Evidence map›Paper›PMID 34129856›Full record

ArticleBiochemical pharmacology2021

Evaluation of efficacy- versus affinity-driven agonism with biased GLP-1R ligands P5 and exendin-F1.

Amaara Marzook, Shiqian Chen, Phil Pickford, Maria Lucey, Yifan Wang, Ivan R Corrêa, Johannes Broichhagen, David J Hodson, Victoria Salem, Guy A Rutter and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Biochemical pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. GPCR Biased Signaling in Metabolism.Handbook of experimental pharmacology · 2026
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 4 countries.

Amaara MarzookSection of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom.
Shiqian ChenSection of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom.
Phil PickfordSection of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom.
Maria LuceySection of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom.
Yifan WangSection of Cell Biology and Functional Genomics, Imperial College London, London, United Kingdom.
Ivan R CorrêaNew England Biolabs, Ipswich, MA, USA.
Johannes BroichhagenLeibniz-Forschungsinstitut für Molekulare Pharmakologie, Berlin, Germany.
David J HodsonInstitute of Metabolism and Systems Research (IMSR), University of Birmingham, Birmingham, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, United Kingdom; Centre of Membrane Proteins and Receptors (COMPARE), Universities of Birmingham and Nottingham, Midlands, United Kingdom.
Victoria SalemSection of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom; Department of Bioengineering, Imperial College London, London, United Kingdom.
Guy A RutterSection of Cell Biology and Functional Genomics, Imperial College London, London, United Kingdom; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Tricia M TanSection of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom.
Stephen R BloomSection of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom.
Alejandra TomasSection of Cell Biology and Functional Genomics, Imperial College London, London, United Kingdom.
Ben JonesSection of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom.
Imperial College London · GBGenomics (United Kingdom) · GBLeibniz-Forschungsinstitut für Molekulare Pharmakologie · DENew England Biolabs (United States) · USUniversity of Birmingham · GB

Funding

Medical Research Council MR/K023667/1Medical Research Council MR/L02036X/1Medical Research Council MR/N00275X/1Medical Research Council MR/R010676/1Medical Research Council MR/R022259/1Medical Research Council MR/S025618/1Wellcome TrustWellcome Trust 212625/Z/18/Z
6 · The paper itself

Abstract

The glucagon-like peptide-1 receptor (GLP-1R) is an important regulator of glucose homeostasis and has been successfully targeted for the treatment of type 2 diabetes. Recently described biased GLP-1R agonists with selective reductions in β-arrestin versus G protein coupling show improved metabolic actions in vivo. However, two prototypical G protein-favouring GLP-1R agonists, P5 and exendin-F1, are reported to show divergent effects on insulin secretion. In this study we aimed to resolve this discrepancy by performing a side-by-side characterisation of these two ligands across a variety of in vitro and in vivo assays. Exendin-F1 showed reduced acute efficacy versus P5 for several readouts, including recruitment of mini-G proteins, G protein-coupled receptor kinases (GRKs) and β-arrestin-2. Maximal responses were also lower for both GLP-1R internalisation and the presence of active GLP-1R-mini-G

Indexed as

Glucagon-Like Peptide-1 Receptor AgonistsAnimalsbeta-Arrestin 2Cell LineExenatideGene Expression RegulationGlucagon-Like Peptide-1 ReceptorHumansInsulin-Secreting CellsMaleMiceMice, Inbred C57BLPyridinesbeta-Arrestin 2ethyl-7-(3-nitrophenyl)-5,8a-dimethyl-6-methoxycarbonyl-2,3,8,8a-tetrahydro-7H-oxazolo(3,2-a)pyridin-8-carboxylateExenatideGLP1R protein, humanGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsPyridinesBiased agonismEndocytosisExendin-4GLP-1Rβ-arrestin

Identifiers

PMID34129856
PMCPMC8346945
OpenAlexW3171804930

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.