作者: Pisanu , Merkouri Papadima , Melis , Congiu , Loizedda
DOI: 10.3390/IJMS20236040
关键词:
摘要: Lithium is the mainstay in maintenance of bipolar disorder (BD) and most efficacious pharmacological treatment suicide prevention. Nevertheless, its use hampered by a high interindividual variability important side effects. Genetic epigenetic factors have been suggested to modulate lithium response, but findings so far not allowed identifying molecular targets with predictive value. In this study we used next generation sequencing measure genome-wide miRNA expression lymphoblastoid cell lines from BD patients excellent responders (ER, n = 12) non-responders (NR, lithium. These data were integrated microarray identify pairs miRNA/mRNA inversely significantly correlated. Significant prioritized based on strength association in-silico target prediction analyses select candidates for validation qRT-PCR. Thirty-one miRNAs differentially expressed ER vs. NR correlated 418 genes between two groups. A total 331 these correlations also predicted algorithms. miR-320a miR-155-3p, as well three their targeted (CAPNS1 (Calpain Small Subunit 1) RGS16 (Regulator G Protein Signaling 16) miR-320, SP4 (Sp4 Transcription Factor) miR-155-3p) validated. mRNAs previously implicated psychiatric disorders (miR-320a SP4), key processes central nervous system (CAPNS1, RGS16, SP4) or pathways involved mental illnesses (miR-155-3p). Using an approach, identified potentially response BD.