Evidence map›Paper›PMID 24019023›Full record

ArticlePharmaceutical research2014

Compartmental models for apical efflux by P-glycoprotein--part 1: evaluation of model complexity.

Swati Nagar, Jalia Tucker, Erica A Weiskircher, Siddhartha Bhoopathy, Ismael J Hidalgo, Ken Korzekwa

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In one paragraph

Article in Pharmaceutical research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-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

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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Mechanisms of P-Glycoprotein Modulation by Semen Strychni Combined with Radix Paeoniae Alba.Evidence-based complementary and alternative medicine : eCAM · 2017
    Article
  9. Intracellular Unbound Atorvastatin Concentrations in the Presence of Metabolism and Transport.The Journal of pharmacology and experimental therapeutics · 2016
    Article
  10. Review
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 at 2 institutions in 1 country.

Swati NagarDepartment of Pharmaceutical Sciences, Temple University School of Pharmacy, 3307 N Broad Street, Philadelphia, Pennsylvania, 19140, USA.
Jalia Tucker
Erica A Weiskircher
Siddhartha Bhoopathy
Ismael J Hidalgo
Ken Korzekwa
Absorption Systems (United States) · USTemple University · US

Funding

Predicting Intracellular Drug Concentrations In The Presence Of TransportersR01GM104178 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Kenneth Ray Korzekwa, Swati Nagar · 2013 to 2026
$4.0M
NIGMS NIH HHS R01 GM104178NIGMS NIH HHS R01GM104178
6 · The paper itself

Abstract

purposeWith the goal of quantifying P-gp transport kinetics, Part 1 of these manuscripts evaluates different compartmental models and Part 2 applies these models to kinetic data.

methodsModels were developed to simulate the effect of apical efflux transporters on intracellular concentrations of six drugs. The effect of experimental variability on model predictions was evaluated. Several models were evaluated, and characteristics including membrane configuration, lipid content, and apical surface area (asa) were varied.

resultsPassive permeabilities from MDCK-MDR1 cells in the presence of cyclosporine gave lower model errors than from MDCK control cells. Consistent with the results in Part 2, model configuration had little impact on calculated model errors. The 5-compartment model was the simplest model that reproduced experimental lag times. Lipid content and asa had minimal effect on model errors, predicted lag times, and intracellular concentrations. Including endogenous basolateral uptake activity can decrease model errors. Models with and without explicit membrane barriers differed markedly in their predicted intracellular concentrations for basolateral drug exposure. Single point data resulted in clearances similar to time course data.

conclusionsCompartmental models are useful to evaluate the impact of efflux transporters on intracellular concentrations. Whereas a 3-compartment model may be sufficient to predict the impact of transporters that efflux drugs from the cell, a 5-compartment model with explicit membranes may be required to predict intracellular concentrations when efflux occurs from the membrane. More complex models including additional compartments may be unnecessary.

Indexed as

AnimalsATP Binding Cassette Transporter, Subfamily B, Member 1Biological TransportCell LineCell MembraneDogsHumansKineticsMadin Darby Canine Kidney CellsMembrane Transport ProteinsMicrosomes, LiverModels, BiologicalPharmaceutical PreparationsATP Binding Cassette Transporter, Subfamily B, Member 1Membrane Transport ProteinsPharmaceutical Preparations

Identifiers

PMID24019023
PMCPMC3946900
OpenAlexW2016129563

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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.