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首页> 外文期刊>BMC Psychiatry >Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort
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Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort

机译:发现抗抑郁反应的生物标志物:来自加拿大抑郁症生物标志物整合网络(CAN-BIND)的协议和首例患者队列的临床特征

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Major Depressive Disorder (MDD) is among the most prevalent and disabling medical conditions worldwide. Identification of clinical and biological markers (“biomarkers”) of treatment response could personalize clinical decisions and lead to better outcomes. This paper describes the aims, design, and methods of a discovery study of biomarkers in antidepressant treatment response, conducted by the Canadian Biomarker Integration Network in Depression (CAN-BIND). The CAN-BIND research program investigates and identifies biomarkers that help to predict outcomes in patients with MDD treated with antidepressant medication. The primary objective of this initial study (known as CAN-BIND-1) is to identify individual and integrated neuroimaging, electrophysiological, molecular, and clinical predictors of response to sequential antidepressant monotherapy and adjunctive therapy in MDD. CAN-BIND-1 is a multisite initiative involving 6 academic health centres working collaboratively with other universities and research centres. In the 16-week protocol, patients with MDD are treated with a first-line antidepressant (escitalopram 10–20?mg/d) that, if clinically warranted after eight weeks, is augmented with an evidence-based, add-on medication (aripiprazole 2–10?mg/d). Comprehensive datasets are obtained using clinical rating scales; behavioural, dimensional, and functioning/quality of life measures; neurocognitive testing; genomic, genetic, and proteomic profiling from blood samples; combined structural and functional magnetic resonance imaging; and electroencephalography. De-identified data from all sites are aggregated within a secure neuroinformatics platform for data integration, management, storage, and analyses. Statistical analyses will include multivariate and machine-learning techniques to identify predictors, moderators, and mediators of treatment response. From June 2013 to February 2015, a cohort of 134 participants (85 outpatients with MDD and 49 healthy participants) has been evaluated at baseline. The clinical characteristics of this cohort are similar to other studies of MDD. Recruitment at all sites is ongoing to a target sample of 290 participants. CAN-BIND will identify biomarkers of treatment response in MDD through extensive clinical, molecular, and imaging assessments, in order to improve treatment practice and clinical outcomes. It will also create an innovative, robust platform and database for future research. ClinicalTrials.gov identifier NCT01655706 . Registered July 27, 2012.
机译:严重抑郁症(MDD)是全球范围内最流行和最致残的医疗疾病。识别治疗反应的临床和生物标志物(“生物标志物”)可以个性化临床决策并导致更好的结果。本文介绍了由加拿大抑郁症生物标志物整合网络(CAN-BIND)进行的抗抑郁药治疗反应生物标志物发现研究的目的,设计和方法。 CAN-BIND研究计划调查并确定有助于预测抗抑郁药物治疗的MDD患者预后的生物标志物。这项初始研究(称为CAN-BIND-1)的主要目的是确定对MDD依次抗抑郁单一疗法和辅助疗法反应的个体和综合性神经影像学,电生理学,分子和临床预测因素。 CAN-BIND-1是一项多站点计划,涉及6个学术健康中心与其他大学和研究中心合作。在16周的方案中,对MDD患者采用一线抗抑郁药(依他普仑10–20?mg / d)进行治疗,如果八周后临床上有保证,则应增加基于证据的附加药物(阿立哌唑2-10 mg / d)。使用临床评定量表获得全面的数据集;行为,尺寸和功能/生活质量度量;神经认知测试;从血样中进行基因组,遗传和蛋白质组分析;结构和功能磁共振成像相结合;和脑电图。来自所有站点的已取消标识的数据将聚集在安全的神经信息平台中,以进行数据集成,管理,存储和分析。统计分析将包括多元和机器学习技术,以识别治疗反应的预测因素,调节因素和调节因素。从2013年6月到2015年2月,在基线时评估了134位参与者(85位MDD门诊患者和49位健康参与者)的队列。该队列的临床特征与MDD的其他研究相似。目前正在招募290名参与者,目前正在所有地点进行招募。 CAN-BIND将通过广泛的临床,分子和影像学评估来鉴定MDD中治疗反应的生物标志物,以改善治疗实践和临床结果。它还将创建一个创新的,强大的平台和数据库,以供将来研究。 ClinicalTrials.gov标识符NCT01655706。 2012年7月27日注册。

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