Evidence map›Paper›PMID 37268822›Full record

ReviewNature reviews. Neuroscience2023

Roles and regulation of microglia activity in multiple sclerosis: insights from animal models.

Félix Distéfano-Gagné, Sara Bitarafan, Steve Lacroix, David Gosselin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Inner Plexiform Layer Microstructure Is Altered in Multiple Sclerosis.Investigative ophthalmology & visual science · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. iScience · 2026
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

4 authors.

Félix Distéfano-Gagné *Axe Neuroscience, Centre de Recherche du CHU de Québec - Université Laval, Québec, Québec, Canada.ORCID 0000-0002-4583-4311
Sara Bitarafan *Axe Neuroscience, Centre de Recherche du CHU de Québec - Université Laval, Québec, Québec, Canada.
Steve LacroixAxe Neuroscience, Centre de Recherche du CHU de Québec - Université Laval, Québec, Québec, Canada.
David GosselinAxe Neuroscience, Centre de Recherche du CHU de Québec - Université Laval, Québec, Québec, Canada. david.gosselin@crchudequebec.ulaval.ca.ORCID 0000-0001-5327-2868

Funding

CIHR
6 · The paper itself

Abstract

As resident macrophages of the CNS, microglia are critical immune effectors of inflammatory lesions and associated neural dysfunctions. In multiple sclerosis (MS) and its animal models, chronic microglial inflammatory activity damages myelin and disrupts axonal and synaptic activity. In contrast to these detrimental effects, the potent phagocytic and tissue-remodelling capabilities of microglia support critical endogenous repair mechanisms. Although these opposing capabilities have long been appreciated, a precise understanding of their underlying molecular effectors is only beginning to emerge. Here, we review recent advances in our understanding of the roles of microglia in animal models of MS and demyelinating lesions and the mechanisms that underlie their damaging and repairing activities. We also discuss how the structured organization and regulation of the genome enables complex transcriptional heterogeneity within the microglial cell population at demyelinating lesions.

Indexed as

Multiple SclerosisAnimalsAxonsDisease Models, AnimalInflammationMacrophagesMicroglia

Identifiers

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.