Evidence map›Paper›PMID 26895020›Full record

ReviewClinical pharmacokinetics2016

Predicting Drug Extraction in the Human Gut Wall: Assessing Contributions from Drug Metabolizing Enzymes and Transporter Proteins using Preclinical Models.

Sheila Annie Peters, Christopher R Jones, Anna-Lena Ungell, Oliver J D Hatley

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical pharmacokinetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
13.6field-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

37 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. A primary human Gut/Liver microphysiological system to estimate human oral bioavailability.Drug metabolism and disposition: the biological fate of chemicals · 2025
    Article
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  20. Evaluation of Barrier Functions in Human iPSC-Derived Intestinal Epithelium.Methods in molecular biology (Clifton, N.J.) · 2021
    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

4 authors at 4 institutions in 3 countries.

Sheila Annie PetersTranslational Quantitative Pharmacology, BioPharma, R&D Global Early Development, Merck KGaA, Frankfurter Str. 250, F130/005, 64293, Darmstadt, Germany. sheila-annie.peters@merckgroup.com.
Christopher R JonesOncology Innovative Medicines DMPK, AstraZeneca, Alderley Park, UK.
Anna-Lena UngellInvestigative ADME, Non-Clinical Development, UCB New Medicines, BioPharma SPRL, Braine l'Alleud, Belgium.
Oliver J D HatleySimcyp Limited (A Certara Company), Blades Enterprise Centre, Sheffield, UK.
AstraZeneca (United Kingdom) · GBMerck (Germany) · DESimcyp (United Kingdom) · GBUCB Pharma (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intestinal metabolism can limit oral bioavailability of drugs and increase the risk of drug interactions. It is therefore important to be able to predict and quantify it in drug discovery and early development. In recent years, a plethora of models-in vivo, in situ and in vitro-have been discussed in the literature. The primary objective of this review is to summarize the current knowledge in the quantitative prediction of gut-wall metabolism. As well as discussing the successes of current models for intestinal metabolism, the challenges in the establishment of good preclinical models are highlighted, including species differences in the isoforms; regional abundances and activities of drug metabolizing enzymes; the interplay of enzyme-transporter proteins; and lack of knowledge on enzyme abundances and availability of empirical scaling factors. Due to its broad specificity and high abundance in the intestine, CYP3A is the enzyme that is frequently implicated in human gut metabolism and is therefore the major focus of this review. A strategy to assess the impact of gut wall metabolism on oral bioavailability during drug discovery and early development phases is presented. Current gaps in the mechanistic understanding and the prediction of gut metabolism are highlighted, with suggestions on how they can be overcome in the future.

Indexed as

Models, BiologicalAnimalsAnimals, Genetically ModifiedArea Under CurveATP-Binding Cassette TransportersCytochrome P-450 CYP3ADrug InteractionsEnterocytesFood-Drug InteractionsGlucuronosyltransferaseHumansHydrogen-Ion ConcentrationIntestinal AbsorptionIntestinal MucosaMetabolic Clearance RateModels, AnimalATP-Binding Cassette TransportersCytochrome P-450 CYP3AGlucuronosyltransferaseSulfotransferases

Identifiers

PMID26895020
PMCPMC4875961
OpenAlexW2278038865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.