Metabolite fingerprinting in posttraumatic stress disorder

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KOENIG, Alexandra Maria, Alexander KARABATSIAKIS, Sarah WILKER, Gilava HAMUNI, Stephan KOLASSA, Durairaj RENU, Suzanne KADEREIT, Maggie SCHAUER, Thomas HENNESSY, Iris-Tatjana KOLASSA, 2016. Metabolite fingerprinting in posttraumatic stress disorder. In: Psychoneuroendocrinology. 71(Supplement), pp. 34. ISSN 0306-4530. eISSN 1873-3360. Available under: doi: 10.1016/j.psyneuen.2016.07.091

@misc{Koenig2016Metab-36731, title={Metabolite fingerprinting in posttraumatic stress disorder}, year={2016}, doi={10.1016/j.psyneuen.2016.07.091}, author={Koenig, Alexandra Maria and Karabatsiakis, Alexander and Wilker, Sarah and Hamuni, Gilava and Kolassa, Stephan and Renu, Durairaj and Kadereit, Suzanne and Schauer, Maggie and Hennessy, Thomas and Kolassa, Iris-Tatjana} }

Kadereit, Suzanne Karabatsiakis, Alexander Koenig, Alexandra Maria Hamuni, Gilava 2017-01-17T11:27:46Z Kolassa, Stephan eng Renu, Durairaj 2017-01-17T11:27:46Z Wilker, Sarah Metabolite fingerprinting in posttraumatic stress disorder Kolassa, Stephan Background: Posttraumatic stress disorder (PTSD) is associated with an increased risk for adverse physical health outcomes. However, the underlying biomolecular processes and associated pathways remain to be further elucidated. The metabolome represents all detectable small bioactive molecules (metabolites) in a given biological sample. Metabolites are the ultimate products of environmentally shaped gene expression and protein activity and are hence closely linked with the individual health status. The untargeted and holistic investigation of the metabolome (termed metabolite fingerprinting) in biological samples might lead to novel insights in PTSD pathophysiology.<br /><br />Methods: Serum samples from 20 individuals with PTSD and 18 healthy controls were analyzed by liquid chromatography coupled to a Quadrupole/Time-Of-Flight (TOF) mass spectrometer. Groups were matched based on age and ethnicity. Univariate and multivariate approaches, namely Partial Least Square Discriminant Analysis (PLS-DA), were applied for statistical analyses.<br /><br />Results: The group comparison revealed 13 metabolites, which were significantly altered in PTSD, including four glycerophospholipids and one metabolite involved in endocannabinoid signaling. In the multivariate approach, a metabolite profile of 19 biomolecules predicted PTSD status with an accuracy of 85%.<br /><br />Conclusions: This study illustrates the potential of metabolite fingerprinting for the identification of novel, trauma and stress-associated pathophysiological underpinning and further provides the possibility to highlight associated biomolecular pathways, such as lipid-derived and endocannabinoid signaling in PTSD. Schauer, Maggie 2016 Karabatsiakis, Alexander Kolassa, Iris-Tatjana Schauer, Maggie Koenig, Alexandra Maria Kolassa, Iris-Tatjana Wilker, Sarah Kadereit, Suzanne Renu, Durairaj Hennessy, Thomas Hamuni, Gilava Hennessy, Thomas

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