Evidence map›Paper›PMID 35776344›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Investigating Microglial Ultrastructural Alterations and Intimate Relationships with Neuronal Stress, Dystrophy, and Degeneration in Mouse Models of Alzheimer's Disease.

Marie-Kim St-Pierre, Micaël Carrier, Victor Lau, Marie-Ève Tremblay

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
9.3field-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

14 citing papers in PubMed, 29 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Marie-Kim St-PierreAxe neurosciences, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada.
Micaël CarrierAxe neurosciences, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada.
Victor LauDivision of Medical Sciences, University of Victoria, Victoria, BC, Canada.
Marie-Ève TremblayAxe neurosciences, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada. evetremblay@uvic.ca.
Université Laval · CAUniversity of Victoria · CA

Funding

CIHR
6 · The paper itself

Abstract

In recent decades, microglia have taken the field of neuroscience by storm, with numerous studies identifying key roles for these cells in the pathophysiology of neurodegenerative conditions, such as Alzheimer's disease (AD). The heterogeneity of these cells (e.g., the presence of various subtypes like the disease-associated microglia, microglia associated with neurodegeneration, dark microglia, lipid droplet-accumulating microglia), and their ultrastructural alterations arising from environmental challenges have become a central focus of recent studies. Dark microglia are electron-dense cells defined by their ultrastructural markers of cellular stress using electron microscopy (EM). In this protocol, we first describe the steps required for proper brain tissue preparation for EM experiments. Ultrastructural analysis of microglia and neurons/synapses in AD mouse models is also detailed, using transmission or scanning EM. We next explain how to characterize several ultrastructural markers of cellular stress, dystrophy or degeneration, in microglia and neurons/synapses, with relation to amyloid beta plaques.

Indexed as

Alzheimer DiseaseMicrogliaAmyloid beta-PeptidesAnimalsDisease Models, AnimalMiceNeuronsPlaque, AmyloidAmyloid beta-PeptidesAlzheimer’s diseaseDark microgliaDystrophyElectron microscopyMicrogliaMouse modelsSynaptic lossUltrastructure

Identifiers

PMID35776344
OpenAlexW4285164101

What OpenQuestion holds

Textmetadata
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.