» Articles » PMID: 22140488

The Association of PNPLA3 Variants with Liver Enzymes in Childhood Obesity is Driven by the Interaction with Abdominal Fat

Overview
Journal PLoS One
Date 2011 Dec 6
PMID 22140488
Citations 40
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Aims: A polymorphism in adiponutrin/patatin-like phospholipase-3 gene (PNPLA3), rs738409 C->G, encoding for the I148M variant, is the strongest genetic determinant of liver fat and ALT levels in adulthood and childhood obesity. Aims of this study were i) to analyse in a large group of obese children the role of the interaction of not-genetic factors such as BMI, waist circumference (W/Hr) and insulin resistance (HOMA-IR) in exposing the association between the I148M polymorphism and ALT levels and ii) to stratify the individual risk of these children to have liver injury on the basis of this gene-environment interaction.

Methods: 1048 Italian obese children were investigated. Anthropometric, clinical and metabolic data were collected and the PNPLA3 I148M variant genotyped.

Results: Children carrying the 148M allele showed higher ALT and AST levels (p = 0.000006 and p = 0.0002, respectively). Relationships between BMI-SDS, HOMA-IR and W/Hr with ALT were analysed in function of the different PNPLA3 genotypes. Children 148M homozygous showed a stronger correlation between ALT and W/Hr than those carrying the other genotypes (p: 0.0045) and, therefore, 148M homozygotes with high extent of abdominal fat (W/Hr above 0.62) had the highest OR (4.9, 95% C. I. 3.2-7.8, p = 0.00001) to develop pathologic ALT.

Conclusions: We have i) showed for the first time that the magnitude of the association of PNPLA3 with liver enzymes is driven by the size of abdominal fat and ii) stratified the individual risk to develop liver damage on the basis of the interaction between the PNPLA3 genotype and abdominal fat.

Citing Articles

PNPLA3 I148M Interacts With Environmental Triggers to Cause Human Disease.

Speliotes E, Schneider C Liver Int. 2024; 45(3):e16106.

PMID: 39559944 PMC: 11815600. DOI: 10.1111/liv.16106.


Overweight/Obesity Increases the Risk of Overt Hepatic Encephalopathy after Transjugular Intrahepatic Portosystemic Shunt in Cirrhotic Patients.

Gu L, Yin X, Cheng Y, Wang X, Zhang M, Zou X J Pers Med. 2023; 13(4).

PMID: 37109068 PMC: 10141800. DOI: 10.3390/jpm13040682.


Genetic variation and elevated liver enzymes during childhood, adolescence and early adulthood.

Stender S, Davey Smith G, Richardson T Int J Epidemiol. 2023; 52(5):1341-1349.

PMID: 37105232 PMC: 10555681. DOI: 10.1093/ije/dyad048.


A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.

Zhou Z, Ku H, Manning S, Zhang M, Xing C Behav Genet. 2023; 53(4):374-382.

PMID: 36622576 PMC: 10277225. DOI: 10.1007/s10519-022-10131-w.


The genetic interactions between non-alcoholic fatty liver disease and cardiovascular diseases.

Chew N, Chong B, Ng C, Kong G, Chin Y, Xiao W Front Genet. 2022; 13:971484.

PMID: 36035124 PMC: 9399730. DOI: 10.3389/fgene.2022.971484.


References
1.
Hsieh S, Yoshinaga H, Muto T . Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord. 2003; 27(5):610-6. DOI: 10.1038/sj.ijo.0802259. View

2.
Pare G, Cook N, Ridker P, Chasman D . On the use of variance per genotype as a tool to identify quantitative trait interaction effects: a report from the Women's Genome Health Study. PLoS Genet. 2010; 6(6):e1000981. PMC: 2887471. DOI: 10.1371/journal.pgen.1000981. View

3.
Day C . From fat to inflammation. Gastroenterology. 2006; 130(1):207-10. DOI: 10.1053/j.gastro.2005.11.017. View

4.
Manco M, Bedogni G, Marcellini M, Devito R, Ciampalini P, Sartorelli M . Waist circumference correlates with liver fibrosis in children with non-alcoholic steatohepatitis. Gut. 2008; 57(9):1283-7. DOI: 10.1136/gut.2007.142919. View

5.
Abate N, Garg A, Peshock R, Stray-Gundersen J, Grundy S . Relationships of generalized and regional adiposity to insulin sensitivity in men. J Clin Invest. 1995; 96(1):88-98. PMC: 185176. DOI: 10.1172/JCI118083. View