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The polygenic hazard score mediates the association between plasma neurofilament light chain and brain morphometry in dementia spectrum
•Plasma NfL levels significantly increase as cognitive impairment progresses.•Plasma NfL levels strongly correlate with the brain atrophy measures, particularly in MCIs and ADs.•PHS increases as the disease advances from CN to AD.•PHS mediates the relationship between plasma NfL and brain atrophy in...
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Published in: | Archives of gerontology and geriatrics 2025-03, Vol.130, p.105703, Article 105703 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | •Plasma NfL levels significantly increase as cognitive impairment progresses.•Plasma NfL levels strongly correlate with the brain atrophy measures, particularly in MCIs and ADs.•PHS increases as the disease advances from CN to AD.•PHS mediates the relationship between plasma NfL and brain atrophy in patients with MCI.
Blood-based biomarkers such as plasma neurofilament light chain (pNfL) are crucial biomarkers for Alzheimer's disease (AD). Additionally, neuroimaging techniques such as tensor-based morphometry (TBM), which identify structural changes in the brain, can provide valuable insights into AD pathophysiology. However, the role of genetics in linking the blood based biomarkers and imaging findings has not been well understood. Therefore, we aimed to investigate whether the polygenic hazard score (PHS), affects the association between neurofibrillary tangles and neuritis plaques and brain imaging findings.
Using the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, we enrolled all participants for whom a complete dataset of pNfL, PHS, and TBM was available. Using Python, we analyzed the associations between pNfL levels and the TBM data of 567 participants incluidng 152 cognitively normal individuals, 309 participants with mild cognitive impairment (MCI), and 106 patients with AD. We used a mediation analysis to identify the effect of PHS in how pNfL is associated with TBM measures.
We found a negative correlation between the accelerated TBM measure and NfL levels in both the MCI and AD groups. The pNfL concentration predicted both accelerated statistical and anatomical TMB measures in patients with MCI. Furthermore, PHS mediatedthe association between statistical TBM measures and NfL levels in AD patients, to the extent that the significant association between NfL and TBM measures disappeared after accounting for PHS.
We showed that although pNfL can predict the cognitiee decline and imaging findings in AD, this effect is mediated by the PHS. Therefore, PHS should be considered when investigating AD biomarkers and their corresponding imaging findings.
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ISSN: | 0167-4943 1872-6976 1872-6976 |
DOI: | 10.1016/j.archger.2024.105703 |