Literature DB >> 33208001

Transcriptomic characterization of microglia activation in a rat model of ischemic stroke.

Wenjun Deng1,2, Emiri Mandeville1, Yasukazu Terasaki1, Wenlu Li1, Julie Holder3, Aaron Tt Chuang4, Mingming Ning2, Ken Arai1, Eng H Lo1,2, Changhong Xing1,5.   

Abstract

Microglia are key regulators of inflammatory response after stroke and brain injury. To better understand activation of microglia as well as their phenotypic diversity after ischemic stroke, we profiled the transcriptome of microglia after 75 min transient focal cerebral ischemia in 3-month- and 12-month-old male spontaneously hypertensive rats. Microglia were isolated from the brains by FACS sorting on days 3 and 14 after cerebral ischemia. GeneChip Rat 1.0ST microarray was used to profile the whole transcriptome of sorted microglia. We identified an evolving and complex pattern of activation from 3 to 14 days after stroke onset. M2-like patterns were extensively and persistently upregulated over time. M1-like patterns were only mildly upregulated, mostly at day 14. Younger 3-month-old brains showed a larger microglial response in both pro- and anti-inflammatory pathways, compared to older 12-month-old brains. Importantly, our data revealed that after stroke, most microglia are activated towards a wide spectrum of novel polarization states beyond the standard M1/M2 dichotomy, especially in pathways related to TLR2 and dietary fatty acid signaling. Finally, classes of transcription factors that might potentially regulate microglial activation were identified. These findings should provide a comprehensive database for dissecting microglial mechanisms and pursuing neuroinflammation targets for acute ischemic stroke.

Entities:  

Keywords:  Microglia; inflammatory response; ischemic stroke; phenotype; transcriptome

Mesh:

Year:  2020        PMID: 33208001      PMCID: PMC7687036          DOI: 10.1177/0271678X20932870

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


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