Psychiatric syndromes, including schizophrenia, mood disorders, and autism spectrum disorders, are characterized by a complex range of symptoms, including psychosis, depression, mania, and cognitive deficits. Although the mechanisms driving pathophysiology are complex and remain largely unknown, advances in the understanding of gene association and gene networks are providing significant clues to their etiology. In recent years, small noncoding RNA molecules known as microRNA (miRNA) have emerged as potential players in the pathophysiology of mental illness. These small RNAs regulate hundreds of target transcripts by modifying their stability and translation on a broad scale, influencing entire gene networks in the process. There is evidence to suggest that numerous miRNAs are dysregulated in postmortem neuropathology of neuropsychiatric disorders, and there is strong genetic support for association of miRNA genes and their targets with these conditions. This review presents the accumulated evidence linking miRNA dysregulation and dysfunction with schizophrenia, bipolar disorder, major depressive disorder, and autism spectrum disorders and the potential of miRNAs as biomarkers or therapeutics for these disorders. We further assess the functional roles of some outstanding miRNAs associated with these conditions and how they may be influencing the development of psychiatric symptoms.

Circular RNAs (circRNAs) are a covalently closed subclass of non-coding RNA molecules formed by back splicing of linear precursor RNA. These molecules are relatively stable and particularly abundant in the mammalian brain and therefore may participate in neural development and function. With the emergence of circRNAs activity in gene regulation, these molecules have been implicated in several biological processes, including synaptic plasticity, and we therefore suspect they may have a role in neurobehavioral disorders. Here, we profile cortical circRNAs expression in 35 postmortem cortical gray matter (BA46) schizophrenia and a non-psychiatric comparison group, using circRNA enrichment sequencing. While more than 90,000 circRNAs species were identified in the dorsolateral prefrontal cortex (DLPFC), we observed lower complexity and substantial depletion in subjects with the disorder. Although circRNAs expression was independent of their host gene transcription, alternative splicing rates were lower in samples from cases compared to controls. Gene set analysis of differentially expressed circRNAs host genes revealed significant enrichment of neural functions and neurological disorders. Many of these depleted circRNAs are also predicted to sequester miRNAs that were shown previously to be increased in the disorder, potentially exacerbating the functional impact of their dysregulation through posttranscriptional gene silencing. While this is the first reported exploration of circRNAs in schizophrenia, there is significant potential for dysregulation more broadly in other major mental illnesses and behavioral disorders. Given their capacity for modulating miRNA function, circRNA may play a significant role in the pathophysiology of disease and even be targeted for therapeutic manipulation.

There is a long-standing interest in exploring the relationship between blood-based biomarkers and psychiatric disorders, despite their causal role being difficult to resolve in observational studies. In this study, we leverage genome-wide association study data for a large panel of heritable serum biochemical traits to refine our understanding of causal effect in biochemical-psychiatric trait pairings. We observed widespread positive and negative genetic correlation between psychiatric disorders and biochemical traits. Causal inference was then implemented to distinguish causation from correlation, with strong evidence that C-reactive protein (CRP) exerts a causal effect on psychiatric disorders. Notably, CRP demonstrated both protective and risk-increasing effects on different disorders. Multivariable models that conditioned CRP effects on interleukin-6 signaling and body mass index supported that the CRP-schizophrenia relationship was not driven by these factors. Collectively, these data suggest that there are shared pathways that influence both biochemical traits and psychiatric illness.