Evidence map›Paper›PMID 32989926›Full record

ArticleCPT: pharmacometrics & systems pharmacology2020

Application of the Nested Enzyme-Within-Enterocyte (NEWE) Turnover Model for Predicting the Time Course of Pharmacodynamic Effects.

Hiroyuki Takita, Adam S Darwich, Amais Ahmad, Amin Rostami-Hodjegan

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2020. 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

4 authors.

Hiroyuki TakitaCentre for Applied Pharmacokinetics Research, University of Manchester, Manchester, UK.ORCID 0000-0002-4656-4712
Adam S DarwichCentre for Applied Pharmacokinetics Research, University of Manchester, Manchester, UK.ORCID 0000-0001-8218-4306
Amais AhmadCentre for Applied Pharmacokinetics Research, University of Manchester, Manchester, UK.ORCID 0000-0002-8615-3117
Amin Rostami-HodjeganCentre for Applied Pharmacokinetics Research, University of Manchester, Manchester, UK.ORCID 0000-0003-3917-844X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut wall consists of many biological elements, including enterocytes. Rapid turnover, a prominent feature of the enterocytes, has generally been ignored in the development of enterocyte-targeting drugs, although it has a comparable rate to other kinetic rates. Here, we investigated the impact of enterocyte turnover on the pharmacodynamics of enterocyte-targeting drugs by applying a model accounting for turnover of enterocytes and target proteins. Simulations showed that the pharmacodynamics depend on enterocyte lifespan when drug-target affinity is strong and half-life of target protein is long. Interindividual variability of enterocyte lifespan, which can be amplified by disease conditions, has a substantial impact on the variability of response. However, our comprehensive literature search showed that the enterocyte turnover causes a marginal impact on currently approved enterocyte-targeting drugs due to their relatively weak target affinities. This study proposes a model-informed drug development approach for selecting enterocyte-targeting drugs and their optimal dosage regimens.

Indexed as

Administration, OralBiological Variation, PopulationClinical Trials as TopicComputer SimulationDrug CompoundingDrug Delivery SystemsDrug DevelopmentEnterocytesGastrointestinal DiseasesHalf-LifeHumansIntestinal MucosaMolecular Targeted TherapyPharmacokineticsPredictive Value of TestsSensitivity and Specificity

Identifiers

PMID32989926
PMCPMC7679071

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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.