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Inflammatory Biomarkers as Differential Predictors of Antidepressant Response

Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, 1-8-1 Inohana, Chiba 260-7680, Japan
Academic Editor: Cesar Borlongan
Int. J. Mol. Sci. 2015, 16(4), 7796-7801; https://doi.org/10.3390/ijms16047796
Received: 10 March 2015 / Revised: 3 April 2015 / Accepted: 6 April 2015 / Published: 8 April 2015
Although antidepressants are generally effective in the treatment of major depressive disorder (MDD), it can still take weeks before patients feel the full antidepressant effects. Despite the efficacy of standard treatments, approximately two-thirds of patients with MDD fail to respond to pharmacotherapy. Therefore, the identification of blood biomarkers that can predict the treatment response to antidepressants would be highly useful in order to improve this situation. This article discusses inflammatory molecules as predictive biomarkers for antidepressant responses to several classes of antidepressants, including the N-methyl-d-aspartate (NMDA) receptor antagonist ketamine. View Full-Text
Keywords: antidepressant; biomarker; cytokine; inflammation; ketamine; predictor; response antidepressant; biomarker; cytokine; inflammation; ketamine; predictor; response
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MDPI and ACS Style

Hashimoto, K. Inflammatory Biomarkers as Differential Predictors of Antidepressant Response. Int. J. Mol. Sci. 2015, 16, 7796-7801. https://doi.org/10.3390/ijms16047796

AMA Style

Hashimoto K. Inflammatory Biomarkers as Differential Predictors of Antidepressant Response. International Journal of Molecular Sciences. 2015; 16(4):7796-7801. https://doi.org/10.3390/ijms16047796

Chicago/Turabian Style

Hashimoto, Kenji. 2015. "Inflammatory Biomarkers as Differential Predictors of Antidepressant Response" International Journal of Molecular Sciences 16, no. 4: 7796-7801. https://doi.org/10.3390/ijms16047796

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