Evidence map›Paper›PMID 33551749›Full record

ArticleFrontiers in cellular neuroscience2020

Semi-Automated Cell and Tissue Analyses Reveal Regionally Specific Morphological Alterations of Immune and Neural Cells in a Porcine Middle Cerebral Artery Occlusion Model of Stroke.

Samantha E Spellicy, Kelly M Scheulin, Emily W Baker, Brian J Jurgielewicz, Holly A Kinder, Elizabeth S Waters, Janet A Grimes, Steven L Stice, Franklin D West

Abstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Samantha E SpellicyRegenerative Bioscience Center, University of Georgia, Athens, GA, United States.
Kelly M ScheulinRegenerative Bioscience Center, University of Georgia, Athens, GA, United States.
Emily W BakerAruna Bio Inc., Athens, GA, United States.
Brian J JurgielewiczRegenerative Bioscience Center, University of Georgia, Athens, GA, United States.
Holly A KinderRegenerative Bioscience Center, University of Georgia, Athens, GA, United States.
Elizabeth S WatersRegenerative Bioscience Center, University of Georgia, Athens, GA, United States.
Janet A GrimesDepartment of Small Animal Medicine and Surgery, College of Veterinary Medicine, University of Georgia, Athens, GA, United States.
Steven L SticeRegenerative Bioscience Center, University of Georgia, Athens, GA, United States.
Franklin D WestRegenerative Bioscience Center, University of Georgia, Athens, GA, United States.

Funding

Human Neural Cell Exosomes as a therapeutic treatment for strokeR43NS103596 · NINDS · ARUNA BIOMEDICAL, INC. · PI WEBB, ROBIN L · 2017 to 2017
$500k
NINDS NIH HHS R43 NS103596
6 · The paper itself

Abstract

Histopathological analysis of cellular changes in the stroked brain provides critical information pertaining to inflammation, cell death, glial scarring, and other dynamic injury and recovery responses. However, commonly used manual approaches are hindered by limitations in speed, accuracy, bias, and the breadth of morphological information that can be obtained. Here, a semi-automated high-content imaging (HCI) and CellProfiler histological analysis method was developed and used in a Yucatan miniature pig permanent middle cerebral artery occlusion (pMCAO) model of ischemic stroke to overcome these limitations. Evaluation of 19 morphological parameters in IBA1

Indexed as

cell morphologyhigh-content imagingischemic strokepermanent middle cerebral artery occlusion modelporcine

Identifiers

PMID33551749
PMCPMC7862775

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.