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Electroacupuncture Preconditioning for Stroke Patients

  • Qiang Wang
  • Lize XiongEmail author
Chapter
Part of the Springer Series in Translational Stroke Research book series (SSTSR)

Abstract

Stroke is one of the most common causes of death and the leading cause of adult disability in the world. Pharmacological treatments are either ineffective or confounded by adverse effects. Electroacupuncture (EA) preconditioning is a recent observation which has been shown to induce ischemic tolerance like the ischemia preconditioning, suggesting that EA preconditioning may be a promising preventive strategy for the patients with high risk of acute brain injury. The purpose of this chapter is to collect the evidence for the neuroprotective effect of EA preconditioning, to summarize the underline mechanisms of EA preconditioning, and to discuss the possibility as a novel strategy for preventive treatment of ischemic damages in clinic.

EA preconditioning was first described in the brain in which EA stimulation at acupoint prior to ischemia led to the rapid and delayed ischemic tolerance. Then, the optimal parameters and acupoint specificity of EA preconditioning-induced neuroprotection were proved. Many studies have demonstrated that mechanisms of EA preconditioning may involve a series of regulatory molecular pathways including activity enhancement of antioxidant, regulation of the endocannabinoid system, and inhibition of neuronal apoptosis and so on. Recently, clinical trials have shown that EA preconditioning alleviated cerebral ischemic injury and promoted postoperative recovery in patients who have undergone craniocerebral tumor resection and open cardiac surgery. However, the underlying mechanisms and pathways need to further elucidate, and the efficiency and feasibility of EA preconditioning need to be investigated in clinical settings.

Keywords

Ischemic Precondition Ischemic Tolerance Cerebral Ischemic Injury Acupoint Specificity Antagonist AM251 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Anesthesiology, Xijing HospitalFourth Military Medical UniversityXi’anChina

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