» Articles » PMID: 38486040

A Blood-based Biomarker Workflow for Optimal Tau-PET Referral in Memory Clinic Settings

Abstract

Blood-based biomarkers for screening may guide tau positrion emissition tomography (PET) scan referrals to optimize prognostic evaluation in Alzheimer's disease. Plasma Aβ42/Aβ40, pTau181, pTau217, pTau231, NfL, and GFAP were measured along with tau-PET in memory clinic patients with subjective cognitive decline, mild cognitive impairment or dementia, in the Swedish BioFINDER-2 study (n = 548) and in the TRIAD study (n = 179). For each plasma biomarker, cutoffs were determined for 90%, 95%, or 97.5% sensitivity to detect tau-PET-positivity. We calculated the percentage of patients below the cutoffs (who would not undergo tau-PET; "saved scans") and the tau-PET-positivity rate among participants above the cutoffs (who would undergo tau-PET; "positive predictive value"). Generally, plasma pTau217 performed best. At the 95% sensitivity cutoff in both cohorts, pTau217 resulted in avoiding nearly half tau-PET scans, with a tau-PET-positivity rate among those who would be referred for a scan around 70%. And although tau-PET was strongly associated with subsequent cognitive decline, in BioFINDER-2 it predicted cognitive decline only among individuals above the referral cutoff on plasma pTau217, supporting that this workflow could reduce prognostically uninformative tau-PET scans. In conclusion, plasma pTau217 may guide selection of patients for tau-PET, when accurate prognostic information is of clinical value.

Citing Articles

Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data.

Karlsson L, Vogel J, Arvidsson I, Astrom K, Strandberg O, Seidlitz J Alzheimers Dement. 2025; 21(2):e14600.

PMID: 39985487 PMC: 11846480. DOI: 10.1002/alz.14600.


Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability.

Therriault J, Janelidze S, Benedet A, Ashton N, Arranz Martinez J, Gonzalez-Escalante A Nat Aging. 2024; 4(11):1529-1537.

PMID: 39533113 PMC: 11564087. DOI: 10.1038/s43587-024-00731-y.


Prediction of future cognitive decline among cognitively unimpaired individuals using measures of soluble phosphorylated tau or tau tangle pathology.

Ossenkoppele R, Salvado G, Janelidze S, Binette A, Bali D, Karlsson L medRxiv. 2024; .

PMID: 38947004 PMC: 11213114. DOI: 10.1101/2024.06.12.24308824.

References
1.
Janelidze S, Teunissen C, Zetterberg H, Allue J, Sarasa L, Eichenlaub U . Head-to-Head Comparison of 8 Plasma Amyloid-β 42/40 Assays in Alzheimer Disease. JAMA Neurol. 2021; 78(11):1375-1382. PMC: 8453354. DOI: 10.1001/jamaneurol.2021.3180. View

2.
Chicco D, Warrens M, Jurman G . The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. PeerJ Comput Sci. 2021; 7:e623. PMC: 8279135. DOI: 10.7717/peerj-cs.623. View

3.
Pereira J, Janelidze S, Smith R, Mattsson-Carlgren N, Palmqvist S, Teunissen C . Plasma GFAP is an early marker of amyloid-β but not tau pathology in Alzheimer's disease. Brain. 2021; 144(11):3505-3516. PMC: 8677538. DOI: 10.1093/brain/awab223. View

4.
Langford O, Raman R, Sperling R, Cummings J, Sun C, Jimenez-Maggiora G . Predicting Amyloid Burden to Accelerate Recruitment of Secondary Prevention Clinical Trials. J Prev Alzheimers Dis. 2020; 7(4):213-218. PMC: 7745538. DOI: 10.14283/jpad.2020.44. View

5.
Karikari T, Ashton N, Brinkmalm G, Brum W, Benedet A, Montoliu-Gaya L . Blood phospho-tau in Alzheimer disease: analysis, interpretation, and clinical utility. Nat Rev Neurol. 2022; 18(7):400-418. DOI: 10.1038/s41582-022-00665-2. View