Evidence map›Paper›PMID 36212660›Full record

ReviewFrontiers in neurology2022

The dual function of microglial polarization and its treatment targets in ischemic stroke.

Yong Mo, Weilin Xu, Kaijing Fu, Hainan Chen, Jing Wen, Qianrong Huang, Fangzhou Guo, Ligen Mo, Jun Yan

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

9 authors.

Yong MoDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Weilin XuDepartment of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Kaijing FuDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Hainan ChenDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Jing WenDepartment of Rheumatism, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qianrong HuangDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Fangzhou GuoDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Ligen MoDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Jun YanDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is the leading cause of disability and death worldwide, with ischemic stroke occurring in ~5% of the global population every year. Recently, many studies have been conducted on the inflammatory response after stroke. Microglial/macrophage polarization has a dual function and is critical to the pathology of ischemic stroke. Microglial/macrophage activation is important in reducing neuronal apoptosis, enhancing neurogenesis, and promoting functional recovery after ischemic stroke. In this review, we investigate the physiological characteristics and functions of microglia in the brain, the activation and phenotypic polarization of microglia and macrophages after stroke, the signaling mechanisms of polarization states, and the contribution of microglia to brain pathology and repair. We summarize recent advances in stroke-related microglia research, highlighting breakthroughs in therapeutic strategies for microglial responses after stroke, thereby providing new ideas for the treatment of ischemic stroke.

Indexed as

dual functionischemic strokemicrogliapolarizationtreatment target

Identifiers

PMID36212660
PMCPMC9538667

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Registered trials

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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.