Schizophrenia and cell senescence candidate genes screening, machine learning, diagnostic models, and drug prediction.

ABSTRACT:

Background

Schizophrenia (SC) is one of the most common psychiatric diseases. Its potential pathogenic genes and effective treatment methods are still unclear. Cell senescence has been confirmed in mental diseases. A link exists between cellular senescence and immunity, and immune-related problems affect suicide rates in individuals suffering from schizophrenia. Therefore, the aims of this study were to identify candidate genes based on cell senescence that can affect the diagnosis and treatment of schizophrenia.

Methods

Two data sets of schizophrenia were provided by the Gene Expression Omnibus (GEO) database, one was taken as training and the other as a validation group. The genes related to cell senescence were obtained from the CellAge database. DEGs were identified usin

SUBMITTER: Feng Y 

PROVIDER: S-EPMC10126505 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature