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dc.contributor.authorZaki, Jihan K.es_ES
dc.contributor.authorLago, Santiago G.es_ES
dc.contributor.authorRustogi, Nitines_ES
dc.contributor.authorGangadin, Shiral S.es_ES
dc.contributor.authorBenacek, Jiries_ES
dc.contributor.authorRees, Geertje F. vanes_ES
dc.contributor.authorHaenisch, Friederes_ES
dc.contributor.authorBroek, Jantine A.es_ES
dc.contributor.authorSuárez Pinilla, Paula es_ES
dc.contributor.authorRuland, Tillmannes_ES
dc.contributor.authorAuyeung, Bonniees_ES
dc.contributor.authorMikova, Olyaes_ES
dc.contributor.authorKabacs, Nikolettes_ES
dc.contributor.authorArolt, Volkeres_ES
dc.contributor.authorBaron Cohen, Simones_ES
dc.contributor.authorCrespo Facorro, Benedicto es_ES
dc.contributor.authorDrexhage, Hemmo A.es_ES
dc.contributor.authorWitte, Lot D. dees_ES
dc.contributor.authorKahn, René S.es_ES
dc.contributor.authorSommer, Iris E.es_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-02-24T15:17:57Z
dc.date.available2023-02-24T15:17:57Z
dc.date.issued2022-10es_ES
dc.identifier.issn2158-3188es_ES
dc.identifier.otherSAF2016?76046-R; SAF2013?46292-Res_ES
dc.identifier.urihttps://hdl.handle.net/10902/27901
dc.description.abstractA significant proportion of the personal and economic burden of schizophrenia can be attributed to the late diagnosis or misdiagnosis of the disorder. A novel, objective diagnostic approaches could facilitate the early detection and treatment of schizophrenia and improve patient outcomes. In the present study, we aimed to identify robust schizophrenia-specific blood biomarkers, with the goal of developing an accurate diagnostic model. The levels of selected serum and peripheral blood mononuclear cell (PBMC) markers relevant to metabolic and immune function were measured in healthy controls (n?=?26) and recent-onset schizophrenia patients (n?=?36) using multiplexed immunoassays and flow cytometry. Analysis of covariance revealed significant upregulation of insulin receptor (IR) and fatty acid translocase (CD36) levels in T helper cells (F?=?10.75, P?=?0.002, Q?=?0.024 and F?=?21.58, P?=?2.8?×?10?5, Q?=?0.0004, respectively), as well as downregulation of glucose transporter 1 (GLUT1) expression in monocytes (F?=?21.46, P?=?2.9?×?10?5, Q?=?0.0004). The most robust predictors, monocyte GLUT1 and T helper cell CD36, were used to develop a diagnostic model, which showed a leave-one-out cross-validated area under the receiver operating characteristic curve (AUC) of 0.78 (95% CI: 0.66?0.92). The diagnostic model was validated in two independent datasets. The model was able to distinguish first-onset, drug-naïve schizophrenia patients (n?=?34) from healthy controls (n?=?39) with an AUC of 0.75 (95% CI: 0.64?0.86), and also differentiated schizophrenia patients (n?=?22) from patients with other neuropsychiatric conditions, including bipolar disorder, major depressive disorder and autism spectrum disorder (n?=?68), with an AUC of 0.83 (95% CI: 0.75?0.92). These findings indicate that PBMC-derived biomarkers have the potential to support an accurate and objective differential diagnosis of schizophrenia.es_ES
dc.description.sponsorshipACKNOWLEDGEMENTS: We are grateful to the participants and their families for their cooperation in this study. We would like to thank blood donors and the clinical centres, for the provision of biological samples, in addition, to supporting staff at the affiliated institutions. We also thank IDIVAL biobank (Inés Santiuste and Jana Arozamena) and UMCU Biobank for clinical sample and data preparation, as well as the PAFIP members for the data collection. This work was supported by the Stanley Medical Research Institute (grant number: 12T-008) and the Dutch Research Council (NWO; grant number: 40–00812–98–12154) received by IES; by grants to SB from the Stanley Medical Research Institute (SMRI) and the Engineering and Physical Sciences Research Council UK (EPSRC); and by grants to BC-F: SAF2016–76046-R and SAF2013–46292-R (MINECO) and PI16/00156 (ISCIII and FEDER).es_ES
dc.format.extent10 p.es_ES
dc.language.isoenges_ES
dc.publisherNature Pub. Groupes_ES
dc.rightsAttribution 4.0 International*
dc.rights© The Author(s) 2022es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceTranslational Psychiatry (2022) 12:457es_ES
dc.titleDiagnostic model development for schizophrenia based on peripheral blood mononuclear cell subtype-specific expression of metabolic markerses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1038/s41398-022-02229-wes_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1038/s41398-022-02229-wes_ES
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International