Explore autophagy-related lncRNA-miRNA-mRNA ceRNA networks for diagnosis of early-onset schizophrenia through transcriptome analysis

• DOI: 10.3389/fpsyt.2025.1567148
• Publication Date: 2025-02-26T07:20:25Z
• Authors: Wei Hu; Xinzhe Du; Xinxia Wang; Kexin Zhang; Junxia Li; Yao Gao; Ting An; Hong Zhang; Yu Zhang; Zhiyong Ren; Yong Xu; Sha Liu
• Keywords: Competing Endogenous RNA

The severe functional impairment and poor prognosis of early-onset schizophrenia (EOS) create a great need to identify effective biomarkers for early diagnosis in young psychiatric patients. Current research indicates potential link between loss autophagy function emotional behavioral abnormalities individuals with disorders. This study aimed explore diagnostic autophagy-related endogenous competitive RNA (ceRNA) networks EOS messenger RNAs (mRNAs) long non-coding (lncRNAs) expression profiles were obtained from peripheral blood mononuclear cells 18 patients 12 healthy controls (HC). A co-expression analysis was performed 365 core lncRNAs 55 differentially expressed genes (ARGs) lncRNAs. Subsequently, five identified as candidate construct ceRNA regulatory network using least absolute shrinkage selection operator (LASSO) Cox regression, receiver operating characteristic (ROC) curve evaluate their predictive accuracy. Then, putative interactions among lncRNA-microRNAs (miRNAs)-mRNA determined based on the lncRNASNP2 TarBase databases. Three lncRNAs, twenty miRNAs, ten mRNAs selected an autophagy-associated associated occurrence. Through protein-protein interaction analysis, hub identified, which exhibited good ability distinguishing individuals. ROC demonstrated that integrating three (RP1-135L22.1, RP5-884C9.2, RP11-390F4.3) along (EIF4G1, AKT1, BAX, WIPI2, MAPT) appeared yield better accuracy compared either or alone. Furthermore, all positively correlated at two types immune infiltration. transcriptome we searched networks, provided valuable candidates EOS.