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

© 2023. The Author(s)..

AIMS/HYPOTHESIS: The 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.

METHODS: A 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.

RESULTS: A 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/INTERPRETATION: Metformin'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.

Errataetall:

CommentIn: Nat Rev Endocrinol. 2023 Jun;19(6):314. - PMID 37012422

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:66

Enthalten in:

Diabetologia - 66(2023), 6 vom: 01. Juni, Seite 1024-1034

Sprache:

Englisch

Beteiligte Personen:

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

Links:

Volltext

Themen:

9100L32L2N
Chronopharmacology
Empirical modelling
Hypoglycemic Agents
Journal Article
Mechanistic modelling
Metformin
Organic Cation Transport Proteins
Pharmacokinetics
Renal excretion
Research Support, Non-U.S. Gov't
Transporter

Anmerkungen:

Date Completed 08.05.2023

Date Revised 13.03.2024

published: Print-Electronic

CommentIn: Nat Rev Endocrinol. 2023 Jun;19(6):314. - PMID 37012422

Citation Status MEDLINE

doi:

10.1007/s00125-023-05898-4

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM354356577