Literature DB >> 26643864

Possible involvement of the JAK/STAT signaling pathway in N-acetylcysteine-mediated antidepressant-like effects.

Marwa M Al-Samhari1, Nouf M Al-Rasheed1, Salim Al-Rejaie1, Nawal M Al-Rasheed2, Iman H Hasan1, Ayman M Mahmoud3, Nduna Dzimiri4.   

Abstract

Advances in depression research have targeted inflammation and oxidative stress to develop novel types of treatment. The JAK/STAT signaling pathway plays pivotal roles in immune and inflammatory responses. The present study was designed to investigate the effects of N-acetylcysteine, a putative precursor of the antioxidant glutathione, in an animal model of depression, with an emphasis on the JAK/STAT signaling pathway. Fluoxetine, a classical antidepressant drug was also under investigation. Male Wistar rats were subjected to forced swimming test and given N-acetylcysteine and fluoxetine immediately after the pre-test session, 5 h later and 1 h before the test session of the forced swimming test. N-acetylcysteine decreased immobility time (P < 0.05), serum corticosterone (P < 0.001), and hydrogen peroxide (P < 0.001), while restored glutathione concentration. Treatment of the rats with N-acetylcysteine produced significant (P < 0.001) down-regulation of STAT3 mRNA expression and protein phosphorylation. On the other hand, N-acetylcysteine significantly (P < 0.001) increased SOCS3 gene expression; however, SOCS3 protein was not changed. In conclusion, our study suggests that modulation of the JAK/STAT pathway might mediate the antidepressant-like effects of N-acetylcysteine. Therefore, depression research may target the JAK/STAT signaling pathway to provide a novel effective therapy.
© 2015 by the Society for Experimental Biology and Medicine.

Entities:  

Keywords:  Depression; SOC3; forced swimming test; glutathione; inflammation; oxidative stress

Mesh:

Substances:

Year:  2015        PMID: 26643864      PMCID: PMC4950483          DOI: 10.1177/1535370215619707

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


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