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New insight into GABAergic neurons in the hypothalamic feeding regulation

Overview of attention for article published in The Journal of Physiological Sciences, July 2018
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Title
New insight into GABAergic neurons in the hypothalamic feeding regulation
Published in
The Journal of Physiological Sciences, July 2018
DOI 10.1007/s12576-018-0622-8
Pubmed ID
Authors

Shigetomo Suyama, Toshihiko Yada

Abstract

Several lines of study have suggested that GABA in the hypothalamic feeding center plays a role in promoting food intake. Recent studies revealed that not only NPY/AgRP neurons in the hypothalamic arcuate nucleus (ARC) that co-express GABA but also other GABAergic neurons act as an orexigenic. Here, we review the progress of studies on hypothalamic GABAergic neurons distributed in ARC, dorsomedial hypothalamus (DMH), and lateral hypothalamus (LH). Three advanced technologies have been applied and greatly contributed to the recent progress. Optogenetic (and chemogenetic) approaches map input and output pathways of particular subpopulations of GABAergic neurons. In vivo Ca2+ imaging using GRIN lens and GCaMP can correlate the activity of GABAergic neuron subpopulations with feeding behavior. Single-cell RNA-seq approach clarifies precise transcriptional profiles of GABAergic neuron subpopulations. These approaches have shown diversity of GABAergic neurons and the subpopulation-dependent role in feeding regulation.

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The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Researcher 8 10%
Student > Bachelor 8 10%
Student > Doctoral Student 6 7%
Professor > Associate Professor 4 5%
Other 11 13%
Unknown 31 37%
Readers by discipline Count As %
Neuroscience 19 23%
Biochemistry, Genetics and Molecular Biology 11 13%
Agricultural and Biological Sciences 6 7%
Medicine and Dentistry 4 5%
Computer Science 3 4%
Other 11 13%
Unknown 29 35%