| Literature DB >> 32898636 |
Santiago G Lago1, Jakub Tomasik1, Geertje F van Rees1, Marina Rubey1, Emiliano Gonzalez-Vioque1, Jordan M Ramsey1, Frieder Haenisch1, Jantine A Broek1, Javier Vázquez-Bourgon2, Sergi Papiol3, Paula Suarez-Pinilla2, Tillmann Ruland4, Bonnie Auyeug5, Olya Mikova6, Nikolett Kabacs7, Volker Arolt4, Simon Baron-Cohen5, Benedicto Crespo-Facorro8, Sabine Bahn9.
Abstract
Recent evidence suggests that comorbidities between neuropsychiatric conditions and metabolic syndrome may precede and even exacerbate long-term side-effects of psychiatric medication, such as a higher risk of type 2 diabetes and cardiovascular disease, which result in increased mortality. In the present study we compare the expression of key metabolic proteins, including the insulin receptor (CD220), glucose transporter 1 (GLUT1) and fatty acid translocase (CD36), on peripheral blood mononuclear cell subtypes from patients across the neuropsychiatric spectrum, including schizophrenia, bipolar disorder, major depression and autism spectrum conditions (n = 25/condition), relative to typical controls (n = 100). This revealed alterations in the expression of these proteins that were specific to schizophrenia. Further characterization of metabolic alterations in an extended cohort of first-onset antipsychotic drug-naïve schizophrenia patients (n = 58) and controls (n = 63) revealed that the relationship between insulin receptor expression in monocytes and physiological insulin sensitivity was disrupted in schizophrenia and that altered expression of the insulin receptor was associated with whole genome polygenic risk scores for schizophrenia. Finally, longitudinal follow-up of the schizophrenia patients over the course of antipsychotic drug treatment revealed that peripheral metabolic markers predicted changes in psychopathology and the principal side effect of weight gain at clinically relevant time points. These findings suggest that peripheral blood cells can provide an accessible surrogate model for metabolic alterations in schizophrenia and have the potential to stratify subgroups of patients with different clinical outcomes or a greater risk of developing metabolic complications following antipsychotic therapy.Entities:
Keywords: Antipsychotic treatment; Cell surface marker; Flow cytometry; Homeostasis model assessment; Insulin sensitivity; Metabolic syndrome; Neuropsychiatric conditions; Peripheral blood mononuclear cell; Polygenic risk score; Response prediction; Weight gain
Year: 2020 PMID: 32898636 DOI: 10.1016/j.bbi.2020.07.043
Source DB: PubMed Journal: Brain Behav Immun ISSN: 0889-1591 Impact factor: 7.217