• Users Online: 1551
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
Year : 2015  |  Volume : 1  |  Issue : 1  |  Page : 47-52

Intracranial atherosclerosis and inflammation: Lessons from the East and the West

Department of Neurology, Hospital ClínicoUniversitario, University of Valladolid, Valladolid, Spain

Correspondence Address:
Juan F Arenillas
Department of Neurology, Hospital Clínico Universitario, University of Valladolid, Ramón y Cajal 3, Valladolid - 47003
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2394-8108.162531

Rights and Permissions

Intracranial atherosclerosis (ICAS) is a major cause of ischemic stroke worldwide. Patients affected by this disease have a high risk of suffering further ischemic strokes and other major vascular events despite the best medical therapy available. However, identification of factors that characterize a high-risk ICAS patient is a clinical problem that is yet to be solved. Inflammation is known to play a crucial role in all the stages of atherosclerosis affecting extracranial arterial beds but its role in ICAS is not firmly established. Circulating inflammatory biomarkers may represent a valuable tool to assess the importance of systemic and local (intraplaque) inflammation in ICAS pathogenesis. In this article, we have reviewed studies with inflammatory biomarkers performed in symptomatic and asymptomatic ICAS patients published in the recent literature. Their findings strongly support the hypothesis that inflammation determines the risk of progression and complication of symptomatic ICAS.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded481    
    Comments [Add]    
    Cited by others 9    

Recommend this journal