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Dysregulated Lipid Metabolism Precedes Onset of Psychosis
Turku Bioscience Center, University of Turku and Åbo Akademi University, Turku, Finland.
Turku Bioscience Center, University of Turku and Åbo Akademi University, Turku, Finland.
Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Departament de Psicologia Clínica i de la Salut, Universitat Autònoma de Barcelona, Fundació Sanitària Sant Pere Claver, Spanish Mental Health Research Network, Barcelona, Spain.
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2021 (English)In: Biological Psychiatry, ISSN 0006-3223, E-ISSN 1873-2402, Vol. 89, no 3, p. 288-297Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 89, no 3, p. 288-297
Keywords [en]
At-risk mental state, Clinical high risk for psychosis, Lipid metabolism, Lipidomics, Mass spectrometry, Schizophrenia
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Psychiatry
Identifiers
URN: urn:nbn:se:oru:diva-85798DOI: 10.1016/j.biopsych.2020.07.012ISI: 000603473100014PubMedID: 32928501Scopus ID: 2-s2.0-85097451775OAI: oai:DiVA.org:oru-85798DiVA, id: diva2:1467744
Note

Funding Agencies:

European Union (EU) HEALTH-F2-2010-241909

METSY-Neuroimaging Platform for Characterization of Metabolic Comorbidities in Psychotic Disorders 602478

Medical Research Council UK (MRC)MR/J008915/1

Ministerio de Ciencia, Innovacion e Universidades PSI2017-87512-C2-1-R

Generalitat de Catalunya2017SGR1612

ICREA

Available from: 2020-09-16 Created: 2020-09-16 Last updated: 2021-01-22Bibliographically approved

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Hyötyläinen, TuuliaOresic, Matej

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