Cargando…
Salivary microRNA profiling dysregulation in autism spectrum disorder: A pilot study
INTRODUCTION: Autism spectrum disorders (ASD) are the most prevalent neurobiological disorders in children. The etiology comprises genetic, epigenetic, and environmental factors such as dysfunction of the immune system. Epigenetic mechanisms are mainly represented by DNA methylation, histone modific...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629840/ https://www.ncbi.nlm.nih.gov/pubmed/36340774 http://dx.doi.org/10.3389/fnins.2022.945278 |
_version_ | 1784823477593702400 |
---|---|
author | Kalemaj, Zamira Marino, Maria Michela Santini, Annamaria Chiara Tomaselli, Giovanni Auti, Amogh Cagetti, Maria Grazia Borsello, Tiziana Costantino, Antonella Inchingolo, Francesco Boccellino, Mariarosaria Di Domenico, Marina Tartaglia, Gianluca Martino |
author_facet | Kalemaj, Zamira Marino, Maria Michela Santini, Annamaria Chiara Tomaselli, Giovanni Auti, Amogh Cagetti, Maria Grazia Borsello, Tiziana Costantino, Antonella Inchingolo, Francesco Boccellino, Mariarosaria Di Domenico, Marina Tartaglia, Gianluca Martino |
author_sort | Kalemaj, Zamira |
collection | PubMed |
description | INTRODUCTION: Autism spectrum disorders (ASD) are the most prevalent neurobiological disorders in children. The etiology comprises genetic, epigenetic, and environmental factors such as dysfunction of the immune system. Epigenetic mechanisms are mainly represented by DNA methylation, histone modifications, and microRNAs (miRNA). The major explored epigenetic mechanism is mediated by miRNAs which target genes known to be involved in ASD pathogenesis. Salivary poly-omic RNA measurements have been associated with ASD and are helpful to differentiate ASD endophenotypes. This study aims to comprehensively examine miRNA expression in children with ASD and to reveal potential biomarkers and possible disease mechanisms so that they can be used to improve faction between individuals by promoting more personalized therapeutic approaches. MATERIALS AND METHODS: Saliva samples were collected from 10 subjects: 5 samples of children with ASD and 5 from healthy controls. miRNAs were analyzed using an Illumina Next-Generation-Sequencing (NGS) system. RESULTS: Preliminary data highlighted the presence of 365 differentially expressed miRNAs. Pathway analysis, molecular function, biological processes, and target genes of 41 dysregulated miRNAs were assessed, of which 20 were upregulated, and 21 were downregulated in children with ASD compared to healthy controls. CONCLUSION: The results of this study represent preliminary but promising data, as the identified miRNA pathways could represent useful biomarkers for the early non-invasive diagnosis of ASD. |
format | Online Article Text |
id | pubmed-9629840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96298402022-11-03 Salivary microRNA profiling dysregulation in autism spectrum disorder: A pilot study Kalemaj, Zamira Marino, Maria Michela Santini, Annamaria Chiara Tomaselli, Giovanni Auti, Amogh Cagetti, Maria Grazia Borsello, Tiziana Costantino, Antonella Inchingolo, Francesco Boccellino, Mariarosaria Di Domenico, Marina Tartaglia, Gianluca Martino Front Neurosci Neuroscience INTRODUCTION: Autism spectrum disorders (ASD) are the most prevalent neurobiological disorders in children. The etiology comprises genetic, epigenetic, and environmental factors such as dysfunction of the immune system. Epigenetic mechanisms are mainly represented by DNA methylation, histone modifications, and microRNAs (miRNA). The major explored epigenetic mechanism is mediated by miRNAs which target genes known to be involved in ASD pathogenesis. Salivary poly-omic RNA measurements have been associated with ASD and are helpful to differentiate ASD endophenotypes. This study aims to comprehensively examine miRNA expression in children with ASD and to reveal potential biomarkers and possible disease mechanisms so that they can be used to improve faction between individuals by promoting more personalized therapeutic approaches. MATERIALS AND METHODS: Saliva samples were collected from 10 subjects: 5 samples of children with ASD and 5 from healthy controls. miRNAs were analyzed using an Illumina Next-Generation-Sequencing (NGS) system. RESULTS: Preliminary data highlighted the presence of 365 differentially expressed miRNAs. Pathway analysis, molecular function, biological processes, and target genes of 41 dysregulated miRNAs were assessed, of which 20 were upregulated, and 21 were downregulated in children with ASD compared to healthy controls. CONCLUSION: The results of this study represent preliminary but promising data, as the identified miRNA pathways could represent useful biomarkers for the early non-invasive diagnosis of ASD. Frontiers Media S.A. 2022-10-19 /pmc/articles/PMC9629840/ /pubmed/36340774 http://dx.doi.org/10.3389/fnins.2022.945278 Text en Copyright © 2022 Kalemaj, Marino, Santini, Tomaselli, Auti, Cagetti, Borsello, Costantino, Inchingolo, Boccellino, Di Domenico and Tartaglia. 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 | Neuroscience Kalemaj, Zamira Marino, Maria Michela Santini, Annamaria Chiara Tomaselli, Giovanni Auti, Amogh Cagetti, Maria Grazia Borsello, Tiziana Costantino, Antonella Inchingolo, Francesco Boccellino, Mariarosaria Di Domenico, Marina Tartaglia, Gianluca Martino Salivary microRNA profiling dysregulation in autism spectrum disorder: A pilot study |
title | Salivary microRNA profiling dysregulation in autism spectrum disorder: A pilot study |
title_full | Salivary microRNA profiling dysregulation in autism spectrum disorder: A pilot study |
title_fullStr | Salivary microRNA profiling dysregulation in autism spectrum disorder: A pilot study |
title_full_unstemmed | Salivary microRNA profiling dysregulation in autism spectrum disorder: A pilot study |
title_short | Salivary microRNA profiling dysregulation in autism spectrum disorder: A pilot study |
title_sort | salivary microrna profiling dysregulation in autism spectrum disorder: a pilot study |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629840/ https://www.ncbi.nlm.nih.gov/pubmed/36340774 http://dx.doi.org/10.3389/fnins.2022.945278 |
work_keys_str_mv | AT kalemajzamira salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT marinomariamichela salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT santiniannamariachiara salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT tomaselligiovanni salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT autiamogh salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT cagettimariagrazia salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT borsellotiziana salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT costantinoantonella salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT inchingolofrancesco salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT boccellinomariarosaria salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT didomenicomarina salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy AT tartagliagianlucamartino salivarymicrornaprofilingdysregulationinautismspectrumdisorderapilotstudy |