Evidence map›Paper›PMID 33290902›Full record

ReviewMolecular metabolism2021

Targeting the GIPR for obesity: To agonize or antagonize? Potential mechanisms.

Jonathan E Campbell

Open access · goldAbstract readReview
In one paragraph

Review in Molecular metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% 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

77 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

  1. Pooled it
  2. Glycemic and bodyweight effects ofScience advances · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. The role of the incretin GIP in inflammation.Journal of endocrinological investigation · 2026
    Review
  14. Circulating levels of gut hormones in anorexia nervosa before and after short-term weight restoration.Progress in neuro-psychopharmacology & biological psychiatry · 2026
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article

17 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Jonathan E CampbellDuke Molecular Physiology Institute, Duke University, Durham, NC, USA; Department of Medicine, Division of Endocrinology, Duke University, Durham, NC, USA; Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA. Electronic address: jonathan.campbell@duke.edu.
Duke University · US

Funding

Novel metabolic actions of GIPR01DK125353 · NIDDK · DUKE UNIVERSITY · PI CAMPBELL, JONATHAN E, D'ALESSIO, DAVID A. · 2020 to 2024
$2.1M
Mechanisms of insulin secretion mediated by alpha cellsR01DK123075 · NIDDK · DUKE UNIVERSITY · PI CAMPBELL, JONATHAN E · 2019 to 2023
$1.9M
NIDDK NIH HHS R01 DK123075NIDDK NIH HHS R01 DK125353
6 · The paper itself

Abstract

backgroundGlucose-dependent insulinotropic peptide (GIP) is one of two incretin hormones that communicate nutrient intake with systemic metabolism. Although GIP was the first incretin hormone to be discovered, the understanding of GIP's biology was quickly outpaced by research focusing on the other incretin hormone, glucagon-like peptide 1 (GLP-1). Early work on GIP produced the theory that GIP is obesogenic, limiting interest in developing GIPR agonists to treat type 2 diabetes. A resurgence of GIP research has occurred in the last five years, reinvigorating interest in this peptide. Two independent approaches have emerged for treating obesity, one promoting GIPR agonism and the other antagonism. In this report, evidence supporting both cases is discussed and hypotheses are presented to reconcile this apparent paradox. SCOPE OF THE REVIEW: This review presents evidence to support targeting GIPR to reduce obesity. Most of the focus is on the effect of singly targeting the GIPR using both a gain- and loss-of-function approach, with additional sections that discuss co-targeting of the GIPR and GLP-1R. MAJOR

conclusionsThere is substantial evidence to support that GIPR agonism and antagonism can positively impact body weight. The long-standing theory that GIP drives weight gain is exclusively derived from loss-of-function studies, with no evidence to support that GIPR agonisms increases adiposity or body weight. There is insufficient evidence to reconcile the paradoxical observations that both GIPR agonism and antagonism can reduce body weight; however, two independent hypotheses centered on GIPR antagonism are presented based on new data in an effort to address this question. The first discusses the compensatory relationship between incretin receptors and how antagonism of the GIPR may enhance GLP-1R activity. The second discusses how chronic GIPR agonism may produce desensitization and ultimately loss of GIPR activity that mimics antagonism. Overall, it is clear that a deeper understanding of GIP biology is required to understand how modulating this system impacts metabolic homeostasis.

Indexed as

Glucagon-Like Peptide-1 Receptor AgonistsAdipose TissueAnimalsBody WeightDiabetes Mellitus, Type 2Gastric Inhibitory PolypeptideGlucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorHumansIncretinsMiceMice, KnockoutObesityWeight GainGastric Inhibitory PolypeptideGlucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsIncretinsGlucose-dependent insulinotropic polypeptide (GIP)IncretinsObesityType 2 diabetes

Identifiers

PMID33290902
PMCPMC8085569
OpenAlexW3111709040

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.