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Open AccessArticle

Integrated Analysis of microRNA and mRNA Expression Profiles: An Attempt to Disentangle the Complex Interaction Network in Attention Deficit Hyperactivity Disorder

1
Institute of Biomedical Technologies, National Research Council, Bari Unit, 70126 Bari, Italy
2
Unit for Severe Disabilities in Developmental Age and Young Adults, Scientific Institute IRCCS E. Medea, 72100 Brindisi, Italy
3
Child Neuropsychiatric Unit, Department of Biomedical Sciences and Human Oncology, University “Aldo Moro” of Bari, 70124 Bari, Italy
4
Child Neuropsychiatric Unit, University “Aldo Moro” of Bari, 70124 Bari, Italy
*
Author to whom correspondence should be addressed.
Brain Sci. 2019, 9(10), 288; https://doi.org/10.3390/brainsci9100288
Received: 9 August 2019 / Revised: 16 October 2019 / Accepted: 20 October 2019 / Published: 22 October 2019
Attention Deficit Hyperactivity Disorder (ADHD) is a childhood-onset neurodevelopmental disorder, whose etiology and pathogenesis are still largely unknown. In order to uncover novel regulatory networks and molecular pathways possibly related to ADHD, we performed an integrated miRNA and mRNA expression profiling analysis in peripheral blood samples of children with ADHD and age-matched typically developing (TD) children. The expression levels of 13 miRNAs were evaluated with microfluidic qPCR, and differentially expressed (DE) mRNAs were detected on an Illumina HiSeq 2500 genome analyzer. The miRNA targetome was identified using an integrated approach of validated and predicted interaction data extracted from seven different bioinformatic tools. Gene Ontology (GO) and pathway enrichment analyses were carried out. Results showed that six miRNAs (miR-652-3p, miR-942-5p, let-7b-5p, miR-181a-5p, miR-320a, and miR-148b-3p) and 560 genes were significantly DE in children with ADHD compared to TD subjects. After correction for multiple testing, only three miRNAs (miR-652-3p, miR-148b-3p, and miR-942-5p) remained significant. Genes known to be associated with ADHD (e.g., B4GALT2, SLC6A9 TLE1, ANK3, TRIO, TAF1, and SYNE1) were confirmed to be significantly DE in our study. Integrated miRNA and mRNA expression data identified critical key hubs involved in ADHD. Finally, the GO and pathway enrichment analyses of all DE genes showed their deep involvement in immune functions, reinforcing the hypothesis that an immune imbalance might contribute to the ADHD etiology. Despite the relatively small sample size, in this study we were able to build a complex miRNA-target interaction network in children with ADHD that might help in deciphering the disease pathogenesis. Validation in larger samples should be performed in order to possibly suggest novel therapeutic strategies for treating this complex disease. View Full-Text
Keywords: circulating biomarkers; microRNA; transcriptome; targetome; bioinformatics; high-throughput next-generation sequencing (HT-NGS) circulating biomarkers; microRNA; transcriptome; targetome; bioinformatics; high-throughput next-generation sequencing (HT-NGS)
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Nuzziello, N.; Craig, F.; Simone, M.; Consiglio, A.; Licciulli, F.; Margari, L.; Grillo, G.; Liuni, S.; Liguori, M. Integrated Analysis of microRNA and mRNA Expression Profiles: An Attempt to Disentangle the Complex Interaction Network in Attention Deficit Hyperactivity Disorder. Brain Sci. 2019, 9, 288.

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