Literature DB >> 23739626

Epigenetic regulation in obesity.

Elaine M Drummond1, Eileen R Gibney.   

Abstract

PURPOSE OF REVIEW: Research suggests that 65% of variation in obesity is genetic. However, much of the known genetic associations have little known function and their effect size small, thus the gene-environment interaction, including epigenetic influences on gene expression, is suggested to be an important factor in the susceptibilty to obesity. This review will explore the potential of epigenetic markers to influence expression of genes associated with obesity. RECENT
FINDINGS: Epigenetic changes in utero are known to have direct implications on the phenotype of the offspring. More recently work has focused on how such epigenetic changes continue to regulate risk of obesity from infancy through to adulthood. Work has shown that, for example, hypomethylation of the MC4 gene causes an increase in expression, and has a direct impact on appetite and intake, and thus influences risk of obesity. Similar influences are also seen in other aspects of obesity including inflammation and adiposity.
SUMMARY: Maternal diet during foetal development has many epigenetic implications, which affect the offspring's risk factors for obesity during childhood and adulthood, and even in subsequent generations. Genes associated with risk of obesity, are susceptible to epigenetic mutations, which have subsequent effects on disease mechanisms, such as appetite and impaired glucose and insulin tolerance.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23739626     DOI: 10.1097/MCO.0b013e3283620f45

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN: 1363-1950            Impact factor:   4.294


  22 in total

Review 1.  Maternal obesity: focus on offspring cardiometabolic outcomes.

Authors:  Alessandra Gambineri; Alessandro Conforti; Andrea Di Nisio; Daniela Laudisio; Giovanna Muscogiuri; Luigi Barrea; Silvia Savastano; Annamaria Colao
Journal:  Int J Obes Suppl       Date:  2020-07-20

2.  Gene methylation parallelisms between peripheral blood cells and oral mucosa samples in relation to overweight.

Authors:  Rodrigo San-Cristobal; Santiago Navas-Carretero; Fermín I Milagro; J Ignacio Riezu-Boj; Elizabeth Guruceaga; Carlos Celis-Morales; Katherine M Livingstone; Lorraine Brennan; Julie A Lovegrove; Hannelore Daniel; Wim H Saris; Iwonna Traczyk; Yannis Manios; Eileen R Gibney; Michael J Gibney; John C Mathers; J Alfredo Martinez
Journal:  J Physiol Biochem       Date:  2017-03-28       Impact factor: 4.158

3.  Is Obesity A Disease or A Behavior Abnormality? Did the AMA Get It Right?

Authors:  Howard Rosen
Journal:  Mo Med       Date:  2014 Mar-Apr

4.  Obesity and diabetes: from genetics to epigenetics.

Authors:  Ernesto Burgio; Angela Lopomo; Lucia Migliore
Journal:  Mol Biol Rep       Date:  2015-04       Impact factor: 2.316

5.  Methylation Status of CYP27B1 and IGF2 Correlate to BMI SDS in Children with Obesity.

Authors:  Orsolya Ács; Bálint Péterfia; Péter Hollósi; Andrea Luczay; Dóra Török; András Szabó
Journal:  Obes Facts       Date:  2017-08-09       Impact factor: 3.942

6.  SIRT1 gene variants are related to risk of childhood obesity.

Authors:  Ulkan Kilic; Ozlem Gok; Birsen Elibol-Can; Ilker Tolga Ozgen; Ufuk Erenberk; Omer Uysal; Mehmet Rusen Dundaroz
Journal:  Eur J Pediatr       Date:  2014-09-20       Impact factor: 3.183

Review 7.  A view of obesity as a learning and memory disorder.

Authors:  Terry L Davidson; Andrea L Tracy; Lindsey A Schier; Susan E Swithers
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2014-07       Impact factor: 2.478

8.  RANK/RANKL/OPG pathway is an important for the epigenetic regulation of obesity.

Authors:  Rasime Kalkan; Eda Becer
Journal:  Mol Biol Rep       Date:  2019-07-30       Impact factor: 2.316

9.  Infants born large-for-gestational-age display slower growth in early infancy, but no epigenetic changes at birth.

Authors:  Valentina Chiavaroli; Wayne S Cutfield; José G B Derraik; Zengxiang Pan; Sherry Ngo; Allan Sheppard; Susan Craigie; Peter Stone; Lynn Sadler; Fredrik Ahlsson
Journal:  Sci Rep       Date:  2015-09-30       Impact factor: 4.379

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.