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 AbstractGenetic and molecular studies of olfaction in Drosophila    Next Abstract"Floral characteristics affect susceptibility of hybrid tea roses, Rosa x hybrida, to Japanese beetles (Coleoptera: Scarabaeidae)" »

Molecules


Title:Dynamic Stability of Volatile Organic Compounds in Respiratory Air in Schizophrenic Patients and Its Potential Predicting Efficacy of TAAR Agonists
Author(s):Held A; Henning D; Jiang C; Hoeschen C; Frodl T;
Address:"Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital, RWTH Aachen, 52074 Aachen, Germany. Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg (OVGU), 39106 Magdeburg, Germany. Institute of Medical Engineering, Otto von Guericke University Magdeburg (OVGU), 39106 Magdeburg, Germany"
Journal Title:Molecules
Year:2023
Volume:20230527
Issue:11
Page Number: -
DOI: 10.3390/molecules28114385
ISSN/ISBN:1420-3049 (Electronic) 1420-3049 (Linking)
Abstract:"OBJECTIVES: Volatile organic compounds (VOCs) in the breathing air were found to be altered in schizophrenia patients compared to healthy participants. The aim of this study was to confirm these findings and to examine for the first time whether these VOCs are stable or change in concentration during the early treatment course. Moreover, it was investigated whether there is a correlation of the VOCs with the existing psychopathology of schizophrenia patients, i.e., whether the concentration of masses detected in the breath gas changes when the psychopathology of the participants changes. METHODS: The breath of a total of 22 patients with schizophrenia disorder was examined regarding the concentration of VOCs using proton transfer reaction mass spectrometry. The measurements were carried out at baseline and after two weeks at three different time points, the first time immediately after waking up in the morning, after 30 min, and then after 60 min. Furthermore, 22 healthy participants were investigated once as a control group. RESULTS: Using bootstrap mixed model analyses, significant concentration differences were found between schizophrenia patients and healthy control participants (m/z 19, 33, 42, 59, 60, 69, 74, 89, and 93). Moreover, concentration differences were detected between the sexes for masses m/z 42, 45, 57, 69, and 91. Mass m/z 67 and 95 showed significant temporal changes with decreasing concentration during awakening. Significant temporal change over two weeks of treatment could not be detected for any mass. Masses m/z 61, 71, 73, and 79 showed a significant relationship to the respective olanzapine equivalents. The length of hospital stay showed no significant relationship to the masses studied. CONCLUSION: Breath gas analysis is an easy-to-use method to detect differences in VOCs in the breath of schizophrenia patients with high temporal stability. m/z 60 corresponding to trimethylamine might be of potential interest because of its natural affinity to TAAR receptors, currently a novel therapeutic target under investigation. Overall, breath signatures seemed to stable over time in patients with schizophrenia. In the future, the development of a biomarker could potentially have an impact on the early detection of the disease, treatment, and, thus, patient outcome"
Keywords:Humans *Volatile Organic Compounds/analysis Gas Chromatography-Mass Spectrometry/methods Mass Spectrometry Biomarkers Breath Tests/methods breath-analysis schizophrenia volatile organic compounds;
Notes:"MedlineHeld, Anna Henning, Dariush Jiang, Carina Hoeschen, Christoph Frodl, Thomas eng 825111/European Union/ Switzerland 2023/06/10 Molecules. 2023 May 27; 28(11):4385. doi: 10.3390/molecules28114385"

 
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 04-12-2024