Evidence map›Paper›PMID 36056298›Full record

SynthesisClinical pharmacokinetics2022

Altered Bioavailability and Pharmacokinetics in Crohn's Disease: Capturing Systems Parameters for PBPK to Assist with Predicting the Fate of Orally Administered Drugs.

Sarah Alrubia, Jialin Mao, Yuan Chen, Jill Barber, Amin Rostami-Hodjegan

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Clinical pharmacokinetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

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  17. Virtual twin for healthcare management.Frontiers in digital health · 2023
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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

5 authors at 3 institutions in 2 countries.

Sarah AlrubiaCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK.
Jialin MaoDrug Metabolism and Pharmacokinetics, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Yuan ChenDrug Metabolism and Pharmacokinetics, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Jill BarberCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK.
Amin Rostami-HodjeganCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK. Amin.rostami@manchester.ac.uk.ORCID 0000-0003-3917-844X
King Saud University · SAManchester Academic Health Science Centre · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROND AND

objectiveCrohn's disease (CD) is a chronic inflammatory bowel disease that affects a wide age range. Hence, CD patients receive a variety of drugs over their life beyond those used for CD itself. The changes to the integrity of the intestine and its drug metabolising enzymes and transporters (DMETs) can alter the oral bioavailability of drugs. However, there are other changes in systems parameters determining the fate of drugs in CD, and understanding these is essential for dose adjustment in patients with CD.

methodsThe current analysis gathered all the available clinical data on the kinetics of drugs in CD (by March 2021), focusing on orally administered small molecule drugs. A meta-analysis of the systems parameters affecting oral drug pharmacokinetics was conducted. The systems information gathered on intestine, liver and blood proteins and other physiological parameters was incorporated into a physiologically based pharmacokinetic (PBPK) platform to create a virtual population of CD patients, with a view for guiding dose adjustment in the absence of clinical data in CD.

resultsThere were no uniform trends in the reported changes in reported oral bioavailability. The nature of the drug as well as the formulation affected the direction and magnitude of variation in kinetics in CD patients relative to healthy volunteers. Even for the same drug, the reported changes in exposure varied, possibly due to a lack of distinction between the activity states of CD. The highest alteration was seen with S-verapamil and midazolam, 8.7- and 5.3-fold greater exposure, respectively, in active CD patients relative to healthy volunteers. Only one report was available on liver DMETs in CD, and indicated reduced CYP3A4 activity. In a number of reports, mRNA expression of DMETs in the ileum and colon of CD patients was measured, focussing on P-glycoprotein (p-gp) transporter and CYP3A4 enzyme, and showed contradictory results. No data were available on protein expression in duodenum and jejunum despite their dominant role in oral drug absorption.

conclusionThere are currently inadequate dedicated clinical or quantitative proteomic studies in CD to enable predictive PBPK models with high confidence and adequate verification. The PBPK models for CD with the available systems parameters were able to capture the major physiological influencers and the gaps to be filled by future research. Quantification of DMETs in the intestine and the liver in CD is warranted, alongside well-defined clinical drug disposition studies with a number of index drugs as biomarkers of changes in DMETs in these patients, to avoid large-scale dedicated studies for every drug to determine the effects of disease on the drug's metabolism and disposition and the consequential safety and therapeutic concerns.

Indexed as

Crohn DiseaseAdministration, OralATP Binding Cassette Transporter, Subfamily BBiological AvailabilityCytochrome P-450 CYP3AHumansMembrane Transport ProteinsMidazolamModels, BiologicalProteomicsRNA, MessengerVerapamilATP Binding Cassette Transporter, Subfamily BCytochrome P-450 CYP3AMembrane Transport ProteinsMidazolamRNA, MessengerVerapamil

Identifiers

PMID36056298
PMCPMC9553790
OpenAlexW4294543077

What OpenQuestion holds

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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.