Metabolite fingerprinting in posttraumatic stress disorder

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2016
Autor:innen
Koenig, Alexandra Maria
Karabatsiakis, Alexander
Wilker, Sarah
Kolassa, Stephan
Renu, Durairaj
Hennessy, Thomas
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Sonstiges, textgebunden (z.B. Gutachten, Blogbeiträge)
Publikationsstatus
Published
Erschienen in
Psychoneuroendocrinology. 2016, 71(Supplement), pp. 34. ISSN 0306-4530. eISSN 1873-3360. Available under: doi: 10.1016/j.psyneuen.2016.07.091
Zusammenfassung

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.

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.

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%.

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.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690KOENIG, 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. 2016, 71(Supplement), pp. 34. ISSN 0306-4530. eISSN 1873-3360. Available under: doi: 10.1016/j.psyneuen.2016.07.091
BibTex
@misc{Koenig2016Metab-36731,
  year={2016},
  doi={10.1016/j.psyneuen.2016.07.091},
  title={Metabolite fingerprinting in posttraumatic stress disorder},
  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}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36731">
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dcterms:issued>2016</dcterms:issued>
    <dc:contributor>Koenig, Alexandra Maria</dc:contributor>
    <dc:contributor>Wilker, Sarah</dc:contributor>
    <dc:creator>Wilker, Sarah</dc:creator>
    <dc:creator>Kadereit, Suzanne</dc:creator>
    <dc:creator>Renu, Durairaj</dc:creator>
    <dc:creator>Koenig, Alexandra Maria</dc:creator>
    <dc:contributor>Hamuni, Gilava</dc:contributor>
    <dc:creator>Hennessy, Thomas</dc:creator>
    <dc:creator>Kolassa, Iris-Tatjana</dc:creator>
    <dcterms:title>Metabolite fingerprinting in posttraumatic stress disorder</dcterms:title>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Hamuni, Gilava</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/36731"/>
    <dc:contributor>Hennessy, Thomas</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-01-17T11:27:46Z</dcterms:available>
    <dc:creator>Schauer, Maggie</dc:creator>
    <dc:contributor>Kolassa, Stephan</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:creator>Karabatsiakis, Alexander</dc:creator>
    <dc:creator>Kolassa, Stephan</dc:creator>
    <dc:contributor>Renu, Durairaj</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Kolassa, Iris-Tatjana</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-01-17T11:27:46Z</dc:date>
    <dc:language>eng</dc:language>
    <dc:contributor>Kadereit, Suzanne</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:contributor>Karabatsiakis, Alexander</dc:contributor>
    <dcterms:abstract xml:lang="eng">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.&lt;br /&gt;&lt;br /&gt;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.&lt;br /&gt;&lt;br /&gt;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%.&lt;br /&gt;&lt;br /&gt;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.</dcterms:abstract>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dc:contributor>Schauer, Maggie</dc:contributor>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen