Five differentially expressed proteins were identified to serve as potential blood biomarkers for schizophrenia screening based on proteomics

Ronghua Li¹Xiaoqian Fu²Chuanwei Li¹Lian Yuan¹Yaozhi Liu³Lin Yang⁴Xiaojia Fang⁵Xiaobin Zhang¹Guangya Zhang¹Xiangdong Du^1*

• ¹Suzhou Guangji Hospital; The Affiliated Guangji Hospital of Soochow University, Suzhou, China
• ²Medical College of Soochow University；The Affiliated Guangji Hospital of Soochow University, Suzhou Guangji Hospital, Suzhou, China
• ³School of Psychiatry, North Sichuan Medical College, Nanchong, China
• ⁴Medical College of Soochow University；Suzhou Guangji Hospital; The Affiliated Guangji Hospital of Soochow University, Suzhou, China
• ⁵Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China

Schizophrenia is a multifactorial neuropsychiatric disorder characterized by a wide range of debilitating symptoms and relatively poor clinical outcome, bringing a huge burden of disease. However, the underlying pathological mechanism of this disease remains unclear. We aimed to use mass spectrometry to complete proteomics analysis to find biomarkers related to schizophrenia in peripheral blood, which can provide some biomarker for the pathology, diagnosis or treatment of schizophrenia and the focus of future research. This study was a cross-sectional case-control study involving 46 patients with schizophrenia and 43 healthy controls. All subjects were collected early morning fasting cubital venous blood, completed the collection of general demographic data and clinical scale evaluation. At last, the blood samples of all subjects were subjected to mass spectrometry analysis, combined with bioinformatics analysis, to identify and screen differential proteins. Using nominal P<0.05 (uncorrected) and fold change > 1.5 or < 0.67, 34 proteins were prioritized, among which 22 proteins were up-regulated and 12 were down-regulated;these candidates require false discovery rate controlled verification. Gene ontology over-representation analysis suggested trends in cellular component organization and cell adhesion molecule binding, with no false discovery rate correction. Kyoto encyclopedia of genes and genomes functional enrichment analysis showed that the differential proteins were mainly involved in mitogen-activated protein kinase signaling pathways. Our research indicates that neural cell adhesion molecule L1, integrin alpha-M, alpha-actinin-1, filamin-A and profilin-1 which are associated with cytoskeleton, synapse and immunity were preliminarily screened as candidate protein markers for schizophrenia. Moreover, mitogen-activated protein kinase signaling pathway may be related to the pathology of schizophrenia, and PI3K-Akt signaling pathway may be related to the efficacy and side effects of antipsychotic drugs.