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Obesity medication lorcaserin requires brainstem GLP-1 neurons to reduce food intake in mice

Authors :
Stefan Wagner
Daniel I. Brierley
Alasdair Leeson-Payne
Wanqing Jiang
Raffaella Chianese
Brian Y. H. Lam
Georgina K. C. Dowsett
Claudia Cristiano
David Lyons
Frank Reimann
Fiona M. Gribble
Giles S.H. Yeo
Stefan Trapp
Lora K. Heisler
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

Overweight and obesity are rapidly becoming the “new normal” in developed countries, which promotes a widespread negative impact on human health. Amongst recently developed obesity medications are the serotonin 2C receptor (5-HT2CR) agonist lorcaserin and glucagon-like peptide-1 receptor (GLP-1R) agonists, but the brain circuits employed by these medications to produce their therapeutic effects remain to be fully defined. 5-HT2CRs and GLP-1Rs are widely distributed in the brain, including in the key homeostatic region the nucleus of the solitary tract (NTS) where GLP-1 is produced by preproglucagon (PPGNTS) neurons. PPGNTS cells were profiled using histochemistry and single nucleus RNA sequencing (Nuc-Seq) of mouse brainstem. Transcriptomic analyses revealed 5-HT2CR expression was widespread in PPGNTS clusters. Demonstrating the functional significance of this co-expression, lorcaserin required PPGNTS to reduce food intake. Analysis of second order neurons revealed that local GLP1-R neurons within the NTS are necessary for 5-HT2CRNTS food intake suppression. In contrast, GLP-1RNTS were not required for GLP-1R agonist liraglutide and exendin-4’s short term feeding reduction, suggesting scope for lorcaserin and GLP1-R agonist combination therapy. In support of this, lorcaserin+liraglutide and lorcaserin+exendin-4 produced greater reductions in food intake when administered in combination as compared to monotherapies. These data provide insight into the therapeutic mechanisms of lorcaserin and identify a combination strategy to improve the therapeutic profile of lorcaserin and GLP1-R agonists.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........5ca22b316a854b814c6dcd4eee2c5e5a
Full Text :
https://doi.org/10.1101/2022.05.06.490598