Evidence map›Paper›PMID 19100306›Full record

ArticleFood and chemical toxicology : an international journal published for the British Industrial Biological Research Association2009

Analysis of gene expression changes of drug metabolizing enzymes in the livers of F344 rats following oral treatment with kava extract.

Lei Guo, Quanzhen Li, Qingsu Xia, Stacey Dial, Po-Chuen Chan, Peter Fu

Abstract read
In one paragraph

Article in Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
18.3field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 52 citations in OpenAlex.

  1. Review
  2. Characterization of cytochrome P450s (CYP)-overexpressing HepG2 cells for assessing drug and chemical-induced liver toxicity.Journal of environmental science and health. Part C, Toxicology and carcinogenesis · 2021
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Hepatotoxicity Induced by "the 3Ks": Kava, Kratom and Khat.International journal of molecular sciences · 2016
    Review
  8. Article
  9. Article
  10. Sertraline, an antidepressant, induces apoptosis in hepatic cells through the mitogen-activated protein kinase pathway.Toxicological sciences : an official journal of the Society of Toxicology · 2014
    Article
  11. Endoplasmic reticulum stress in drug- and environmental toxicant-induced liver toxicity.Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews · 2014
    Review
  12. Article
  13. Methysticin and 7,8-dihydromethysticin are two major kavalactones in kava extract to induce CYP1A1.Toxicological sciences : an official journal of the Society of Toxicology · 2011
    Article
  14. Liver toxicity and carcinogenicity in F344/N rats and B6C3F1 mice exposed to Kava Kava.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2011
    Article
  15. Article
  16. Article
  17. Article
  18. Gene expression profiling in male B6C3F1 mouse livers exposed to kava identifies--changes in drug metabolizing genes and potential mechanisms linked to kava toxicity.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2010
    Article
  19. Gene expression profiling as an initial approach for mechanistic studies of toxicity and tumorigenicity of herbal plants and herbal dietary supplements.Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews · 2010
    Review
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

6 authors at 4 institutions in 1 country.

Lei GuoDivision of Systems Toxicology, National Center for Toxicological Research, FDA, 3900 NCTR Road, Jefferson, AR 72079, USA. lei.guo@fda.hhs.gov
Quanzhen Li
Qingsu Xia
Stacey Dial
Po-Chuen Chan
Peter Fu
National Center for Toxicological Research · USSouthwestern Medical Center · USTriangle · USUnited States Food and Drug Administration · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

The association of kava product use with liver-related risks has prompted regulatory action in many countries. We studied the changes in gene expression of drug metabolizing enzymes in the livers of Fischer 344 male rats administered kava extract by gavage for 14 weeks. Analysis of 22,226 genes revealed that there were 14, 41, 110, 386, and 916 genes significantly changed in the 0.125, 0.25, 0.5, 1.0, and 2.0 g/kg treatment groups, respectively. There were 16 drug metabolizing genes altered in all three high-dose treatment groups, among which seven genes belong to cytochrome P450 isozymes. While gene expression of Cyp1a1, 1a2, 2c6, 3a1, and 3a3 increased; Cyp 2c23 and 2c40 decreased, all in a dose-dependent manner. Real-time PCR analyses of several genes verified these results. Our results indicate that kava extract can significantly modulate drug metabolizing enzymes, particularly the CYP isozymes, which could cause herb-drug interactions and may potentially lead to hepatotoxicity.

Indexed as

AnimalsCytochrome P-450 Enzyme SystemDietary SupplementsDose-Response Relationship, DrugGene Expression Regulation, EnzymologicInactivation, MetabolicKavaLiverMaleOligonucleotide Array Sequence AnalysisPlant ExtractsRatsRats, Inbred F344Reverse Transcriptase Polymerase Chain ReactionRNA, MessengerCytochrome P-450 Enzyme SystemPlant ExtractsRNA, Messenger

Identifiers

PMID19100306
PMCPMC5744584
OpenAlexW1995407409

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.