Accelerating Biomedical Discoveries in Aging and Neurodegeneration Through Transformative Neuropathology

作者：Melissa E. Murray, Colin Smith, Vilas Menon, Catherine M. Keen, Ed S. Lein, Michael Hawrylycz, Adriano Aguzzi, Brett L. Benedetti, Katja Brose, Kelsey Caetano-Anollés, Maria Inmaculada Cobos Sillero, John F. Crary, Phillip L. De Jager, Arline Faustin, Margaret E. Flanagan, Özgün Gökçe, Seth G. N. Grant, Lea T. Grinberg, David A. Gutman, Elizabeth M. C. Hillman, Zhi Chao Huang, David John Irwin, David Thomas Jones, Alifiya Kapasi, Celeste M M. Karch, Walter A. Kukull, Tammaryn Lashley, Edward B. Lee, Thomas Lehner, Laura Parkkinen, Maria Pedersen, Dominique L. Pritchett, Matthew H. Rutledge, Julie A. Schneider, William W. Seeley, Claire E. Shepherd, Tara L. Spires‐Jones, Judith A. J. Steen, Margaret L. Sutherland, Sanja Vicković, Bin Zhang, David J. Stewart, Michael J. Keiser, Jacob W. Vogel, Brittany N. Dugger, Hemali P. Phatnani · 发表于：Preprints.org · 年份：2025 · DOI：10.20944/preprints202503.0628.v1 · 被引用次数：1 · 研究领域：Biomedical and Engineering Education、Science, Research, and Medicine、Health and Medical Research Impacts

Transformative neuropathology is redefining human brain research by integrating foundational descriptive pathology with advanced methodologies to drive discoveries that inform diagnostics, therapeutics, and disease prevention. These approaches, spanning multi-omics studies and machine learning applications, enable the identification of biomarkers, therapeutic targets, and complex disease patterns through comprehensive analyses of postmortem human brain tissue. Yet critical challenges, including sustainability of brain banks, expanding donor participation, strengthening training pipelines, enabling rapid autopsies, and supporting collaborative platforms. Innovations in digital pathology, tissue quality enhancement, harmonized data standards, and machine learning integration offer groundbreaking opportunities to accelerate research in aging and neurodegeneration. Lessons from neuroimaging, regarding progress in establishing common data frameworks and multi-site collaborations, offer a valuable roadmap for streamlining innovations. In this Perspective, we outline actionable solutions to leverage existing resources, envision future opportunities, and advance collaboration to drive translational discoveries and safeguard the sustainability of brain banks underpinning transformative neuropathology.