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Combined microRNA and mRNA expression analysis in pediatric multiple sclerosis: an integrated approach to uncover novel pathogenic mechanisms of the disease.
Hum Mol Genet. 2018 01 01; 27(1):66-79.HM

Abstract

Multiple sclerosis (MS) is a complex disease of the CNS that usually affects young adults, although 3-5% of cases are diagnosed in childhood and adolescence (hence called pediatric MS, PedMS). Genetic predisposition, among other factors, seems to contribute to the risk of the onset, in pediatric as in adult ages, but few studies have investigated the genetic 'environmentally naïve' load of PedMS. The main goal of this study was to identify circulating markers (miRNAs), target genes (mRNAs) and functional pathways associated with PedMS; we also verified the impact of miRNAs on clinical features, i.e. disability and cognitive performances. The investigation was performed in 19 PedMS and 20 pediatric controls (PCs) using a High-Throughput Next-generation Sequencing (HT-NGS) approach followed by an integrated bioinformatics/biostatistics analysis. Twelve miRNAs were significantly upregulated (let-7a-5p, let-7b-5p, miR-25-3p, miR-125a-5p, miR-942-5p, miR-221-3p, miR-652-3p, miR-182-5p, miR-185-5p, miR-181a-5p, miR-320a, miR-99b-5p) and 1 miRNA was downregulated (miR-148b-3p) in PedMS compared with PCs. The interactions between the significant miRNAs and their targets uncovered predicted genes (i.e. TNFSF13B, TLR2, BACH2, KLF4) related to immunological functions, as well as genes involved in autophagy-related processes (i.e. ATG16L1, SORT1, LAMP2) and ATPase activity (i.e. ABCA1, GPX3). No significant molecular profiles were associated with any PedMS demographic/clinical features. Both miRNAs and mRNA expressions predicted the phenotypes (PedMS-PC) with an accuracy of 92% and 91%, respectively. In our view, this original strategy of contemporary miRNA/mRNA analysis may help to shed light in the genetic background of the disease, suggesting further molecular investigations in novel pathogenic mechanisms.

Authors+Show Affiliations

National Research Council of Italy, Department of Biomedicine, Institute of Biomedical Technologies, Bari Section, 70125 Bari, Italy.National Research Council of Italy, Department of Biomedicine, Institute of Biomedical Technologies, Bari Section, 70125 Bari, Italy. Department of Basic Sciences, Neurosciences and Sense Organs, University of Bari, 70125 Bari, Italy.National Research Council of Italy, Department of Biomedicine, Institute of Biomedical Technologies, Bari Section, 70125 Bari, Italy.National Research Council of Italy, Department of Biomedicine, Institute of Biomedical Technologies, Bari Section, 70125 Bari, Italy.Department of Basic Sciences, Neurosciences and Sense Organs, University of Bari, 70125 Bari, Italy.Department of Basic Sciences, Neurosciences and Sense Organs, University of Bari, 70125 Bari, Italy.National Research Council of Italy, Department of Engineering, ICT and Technology for Energy and Transportation, Institute of Intelligent Systems for Automation, 70125 Bari, Italy.National Research Council of Italy, Department of Engineering, ICT and Technology for Energy and Transportation, Institute of Intelligent Systems for Automation, 70125 Bari, Italy.Department of Basic Sciences, Neurosciences and Sense Organs, University of Bari, 70125 Bari, Italy. Department of Neurosciences, San Camillo Forlanini Hospital, 00185 Rome, Italy.Department of Basic Sciences, Neurosciences and Sense Organs, University of Bari, 70125 Bari, Italy.National Research Council of Italy, Department of Biomedicine, Institute of Biomedical Technologies, Bari Section, 70125 Bari, Italy.General Paediatric Unit "B. Trambusti", Azienda Policlinico-Giovanni XXIII and University of Bari, 70125 Bari, Italy.National Research Council of Italy, Department of Biomedicine, Institute of Biomedical Technologies, Bari Section, 70125 Bari, Italy.Department of Basic Sciences, Neurosciences and Sense Organs, University of Bari, 70125 Bari, Italy.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

