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Antidepressant activity of vorinostat is associated with amelioration of oxidative stress and inflammation in a corticosterone-induced chronic stress model in mice

Publisher : Behavioural Brain Research

Campus : Kochi

School : School of Pharmacy

Department : Pharmacology

Year : 2018

Abstract : Major depressive disorder (MDD) is a multifactorial neuropsychiatric disorder. Chronic administration of corticosterone (CORT) to rodents is used to mimic the stress associated dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis, a well-established feature found in depressive patients. Recently, preclinical studies have demonstrated the antidepressant potential of histone deacetylase (HDAC) inhibitors. So, we examined the antidepressant potential of vorinostat (VOR), a HDAC inhibitor against CORT injections in male mice. VOR (25 mg/kg; intraperitoneal) and fluoxetine (FLX) (15 mg/kg; oral) treatments were provided to CORT administered mice. At the end of dosing schedule, neurobehavioral tests were conducted; followed by mechanistic evaluation through biochemical analysis, RTPCR and western blot in serum and hippocampus. Neurobehavioral tests revealed the development of anxiety/depressive-like behavior in CORT mice as compared to the vehicle control. Depressive-mice showed concomitant HPA axis dysregulation as observed from the significant increase in serum CORT and ACTH. Chronic CORT administration was found to significantly increase hippocampal malondialdehyde (MDA) and iNOS levels while lowering glutathione (GSH) content, as compared to vehicle control. VOR treatment, in a similar manner to the classical antidepressant FLX, significantly ameliorated anxiety/depressive-like behavior along with HPA axis alterations induced by CORT. The antidepressant-like ability of drug treatments against chronic CORT induced stress model, as revealed in our study, may be due to their potential to mitigate inflammatory damage and oxidative stress via modulation of hippocampal NF-κB p65, COX-2, HDAC2 and phosphorylated JNK levels.

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