Evidence map›Paper›PMID 42487666›Full record

ReviewJournal of the Endocrine Society2026

Personalization of incretin therapy: can GLP-1 and GIP receptor polymorphisms influence therapy response?

Sandro La Vignera, Rosita A Condorelli

Abstract readReview
In one paragraph

Review in Journal of the Endocrine Society, 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

2 authors.

Sandro La VigneraDepartment of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy.ORCID https://orcid.org/0000-0002-7113-2372
Rosita A CondorelliDepartment of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Incretin-based therapies-glucagon-like peptide-1 receptor agonists (GLP-1RAs) such as semaglutide and the dual GLP-1/GIP receptor agonist tirzepatide-have transformed the management of type 2 diabetes (T2D) and obesity. However, substantial interindividual variability in therapeutic response remains incompletely explained by clinical factors alone. Methods: A systematic search of PubMed, SciSpace, and Google Scholar was conducted (through May 2026) using terms including GLP1R, GIPR, polymorphisms, pharmacogenomics, semaglutide, tirzepatide, and Italian population. Relevant original studies, genome-wide association studies, and reviews were included. Results: Common GLP1R variants-notably rs6923761 (Gly168Ser) and rs10305492 (Ala316Thr)-modulate receptor expression, G-protein coupling efficiency, and downstream cAMP signaling, translating to differential HbA1c reduction and weight loss with GLP-1RAs. GIPR rs1800437 (Glu354Gln), present at ∼20% frequency in Europeans, is associated with altered incretin effect and increased nausea/vomiting risk with tirzepatide (OR 1.83). Geographic analyses reveal significant allele frequency variation between European, East Asian, and African populations; Italian-specific data remain limited but suggest frequencies consistent with broader Southern European patterns. Conclusion: Pharmacogenomic profiling of GLP1R and GIPR variants holds promise for personalizing incretin therapy. Prospective studies in Italian and broader Mediterranean cohorts are needed to define clinically actionable genotype-phenotype relationships and inform precision endocrinology practice.

Indexed as

GIP receptorGLP-1 receptor agonistsItalian populationobesitypharmacogenomicsprecision medicinesemaglutidesingle nucleotide polymorphismstirzepatidetype 2 diabetes

Identifiers

PMID42487666
PMCPMC13389710

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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.