bioRxivNeurosciencePreprint
Deep proteome analysis of plasma reveals novel biomarkers of mild cognitive impairment and Alzheimer's disease: A longitudinal study
Abstract
Ageing is the primary risk factor for AD; however, there is a poor understanding of the biological mechanisms by which the ageing process contributes to the development of AD in some individuals, while others progress to advanced age with relatively little AD neuropathology. To halt the progression of AD, the preclinical stage of neurodegeneration (before the onset of clinical symptoms) is anticipated to be the more effective time point for applying potentially disease-modifying interventions in AD. The main objective of this study was to understand the age and disease related proteomic changes are detectable in plasma, based on retrospective analysis of longitudinal data and cross-sectional analyses of clinically diagnosed cases. We conducted an in-depth plasma proteomics analysis using intensive depletion of high-abundant plasma proteins using the Agilent multiple affinity removal liquid chromatography (LC) column-Human 14 (Hu14) followed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS PAGE) technique. In this study, we have begun to address the following questions; (1) differences in plasma proteomic profiles between normal ageing, vs ageing with progress to cognitive decline (MCI) or disease (dementia, probable AD), (2) cross-sectional analysis of baseline data, when all subjects are clinically identified as cognitively normal, provides insight into the preclinical changes which precede subsequent progression to AD and potentially provide early biomarkers, and (3) comparison of plasma at the point of progression to clinically diagnosed onset of cognitive decline or AD, can provide potential plasma biomarkers to facilitate clinical diagnosis. Furthermore, our findings also identified some proteins previously discovered in AD CSF and brain proteomics signatures that could provide clinically meaningful information. We identified differentially expressed proteins which were associated with several biological and molecular processes that may serve as therapeutic targets and fluid biomarkers for the disease.
- Citations
- 2
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Identification of Novel Biomarkers for Alzheimer's Disease and Related Dementias Using Unbiased Plasma Proteomics
Benjamin Lacar, Shadi Ferdosi, … Asim S. Siddiqui·bioRxiv·Jan 5, 2024
- Interpretable Machine Learning Links Group-Specific Plasma Proteomics to Regional Structural Neuroimaging in Alzheimer's Disease
Hemshankar Laugi, Mohammadreza Hosseinzadehketilateh, … Xi Zhu·bioRxiv·Nov 4, 2026
- Predicting Alzheimer's disease phenotypes with aging clocks: an exploratory analysis
Cindy David Sarmento, Gabin Drouard, … Eero Vuoksimaa·Alzheimer s & Dementia Diagnosis Assessment & Disease MonitoringPeer-reviewed·Jul 1, 2026
- Multi-Platform Proteomic Analysis of Alzheimer's Disease Cerebrospinal Fluid and Plasma Reveals Network Biomarkers Associated with Proteostasis and the Matrisome
Eric B. Dammer, Lingyan Ping, … Erik C. B. Johnson·Alzheimer s Research & TherapyPeer-reviewed·Nov 16, 2022
- Rapid Mechanistic Bridging of an Alzheimer's Disease Plasma Protein Staging Panel Across Brain Proteomics Cohorts
Charles C. Kim, Meghan Kerrisk Campbell, … Peter Cimermančič·bioRxiv·Sep 4, 2026
- Synapse protein signatures in cerebrospinal fluid and plasma predict cognitive maintenance versus decline in Alzheimers disease
Hamilton Se‐Hwee Oh, Deniz Yagmur Urey, … Tony Wyss‐Coray·Nature MedicinePeer-reviewed·Mar 31, 2025