Benchmarking the AI‐based diagnostic potential of plasma proteomics for neurodegenerative disease in 17,710 people
Our results demonstrate that ∼200 key proteins in blood can differentiate major forms of dementia at the patient-level. ProtAIDe's probabilistic information highlights its potential for identifying co-pathologies and determining proteins driving symptoms at the individual-level.
Authors
- Lijun An (ORCID: https://orcid.org/0000-0003-1030-4625)
- Shinya Tasaki (ORCID: https://orcid.org/0000-0003-3656-7394)
- Rik Ossenkoppele (ORCID: https://orcid.org/0000-0003-1584-7477)
- Erik Stomrud (ORCID: https://orcid.org/0000-0002-0841-5580)
- Inès Hristovska (ORCID: https://orcid.org/0000-0003-4779-4103)
- Farhad Imam (ORCID: https://orcid.org/0000-0003-2854-2568)
- Yu Xiao (ORCID: https://orcid.org/0000-0002-7519-8248)
- Bart Smets (ORCID: https://orcid.org/0000-0001-8480-0782)
- Oskar H. Hansson
- Ying Xu (ORCID: https://orcid.org/0009-0006-0387-2439)
- Alexa Pichet Binette
- Niklas Mattsson‐Carlgren
- Sebastian Palmqvist
- Shorena Janelidze
- Jacob W. Vogel
- Varsha Krish
Institutions
- Gates (United States) (US)
- Rush University Medical Center (US)
- Johnson & Johnson (United States) (US)
- Janssen (Belgium) (BE)
- Malmö University (SE)
- Lund University (SE)
- Washington University in St. Louis (US)
- Science for Life Laboratory (SE)
- Amsterdam Neuroscience (NL)
- Institut Universitaire de Gériatrie de Montréal (CA)
- Skåne University Hospital (SE)
- Amsterdam University Medical Centers (NL)
- Université de Montréal (CA)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_099373
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00