Translational potential of RNA biomarkers in mental health: A narrative review
Year: 2025
Type: review
Abstract: Schizophrenia, major depressive disorder, and bipolar disorder lack established objective diagnostic methods. Non-coding RNAs, particularly microRNAs and long non-coding RNAs, are emerging as promising biomarkers due to their involvement in gene regulation and their detectability in bodily fluids. This narrative review summarizes the translational potential of RNA biomarkers in mental health by examining the expression patterns of selected microRNAs and long non-coding RNAs associated with schizophrenia, major depressive disorder, and bipolar disorder. Particular focus is given to frequently altered species such as miR-34a, miR-181b, nuclear paraspeckle assembly transcript 1, and myocardial infarction associated transcript. These non-coding RNAs influence critical neural processes including synaptic plasticity, neuroinflammation, and stress-response pathways—domains central to neuropsychiatric pathophysiology. Circulating RNA profiles demonstrate diagnostic potential; for example, miR-4743 is elevated in schizophrenia and reduced in major depressive disorder. Diagnostic panels containing sex-specific long non-coding RNA signatures have achieved accuracies exceeding 90 %, and some RNAs, such as miR-1202, have been linked to treatment response. Therefore, RNA biomarkers show promise for non-invasive assessment and monitoring of patients with mental disorders. While clinical implementation requires further validation and standardization, continued research—supported by artificial intelligence and machine learning—offers promising new directions for integrating RNA-based biomarkers into psychiatric neuroscience.
Source: NeuroMarkers.
Authors: Enoch Chi Ngai Lim, Chi Eung Danforn Lim
Institutions: University of Technology Sydney, Western Sydney University
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid:
OpenAlex ID: W4414516222