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Molecular signature associated with cladribine treatment in patients with multiple sclerosis
INTRODUCTION: Little is known about the molecular profiling associated with the effect of cladribine in patients with multiple sclerosis (MS). Here, we aimed first to characterize the transcriptomic and proteomic profiles induced by cladribine in blood cells, and second to identify potential treatme...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408299/ https://www.ncbi.nlm.nih.gov/pubmed/37559720 http://dx.doi.org/10.3389/fimmu.2023.1233546 |
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author | Fissolo, Nicolas Calvo-Barreiro, Laura Eixarch, Herena Boschert, Ursula Villar, Luisa M. Costa-Frossard, Lucienne Ferrer, Mireia Sanchez, Alex Borràs, Eva Sabidó, Eduard Espejo, Carmen Montalban, Xavier Comabella, Manuel |
author_facet | Fissolo, Nicolas Calvo-Barreiro, Laura Eixarch, Herena Boschert, Ursula Villar, Luisa M. Costa-Frossard, Lucienne Ferrer, Mireia Sanchez, Alex Borràs, Eva Sabidó, Eduard Espejo, Carmen Montalban, Xavier Comabella, Manuel |
author_sort | Fissolo, Nicolas |
collection | PubMed |
description | INTRODUCTION: Little is known about the molecular profiling associated with the effect of cladribine in patients with multiple sclerosis (MS). Here, we aimed first to characterize the transcriptomic and proteomic profiles induced by cladribine in blood cells, and second to identify potential treatment response biomarkers to cladribine in patients with MS. METHODS: Gene, protein and microRNA (miRNA) expression profiles were determined by microarrays (genes, miRNAs) and mass spectrometry (proteins) in peripheral blood mononuclear cells (PBMCs) from MS patients after in vitro treatment with cladribine in its active and inactive forms. Two bioinformatics approaches to integrate the three obtained datasets were applied: (i) a multiomics discriminant analysis (DIABLO - Data Integration Analysis for Biomarker discovery using Latent variable approaches for Omics studies); and (ii) a multi-stage integration of features selected in differential expression analysis on each dataset and then merged. Selected molecules from the in vitro study were quantified by qPCR ex vivo in PBMCs from MS patients receiving cladribine. RESULTS: PBMCs treated in vitro with cladribine were characterized by a major downregulation of gene, protein, and miRNA expression compared with the untreated cells. An intermediate pattern between the cladribine-treated and untreated conditions was observed in PBMCs treated with cladribine in its inactive form. The differential expression analysis of each dataset led to the identification of four genes and their encoded proteins, and twenty-two miRNAs regulating their expression, that were associated with cladribine treatment. Two of these genes (PPIF and NHLRC2), and three miRNAs (miR-21-5p, miR-30b-5p, and miR-30e-5p) were validated ex vivo in MS patients treated with cladribine. DISCUSSION: By using a combination of omics data and bioinformatics approaches we were able to identify a multiomics molecular profile induced by cladribine in vitro in PBMCs. We also identified a number of biomarkers that were validated ex vivo in PBMCs from patients with MS treated with cladribine that have the potential to become treatment response biomarkers to this drug. |
format | Online Article Text |
id | pubmed-10408299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104082992023-08-09 Molecular signature associated with cladribine treatment in patients with multiple sclerosis Fissolo, Nicolas Calvo-Barreiro, Laura Eixarch, Herena Boschert, Ursula Villar, Luisa M. Costa-Frossard, Lucienne Ferrer, Mireia Sanchez, Alex Borràs, Eva Sabidó, Eduard Espejo, Carmen Montalban, Xavier Comabella, Manuel Front Immunol Immunology INTRODUCTION: Little is known about the molecular profiling associated with the effect of cladribine in patients with multiple sclerosis (MS). Here, we aimed first to characterize the transcriptomic and proteomic profiles induced by cladribine in blood cells, and second to identify potential treatment response biomarkers to cladribine in patients with MS. METHODS: Gene, protein and microRNA (miRNA) expression profiles were determined by microarrays (genes, miRNAs) and mass spectrometry (proteins) in peripheral blood mononuclear cells (PBMCs) from MS patients after in vitro treatment with cladribine in its active and inactive forms. Two bioinformatics approaches to integrate the three obtained datasets were applied: (i) a multiomics discriminant analysis (DIABLO - Data Integration Analysis for Biomarker discovery using Latent variable approaches for Omics studies); and (ii) a multi-stage integration of features selected in differential expression analysis on each dataset and then merged. Selected molecules from the in vitro study were quantified by qPCR ex vivo in PBMCs from MS patients receiving cladribine. RESULTS: PBMCs treated in vitro with cladribine were characterized by a major downregulation of gene, protein, and miRNA expression compared with the untreated cells. An intermediate pattern between the cladribine-treated and untreated conditions was observed in PBMCs treated with cladribine in its inactive form. The differential expression analysis of each dataset led to the identification of four genes and their encoded proteins, and twenty-two miRNAs regulating their expression, that were associated with cladribine treatment. Two of these genes (PPIF and NHLRC2), and three miRNAs (miR-21-5p, miR-30b-5p, and miR-30e-5p) were validated ex vivo in MS patients treated with cladribine. DISCUSSION: By using a combination of omics data and bioinformatics approaches we were able to identify a multiomics molecular profile induced by cladribine in vitro in PBMCs. We also identified a number of biomarkers that were validated ex vivo in PBMCs from patients with MS treated with cladribine that have the potential to become treatment response biomarkers to this drug. Frontiers Media S.A. 2023-07-25 /pmc/articles/PMC10408299/ /pubmed/37559720 http://dx.doi.org/10.3389/fimmu.2023.1233546 Text en Copyright © 2023 Fissolo, Calvo-Barreiro, Eixarch, Boschert, Villar, Costa-Frossard, Ferrer, Sanchez, Borràs, Sabidó, Espejo, Montalban and Comabella https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Fissolo, Nicolas Calvo-Barreiro, Laura Eixarch, Herena Boschert, Ursula Villar, Luisa M. Costa-Frossard, Lucienne Ferrer, Mireia Sanchez, Alex Borràs, Eva Sabidó, Eduard Espejo, Carmen Montalban, Xavier Comabella, Manuel Molecular signature associated with cladribine treatment in patients with multiple sclerosis |
title | Molecular signature associated with cladribine treatment in patients with multiple sclerosis |
title_full | Molecular signature associated with cladribine treatment in patients with multiple sclerosis |
title_fullStr | Molecular signature associated with cladribine treatment in patients with multiple sclerosis |
title_full_unstemmed | Molecular signature associated with cladribine treatment in patients with multiple sclerosis |
title_short | Molecular signature associated with cladribine treatment in patients with multiple sclerosis |
title_sort | molecular signature associated with cladribine treatment in patients with multiple sclerosis |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408299/ https://www.ncbi.nlm.nih.gov/pubmed/37559720 http://dx.doi.org/10.3389/fimmu.2023.1233546 |
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