From Data to Insights: Machine Learning Empowers Prognostic Biomarker Prediction in Autism.
Ecmel MehmetbeyogluAbdulkerim DumanSerpil TaheriYusuf OzkulMinoo RassoulzadeganPublished in: Journal of personalized medicine (2023)
Autism Spectrum Disorder (ASD) poses significant challenges to society and science due to its impact on communication, social interaction, and repetitive behavior patterns in affected children. The Autism and Developmental Disabilities Monitoring (ADDM) Network continuously monitors ASD prevalence and characteristics. In 2020, ASD prevalence was estimated at 1 in 36 children, with higher rates than previous estimates. This study focuses on ongoing ASD research conducted by Erciyes University. Serum samples from 45 ASD patients and 21 unrelated control participants were analyzed to assess the expression of 372 microRNAs (miRNAs). Six miRNAs (miR-19a-3p, miR-361-5p, miR-3613-3p, miR-150-5p, miR-126-3p, and miR-499a-5p) exhibited significant downregulation in all ASD patients compared to healthy controls. The current study endeavors to identify dependable diagnostic biomarkers for ASD, addressing the pressing need for non-invasive, accurate, and cost-effective diagnostic tools, as current methods are subjective and time-intensive. A pivotal discovery in this study is the potential diagnostic value of miR-126-3p, offering the promise of earlier and more accurate ASD diagnoses, potentially leading to improved intervention outcomes. Leveraging machine learning, such as the K-nearest neighbors (KNN) model, presents a promising avenue for precise ASD diagnosis using miRNA biomarkers.
Keyphrases
- autism spectrum disorder
- intellectual disability
- attention deficit hyperactivity disorder
- machine learning
- end stage renal disease
- ejection fraction
- randomized controlled trial
- newly diagnosed
- young adults
- small molecule
- risk factors
- public health
- peritoneal dialysis
- mental health
- patient reported outcomes
- type diabetes
- chronic kidney disease
- high resolution
- poor prognosis
- cell proliferation
- metabolic syndrome
- high throughput
- working memory
- adipose tissue
- skeletal muscle
- long non coding rna
- human health
- risk assessment
- binding protein
- network analysis