Evidence map›Paper›PMID 28484229›Full record

ArticleScientific reports2017

Characterizing microglia activation: a spatial statistics approach to maximize information extraction.

Benjamin M Davis, Manual Salinas-Navarro, M Francesca Cordeiro, Lieve Moons, Lies De Groef

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers.

0numbers the graph read from it
0cells of the map it votes in
199citing papers in PubMed
13.0field-weighted citation impact, top 1% 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

199 citing papers in PubMed, 346 citations in OpenAlex.

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139 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 3 countries.

Benjamin M DavisGlaucoma and Retinal Neurodegenerative Disease Research Group, Institute of Ophthalmology, University College London, 11-43 Bath Street, London, EC1V 9EL, United Kingdom.
Manual Salinas-NavarroNeural Circuit Development and Regeneration Research Group, Department of Biology, University of Leuven, Naamsestraat 61 box 2464, 3000, Leuven, Belgium.
M Francesca CordeiroGlaucoma and Retinal Neurodegenerative Disease Research Group, Institute of Ophthalmology, University College London, 11-43 Bath Street, London, EC1V 9EL, United Kingdom.
Lieve MoonsNeural Circuit Development and Regeneration Research Group, Department of Biology, University of Leuven, Naamsestraat 61 box 2464, 3000, Leuven, Belgium.ORCID 0000-0003-0186-1411
Lies De GroefGlaucoma and Retinal Neurodegenerative Disease Research Group, Institute of Ophthalmology, University College London, 11-43 Bath Street, London, EC1V 9EL, United Kingdom. lies.degroef@kuleuven.be.ORCID 0000-0002-3329-3474
KU Leuven · BEImperial College Healthcare NHS Trust · GBInstitute of Ophthalmology · MXUniversity College London · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Microglia play an important role in the pathology of CNS disorders, however, there remains significant uncertainty about the neuroprotective/degenerative role of these cells due to a lack of techniques to adequately assess their complex behaviour in response to injury. Advancing microscopy techniques, transgenic lines and well-characterized molecular markers, have made histological assessment of microglia populations more accessible. However, there is a distinct lack of tools to adequately extract information from these images to fully characterise microglia behaviour. This, combined with growing economic pressures and the ethical need to minimise the use of laboratory animals, led us to develop tools to maximise the amount of information obtained. This study describes a novel approach, combining image analysis with spatial statistical techniques. In addition to monitoring morphological parameters and global changes in microglia density, nearest neighbour distance, and regularity index, we used cluster analyses based on changes in soma size and roundness to yield novel insights into the behaviour of different microglia phenotypes in a murine optic nerve injury model. These methods should be considered a generic tool to quantitatively assess microglia activation, to profile phenotypic changes into microglia subpopulations, and to map spatial distributions in virtually every CNS region and disease state.

Indexed as

Statistics as TopicAlgorithmsAnimalsCalcium-Binding ProteinsCell CountCell ShapeCluster AnalysisImage Processing, Computer-AssistedMice, Inbred C57BLMicrofilament ProteinsMicrogliaAif1 protein, mouseCalcium-Binding ProteinsMicrofilament Proteins

Identifiers

PMID28484229
PMCPMC5431479
OpenAlexW2606471454

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.