Background: Accumulation of amyloid-β (Aβ) and hyperphosphorylated tau (ptau) accompany cerebral small vessel disease (CSVD) in the aging brain and in Alzheimer's disease. CSVD is characterized by a heterogeneous spectrum of histopathological features possibly initiated by an endothelial dysfunction and blood-brain barrier (BBB) breakdown.
Objective: We test the hypothesis that characteristic features of CSVD are associated with the accumulation of Aβ and ptau in non-transgenic spontaneously hypertensive stroke-prone rats (SHRSP).
Methods: Amyloid-β protein precursor (AβPP) and tau were investigated by western blotting (n = 12 SHRSP, age 20 weeks). Lectin staining and plasma protein immunocytochemistry for BBB examination were performed in 38 SHRSP (age 12-44 weeks) and Aβ (n = 29) and ptau (n = 17) immunocytochemistry in 20-44 week-old SHRSP. We assessed the correlation between extracellular amyloid deposits and features of CSVD (n = 135, 12-44 weeks).
Results: In 20 week-old SHRSP, cortical AβPP expression was significantly increased compared to Wistar controls but tau levels were unchanged. At ages of 20-44 weeks, SHRSP exhibited an age-dependent increase in extracellular Aβ. Ptau was observed in 26-44 week-old SHRSP. Distinct features of CSVD pathology developed from the age of 12 weeks on.
Conclusion: We demonstrate that in a hypertensive rat model that displays features of CSVD from 12 weeks, there is an age-dependent extracellular deposition of Aβ observed from 20 weeks onwards, increased AβPP expression at 20 weeks and ptau accumulation from 26 weeks on. This study suggests that CSVD associated with hypertension results in an age-related failure of Aβ clearance, increase in AβPP expression, and intraneuronal tau hyperphosphorylation.
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http://dx.doi.org/10.3233/JAD-132618 | DOI Listing |
Sci Rep
December 2024
GIN, IMN-UMR5293, CEA, CNRS, Université de Bordeaux, Bordeaux, France.
Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), a prominent vascular contributor to age-related cognitive decline, dementia, and stroke. They are visible as spherical hypointense signals on T2*- or susceptibility-weighted magnetic resonance imaging (MRI) sequences. An increasing number of automated CMB detection methods being proposed are based on supervised deep learning (DL).
View Article and Find Full Text PDFFront Aging Neurosci
December 2024
Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China.
Background: Cerebral white matter hyperintensity (WMH) is a pivotal imaging feature of cerebral small vessel disease (CSVD), closely correlated with an elevated risk of ischemic stroke (IS). Trimethylamine N-oxide (TMAO), a metabolite of gut microbiota, is increasingly associated with IS and atherosclerosis. However, the intricate relationship between TMAO and WMH remains ambiguous.
View Article and Find Full Text PDFCNS Neurosci Ther
December 2024
Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Introduction: Cerebral small vessel disease (CSVD) is highly prevalent in elder individuals, and its variable cognitive outcomes indicate some cognitive reserve mechanisms. Contribution from functional network features is still unclear. Here we explore how functional segregation-integration preference influences the cognitive changes against CSVD.
View Article and Find Full Text PDFJ Stroke Cerebrovasc Dis
December 2024
Department of Radiology, Zigong First People's Hospital, Zigong, PR China. Electronic address:
Background: Cerebral small vessel disease (CSVD) is a common disease in the elderly, and its pathogenesis is still being explored. Glymphatic clearance function can be evaluated by diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index. This study aims to investigate the changes in glymphatic clearance function in CSVD patients and its relationship with imaging markers and risk factors of CSVD.
View Article and Find Full Text PDFBrain
December 2024
Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.
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