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Metabolite profiling in posttraumatic stress disorder

机译：创伤后应激障碍的代谢物谱

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BackgroundTraumatic 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. MethodsHere, 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). ResultsThirteen 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%. ConclusionsThis 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.
机译：背景创伤压力不仅会增加创伤后压力障碍（PTSD）的风险，而且还会带来不利的继发性身体健康后果。尽管付出了更多的努力，我们才开始了解潜在的生物分子过程。对各种代谢物（称为代谢物谱）进行无假设的评估可能有助于发现PTSD的生物学途径。方法在这里，我们介绍了PTSD中的首次代谢物谱分析研究的结果，该研究调查了20名PTSD患者和18名对照的外周血样本。我们进行了液相色谱（LC）结合四极杆/飞行时间（QTOF）质谱分析。两种互补的统计方法用于鉴定与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中显示出显着变化，包括4种甘油磷脂和1种代谢物参与了内源性大麻素信号传导。由19种代谢物组成的生物标志物组对PTSD的分类准确度为85％，而具有最高区分能力的甘油磷脂的分类准确度已达到82％。结论这项研究说明了针对PTSD的代谢物谱分析的可行性和实用性，并提出了脂质来源的和内源性大麻素信号作为创伤相关病理生理学中潜在的生物学途径。

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