Evidence map›Paper›PMID 28712300›Full record

ArticleMolecular pharmaceutics2017

Continuous Intestinal Absorption Model Based on the Convection-Diffusion Equation.

Swati Nagar, Richard C Korzekwa, Ken Korzekwa

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Physiologically based pharmacokinetic modeling of small molecules: How much progress have we made?Drug metabolism and disposition: the biological fate of chemicals · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Prediction of Drug Clearance from Enzyme and Transporter Kinetics.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  11. 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.

Swati NagarDepartment of Pharmaceutical Sciences, Temple University School of Pharmacy , Philadelphia, Pennsylvania 19140, United States.
Richard C KorzekwaDepartment of Physics, University of Texas , Austin, Texas 78712, United States.
Ken KorzekwaDepartment of Pharmaceutical Sciences, Temple University School of Pharmacy , Philadelphia, Pennsylvania 19140, United States.ORCID 0000-0002-7119-9200

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
Improving prediction of drug interactions mediated by time-dependent inhibitorsR01GM114369 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI KORZEKWA, KENNETH RAY, NAGAR, SWATI · 2016 to 2023
$3.2M
NIGMS NIH HHS R01 GM104178NIGMS NIH HHS R01 GM114369
6 · The paper itself

Abstract

Prediction of the rate and extent of drug absorption upon oral dosing needs models that capture the complexities of both the drug molecule and intestinal physiology. We report here the development of a continuous intestinal absorption model based on the convection-diffusion equation. The model includes explicit enterocyte apical membrane and intracellular lipid radial compartments along the length of the intestine. Physiologic functions along length x are built into the model and include velocity, diffusion, surface areas, and pH of the intestine. Also included are expression levels of the intestinal active uptake transporter OATP2B1 and efflux transporter P-gp. Oral dosing of solution as well as solid (with a dissolution function) was modeled for several drugs. The fraction absorbed (FA) and concentration-time (C-t) profiles were predicted and compared with clinical data. Overall, FA was well predicted upon oral (n = 21) or colonic dosing (n = 11), with four outliers. The overall accuracy (prediction of the correct bin) was 81% with outliers and 90% without outliers. Of the nine solution dosing data sets, six drugs were very well predicted with an exposure overlap coefficient (EOC) > 0.9 and predicted C

Indexed as

Intestinal AbsorptionAnimalsATP Binding Cassette Transporter, Subfamily B, Member 1HumansModels, TheoreticalOrganic Anion TransportersATP Binding Cassette Transporter, Subfamily B, Member 1Organic Anion Transportersintestinal absorptionmodelingpharmacokineticstransporter

Identifiers

PMID28712300
PMCPMC5627780

What OpenQuestion holds

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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.