Literature DB >> 33463043

Amino acids are sensitive glucagon receptor-specific biomarkers for glucagon-like peptide-1 receptor/glucagon receptor dual agonists.

Wenyu Li1, Thomas Kirchner1, George Ho1, Fany Bonilla1, Katharine D'Aquino1, James Littrell1, Rui Zhang1, Wenying Jian2, Xi Qiu2, Songmao Zheng3, Bin Gao4, Peggy Wong5, James N Leonard1, Raul C Camacho1.   

Abstract

AIM: The aim of this study was to evaluate amino acids as glucagon receptor (GCGR)-specific biomarkers in rodents and cynomolgus monkeys in the presence of agonism of both glucagon-like peptide-1 receptor (GLP1R) and GCGR with a variety of dual agonist compounds.
MATERIALS AND METHODS: Primary hepatocytes, rodents (normal, diet-induced obese and GLP1R knockout) and cynomolgus monkeys were treated with insulin (hepatocytes only), glucagon (hepatocytes and cynomolgus monkeys), the GLP1R agonist, dulaglutide, or a variety of dual agonists with varying GCGR potencies.
RESULTS: A long-acting dual agonist, Compound 2, significantly decreased amino acids in both wild-type and GLP1R knockout mice in the absence of changes in food intake, body weight, glucose or insulin, and increased expression of hepatic amino acid transporters. Dulaglutide, or a variant of Compound 2 lacking GCGR agonism, had no effect on amino acids. A third variant with ~31-fold less GCGR potency than Compound 2 significantly decreased amino acids, albeit to a significantly lesser extent than Compound 2. Dulaglutide (with saline infusion) had no effect on amino acids, but an infusion of glucagon dose-dependently decreased amino acids on the background of GLP1R engagement (dulaglutide) in cynomolgus monkeys, as did Compound 2.
CONCLUSIONS: These results show that amino acids are sensitive and translatable GCGR-specific biomarkers.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  amino acids, glucagon receptor, glucagon‐like peptide‐1 receptor, oxyntomodulin, pharmacology

Mesh:

Substances:

Year:  2020        PMID: 33463043     DOI: 10.1111/dom.14173

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  2 in total

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