Evidence map›Paper›PMID 34311763›Full record

ArticleJournal of neuroinflammation2021

High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease.

Alanna G Spiteri, Rachel L Terry, Claire L Wishart, Thomas M Ashhurst, Iain L Campbell, Markus J Hofer, Nicholas J C King

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  5. High Fat Low Carbohydrate Diet Is Linked to CNS Autoimmunity Protection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

7 authors at 1 institution in 1 country.

Alanna G SpiteriDiscipline of Pathology, Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, Australia.
Rachel L TerryDiscipline of Pathology, Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, Australia.
Claire L WishartDiscipline of Pathology, Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, Australia.
Thomas M AshhurstDiscipline of Pathology, Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, Australia.
Iain L CampbellMarie Bashir Institute for Infectious Diseases and Biosecurity (MBI), Faculty of Medicine and Health, Sydney Medical School, The University of Sydney, Sydney, Australia.
Markus J HoferCharles Perkins Centre, The University of Sydney, Sydney, Australia.
Nicholas J C KingDiscipline of Pathology, Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, Australia. nicholas.king@sydney.edu.au.ORCID http://orcid.org/0000-0002-3877-9772
The University of Sydney · AU

Funding

Merridew Foundation N/ANational Health and Medical Research Council 1030897National Health and Medical Research Council 1088242
6 · The paper itself

Abstract

backgroundDifferentiating infiltrating myeloid cells from resident microglia in neuroinflammatory disease is challenging, because bone marrow-derived inflammatory monocytes infiltrating the inflamed brain adopt a 'microglia-like' phenotype. This precludes the accurate identification of either cell type without genetic manipulation, which is important to understand their temporal contribution to disease and inform effective intervention in its pathogenesis. During West Nile virus (WNV) encephalitis, widespread neuronal infection drives substantial CNS infiltration of inflammatory monocytes, causing severe immunopathology and/or death, but the role of microglia in this remains unclear.

methodsUsing high-parameter cytometry and dimensionality-reduction, we devised a simple, novel gating strategy to identify microglia and infiltrating myeloid cells during WNV-infection. Validating our strategy, we (1) blocked the entry of infiltrating myeloid populations from peripheral blood using monoclonal blocking antibodies, (2) adoptively transferred BM-derived monocytes and tracked their phenotypic changes after infiltration and (3) labelled peripheral leukocytes that infiltrate into the brain with an intravenous dye. We demonstrated that myeloid immigrants populated only the identified macrophage gates, while PLX5622 depletion reduced all 4 subsets defined by the microglial gates.

resultsUsing this gating approach, we identified four consistent microglia subsets in the homeostatic and WNV-infected brain. These were P2RY12

conclusionsOur approach enables detailed kinetic analysis of resident vs infiltrating myeloid cells in a wide range of neuroinflammatory models without non-physiological manipulation. This will more clearly inform potential therapeutic approaches that specifically modulate these cells.

Indexed as

MicrogliaSpatio-Temporal AnalysisAdoptive TransferAnimalsAntibodies, MonoclonalBlood-Brain BarrierBrainFemaleFlow CytometryImmunophenotypingInterleukin-12KineticsMiceMice, Inbred C57BLMyeloid CellsNeuroinflammatory DiseasesAntibodies, MonoclonalInterleukin-12Organic ChemicalsPLX5622FlavivirusHigh-dimensional cytometryImmune-mediated pathologyMicrogliaNeuroinflammationViral encephalitis

Identifiers

PMID34311763
PMCPMC8314570
OpenAlexW3152494928

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.