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. 2024 Jan 1;81(1):69-78.
doi: 10.1001/jamaneurol.2023.4596.

Plasma Biomarker Strategy for Selecting Patients With Alzheimer Disease for Antiamyloid Immunotherapies

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Plasma Biomarker Strategy for Selecting Patients With Alzheimer Disease for Antiamyloid Immunotherapies

Niklas Mattsson-Carlgren et al. JAMA Neurol. .

Erratum in

  • Error in Key for Figure 3.
    [No authors listed] [No authors listed] JAMA Neurol. 2024 Jan 1;81(1):88. doi: 10.1001/jamaneurol.2023.5450. JAMA Neurol. 2024. PMID: 38189821 Free PMC article. No abstract available.
  • Error in Open Access Status.
    [No authors listed] [No authors listed] JAMA Neurol. 2024 Feb 12;81(4):424-5. doi: 10.1001/jamaneurol.2024.0033. Online ahead of print. JAMA Neurol. 2024. PMID: 38345800 Free PMC article. No abstract available.

Abstract

Importance: Antiamyloid immunotherapies against Alzheimer disease (AD) are emerging. Scalable, cost-effective tools will be needed to identify amyloid β (Aβ)-positive patients without an advanced stage of tau pathology who are most likely to benefit from these therapies. Blood-based biomarkers might reduce the need to use cerebrospinal fluid (CSF) or positron emission tomography (PET) for this.

Objective: To evaluate plasma biomarkers for identifying Aβ positivity and stage of tau accumulation.

Design, setting, and participants: The cohort study (BioFINDER-2) was a prospective memory-clinic and population-based study. Participants with cognitive concerns were recruited from 2017 to 2022 and divided into a training set (80% of the data) and test set (20%).

Exposure: Baseline values for plasma phosphorylated tau 181 (p-tau181), p-tau217, p-tau231, N-terminal tau, glial fibrillary acidic protein, and neurofilament light chain.

Main outcomes and measures: Performance to classify participants by Aβ status (defined by Aβ-PET or CSF Aβ42/40) and tau status (tau PET). Number of hypothetically saved PET scans in a plasma biomarker-guided workflow.

Results: Of a total 912 participants, there were 499 males (54.7%) and 413 females (45.3%), and the mean (SD) age was 71.1 (8.49) years. Among the biomarkers, plasma p-tau217 was most strongly associated with Aβ positivity (test-set area under the receiver operating characteristic curve [AUC] = 0.94; 95% CI, 0.90-0.97). A 2-cut-point procedure was evaluated, where only participants with ambiguous plasma p-tau217 values (17.1% of the participants in the test set) underwent CSF or PET to assign definitive Aβ status. This procedure had an overall sensitivity of 0.94 (95% CI, 0.90-0.98) and a specificity of 0.86 (95% CI, 0.77-0.95). Next, plasma biomarkers were used to differentiate low-intermediate vs high tau-PET load among Aβ-positive participants. Plasma p-tau217 again performed best, with the test AUC = 0.92 (95% CI, 0.86-0.97), without significant improvement when adding any of the other plasma biomarkers. At a false-negative rate less than 10%, the use of plasma p-tau217 could avoid 56.9% of tau-PET scans needed to identify high tau PET among Aβ-positive participants. The results were validated in an independent cohort (n = 118).

Conclusions and relevance: This study found that algorithms using plasma p-tau217 can accurately identify most Aβ-positive individuals, including those likely to have a high tau load who would require confirmatory tau-PET imaging. Plasma p-tau217 measurements may substantially reduce the number of invasive and costly confirmatory tests required to identify individuals who would likely benefit from antiamyloid therapies.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Collij reported grants from MSCA Postdoctoral Fellowship Project 101108819 during the conduct of the study and research support paid to their institution from GE Healthcare outside the submitted work. Dr Ossenkoppele reported research support from Avid Radiopharmaceuticals, Janssen Research & Development, Roche, Quanterix, and Optina Diagnostics; having given lectures in symposia sponsored by GE Healthcare; and serving as an editorial board member of Alzheimer’s Research & Therapy and the European Journal of Nuclear Medicine and Molecular Imaging. Dr Smith reported speaker fees from Hoffman La Roche outside the submitted work. Dr Palmqvist reported research support (for the institution) from ki:elements and the Alzheimer’s Drug Discovery Foundation and consultancy/speaker fees from Bioartic, Biogen, Lilly, and Roche. Dr Ashton reported giving lectures in symposia sponsored by Quanterix, Eli Lilly, and Biogen. Dr Blennow reported having served as a consultant and on advisory boards for Acumen, ALZPath, BioArctic, Biogen, Eisai, Lilly, Moleac Pte. Ltd, Novartis, Ono Pharma, Prothena, Roche Diagnostics, and Siemens Healthineers; serving on data monitoring committees for Julius Clinical and Novartis; giving lectures, producing educational materials, and participating in educational programs for AC Immune, Biogen, Celdara Medical, Eisai, and Roche Diagnostics; and being a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program, outside the submitted work. Dr Hansson reported research support (for the institution) from ADx, AVID Radiopharmaceuticals, Biogen, Eli Lilly, Eisai, Fujirebio, GE Healthcare, Pfizer, and Roche and consultancy/speaker fees from AC Immune, Amylyx, Alzpath, BioArctic, Biogen, Cerveau, Eisai, Eli Lilly, Fujirebio, Merck, Novartis, Novo Nordisk, Roche, Sanofi, and Siemens outside the submitted work. No other disclosures were reported.

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