Evidence map›Paper›PMID 33686560›Full record

ArticlePharmaceutical research2021

Modeling Approach to Predict the Impact of Inflammation on the Pharmacokinetics of CYP2C19 and CYP3A4 Substrates.

Florian Simon, Elodie Gautier-Veyret, Aurélie Truffot, Marylore Chenel, Léa Payen, Françoise Stanke-Labesque, Michel Tod

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Florian SimonEA3738, Faculté de médecine de Lyon-Sud, Université de Lyon 1, 69921, Université de Lyon 1, Oullins cedex, France. fsimon.p5@gmail.com.ORCID http://orcid.org/0000-0002-3731-3014
Elodie Gautier-VeyretLaboratoire de Pharmacologie, Pharmacogenetique et Toxicologie, Centre Hospitalier Universitaire des Alpes, 38043, Grenoble, France.
Aurélie TruffotLaboratoire de Pharmacologie, Pharmacogenetique et Toxicologie, Centre Hospitalier Universitaire des Alpes, 38043, Grenoble, France.
Marylore ChenelInstitut de recherches internationales Servier, Direction of clinical PK and pharmacometrics, Suresnes, France.
Léa PayenLaboratoire de biochimie-toxicologie, Centre hospitalier Lyon-Sud, Hospices civils de Lyon, Pierre Bénite, Lyon, France.
Françoise Stanke-LabesqueLaboratoire de Pharmacologie, Pharmacogenetique et Toxicologie, Centre Hospitalier Universitaire des Alpes, 38043, Grenoble, France.
Michel TodEA3738, Faculté de médecine de Lyon-Sud, Université de Lyon 1, 69921, Université de Lyon 1, Oullins cedex, France.
Inserm · FRUniversité Claude Bernard Lyon 1 · FRCentre Hospitalier Universitaire de Grenoble · FRHôpital Lyon Sud · FRServier (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFor decades, inflammation has been considered a cause of pharmacokinetic variability, mainly in relation to the inhibitory effect of pro-inflammatory cytokines on the expression level and activity of cytochrome P450 (CYP). In vitro and clinical studies have shown that two major CYPs, CYP2C19 and CYP3A4, are both impaired. The objective of the present study was to quantify the impact of the inflammatory response on the activity of both CYPs in order to predict the pharmacokinetic profile of their substrates according to systemic C-reactive protein (CRP).

methodsThe relationships between CRP concentration and both CYPs activities were estimated and validated using clinical data first on midazolam then on voriconazole. Finally, clinical data on omeprazole were used to validate the findings. For each substrate, a physiologically based pharmacokinetics model was built using a bottom-up approach, and the relationships between CRP level and CYP activities were estimated by a top-down approach. After incorporating the respective relationships, we compared the predictions and observed drug concentrations.

resultsChanges in pharmacokinetic profiles and parameters induced by inflammation seem to be captured accurately by the models.

conclusionsThese findings suggest that the pharmacokinetics of CYP2C19 and CYP3A4 substrates can be predicted depending on the CRP concentration.

Indexed as

Antifungal AgentsComputer SimulationCytochrome P-450 CYP2C19Cytochrome P-450 CYP3ACytochrome P-450 Enzyme InhibitorsDrug InteractionsHumansInflammationMidazolamModels, BiologicalOmeprazoleVoriconazoleAntifungal AgentsCYP2C19 protein, humanCYP3A4 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP3ACytochrome P-450 Enzyme InhibitorsMidazolamOmeprazoleVoriconazoleCRPCYP2C19CYP3A4genotypeInflammationPBPK

Identifiers

PMID33686560
OpenAlexW3134088560

What Socratic 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 Socratic graph.