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Metabolomic Approaches to Defining the Role(s) of GABAρ Receptors in the Brain

Overview of attention for article published in Journal of Neuroimmune Pharmacology, January 2015
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Title
Metabolomic Approaches to Defining the Role(s) of GABAρ Receptors in the Brain
Published in
Journal of Neuroimmune Pharmacology, January 2015
DOI 10.1007/s11481-014-9579-4
Pubmed ID
Authors

Caroline Rae, Fatima A. Nasrallah, Vladimir J. Balcar, Benjamin D. Rowlands, Graham A. R. Johnston, Jane R. Hanrahan

Abstract

The inhibitory neurotransmitter γ-aminobutyric acid (GABA) acts through various types of receptors in the central nervous system. GABAρ receptors, defined by their characteristic pharmacology and presence of ρ subunits in the channel structure, are poorly understood and their role in the cortex is ill-defined. Here, we used a targeted pharmacological, NMR-based functional metabolomic approach in Guinea pig brain cortical tissue slices to identify a distinct role for these receptors. We compared metabolic fingerprints generated by a range of ligands active at GABAρ and included these in a principal components analysis with a library of other metabolic fingerprints obtained using ligands active at GABAA and GABAB, with inhibitors of GABA uptake and with compounds acting to inhibit enzymes active in the GABAergic system. This enabled us to generate a metabolic "footprint" of the GABAergic system which revealed classes of metabolic activity associated with GABAρ which are distinct from other GABA receptors. Antagonised GABAρ produce large metabolic effects at extrasynaptic sites suggesting they may be involved in tonic inhibition.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Australia 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Professor 3 12%
Other 2 8%
Professor > Associate Professor 2 8%
Student > Master 2 8%
Other 2 8%
Unknown 9 36%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 12%
Medicine and Dentistry 3 12%
Mathematics 1 4%
Nursing and Health Professions 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 4 16%
Unknown 12 48%