Evidence map›Paper›PMID 26562440›Full record

ReviewCurrent opinion in pharmacology2016

Gene expression profiling in stroke: relevance of blood-brain interaction.

Shinichi Asano, Paul D Chantler, Taura L Barr

Abstract readReview
In one paragraph

Review in Current opinion in pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Molecular heterogeneity in human stroke - What can we learn from the peripheral blood transcriptome?Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Blood-Brain Barrier Mechanisms in Stroke and Trauma.Handbook of experimental pharmacology · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. The intracerebral hemorrhage blood transcriptome in humans differs from the ischemic stroke and vascular risk factor control blood transcriptomes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Article
  15. Late Breaking Abstracts.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Article
  16. Review
  17. Article
  18. 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

3 authors at 1 institution in 1 country.

Shinichi AsanoDivision of Exercise Physiology, West Virginia University, Morgantown, WV, USA; Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, USA.
Paul D ChantlerDivision of Exercise Physiology, West Virginia University, Morgantown, WV, USA; Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, USA; Clinical and Translational Sciences Institute, West Virginia University, Morgantown, WV, USA.
Taura L BarrSchool of Nursing, West Virginia University, Morgantown, WV, USA; Center for Neuroscience, Morgantown, WV, USA; Center for Basic and Translational Stroke Research, Morgantown, WV, USA. Electronic address: tlbarr@hsc.wvu.edu.
West Virginia University · US

Funding

West Virginia University Stroke COBREP20GM109098 · NIGMS · WEST VIRGINIA UNIVERSITY · PI HRUSKA, MARTIN · 2014 to 2024
$24.5M
NIGMS NIH HHS 5P20GM109098NIGMS NIH HHS P20 GM109098
6 · The paper itself

Abstract

Biomarker profiling is utilized to identify diagnostic and prognostic candidates for stroke. Clinical and preclinical biomarker data suggest altered circulating immune responses may illuminate the mechanisms of stroke recovery. However, the relationship between peripheral blood biomarker profile(s) and brain profiles following stroke remains elusive. Data show that neutrophil lymphocyte ratio (NLR) predicts stroke outcome. Neutrophils release Arginase 1 (ARG1) resulting in T lymphocyte suppression in peripheral blood. Interestingly, the cellular response to stroke may have implications for known biomarker profiles. Conversely, preclinical evidence suggests that upregulation of ARG1 in microglia is a marker of M2 macrophages and may influence neuroprotection. Comparing clinical and preclinical studies creates opportunities to explore the molecular mechanisms of blood and brain biomarker interactions in stroke.

Indexed as

Gene Expression ProfilingAnimalsBrainHumansMicroRNAsProteomicsStrokeMicroRNAs

Identifiers

PMID26562440
PMCPMC4716875
OpenAlexW2099104399

What OpenQuestion holds

Textmetadata
LicenceTDM
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.