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Plasma protein risk scores for mild cognitive impairment and Alzheimer's disease in the Framingham heart study
Habbiburr Rehman1, Ting Fang Alvin Ang2,3, Qiushan Tao4
1Departments of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Introduction:
It is unclear whether aggregated plasma protein risk scores (PPRSs) could be useful in predicting the risks of mild cognitive impairment (MCI) and Alzheimer's disease (AD).
Methods:
The Cox proportional hazard model with the Least Absolute Shrinkage and Selection Operator penalty was used to build the PPRSs for MCI and AD in 1515 Framingham Heart Study Generation 2 with 1128 proteins measured in plasma at exam 5 (cognitively normal [CN] = 1258, MCI = 129, AD = 128).
Results:
MCI PPRS had a hazard ratio (HR) of 6.97 [5.34, 9.12], with a discriminating power (C-index = 82.52%). AD PPRS had a HR of 5.74 [4.67, 7.05] (C-index = 88.15%). Both PPRSs were also significantly associated with cognitive changes, brain atrophy, and plasma AD biomarkers. Proteins in the MCI and AD PPRSs were involved in several pathways related to leukocyte, chemotaxis, immunity, inflammation, and cellular migration.
Discussion:
This study suggests that PPRSs serve well to predict the risk of developing MCI and AD as well as cognitive changes and AD-related pathogenesis in the brain.
Highlights:
PPRSs were developed for the risk of AD and AD preclinical stage, MCI. PPRSs were developed for MCI and AD associated with cognitive changes, loss of brain volume, and increasing level of plasma AD biomarkers. Leukocyte, chemotaxis, immunity, inflammation, and cellular migration enriched in proteins were identified as being involved in MCI and AD PPRSs.
Insights
Plasma protein risk scores (PPRSs) effectively predict mild cognitive impairment (MCI) and Alzheimer's disease (AD) risk. These scores also correlate with cognitive decline, brain changes, and Alzheimer's biomarkers, highlighting their predictive potential.
Area of Science:
- Neuroscience
- Biomarkers
- Proteomics
Background:
- The predictive utility of aggregated plasma protein risk scores (PPRSs) for mild cognitive impairment (MCI) and Alzheimer's disease (AD) remains uncertain.
- Investigating novel biomarkers for early detection of neurodegenerative diseases is crucial.
Purpose of the Study:
- To develop and validate plasma protein risk scores (PPRSs) for predicting the risk of MCI and AD.
- To assess the association of PPRSs with cognitive changes, brain atrophy, and AD biomarkers.
Main Methods:
- Utilized the Cox proportional hazard model with Least Absolute Shrinkage and Selection Operator penalty.
- Developed PPRSs for MCI and AD using plasma protein data from 1515 participants in the Framingham Heart Study Generation 2.
- Measured 1128 proteins in plasma from cognitively normal, MCI, and AD participants.
Main Results:
- MCI PPRS demonstrated a hazard ratio (HR) of 6.97 (95% CI: 5.34-9.12) with 82.52% discrimination (C-index).
- AD PPRS showed a HR of 5.74 (95% CI: 4.67-7.05) with 88.15% discrimination (C-index).
- Both PPRSs significantly correlated with cognitive changes, brain atrophy, and plasma AD biomarkers.
Conclusions:
- PPRSs are valuable tools for predicting the risk of developing MCI and AD.
- PPRSs are associated with key indicators of AD pathogenesis, including cognitive decline and brain changes.
- Identified protein pathways involved in immunity, inflammation, and cellular migration are implicated in MCI and AD risk.
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