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Published on: August 6, 2021
Cortical layer multi-parameter analysis of neurovascular impairments in AD/ADRD rodent model with in vivo optical
Hyomin Jeong1, Jiaxiang Ren2, Wensheng Cheng2
1Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA.
Background:
Neurovascular biomarkers have the potential to enhance early diagnosis of Alzheimer's disease (AD) and AD-related dementias (ADRD), as cerebrovascular alterations often precede neurodegeneration. However, their clinical application remains challenging due to insufficient specificity, heterogeneity, and technical limitations.
Methods:
Here, we report that vessel- and cortical layer-specific parameters exhibit promising diagnostic sensitivity for neurovascular impairments in an AD/ADRD mouse model, apolipoprotein E (APOE) 4 knock-in (KI), compared to APOE3-KI at 12 months of age. Using two in vivo imaging modalities, 3D capillary-resolution optical Doppler tomography and laser speckle contrast imaging, we measured 36 morphological and functional vascular parameters and evaluated their diagnostic performance using a machine-learning Support Vector Machine classifier.
Results:
APOE4 mice showed significant alterations including reduced venular and arterial cerebral blood flow velocities and diameters, increased vascular tortuosity, layer-dependent decreases in vascular density, and impaired cerebrovascular reactivity. Venule- and microcirculation-related parameters and dynamic vasoactivity to brain stimuli demonstrated high diagnostic accuracy (~ 90%).
Conclusion:
Together, these findings provide in vivo evidence for early, cortical layer-specific neurovascular dysfunction caused by APOE4 that increases the susceptibility to dementia and highlight the potential of combining neurovascular biomarkers from optical imaging with AI-based classifier for identification of increased AD/ADRD risk.
