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Metabolite profiling in posttraumatic stress disorder
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367823/ https://www.ncbi.nlm.nih.gov/pubmed/25848535 http://dx.doi.org/10.1186/s40303-015-0007-3 |
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author | Karabatsiakis, Alexander Hamuni, Gilava Wilker, Sarah Kolassa, Stephan Renu, Durairaj Kadereit, Suzanne Schauer, Maggie Hennessy, Thomas Kolassa, Iris-Tatjana |
author_facet | Karabatsiakis, Alexander Hamuni, Gilava Wilker, Sarah Kolassa, Stephan Renu, Durairaj Kadereit, Suzanne Schauer, Maggie Hennessy, Thomas Kolassa, Iris-Tatjana |
author_sort | Karabatsiakis, Alexander |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40303-015-0007-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4367823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43678232015-04-06 Metabolite profiling in posttraumatic stress disorder Karabatsiakis, Alexander Hamuni, Gilava Wilker, Sarah Kolassa, Stephan Renu, Durairaj Kadereit, Suzanne Schauer, Maggie Hennessy, Thomas Kolassa, Iris-Tatjana J Mol Psychiatry Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40303-015-0007-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-08 /pmc/articles/PMC4367823/ /pubmed/25848535 http://dx.doi.org/10.1186/s40303-015-0007-3 Text en © Karabatsiakis et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Karabatsiakis, Alexander Hamuni, Gilava Wilker, Sarah Kolassa, Stephan Renu, Durairaj Kadereit, Suzanne Schauer, Maggie Hennessy, Thomas Kolassa, Iris-Tatjana Metabolite profiling in posttraumatic stress disorder |
title | Metabolite profiling in posttraumatic stress disorder |
title_full | Metabolite profiling in posttraumatic stress disorder |
title_fullStr | Metabolite profiling in posttraumatic stress disorder |
title_full_unstemmed | Metabolite profiling in posttraumatic stress disorder |
title_short | Metabolite profiling in posttraumatic stress disorder |
title_sort | metabolite profiling in posttraumatic stress disorder |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367823/ https://www.ncbi.nlm.nih.gov/pubmed/25848535 http://dx.doi.org/10.1186/s40303-015-0007-3 |
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