|  Help  |  About  |  Contact Us

Publication : Transgenic approach to the study of body weight regulation.

First Author  Inui A Year  2000
Journal  Pharmacol Rev Volume  52
Issue  1 Pages  35-61
PubMed ID  10699154 Mgi Jnum  J:61312
Mgi Id  MGI:1354672 Citation  Inui A (2000) Transgenic approach to the study of body weight regulation. Pharmacol Rev 52(1):35-61
abstractText  Energy homeostasis is accomplished through a highly integrated and redundant neurohumoral system. Recently, novel molecular mediators and regulatory pathways for feeding and body weight regulation have been identified in the brain and the periphery. Because of the multitude and complexity of disturbances in energy intake, expenditure, and partitioning that are associated with obesity, it has been difficult to determine which abnormalities are causative versus less important phenomena that are consequences of the altered neuroendocrine and metabolic milieu. Transgenic technology has provided new opportunities to modify the complex body weight-regulating system and to assess the relative importance of the individual components. Observations of mutant mice have shed new light on the understanding of energy homeostasis equation. Once created, transgenic animal models may be useful in assessing the efficacy or determining the mode of action of potential new therapeutic agents. However, the interpretation of targeted mutation is sometimes not straightforward in unraveling the physiology because of the redundancy and compensation of the regulatory machinery, as well as the inherent problems of manipulation of the gene. Modifying the synthesis of a particular gene at all sites and developmental stages may be a relatively crude way of investigating its functions. Advanced gene-targeting strategies aimed at specific alterations (on and off) of a gene product at desired tissues and times could lead to a better understanding of the system.
Quick Links:
 
Quick Links:
 

Expression

Publication --> Expression annotations

 

Other

1 Authors

0 Bio Entities

0 Expression