"Longitudinal plasma proteomics: relation to incident Alzheimer disease dementia and biomarkers"

First author: Dr. Eun Hye Lee (Postdoctoral Fellow, Dr. Jo's Medical AI Lab)

Authors: Eun Hye Lee, Yen-Ning Huang, Tamina Park, Shiwei Liu, Nicholas Adzibolosu, Soumilee Chaudhuri, Paula J. Bice, Jeffrey L. Dage, Jared R. Brosch, Sujuan Gao, Liana G. Apostolova, Donna M. Wilcock, Shannon L. Risacher, Andrew J. Saykin*, Taeho Jo*, and Kwangsik Nho*

This study presents a comprehensive analysis of longitudinal plasma proteomics data from 347 participants at the Indiana Alzheimer's Disease Research Center to identify molecular signatures associated with Alzheimer's disease progression. The research identified two proteins (ACES and IGFALS) associated with baseline cognitive stages and six proteins (ACES, C7, ZCD1, IL-17C, CC055, and SO5A1) linked to incident AD development. These longitudinal protein changes demonstrated significant associations with both neuroimaging and plasma AD biomarkers, achieving a 76% AUC-ROC for predicting incident AD.

Key Finding: The dynamic changes in plasma proteins over time provide valuable molecular signatures for AD progression and demonstrate strong potential as non-invasive biomarkers for predicting the development of Alzheimer's disease, offering a promising avenue for early detection and intervention strategies.