期刊
EUROPEAN JOURNAL OF NEUROSCIENCE
卷 47, 期 12, 页码 1414-1428出版社
WILEY
DOI: 10.1111/ejn.13959
关键词
brain ischaemia; CNS development; CNS regeneration; connectivity; neurogenesis; synaptogenesis
资金
- Liaison Committee for Education, Research, and Innovation in Central Norway (Helse Midt-Norge RHF)
- St Olav's Hospital, NTNU (Felles Forskingsutvalg)
- Faculty of Medicine and Health Sciences, NTNU (Felles Forskingsutvalg)
Neuroplasticity after ischaemic injury involves both spontaneous rewiring of neural networks and circuits as well as functional responses in neurogenic niches. These events involve complex interactions with activated microglia, which evolve in a dynamic manner over time. Although the exact mechanisms underlying these interactions remain poorly understood, increasing experimental evidence suggests a determining role of pro- and anti-inflammatory microglial activation profiles in shaping both synaptogenesis and neurogenesis. While the inflammatory response of microglia was thought to be detrimental, a more complex profile of the role of microglia in tissue remodelling is emerging. Experimental evidence suggests that microglia in response to injury can rapidly modify neuronal activity and modulate synaptic function, as well as be beneficial for the proliferation and integration of neural progenitor cells (NPCs) from endogenous neurogenic niches into functional networks thereby supporting stroke recovery. The manner in which microglia contribute towards sculpting neural synapses and networks, both in terms of activity-dependent and homeostatic plasticity, suggests that microglia-mediated pro- and/or anti-inflammatory activity may significantly contribute towards spontaneous neuronal plasticity after ischaemic lesions. In this review, we first introduce some of the key cellular and molecular mechanisms underlying neuroplasticity in stroke and then proceed to discuss the crosstalk between microglia and endogenous neuroplasticity in response to brain ischaemia with special focus on the engagement of synapses and neural networks and their implications for grey matter integrity and function in stroke repair.
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