Predicting PET‐Based Amyloid and Tau Pathology Stages With Plasma Biomarkers in Alzheimer's disease
Abstract Background We aimed to investigate whether the quantitative analysis of plasma biomarkers could distinguish the pathology stages indicated by positron emission tomography (PET)‐based Thal phase of amyloid and Braak stage of tau. Method A total of 232 participants were enrolled, all of whom underwent 18 F‐florbetaben (FBB), 18 F‐flortaucipir (FTP) PET, plasma p‐tau217/np‐tau217 ratio, p‐tau217, and Aβ 42/40 ratio. To differentiate between image‐based Thal phases and Braak stages, region‐of‐interests (ROIs) were constructed, and cut‐off points were established at each stage using Gaussian mixture modeling. Consequently, FBB PET was classified into Thal phase 0, I‐II, and ≥III groups, while FTP PET was categorized into Braak stage 0, I‐II, III‐IV, and V‐VI. Result The plasma biomarker that most accurately reflected both the PET‐based Thal phase and the PET‐based Braak stage was the p‐tau217/np‐tau217 ratio. P‐tau 217 was superior in reflecting the Braak stage, but inferior to the p‐tau217/np‐tau217 ratio in the Thal phase. The Aβ 42/40 ratio exhibited a difference between Thal phase 0 and I‐II, ≥III, but failed to distinguish between I‐II and ≥III, and did not correlate with the Braak stage. The AUC for predicting Thal phase I‐II and Thal phase ≥III using the p‐tau217/np‐tau217 ratio was 0.965 and 0.848, respectively. The AUC for predicting Braak I‐II, Braak III‐IV, and Braak V‐VI using the p‐tau217/np‐tau217 ratio was 0.864, 0.925, and 0.889, respectively. Conclusion The p‐tau217/np‐tau217 ratio demonstrates a strong correlation with the pathological stages based on amyloid and tau PET and exhibits the ability to predict the pathological stages of Alzheimer's disease through quantitative values, particularly reflecting the earlier stages more accurately.
Authors
- Philip B. Verghese (ORCID: https://orcid.org/0000-0003-4793-564X)
- Jeong Rim Lee (ORCID: https://orcid.org/0000-0002-7425-0462)
- Chul Hyoung Lyoo (ORCID: https://orcid.org/0000-0003-2231-672X)
- Kristopher M. Kirmess (ORCID: https://orcid.org/0000-0002-0306-323X)
- Young Hoon Ryu (ORCID: https://orcid.org/0000-0002-9000-5563)
- Tim West (ORCID: https://orcid.org/0000-0003-3267-8249)
- Joong‐Hyun Chun (ORCID: https://orcid.org/0000-0002-9665-7829)
- Joel B. Braunstein (ORCID: https://orcid.org/0000-0002-1155-0206)
- Han‐Kyeol Kim (ORCID: https://orcid.org/0000-0002-7650-6708)
- Jae Hoon Lee (ORCID: https://orcid.org/0000-0001-9777-5918)
- Hanna Cho (ORCID: https://orcid.org/0000-0001-5936-1546)
- Daniel Connell
Institutions
- Yonsei University (KR)
- Severance Hospital (KR)
- C2N Diagnostics (United States) (US)
- Wonju Severance Christian Hospital (KR)
- Gangnam Severance Hospital (KR)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.090581
- Primary Topic
- Alzheimer's disease research and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00