Evidence map›Paper›PMID 18199522›Full record

ReviewAdvanced drug delivery reviews2008

Predicting drug disposition, absorption/elimination/transporter interplay and the role of food on drug absorption.

Joseph M Custodio, Chi-Yuan Wu, Leslie Z Benet

Open access · greenAbstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 1% 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

110 citing papers in PubMed, 1 synthesis or guideline pooled it, 425 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Article
  13. Article
  14. Article
  15. Biological sex differences in pharmacokinetics and adverse drug reactions.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review

50 more citing papers are in PubMed but not listed here.

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.

Joseph M CustodioDepartment of Biopharmaceutical Sciences, University of California, San Francisco, San Francisco, California 94143-0446, USA.
Chi-Yuan Wu
Leslie Z Benet
University of California, San Francisco · US

Funding

Maximizing Opportunities for Research Excellence - Evaluation Training SupplementR25GM056847 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUNCAN, D'ANNE S., SELLO, JASON K · 1998 to 2023
$14.1M
Transporter-Enzyme Interplay Evaluation via Microfluidiic HTS Cell Culture DeviceR21GM075900 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BENET, LESLIE Z · 2006 to 2008
$1.1M
NIGMS NIH HHS GM56847NIGMS NIH HHS GM75900NIGMS NIH HHS R21 GM075900NIGMS NIH HHS R25 GM056847
6 · The paper itself

Abstract

The ability to predict drug disposition involves concurrent consideration of many chemical and physiological variables and the effect of food on the rate and extent of availability adds further complexity due to postprandial changes in the gastrointestinal (GI) tract. A system that allows for the assessment of the multivariate interplay occurring following administration of an oral dose, in the presence or absence of meal, would greatly benefit the early stages of drug development. This is particularly true in an era when the majority of new molecular entities are highly permeable, poorly soluble, extensively metabolized compounds (BDDCS Class 2), which present the most complicated relationship in defining the impact of transporters due to the marked effects of transporter-enzyme interplay. This review evaluates the GI luminal environment by taking into account the absorption/transport/elimination interplay and evaluates the physiochemical property issues by taking into account the importance of solubility, permeability and metabolism. We concentrate on the BDDCS and its utility in predicting drug disposition. Furthermore, we focus on the effect of food on the extent of drug availability (F), which appears to follow closely what might be expected if a significant effect of high fat meals is inhibition of transporters. That is, high fat meals and lipidic excipients would be expected to have little effect on F for Class 1 drugs; they would increase F of Class 2 drugs, while decreasing F for Class 3 drugs.

Indexed as

Food-Drug InteractionsAdministration, OralBiological AvailabilityBiological TransportDietary FatsForecastingGastrointestinal TractHumansModels, BiologicalPharmaceutical PreparationsPharmacokineticsSolubilityDietary FatsPharmaceutical Preparations

Identifiers

PMID18199522
PMCPMC2292816
OpenAlexW2171654601

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.