Martins-de-Souza D, Maccarrone G, Ising M, Kloiber S, Lucae S, Holsboer F, Turck C W
1] Max Planck Institute of Psychiatry, Proteomics and Biomarkers, Munich, Germany [2] Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany.
Max Planck Institute of Psychiatry, Proteomics and Biomarkers, Munich, Germany.
Transl Psychiatry. 2014 Jan 28;4(1):e352. doi: 10.1038/tp.2013.129.
Major depressive disorder (MDD) is one of the leading causes of global disability. It is a risk factor for noncompliance with medical treatment, with about 40% of patients not responding to currently used antidepressant drugs. The identification and clinical implementation of biomarkers that can indicate the likelihood of treatment response are needed in order to predict which patients will benefit from an antidepressant drug. While analyzing the blood plasma proteome collected from MDD patients before the initiation of antidepressant medication, we observed different fibrinogen alpha (FGA) levels between drug responders and nonresponders. These results were replicated in a second set of patients. Our findings lend further support to a recently identified association between MDD and fibrinogen levels from a large-scale study.
重度抑郁症(MDD)是导致全球残疾的主要原因之一。它是不遵医嘱进行药物治疗的一个风险因素,约40%的患者对目前使用的抗抑郁药物没有反应。为了预测哪些患者将从抗抑郁药物中获益,需要识别并在临床上应用能够表明治疗反应可能性的生物标志物。在分析从MDD患者开始使用抗抑郁药物治疗前采集的血浆蛋白质组时,我们观察到药物反应者和无反应者之间的纤维蛋白原α(FGA)水平不同。这些结果在另一组患者中得到了重复验证。我们的研究结果进一步支持了最近一项大规模研究中发现的MDD与纤维蛋白原水平之间的关联。