Literature DB >> 16631432

The effects of uncoupling protein 3 haplotypes on obesity phenotypes and very low-energy diet-induced changes among overweight Korean female subjects.

Min Ho Cha1, Hyoung Doo Shin, Kil Soo Kim, Bong Hee Lee, Yoosik Yoon.   

Abstract

Responses to energy restriction tend to vary within the population because of genetic differences. In this study, we have genotyped 6 uncoupling protein 3 (UCP-3) polymorphisms (-55C/T, Int2-143G/C, Tyr99Tyr, Int3-47G/A, Int4-498C/T, and Tyr210Tyr) among 214 overweight Korean female subjects recruited from an obesity clinic. Three major haplotypes, identified with frequencies in excess of 0.04, were constructed from 6 single nucleotide polymorphisms. Association studies were then undertaken, involving the measurement of anthropometric characteristics and body composition both before and after 1 month of a energy-restriction regimen. At baseline, haplotype 1 (ht1) [CGTACC] was associated with elevated anthropometric characteristics, including body weight, waist-hip ratio, and body mass index, as well as body components, including body fat mass and body fat-free mass. After the completion of the 1-month weight control program, which involved a very low-energy (2900 kJ/d) diet, we analyzed the outcomes according to the UCP-3 genetic polymorphisms. Among the 3 principal haplotypes, ht1 [CGTACC] was significantly associated with an increased reduction in body weight, in the codominant (P=.022), dominant (P=.016), and recessive (P=.041) models. Body mass index reduction was associated with the ht1 haplotype in a similar fashion. Among the body components, changes in body fat mass were significantly associated with ht1 [CGTACC] (P=.028), but changes in body fat-free mass were not significantly associated with the UCP-3 polymorphism.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16631432     DOI: 10.1016/j.metabol.2005.11.012

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  10 in total

1.  Using bench press load to predict upper body exercise loads in physically active individuals.

Authors:  Del P Wong; Kwan-Lung Ngo; Michael A Tse; Andrew W Smith
Journal:  J Sports Sci Med       Date:  2013-03-01       Impact factor: 2.988

2.  Colloquium paper: bioenergetics, the origins of complexity, and the ascent of man.

Authors:  Douglas C Wallace
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-05       Impact factor: 11.205

Review 3.  Mitochondrial-nuclear epistasis: implications for human aging and longevity.

Authors:  Gregory J Tranah
Journal:  Ageing Res Rev       Date:  2010-06-25       Impact factor: 10.895

4.  Implications of gene-behavior interactions: prevention and intervention for obesity.

Authors:  Molly S Bray
Journal:  Obesity (Silver Spring)       Date:  2008-12       Impact factor: 5.002

Review 5.  Endocrine disrupters as obesogens.

Authors:  Felix Grün; Bruce Blumberg
Journal:  Mol Cell Endocrinol       Date:  2009-03-09       Impact factor: 4.102

Review 6.  Complexity of type 2 diabetes mellitus data sets emerging from nutrigenomic research: a case for dimensionality reduction?

Authors:  Jim Kaput; Kevin Dawson
Journal:  Mutat Res       Date:  2007-05-05       Impact factor: 2.433

Review 7.  Gene-environment interaction and obesity.

Authors:  Lu Qi; Young Ae Cho
Journal:  Nutr Rev       Date:  2008-12       Impact factor: 7.110

8.  Stroke in Traditional Korean Medicine: A Nine-Year Multicentre Community-Based Study in South Korea.

Authors:  Mi Mi Ko; Ju Ah Lee; Min Ho Cha; Byoung-Kab Kang; Myeong Soo Lee
Journal:  Sci Rep       Date:  2016-06-22       Impact factor: 4.379

9.  Variation in the UCP2 and UCP3 genes associates with abdominal obesity and serum lipids: the Finnish Diabetes Prevention Study.

Authors:  Titta Salopuro; Leena Pulkkinen; Jaana Lindström; Marjukka Kolehmainen; Anna-Maija Tolppanen; Johan G Eriksson; Timo T Valle; Sirkka Aunola; Pirjo Ilanne-Parikka; Sirkka Keinänen-Kiukaanniemi; Jaakko Tuomilehto; Markku Laakso; Matti Uusitupa
Journal:  BMC Med Genet       Date:  2009-09-21       Impact factor: 2.103

10.  Meta-analysis reveals the association of common variants in the uncoupling protein (UCP) 1-3 genes with body mass index variability.

Authors:  Letícia A Brondani; Tais S Assmann; Bianca M de Souza; Ana P Bouças; Luis H Canani; Daisy Crispim
Journal:  PLoS One       Date:  2014-05-07       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.