AI Article Synopsis

  • The study explores the connection between amyloidosis in retinal blood vessels and cognitive impairment, especially in Alzheimer's disease (AD), utilizing a new image processing method for analyzing retinal amyloid plaque distribution in individuals with varying cognitive abilities.
  • Results showed higher levels of amyloid plaques near retinal arteries compared to veins, with increased plaque counts linked to cognitive decline and neuroimaging metrics in cognitively impaired individuals.
  • The findings suggest that retinal imaging could serve as a predictive tool for cognitive decline and AD progression, highlighting the need for larger studies to better understand the relationship between retinal amyloid deposition and cognitive health over time.

Article Abstract

The relationship between amyloidosis and vasculature in cognitive impairment and Alzheimer's disease (AD) pathogenesis is increasingly acknowledged. We conducted a quantitative and topographic assessment of retinal perivascular amyloid plaque (AP) distribution in individuals with both normal and impaired cognition. Using a retrospective dataset of scanning laser ophthalmoscopy fluorescence images from twenty-eight subjects with varying cognitive states, we developed a novel image processing method to examine retinal peri-arteriolar and peri-venular curcumin-positive AP burden. We further correlated retinal perivascular amyloidosis with neuroimaging measures and neurocognitive scores. Our study unveiled that peri-arteriolar AP counts surpassed peri-venular counts throughout the entire cohort (P < 0.0001), irrespective of the primary, secondary, or tertiary vascular branch location, with a notable increase among cognitively impaired individuals. Moreover, secondary branch peri-venular AP count was elevated in the cognitively impaired (P < 0.01). Significantly, peri-venular AP count, particularly in secondary and tertiary venules, exhibited a strong correlation with clinical dementia rating, Montreal cognitive assessment score, hippocampal volume, and white matter hyperintensity count. In conclusion, our exploratory analysis detected greater peri-arteriolar versus peri-venular amyloidosis and a marked elevation of amyloid deposition in secondary branch peri-venular regions among cognitively impaired subjects. These findings underscore the potential feasibility of retinal perivascular amyloid imaging in predicting cognitive decline and AD progression. Larger longitudinal studies encompassing diverse populations and AD-biomarker confirmation are warranted to delineate the temporal-spatial dynamics of retinal perivascular amyloid deposition in cognitive impairment and the AD continuum.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11212356PMC
http://dx.doi.org/10.1186/s40478-024-01810-2DOI Listing

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Article Synopsis
  • The study explores the connection between amyloidosis in retinal blood vessels and cognitive impairment, especially in Alzheimer's disease (AD), utilizing a new image processing method for analyzing retinal amyloid plaque distribution in individuals with varying cognitive abilities.
  • Results showed higher levels of amyloid plaques near retinal arteries compared to veins, with increased plaque counts linked to cognitive decline and neuroimaging metrics in cognitively impaired individuals.
  • The findings suggest that retinal imaging could serve as a predictive tool for cognitive decline and AD progression, highlighting the need for larger studies to better understand the relationship between retinal amyloid deposition and cognitive health over time.
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Introduction: The vascular contribution to Alzheimer's disease (AD) is tightly connected to cognitive performance across the AD continuum. We topographically describe retinal perivascular amyloid plaque (AP) burden in subjects with normal or impaired cognition.

Methods: Using scanning laser ophthalmoscopy, we quantified retinal peri-arteriolar and peri-venular curcumin-positive APs in the first, secondary and tertiary branches in twenty-eight subjects.

View Article and Find Full Text PDF

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