Evidence map›Paper›PMID 27048750›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2016

RNA Sequencing Quantification of Xenobiotic-Processing Genes in Various Sections of the Intestine in Comparison to the Liver of Male Mice.

Zidong Donna Fu, Felcy Pavithra Selwyn, Julia Yue Cui, Curtis D Klaassen

Open access · bronzeAbstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.7field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  3. High-quality genome ofiScience · 2023
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  7. Adipose Tissue and Endocrine-Disrupting Chemicals: Does Sex Matter?International journal of environmental research and public health · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. RNA-Seq Profiling of Intestinal Expression of Xenobiotic Processing Genes in Germ-Free Mice.Drug metabolism and disposition: the biological fate of chemicals · 2017
    Article
  14. Differential regulation of intestinal efflux transporters by pregnancy in mice.Xenobiotica; the fate of foreign compounds in biological systems · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. 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

4 authors at 1 institution in 1 country.

Zidong Donna FuDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington.
Felcy Pavithra SelwynDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington.
Julia Yue CuiDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington.
Curtis D KlaassenDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington curtisklaassenphd@gmail.com.
University of Washington · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI ALI SHOJAIE · 1995 to 2026
$42.5M
Developmental Regulation of Drug Processing GenesR01ES019487 · NIEHS · UNIVERSITY OF WASHINGTON · PI CUI, JULIA YUE, LU, HONG · 2010 to 2014
$3.0M
Epigenetic Regulation of Drug Metabolism by Developmental Exposure to PBDEsR01ES025708 · NIEHS · UNIVERSITY OF WASHINGTON · PI CUI, JULIA YUE · 2015 to 2019
$1.7M
Developmental Regulation of Drug Metabolism by Targeting the Gut MicrobiomeR01GM111381 · NIGMS · UNIVERSITY OF WASHINGTON · PI CUI, JULIA YUE · 2014 to 2018
$1.5M
NIEHS NIH HHS P30 ES007033NIEHS NIH HHS R01 ES019487NIEHS NIH HHS R01 ES025708NIGMS NIH HHS R01 GM111381
6 · The paper itself

Abstract

Previous reports on tissue distribution of xenobiotic-processing genes (XPGs) have limitations, because many non-cytochrome P450 phase I enzymes have not been investigated, and one cannot compare the real mRNA abundance of multiple XPGs using conventional quantification methods. Therefore, this study aimed to quantify and compare the mRNA abundance of all major XPGs in the liver and intestine using RNA sequencing. The mRNA profiles of 304 XPGs, including phase I, phase II enzymes, phase II cosubstrate synthetic enzymes, xenobiotic transporters, as well as xenobiotic-related transcription factors, were systematically examined in the liver and various sections of the intestine in adult male C57BL/6J mice. By two-way hierarchical clustering, over 80% of the XPGs had tissue-divergent expression, which partitioned into liver-predominant, small intestine-predominant, and large intestine-predominant patterns. Among the genes, 54% were expressed highest in the liver, 21% in the duodenum, 4% in the jejunum, 6% in the ileum, and 15% in the large intestine. The highest-expressed XPG in the liver was Mgst1; in the duodenum, Cyp3a11; in the jejunum and ileum, Ces2e; and in the large intestine, Cyp2c55. Interestingly, XPGs in the same family usually exhibited highly different tissue distribution patterns, and many XPGs were almost exclusively expressed in one tissue and minimally expressed in others. In conclusion, the present study is among the first and the most comprehensive investigations of the real mRNA abundance and tissue-divergent expression of all major XPGs in mouse liver and intestine, which aids in understanding the tissue-specific biotransformation and toxicity of drugs and other xenobiotics.

Indexed as

AnimalsIntestine, LargeIntestine, SmallLiverMaleMiceMice, Inbred C57BLPseudogenesRNA, MessengerSequence Analysis, RNAXenobioticsRNA, MessengerXenobiotics

Identifiers

PMID27048750
PMCPMC4885488
OpenAlexW2329491741

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.