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dc.creatorDickens, Alex M.es_ES
dc.creatorSen, Parthoes_ES
dc.creatorKempton, Mattehew J.es_ES
dc.creatorBarrantes-Vidal, Neuses_ES
dc.creatorIyegbe, Conrades_ES
dc.creatorNordentoft, Meretees_ES
dc.creatorPollak, Thomases_ES
dc.creatorRiecher-Rössler, Anitaes_ES
dc.creatorRuhrmann, Stephanes_ES
dc.creatorSachs, Gabrielees_ES
dc.creatorBressan, Rodrigoes_ES
dc.creatorKrebs, Marie-Odilees_ES
dc.creatorAmminger, Paul G.es_ES
dc.creatorHaan, Lieuwe dees_ES
dc.creatorGaag, Mark van deres_ES
dc.creatorValmaggia, Luciaes_ES
dc.creatorHyötyläinen, Tuuliaes_ES
dc.creatorEU-GEI High Risk Study Groupes_ES
dc.creatorOrešič, Matejes_ES
dc.creatorMcGuire, Philipes_ES
dc.creatorDomínguez-Martínez, Tecelli
dc.date2021
dc.date.accessioned2023-08-23T18:46:41Z
dc.date.available2023-08-23T18:46:41Z
dc.date.issued2021
dc.identifierJC10DIEP20es_ES
dc.identifier.issn0006-3223
dc.identifier.urihttp://repositorio.inprf.gob.mx/handle/123456789/7735
dc.identifier.urihttps://doi.org/10.1016/j.biopsych.2020.07.012
dc.descriptionBackground: 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.es_ES
dc.formatPDFes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation89(3):288-297
dc.rightsAcceso Cerradoes_ES
dc.titleDysregulated lipid metabolism precedes onset of psychosises_ES
dc.typeArtículoes_ES
dc.contributor.affiliationTurku Bioscience Center, University of Turku and Åbo Akademi University, Turku, Finland
dc.contributor.emailmcguire@kcl.ac.uk,(Philip McGuire), atej.oresic@utu.fi. (Matej Orešič)
dc.relation.jnabreviadoBIOL PSYCHIATRY
dc.relation.journalBiological Psychiatry
dc.identifier.placeEstados Unidos
dc.date.published2021
dc.identifier.organizacionInstituto Nacional de Psiquiatría Ramón de la Fuente Muñiz
dc.identifier.eissn1873-2402
dc.identifier.doi10.1016/j.biopsych.2020.07.012
dc.subject.kwAt-risk mental state
dc.subject.kwClinical high risk for psychosis
dc.subject.kwLipid metabolism
dc.subject.kwLipidomics
dc.subject.kwMass spectrometry
dc.subject.kwSchizophrenia


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