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Metabolite profiling in posttraumatic stress disorder

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Metabolite profiling in posttraumatic stress disorder. / Karabatsiakis, Alexander; Hamuni, Gilava; Wilker, Sarah et al.
In: Journal of Molecular Psychiatry, Vol. 3, No. 1, 2, 2015.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Karabatsiakis, A, Hamuni, G, Wilker, S, Kolassa, S, Renu, D, Kadereit, S, Schauer, M, Hennessy, T & Kolassa, I-T 2015, 'Metabolite profiling in posttraumatic stress disorder', Journal of Molecular Psychiatry, vol. 3, no. 1, 2. https://doi.org/10.1186/s40303-015-0007-3

APA

Karabatsiakis, A., Hamuni, G., Wilker, S., Kolassa, S., Renu, D., Kadereit, S., Schauer, M., Hennessy, T., & Kolassa, I.-T. (2015). Metabolite profiling in posttraumatic stress disorder. Journal of Molecular Psychiatry, 3(1), Article 2. https://doi.org/10.1186/s40303-015-0007-3

Vancouver

Karabatsiakis A, Hamuni G, Wilker S, Kolassa S, Renu D, Kadereit S et al. Metabolite profiling in posttraumatic stress disorder. Journal of Molecular Psychiatry. 2015;3(1):2. doi: 10.1186/s40303-015-0007-3

Author

Karabatsiakis, Alexander ; Hamuni, Gilava ; Wilker, Sarah et al. / Metabolite profiling in posttraumatic stress disorder. In: Journal of Molecular Psychiatry. 2015 ; Vol. 3, No. 1.

Bibtex

@article{20d69babb4cc481bb5f8a6c7afca077b,
title = "Metabolite profiling in posttraumatic stress disorder",
abstract = "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.",
author = "Alexander Karabatsiakis and Gilava Hamuni and Sarah Wilker and Stephan Kolassa and Durairaj Renu and Suzanne Kadereit and Maggie Schauer and Thomas Hennessy and Iris-Tatjana Kolassa",
year = "2015",
doi = "10.1186/s40303-015-0007-3",
language = "English",
volume = "3",
journal = "Journal of Molecular Psychiatry",
issn = "2049-9256",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Metabolite profiling in posttraumatic stress disorder

AU - Karabatsiakis, Alexander

AU - Hamuni, Gilava

AU - Wilker, Sarah

AU - Kolassa, Stephan

AU - Renu, Durairaj

AU - Kadereit, Suzanne

AU - Schauer, Maggie

AU - Hennessy, Thomas

AU - Kolassa, Iris-Tatjana

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

U2 - 10.1186/s40303-015-0007-3

DO - 10.1186/s40303-015-0007-3

M3 - Journal article

VL - 3

JO - Journal of Molecular Psychiatry

JF - Journal of Molecular Psychiatry

SN - 2049-9256

IS - 1

M1 - 2

ER -