Whole‐brain Cellome‐Wide Association Study (CWAS) Unveils Ultra‐Early Neurodegeneration Phenomena in a 3D Spatial Cell Atlas

Abstract Background In aging societies, neurodegenerative diseases, such as Alzheimer's disease, are receiving attention. These diseases are primary targets for preemptive medicine, emphasizing the importance of early detection and preventive treatment before the onset of severe, treatment‐resistant damages. However, there is a lack of comprehensive investigation of lesions and molecular targets in the entire organ, whereas spatial identification of early‐stage lesions is potentially overlooked at the single‐cell level. Method Here, we propose a novel approach, CWAS (whole body/organ cellome‐wide association studies), which integrates and analyzes spatio‐temporal cellular information across the entire mouse organ into a comprehensive organ cell atlas using tissue‐clearing imaging technologies [1,2]. [1] Murakami TC, et al. Nat Neurosci. 2018;21(4):625‐637. [2] Matsumoto K*, Mitani TT*, Horiguchi SA, et al*. (*equal contribution) Nat Protoc. 2019;14(12):3506‐3537. Result In our initial application to neurodegenerative models, we have been able to identify previously unreported neural degenerations at specific times and locations at the single‐cell level. In addition, our time‐series analysis in a mouse model of Alzheimer's disease revealed the possible simultaneous onset of amyloid deposition and neurodegeneration, challenging the traditional amyloid hypothesis. Furthermore, we were able to identify unique multicellular inflammation networks surrounding neurodegenerative lesions in several disease models. Conclusion Our findings establish the concept of "spatial cellomics" realized through spatially precise organ mapping and integrated multiomics analysis at the single‐cell level. This approach shifts pathology, providing deeper insight into disease mechanisms and preventive strategies.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.093774
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Whole‐brain Cellome‐Wide Association Study (CWAS) Unveils Ultra‐Early Neurodegeneration Phenomena in a 3D Spatial Cell Atlas

Hiroki R. Ueda, Rikuhiro G. Yamada, Katsuhiko Matsumoto, Etsuo A. Susaki et al.
Alzheimer s & Dementia
Cell Image Analysis Techniques
article

Whole‐brain Cellome‐Wide Association Study (CWAS) Unveils Ultra‐Early Neurodegeneration Phenomena in a 3D Spatial Cell Atlas

Hiroki R. Ueda, Rikuhiro G. Yamada, Katsuhiko Matsumoto, Etsuo A. Susaki, Kosei Yamaura, Tomoki T. Mitani
article en

Abstract

Abstract Background In aging societies, neurodegenerative diseases, such as Alzheimer's disease, are receiving attention. These diseases are primary targets for preemptive medicine, emphasizing the importance of early detection and preventive treatment before the onset of severe, treatment‐resistant damages. However, there is a lack of comprehensive investigation of lesions and molecular targets in the entire organ, whereas spatial identification of early‐stage lesions is potentially overlooked at the single‐cell level. Method Here, we propose a novel approach, CWAS (whole body/organ cellome‐wide association studies), which integrates and analyzes spatio‐temporal cellular information across the entire mouse organ into a comprehensive organ cell atlas using tissue‐clearing imaging technologies [1,2]. [1] Murakami TC, et al. Nat Neurosci. 2018;21(4):625‐637. [2] Matsumoto K*, Mitani TT*, Horiguchi SA, et al*. (*equal contribution) Nat Protoc. 2019;14(12):3506‐3537. Result In our initial application to neurodegenerative models, we have been able to identify previously unreported neural degenerations at specific times and locations at the single‐cell level. In addition, our time‐series analysis in a mouse model of Alzheimer's disease revealed the possible simultaneous onset of amyloid deposition and neurodegeneration, challenging the traditional amyloid hypothesis. Furthermore, we were able to identify unique multicellular inflammation networks surrounding neurodegenerative lesions in several disease models. Conclusion Our findings establish the concept of "spatial cellomics" realized through spatially precise organ mapping and integrated multiomics analysis at the single‐cell level. This approach shifts pathology, providing deeper insight into disease mechanisms and preventive strategies.

Alzheimer s & DementiaVol. 20(S9)
RIKEN Center for Biosystems Dynamics Research (JP)
Openalex Percentile: Top 84%
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.