TAMEC: a new analogue of cyclomyrsinol diterpenes decreases anxiety- and depression-like behaviors in a mouse model of multiple sclerosis

(2017) TAMEC: a new analogue of cyclomyrsinol diterpenes decreases anxiety- and depression-like behaviors in a mouse model of multiple sclerosis. Neurological Research. pp. 1056-1065. ISSN 0161-6412

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Abstract

Objectives: There is a significant prevalence of affective disorders including depression and anxiety in people with multiple sclerosis (MS), resulting in reduced quality of life. Since the current treatments are not generally effective, further studies are needed to find appropriate drugs to alleviate anxiety and depression symptoms in these patients. Methods: The effects of a new analog of cyclomyrsinol diterpenes (TAMEC) isolated from Euphorbia sogdiana on the anxiety (open field and elevated plus maze test) and depressive-like behaviors (sucrose preference test and forced swim test) in EAE-induced C57BL/6 mice (EAE; a mouse model of MS) were investigated. Hippocampal tumor necrosis factor-alpha (TNF-alpha), interleukin (IL)-1 beta and IL-10 levels were also measured by ELISA. Results: The results indicated that TAMEC treatment reduced anxiety and depression-like behavior. This drug also decreased the levels of TNF-alpha and IL1 beta and increased IL-10 level in the hippocampus. Discussion: Taken together, our findings demonstrate that the drug we used here can reduce anxiety and depression-like symptoms in EAE-induced mice. However, more studies are still needed to validate, expand, and generalize these data.

Item Type: Article
Keywords: cyclomyrsinol diterpenes anxiety depression eae experimental autoimmune encephalomyelitis maternal immune activation pro-inflammatory cytokines necrosis-factor-alpha gaba-a receptors adult mice hippocampal neurogenesis dependent manner natural-products blockade
Divisions: Isfahan Pharmaceutical Sciences Research center
Page Range: pp. 1056-1065
Journal or Publication Title: Neurological Research
Journal Index: ISI
Volume: 39
Number: 12
Identification Number: https://doi.org/10.1080/01616412.2017.1376789
ISSN: 0161-6412
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mui.ac.ir/id/eprint/46

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