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Blood Analytes as Biomarkers of Mechanisms Involved in Alzheimer's Disease Progression
Andrea Baldini1, Alberto Greco1, Mirko Lomi2
1Department of Information Engineering, Faculty of Engineering, University of Pisa, 56122 Pisa, Italy.
Insights
Researchers identified key blood biomarkers, including cholesterol and iron levels, that correlate with Alzheimer's disease (AD) severity. These findings offer potential for early AD detection and new therapeutic targets.
Area of Science:
- Neurology
- Biochemistry
- Biomarker Discovery
Background:
- Alzheimer's disease (AD) is the primary cause of dementia, with unclear pathogenetic factors and systemic biochemical derangements.
- The relationship between systemic biochemical changes and AD onset/progression remains poorly understood.
Purpose of the Study:
- To identify blood biomarkers for accurate prognosis and monitoring of Alzheimer's disease progression.
- To investigate the biological pathways associated with identified blood analytes in AD.
Main Methods:
- Analysis of longitudinal clinical and biochemical data from 90 AD patients over 10 years.
- Grouping patients into four severity classes based on the Clinical Dementia Rating (CDR) Scale.
- Utilizing statistical models and the Reactome database (Pathfinder tool) to identify blood markers and associated pathways.
Main Results:
- An inverse significant relationship was found between high-density cholesterol, total cholesterol, iron, and ferritin levels and AD severity.
- These analytes are implicated in biological pathways known to be altered during AD progression.
- The identified markers reflect the complex and heterogeneous pathogenetic mechanisms of AD.
Conclusions:
- Specific blood analytes, including cholesterol and iron, show significant correlations with Alzheimer's disease severity.
- These biomarkers may serve as early indicators of AD progression.
- The identified analytes represent potential therapeutic targets for Alzheimer's disease.
Abstract:
Alzheimer's disease (AD) is the leading cause of dementia, but the pathogenetic factors are not yet well known, and the relationships between brain and systemic biochemical derangements and disease onset and progression are unclear. We aim to focus on blood biomarkers for an accurate prognosis of the disease. We used a dataset characterized by longitudinal findings collected over the past 10 years from 90 AD patients. The dataset included 277 observations (both clinical and biochemical ones, encompassing blood analytes encompassing routine profiles for different organs, together with immunoinflammatory and oxidative markers). Subjects were grouped into four severity classes according to the Clinical Dementia Rating (CDR) Scale: mild (CDR = 0.5 and CDR = 1), moderate (CDR = 2), severe (CDR = 3) and very severe (CDR = 4 and CDR = 5). Statistical models were used for the identification of potential blood markers of AD progression. Moreover, we employed the Pathfinder tool of the Reactome database to investigate the biological pathways in which the analytes of interest could be involved. Statistical results reveal an inverse significant relation between four analytes (high-density cholesterol, total cholesterol, iron and ferritin) with AD severity. In addition, the Reactome database suggests that such analytes could be involved in pathways that are altered in AD progression. Indeed, the identified blood markers include molecules that reflect the heterogeneous pathogenetic mechanisms of AD. The combination of such blood analytes might be an early indicator of AD progression and constitute useful therapeutic targets.
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