Metabolite profiling in posttraumatic stress disorder.

Journal of molecular psychiatry Pub Date : 2015-02-08 eCollection Date: 2015-01-01 DOI:10.1186/s40303-015-0007-3
Alexander Karabatsiakis, Gilava Hamuni, Sarah Wilker, Stephan Kolassa, Durairaj Renu, Suzanne Kadereit, Maggie Schauer, Thomas Hennessy, Iris-Tatjana Kolassa
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引用次数: 36

Abstract

Background: Traumatic stress does not only increase the risk for posttraumatic stress disorder (PTSD), but is also associated with adverse secondary physical health outcomes. Despite increasing efforts, we only begin to understand the underlying biomolecular processes. The hypothesis-free assessment of a wide range of metabolites (termed metabolite profiling) might contribute to the discovery of biological pathways underlying PTSD.

Methods: Here, we present the results of the first metabolite profiling study in PTSD, which investigated peripheral blood serum samples of 20 PTSD patients and 18 controls. We performed liquid chromatography (LC) coupled to Quadrupole/Time-Of-Flight (QTOF) mass spectrometry. Two complementary statistical approaches were used to identify metabolites associated with PTSD status including univariate analyses and Partial Least Squares Discriminant Analysis (PLS-DA).

Results: Thirteen metabolites displayed significant changes in PTSD, including four glycerophospholipids, and one metabolite involved in endocannabinoid signaling. A biomarker panel of 19 metabolites classifies PTSD with 85% accuracy, while classification accuracy from the glycerophospholipid with the highest differentiating ability already reached 82%.

Conclusions: This study illustrates the feasibility and utility of metabolite profiling for PTSD and suggests lipid-derived and endocannabinoid signaling as potential biological pathways involved in trauma-associated pathophysiology.

Abstract Image

Abstract Image

创伤后应激障碍的代谢物分析。
背景:创伤应激不仅会增加患创伤后应激障碍(PTSD)的风险,而且还与不良的继发性身体健康结果相关。尽管越来越多的努力,我们才刚刚开始了解潜在的生物分子过程。对广泛代谢物的无假设评估(称为代谢物分析)可能有助于发现创伤后应激障碍的生物学途径。方法:本文首次对20例PTSD患者和18例对照组的外周血进行了代谢谱分析研究。我们进行了液相色谱(LC)耦合四极杆/飞行时间(QTOF)质谱分析。使用两种互补的统计方法来确定与PTSD状态相关的代谢物,包括单变量分析和偏最小二乘判别分析(PLS-DA)。结果:13种代谢物在PTSD中表现出显著的变化,包括4种甘油磷脂和1种内源性大麻素信号的代谢物。由19种代谢物组成的生物标志物小组对PTSD的分类准确率为85%,而鉴别能力最高的甘油磷脂的分类准确率已达到82%。结论:本研究说明了代谢产物谱分析在创伤后应激障碍中的可行性和实用性,并提示脂质来源和内源性大麻素信号是参与创伤相关病理生理的潜在生物学途径。
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