Journal Article (Review Article) DZNE-2025-01298

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Accelerating biomedical discoveries in brain health through transformative neuropathology of aging and neurodegeneration.

 ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;

2025
Cell Press [Cambridge, Mass.]

Neuron 113(22), 3703 - 3721 () [10.1016/j.neuron.2025.06.014]

This record in other databases:    

Please use a persistent id in citations: doi:

Abstract: 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.

Keyword(s): Humans (MeSH) ; Brain: pathology (MeSH) ; Brain: diagnostic imaging (MeSH) ; Aging: pathology (MeSH) ; Neurodegenerative Diseases: pathology (MeSH) ; Neuropathology: methods (MeSH) ; Neuropathology: trends (MeSH) ; Neuroimaging: methods (MeSH) ; Biomedical Research (MeSH) ; biomarkers ; digital pathology ; machine learning ; neuropathology ; pathomics ; spatial biology

Classification:

Contributing Institute(s):
  1. Spatial Dynamics of Neurodegeneration (AG Gokce)
Research Program(s):
  1. 351 - Brain Function (POF4-351) (POF4-351)

Database coverage:
Medline ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 15 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Institute Collections > BN DZNE > BN DZNE-AG Gokce
Documents in Process
Public records

 Record created 2025-11-21, last modified 2025-11-21


Restricted:
Download fulltext PDF Download fulltext PDF (PDFA)
External link:
Download fulltextFulltext by Pubmed Central
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)