Evidence map›Paper›PMID 17984051›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2007

Blood gene expression signatures predict exposure levels.

P R Bushel, A N Heinloth, J Li, L Huang, J W Chou, G A Boorman, D E Malarkey, C D Houle, S M Ward, R E Wilson and 5 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
16.4field-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

45 citing papers in PubMed, 120 citations in OpenAlex.

  1. Gene expression profiles in peripheral blood mononuclear cells of Chinese nickel refinery workers with high exposures to nickel and control subjects.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Trial
  2. Article
  3. Article
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  5. Article
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  8. Transcriptomics in toxicology.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2017
    Review
  9. Article
  10. Article
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  14. Article
  15. Review
  16. Article
  17. Blood transcriptomics: applications in toxicology.Journal of applied toxicology : JAT · 2013
    Review
  18. Article
  19. Identification and characterization of adverse effects in 21st century toxicology.Toxicological sciences : an official journal of the Society of Toxicology · 2012
    Article
  20. 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

15 authors at 6 institutions in 1 country.

P R BushelBiostatistics Branch, Environmental Stress and Cancer Group, Environmental Toxicology Program, Microarray Group, **Cancer Biology Group, National Institute of Environmental Health Sciences, P.O. Box 12233, Research Triangle Park, NC 27709.
A N Heinloth
J Li
L Huang
J W Chou
G A Boorman
D E Malarkey
C D Houle
S M Ward
R E Wilson
R D Fannin
M W Russo
P B Watkins
R W Tennant
R S Paules
National Institutes of Health · USSociety of Environmental Toxicology and Chemistry · USCancer Research And Biostatistics · USUniversity of North Carolina at Chapel Hill · USExperimental Pathology Laboratories · USNational Institute of Environmental Health Sciences · US

Funding

CMPB Central Pathology SupportZ01ES102505 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SILLS, ROBERT · 2008 to 2008
$5.7M
Microarray and Genome InformaticsZ01ES102345 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BUSHEL, PIERRE · 2007 to 2008
$2.5M
Gene Expression and MicroarraysZ01ES102445 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PAULES, RICHARD · 2008 to 2008
$1.8M
Microarray Tech / Understanding Environmental AgentsZ01ES023026 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PAULES, RICHARD S · 1999 to 2008
$688k
EVALUATION OF TRANSGENIC RODENT MODELSN01ES095442 · NIEHS · INTEGRATED LABORATORY SYSTEMS, INC. · PI GOLDSWORTHY, THOMAS L · 1999 to 1999
–
Intramural NIH HHSNIEHS NIH HHS N01 ES025497NIEHS NIH HHS N01 ES035513NIEHS NIH HHS N01 ES095442
6 · The paper itself

Abstract

To respond to potential adverse exposures properly, health care providers need accurate indicators of exposure levels. The indicators are particularly important in the case of acetaminophen (APAP) intoxication, the leading cause of liver failure in the U.S. We hypothesized that gene expression patterns derived from blood cells would provide useful indicators of acute exposure levels. To test this hypothesis, we used a blood gene expression data set from rats exposed to APAP to train classifiers in two prediction algorithms and to extract patterns for prediction using a profiling algorithm. Prediction accuracy was tested on a blinded, independent rat blood test data set and ranged from 88.9% to 95.8%. Genomic markers outperformed predictions based on traditional clinical parameters. The expression profiles of the predictor genes from the patterns extracted from the blood exhibited remarkable (97% accuracy) transtissue APAP exposure prediction when liver gene expression data were used as a test set. Analysis of human samples revealed separation of APAP-intoxicated patients from control individuals based on blood expression levels of human orthologs of the rat discriminatory genes. The major biological signal in the discriminating genes was activation of an inflammatory response after exposure to toxic doses of APAP. These results support the hypothesis that gene expression data from peripheral blood cells can provide valuable information about exposure levels, well before liver damage is detected by classical parameters. It also supports the potential use of genomic markers in the blood as surrogates for clinical markers of potential acute liver damage.

Indexed as

BloodGene ExpressionAcetaminophenAlanine TransaminaseAlgorithmsAnimalsLeukocyte CountL-Iditol 2-DehydrogenaseMaleRatsRats, Inbred F344AcetaminophenAlanine TransaminaseL-Iditol 2-Dehydrogenase

Identifiers

PMID17984051
PMCPMC2084322
OpenAlexW2055082479

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.