👤 Takeshi Iwatsubo

Plasma phosphorylated tau 217 (p-tau217) has shown strong potential as a blood-based biomarker for detecting amyloid pathology in Alzheimer's disease. This study evaluated the diagnostic and prognostic utility of plasma biomarkers, including p-tau217, in participants from the Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI) cohort. We analyzed paired plasma and CSF samples from 172 J-ADNI participants. CSF and plasma biomarkers were quantified using the LUMIPULSE platform, and the same plasma samples were analyzed using the Simoa platform. The diagnostic accuracy for detecting amyloid pathology and the prognostic value of plasma p-tau217 biomarkers were assessed. Associations between plasma p-tau217 and polygenic risk scores (PRS), as well as potential confounding factors, were examined. Plasma p-tau217 levels measured using Lumipulse and Simoa assays were highly correlated (p < 0.001). All plasma p-tau217 assays showed high diagnostic accuracy for CSF Aβ42/Aβ40-defined amyloid pathology (AUC = 0.98). A single cutoff point based on the Youden index for p-tau217 and p-tau217/Aβ42 achieved >90% specificity and >90% sensitivity. The predefined FDA-approved two-cutoff model for p-tau217/Aβ42 was applicable to this cohort. PRS was significantly associated with plasma p-tau217 independently of APOE genotypes. Subjects with higher plasma p-tau217 levels showed a significantly increased risk of conversion to dementia and larger longitudinal cognitive declines. Plasma p-tau217 levels were significantly influenced by the body mass index, estimated glomerular filtration rate, and high-density lipoprotein cholesterol. Plasma p-tau217 and p-tau217/Aβ42 are robust biomarkers for AD diagnosis and prognosis in the Japanese population. Show less

To quantify the Number Needed to Test (NNT) to prevent one ARIA event as a function of A Bayesian simulation study using a Beta-Binomial model to analyze genotype-stratified contingency tables. Data were derived from two published, phase 3 clinical trials: Clarity-AD (lecanemab) and TRAILBLAZER-ALZ 2 (donanemab). Aggregate data from source trials. Simulation of varying treatment discontinuation probability NNT to prevent one ARIA event (any ARIA-E, any ARIA-H, and symptomatic ARIA-E) and the fractional reduction in total ARIA events as a function of NNTs increased (worsened) significantly as The direct safety impact of Show less

Sporadic late-onset Alzheimer's disease (AD) is characterized by a long pre-clinical phase where amyloid-beta (Aβ) and tau begin to accumulate in the brain. The primary objective was to determine the age at which AD starts by finding the average population age when both positron emission tomography (PET) Aβ (Aβ-PET) and plasma Aβ42/40 become abnormal. Two high performance immunoprecipitation-mass spectrometry (IP-MS) assays (WashU/C2N and Shimadzu) were tested on samples from 1,450 participants who were diagnosed as cognitively unimpaired (CU), mild cognitive impairment (MCI), or AD-dementia across 4 international cohorts. Natural history modeling and trajectory analyses of the combined Aβ-PET and plasma Aβ42/40 data were analyzed. Data from both assays demonstrated Aβ42/40 undergoes a rapid change at approximately 15 Centiloid (CL), at an average population disease age at 66 years. On average, plasma Aβ42/40 becomes abnormal approximately 2 years before Aβ-PET, whereby it falls sharply to a stable level at the onset of preclinical AD. Average disease age where Aβ42/40 becomes abnormal, and the corresponding Centiloid level are lower for APOE allele carriers compared with non-carriers. Plasma Aβ42/40 ratio presents a step-like function of peripheral change shortly before the detection of plaques by Aβ-PET. Results are consistent with plasma Aβ42/40 falling to a steady-state level in participants with Aβ-PET levels greater than approximately 14CL for both assays. The age at which this occurs is dependent on APOE ε4 carriership, consistent with the approximate 7-year age difference in Centiloid abnormality between carriers and non-carriers. ANN NEUROL 2026;99:1327-1342. Show less