Plasma proteomic Alzheimer's risk score: Biological age clock and pseudotime trajectory

Plasma proteomic aging clocks and pseudotime provide potential markers for Alzheimer's disease (AD) risk. Cognition-optimized brain aging and pseudotime link to diagnosis and AD biomarkers. Brain aging clock and pseudotime improve the diagnosis classification performance. Pseudotime outperformed established plasma biomarkers for diagnosis classification.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-10-01
DOI
https://doi.org/10.1002/alz.70851
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Plasma proteomic Alzheimer's risk score: Biological age clock and pseudotime trajectory

Donna M. Wilcock, Shannon L. Risacher, Andrew J. Saykin, Nicholas K. Adzibolosu et al.
Alzheimer s & Dementia
Alzheimer's disease research and treatments
article

Plasma proteomic Alzheimer's risk score: Biological age clock and pseudotime trajectory

Donna M. Wilcock, Shannon L. Risacher, Andrew J. Saykin, Nicholas K. Adzibolosu, Liana G. Apostolova, Tamina Park, Sujuan Gao, Jeffrey L. Dage, Eun Hye Lee, Paula J. Bice, Soumilee Chaudhuri, Jared R. Brosch, Kwangsik Nho, Yen‐Ning Huang, Shiwei Liu
article en

Abstract

Plasma proteomic aging clocks and pseudotime provide potential markers for Alzheimer's disease (AD) risk. Cognition-optimized brain aging and pseudotime link to diagnosis and AD biomarkers. Brain aging clock and pseudotime improve the diagnosis classification performance. Pseudotime outperformed established plasma biomarkers for diagnosis classification.

Alzheimer s & DementiaVol. 21(10)
Indiana University School of Medicine, Wake Forest University (US), Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 61%
Alzheimer's disease research and treatments
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