a cohort of Italian children with obesity
title_short Genetic and metabolic predictors of hepatic fat content in a cohort of Italian children with obesity
title_sort genetic and metabolic predictors of hepatic fat content in a cohort of italian children with obesity
topic Clinical Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760560/
https://www.ncbi.nlm.nih.gov/pubmed/30710115
http://dx.doi.org/10.1038/s41390-019-0303-1
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