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Whole Genome Expression Analyses of miRNAs and mRNAs Suggest the Involvement of miR-320a and miR-155-3p and their Targeted Genes in Lithium Response in Bipolar Disorder

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 modu...

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Autores principales: Pisanu, Claudia, Merkouri Papadima, Eleni, Melis, Carla, Congiu, Donatella, Loizedda, Annalisa, Orrù, Nicola, Calza, Stefano, Orrù, Sandro, Carcassi, Carlo, Severino, Giovanni, Ardau, Raffaella, Chillotti, Caterina, Del Zompo, Maria, Squassina, Alessio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928759/
https://www.ncbi.nlm.nih.gov/pubmed/31801218
http://dx.doi.org/10.3390/ijms20236040
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author Pisanu, Claudia
Merkouri Papadima, Eleni
Melis, Carla
Congiu, Donatella
Loizedda, Annalisa
Orrù, Nicola
Calza, Stefano
Orrù, Sandro
Carcassi, Carlo
Severino, Giovanni
Ardau, Raffaella
Chillotti, Caterina
Del Zompo, Maria
Squassina, Alessio
author_facet Pisanu, Claudia
Merkouri Papadima, Eleni
Melis, Carla
Congiu, Donatella
Loizedda, Annalisa
Orrù, Nicola
Calza, Stefano
Orrù, Sandro
Carcassi, Carlo
Severino, Giovanni
Ardau, Raffaella
Chillotti, Caterina
Del Zompo, Maria
Squassina, Alessio
author_sort Pisanu, Claudia
collection PubMed
description 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.
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spelling pubmed-69287592019-12-26 Whole Genome Expression Analyses of miRNAs and mRNAs Suggest the Involvement of miR-320a and miR-155-3p and their Targeted Genes in Lithium Response in Bipolar Disorder Pisanu, Claudia Merkouri Papadima, Eleni Melis, Carla Congiu, Donatella Loizedda, Annalisa Orrù, Nicola Calza, Stefano Orrù, Sandro Carcassi, Carlo Severino, Giovanni Ardau, Raffaella Chillotti, Caterina Del Zompo, Maria Squassina, Alessio Int J Mol Sci Article 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. MDPI 2019-11-30 /pmc/articles/PMC6928759/ /pubmed/31801218 http://dx.doi.org/10.3390/ijms20236040 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pisanu, Claudia
Merkouri Papadima, Eleni
Melis, Carla
Congiu, Donatella
Loizedda, Annalisa
Orrù, Nicola
Calza, Stefano
Orrù, Sandro
Carcassi, Carlo
Severino, Giovanni
Ardau, Raffaella
Chillotti, Caterina
Del Zompo, Maria
Squassina, Alessio
Whole Genome Expression Analyses of miRNAs and mRNAs Suggest the Involvement of miR-320a and miR-155-3p and their Targeted Genes in Lithium Response in Bipolar Disorder
title Whole Genome Expression Analyses of miRNAs and mRNAs Suggest the Involvement of miR-320a and miR-155-3p and their Targeted Genes in Lithium Response in Bipolar Disorder
title_full Whole Genome Expression Analyses of miRNAs and mRNAs Suggest the Involvement of miR-320a and miR-155-3p and their Targeted Genes in Lithium Response in Bipolar Disorder
title_fullStr Whole Genome Expression Analyses of miRNAs and mRNAs Suggest the Involvement of miR-320a and miR-155-3p and their Targeted Genes in Lithium Response in Bipolar Disorder
title_full_unstemmed Whole Genome Expression Analyses of miRNAs and mRNAs Suggest the Involvement of miR-320a and miR-155-3p and their Targeted Genes in Lithium Response in Bipolar Disorder
title_short Whole Genome Expression Analyses of miRNAs and mRNAs Suggest the Involvement of miR-320a and miR-155-3p and their Targeted Genes in Lithium Response in Bipolar Disorder
title_sort whole genome expression analyses of mirnas and mrnas suggest the involvement of mir-320a and mir-155-3p and their targeted genes in lithium response in bipolar disorder
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928759/
https://www.ncbi.nlm.nih.gov/pubmed/31801218
http://dx.doi.org/10.3390/ijms20236040
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