Optimizing Lumipulse plasma pTau217/Aβ42 ratio cutpoints in an Asian cohort with high cerebrovascular disease burden
The generalizability of FDA-cleared Lumipulse plasma pTau217 / Aβ42 ratio cutpoints to Asian populations remains uncertain, especially in those with high burden of concomitant cerebrovascular disease (CeVD). We evaluated pTau217, Aβ42 and their ratio in 205 Singapore-based participants with corresponding amyloid neuroimaging. In-house cutpoints were derived using a three-range strategy targeting 95% sensitivity and specificity. Plasma pTau217/Aβ42 ratio outperformed pTau217 alone (area under the curve, 0.951 versus 0.925; p=0.004), with comparable performance across CeVD severities. Plasma ratio cutpoints achieved 98% negative predictive value, 88% positive predictive value, and 95% accuracy, classifying 10% as intermediate-risk. Using FDA-cleared cutpoints for our cohort retained 97% sensitivity and negative predictive value but yielded lower specificity (86%), positive predictive value (77%) and accuracy (85%), with 29% classified as intermediate-risk. Our findings support the need for population-specific validation of cutpoints from FDA-cleared blood biomarkers of brain amyloid pathology.
Authors
- Gandan Jiang (ORCID: https://orcid.org/0009-0001-6608-2841)
- Amitabh Dash (ORCID: https://orcid.org/0000-0002-9351-4021)
- Chizuru Kobayashi (ORCID: https://orcid.org/0009-0009-5655-8111)
- Ting Yu Amelia Yam (ORCID: https://orcid.org/0009-0003-2117-3859)
- Mitchell K.P. Lai (ORCID: https://orcid.org/0000-0001-7685-1424)
- An Qi Toh (ORCID: https://orcid.org/0009-0008-9519-3867)
- Temmei Ito (ORCID: https://orcid.org/0000-0001-5834-594X)
- Pallavi Sachdev
- Joyce R. Chong (ORCID: https://orcid.org/0000-0002-2869-0096)
- Christopher P. Chen
Institutions
- University of Wisconsin–Madison (US)
- National University of Singapore (SG)
- Eisai (United States) (US)
- Eisai (Japan) (JP)
Publication Details
- Journal
- medRxiv
- Published
- 2026-11-06
- DOI
- https://doi.org/10.64898/2026.11.04.26367313
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- preprint
Funders
- Eisai
- National Medical Research Council