• Users Online: 235
  • Print this page
  • Email this page
 
REVIEW ARTICLE
Ahead of Print

The endocannabinoid system as a therapeutic target in diabetic peripheral neuropathic pain: A review


 Department of Pharmacology and Toxicology, Faculty of Pharmacy, King AbdulAziz University, Jeddah, Kingdom of Saudi Arabia

Correspondence Address:
Amina M Bagher,
Department of Pharmacology and Toxicology, Faculty of Pharmacy, King AbdulAziz University, P.O. Box: 80209, Jeddah 21589
Kingdom of Saudi Arabia
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jmau.jmau_97_20

Diabetic peripheral neuropathy (DPN) is characterized by progressive loss of peripheral nerves, which causes numbness, weakness, and severe pain. The medications available currently provide only modest relief from the pain of DPN and are associated with various side effects, which has generated an enormous demand for research on new therapeutic approaches. Dysregulation of the endocannabinoid system has been reported in DPN. Cannabinoid-based medications have gained increasing attention as a potential therapy to alleviate DPN pain. Endocannabinoids and cannabinoids' actions are mediated primarily by cannabinoid receptor 1 (CB1R) and cannabinoid receptor 2 (CB2R). Cannabinoids that activate CB1R have demonstrated a profound antinociceptive effect, although CB1R is associated with undesirable psychoactive effects. Peripherally restricted CB1R agonists help overcome this problem; however, adverse metabolic and cardiovascular effects limit its therapeutic use. In contrast, CB1R antagonists, selective CB2R agonists, and endocannabinoid metabolizing enzymes inhibitors alleviate DPN pain effectively with minimal side effects. This article provides a concise overview of the preclinical and clinical studies that have tested the therapeutic potential of targeting the endocannabinoid system to treat painful DPN.


Print this article
Search
 Back
 
  Search Pubmed for
 
    -  Bagher AM
 Citation Manager
 Article Access Statistics
 Reader Comments
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed952    
    PDF Downloaded20    

Recommend this journal