4.8 Article

New inducible genetic method reveals critical roles of GABA in the control of feeding and metabolism

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1602049113

关键词

inducible gene knockout; feeding behavior; eating disorders; GABA; AgRP neurons

资金

  1. Pew Charitable Trust
  2. American Diabetes Association [7-13-JF-61]
  3. Baylor Collaborative Faculty Research Investment Program
  4. US Department of Agriculture/Agricultural Research Service Current Research Information System grants
  5. Baylor College of Medicine
  6. University of Iowa New Faculty Start-Up grants
  7. NIH [R01DK093587, R01DK101379, R01-DA24908]

向作者/读者索取更多资源

Currently available inducible Cre/loxP systems, despite their considerable utility in gene manipulation, have pitfalls in certain scenarios, such as unsatisfactory recombination rates and deleterious effects on physiology and behavior. To overcome these limitations, we designed a new, inducible gene-targeting system by introducing an in-frame nonsense mutation into the coding sequence of Cre recombinase (nsCre). Mutant mRNAs transcribed from nsCre transgene can be efficiently translated into full-length, functional Cre recombinase in the presence of nonsense suppressors such as aminoglycosides. In a proof-of-concept model, GABA signaling from hypothalamic neurons expressing agouti-related peptide (AgRP) was genetically inactivated within 4 d after treatment with a synthetic aminoglycoside. Disruption of GABA synthesis in AgRP neurons in young adult mice led to a dramatic loss of body weight due to reduced food intake and elevated energy expenditure; they also manifested glucose intolerance. In contrast, older mice with genetic inactivation of GABA signaling by AgRP neurons had only transient reduction of feeding and body weight; their energy expenditure and glucose tolerance were unaffected. These results indicate that GABAergic signaling from AgRP neurons plays a key role in the control of feeding and metabolism through an age-dependent mechanism. This new genetic technique will augment current tools used to elucidate mechanisms underlying many physiological and neurological processes.

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