Untangling Alzheimer's disease with spatial multi-omics: a brief review

Alzheimer's disease (AD) is the most common form of neurological dementia, specified by extracellular β-amyloid plaque deposition, neurofibrillary tangles, and cognitive impairment. AD-associated pathologies like cerebral amyloid angiopathy (CAA) are also affiliated with cognitive impairment an...

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Bibliographic Details
Published in:Frontiers in aging neuroscience 2023-07, Vol.15, p.1150512-1150512
Main Authors: Marshall, Cody R, Farrow, Melissa A, Djambazova, Katerina V, Spraggins, Jeffrey M
Format: Article
Language:English
Subjects:
Alzheimer's disease
Antibodies
Bar codes
Biomarkers
Cerebral amyloid angiopathy
Cognitive ability
Dementia disorders
Experiments
Gene expression
imaging mass spectrometry (IMS)
Mass spectrometry
Microenvironments
Neurodegenerative diseases
Neurofibrillary tangles
Neurological diseases
Neuroscience
Proteins
Proteomics
Scientific imaging
spatial multi-omics
spatial transcriptomics (ST)
β-Amyloid
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Summary:Alzheimer's disease (AD) is the most common form of neurological dementia, specified by extracellular β-amyloid plaque deposition, neurofibrillary tangles, and cognitive impairment. AD-associated pathologies like cerebral amyloid angiopathy (CAA) are also affiliated with cognitive impairment and have overlapping molecular drivers, including amyloid buildup. Discerning the complexity of these neurological disorders remains a significant challenge, and the spatiomolecular relationships between pathogenic features of AD and AD-associated pathologies remain poorly understood. This review highlights recent developments in spatial omics, including profiling and molecular imaging methods, and how they are applied to AD. These emerging technologies aim to characterize the relationship between how specific cell types and tissue features are organized in combination with mapping molecular distributions to provide a systems biology view of the tissue microenvironment around these neuropathologies. As spatial omics methods achieve greater resolution and improved molecular coverage, they are enabling deeper characterization of the molecular drivers of AD, leading to new possibilities for the prediction, diagnosis, and mitigation of this debilitating disease.
ISSN:1663-4365
1663-4365
DOI:10.3389/fnagi.2023.1150512