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Abstract
Immunological/inflammatory factors are implicated in the development of psychosis. Complement is a key driver of inflammation; however, it remains unknown which factor is better at predicting the onset of psychosis. This study aimed to compare the alteration and predictive performance of inflammation and complement in individuals at clinical high risk (CHR). We enrolled 49 individuals at CHR and 26 healthy controls (HCs). Twenty-five patients at CHR had converted to psychosis (converter) by the 3-year follow-up. Inflammatory cytokines, including interleukin (IL)-1β, 6, 8, 10, tumor necrosis factor-alpha (TNF-alpha), macrophage colony-stimulating factor levels, and complement proteins (C1q, C2, C3, C3b, C4, C4b, C5, C5a, factor B, D, I, H) were measured by enzyme-linked immunosorbent assay at baseline. Except for TNF- alpha, none of the inflammatory cytokines reached a significant level in either the comparison of CHR individuals and HC or between CHR-converters and non-converters. The C5, C3, D, I, and H levels were significantly lower (C5, p = 0.006; C3, p = 0.009; D, p = 0.026; I, p = 0.016; H, p = 0.019) in the CHR group than in the HC group. Compared to non-converters, converters had significantly lower levels of C5 (p = 0.012) and C5a (p = 0.007). None of the inflammatory factors, but many complement factors, showed significant correlations with changes in general function and symptoms. None of the inflammatory markers, except for C5a and C5, were significant in the discrimination of conversion outcomes in CHR individuals. Our results suggest that altered complement levels in the CHR population are more associated with conversion to psychosis than inflammatory factors. Therefore, an activated complement system may precede the first-episode of psychosis and contribute to neurological pathogenesis at the CHR stage.
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1 Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai, PR China (GRID:grid.415630.5) (ISNI:0000 0004 1782 6212)
2 Shanghai Jiao Tong University, Department of Automation, Shanghai, PR China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)
3 Shanghai Jiao Tong University, Department of Automation, Shanghai, PR China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293); University of Waterloo, Big Data Research Lab, Waterloo, Canada (GRID:grid.46078.3d) (ISNI:0000 0000 8644 1405); Harvard University, Labor and Worklife Program, Cambridge, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
4 Shanghai Jiao Tong University, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai, PR China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)
5 Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai, PR China (GRID:grid.415630.5) (ISNI:0000 0004 1782 6212); Chinese Academy of Science, Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Beijing, PR China (GRID:grid.9227.e) (ISNI:0000000119573309); Shanghai Jiao Tong University, Brain Science and Technology Research Center, Shanghai, PR China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)