Detection of disease-associated microRNAs - application for autism spectrum disorders

Barbora Konečná1, Jana Radošinská2,3, Petra Keményová2

  • 1Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University in Bratislava, 811 08 Bratislava, Slovakia.

Insights

Autism spectrum disorder (ASD) diagnosis needs better biomarkers. This review highlights microRNAs (miRNAs) within extracellular vesicles as promising ASD biomarkers, proposing standardized methods for reliable detection.

Area of Science:

  • Neurodevelopmental Disorders
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Autism spectrum disorder (ASD) diagnosis currently lacks a definitive biological marker.
  • MicroRNAs (miRNAs) within extracellular vesicles (EVs), including exosomes, are emerging as potential cell-to-cell communicators and disease indicators.
  • Research into miRNAs in EVs is expanding across scientific fields, including neurodevelopmental disorders.

Purpose of the Study:

  • To review and synthesize current information on miRNAs as potential biomarkers for ASD.
  • To identify challenges and propose standardized methodologies for reliable miRNA biomarker discovery in ASD.
  • To emphasize the role of extracellular vesicle-derived miRNAs in neurodevelopmental disorder research.

Main Methods:

  • Comprehensive literature review of studies investigating miRNAs in brain tissue and biofluids related to ASD.
  • Analysis of existing findings on miRNAs associated with brain cells and ASD.
  • Proposal of a standardized workflow for sample collection, processing, storage, and analysis.

Main Results:

  • Heterogeneity in current findings necessitates standardized methods for consistent results.
  • High-throughput sequencing is identified as an optimal method for miRNA analysis.
  • Standardized bioinformatics and validation procedures are crucial for avoiding misvalidation.

Conclusions:

  • MicroRNAs encapsulated in extracellular vesicles represent a promising avenue for ASD biomarker development.
  • Establishing uniform methodologies, from patient stratification to data analysis, is essential for reliable biomarker identification.
  • A standardized approach can lead to the discovery of robust biomarkers for characterizing ASD presence.

Related Concept Videos