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Plasma biomarkers as core mediators in functional network abnormalities: Evidence from a two-cohort study
Min Wei1, Ying Zhang2, Min Wang3
1Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Plasma biomarkers like p-tau181 and p-tau217 mediate the link between amyloid beta (Aβ) deposition and altered brain functional networks, showing potential for early Alzheimer's disease detection.
Area of Science:
- Neuroscience
- Biomarker Research
- Neuroimaging
Background:
- Established association between amyloid beta (Aβ) deposition, tau pathology, and disruptions in brain functional networks.
- Unclear role of plasma biomarkers in mediating these relationships.
Purpose of the Study:
- To investigate the mediating role of plasma biomarkers in the relationship between Aβ deposition and functional network alterations.
- To explore underlying pathways connecting Aβ pathology, plasma biomarkers, and brain connectivity.
Main Methods:
- Analysis of plasma biomarkers, amyloid beta positron emission tomography (PET), and resting-state functional magnetic resonance imaging data from 348 participants across two cohorts (SILCODE and ADNI).
- Assessment of correlations between plasma biomarkers, functional connectivity, and global Aβ standardized uptake value ratio (SUVR).
- Mediation analysis to identify pathways linking Aβ PET SUVR, plasma biomarkers, and functional networks.
Main Results:
- Significant correlations were found between plasma biomarkers (p-tau181, p-tau217, NfL, GFAP, Aβ42/40) and global SUVR and functional connectivity.
- Functional connectivity variations across different brain networks were observed across Aβ stages, mediated by plasma biomarkers.
- A key pathway identified: Aβ PET SUVR → plasma biomarkers (p-tau181, p-tau217) → functional networks, with fully mediated effects.
Conclusions:
- Plasma biomarkers, particularly p-tau181 and p-tau217, play a central mediating role in Aβ accumulation and functional network alterations.
- These findings highlight the potential of plasma biomarkers for tracking Alzheimer's disease progression, identifying pathological changes, and enabling early disease detection across diverse populations.
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