Abstract

Lithium is the mainstay in the maintenance of bipolar disorder (BD) and the most efficacious pharmacological treatment in suicide prevention. Nevertheless, its use is hampered by a high interindividual variability and important side effects. Genetic and epigenetic factors have been suggested to modulate lithium response, but findings so far have not allowed identifying molecular targets with predictive value. In this study we used next generation sequencing to measure genome-wide miRNA expression in lymphoblastoid cell lines from BD patients excellent responders (ER, n = 12) and non-responders (NR, n = 12) to lithium. These data were integrated with microarray genome-wide expression data to identify pairs of miRNA/mRNA inversely and significantly correlated. Significant pairs were prioritized based on strength of association and in-silico miRNA target prediction analyses to select candidates for validation with qRT-PCR. Thirty-one miRNAs were differentially expressed in ER vs. NR and inversely correlated with 418 genes differentially expressed between the two groups. A total of 331 of these correlations were also predicted by in-silico algorithms. miR-320a and miR-155-3p, as well as three of their targeted genes (CAPNS1 (Calpain Small Subunit 1) and RGS16 (Regulator of G Protein Signaling 16) for miR-320, SP4 (Sp4 Transcription Factor) for miR-155-3p) were validated. These miRNAs and mRNAs were previously implicated in psychiatric disorders (miR-320a and SP4), key processes of the central nervous system (CAPNS1, RGS16, SP4) or pathways involved in mental illnesses (miR-155-3p). Using an integrated approach, we identified miRNAs and their targeted genes potentially involved in lithium response in BD.

Highlights

  • Bipolar disorder (BD) is a disabling psychiatric disorder characterized by the recurrence of depressive and manic/hypomanic episodes [1]

  • We sequenced small non-coding RNAs with generation sequencing (NGS) in lymphoblastoid cell lines (LCLs) from BD patients characterized for lithium response, and integrated these data with genome-wide messenger RNA expression levels from the same subjects

  • Among the prioritized pairs of miRNA/messenger RNAs (mRNA) differentially expressed in ER compared to NR, we selected three miRNAs and seven mRNAs (Figures S2 and S3)

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Summary

Introduction

Bipolar disorder (BD) is a disabling psychiatric disorder characterized by the recurrence of depressive and manic/hypomanic episodes [1]. Clinical predictors have shown poor sensitivity and specificity in most of the studies, and reliable tools for a better management of lithium treatment, especially to predict response, are still missing. These features have stimulated intensive research to identify genetic and molecular predictors of response and disentangle its complex biological mechanisms [14,15]. We aimed at identifying pairs of miRNAs-mRNAs involved in lithium response To this purpose, we sequenced small non-coding RNAs with generation sequencing (NGS) in lymphoblastoid cell lines (LCLs) from BD patients characterized for lithium response, and integrated these data with genome-wide messenger RNA (mRNA) expression levels from the same subjects. The miRNA-mRNA pairs identified by our study could help shedding light on the complex genetic and epigenetic architecture of lithium response, leading to the identification of potential peripheral biomarkers and new drug targets

Correlation between miRNAs and mRNAs Expression Levels
Validation of Selected miRNAs-mRNAs Pairs with qRT-PCR
Discussion
Sample
LCLs and In Vitro Lithium Treatment
Genome-Wide NGS Analysis of miRNAs
Genome-Wide Microarray Analysis of mRNAs
Genome-Wide Analysis NGS of miRNAs
Genome-Wide Analysis of mRNAs
Correlation between miRNA and mRNA Expression Levels
Validation with qRT-PCR
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