Evidence map›Paper›PMID 23637747›Full record

ArticlePloS one2013

Gene expression variability in human hepatic drug metabolizing enzymes and transporters.

Lun Yang, Elvin T Price, Ching-Wei Chang, Yan Li, Ying Huang, Li-Wu Guo, Yongli Guo, Jim Kaput, Leming Shi, Baitang Ning

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  16. Evaluation of a novel PXR-knockout in HepaRGPharmacology research & perspectives · 2016
    Article
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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

10 authors.

Lun YangDivision of Systems Biology, National Center for Toxicological Research, Food and Drug Administration, Jefferson, Arkansas, United States of America.
Elvin T Price
Ching-Wei Chang
Yan Li
Ying Huang
Li-Wu Guo
Yongli Guo
Jim Kaput
Leming Shi
Baitang Ning

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interindividual variability in the expression of drug-metabolizing enzymes and transporters (DMETs) in human liver may contribute to interindividual differences in drug efficacy and adverse reactions. Published studies that analyzed variability in the expression of DMET genes were limited by sample sizes and the number of genes profiled. We systematically analyzed the expression of 374 DMETs from a microarray data set consisting of gene expression profiles derived from 427 human liver samples. The standard deviation of interindividual expression for DMET genes was much higher than that for non-DMET genes. The 20 DMET genes with the largest variability in the expression provided examples of the interindividual variation. Gene expression data were also analyzed using network analysis methods, which delineates the similarities of biological functionalities and regulation mechanisms for these highly variable DMET genes. Expression variability of human hepatic DMET genes may affect drug-gene interactions and disease susceptibility, with concomitant clinical implications.

Indexed as

TranscriptomeCarrier ProteinsEnzymesGene Regulatory NetworksHumansLiverPharmaceutical PreparationsPrecision MedicineReceptors, Cytoplasmic and NuclearCarrier ProteinsEnzymesPharmaceutical PreparationsReceptors, Cytoplasmic and Nuclear

Identifiers

PMID23637747
PMCPMC3634068

What OpenQuestion holds

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Registered trials

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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.