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Mood stabilizer-regulated miRNAs in neuropsychiatric and neurodegenerative diseases: identifying associations and functions.

ABSTRACT: Identifying mechanisms to enhance neuroprotection holds tremendous promise in developing new treatments for neuropsychiatric and neurodegenerative diseases. We sought to determine the potential role for microRNAs (miRNAs) in neuroprotection following neuronal death. A neuronal culture system of rat cerebellar granule cells was used to examine miRNA expression changes following glutamate-induced excitotoxicity and neuroprotective treatments. Combination treatment with the mood stabilizers lithium and valproic acid provided near-complete protection from glutamate excitotoxicity. Numerous miRNAs were detected by microarrays to be regulated by the combined lithium and valproic acid treatment, and the following candidates were confirmed using real-time PCR: miR-34a, miR-147b, miR-182, miR-222, miR-495, and miR-690. We then verified the apoptotic actions of miR-34a mimic in a human neuroblastoma cell line (SH-SY5Y) under basal conditions and following endoplasmic reticulum stress. To gain insight into the function of these mood stabilizer-regulated miRNAs, we performed two separate analyses: a candidate approach using Ingenuity Pathway Analysis that was restricted to only our PCR-verified miRNAs, and a global approach using DIANA-mirPath that included all significantly regulated miRNAs. It was observed that the pathways associated with mood stabilizer-regulated miRNAs in our study (global approach) are strongly associated with pathways implicated in neuropsychiatric diseases such as schizophrenia. We also observed an overlap in the mood stabilizer-regulated miRNAs identified from our study along with dysregulated miRNAs in both neuropsychiatric and neurodegenerative disorders. We anticipate that these associations and overlaps implicate critical pathways and miRNAs in disease mechanisms for novel therapeutic treatments that may hold potential for many neurological diseases.

SUBMITTER: Hunsberger JG

PROVIDER: S-EPMC3665918 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Loneliness and social isolation are detrimental to mental health and may lead to cognitive impairment and neurodegeneration. Although several molecular signatures of loneliness have been identified, the molecular mechanisms by which loneliness impacts the brain remain elusive. Here, we performed a bioinformatics approach to untangle the molecular underpinnings associated with loneliness. Co-expression network analysis identified molecular 'switches' responsible for dramatic transcriptional changes in the nucleus accumbens of individuals with known loneliness. Loneliness-related switch genes were enriched in cell cycle, cancer, TGF-β, FOXO, and PI3K-AKT signaling pathways. Analysis stratified by sex identified switch genes in males with chronic loneliness. Male-specific switch genes were enriched in infection, innate immunity, and cancer-related pathways. Correlation analysis revealed that loneliness-related switch genes significantly overlapped with 82% and 68% of human studies on Alzheimer's (AD) and Parkinson's diseases (PD), respectively, in gene expression databases. Loneliness-related switch genes, BCAM, NECTIN2, NPAS3, RBM38, PELI1, DPP10, and ASGR2, have been identified as genetic risk factors for AD. Likewise, switch genes HLA-DRB5, ALDOA, and GPNMB are known genetic loci in PD. Similarly, loneliness-related switch genes overlapped in 70% and 64% of human studies on major depressive disorder and schizophrenia, respectively. Nine switch genes, HLA-DRB5, ARHGAP15, COL4A1, RBM38, DMD, LGALS3BP, WSCD2, CYTH4, and CNTRL, overlapped with known genetic variants in depression. Seven switch genes, NPAS3, ARHGAP15, LGALS3BP, DPP10, SMYD3, CPXCR1, and HLA-DRB5 were associated with known risk factors for schizophrenia. Collectively, we identified molecular determinants of loneliness and dysregulated pathways in the brain of non-demented adults. The association of switch genes with known risk factors for neuropsychiatric and neurodegenerative diseases provides a molecular explanation for the observed prevalence of these diseases among lonely individuals.

Project description:BackgroundmicroRNAs (miRNAs) are essential to the regulation of gene expression in eukaryotes, and improper expression of miRNAs contributes to hundreds of diseases. Despite the essential functions of miRNAs, the evolutionary dynamics of how they are integrated into existing gene regulatory and functional networks is not well understood. Knowledge of the origin and evolutionary history a gene has proven informative about its functions and disease associations; we hypothesize that incorporating the evolutionary origins of miRNAs into analyses will help resolve differences in their functional dynamics and how they influence disease.ResultsWe computed the phylogenetic age of miRNAs across 146 species and quantified the relationship between human miRNA age and several functional attributes. Older miRNAs are significantly more likely to be associated with disease than younger miRNAs, and the number of associated diseases increases with age. As has been observed for genes, the miRNAs associated with different diseases have different age profiles. For example, human miRNAs implicated in cancer are enriched for origins near the dawn of animal multicellularity. Consistent with the increasing contribution of miRNAs to disease with age, older miRNAs target more genes than younger miRNAs, and older miRNAs are expressed in significantly more tissues. Furthermore, miRNAs of all ages exhibit a strong preference to target older genes; 93% of validated miRNA gene targets were in existence at the origin of the targeting miRNA. Finally, we find that human miRNAs in evolutionarily related families are more similar in their targets and expression profiles than unrelated miRNAs.ConclusionsConsidering the evolutionary origin and history of a miRNA provides useful context for the analysis of its function. Consistent with recent work in Drosophila, our results support a model in which miRNAs increase their expression and functional regulatory interactions over evolutionary time, and thus older miRNAs have increased potential to cause disease. We anticipate that these patterns hold across mammalian species; however, comprehensively evaluating them will require refining miRNA annotations across species and collecting functional data in non-human systems.

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Mood stabilizer-regulated miRNAs in neuropsychiatric and neurodegenerative diseases: identifying associations and functions.

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