Evidence map›Paper›PMID 24097307›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2013

A mechanistic pharmacodynamic model of IRAK-4 drug inhibition in the Toll-like receptor pathway.

Ryan P Nolan, Andrea G Bree, Anup Zutshi

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Article in Journal of pharmacokinetics and pharmacodynamics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ryan P NolanPharmacokinetics, Dynamics, and Metabolism, Pfizer Global Research and Development, 200 Cambridge Park Drive, Cambridge, MA, 02140, USA.
Andrea G Bree
Anup Zutshi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The TLR pathway has been implicated in the pathogenesis of numerous diseases. IRAK-4 is integral to this pathway, making it a viable target for therapeutic intervention. This paper describes the application of a mechanistic pharmacodynamic model to assess the impact of IRAK-4 inhibition on the TLR-4 pathway. The model uses a minimal number of rate equations, molecular species, and parameters to characterize TLR signal transduction biology, including ligand-receptor interaction, protein complex formation, protein phosphorylation, negative regulation, and cytokine production. The model successfully reproduces the dynamic responses of TNFα to LPS stimulation, the tolerance to sequential LPS bolus dosing, the burst following a LPS bolus or infusion, and the modulation of pathway biomarkers following administration of an IRAK-4 inhibitor. Drug dosing schemes are evaluated for simulated disease states. The results emphasize the significance of LPS kinetics on response dynamics and the utility of a mechanistic model to help translate drug efficacy.

Indexed as

AnimalsDose-Response Relationship, DrugHumansInterleukin-1 Receptor-Associated KinasesLipopolysaccharidesSignal TransductionToll-Like ReceptorsTumor Necrosis Factor-alphaInterleukin-1 Receptor-Associated KinasesLipopolysaccharidesToll-Like ReceptorsTumor Necrosis Factor-alpha

Identifiers

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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.