Evidence map›Paper›PMID 23229855›Full record

ArticlePharmaceutical research2013

Interspecies modeling and prediction of human exenatide pharmacokinetics.

Ting Chen, Donald E Mager, Leonid Kagan

Abstract read
In one paragraph

Article in Pharmaceutical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Mini reviews in medicinal chemistry · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Preclinical Pharmacokinetics and Safety of Intravenous RTD-1.Antimicrobial agents and chemotherapy · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Activation of GLP-1 receptors attenuates oxycodone taking and seeking without compromising the antinociceptive effects of oxycodone in rats.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  13. Article
  14. Population pharmacokinetics of exenatide.British journal of clinical pharmacology · 2017
    Article
  15. Input Estimation for Extended-Release Formulations Exemplified with Exenatide.Frontiers in bioengineering and biotechnology · 2017
    Article
  16. Review
  17. A Tutorial on Target-Mediated Drug Disposition (TMDD) Models.CPT: pharmacometrics & systems pharmacology · 2015
    Article
  18. Review
  19. Article
  20. 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

3 authors.

Ting ChenDepartment of Pharmaceutical Sciences, University at Buffalo State University of New York, 433 Kapoor Hall, Buffalo, New York, 14260, USA.
Donald E Mager
Leonid Kagan

Funding

Synergistic Pharmacologicjntervention for Prevention of ROP (SPIPROP STUDY)U54HD071594 · NICHD · SUNY DOWNSTATE MEDICAL CENTER · PI QU, JUN · 2011 to 2015
$3.6M
MATHEMATICAL MODELS IN PHARMACODYNAMICSR01GM057980 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J., KRZYZANSKI, WOJCIECH · 1998 to 2013
$3.4M
NICHD NIH HHS HD071594NICHD NIH HHS U54 HD071594NIGMS NIH HHS GM57980NIGMS NIH HHS R01 GM057980
6 · The paper itself

Abstract

purposeTo develop a model-based approach for interspecies scaling of the preclinical pharmacokinetics of exenatide and to predict concentration-time profiles in humans.

methodsA target-mediated drug disposition (TMDD) model was simultaneously fit to concentration-time profiles of exenatide over a wide range of intravenous (IV) and subcutaneous (SC) doses obtained from mice, rats, and monkeys. Allometric relationships were incorporated into the model to scale parameters based on species body weight. Human pharmacokinetic profiles following IV and SC administration were simulated using the final model structure and parameter estimates and compared to clinical data.

resultsThe final model provided a good simultaneous fit to all animal data and reasonable parameter estimates. Exenatide receptor binding affinity and baseline receptor concentrations were species-dependent. Absorption parameters from rat provided the best prediction of exenatide SC absorption in humans, but good predictions could also be obtained using allometric scaling of preclinical absorption parameters.

conclusionsA TMDD model combined with allometric scaling was successfully used to simultaneously describe preclinical data for exenatide from three animal species following both IV and SC administration. The majority of model parameters could be shared among the animal species and further used for projecting exenatide behavior in humans.

Indexed as

AnimalsExenatideHumansHypoglycemic AgentsInfusions, IntravenousInfusions, SubcutaneousMacaca mulattaMiceModels, BiologicalPeptidesRatsRats, Sprague-DawleySpecies SpecificityVenomsExenatideHypoglycemic AgentsPeptidesVenoms

Identifiers

PMID23229855
PMCPMC3732180

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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 OpenQuestion graph.