Evidence map›Paper›PMID 25135788›Full record

ArticleGenomics2014

Expression profile based gene clusters for ischemic stroke detection.

Mateusz G Adamski, Yan Li, Erin Wagner, Hua Yu, Chloe Seales-Bailey, Steven A Soper, Michael Murphy, Alison E Baird

Abstract read
In one paragraph

Article in Genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
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  9. Review
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  11. Article
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  15. Article
  16. Acute Stroke Biomarkers: Are We There Yet?Frontiers in neurology · 2021
    Review
  17. Article
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  19. Article
  20. An Updated Review of Lysophosphatidylcholine Metabolism in Human Diseases.International journal of molecular sciences · 2019
    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

8 authors.

Mateusz G AdamskiDepartment of Neurology, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY 11203, USA; Department of Neurology, Jagiellonian University Medical College, ul. Botaniczna 3, Krakow 31-501, Poland.
Yan LiDepartment of Neurology, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY 11203, USA.
Erin WagnerDepartment of Neurology, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY 11203, USA.
Hua YuDepartment of Neurology, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY 11203, USA.
Chloe Seales-BaileyDepartment of Neurology, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY 11203, USA.
Steven A SoperDepartment of Biomedical Engineering, University of North Carolina, 220 E Cameron Ave., Chapel Hill, NC 27514, USA; Department of Chemistry, University of North Carolina, 220 E Cameron Ave., Chapel Hill, NC27514, USA.
Michael MurphyDepartment of Mechanical Engineering, Louisiana State University, 3357 Highland Rd., Baton Rouge, LA 70802, USA.
Alison E BairdDepartment of Neurology, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY 11203, USA. Electronic address: alison.baird@downstate.edu.

Funding

spFRET for Expression Profiling mRNA: Discovering Markers for Stroke DiagnosisR01EB010087 · NIBIB · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI BAIRD, ALISON E, SOPER, STEVEN ALLAN · 2011 to 2014
$2.5M
NIBIB NIH HHS R01 EB010087
6 · The paper itself

Abstract

In microarray studies alterations in gene expression in circulating leukocytes have shown utility for ischemic stroke diagnosis. We studied forty candidate markers identified in three gene expression profiles to (1) quantitate individual transcript expression, (2) identify transcript clusters and (3) assess the clinical diagnostic utility of the clusters identified for ischemic stroke detection. Using high throughput next generation qPCR 16 of the 40 transcripts were significantly up-regulated in stroke patients relative to control subjects (p<0.05). Six clusters of between 5 and 7 transcripts were identified that discriminated between stroke and control (p values between 1.01e-9 and 0.03). A 7 transcript cluster containing PLBD1, PYGL, BST1, DUSP1, FOS, VCAN and FCGR1A showed high accuracy for stroke classification (AUC=0.854). These results validate and improve upon the diagnostic value of transcripts identified in microarray studies for ischemic stroke. The clusters identified show promise for acute ischemic stroke detection.

Indexed as

Multigene FamilyTranscriptomeADP-ribosyl CyclaseAgedAged, 80 and overAntigens, CDBiomarkersBrain IschemiaCase-Control StudiesDual Specificity Phosphatase 1FemaleGene Expression ProfilingGlycogen Phosphorylase, Liver FormGPI-Linked ProteinsHumansMaleADP-ribosyl CyclaseADP-ribosyl cyclase 2Antigens, CDBiomarkersDual Specificity Phosphatase 1DUSP1 protein, humanFCGR1A protein, humanGlycogen Phosphorylase, Liver FormGPI-Linked ProteinsPhospholipase Dphospholipase D1Proto-Oncogene Proteins c-fosReceptors, IgGRNA, MessengerVCAN protein, humanVersicansBiomarkerGene expressionqPCRStrokeTranscriptome

Identifiers

PMID25135788
PMCPMC4196244

What OpenQuestion holds

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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.