Karabatsiakis Alexander, Hamuni Gilava, Wilker Sarah, Kolassa Stephan, Renu Durairaj, Kadereit Suzanne, Schauer Maggie, Hennessy Thomas, Kolassa Iris-Tatjana
Clinical & Biological Psychology, Ulm University, Albert-Einstein Allee 47, 89081 Ulm, Germany.
SAP Switzerland AG, Tägerwilen, Switzerland.
J Mol Psychiatry. 2015 Feb 8;3(1):2. doi: 10.1186/s40303-015-0007-3. eCollection 2015.
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.
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).
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%.
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.
创伤应激不仅会增加创伤后应激障碍(PTSD)的风险,还与不良的继发性身体健康后果相关。尽管人们付出了越来越多的努力,但我们才刚刚开始了解其潜在的生物分子过程。对多种代谢物进行无假设评估(即代谢物谱分析)可能有助于发现PTSD潜在的生物学途径。
在此,我们展示了第一项关于PTSD的代谢物谱分析研究结果,该研究调查了20例PTSD患者和18例对照者的外周血血清样本。我们采用液相色谱(LC)与四极杆/飞行时间(QTOF)质谱联用技术。使用了两种互补的统计方法来识别与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)。
13种代谢物在PTSD中显示出显著变化,包括4种甘油磷脂和1种参与内源性大麻素信号传导的代谢物。一个由19种代谢物组成的生物标志物组合对PTSD的分类准确率为85%,而具有最高区分能力的甘油磷脂的分类准确率已达到82%。
本研究说明了代谢物谱分析在PTSD研究中的可行性和实用性,并提示脂质衍生和内源性大麻素信号传导可能是创伤相关病理生理学涉及的潜在生物学途径。