Evidence map›Paper›PMID 34602306›Full record

ReviewTrends in pharmacological sciences2021

Assembling the P450 puzzle: on the sources of nonadditivity in drug metabolism.

Dmitri R Davydov, Bhagwat Prasad

Abstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

2 authors.

Dmitri R DavydovDepartment of Chemistry, Washington State University, Pullman, WA 99164, USA. Electronic address: d.davydov@wsu.edu.
Bhagwat PrasadDepartment of Pharmaceutical Sciences, Washington State University, Spokane, WA 99202, USA.

Funding

Non-canonical Role of Ethanol-Inducible Cytochrome P450 Species in Alcohol-Drug Interactions and Alcohol-Related DisordersR21AA024548 · NIAAA · WASHINGTON STATE UNIVERSITY · PI DAVYDOV, DMITRI R, JONES, JEFFREY P · 2018 to 2019
$402k
NIAAA NIH HHS R21 AA024548
6 · The paper itself

Abstract

There is an increasing number of indications of an oversimplification in the premise that the cumulative properties of the human drug-metabolizing ensemble represent a simple aggregate of the properties of the constituting enzymes. Recent studies of the functional effects of hetero-association of multiple cytochrome P450 species and their interactions with metabolically related enzymes revealed a tight integration in the drug-metabolizing ensemble. In our opinion, the sources of interindividual variability in drug metabolism can be elucidated only when considering this ensemble as a multienzyme system, the functional parameters of which are determined by interactions between its constituents. In this article, we present a conceptual model providing a mechanistic explanation for the functional effects of the interactions between multiple P450 species and propose a clue to understanding the nonadditive behavior of the drug-metabolizing ensemble.

Indexed as

Cytochrome P-450 Enzyme SystemHumansCytochrome P-450 Enzyme Systemcytochrome P450drug metabolismhuman liver microsomesP450–P450 interactionsPBPK

Identifiers

PMID34602306
PMCPMC8595691

What OpenQuestion holds

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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.