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Dysregulated Lipid Metabolism Precedes Onset of Psychosis

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EU-GEI High Risk Study Group. / Dysregulated Lipid Metabolism Precedes Onset of Psychosis. I: Biological Psychiatry. 2021 ; Bind 89, Nr. 3. s. 288-297.

Bibtex

@article{7e83d4707fb3454fabb777f7c1cecdb1,
title = "Dysregulated Lipid Metabolism Precedes Onset of Psychosis",
abstract = "BACKGROUND: A key clinical challenge in the management of individuals at clinical high risk for psychosis (CHR) is that it is difficult to predict their future clinical outcomes. Here, we investigated if the levels of circulating molecular lipids are related to adverse clinical outcomes in this group.METHODS: Serum lipidomic analysis was performed in 263 CHR individuals and 51 healthy control subjects, who were then clinically monitored for up to 5 years. Machine learning was used to identify lipid profiles that discriminated between CHR and control subjects, and between subgroups of CHR subjects with distinct clinical outcomes.RESULTS: At baseline, compared with control subjects, CHR subjects (independent of outcome) had higher levels of triacylglycerols with a low acyl carbon number and a double bond count, as well as higher levels of lipids in general. CHR subjects who subsequently developed psychosis (n = 50) were distinguished from those that did not (n = 213) on the basis of lipid profile at baseline using a model with an area under the receiver operating curve of 0.81 (95% confidence interval = 0.69-0.93). CHR subjects who became psychotic had lower levels of ether phospholipids than CHR individuals who did not (p < .01).CONCLUSIONS: Collectively, these data suggest that lipidomic abnormalities predate the onset of psychosis and that blood lipidomic measures may be useful in predicting which CHR individuals are most likely to develop psychosis.",
keywords = "At-risk mental state, Clinical high risk for psychosis, Lipid metabolism, Lipidomics, Mass spectrometry, Schizophrenia",
author = "Dickens, {Alex M} and Partho Sen and Kempton, {Matthew J} and Neus Barrantes-Vidal and Conrad Iyegbe and Merete Nordentoft and Thomas Pollak and Anita Riecher-R{\"o}ssler and Stephan Ruhrmann and Gabriele Sachs and Rodrigo Bressan and Marie-Odile Krebs and Amminger, {G Paul} and {de Haan}, Lieuwe and {van der Gaag}, Mark and Lucia Valmaggia and Tuulia Hy{\"o}tyl{\"a}inen and Matej Ore{\v s}i{\v c} and Philip McGuire and {EU-GEI High Risk Study Group}",
note = "Copyright {\textcopyright} 2020 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.",
year = "2021",
month = feb,
day = "1",
doi = "10.1016/j.biopsych.2020.07.012",
language = "English",
volume = "89",
pages = "288--297",
journal = "Biological Psychiatry",
issn = "0006-3223",
publisher = "Elsevier Inc",
number = "3",

}

RIS

TY - JOUR

T1 - Dysregulated Lipid Metabolism Precedes Onset of Psychosis

AU - Dickens, Alex M

AU - Sen, Partho

AU - Kempton, Matthew J

AU - Barrantes-Vidal, Neus

AU - Iyegbe, Conrad

AU - Nordentoft, Merete

AU - Pollak, Thomas

AU - Riecher-Rössler, Anita

AU - Ruhrmann, Stephan

AU - Sachs, Gabriele

AU - Bressan, Rodrigo

AU - Krebs, Marie-Odile

AU - Amminger, G Paul

AU - de Haan, Lieuwe

AU - van der Gaag, Mark

AU - Valmaggia, Lucia

AU - Hyötyläinen, Tuulia

AU - Orešič, Matej

AU - McGuire, Philip

AU - EU-GEI High Risk Study Group

N1 - Copyright © 2020 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

PY - 2021/2/1

Y1 - 2021/2/1

N2 - BACKGROUND: A key clinical challenge in the management of individuals at clinical high risk for psychosis (CHR) is that it is difficult to predict their future clinical outcomes. Here, we investigated if the levels of circulating molecular lipids are related to adverse clinical outcomes in this group.METHODS: Serum lipidomic analysis was performed in 263 CHR individuals and 51 healthy control subjects, who were then clinically monitored for up to 5 years. Machine learning was used to identify lipid profiles that discriminated between CHR and control subjects, and between subgroups of CHR subjects with distinct clinical outcomes.RESULTS: At baseline, compared with control subjects, CHR subjects (independent of outcome) had higher levels of triacylglycerols with a low acyl carbon number and a double bond count, as well as higher levels of lipids in general. CHR subjects who subsequently developed psychosis (n = 50) were distinguished from those that did not (n = 213) on the basis of lipid profile at baseline using a model with an area under the receiver operating curve of 0.81 (95% confidence interval = 0.69-0.93). CHR subjects who became psychotic had lower levels of ether phospholipids than CHR individuals who did not (p < .01).CONCLUSIONS: Collectively, these data suggest that lipidomic abnormalities predate the onset of psychosis and that blood lipidomic measures may be useful in predicting which CHR individuals are most likely to develop psychosis.

AB - BACKGROUND: A key clinical challenge in the management of individuals at clinical high risk for psychosis (CHR) is that it is difficult to predict their future clinical outcomes. Here, we investigated if the levels of circulating molecular lipids are related to adverse clinical outcomes in this group.METHODS: Serum lipidomic analysis was performed in 263 CHR individuals and 51 healthy control subjects, who were then clinically monitored for up to 5 years. Machine learning was used to identify lipid profiles that discriminated between CHR and control subjects, and between subgroups of CHR subjects with distinct clinical outcomes.RESULTS: At baseline, compared with control subjects, CHR subjects (independent of outcome) had higher levels of triacylglycerols with a low acyl carbon number and a double bond count, as well as higher levels of lipids in general. CHR subjects who subsequently developed psychosis (n = 50) were distinguished from those that did not (n = 213) on the basis of lipid profile at baseline using a model with an area under the receiver operating curve of 0.81 (95% confidence interval = 0.69-0.93). CHR subjects who became psychotic had lower levels of ether phospholipids than CHR individuals who did not (p < .01).CONCLUSIONS: Collectively, these data suggest that lipidomic abnormalities predate the onset of psychosis and that blood lipidomic measures may be useful in predicting which CHR individuals are most likely to develop psychosis.

KW - At-risk mental state

KW - Clinical high risk for psychosis

KW - Lipid metabolism

KW - Lipidomics

KW - Mass spectrometry

KW - Schizophrenia

UR - http://www.scopus.com/inward/record.url?scp=85097451775&partnerID=8YFLogxK

U2 - 10.1016/j.biopsych.2020.07.012

DO - 10.1016/j.biopsych.2020.07.012

M3 - Journal article

C2 - 32928501

VL - 89

SP - 288

EP - 297

JO - Biological Psychiatry

JF - Biological Psychiatry

SN - 0006-3223

IS - 3

ER -

ID: 61716633