Literature DB >> 9278578

Obesity as a pleiotropic effect of gene action.

G L Wolff1.   

Abstract

Obesity, an easily detected and quantifiable phenotypic endpoint, is often considered, colloquially, as a disease. However, the study of obesity in rodents suggests that it is merely a convenient indicator of diverse underlying metabolic and physiologic dysregulations, rather than a disease entity in itself. To illustrate this concept, the differences between the murine Lepob/Lepob and Avy/- "obesity" syndromes are delineated. In both syndromes, pleiotropic effects of single mutations play a major role in altering the homeostatic regulation of energy metabolism and a myriad of extra- and intracellular processes in a diversity of tissues and cell types. The Lepob/Lepob syndrome mimics juvenile-onset obesity, whereas the Avy/- syndrome resembles maturity-onset obesity. The Avy/- syndrome has its basis in overabundance of agouti protein, whereas the Lepob/Lepob syndrome results from a lack of active leptin hormone. Lepob/Lepob mice have a smaller lean body mass, whereas Avy/- mice have a larger lean body mass than their respective lean siblings. Lepob/Lepob mice have fewer lung and mammary tumors than their lean Lep/- littermates, and Avy/- develop more mammary and lung tumors than their lean A/- or a/a siblings. Lepob/Lepob mice are infertile or sterile, whereas Avy/- mice are fertile. Thus, although adult Lepob/Lepob and Avy/- mice are both obese, many of the other morphologic and physiologic attributes of one mutant are diametrically opposite to those of the other.

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Year:  1997        PMID: 9278578     DOI: 10.1093/jn/127.9.1897S

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  2 in total

1.  Astrocyte leptin receptor (ObR) and leptin transport in adult-onset obese mice.

Authors:  Weihong Pan; Hung Hsuchou; Yi He; Amul Sakharkar; Courtney Cain; Chuanhui Yu; Abba J Kastin
Journal:  Endocrinology       Date:  2008-02-21       Impact factor: 4.736

2.  Genetic predictors of weight loss in overweight and obese subjects.

Authors:  Itziar Lamiquiz-Moneo; Rocío Mateo-Gallego; Ana M Bea; Blanca Dehesa-García; Sofía Pérez-Calahorra; Victoria Marco-Benedí; Lucía Baila-Rueda; Martín Laclaustra; Fernando Civeira; Ana Cenarro
Journal:  Sci Rep       Date:  2019-07-24       Impact factor: 4.379

  2 in total

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