Evidence map›Paper›PMID 39928707›Full record

ArticlePloS one2025

PCK1 and SLC22A2 gene variants associated with response to metformin treatment in type 2 diabetes.

Sophie St-Amour, Laurence Tessier, Janie Harnois, Catherine Allard, Alexandre Lavoie, Philippe Caron, Luigi Bouchard, Patrice Perron, Karine Tremblay

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

9 authors.

Sophie St-AmourResearch Center, Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-Saint-Jean, Saguenay, Quebec, Canada.
Laurence TessierResearch Center, Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-Saint-Jean, Saguenay, Quebec, Canada.
Janie HarnoisResearch Center, Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-Saint-Jean, Saguenay, Quebec, Canada.
Catherine AllardResearch Center, Centre hospitalier universitaire de Sherbrooke, Université de Sherbrooke, Quebec, Canada.ORCID https://orcid.org/0000-0002-8829-4984
Alexandre LavoiePharmacy Department, Centre intégré universitaire de santé et services sociaux du Saguenay-Lac-Saint-Jean, Saguenay, Quebec, Canada.
Philippe CaronEndocrinology Division, Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-Saint-Jean, Saguenay, Quebec, Canada.
Luigi BouchardResearch Center, Centre hospitalier universitaire de Sherbrooke, Université de Sherbrooke, Quebec, Canada.
Patrice PerronResearch Center, Centre hospitalier universitaire de Sherbrooke, Université de Sherbrooke, Quebec, Canada.
Karine TremblayResearch Center, Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-Saint-Jean, Saguenay, Quebec, Canada.ORCID https://orcid.org/0000-0002-2774-9738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a chronic disorder affecting 462 million worldwide, often managed with metformin as first-line treatment. However, metformin's response varies among individuals, including up to 30% experiencing serious adverse drug reactions (ADRs) and 20-50% inefficacy. These differences may be due to various factors, including pharmacogenetic (PGx) variants. The PGx variants documented so far could affect both the safety and efficacy of metformin, but due to a lack of replication studies, none reached the clinical evidence-level needed to be used as a predictive marker for treatment response. Therefore, this study aims to evaluate the association between the presence of candidate PGx variants and metformin response in T2D subjects. We conducted an association study involving 108 T2D participants currently or previously treated with metformin. A characterization of their therapeutic response was carried out through questionnaires and pharmacological profile reviews. DNA samples were collected during their single visit to perform genotyping of 24 selected candidate PGx variants. Association analyses between candidate PGx variants and metformin response were performed. Among the subjects included in the analyses (n =  84), 25% were non-responders, and 58% experienced ADRs. At the time of study enrollment, 93.9% of non-responders continued to use metformin. The odds of being a non-responder to metformin are 5.6 times higher for homozygous carriers of the alternative allele of a variant within the PCK1 gene (rs4810083) compared to the other genotypes (95% interval confidence [1.9-16.6]). Two variants in perfect linkage disequilibrium within the SLC22A2 gene (rs316019 and rs316009) were associated with increase odds of having ADRs, where homozygous genotype carriers are 7.3 times more likely to have ADRs presentation (95% interval confidence [1.85-29.01]). This study identified associations between PCK1 and SLC22A2 candidate PGx variants and metformin response in T2D treatment. Additional genetic and functional studies are necessary to elucidate the variants' impact in metformin's pharmacological mechanisms.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsIntracellular Signaling Peptides and ProteinsMetforminOrganic Cation Transporter 2AgedFemaleGenotypeHumansMaleMiddle AgedPhosphoenolpyruvate Carboxykinase (GTP)Polymorphism, Single NucleotideHypoglycemic AgentsIntracellular Signaling Peptides and ProteinsMetforminOrganic Cation Transporter 2PCK1 protein, humanPhosphoenolpyruvate Carboxykinase (GTP)SLC22A2 protein, human

Identifiers

PMID39928707
PMCPMC11809887

What OpenQuestion holds

Texttitle and abstract
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.