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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
Biomarkers
Ashwati Vipin1, Gurveen Kaur Sandhu2, Rasyiqah Binte Shaik Mohamed Salim3
1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Background:
Reduced cerebral perfusion is a common pathological alteration in mild cognitive impairment and dementia[1]. Lower grey matter(GM) perfusion is predictive of cognitive decline[2] and conversion from mild cognitive impairment to dementia[3]. Thus, quantification of GM perfusion can be an important candidate biomarker of dementia risk[4]. Additionally, Aβ1-40 as well as neuroinflammation have also been shown to play a significant role in vascular aging[5]. However, the link between CBF alterations and primary pathologies including Aβ1-40 and fibrillar tau remains unclear. To address this gap, we sought to examine the impact of plasma Aβ, phosphorylated-tau 181 (p-tau181) and age on cerebral perfusion through pathways involving white matter hyperintensities burden (WMH) and the neuroinflammation marker, glial fibrillary acidic protein (GFAP).
Method:
Study participants belonged to the community-based Biomarker and Cognition Cohort Study in Singapore and underwent cross-sectional structural(T1)-functional (Arterial spin labelling perfusion) MRI. Plasma-based SIMOA assessment of p-tau181, Aβ1-40 and GFAP was carried out. Path analyses was constructed using RStudio lavaan package. Key predictors included p-tau181, Aβ1-40, age-at-visit with global grey matter cerebral perfusion as the main outcome variable. Log-transformed WMH volume and plasma GFAP were included as mediators. Direct and indirect paths were defined. Missing values were imputed using mean imputation.
Result:
729 participants (mean age 62.8 years; 59.3% female sex) were included. Path analysis demonstrated a good model fit with a comparative fit index of 0.986 and Standardized Root Mean Square Residual of 0.014. Significant paths revealed p-tau181 and age-at-visit being strong predictors of both GFAP and WMH, with logWMH negatively affecting GM perfusion. Aβ1-40 was also a positive predictor of GFAP. Notably, the indirect effect of p-tau181 on GM perfusion through logWMH was significant and negative. There were no indirect effects of p-tau181 on GM perfusion through GFAP. There were also no indirect effects of Aβ1-40 on GM perfusion through GFAP or WMH.
Conclusion:
This study attempts to examine simultaneous direct and indirect causal pathways between Aβ1-40, p-tau181 and age-at-visit on GM perfusion through GFAP and WMH. Our finding of indirect effect of p-tau181 on GM hypoperfusion suggests a causal downstream effect of elevated p-tau181 resulting in reduced GM perfusion through WMH.
Insights
Elevated phosphorylated-tau 181 (p-tau181) is linked to reduced grey matter (GM) brain perfusion via white matter hyperintensities (WMH). This suggests p-tau181 may contribute to dementia risk by impacting cerebral blood flow.
Area of Science:
- Neuroscience
- Biomarkers
- Neuroimaging
Background:
- Reduced cerebral perfusion is a hallmark of cognitive decline and dementia.
- Plasma biomarkers like Aβ1-40 and neuroinflammation markers are implicated in vascular aging.
- The relationship between cerebral blood flow (CBF) alterations and core pathologies (Aβ1-40, tau) is not fully understood.
Purpose of the Study:
- To investigate the impact of plasma Aβ1-40, phosphorylated-tau 181 (p-tau181), and age on cerebral perfusion.
- To explore the mediating roles of white matter hyperintensities (WMH) and glial fibrillary acidic protein (GFAP) in these relationships.
- To elucidate direct and indirect causal pathways influencing grey matter (GM) perfusion.
Main Methods:
- Utilized data from the Biomarker and Cognition Cohort Study in Singapore.
- Employed cross-sectional Arterial Spin Labelling perfusion MRI and plasma biomarker assessments (p-tau181, Aβ1-40, GFAP).
- Conducted path analyses to model relationships between predictors (p-tau181, Aβ1-40, age), mediators (WMH, GFAP), and outcome (GM perfusion).
Main Results:
- p-tau181 and age significantly predicted both GFAP and WMH.
- Increased WMH volume was associated with reduced GM perfusion.
- A significant indirect effect of p-tau181 on GM perfusion was observed, mediated by WMH, indicating p-tau181 contributes to hypoperfusion via WMH.
Conclusions:
- p-tau181 and age influence GM perfusion indirectly through WMH and GFAP.
- Elevated p-tau181 appears to causally contribute to GM hypoperfusion by increasing WMH burden.
- These findings highlight potential pathways linking tau pathology to cerebrovascular changes relevant to dementia risk.
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