Evidence map›Paper›PMID 31131437›Full record

ReviewClinical pharmacokinetics2019

Phenotyping of Human CYP450 Enzymes by Endobiotics: Current Knowledge and Methodological Approaches.

Gaëlle Magliocco, Aurélien Thomas, Jules Desmeules, Youssef Daali

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical pharmacokinetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Guideline
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  6. Review
  7. Article
  8. Journal of traditional and complementary medicine · 2025
    Article
  9. Article
  10. Novel Approaches to Characterize Individual Drug Metabolism and Advance Precision Medicine.Drug metabolism and disposition: the biological fate of chemicals · 2023
    Review
  11. Review
  12. Article
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  15. Review
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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

4 authors at 2 institutions in 1 country.

Gaëlle MaglioccoDivision of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.
Aurélien ThomasUnit of Toxicology, CURML, Lausanne-Geneva, Switzerland.
Jules DesmeulesDivision of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.
Youssef DaaliDivision of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland. youssef.daali@hcuge.ch.ORCID 0000-0002-7497-5359
University of Geneva · CHUniversity Centre of Legal Medicine · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug response is subject to an important within- and between-individual variability owing, mainly, to pharmacokinetic and pharmacodynamic factors. Pharmacokinetics includes metabolism by cytochrome P450 (CYP450), major enzymes of phase I reactions that are responsible for the biotransformation of around 60% of the currently approved drugs. CYP450 activity and/or expression are influenced by multiple intrinsic and extrinsic factors, such as drug-drug interactions or genetic polymorphisms. Present phenotyping strategies with xenobiotics used to assess CYP450 activity could be replaced by less invasive procedures using endogenous CYP450 biomarkers. In this work, we review existing knowledge on endobiotics and their ability to characterise variability of the CYP1A2, CYP2C19, CYP2D6 and CYP3A enzymes in humans. To date, it appears that there is a lack of clinical data for the majority of the endogenous compounds described in the literature or some important limitations to allow their use in clinical practice. Additional studies are needed to fill the gap or to identify new candidates, in particular through the use of metabolomics. The use of multivariate models is also a very promising approach to enhance prediction by combining several endogenous phenotyping metrics and other covariates.

Indexed as

BiomarkersCytochrome P-450 Enzyme SystemHumansPhenotypeBiomarkersCytochrome P-450 Enzyme System

Identifiers

PMID31131437
OpenAlexW2946838474

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.