title: A new bioinformatic insight into the associated proteins in psychiatric disorders.
abstract: BACKGROUND
  Psychiatric diseases severely affect the quality of patients' lives and bring huge economic pressure to their families. Also, the great phenotypic variability among these patients makes it difficult to investigate the pathogenesis. Nowadays, bioinformatics is hopeful to be used as an effective tool for the diagnosis of psychiatric disorders, which can identify sensitive biomarkers and explore associated signaling pathways.
  
  
  METHODS
  In this study, we performed an integrated bioinformatic analysis on 1945 mental-associated proteins including 91 secreted proteins and 593 membrane proteins, which were screened from the Universal Protein Resource (Uniport) database. Then the function and pathway enrichment analyses, ontological classification, and constructed PPI network were executed.
  
  
  RESULTS
  Our present study revealed that the majority of mental proteins were closely related to metabolic processes and cellular processes. We also identified some significant molecular biomarkers in the progression of mental disorders, such as HRAS, ALS2, SLC6A1, SLC39A12, SIL1, IDUA, NEPH2 and XPO1. Furthermore, it was found that hub proteins, such as COMT, POMC, NPS and BDNF, might be the potential targets for mental disorders therapy. Finally, we demonstrated that psychiatric disorders may share the same signaling pathways with cancers, involving ESR1, BCL2 and MAPK3.
  
  
  CONCLUSIONS
  Our data are expected to contribute to explaining the possible mechanisms of psychiatric diseases and providing a useful reference for the diagnosis and therapy of them.
authors.affiliation: Department of Neurology, Affiliated Dongfang Hospital of Xiamen University (Fuzhou General Hospital), Fuzhou, Fujian People's Republic of China.
authors.forename: Wenlong
authors.initials: W
authors.lastname: Zhao
authors.affiliation: Department of Neurology, Affiliated Dongfang Hospital of Xiamen University (Fuzhou General Hospital), Fuzhou, Fujian People's Republic of China.
authors.forename: Wenjing
authors.initials: W
authors.lastname: Yang
authors.affiliation: Department of Neurology, Affiliated Dongfang Hospital of Xiamen University (Fuzhou General Hospital), Fuzhou, Fujian People's Republic of China.
authors.forename: Shuanglin
authors.initials: S
authors.lastname: Zheng
authors.affiliation: Department of Neurology, Affiliated Dongfang Hospital of Xiamen University (Fuzhou General Hospital), Fuzhou, Fujian People's Republic of China.
authors.forename: Qiong
authors.initials: Q
authors.lastname: Hu
authors.affiliation: Department of Neurology, Affiliated Dongfang Hospital of Xiamen University (Fuzhou General Hospital), Fuzhou, Fujian People's Republic of China.
authors.forename: Ping
authors.initials: P
authors.lastname: Qiu
authors.affiliation: Department of Clinical Genetics and Experimental Medicine, Fuzhou General Hospital, No. 156, Xier Huan Road, Gulou District, Fuzhou, 350025 Fujian People's Republic of China.
authors.forename: Xinghua
authors.initials: X
authors.lastname: Huang
authors.affiliation: Department of Neurology, Affiliated Dongfang Hospital of Xiamen University (Fuzhou General Hospital), Fuzhou, Fujian People's Republic of China.
authors.forename: Xiaoqian
authors.initials: X
authors.lastname: Hong
authors.affiliation: Department of Clinical Genetics and Experimental Medicine, Fuzhou General Hospital, No. 156, Xier Huan Road, Gulou District, Fuzhou, 350025 Fujian People's Republic of China.
authors.forename: Fenghua
authors.initials: F
authors.lastname: Lan
keywords: Bioinformatics; Molecular biomarkers; Psychiatric diseases; Signaling pathways; Therapy