Biomedical Research

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Research Article - Biomedical Research (2017) Volume 28, Issue 19

Ephedra-cinnamomi attenuates cerebral ischemia-induced memory deficits via TLR4/MyD88/p38 MAPK pathway

Background: Cerebral ischemia is a common and serious neurological disease. Ephedra-cinnamomi composed of Ephedra and cinnamomi is a famous herb-pair in Traditional Chinese Medicine. The aim of present study was to investigate the effect of Ephedra-cinnamomi on cerebral ischemia injury in rats.

Material and Methods: Four-Vessel Occlusion (4-VO) method was applied to induce global cerebral ischemia injury. Rats were treated with Ephedra-cinnamomi (3, 6 and 12 g/kg, i.g.) while the untreated rates were regarded as the negative control. Then memory capacity was measured by Step through Passive Avoidance (STPA) test and Morris Water Maze (MWM) test. Pro-inflammatory cytokines levels were detected by Enzyme Linked Immunosorbent Assay (ELISA). Additionally, the protein expression levels of Toll-Like Receptor (TLR) 4, myeloid differentiation factor 88 (MyD88) and phosphorylated p38 mitogen-activated protein kinases (p-p38MAPKs) were detected by Western blot.

Results: The results revealed that Ephedra-cinnamomi attenuated the cerebral ischemia-induced memory deficits and ameliorated histopathological changes. In addition, Ephedra-cinnamomi was able to reduce the pro-inflammatory cytokines production and inhibit the activation of TLR4/MyD88/p38 MAPK pathway in 4-VO induced rats model.

Conclusion: The results indicated that Ephedra-cinnamomi significantly ameliorates the ischemic brain injury in rats. Furthermore, the molecular mechanism of improved ischemic brain by Ephedracinnamomi is associated with the inhibition of TLR4/p38 MAPK pathway and the suppression of proinflammatory cytokines production.

Author(s): Liang-Kui Xu, Xiao-Ming Wang, Xiao-Mei Tan, Xue-Feng Xing, Qing-Fa Tang, Jia-Bo Luo

Abstract Full Text PDF