Evidence mapPaperPMID 36930251Full record

ArticleDiabetologia2023

Significant impact of time-of-day variation on metformin pharmacokinetics.

Denise Türk, Nina Scherer, Dominik Selzer, Christiane Dings, Nina Hanke, Robert Dallmann, Matthias Schwab, Peter Timmins, Valerie Nock, Thorsten Lehr

Open access · hybridFull text read
In one paragraph

Article in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  7. Article
  8. Circadian considerations in antimicrobials.European journal of clinical pharmacology · 2026
    Review
  9. Article
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  11. Review
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  15. Metformin and bone metabolism: unraveling their direct and indirect effects.Therapeutic advances in endocrinology and metabolism · 2025
    Review
  16. Artificial Light at Night and Type 2 Diabetes Mellitus.Diabetes & metabolism journal · 2024
    Review
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Denise TürkClinical Pharmacy, Saarland University, Saarbrücken, Germany.ORCID https://orcid.org/0000-0002-4047-402X
Nina SchererClinical Pharmacy, Saarland University, Saarbrücken, Germany.
Dominik SelzerClinical Pharmacy, Saarland University, Saarbrücken, Germany.
Christiane DingsClinical Pharmacy, Saarland University, Saarbrücken, Germany.
Nina HankeClinical Pharmacy, Saarland University, Saarbrücken, Germany.
Robert DallmannDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0002-7490-0218
Matthias SchwabDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Peter TimminsDepartment of Pharmacy, University of Huddersfield, Huddersfield, UK.ORCID https://orcid.org/0000-0002-5840-0678
Valerie NockBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Thorsten LehrClinical Pharmacy, Saarland University, Saarbrücken, Germany. thorsten.lehr@mx.uni-saarland.de.ORCID https://orcid.org/0000-0002-8372-1465
Saarland University · DEBoehringer Ingelheim (Germany) · DEDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DEUniversity of Huddersfield · GBUniversity of Warwick · GB

Funding

Cancer Research UK 29468
6 · The paper itself

Abstract

aims/hypothesisThe objective was to investigate if metformin pharmacokinetics is modulated by time-of-day in humans using empirical and mechanistic pharmacokinetic modelling techniques on a large clinical dataset. This study also aimed to generate and test hypotheses on the underlying mechanisms, including evidence for chronotype-dependent interindividual differences in metformin plasma and efficacy-related tissue concentrations.

methodsA large clinical dataset consisting of individual metformin plasma and urine measurements was analysed using a newly developed empirical pharmacokinetic model. Causes of daily variation of metformin pharmacokinetics and interindividual variability were further investigated by a literature-informed mechanistic modelling analysis.

resultsA significant effect of time-of-day on metformin pharmacokinetics was found. Daily rhythms of gastrointestinal, hepatic and renal processes are described in the literature, possibly affecting drug pharmacokinetics. Observed metformin plasma levels were best described by a combination of a rhythm in GFR, renal plasma flow (RPF) and organic cation transporter (OCT) 2 activity. Furthermore, the large interindividual differences in measured metformin concentrations were best explained by individual chronotypes affecting metformin clearance, with impact on plasma and tissue concentrations that may have implications for metformin efficacy. CONCLUSIONS/

interpretationMetformin's pharmacology significantly depends on time-of-day in humans, determined with the help of empirical and mechanistic pharmacokinetic modelling, and rhythmic GFR, RPF and OCT2 were found to govern intraday variation. Interindividual variation was found to be partly dependent on individual chronotype, suggesting diurnal preference as an interesting, but so-far underappreciated, topic with regard to future personalised chronomodulated therapy in people with type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2MetforminHumansHypoglycemic AgentsKidneyLiverOrganic Cation Transport ProteinsHypoglycemic AgentsMetforminOrganic Cation Transport ProteinsChronopharmacologyEmpirical modellingMechanistic modellingMetforminPharmacokineticsRenal excretionTransporter

Identifiers

PMID36930251
PMCPMC10163090
OpenAlexW4327681932

What Socratic holds

Textfull text, public
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.