Evidence map›Paper›PMID 42898214›Full record

ReviewObesity pillars2026

Determinants of variable response to GLP-1 receptor agonists: A mechanism-informed framework for precision treatment of obesity.

Samit Ghosal

Abstract readReview
In one paragraph

Review in Obesity pillars, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Samit GhosalNightingale Hospital, Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The management of obesity changed significantly with the introduction of glucagon-like peptide-1 receptor agonists (GLP-1RAs). However, considerable interindividual variability in weight-loss response remains, and its determinants are incompletely understood.This review proposes an integrated mechanistic and clinical framework for understanding interindividual variability in GLP-1RA response and explores whether biologically defined obesity phenotypes could ultimately inform precision treatment. Methods: This was a structured literature review and framework synthesis that drew from PubMed/MEDLINE and CENTRAL to integrate clinical, mechanistic, and translational evidence into a multi-level, hypothesis-generating model of GLP-1RA response. Results: Pharmacokinetic exposure, receptor-level signalling, and central nervous system involvement were integrated into a three-level framework. This framework was overlaid onto a spectrum of candidate biological domains spanning appetite/satiety, reward/hedonic processes, metabolic dysfunction, and energy conservation. Complementary pharmacological pathways involving GIP, amylin, and glucagon were subsequently mapped onto these domains as mechanistically plausible treatment hypotheses. However, evidence that these phenotypes predict differential treatment effects is currently insufficient to define therapeutic endotypes. Conclusion: Interindividual variability in GLP-1RA response may partly reflect underlying biological heterogeneity. Mechanism-informed phenotyping offers a testable framework for investigating this variability, but prospective demonstration of phenotype-by-treatment interactions will be required before such phenotypes can be considered therapeutic endotypes or used to guide treatment selection.

Indexed as

GLP-1 receptor agonistsObesity medicationsObesity phenotypesPrecision medicineTreatment response

Identifiers

PMID42898214
PMCPMC13677415

What OpenQuestion holds

Textmetadata
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.