Evidence map›Paper›PMID 30439964›Full record

ArticlePloS one2018

Hyperacute changes in blood mRNA expression profiles of rats after middle cerebral artery occlusion: Towards a stroke time signature.

Marie Dagonnier, William John Wilson, Jenny Margaret Favaloro, Sarah Susan Jane Rewell, Linda Jane Lockett, Stephen Andrew Sastra, Amy Lucienne Jeffreys, Helen Margaret Dewey, Geoffrey Alan Donnan, David William Howells

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. [Identification of dynamic co-expression networks in peripheral blood of rats after middle cerebral artery occlusion].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2019
    Article
  8. 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

10 authors.

Marie DagonnierThe Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Austin Campus, Heidelberg, Australia.ORCID 0000-0002-0981-4962
William John WilsonThe Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, Australia.
Jenny Margaret FavaloroThe Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Austin Campus, Heidelberg, Australia.
Sarah Susan Jane RewellThe Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Austin Campus, Heidelberg, Australia.
Linda Jane LockettThe Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, Australia.
Stephen Andrew SastraThe Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Austin Campus, Heidelberg, Australia.
Amy Lucienne JeffreysThe Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Austin Campus, Heidelberg, Australia.
Helen Margaret DeweyThe Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Austin Campus, Heidelberg, Australia.
Geoffrey Alan DonnanThe Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Austin Campus, Heidelberg, Australia.ORCID 0000-0001-6324-3403
David William HowellsThe Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Austin Campus, Heidelberg, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke evolution is a highly dynamic but variable disease which makes clinical decision making difficult. Biomarker discovery programs intended to aid clinical decision making have however largely ignored the rapidity of stroke evolution. We have used gene array technology to determine blood mRNA expression changes over the first day after stroke in rats. Blood samples were collected from 8 male spontaneously hypertensive rats at 0, 1, 2, 3, 6 and 24h post stroke induction by middle cerebral artery occlusion. RNA was extracted from whole blood stabilized in PAXgene tubes and mRNA expression was detected by oligonucleotide Affymetrix microarray. Using a pairwise comparison model, 1932 genes were identified to vary significantly over time (p≤0.5x10(-7)) within 24h after stroke. Some of the top20 most changed genes are already known to be relevant to the ischemic stroke physiopathology (e.g. Il-1R, Nos2, Prok2). Cluster analysis showed multiple stereotyped and time dependent profiles of gene expression. Direction and rate of change of expression for some profiles varied dramatically during these 24h. Profiles with potential clinical utility including hyper acute or acute transient upregulation (with expression peaking from 2 to 6h after stroke and normalisation by 24h) were identified. We found that blood gene expression varies rapidly and stereotypically after stroke in rats. Previous researchers have often missed the optimum time for biomarker measurement. Temporally overlapping profiles have the potential to provide a biological "stroke clock" able to tell the clinician how far an individual stroke has evolved.

Indexed as

Gene Expression ProfilingAnimalsBiomarkersInfarction, Middle Cerebral ArteryRatsRNA, MessengerTime FactorsBiomarkersRNA, Messenger

Identifiers

PMID30439964
PMCPMC6237327

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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.