| Literature DB >> 30527272 |
Liliana Laskaris1, Andrew Zalesky2, Cynthia Shannon Weickert3, Maria A Di Biase4, Gursharan Chana5, Bernhard T Baune6, Chad Bousman7, Barnaby Nelson8, Patrick McGorry8, Ian Everall9, Christos Pantelis10, Vanessa Cropley11.
Abstract
The complement cascade has been proposed to contribute to the pathogenesis of schizophrenia. However, it remains unclear whether peripheral complement levels differ in cases compared to controls, change over the course of illness and whether they are associated with current symptomatology. This study aimed to: i) investigate whether peripheral complement protein levels are altered at different stages of illness, and ii) identify patterns among complement protein levels that predict clinical symptoms. Complement factors C1q, C3 and C4 were quantified in 183 participants [n = 83 Healthy Controls (HC), n = 10 Ultra-High Risk (UHR) for psychosis, n = 40 First Episode Psychosis (FEP), n = 50 Chronic schizophrenia] using Multiplex ELISA. Permutation-based t-tests were used to assess between-group differences in complement protein levels at each of the three illness stages, relative to age- and gender-matched healthy controls. Canonical correlation analysis was used to identify patterns of complement protein levels that correlated with clinical symptoms. C4 was significantly increased in chronic schizophrenia patients, while C3 and C4 were significantly increased in UHR patients. There were no differences in C1q, C3 and C4 in FEP patients when adjusting for BMI. A molecular pattern of increased C4 and decreased C3 was associated with positive and negative symptom severity in the pooled patient sample. Our findings indicate that peripheral complement concentration is increased across specific stages of psychosis and its imbalance may be associated with symptom severity. Given the small sample size of the UHR group, these findings should be regarded as exploratory, requiring replication.Entities:
Keywords: Biomarkers; Complement protein; Psychosis; Schizophrenia
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Year: 2018 PMID: 30527272 DOI: 10.1016/j.schres.2018.11.035
Source DB: PubMed Journal: Schizophr Res ISSN: 0920-9964 Impact factor: 4.939