Identification of blood plasma protein ratios for distinguishing Alzheimer's disease from healthy controls using machine learning.

ABSTRACT: Early detection of Alzheimer's disease is essential for effective treatment and the development of therapies that modify disease progression. Developing sensitive and specific noninvasive diagnostic tools is crucial for improving clinical outcomes and advancing our understanding of this condition. Liquid biopsy techniques, especially those involving plasma biomarkers, provide a promising noninvasive method for early diagnosis and disease monitoring. In this study, we analyzed the plasma proteomic profiles of 38 healthy individuals, with an average age of 66.5 years, and 22 patients with Alzheimer's disease, with an average age of 79.7 years. Proteins in the plasma were quantified using specialized panels designed for proteomic extension assays. Through computational analysis using a linear

SUBMITTER: Safi A 

PROVIDER: S-EPMC11840181 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature