Evidence map›Paper›PMID 40842374›Full record

ArticleDiabetes, obesity & metabolism2025

Glycaemic responses to metformin monotherapy by SNP clusters in patients with type 2 diabetes.

Wayne Huey-Herng Sheu, Chun-Yi Lee, Yi-Wen Wang, Cai-Sian Liao, Tzu-Hung Hsiao, Ken Suzuki, Konstantinos Hatzikotoulas, Andrew P Morris, Type 2 Diabetes Global Genetics Initiative, Yii-Der Ida Chen and 1 more

Abstract read
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In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Wayne Huey-Herng SheuInstitute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan.ORCID https://orcid.org/0000-0002-8805-8340
Chun-Yi LeeInstitute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan.
Yi-Wen WangInstitute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan.
Cai-Sian LiaoBioinformatics Program, Institute of Statistical Science, Taiwan International Graduate Program, Academia Sinica, Taipei, Taiwan.
Tzu-Hung HsiaoDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Ken SuzukiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Konstantinos HatzikotoulasInstitute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Andrew P MorrisCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK.
Type 2 Diabetes Global Genetics Initiative
Yii-Der Ida ChenThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA.

Funding

Academia Sinica 236e-1100202Academia Sinica 40-05-GMMAcademia Sinica AS-FILBD-114-S01Academia Sinica AS-GC-110-MD02National Development Fund, Executive Yuan NSTC 111-3114-Y-001-001National Health Research Institutes, Taiwan MG-112-PP-18National Health Research Institutes, Taiwan MG-112-SP-09National Health Research Institutes, Taiwan MG-113-GP-03
6 · The paper itself

Abstract

aimsThis study retrospectively investigates the association between polygenic risk scores (PRS) derived from SNP clusters and glycaemic response to metformin in patients with newly diagnosed T2D. MATERIALS AND

methodsUtilizing a dataset from the Taiwan Precision Medicine Initiative, we evaluated alterations in fasting glucose (FBG) and glycated haemoglobin (HbA1c) in individuals newly diagnosed with T2D who underwent metformin monotherapy for a duration of 6 months. Glycaemic responses between those in the bottom 20% of PRS (Q1) and the top 20% of PRS (Q5) for each of the SNP clusters and for the combination of two clusters were analysed.

resultsIn responses to metformin monotherapy, significant differences of FBG levels were detected in Q1 as compared to Q5 in individuals of PRS derived from the cluster of beta-cell dysfunction with a positive association with proinsulin (Beta cell +PI) (p = 0.005) and the cluster of beta-cell dysfunction with a negative association with proinsulin (Beta cell -PI) (p = 0.003). Moreover, lower FBG levels on treatment were observed in those with both Q1 than those with both Q5 in the PRS derived from the two clusters of beta cell dysfunction (p = 0.002). Significantly reduced HbA1c values were documented in the Q1 in comparison to the Q5 within the cluster of Beta cell -PI (p = 0.002).

conclusionThese findings suggest that PRS derived from beta-cell dysfunction clusters may help predict glycaemic response to metformin and support the potential for genetically guided treatment in T2D.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsMetforminPolymorphism, Single NucleotideAdultAgedBlood GlucoseFemaleGlycated HemoglobinGlycemic ControlHumansInsulin-Secreting CellsMaleMiddle AgedMultifactorial InheritanceRetrospective StudiesBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsMetforminclustermetforminSNPstype 2 diabetes

Identifiers

PMID40842374
PMCPMC12515771

What Socratic holds

Texttitle and abstract
LicenceCC BY
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Registered trials

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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 Socratic graph.