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Exosomal mRNA Signatures as Predictive Biomarkers for Risk and Age of Onset in Alzheimer’s Disease

2024; Multidisciplinary Digital Publishing Institute; Volume: 25; Issue: 22 Linguagem: Inglês

10.3390/ijms252212293

1661-6596

Daniel A. Bolívar, María Isabel Mosquera Heredia, Oscar M. Vidal, Ernesto Barceló, Ricardo Allegri, Luis Carlos Morales, Carlos Silvera‐Redondo, Mauricio Arcos‐Burgos, Pilar Garavito, Jorge I. Vélez,

Genetics, Aging, and Longevity in Model Organisms

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and memory loss. While the precise causes of AD remain unclear, emerging evidence suggests that messenger RNA (mRNA) dysregulation contributes to AD pathology and risk. This study examined exosomal mRNA expression profiles of 15 individuals diagnosed with AD and 15 healthy controls from Barranquilla, Colombia. Utilizing advanced bioinformatics and machine learning (ML) techniques, we identified differentially expressed mRNAs and assessed their predictive power for AD diagnosis and AD age of onset (ADAOO). Our results showed that ENST00000331581 (