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Transcriptomics and miRNomics data integration in lymphoblastoid cells highlights the key role of immune-related functions in lithium treatment response in Bipolar disorder

BACKGROUND: Bipolar Disorder (BD) is a complex mental disease characterized by recurrent episodes of mania and depression. Lithium (Li) represents the mainstay of BD pharmacotherapy, despite the narrow therapeutic index and the high variability in treatment response. However, although several studie...

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Autores principales: Cattane, Nadia, Courtin, Cindie, Mombelli, Elisa, Maj, Carlo, Mora, Cristina, Etain, Bruno, Bellivier, Frank, Marie-Claire, Cynthia, Cattaneo, Annamaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615157/
https://www.ncbi.nlm.nih.gov/pubmed/36303132
http://dx.doi.org/10.1186/s12888-022-04286-3
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author Cattane, Nadia
Courtin, Cindie
Mombelli, Elisa
Maj, Carlo
Mora, Cristina
Etain, Bruno
Bellivier, Frank
Marie-Claire, Cynthia
Cattaneo, Annamaria
author_facet Cattane, Nadia
Courtin, Cindie
Mombelli, Elisa
Maj, Carlo
Mora, Cristina
Etain, Bruno
Bellivier, Frank
Marie-Claire, Cynthia
Cattaneo, Annamaria
author_sort Cattane, Nadia
collection PubMed
description BACKGROUND: Bipolar Disorder (BD) is a complex mental disease characterized by recurrent episodes of mania and depression. Lithium (Li) represents the mainstay of BD pharmacotherapy, despite the narrow therapeutic index and the high variability in treatment response. However, although several studies have been conducted, the molecular mechanisms underlying Li therapeutic effects remain unclear. METHODS: In order to identify molecular signatures and biological pathways associated with Li treatment response, we conducted transcriptome and miRNome microarray analyses on lymphoblastoid cell lines (LCLs) from 20 patients diagnosed with BD classified as Li responders (n = 11) or non-responders (n = 9). RESULTS: We found 335 mRNAs and 77 microRNAs (miRNAs) significantly modulated in BD responders versus non-responders. Interestingly, pathway and network analyses on these differentially expressed molecules suggested a modulatory effect of Li on several immune-related functions. Indeed, among the functional molecular nodes, we found NF-κB and TNF. Moreover, networks related to these molecules resulted overall inhibited in BD responder patients, suggesting anti-inflammatory properties of Li. From the integrative analysis between transcriptomics and miRNomics data carried out using miRComb R package on the same samples from patients diagnosed with BD, we found 97 significantly and negatively correlated mRNA-miRNA pairs, mainly involved in inflammatory/immune response. CONCLUSIONS: Our results highlight that Li exerts modulatory effects on immune-related functions and that epigenetic mechanisms, especially miRNAs, can influence the modulation of different genes and pathways involved in Li response. Moreover, our data suggest the potentiality to integrate data coming from different high-throughput approaches as a tool to prioritize genes and pathways. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-04286-3.
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spelling pubmed-96151572022-10-29 Transcriptomics and miRNomics data integration in lymphoblastoid cells highlights the key role of immune-related functions in lithium treatment response in Bipolar disorder Cattane, Nadia Courtin, Cindie Mombelli, Elisa Maj, Carlo Mora, Cristina Etain, Bruno Bellivier, Frank Marie-Claire, Cynthia Cattaneo, Annamaria BMC Psychiatry Research BACKGROUND: Bipolar Disorder (BD) is a complex mental disease characterized by recurrent episodes of mania and depression. Lithium (Li) represents the mainstay of BD pharmacotherapy, despite the narrow therapeutic index and the high variability in treatment response. However, although several studies have been conducted, the molecular mechanisms underlying Li therapeutic effects remain unclear. METHODS: In order to identify molecular signatures and biological pathways associated with Li treatment response, we conducted transcriptome and miRNome microarray analyses on lymphoblastoid cell lines (LCLs) from 20 patients diagnosed with BD classified as Li responders (n = 11) or non-responders (n = 9). RESULTS: We found 335 mRNAs and 77 microRNAs (miRNAs) significantly modulated in BD responders versus non-responders. Interestingly, pathway and network analyses on these differentially expressed molecules suggested a modulatory effect of Li on several immune-related functions. Indeed, among the functional molecular nodes, we found NF-κB and TNF. Moreover, networks related to these molecules resulted overall inhibited in BD responder patients, suggesting anti-inflammatory properties of Li. From the integrative analysis between transcriptomics and miRNomics data carried out using miRComb R package on the same samples from patients diagnosed with BD, we found 97 significantly and negatively correlated mRNA-miRNA pairs, mainly involved in inflammatory/immune response. CONCLUSIONS: Our results highlight that Li exerts modulatory effects on immune-related functions and that epigenetic mechanisms, especially miRNAs, can influence the modulation of different genes and pathways involved in Li response. Moreover, our data suggest the potentiality to integrate data coming from different high-throughput approaches as a tool to prioritize genes and pathways. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-04286-3. BioMed Central 2022-10-27 /pmc/articles/PMC9615157/ /pubmed/36303132 http://dx.doi.org/10.1186/s12888-022-04286-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cattane, Nadia
Courtin, Cindie
Mombelli, Elisa
Maj, Carlo
Mora, Cristina
Etain, Bruno
Bellivier, Frank
Marie-Claire, Cynthia
Cattaneo, Annamaria
Transcriptomics and miRNomics data integration in lymphoblastoid cells highlights the key role of immune-related functions in lithium treatment response in Bipolar disorder
title Transcriptomics and miRNomics data integration in lymphoblastoid cells highlights the key role of immune-related functions in lithium treatment response in Bipolar disorder
title_full Transcriptomics and miRNomics data integration in lymphoblastoid cells highlights the key role of immune-related functions in lithium treatment response in Bipolar disorder
title_fullStr Transcriptomics and miRNomics data integration in lymphoblastoid cells highlights the key role of immune-related functions in lithium treatment response in Bipolar disorder
title_full_unstemmed Transcriptomics and miRNomics data integration in lymphoblastoid cells highlights the key role of immune-related functions in lithium treatment response in Bipolar disorder
title_short Transcriptomics and miRNomics data integration in lymphoblastoid cells highlights the key role of immune-related functions in lithium treatment response in Bipolar disorder
title_sort transcriptomics and mirnomics data integration in lymphoblastoid cells highlights the key role of immune-related functions in lithium treatment response in bipolar disorder
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615157/
https://www.ncbi.nlm.nih.gov/pubmed/36303132
http://dx.doi.org/10.1186/s12888-022-04286-3
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