Evidence map›Paper›PMID 36738403›Full record

ReviewCellular and molecular neurobiology2023

The Role of Microglial Depletion Approaches in Pathological Condition of CNS.

Fatemeh Tahmasebi, Shirin Barati

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 17 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

2 authors at 2 institutions in 1 country.

Fatemeh TahmasebiDepartment of Anatomy, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID http://orcid.org/0000-0002-0051-4648
Shirin BaratiDepartment of Anatomy, Saveh University of Medical Sciences, Saveh, Iran. baratishirin@yahoo.com.ORCID https://orcid.org/0000-0001-9605-334X
Mashhad University of Medical Sciences · IRSaveh University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microglia are the primary immune cells of the central nervous system (CNS) that comprise about 5-12% of all cells in the brain. These cells are the first line of defense that protects the CNS from damage and attacking pathogens. Microglia originate from yolk sac macrophages and migrate to the brain before the blood-brain barrier formation. Microglia show key roles in healthy CNS including promoting neurogenesis, synaptic sculpting, and maintaining homeostasis but in pathological conditions of CNS, microglial activation may exacerbate diseases. Thus, microglial depletion of the CNS is a novel approach that could be a useful tool to understand the microglial functions in neurodegenerative and neuroinflammatory diseases. There are methods for microglial ablation and reduction such as genetic tools and pharmacological inhibitors. In this study, we review recent studies that used different microglial ablation models for microglial reduction and repopulation after depletion in pathological states of CNS. Recently, studies showed that microglial depletion as a potential therapeutic application has benefits (such as inflammatory factors reduction, increase synaptogenesis, astrogliosis preventation) in CNS. For these reasons, the inhibition of microglia with these models was considered a therapeutic approach for neurodegenerative disease treatment.

Indexed as

MicrogliaNeurodegenerative DiseasesBrainCentral Nervous SystemHumansMacrophagesCentral nervous systemMicroglia depletionMicroglia repopulationPLX3397

Identifiers

PMID36738403
PMCPMC11410134
OpenAlexW4319216481

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.