Evidence map›Paper›PMID 22179928›Full record

ArticlePharmaceutical research2012

Pharmacokinetic/pharmacodynamic modeling of GLP-1 in healthy rats.

Yanguang Cao, Wei Gao, William J Jusko

Abstract read
In one paragraph

Article in Pharmaceutical research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

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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

4 citing papers in PubMed, 21 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yanguang CaoDepartment of Pharmaceutical Sciences School of Pharmacy & Pharmaceutical Sciences, State University of New York at Buffalo, 565 Hochstetter Hall, Buffalo, New York 14260, USA.
Wei Gao
William J Jusko
University at Buffalo, State University of New York · US

Funding

MATHEMATICAL MODELS IN PHARMACODYNAMICSR01GM057980 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J., KRZYZANSKI, WOJCIECH · 1998 to 2013
$3.4M
NIGMS NIH HHS GM 57980NIGMS NIH HHS R01 GM057980
6 · The paper itself

Abstract

purposeTo provide a mechanism-based model to quantitatively describe GLP-1 pharmacokinetics (PK) and pharmacodynamics (PD) in rats.

methodsIntravenous (IV), infusion (IF), subcutaneous (SC), and intraperitoneal (IP) doses of GLP-1 were administered after glucose challenge in healthy Sprague-Dawley rats. Blood was analyzed for GLP-1, glucose, and insulin. The PK-PD modeling was performed with ADAPT 5. The concentration-response curve was generated and analyzed in comparison with other incretin-related therapeutics.

resultsThe PK of GLP-1 was described using a two-compartment model with a zero-order input accounting for endogenous GLP-1 synthesis. For SC and IP dosing, sequential zero-order and first-order absorption models reasonably described the rapid absorption process and flip-flop kinetics. In dynamics, GLP-1 showed insulinotropic effects (3-fold increase) after IV glucose challenge in a dose-dependent manner. The concentration-response curve was bell-shaped, which was captured using a biphasic two-binding site Adair model. Receptor binding of GLP-1 exhibited high capacity and low affinity kinetics for both binding sites (K(D) = 9.94 × 10(3) pM, K(2) = 1.56 × 10(-4) pM(-1)).

conclusionsThe PK of GLP-1 was linear and bi-exponential and its PD showed glucose-dependent insulinotropic effects. All profiles were captured by the present mechanistic model and the dynamic analysis yields several implications for incretin-related therapies.

Indexed as

Models, BiologicalAnimalsBinding SitesBlood GlucoseDrug Administration RoutesGlucagon-Like Peptide 1GlucoseInsulinKineticsPharmacokineticsProtein BindingRatsRats, Sprague-DawleyBlood GlucoseGlucagon-Like Peptide 1GlucoseInsulin

Identifiers

PMID22179928
PMCPMC3412591
OpenAlexW2012742957

What OpenQuestion holds

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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.