Literature DB >> 18645733

Interaction between PPARG Pro12Ala and ADIPOQ G276T concerning cholesterol levels in childhood obesity.

Lovisa E Johansson1, Pernilla Danielsson, Svante Norgren, Claude Marcus, Martin Ridderstråle.   

Abstract

AIM: The aim of this study was to investigate the role of two candidate gene polymorphisms for insulin resistance and lipid levels in obese children and adolescents.
METHODS: Two markers of insulin resistance and lipid levels, Pro12Ala in peroxisome proliferator-activated receptor-gamma2 (PPARG) and G276T in adiponectin (ADIPOQ), were genotyped in 285 obese children and adolescents. As the apolipoprotein E (APOE) polymorphisms C112R and R158C are known to have a profound impact on lipid levels in both children and adults, results were adjusted for APOE genotype.
RESULTS: We found no association for PPARG or ADIPOQ polymorphisms with Body Mass Index (BMI), High Density Lipoprotein (HDL)-cholesterol, triglycerides or Insulin Resistance estimated by Homeostasis Model of Assessment (HOMA-IR). Wild type carriers of PPARG Pro12Ala (p<0.05), homozygous carriers of the variant allele of ADIPOQ G276T (p<0.001) and epsilon4 carriers of APOE (p<0.001) had higher total and low density lipoprotein (LDL)-cholesterol levels adjusted for age, gender, BMI and insulin sensitivity. A PPARG/ADIPOQ risk genotype combination was identified by analysis of covariance (ANCOVA) comparing all existing combinations. Carriers of PPARG Pro/Pro and ADIPOQ 276 T/T had higher total (5.0 [4.1-5.8] vs. 4.1 [3.6-4.6] mmol/l) and LDL-cholesterol levels (3.7 [2.9-4.5] vs. 3.0 [2.5-3.5] mmol/l) compared with carriers of other combinations (p<0.001). Importantly, the PPARG and ADIPOQ associations were unaffected when adjusting for APOE genotype.
CONCLUSIONS: Genetic variants in candidate genes for insulin resistance are associated with cholesterol levels in obese children and adolescents, and may offer additional information in the risk assessment of obese children.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 18645733     DOI: 10.1080/17477160802263194

Source DB:  PubMed          Journal:  Int J Pediatr Obes        ISSN: 1747-7166


  9 in total

1.  Influence of the interaction between the adiponectin G276T polymorphism and body mass index on lipid levels in healthy children.

Authors:  Pía Riestra; Alicia García-Anguita; Miguel A Lasunción; Alipio Mangas; Manuel de Oya; Carmen Garcés
Journal:  Mol Biol Rep       Date:  2011-09-22       Impact factor: 2.316

2.  Association study of candidate gene polymorphisms and obesity in a young Mexican-American population from South Texas.

Authors:  Jorge Duran-Gonzalez; Ixiu Ortiz; Enrique Gonzales; Nicole Ruiz; Manti Ortiz; Arthur Gonzalez; Edna K Sanchez; Eugenia Curet; Susan Fisher-Hoch; Anne Rentfro; Huiqi Qu; Saraswathy Nair
Journal:  Arch Med Res       Date:  2011-11-01       Impact factor: 2.235

3.  Gender, body mass index, and PPARγ polymorphism are good indicators in hyperuricemia prediction for Han Chinese.

Authors:  Ming-Fen Lee; Tsan-Hon Liou; Weu Wang; Wen-Harn Pan; Wei-Jei Lee; Chung-Tan Hsu; Suh-Fen Wu; Hsin-Hung Chen
Journal:  Genet Test Mol Biomarkers       Date:  2013-01

4.  PPARG-LYPLAL1 Multi-Allelic Combination Associated with Obesity and Overweight in Mexican Adolescent Females.

Authors:  Esther Alhelí Hernández-Tobías; Luisa Torres-Sánchez; Gino Noris; Carla Santana; María Reyna Samano; José Arellano-Galindo; María de la Luz Arenas-Sordo; Daniel Brooks; Ana Lilia Rodríguez-Ventura; Marco Antonio Meraz-Ríos; Rocío Gómez
Journal:  Ethn Dis       Date:  2016-10-20       Impact factor: 1.847

5.  The apolipoprotein E gene and Taq1A polymorphisms in childhood obesity.

Authors:  Mehmet Ali Ergun; Meral Yirmibes Karaoguz; Altug Koc; Orhun Camurdan; Aysun Bideci; A Canan Yazici; Peyami Cinaz
Journal:  Genet Test Mol Biomarkers       Date:  2010-06

6.  Associations between two single nucleotide polymorphisms of the adiponectin gene, its circulating concentrations and cardiometabolic risk factors in prepubertal children with and without abdominal obesity.

Authors:  S V Galcheva; D Martorana; V M Iotova; Y Yotov; T M Neri; M E Street
Journal:  J Endocrinol Invest       Date:  2013-05-22       Impact factor: 4.256

7.  Genetic influences on blood lipids and cardiovascular disease risk: tools for primary prevention.

Authors:  José M Ordovas
Journal:  Am J Clin Nutr       Date:  2009-04-01       Impact factor: 7.045

8.  Association of the variants in the PPARG gene and serum lipid levels: a meta-analysis of 74 studies.

Authors:  Qing Li; Rong Chen; Lizhan Bie; Dandan Zhao; Chunkai Huang; Jiang Hong
Journal:  J Cell Mol Med       Date:  2014-09-30       Impact factor: 5.310

9.  Mixed modeling of meta-analysis P-values (MixMAP) suggests multiple novel gene loci for low density lipoprotein cholesterol.

Authors:  Andrea S Foulkes; Gregory J Matthews; Ujjwal Das; Jane F Ferguson; Rongheng Lin; Muredach P Reilly
Journal:  PLoS One       Date:  2013-02-06       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.