bioRxivNeurosciencePreprint
Chemical imaging signatures delineate heterogeneous amyloid plaque populations across the Alzheimers disease spectrum
Srinivas KoutarapuiD, Junyue GeiD, Maciej DulewicziD, Meera SrikrishnaiD, Alicja SzadziewskaiD, Jack I. WoodiD, Kaj BlennowiD, Henrik ZetterbergiD, Wojciech MichnoiD, Natalie Sarah RyaniD, Tammaryn LashleyiD, Jeffrey N. SavasiD, Michael SchölliD, Jörg HanriederiD
Abstract
Amyloid plaque deposition is recognized as the primary pathological hallmark of Alzheimers disease(AD) that precedes other pathological events and cognitive symptoms. Plaque pathology represents itself with an immense polymorphic variety comprising plaques with different stages of amyloid fibrillization ranging from diffuse to fibrillar, mature plaques. The association of polymorphic A{beta} plaque pathology with AD pathogenesis, clinical symptoms and disease progression remains unclear. Advanced chemical imaging tools, such as functional amyloid microscopy combined with MALDI mass spectrometry imaging (MSI), are now enhanced by deep learning algorithms. This integration allows for precise delineation of polymorphic plaque structures and detailed identification of their associated A{beta} compositions. We here set out to make use of these tools to interrogate heterogenic plaque types and their associated biochemical architecture. Our findings reveal distinct A{beta} signatures that differentiate diffuse plaques from fibrilized ones, with the latter showing substantially higher levels of A{beta}x-40. Notably, within the fibrilized category, we identified a distinct subtype known as coarse-grain plaques. Both in sAD and fAD brain tissue, coarse grain plaques contained more A{beta}x-40 and less A{beta}x-42 compared with cored plaques. The coarse grain plaques in both sAD and fAD also showed higher levels of neuritic content including paired helical filaments (PHF-1)/phosphorylated phospho Tau-immunopositive neurites. Finally, the A{beta} peptide content in coarse grain plaques resembled that of vascular A{beta} deposits (CAA) though with relatively higher levels of A{beta}1-42 and pyroglutamated A{beta}x-40 and A{beta}x-42 species in coarse grain plaques. This is the first of its kind study on spatial in situ biochemical characterization of different plaque morphotypes demonstrating the potential of the correlative imaging techniques used that further increase the understanding of heterogeneous AD pathology. Linking the biochemical characteristics of amyloid plaque polymorphisms with various AD etiologies and toxicity mechanisms is crucial. Understanding the connection between plaque structure and disease pathogenesis can enhance our insights. This knowledge is particularly valuable for developing and advancing novel, amyloid-targeting therapeutics.
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- approach: deep learning
- Citations
- 5
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Exploring the Abeta Plaque Microenvironment in Alzheimer's Disease Mice by Multimodal Lipid-Protein-Histology Imaging on a Benchtop Mass Spectrometer
Elisabeth Müller, Thomas Enzlein, … Carsten Hopf·bioRxiv·Dec 4, 2024
- Machine Learning Classification of Alzheimer's Disease Pathology Reveals Diffuse Amyloid as a Major Predictor of Cognitive Impairment in Human Hippocampal Subregions
Terri‐Leigh Stephen, Laura Korobkova, … Michael S. Bienkowski·bioRxiv·May 31, 2023
- Isomerized Aβ in the brain can distinguish the status of amyloidosis in the Alzheimer's Disease spectrum
Soumya Mukherjee, Reid A. Coyle, … Blaine Russell Roberts·Acta NeuropathologicaPeer-reviewed·Jul 22, 2025
- Divergent age-dependent conformational rearrangement within Aβ-amyloid deposits in APP23, APPPS1, and AppNL-F mice
Farjana Parvin, Samuel Haglund, … Per Hammarström·ACS Chemical NeurosciencePeer-reviewed·Apr 23, 2024
- Isotope Encoded Chemical Imaging Identifies Amyloid Plaque Age Dependent Structural Maturation, Synaptic Loss, and Increased Toxicity
Jack I. Wood, Maciej Dulewicz, … Jörg Hanrieder·bioRxiv·Oct 8, 2024
- Decoding Amyloid Plaque Penetrability: Exploring Extracellular Space and Rheology2in Plaque-rich Cortex
Juan Estaún‐Panzano, Yulia Dembitskaya, … Erwan Bézard·bioRxiv·Aug 24, 2025