Evidence map›Paper›PMID 32128071›Full record

ArticleJournal of extracellular vesicles2020

Extracellular microRNAs in blood differentiate between ischaemic and haemorrhagic stroke subtypes.

M Yashar S Kalani, Eric Alsop, Bessie Meechoovet, Taylor Beecroft, Komal Agrawal, Timothy G Whitsett, Matthew J Huentelman, Robert F Spetzler, Peter Nakaji, Seungchan Kim and 1 more

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 3 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

52 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients.Translational research : the journal of laboratory and clinical medicine · 2021
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  5. Article
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  7. MicroRNAs in neurodegenerative diseases: from molecular mechanisms to clinical biomarkers, detection methods and therapeutic strategies-advances and challenges.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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.

M Yashar S KalaniDepartments of Neurological Surgery and Neuroscience, University of Virginia School of Medicine, Charlottesville, VA, USA.
Eric AlsopDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ, USA.
Bessie MeechoovetDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ, USA.
Taylor BeecroftDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ, USA.
Komal AgrawalDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ, USA.
Timothy G WhitsettThe Translational Genomics Research Institute, Phoenix, AZ, USA.
Matthew J HuentelmanDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ, USA.
Robert F SpetzlerDepartment of Neurological Surgery, Barrow Neurological Institute, Phoenix, AZ, USA.
Peter NakajiDepartment of Neurosurgery, Banner Heath and University of Arizona College of Medicine, Phoenix, AZ, USA.
Seungchan KimCenter for Computational Systems Biology, Department of Electrical and Computer Engineering, Roy G. Perry College of Engineering, Prairie View A & M University, Prairie View, TX, USA.
Kendall Van Keuren-JensenDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid identification of patients suffering from cerebral ischaemia, while excluding intracerebral haemorrhage, can assist with patient triage and expand patient access to chemical and mechanical revascularization. We sought to identify blood-based, extracellular microRNAs 15 (ex-miRNAs) derived from extracellular vesicles associated with major stroke subtypes using clinical samples from subjects with spontaneous intraparenchymal haemorrhage (IPH), aneurysmal subarachnoid haemorrhage (SAH) and ischaemic stroke due to cerebral vessel occlusion. We collected blood from patients presenting with IPH (n = 19), SAH (n = 17) and ischaemic stroke (n = 21). We isolated extracellular vesicles from plasma, extracted RNA cargo, 20 sequenced the small RNAs and performed bioinformatic analyses to identify ex-miRNA biomarkers predictive of the stroke subtypes. Sixty-seven miRNAs were significantly variant across the stroke subtypes. A subset of exmiRNAs differed between haemorrhagic and ischaemic strokes, and LASSO analysis could distinguish SAH from the other subtypes with an accuracy of 0.972 ± 0.002. Further analyses predicted 25 miRNA classifiers that stratify IPH from ischaemic stroke with an accuracy of 0.811 ± 0.004 and distinguish haemorrhagic from ischaemic stroke with an accuracy of 0.813 ± 0.003. Blood-based, ex-miRNAs have predictive value, and could be capable of distinguishing between major stroke subtypes with refinement and validation. Such a biomarker could one day aid in the triage of patients to expand the pool eligible for effective treatment.

Indexed as

biomarkerextracellular microRNA (ex-miRNA)Intraparenchymal haemorrhage (IPH)ischaemic strokelarge vessel occlusion (LVO)subarachnoid haemorrhage (SAH)

Identifiers

PMID32128071
PMCPMC7034450

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.