Machine learning uncovers novel sex-specific dementia biomarkers linked to autism and eye diseases.

ABSTRACT:

Background

Recently, microRNAs (miRNAs) have attracted significant interest as predictive biomarkers for various types of dementia, including Alzheimer's disease (AD), vascular dementia (VaD), dementia with Lewy bodies (DLB), normal pressure hydrocephalus (NPH), and mild cognitive impairment (MCI). Machine learning (ML) methods enable the integration of miRNAs into highly accurate predictive models of dementia.

Objective

To investigate the differential expression of miRNAs across dementia subtypes compared to normal controls (NC) and analyze their enriched biological and disease pathways. Additionally, to evaluate the use of these miRNAs in binary and multiclass ML models for dementia prediction in both overall and sex-specific datasets.

Methods

Using data comprising

SUBMITTER: Khan A 

PROVIDER: S-EPMC11864256 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature