MicroRNAs as Biomarkers in First Episode Schizophrenia

Overview

This study investigates whether tiny molecules called microRNAs (miRNAs), found in special brain-derived "packages" (neural-derived extracellular vesicles, or NDEs) that travel from the brain into the blood, can serve as helpful indicators (biomarkers) for schizophrenia. Currently, doctors diagnose schizophrenia and monitor treatment primarily through clinical interviews, which can be slow and imprecise. This study will work with 80 individuals recently diagnosed with first-episode schizophrenia who are beginning treatment with either aripiprazole or risperidone, along with 80 healthy volunteers. Blood samples will be collected from all participants. For individuals with schizophrenia, blood will be drawn at the beginning of treatment and again after 12 weeks. By comparing patterns of brain-derived miRNAs in the blood of patients versus healthy volunteers, and by observing changes in these miRNAs during treatment, the researchers hope to discover whether these molecules can help diagnose schizophrenia more quickly and predict how well a treatment will work. If successful, this study will provide initial evidence that these miRNAs could become valuable new tools leading to earlier, more accurate diagnoses and more personalized treatment selection.

Schizophrenia is a significant psychiatric illness characterized by psychosis, social withdrawal, and cognitive difficulties leading to impaired daily functioning. Diagnosis and treatment assessment remain heavily reliant on clinical interviews, which are subjective and lack objective biological indicators. Previous research has established evidence of miRNA dysregulation in schizophrenia through genome-wide association studies, post-mortem brain tissue analysis, and biological fluid studies. A more recent and promising approach involves measuring miRNAs specifically contained within neural-derived extracellular vesicles (NDEs) isolated from plasma. These NDEs carry brain-specific miRNA cargo and can be identified in peripheral blood, offering a less invasive approach compared to cerebrospinal fluid or brain tissue. This study addresses the identified knowledge gap by investigating plasma NDE miRNAs as novel diagnostic and treatment response biomarkers specifically in first-episode schizophrenia (FES). The focus on FES participants minimizes confounding effects associated with long-term medication use and extended illness duration. The study employs a 12-week mechanistic clinical trial design with clinical assessments, neurocognitive testing (MATRICS), and blood collection for NDE miRNA sequencing at baseline and 12 weeks. MiRNA sequencing will be performed using Illumina NovaSeq6000 following NDE isolation via L1/NCAM antibody immunoprecipitation. Statistical analysis includes differential expression analysis using DESeq, Binary Elastic Net Regression for feature selection, and machine learning models (random forests, gradient boosting, SVM) for predictive performance assessment.