The evolving role of neuro-immune interaction in brain repair after cerebral ischemic stroke.
Xin WangWei XuanZi-Yu ZhuYan LiHao ZhuLing ZhuDan-Yun FuLi-Qun YangPei-Ying LiWei-Feng YuPublished in: CNS neuroscience & therapeutics (2018)
Stroke is the world's leading cause of disability with limited brain repair treatments which effectively improve long-term neurological deficits. The neuroinflammatory responses persist into the late repair phase of stroke and participate in all brain repair elements, including neurogenesis, angiogenesis, synaptogenesis, remyelination and axonal sprouting, shedding new light on post-stroke brain recovery. Resident brain glial cells, such as astrocytes not only contribute to neuroinflammation after stroke, but also secrete a wide range of trophic factors that can promote post-stroke brain repair. Alternatively, activated microglia, monocytes, and neutrophils in the innate immune system, traditionally considered as major damaging factors after stroke, have been suggested to be extensively involved in brain repair after stroke. The adaptive immune system may also have its bright side during the late regenerative phase, affecting the immune suppressive regulatory T cells and B cells. This review summarizes the recent findings in the evolving role of neuroinflammation in multiple post-stroke brain repair mechanisms and poses unanswered questions that may generate new directions for future research and give rise to novel therapeutic targets to improve stroke recovery.
Keyphrases
- cerebral ischemia
- resting state
- white matter
- subarachnoid hemorrhage
- functional connectivity
- regulatory t cells
- atrial fibrillation
- multiple sclerosis
- blood brain barrier
- brain injury
- immune response
- spinal cord injury
- induced apoptosis
- traumatic brain injury
- cell proliferation
- dendritic cells
- inflammatory response
- lipopolysaccharide induced
- bone marrow
- patient safety
- cognitive impairment
- neuropathic pain
- endothelial cells
- endoplasmic reticulum stress
- optical coherence tomography
- tissue engineering