Evidence map›Paper›PMID 38353248›Full record

ArticlePharmaceutical biology2024

Physcion inhibition of CYP2C9, 2D6 and 3A4 in human liver microsomes.

Lu Liu, Sen Sun, Xiaohua Li

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmaceutical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Lu LiuDepartment of Endocrine, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.
Sen SunDepartment of Anesthesiology, Shanghai Pulmonary Hospital, Shanghai, PR China.
Xiaohua LiDepartment of Endocrine, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.
Shanghai University of Traditional Chinese Medicine · CNShanghai Pulmonary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe effect of the active ingredients in traditional Chinese medicines on the activity of cytochrome P450 enzymes (CYP450s) is a critical factor that should be considered in TCM prescriptions. Physcion, the major active ingredient of

objectivesThe effect of physcion on CYP450 activity was investigated to provide a theoretical basis for use. MATERIALS AND

methodsThe experiments were conducted in pooled human liver microsomes (HLMs). The activity of CYP450 isoforms was evaluated with corresponding substrates and probe reactions. Blank HLMs were set as negative controls, and typical inhibitors were employed as positive controls. The inhibition model was fitted with Lineweaver Burk plots. The concentration (0, 2.5, 5, 10, 25, 50 and 100 μM physcion) and time-dependent (0, 5, 10, 15 and 30 min) effects of physcion were also assessed.

resultsPhyscion suppressed CYP2C9, 2D6 and 3A4 in a concentration-dependent manner with IC

conclusionsThe inhibition of CYP450s by physcion should be considered in its clinical prescription, and the study design can be employed to evaluate the interaction of CYP450s with other herbs.

Indexed as

Cytochrome P-450 CYP3AMicrosomes, LiverCytochrome P-450 CYP2C9Cytochrome P-450 Enzyme InhibitorsCytochrome P-450 Enzyme SystemEmodinHumansCYP2C9 protein, humanCytochrome P-450 CYP2C9Cytochrome P-450 CYP3ACytochrome P-450 Enzyme InhibitorsCytochrome P-450 Enzyme SystemEmodinphyscionecompetitive inhibitionCYP450 isoformsnon-competitive inhibitionRhubarbtime-dependent

Identifiers

PMID38353248
PMCPMC10868446
OpenAlexW4391822542

What OpenQuestion holds

Textmetadata
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.