Literature DB >> 19466204

Genetic variants influencing effectiveness of weight loss strategies.

Sophie Deram1, Sandra M F Villares.   

Abstract

Body weight excess has an increasingly high prevalence in the world. Obesity is a complex disease of multifactorial origin with a polygenic condition affected by environmental factors. Weight loss is a primary strategy to treat obesity and its morbidities. Weight changes through life depend on the interaction of environmental, behavioral and genetic factors. Interindividual variation of weight loss in response to different types of interventions (behavioral, caloric restriction, exercise, drug or surgery) has been observed. In this article, currently available data on the role of candidate gene polymorphisms in weight loss are reviewed. Even though control of weight loss by genotype was described in twin and family studies, it is premature to recommend use of genotyping in the design of therapeutic diets or drug treatment. Future studies will have to be large in order to assess the effects of multiple polymorphisms, and will have to control factors other than diet.

Entities:  

Mesh:

Year:  2009        PMID: 19466204     DOI: 10.1590/s0004-27302009000200003

Source DB:  PubMed          Journal:  Arq Bras Endocrinol Metabol        ISSN: 0004-2730


  13 in total

Review 1.  Genome-based nutrition: an intervention strategy for the prevention and treatment of obesity and nonalcoholic steatohepatitis.

Authors:  Sonia Roman; Claudia Ojeda-Granados; Omar Ramos-Lopez; Arturo Panduro
Journal:  World J Gastroenterol       Date:  2015-03-28       Impact factor: 5.742

2.  Baseline characteristics associated with different BMI trajectories in weight loss trials: a case for better targeting of interventions.

Authors:  M Batterham; L C Tapsell; K E Charlton
Journal:  Eur J Clin Nutr       Date:  2015-04-01       Impact factor: 4.016

3.  The Influence of FTO, FABP2, LEP, LEPR, and MC4R Genes on Obesity Parameters in Physically Active Caucasian Men.

Authors:  Ewelina Maculewicz; Agata Leońska-Duniec; Andrzej Mastalerz; Ewa Szarska; Aleksandra Garbacz; Tomasz Lepionka; Roman Łakomy; Anna Anyżewska; Jerzy Bertrandt
Journal:  Int J Environ Res Public Health       Date:  2022-05-16       Impact factor: 4.614

4.  UCP2 I/D modulated change in BMI during a lifestyle modification intervention study in Japanese subjects.

Authors:  P B Mutombo; Masayuki Yamasaki; Kuninori Shiwaku
Journal:  Genet Test Mol Biomarkers       Date:  2012-10-26

5.  UCP2 and PLIN1 Expression Affects the Resting Metabolic Rate and Weight Loss on Obese Patients.

Authors:  Bruno Affonso Parenti de Oliveira; Marcela Augusta de Souza Pinhel; Carolina Ferreira Nicoletti; Cristiana Cortes de Oliveira; Driele Cristina Gomes Quinhoneiro; Natália Yumi Noronha; Priscila Giácomo Fassini; Wilson Araújo da Silva Júnior; Wilson Salgado Junior; Carla Barbosa Nonino
Journal:  Obes Surg       Date:  2017-02       Impact factor: 4.129

6.  Estimating the range of obesity treatment response variability in humans: methods and illustrations.

Authors:  Kathryn A Kaiser; Gary L Gadbury
Journal:  Hum Hered       Date:  2013-09-27       Impact factor: 0.444

Review 7.  The locomotor system as seen in Brazilian scientific journals: a mini review.

Authors:  Mauricio Rocha E Silva
Journal:  Clinics (Sao Paulo)       Date:  2010       Impact factor: 2.365

Review 8.  Obesity: interactions of genome and nutrients intake.

Authors:  Miae Doo; Yangha Kim
Journal:  Prev Nutr Food Sci       Date:  2015-03-31

Review 9.  The role of genes involved in lipolysis on weight loss program in overweight and obese individuals.

Authors:  Harry Freitag Luglio; Dian Caturini Sulistyoningrum; Rina Susilowati
Journal:  J Clin Biochem Nutr       Date:  2015-08-19       Impact factor: 3.114

10.  Effects of lifestyle intervention on weight and metabolic parameters in patients with impaired glucose tolerance related to beta-3 adrenergic receptor gene polymorphism Trp64Arg(C/T): Results from the Japan Diabetes Prevention Program.

Authors:  Naoki Sakane; Juichi Sato; Kazuyo Tsushita; Satoru Tsujii; Kazuhiko Kotani; Makoto Tominaga; Shoji Kawazu; Yuzo Sato; Takeshi Usui; Isao Kamae; Toshihide Yoshida; Yutaka Kiyohara; Shigeaki Sato; Kokoro Tsuzaki; Kaoru Takahashi; Hideshi Kuzuya
Journal:  J Diabetes Investig       Date:  2015-10-29       Impact factor: 4.232

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