Prognostic polypeptide blood plasma biomarkers of Alzheimer's disease progression
Hongqian Yang1, Yaroslav Lyutvinskiy1, Sanna-Kaisa Herukka2
1Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Background:
Patients with mild cognitive impairment (MCI) have varying risks of progression to Alzheimer's disease (AD).
Objective:
To test the utility of the relative abundances of blood plasma polypeptides for predicting the risk of AD progression.
Methods:
119 blood plasma samples of patients with MCI with different outcomes (stable MCI and progressive MCI) were analyzed by untargeted, label-free shotgun proteomics. Predictive biomarkers of progressive MCI were selected by multivariate analysis, followed by cross-validation of the predictive model.
Results:
The best model demonstrated the accuracy of ca. 79% in predicting progressive MCI. Sex differences of the predictive biomarkers were also assessed. We have identified some sex-specific protein biomarkers, e.g., alpha-2-macrogloblin (A2M), which strongly correlates with female AD progression but not with males.
Conclusion:
Significant sex bias in AD-specific biomarkers underscores the necessity of selecting sex-balanced cohort in AD biomarker studies, or using sex-specific models. Blood protein biomarkers are found to be promising for predicting AD progression in clinical settings.
Insights
Blood protein biomarkers can predict Alzheimer's disease progression in mild cognitive impairment patients with 79% accuracy. Sex-specific models are crucial, as some biomarkers like alpha-2-macroglobulin differ between sexes.
Area of Science:
- Neuroscience
- Biomarker Discovery
- Proteomics
Background:
- Mild cognitive impairment (MCI) presents variable risks for progression to Alzheimer's disease (AD).
- Accurate prediction of AD progression is vital for timely intervention.
Purpose of the Study:
- To evaluate blood plasma polypeptide levels as predictors of AD progression in MCI patients.
- To identify potential protein biomarkers for assessing AD risk.
Main Methods:
- 119 MCI patient plasma samples analyzed using untargeted, label-free shotgun proteomics.
- Multivariate analysis and cross-validation employed to select predictive biomarkers for progressive MCI.
Main Results:
- A predictive model achieved approximately 79% accuracy in identifying progressive MCI.
- Sex-specific protein biomarkers were identified, including alpha-2-macroglobulin (A2M), which showed a strong correlation with AD progression in females but not males.
Conclusions:
- Sex bias in AD biomarkers necessitates sex-balanced cohorts or sex-specific models in research.
- Blood protein biomarkers show promise for predicting AD progression in clinical settings.
Related Concept Videos
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
Alzheimer Disease ll: Pathophysiology
Alzheimer Disease l: Introduction
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
Alzheimer's Disease: Treatment


