Evidence map›Paper›PMID 40960559›Full record

ArticleClinical pharmacokinetics2025

Modeling Whole-Body Dynamic PET Microdosing Data to Predict the Whole-Body Pharmacokinetics of Glyburide in Humans.

Léa Comin, Solène Marie, Moreno Ursino, Sarah Zohar, Nicolas Tournier, Emmanuelle Comets

Abstract read
In one paragraph

Article in Clinical pharmacokinetics, 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. Detailed pharmacokinetic features of a novel bis-boronEuropean journal of nuclear medicine and molecular imaging · 2026
    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

6 authors.

Léa CominInserm, UMRS 1346, Université Paris Cité, Inria, HeKA, 75015, Paris, France.
Solène MarieLaboratoire d'Imagerie Biomédicale Multimodale (BioMaps), CEA, CNRS, Inserm, Université Paris-Saclay, Service Hospitalier Frédéric Joliot, Orsay, France.
Moreno UrsinoInserm, UMRS 1346, Université Paris Cité, Inria, HeKA, 75015, Paris, France.
Sarah ZoharInserm, UMRS 1346, Université Paris Cité, Inria, HeKA, 75015, Paris, France.
Nicolas Tournier *Laboratoire d'Imagerie Biomédicale Multimodale (BioMaps), CEA, CNRS, Inserm, Université Paris-Saclay, Service Hospitalier Frédéric Joliot, Orsay, France. nicolas.tournier1@universite-paris-saclay.fr.
Emmanuelle Comets *Univ Rennes, Inserm, EHESP, Irset-UMRS 1085, 35000, Rennes, France.ORCID 0000-0002-9150-9886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhole-body dynamic (WB4D) positron emission tomography (PET) imaging data using radiolabeled analogs of drugs are mostly analyzed using descriptive approaches, with no relationship to traditional pharmacokinetic studies based on blood sampling. Here, we build a pharmacokinetic (PK) model from WB4D PET data obtained using a microdose of radiolabeled glyburide ([

methodsThe present work analyzes data acquired over 40 min after injection of [

resultsThe final model included seven compartments, with two compartments each for the Liver and kidneys to account for within-tissue exchanges. Rifampicin decreased the Liver distribution by 261%. DISCUSSION: The estimated central volume of distribution (V = 3.6 L) and elimination rate (k = 0.8 h REGISTRATION: EudraCT identifier no. 2017-001703-69.

Indexed as

GlyburideHypoglycemic AgentsModels, BiologicalPositron-Emission TomographyAdultCarbon RadioisotopesFemaleHealthy VolunteersHumansMaleMiddle AgedRifampinTissue DistributionWhole Body ImagingYoung AdultCarbon RadioisotopesGlyburideHypoglycemic AgentsRifampin

Identifiers

PMID40960559
PMCPMC12618397

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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.