29087462

Citation

Liguori, Maria, et al. "Combined microRNA and mRNA Expression Analysis in Pediatric Multiple Sclerosis: an Integrated Approach to Uncover Novel Pathogenic Mechanisms of the Disease." Human Molecular Genetics, vol. 27, no. 1, 2018, pp. 66-79.
Liguori M, Nuzziello N, Licciulli F, et al. Combined microRNA and mRNA expression analysis in pediatric multiple sclerosis: an integrated approach to uncover novel pathogenic mechanisms of the disease. Hum Mol Genet. 2018;27(1):66-79.
Liguori, M., Nuzziello, N., Licciulli, F., Consiglio, A., Simone, M., Viterbo, R. G., Creanza, T. M., Ancona, N., Tortorella, C., Margari, L., Grillo, G., Giordano, P., Liuni, S., & Trojano, M. (2018). Combined microRNA and mRNA expression analysis in pediatric multiple sclerosis: an integrated approach to uncover novel pathogenic mechanisms of the disease. Human Molecular Genetics, 27(1), 66-79. https://doi.org/10.1093/hmg/ddx385
Liguori M, et al. Combined microRNA and mRNA Expression Analysis in Pediatric Multiple Sclerosis: an Integrated Approach to Uncover Novel Pathogenic Mechanisms of the Disease. Hum Mol Genet. 2018 01 1;27(1):66-79. PubMed PMID: 29087462.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Combined microRNA and mRNA expression analysis in pediatric multiple sclerosis: an integrated approach to uncover novel pathogenic mechanisms of the disease. AU - Liguori,Maria, AU - Nuzziello,Nicoletta, AU - Licciulli,Flavio, AU - Consiglio,Arianna, AU - Simone,Marta, AU - Viterbo,Rosa Gemma, AU - Creanza,Teresa Maria, AU - Ancona,Nicola, AU - Tortorella,Carla, AU - Margari,Lucia, AU - Grillo,Giorgio, AU - Giordano,Paola, AU - Liuni,Sabino, AU - Trojano,Maria, PY - 2017/09/04/received PY - 2017/10/23/accepted PY - 2017/11/1/pubmed PY - 2019/1/3/medline PY - 2017/11/1/entrez SP - 66 EP - 79 JF - Human molecular genetics JO - Hum Mol Genet VL - 27 IS - 1 N2 - Multiple sclerosis (MS) is a complex disease of the CNS that usually affects young adults, although 3-5% of cases are diagnosed in childhood and adolescence (hence called pediatric MS, PedMS). Genetic predisposition, among other factors, seems to contribute to the risk of the onset, in pediatric as in adult ages, but few studies have investigated the genetic 'environmentally naïve' load of PedMS. The main goal of this study was to identify circulating markers (miRNAs), target genes (mRNAs) and functional pathways associated with PedMS; we also verified the impact of miRNAs on clinical features, i.e. disability and cognitive performances. The investigation was performed in 19 PedMS and 20 pediatric controls (PCs) using a High-Throughput Next-generation Sequencing (HT-NGS) approach followed by an integrated bioinformatics/biostatistics analysis. Twelve miRNAs were significantly upregulated (let-7a-5p, let-7b-5p, miR-25-3p, miR-125a-5p, miR-942-5p, miR-221-3p, miR-652-3p, miR-182-5p, miR-185-5p, miR-181a-5p, miR-320a, miR-99b-5p) and 1 miRNA was downregulated (miR-148b-3p) in PedMS compared with PCs. The interactions between the significant miRNAs and their targets uncovered predicted genes (i.e. TNFSF13B, TLR2, BACH2, KLF4) related to immunological functions, as well as genes involved in autophagy-related processes (i.e. ATG16L1, SORT1, LAMP2) and ATPase activity (i.e. ABCA1, GPX3). No significant molecular profiles were associated with any PedMS demographic/clinical features. Both miRNAs and mRNA expressions predicted the phenotypes (PedMS-PC) with an accuracy of 92% and 91%, respectively. In our view, this original strategy of contemporary miRNA/mRNA analysis may help to shed light in the genetic background of the disease, suggesting further molecular investigations in novel pathogenic mechanisms. SN - 1460-2083 UR - https://www.unboundmedicine.com/medline/citation/29087462/Combined_microRNA_and_mRNA_expression_analysis_in_pediatric_multiple_sclerosis:_an_integrated_approach_to_uncover_novel_pathogenic_mechanisms_of_the_disease_ DB - PRIME DP - Unbound Medicine ER -