Evidence map›Paper›PMID 27090093›Full record

ArticleScientific reports2016

High Resolution Dissection of Reactive Glial Nets in Alzheimer's Disease.

David S Bouvier, Emma V Jones, Gaël Quesseveur, Maria Antonietta Davoli, Tiago A Ferreira, Rémi Quirion, Naguib Mechawar, Keith K Murai

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 pooled it
4.5field-weighted citation impact, top 5% 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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it, 109 citations in OpenAlex.

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  19. Role of NRF2 in Pathogenesis of Alzheimer's Disease.Antioxidants (Basel, Switzerland) · 2024
    Review
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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

8 authors at 4 institutions in 1 country.

David S BouvierCentre for Research in Neuroscience, Department of Neurology and Neurosurgery, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada.
Emma V JonesCentre for Research in Neuroscience, Department of Neurology and Neurosurgery, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada.
Gaël QuesseveurCentre for Research in Neuroscience, Department of Neurology and Neurosurgery, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada.
Maria Antonietta DavoliDouglas Mental Health University Institute, Department of Psychiatry, McGill Group for Suicide Studies, McGill University, Montreal, Quebec, Canada.
Tiago A FerreiraCentre for Research in Neuroscience, Department of Neurology and Neurosurgery, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada.
Rémi QuirionDouglas Mental Health University Institute, Department of Psychiatry, McGill Group for Suicide Studies, McGill University, Montreal, Quebec, Canada.
Naguib MechawarDouglas Mental Health University Institute, Department of Psychiatry, McGill Group for Suicide Studies, McGill University, Montreal, Quebec, Canada.
Keith K MuraiCentre for Research in Neuroscience, Department of Neurology and Neurosurgery, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada.
McGill University Health Centre · CAMcGill University · CADouglas Mental Health University Institute · CAMontreal General Hospital · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Fixed human brain samples in tissue repositories hold great potential for unlocking complexities of the brain and its alteration with disease. However, current methodology for simultaneously resolving complex three-dimensional (3D) cellular anatomy and organization, as well as, intricate details of human brain cells in tissue has been limited due to weak labeling characteristics of the tissue and high background levels. To expose the potential of these samples, we developed a method to overcome these major limitations. This approach offers an unprecedented view of cytoarchitecture and subcellular detail of human brain cells, from cellular networks to individual synapses. Applying the method to AD samples, we expose complex features of microglial cells and astrocytes in the disease. Through this methodology, we show that these cells form specialized 3D structures in AD that we refer to as reactive glial nets (RGNs). RGNs are areas of concentrated neuronal injury, inflammation, and tauopathy and display unique features around β-amyloid plaque types. RGNs have conserved properties in an AD mouse model and display a developmental pattern coinciding with the progressive accumulation of neuropathology. The method provided here will help reveal novel features of the healthy and diseased human brain, and aid experimental design in translational brain research.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAnimalsAstrocytesBrainDiagnosisDisease Models, AnimalFemaleHumansMaleMiceMicrogliaNeurogliaNeuronsPlaque, Amyloid

Identifiers

PMID27090093
PMCPMC4835751
OpenAlexW2338312595

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.