Literature DB >> 21915815

Lifestyle and genetics in obesity and type 2 diabetes.

T Temelkova-Kurktschiev1, T Stefanov.   

Abstract

Obesity and type 2 diabetes mellitus are multifactorial health threats caused by a complex interplay between genetic predisposition and the environment with dramatically increasing worldwide prevalence. The role of heritability in their etiology is well recognized, however, the numerous attempts made in order certain genetic variants determining individual susceptibility to be identified have had limited success, until recently. At present the advancements in human genetics and the utilization of the genome-wide association approach have led to the identification of over 20 genetic loci associated with, respectively obesity and type 2 diabetes. Most of the genes identified to date, however, have modest effect on disease risk suggesting that both diseases are unlikely to develop without the individual being exposed to obesity- and/or type 2 diabetes-promoting environment. Indeed, unhealthy lifestyle, characterized by physical inactivity and food overconsumption is an unequivocally established risk factor for obesity and type 2 diabetes. Numerous epidemiological studies and randomized controlled trials, on the other hand, have demonstrated that lifestyle modification is effective in obesity and type 2 diabetes prevention. Furthermore, gene-lifestyle interaction studies suggest that genetic susceptibility to obesity and type 2 diabetes may be partially or totally kept under control by healthy lifestyle or lifestyle modification and that lifestyle determines whether an individual is likely to develop the disease. Inherited factors, however, seem to influence individual response to a lifestyle intervention program and even the motivation for lifestyle change. Personalized interventions according to genotype may be, therefore, considered in the future. By then lifestyle modification targeting dietary change and increased physical activity may be recommended for successful obesity and type 2 diabetes prevention irrespectively of genetic susceptibility. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2011        PMID: 21915815     DOI: 10.1055/s-0031-1285832

Source DB:  PubMed          Journal:  Exp Clin Endocrinol Diabetes        ISSN: 0947-7349            Impact factor:   2.949


  37 in total

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Authors:  Jian-Fang Li; Dan-Dan Lai; Bin Ni; Kuan-Xue Sun
Journal:  Can J Surg       Date:  2013-12       Impact factor: 2.089

3.  Association of common genetic variants with diabetes and metabolic syndrome related traits in the Arizona Insulin Resistance registry: a focus on Mexican American families in the Southwest.

Authors:  Jacob DeMenna; Sobha Puppala; Geetha Chittoor; Jennifer Schneider; Joon Young Kim; Gabriel Q Shaibi; Lawrence J Mandarino; Ravindranath Duggirala; Dawn K Coletta
Journal:  Hum Hered       Date:  2014-07-08       Impact factor: 0.444

4.  English language proficiency and physical activity among Mexican-origin women in South Texas and South Carolina.

Authors:  Jennifer J Salinas; DeAnne K Hilfinger Messias; Daisy Morales-Campos; Deborah Parra-Medina
Journal:  J Health Care Poor Underserved       Date:  2014-02

5.  Gender differences in the association of ELMO1 genetic variants with type 2 diabetes in Tunisian Arabs.

Authors:  A Turki; S Mzoughi; N Mtitaoui; M Khairallah; H Marmouch; S Hammami; T Mahjoub; W Y Almawi
Journal:  J Endocrinol Invest       Date:  2017-07-27       Impact factor: 4.256

6.  Evolutionarily derived networks to inform disease pathways.

Authors:  Britney E Graham; Christian Darabos; Minjun Huang; Louis J Muglia; Jason H Moore; Scott M Williams
Journal:  Genet Epidemiol       Date:  2017-09-25       Impact factor: 2.135

Review 7.  The genomic landscape of African populations in health and disease.

Authors:  Charles N Rotimi; Amy R Bentley; Ayo P Doumatey; Guanjie Chen; Daniel Shriner; Adebowale Adeyemo
Journal:  Hum Mol Genet       Date:  2017-10-01       Impact factor: 6.150

Review 8.  System biology approach intersecting diet and cell metabolism with pathogenesis of brain disorders.

Authors:  Fernando Gomez-Pinilla; Xia Yang
Journal:  Prog Neurobiol       Date:  2018-07-27       Impact factor: 11.685

9.  Red blood cell β-adrenergic receptors contribute to diet-induced energy expenditure by increasing O2 supply.

Authors:  Eun Ran Kim; Shengjie Fan; Dmitry Akhmedov; Kaiqi Sun; Hoyong Lim; William O'Brien; Yuanzhong Xu; Leandra R Mangieri; Yaming Zhu; Cheng-Chi Lee; Yeonseok Chung; Yang Xia; Yong Xu; Feng Li; Kai Sun; Rebecca Berdeaux; Qingchun Tong
Journal:  JCI Insight       Date:  2017-07-20

10.  Significant genotype by diet (G × D) interaction effects on cardiometabolic responses to a pedigree-wide, dietary challenge in vervet monkeys (Chlorocebus aethiops sabaeus).

Authors:  Venkata S Voruganti; Matthew J Jorgensen; Jay R Kaplan; Kylie Kavanagh; Larry L Rudel; Ryan Temel; Lynn A Fairbanks; Anthony G Comuzzie
Journal:  Am J Primatol       Date:  2013-01-11       Impact factor: 2.371

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