Bing Cao1, Dongfang Wang2, Zihang Pan3, Roger S McIntyre3,4, Elisa Brietzke3,5, Mehala Subramanieapillai3, Yasaman Nozari3, Jingyu Wang1,6,7. 1. Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, P. R. China. 2. Chongqing Blood center, Chongqing, P. R. China. 3. Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, ON, Canada. 4. Brain and Cognition Discovery Foundation, Toronto, ON, Canada. 5. Department of Psychiatry, Federal University of São Paulo, São Paulo, SP, Brazil. 6. Beijing Key Laboratory of Toxicological Research, Risk Assessment for Food Safety, Beijing, P. R. China. 7. Peking University Medical and Health Analysis Center, Peking University, Beijing, P. R. China.
Abstract
Objectives: Objective measures integrated with clinical symptoms may improve early prevention and detection of schizophrenia. Herein we aim to evaluate potential water-soluble metabolic biomarkers in schizophrenia. Methods: We recruited adults with schizophrenia (n = 113) who had not received pharmacological treatment for at least 1 month prior to enrollment and 111 age- and sex-matched healthy subjects from Weifang, Shandong province, China. All serum samples were analysed using liquid chromatography-tandem mass spectrometry coupled with a hydrophilic interaction liquid chromatography column. Results: Eleven metabolites, namely carnitines (oleoylcarnitine, l-palmitoylcarnitine, 9-decenoylcarnitine and 2-trans,4-cis-decadienoylcarnitine), polar lipids (lysophosphatidylcholine (LPC)(P-16:0), LPC (16:0), LPC (15:0) and LPC(14:0)), amino acids (taurine and l-arginine), and organic acid (2,5-dichloro-4-oxohex-2-enedioate), separated the patients and healthy controls. Compared with healthy controls, taurine, l-palmitoylcarnitine and oleoylcarnitine levels were higher, whereas the remaining eight metabolites were lower in patients with schizophrenia. A combination of four metabolites, i.e., oleoylcarnitine, 9-decenoylcarnitine, LPC (15:0) and LPC (14:0), provided the most robust between-group separation.Conclusions: This study appears to distinguish between groups of patients and controls, which should be considered as a contribution to putative potential biomarkers. The water-soluble metabolites were determined to be significantly different between the groups in the current study, and were primarily related to cellular bioenergetics, notably oxidative stress.
Objectives: Objective measures integrated with clinical symptoms may improve early prevention and detection of schizophrenia. Herein we aim to evaluate potential water-soluble metabolic biomarkers in schizophrenia. Methods: We recruited adults with schizophrenia (n = 113) who had not received pharmacological treatment for at least 1 month prior to enrollment and 111 age- and sex-matched healthy subjects from Weifang, Shandong province, China. All serum samples were analysed using liquid chromatography-tandem mass spectrometry coupled with a hydrophilic interaction liquid chromatography column. Results: Eleven metabolites, namely carnitines (oleoylcarnitine, l-palmitoylcarnitine, 9-decenoylcarnitine and 2-trans,4-cis-decadienoylcarnitine), polar lipids (lysophosphatidylcholine (LPC)(P-16:0), LPC (16:0), LPC (15:0) and LPC(14:0)), amino acids (taurine and l-arginine), and organic acid (2,5-dichloro-4-oxohex-2-enedioate), separated the patients and healthy controls. Compared with healthy controls, taurine, l-palmitoylcarnitine and oleoylcarnitine levels were higher, whereas the remaining eight metabolites were lower in patients with schizophrenia. A combination of four metabolites, i.e., oleoylcarnitine, 9-decenoylcarnitine, LPC (15:0) and LPC (14:0), provided the most robust between-group separation.Conclusions: This study appears to distinguish between groups of patients and controls, which should be considered as a contribution to putative potential biomarkers. The water-soluble metabolites were determined to be significantly different between the groups in the current study, and were primarily related to cellular bioenergetics, notably oxidative stress.
Authors: Manuel Föcker; Alexander Cecil; Cornelia Prehn; Jerzy Adamski; Muriel Albrecht; Frederike Adams; Anke Hinney; Lars Libuda; Judith Bühlmeier; Johannes Hebebrand; Triinu Peters; Jochen Antel Journal: Metabolites Date: 2020-12-24
Authors: Fiona A Hagenbeek; Peter J Roetman; René Pool; Cornelis Kluft; Amy C Harms; Jenny van Dongen; Olivier F Colins; Simone Talens; Catharina E M van Beijsterveldt; Marjolein M L J Z Vandenbosch; Eveline L de Zeeuw; Sébastien Déjean; Vassilios Fanos; Erik A Ehli; Gareth E Davies; Jouke Jan Hottenga; Thomas Hankemeier; Meike Bartels; Robert R J M Vermeiren; Dorret I Boomsma Journal: Front Psychiatry Date: 2020-03-31 Impact factor: 4.157
Authors: Madis Parksepp; Liisa Leppik; Kadri Koch; Kärt Uppin; Raul Kangro; Liina Haring; Eero Vasar; Mihkel Zilmer Journal: Sci Rep Date: 2020-08-19 Impact factor: 4.379