Evidence map›Paper›PMID 17088951›Full record

Trial reportMolecular medicine (Cambridge, Mass.)

Limited dynamic range of immune response gene expression observed in healthy blood donors using RT-PCR.

Kevin McLoughlin, Ken Turteltaub, Danute Bankaitis-Davis, Richard Gerren, Lisa Siconolfi, Kathleen Storm, John Cheronis, David Trollinger, Dennis Macejak, Victor Tryon and 1 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Molecular medicine (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

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  11. Improving power to detect changes in blood miRNA expression by accounting for sources of variability in experimental designs.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Article
  12. Blood-based gene expression signatures of infants and toddlers with autism.Journal of the American Academy of Child and Adolescent Psychiatry · 2012
    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

11 authors at 1 institution in 1 country.

Kevin McLoughlinLawrence Livermore National Laboratory, Livermore, CA, USA.
Ken Turteltaub
Danute Bankaitis-Davis
Richard Gerren
Lisa Siconolfi
Kathleen Storm
John Cheronis
David Trollinger
Dennis Macejak
Victor Tryon
Michael Bevilacqua
Lawrence Livermore National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of quantitative gene expression analysis for the diagnosis, prognosis, and monitoring of disease requires the ability to distinguish pathophysiological changes from natural variations. To characterize these variations in apparently healthy subjects, quantitative real-time PCR was used to measure various immune response genes in whole blood collected from blood bank donors. In a single-time-point study of 131 donors, of 48 target genes, 43 were consistently expressed and 34 followed approximately log-normal distribution. Most transcripts showed a limited dynamic range of expression across subjects. Specifically, 36 genes had standard deviations (SDs) of 0.44 to 0.79 cycle threshold (C(T)) units, corresponding to less than a 3-fold variation in expression. Separately, a longitudinal study of 8 healthy individuals demonstrated a total dynamic range (> 2 standard error units) of 2- to 4-fold in most genes. In contrast, a study of whole blood gene expression in 6 volunteers injected with LPS showed 15 genes changing in expression 10- to 90-fold within 2 to 5 h and returning to within normal range within 21 hours. This work demonstrates that (1) the dynamic range of expression of many immune response genes is limited among healthy subjects; (2) expression levels for most genes analyzed are approximately log-normally distributed; and (3) individuals exposed to an infusion of bacterial endotoxin (lipopolysaccharide), show gene expression profiles that can be readily distinguished from those of a healthy population. These results suggest that normal reference ranges can be established for gene expression assays, providing critical standards for the diagnosis and management of disease.

Indexed as

Blood DonorsGene Expression RegulationHealthAdultAgingFemaleGenetic VariationHumansImmunityLipopolysaccharidesMaleMiddle AgedReverse Transcriptase Polymerase Chain ReactionSex CharacteristicsTime FactorsLipopolysaccharides

Identifiers

PMID17088951
PMCPMC1626595
OpenAlexW2343798847

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.