Evidence map›Paper›PMID 25848535›Full record

ArticleJournal of molecular psychiatry2015

Metabolite profiling in posttraumatic stress disorder.

Alexander Karabatsiakis, Gilava Hamuni, Sarah Wilker, Stephan Kolassa, Durairaj Renu, Suzanne Kadereit, Maggie Schauer, Thomas Hennessy, Iris-Tatjana Kolassa

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  11. The lipidome of posttraumatic stress disorder.bioRxiv : the preprint server for biology · 2024
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  17. Abnormal intestinal milieu in posttraumatic stress disorder is not impacted by treatment that improves symptoms.American journal of physiology. Gastrointestinal and liver physiology · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Alexander Karabatsiakis *Clinical & Biological Psychology, Ulm University, Albert-Einstein Allee 47, 89081 Ulm, Germany.
Gilava Hamuni *Clinical & Biological Psychology, Ulm University, Albert-Einstein Allee 47, 89081 Ulm, Germany.
Sarah Wilker *Clinical & Biological Psychology, Ulm University, Albert-Einstein Allee 47, 89081 Ulm, Germany.
Stephan KolassaSAP Switzerland AG, Tägerwilen, Switzerland.
Durairaj RenuStrand Life Sciences Pvt. Ltd., Bangalore, India.
Suzanne KadereitDepartment of Biology, University of Konstanz, Konstanz, Germany.
Maggie SchauerClinical Psychology & Neuropsychology, University of Konstanz, Konstanz, Germany.
Thomas HennessyAgilent Incorporated, Singapore, Republic of Singapore.
Iris-Tatjana KolassaClinical & Biological Psychology, Ulm University, Albert-Einstein Allee 47, 89081 Ulm, Germany.
Universität Ulm · DEUniversity of Konstanz · DEStrand Life Sciences (India) · INSystems, Applications & Products in Data Processing (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biological pathwaysGlycerophospholipidMass spectrometryMetabolite profilingPalmitoylethanolamidePosttraumatic stress disorder

Identifiers

PMID25848535
PMCPMC4367823
OpenAlexW2039883051

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.