Cardiovascular

Distinct ocular microvascular alterations in Alzheimer's disease and cerebral small vessel disease.

TL;DR

AD and CSVD exhibit distinct ocular microvascular alterations, supporting OCTA-derived measures as potential non-invasive biomarkers for differentiating these two conditions.

Key Findings

CSVD patients exhibited a higher burden of retinal ischemic perivascular lesions (RIPLs) compared to AD patients.

  • The study included 650 participants: 149 AD, 276 CSVD, and 225 cognitively unimpaired individuals
  • All comparisons of RIPL burden between CSVD and AD patients were statistically significant (all p < 0.05)
  • RIPLs were assessed using optical coherence tomography angiography (OCTA) metrics
  • This was a cross-sectional study design

AD patients showed reduced choriocapillaris (CC) density compared to other groups.

  • The reduction in choriocapillaris density in AD patients was statistically significant (p = 0.031)
  • Choriocapillaris density was measured using OCTA
  • Reduced CC density was associated with elevated phosphorylated tau 181 in the AD group (p = 0.001)
  • This suggests a link between choroidal vascular changes and AD-specific pathology

In the CSVD group, RIPLs were associated with total CSVD score, indicating a relationship between retinal and cerebral small vessel pathology.

  • The association between RIPLs and total CSVD score was statistically significant (p = 0.049)
  • Total CSVD score is a composite measure of cerebral small vessel disease burden
  • This association was specific to the CSVD group, not observed in the same manner in AD patients
  • RIPLs may reflect systemic small vessel disease affecting both retinal and cerebral vasculature

Reduced choriocapillaris density in the AD group was associated with elevated phosphorylated tau 181 levels.

  • The association was statistically significant (p = 0.001)
  • Phosphorylated tau 181 (p-tau 181) is a biomarker specific to AD pathology
  • This finding links choroidal microvascular changes directly to AD-specific tau pathology
  • The association was found within the AD group specifically

Machine learning models integrating OCTA metrics effectively differentiated AD from CSVD with an area under the curve of 0.86.

  • The machine learning model achieved an AUC of 0.86 in differentiating AD from CSVD
  • The models integrated multiple OCTA-derived microvascular metrics
  • An AUC of 0.86 indicates good discriminative performance
  • This supports OCTA-derived measures as potential non-invasive biomarkers for distinguishing between these two conditions

Both AD and CSVD involve vascular dysfunction, but the ocular microvascular alterations differ distinctly between the two conditions.

  • AD is characterized predominantly by reduced choriocapillaris density
  • CSVD is characterized predominantly by higher burden of retinal ischemic perivascular lesions (RIPLs)
  • These distinct patterns suggest different underlying vascular pathological mechanisms
  • The study used OCTA to non-invasively characterize these differences in 650 participants

What This Means

This research suggests that two brain diseases — Alzheimer's disease (AD) and cerebral small vessel disease (CSVD) — leave different fingerprints in the blood vessels of the eye, which can be detected using a non-invasive imaging technology called optical coherence tomography angiography (OCTA). In a study of 650 people (149 with AD, 276 with CSVD, and 225 without cognitive impairment), researchers found that patients with CSVD had more retinal lesions caused by poor blood flow (called retinal ischemic perivascular lesions), while patients with AD had reduced density of the tiny blood vessels beneath the retina (called the choriocapillaris). These differences were linked to known disease markers: the retinal lesions in CSVD correlated with overall disease severity in the brain, and the reduced choriocapillaris density in AD was linked to higher levels of phosphorylated tau, a protein associated with Alzheimer's pathology. Using these eye-based measurements in a machine learning model, researchers were able to distinguish between AD and CSVD with an accuracy reflected by an area under the curve of 0.86, which indicates good performance. This matters because AD and CSVD can be difficult to tell apart clinically, yet they may require different treatments. Currently, distinguishing between them often requires expensive or invasive tests. This research suggests that eye imaging with OCTA could serve as a practical, non-invasive tool to help differentiate AD from CSVD. Because the eye shares biological origins with the brain, changes in retinal blood vessels may provide a window into what is happening in the brain. If confirmed in larger studies, this approach could make diagnosis faster, cheaper, and less burdensome for patients.

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Citation

Zhang Z, Cao L, Liu P, Yang S, Yan Y, Kwapong W, et al.. (2026). Distinct ocular microvascular alterations in Alzheimer's disease and cerebral small vessel disease.. Alzheimer's &amp; dementia : the journal of the Alzheimer's Association. https://doi.org/10.1002/alz.71809