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Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders

Metabolomics has yielded promising insights into the pathophysiology of post-traumatic stress disorder (PTSD). The current study expands understanding of the systems-level effects of metabolites by using global metabolomics and complex lipid profiling in plasma samples from 124 World Trade Center re...

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Autores principales: Kuan, Pei-Fen, Yang, Xiaohua, Kotov, Roman, Clouston, Sean, Bromet, Evelyn, Luft, Benjamin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050707/
https://www.ncbi.nlm.nih.gov/pubmed/35484105
http://dx.doi.org/10.1038/s41398-022-01940-y
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author Kuan, Pei-Fen
Yang, Xiaohua
Kotov, Roman
Clouston, Sean
Bromet, Evelyn
Luft, Benjamin J.
author_facet Kuan, Pei-Fen
Yang, Xiaohua
Kotov, Roman
Clouston, Sean
Bromet, Evelyn
Luft, Benjamin J.
author_sort Kuan, Pei-Fen
collection PubMed
description Metabolomics has yielded promising insights into the pathophysiology of post-traumatic stress disorder (PTSD). The current study expands understanding of the systems-level effects of metabolites by using global metabolomics and complex lipid profiling in plasma samples from 124 World Trade Center responders (56 PTSD, 68 control) on 1628 metabolites. Differential metabolomics analysis identified hexosylceramide HCER(26:1) associated with PTSD at FDR < 0.1. The multi-metabolite composite score achieved an AUC of 0.839 for PTSD versus unaffected control classification. Independent component analysis identified three metabolomic modules significantly associated with PTSD. These modules were significantly enriched in bile acid metabolism, fatty acid metabolism and pregnenolone steroids, which are involved in innate immunity, inflammatory process and neuronal excitability, respectively. Integrative analysis of metabolomics and our prior proteomics datasets on subsample of 96 responders identified seven proteomic modules significantly correlated with metabolic modules. Overall, our findings shed light on the molecular alterations and identify metabolomic-proteomic signatures associated with PTSD by using machine learning and network approaches to enhance understanding of the pathways implicated in PTSD. If present results are confirmed in follow-up studies, they may inform development of novel treatments.
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spelling pubmed-90507072022-04-30 Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders Kuan, Pei-Fen Yang, Xiaohua Kotov, Roman Clouston, Sean Bromet, Evelyn Luft, Benjamin J. Transl Psychiatry Article Metabolomics has yielded promising insights into the pathophysiology of post-traumatic stress disorder (PTSD). The current study expands understanding of the systems-level effects of metabolites by using global metabolomics and complex lipid profiling in plasma samples from 124 World Trade Center responders (56 PTSD, 68 control) on 1628 metabolites. Differential metabolomics analysis identified hexosylceramide HCER(26:1) associated with PTSD at FDR < 0.1. The multi-metabolite composite score achieved an AUC of 0.839 for PTSD versus unaffected control classification. Independent component analysis identified three metabolomic modules significantly associated with PTSD. These modules were significantly enriched in bile acid metabolism, fatty acid metabolism and pregnenolone steroids, which are involved in innate immunity, inflammatory process and neuronal excitability, respectively. Integrative analysis of metabolomics and our prior proteomics datasets on subsample of 96 responders identified seven proteomic modules significantly correlated with metabolic modules. Overall, our findings shed light on the molecular alterations and identify metabolomic-proteomic signatures associated with PTSD by using machine learning and network approaches to enhance understanding of the pathways implicated in PTSD. If present results are confirmed in follow-up studies, they may inform development of novel treatments. Nature Publishing Group UK 2022-04-28 /pmc/articles/PMC9050707/ /pubmed/35484105 http://dx.doi.org/10.1038/s41398-022-01940-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kuan, Pei-Fen
Yang, Xiaohua
Kotov, Roman
Clouston, Sean
Bromet, Evelyn
Luft, Benjamin J.
Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders
title Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders
title_full Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders
title_fullStr Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders
title_full_unstemmed Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders
title_short Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders
title_sort metabolomics analysis of post-traumatic stress disorder symptoms in world trade center responders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050707/
https://www.ncbi.nlm.nih.gov/pubmed/35484105
http://dx.doi.org/10.1038/s41398-022-01940-y
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