Multimodal Molecular Mapping of the Vasculature in Human Cortex Reveals Lipid Markers of Cerebral Amyloid Angiopathy

Cerebral amyloid angiopathy (CAA) commonly co-occurs with Alzheimer's disease (AD), yet the molecular changes that accompany vascular β-amyloid deposition in human tissue remain incompletely defined. Herein, we use a novel imaging approach that combines matrix-assisted laser desorption/ionization imaging mass spectrometry (IMS) with immunofluorescence microscopy on the same sections of postmortem human frontal cortex to map the lipid microenvironment of leptomeningeal vasculature in cases with and without CAA. Autofluorescence-guided regions-of-interest were imaged by IMS in both negative and positive ion modes and registered to post-IMS-acquired microscopy images. Immunofluorescence microscopy using collagen IV, α-smooth muscle actin (αSMA), and thiazine red enabled automated segmentation of total, amyloidpositive, and amyloid-negative vasculature regions. A CAA index, the ratio of amyloid-positive area to total vasculature area in a region imaged by IMS, was used to define vasculature and classify each case into having CAA, or CAA-present and not having CAA, or CAA-absent. An interpretable machine learning approach (XGBoost models with Shapley additive explanations for interpretation) was trained on pixel-level spectra and identified lipid signatures of vascular identity shared across groups as well as class-specific marker candidates that distinguished CAA-present from CAA-absent vasculature. CAA-present vessels were enriched for gangliosides ( <i>e.g.</i> , GM1), whereas CAA-absent vessels were characterized by higher contributions from phosphatidylserines ( <i>e.g.</i> , long-chain polyunsaturated PS species). Univariate differences were inconsistent between the two groups, but multivariate models in negative mode yielded stable discriminatory features. These results define spatial lipid correlates of vascular amyloid pathology in the human brain and establish a multimodal framework for mechanistically linking lipid metabolism, vascular integrity, and CAA in AD.

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Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-03-17
DOI
https://doi.org/10.64898/2026.03.13.711741
Primary Topic
Alzheimer's disease research and treatments
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article
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article

Multimodal Molecular Mapping of the Vasculature in Human Cortex Reveals Lipid Markers of Cerebral Amyloid Angiopathy

Felipe Moser, Madeline E. Colley, Martin Dufresne, Claire F. Scott et al.
bioRxiv (Cold Spring Harbor Laboratory)
Alzheimer's disease research and treatments
article

Multimodal Molecular Mapping of the Vasculature in Human Cortex Reveals Lipid Markers of Cerebral Amyloid Angiopathy

Felipe Moser, Madeline E. Colley, Martin Dufresne, Claire F. Scott, Jeffrey M. Spraggins, Matthew Schrag, Cody R. Marshall, Raf Van de Plas, Lukasz G. Migas, Lissa Ventura-Antunes, Leonore E.M. Tideman, Wilber Romero-Fernandez
article en

Abstract

Cerebral amyloid angiopathy (CAA) commonly co-occurs with Alzheimer's disease (AD), yet the molecular changes that accompany vascular β-amyloid deposition in human tissue remain incompletely defined. Herein, we use a novel imaging approach that combines matrix-assisted laser desorption/ionization imaging mass spectrometry (IMS) with immunofluorescence microscopy on the same sections of postmortem human frontal cortex to map the lipid microenvironment of leptomeningeal vasculature in cases with and without CAA. Autofluorescence-guided regions-of-interest were imaged by IMS in both negative and positive ion modes and registered to post-IMS-acquired microscopy images. Immunofluorescence microscopy using collagen IV, α-smooth muscle actin (αSMA), and thiazine red enabled automated segmentation of total, amyloidpositive, and amyloid-negative vasculature regions. A CAA index, the ratio of amyloid-positive area to total vasculature area in a region imaged by IMS, was used to define vasculature and classify each case into having CAA, or CAA-present and not having CAA, or CAA-absent. An interpretable machine learning approach (XGBoost models with Shapley additive explanations for interpretation) was trained on pixel-level spectra and identified lipid signatures of vascular identity shared across groups as well as class-specific marker candidates that distinguished CAA-present from CAA-absent vasculature. CAA-present vessels were enriched for gangliosides ( <i>e.g.</i> , GM1), whereas CAA-absent vessels were characterized by higher contributions from phosphatidylserines ( <i>e.g.</i> , long-chain polyunsaturated PS species). Univariate differences were inconsistent between the two groups, but multivariate models in negative mode yielded stable discriminatory features. These results define spatial lipid correlates of vascular amyloid pathology in the human brain and establish a multimodal framework for mechanistically linking lipid metabolism, vascular integrity, and CAA in AD.

bioRxiv (Cold Spring Harbor Laboratory)
Vanderbilt University (US), Vanderbilt Health (US), Vanderbilt University Medical Center (US), Delft University of Technology (NL)
Reduced inequalities
Openalex Percentile: Top 18%
Alzheimer's disease research and treatments
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