Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractControl of the Intrinsic Sensor Response to Volatile Organic Compounds with Fringing Electric Fields    Next AbstractMaternal factors as determinants of food intake during the suckling period »

J Psychiatry Neurosci


Title:Gut-brain axis volatile organic compounds derived from breath distinguish between schizophrenia and major depressive disorder
Author(s):Henning D; Luno M; Jiang C; Meyer-Lotz G; Hoeschen C; Frodl T;
Address:"From the Department of Psychiatry and Psychotherapy, University Hospital Magdeburg, Otto von Guericke University Magdeburg, Magdeburg, Germany (Henning, Luno, Jiang, Meyer-Lotz, Frodl); the Institute of Medicine Technics, Otto von Guericke University Magdeburg, Magdeburg, Germany (Hoeschen); the Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Aachen, RWTH Aachen University, Aachen, Germany (Frodl). From the Department of Psychiatry and Psychotherapy, University Hospital Magdeburg, Otto von Guericke University Magdeburg, Magdeburg, Germany (Henning, Luno, Jiang, Meyer-Lotz, Frodl); the Institute of Medicine Technics, Otto von Guericke University Magdeburg, Magdeburg, Germany (Hoeschen); the Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Aachen, RWTH Aachen University, Aachen, Germany (Frodl) tfrodl@ukaachen.de"
Journal Title:J Psychiatry Neurosci
Year:2023
Volume:20230412
Issue:2
Page Number:E117 - E125
DOI: 10.1503/jpn.220139
ISSN/ISBN:1488-2434 (Electronic) 1180-4882 (Print) 1180-4882 (Linking)
Abstract:"BACKGROUND: Signatures from the metabolome and microbiome have already been introduced as candidates for diagnostic and treatment support. The aim of this study was to investigate the utility of volatile organic compounds (VOCs) from the breath for detection of schizophrenia and depression. METHODS: Patients with a diagnosis of major depressive disorder (MDD) or schizophrenia, as well as healthy controls, were recruited to participate. After being clinically assessed and receiving instruction, each participant independently collected breath samples for subsequent examination by proton transfer-reaction mass spectrometry. RESULTS: The sample consisted of 104 participants: 36 patients with MDD, 34 patients with schizophrenia and 34 healthy controls. Through mixed-model and deep learning analyses, 5 VOCs contained in the participants' breath samples were detected that significantly differentiated between diagnostic groups and healthy controls, namely VOCs with mass-to-charge ratios (m/z) 60, 69, 74, 88 and 90, which had classification accuracy of 76.8% to distinguish participants with MDD from healthy controls, 83.6% to distinguish participants with schizophrenia from healthy controls and 80.9% to distinguish participants with MDD from those with schizophrenia. No significant associations with medication, illness duration, age of onset or time in hospital were detected for these VOCs. LIMITATIONS: The sample size did not allow generalization, and confounders such as nutrition and medication need to be tested. CONCLUSION: This study established promising results for the use of human breath gas for detection of schizophrenia and MDD. Two VOCs, 1 with m/z 60 (identified as trimethylamine) and 1 with m/z 90 (identified as butyric acid) could then be further connected to the interworking of the microbiota-gut-brain axis"
Keywords:"Humans *Volatile Organic Compounds/analysis *Depressive Disorder, Major/diagnosis *Schizophrenia/diagnosis Brain-Gut Axis;"
Notes:"MedlineHenning, Dariush Luno, Marian Jiang, Carina Meyer-Lotz, Gabriela Hoeschen, Christoph Frodl, Thomas eng Research Support, Non-U.S. Gov't Canada 2023/04/13 J Psychiatry Neurosci. 2023 Apr 12; 48(2):E117-E125. doi: 10.1503/jpn.220139. Print 2023 Mar-Apr"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 27-12-2024