TY  - JOUR
AU  - Murray, Melissa E
AU  - Smith, Colin
AU  - Menon, Vilas
AU  - Keene, C Dirk
AU  - Lein, Ed
AU  - Hawrylycz, Michael
AU  - Aguzzi, Adriano
AU  - Benedetti, Brett
AU  - Brose, Katja
AU  - Caetano-Anolles, Kelsey
AU  - Sillero, Maria Inmaculada Cobos
AU  - Crary, John F
AU  - De Jager, Philip L
AU  - Faustin, Arline
AU  - Flanagan, Margaret E
AU  - Gokce, Ozgun
AU  - Grant, Seth G N
AU  - Grinberg, Lea T
AU  - Gutman, David A
AU  - Hillman, Elizabeth M C
AU  - Huang, Zhi
AU  - Irwin, David J
AU  - Jones, David T
AU  - Kapasi, Alifiya
AU  - Karch, Celeste M
AU  - Kukull, Walter T
AU  - Lashley, Tammaryn
AU  - Lee, Edward B
AU  - Lehner, Thomas
AU  - Parkkinen, Laura
AU  - Pedersen, Maria
AU  - Pritchett, Dominique
AU  - Rutledge, Matthew H
AU  - Schneider, Julie A
AU  - Seeley, William W
AU  - Shepherd, Claire E
AU  - Spires-Jones, Tara L
AU  - Steen, Judith A
AU  - Sutherland, Margaret
AU  - Vickovic, Sanja
AU  - Zhang, Bin
AU  - Stewart, David J
AU  - Keiser, Michael J
AU  - Vogel, Jacob W
AU  - Dugger, Brittany N
AU  - Phatnani, Hemali
TI  - Accelerating biomedical discoveries in brain health through transformative neuropathology of aging and neurodegeneration.
JO  - Neuron
VL  - 113
IS  - 22
SN  - 0896-6273
CY  - [Cambridge, Mass.]
PB  - Cell Press
M1  - DZNE-2025-01298
SP  - 3703 - 3721
PY  - 2025
AB  - Transformative neuropathology is redefining human brain research by integrating foundational descriptive pathology with advanced methodologies. These approaches, spanning multi-omics studies and machine learning applications, will drive discovery for the identification of biomarkers, therapeutic targets, and complex disease patterns through comprehensive analyses of postmortem human brain tissue. Yet critical challenges remain, including the sustainability of brain banks, expanding donor participation, strengthening training pipelines, enabling rapid autopsies, supporting collaborative platforms, and integrating data across modalities. Innovations in digital pathology, tissue quality enhancement, harmonization of data standards, and machine learning integration offer opportunities to accelerate tissue-level 'pathomics' research in brain health through cross-disciplinary collaborations. Lessons from neuroimaging, particularly in establishing common data frameworks and multi-site collaborations, offer a valuable roadmap for streamlining innovations. In this perspective, we outline actionable solutions for leveraging existing resources and strengthening collaboration -where we envision future opportunities to drive translational discoveries stemming from transformative neuropathology.
KW  - Humans
KW  - Brain: pathology
KW  - Brain: diagnostic imaging
KW  - Aging: pathology
KW  - Neurodegenerative Diseases: pathology
KW  - Neuropathology: methods
KW  - Neuropathology: trends
KW  - Neuroimaging: methods
KW  - Biomedical Research
KW  - biomarkers (Other)
KW  - digital pathology (Other)
KW  - machine learning (Other)
KW  - neuropathology (Other)
KW  - pathomics (Other)
KW  - spatial biology (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:40683248
C2  - pmc:PMC12313173
DO  - DOI:10.1016/j.neuron.2025.06.014
UR  - https://pub.dzne.de/record/282475
ER  -