P11 promoter methylation predicts the antidepressant effect of electroconvulsive therapy

电休克疗法 生物标志物 抗抑郁药 重性抑郁障碍 甲基化 肿瘤科 心理学 西酞普兰 医学 内科学 精神科 生物信息学 精神分裂症(面向对象编程) 基因 焦虑 生物 认知 遗传学
作者
Alexandra Neyazi,Wiebke Theilmann,Claudia Brandt,Tomi Rantamäki,Nobuaki Matsui,Mathias Rhein,Johannes Kornhuber,Malek Bajbouj,Wolfgang Sperling,Stefan Bleich,Helge Frieling,Wolfgang Löscher
出处
期刊:Translational Psychiatry [Springer Nature]
卷期号:8 (1) 被引量:38
标识
DOI:10.1038/s41398-017-0077-3
摘要

Abstract Although electroconvulsive therapy (ECT) is among the most effective treatment options for pharmacoresistant major depressive disorder (MDD), some patients still remain refractory to standard ECT practise. Thus, there is a need for markers reliably predicting ECT non/response. In our study, we have taken a novel translational approach for discovering potential biomarkers for the prediction of ECT response. Our hypothesis was that the promoter methylation of p11, a multifunctional protein involved in both depressive-like states and antidepressant treatment responses, is differently regulated in ECT responders vs. nonresponders and thus be a putative biomarker of ECT response. The chronic mild stress model of MDD was adapted with the aim to obtain rats that are resistant to conventional antidepressant drugs (citalopram). Subsequently, electroconvulsive stimulation (ECS) was used to select responders and nonresponders, and compare p11 expression and promoter methylation. In the rat experiments we found that the gene promoter methylation and expression of p11 significantly correlate with the antidepressant effect of ECS. Next, we investigated the predictive properties of p11 promoter methylation in two clinical cohorts of patients with pharmacoresistant MDD. In a proof-of-concept clinical trial in 11 patients with refractory MDD, higher p11 promoter methylation was found in responders to ECT. This finding was replicated in an independent sample of 65 patients with pharmacoresistant MDD. This translational study successfully validated the first biomarker reliably predicting the responsiveness to ECT. Prescreening of this biomarker could help to identify patients eligible for first-line ECT treatment and also help to develop novel antidepressant treatment procedures for depressed patients resistant to all currently approved antidepressant treatments.
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