Evidence mapPaperPMID 40775340Full record

ReviewJournal of translational medicine2025

Influence of OCT2 gene variants on metformin efficacy in type 2 diabetes: insights into pharmacogenomics and drug interactions.

Ma'mon M Hatmal, Omar Abuyaman, Mohammad A I Al-Hatamleh, Heba Tayyem, Amin N Olaimat, Ali Mussa, Iman Aolymat, Aymen Abuawad, Mohanad Odeh, Rana Qawaqzeh

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

10 authors.

Ma'mon M HatmalDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, The Hashemite University, P.O. Box 330127, Zarqa, 13133, Jordan. mamon@hu.edu.jo.ORCID 0000-0003-1745-8985
Omar AbuyamanDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, The Hashemite University, P.O. Box 330127, Zarqa, 13133, Jordan.
Mohammad A I Al-HatamlehUPMC Hillman Cancer Center, Division of Malignant Hematology and Medical Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Heba TayyemDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, The Hashemite University, P.O. Box 330127, Zarqa, 13133, Jordan.
Amin N OlaimatDepartment of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan.
Ali MussaDepartment of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Iman AolymatDepartment of Anatomy, Physiology and Biochemistry, Faculty of Medicine, The Hashemite University, Zarqa, Jordan.
Aymen AbuawadGenoLabs, Amman, Jordan.
Mohanad OdehDepartment of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa, Jordan.
Rana QawaqzehFaculty of Medicine, The Hashemite University, Zarqa, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metformin, a widely prescribed treatment for type 2 diabetes mellitus (T2DM), demonstrates significant inter-individual variability in its therapeutic response. This variability is potentially driven by genetic differences in drug transporters. Among these transporters, the organic cation transporter 2 (OCT2) plays a critical role in the pharmacokinetics of metformin by mediating its uptake into renal epithelial cells for excretion. This review explores the potential impact of genetic variations in OCT2 gene (SLC22A2) on the pharmacokinetics and pharmacodynamics of metformin. These genetic variations can alter metformin accumulation in the kidneys, impacting its overall clearance and therapeutic effectiveness. Furthermore, the interactions of metformin with other drugs, especially in T2DM patients, can compromise its pharmacokinetics. Thus, it is important to consider the influence of genetic variability and potential drug interactions when prescribing metformin. Incorporating genetic testing into clinical decision-making could help optimize dosing strategies and improve treatment outcomes, particularly when managing patients with complex comorbid conditions.

Indexed as

Diabetes Mellitus, Type 2Genetic VariationMetforminOrganic Cation Transporter 2PharmacogeneticsPharmacogenomic VariantsDrug InteractionsHumansTreatment OutcomeMetforminOrganic Cation Transporter 2SLC22A2 protein, human808G > TInsulinOrganic cation transportersRs316019SLC22A2SNPT2DM

Identifiers

PMID40775340
PMCPMC12333187

What Socratic 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 Socratic graph.