Literature DB >> 28844626

Associations of Tumor Necrosis Factor-α and Interleukin-1β Levels and Polymorphisms with Post-Stroke Depression.

Jae-Min Kim1, Hee-Ju Kang2, Ju-Wan Kim2, Kyung-Yeol Bae2, Sung-Wan Kim2, Joon-Tae Kim3, Man-Seok Park3, Ki-Hyun Cho3.   

Abstract

OBJECTIVE: Proinflammatory cytokines have been implicated in the pathophysiology of post-stroke depression (PSD), and their production levels are influenced by the transcriptional activity of genetic polymorphisms. The present study aimed to investigate the roles of tumor necrosis factor (TNF)-α and interleukin (IL)-1β in the serum on the risk of PSD while taking into account the TNF-α -850C/T and -308G/A polymorphisms and the IL-1β -511C/T and +3953C/T polymorphisms.
METHODS: A total of 286 patients were evaluated at 2 weeks post stroke and 222 (78%) of these patients were followed up 1 year later. Depressive (major or minor) disorders were diagnosed according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria during both examinations; evaluations of cytokine concentrations and polymorphisms and demographic and clinical covariates were performed at 2 weeks. The effects of TNF-α and IL-1β concentrations and genotypes on PSD status were investigated using multivariate logistic regression models.
RESULTS: Higher TNF-α levels were associated with PSD at 2 weeks in the presence of the -850T allele with a significant interaction term; higher IL-1β levels were associated with PSD at 2 weeks in the presence of the -511T allele with a borderline significant interaction term and with any +3953C/T polymorphism without a significant interaction term. No associations were found with PSD at 1 year.
CONCLUSIONS: These findings indicate the important roles that TNF-α and IL-1β serum levels play regarding the risk of PSD, particularly during the acute phase of stroke and in patients with genetic susceptibility.
Copyright © 2017 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; cytokines; genetics; interaction; stroke

Mesh:

Substances:

Year:  2017        PMID: 28844626     DOI: 10.1016/j.jagp.2017.07.012

Source DB:  PubMed          Journal:  Am J Geriatr Psychiatry        ISSN: 1064-7481            Impact factor:   4.105


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