Literature DB >> 11327119

Clustering of metabolic abnormalities in obese individuals: the role of genetic factors.

O Ukkola1, C Bouchard.   

Abstract

The objective of this paper is to review the current evidence in support of genetic factors underlying the clustering of components of the metabolic syndrome in obese individuals. It has become clear that individual features of the metabolic syndrome are partially determined by familial factors some of which are unique to a given component and others that are shared among several features. A few candidate genes, encoding proteins of glucose, insulin and lipid metabolism, lipolytic cascade, fatty acid intestinal absorption, glucocorticoid metabolism, haemostasis and blood pressure, have been associated with a clustering of metabolic abnormalities, although the functional significance of these associations remains to be established. Furthermore, genetic polymorphisms, such as those detected at several lipoprotein metabolism loci, can modulate the relationships between different components of the metabolic syndrome. An overfeeding study conducted on identical twins has demonstrated that genetic factors play an important role in the responsiveness to changing energy balance conditions. Leptin receptor, beta2 adrenergic receptor and glucocorticoid receptor gene polymorphisms have been associated with an augmented clustering of metabolic abnormalities in response to overfeeding. Gene-gene interaction effects between markers of the alpha2A, beta2 and beta3 adrenergic receptor genes on components of the metabolic syndrome have been described. Genetic factors also seem to modify the responsiveness of metabolic syndrome features to endurance training. A growing understanding of the genetic architecture of the metabolic syndrome may help in the prevention of this condition. The reduction of excess body fat, the most common clinical feature among the cluster of metabolic abnormalities, should be the focus of the prevention and treatment of the metabolic syndrome.

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Mesh:

Year:  2001        PMID: 11327119     DOI: 10.3109/07853890109002062

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  9 in total

Review 1.  Resistance training in the treatment of the metabolic syndrome: a systematic review and meta-analysis of the effect of resistance training on metabolic clustering in patients with abnormal glucose metabolism.

Authors:  Barbara Strasser; Uwe Siebert; Wolfgang Schobersberger
Journal:  Sports Med       Date:  2010-05-01       Impact factor: 11.136

2.  Regular multicomponent exercise increases physical fitness and muscle protein anabolism in frail, obese, older adults.

Authors:  Dennis T Villareal; Gordon I Smith; David R Sinacore; Krupa Shah; Bettina Mittendorfer
Journal:  Obesity (Silver Spring)       Date:  2010-05-20       Impact factor: 5.002

3.  Inactivation of the adrenergic receptor β2 disrupts glucose homeostasis in mice.

Authors:  Gustavo W Fernandes; Cintia B Ueta; Tatiane L Fonseca; Cecilia H A Gouveia; Carmen L Lancellotti; Patrícia C Brum; Marcelo A Christoffolete; Antonio C Bianco; Miriam O Ribeiro
Journal:  J Endocrinol       Date:  2014-06       Impact factor: 4.286

4.  The Role of Obesity in Preeclampsia.

Authors:  James M Roberts; Lisa M Bodnar; Thelma E Patrick; Robert W Powers
Journal:  Pregnancy Hypertens       Date:  2011-01-01       Impact factor: 2.899

Review 5.  Genetics of eating and its relation to obesity.

Authors:  Kathleen L Keller; Angelo Pietrobelli; Shoshanna Must; Myles S Faith
Journal:  Curr Atheroscler Rep       Date:  2002-05       Impact factor: 5.113

Review 6.  Human nutrition and food research: opportunities and challenges in the post-genomic era.

Authors:  Susan J Fairweather-Tait
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-10-29       Impact factor: 6.237

7.  Variations in Adipokine Genes AdipoQ, Lep, and LepR are Associated with Risk for Obesity-Related Metabolic Disease: The Modulatory Role of Gene-Nutrient Interactions.

Authors:  Jennifer Emily Enns; Carla G Taylor; Peter Zahradka
Journal:  J Obes       Date:  2011-04-19

8.  Characterization of clinical and genetic risk factors associated with dyslipidemia after kidney transplantation.

Authors:  Kazuyuki Numakura; Hideaki Kagaya; Ryohei Yamamoto; Naoki Komine; Mitsuru Saito; Tsuruta Hiroshi; Susumu Akihama; Takamitsu Inoue; Shintaro Narita; Norihiko Tsuchiya; Tomonori Habuchi; Takenori Niioka; Masatomo Miura; Shigeru Satoh
Journal:  Dis Markers       Date:  2015-04-06       Impact factor: 3.434

9.  Association of Metabolic Syndrome with Aerobic Exercise and LPL rs3779788 Polymorphism in Taiwan Biobank Individuals.

Authors:  Chun-Sheng Hsu; Shin-Tsu Chang; Oswald Ndi Nfor; Kuan-Jung Lee; Chien-Chang Ho; Chuan-Ching Liu; Shiuan-Shinn Lee; Yung-Po Liaw
Journal:  Diabetes Metab Syndr Obes       Date:  2021-09-14       Impact factor: 3.168

  9 in total

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