Artificial intelligence and omics-based autoantibody profiling in dementia
The study demonstrates the potential of PWAbS and artificial intelligence integration as a noninvasive diagnostic tool for dementia, uncovering biomarkers that could enhance understanding of disease mechanisms. Limitations include demographic differences, small sample size, and lack of external validation. Future research should involve longitudinal observation in larger, diverse cohorts and functional studies to clarify autoantibodies' roles in dementia pathogenesis and their diagnostic and therapeutic potential.
Authors
- Ayumi Yoshizaki (ORCID: https://orcid.org/0000-0002-8194-9140)
- Mitsutaka Yakabe (ORCID: https://orcid.org/0000-0002-5460-3910)
- Kazuki Matsuda
- Shinichi Sato (ORCID: https://orcid.org/0000-0002-8563-1658)
- Sumito Ogawa (ORCID: https://orcid.org/0000-0002-5935-276X)
- Masashi Miyawaki
- Yumi Umeda‐Kameyama (ORCID: https://orcid.org/0000-0003-4353-3424)
- Masahiro Akishita (ORCID: https://orcid.org/0000-0001-5498-7224)
- Kazuhiro Iwadoh (ORCID: https://orcid.org/0000-0001-5000-5203)
- Masaki Ishii (ORCID: https://orcid.org/0000-0003-0687-3147)
Institutions
- Tokyo Metropolitan Institute of Gerontology (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-05-08
- DOI
- https://doi.org/10.3389/fimmu.2025.1537659
- Citations
- 3
- Primary Topic
- Neuroinflammation and Neurodegeneration Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 1.68
Funders
- Japan Society for the Promotion of Science