Evidence map›Paper›PMID 38454502›Full record

ArticleAlzheimer's research & therapy2024

Exploring the potential of fully automated LUMIPULSE G plasma assays for detecting Alzheimer's disease pathology.

Anuschka Silva-Spínola, Maria João Leitão, Alicia Nadal, Nathalie Le Bastard, Isabel Santana, Inês Baldeiras

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. [Progress on prognostic assessment methods for mild cognitive impairment].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
    Review
  3. Article
  4. Article
  5. Observational
  6. Observational
  7. Article
  8. Analytical and clinical performance of eight SimoaAlzheimer's research & therapy · 2024
    Article
  9. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Anuschka Silva-SpínolaFaculty of Medicine, University of Coimbra, Coimbra, Portugal. aspinola@student.fmed.uc.pt.
Maria João LeitãoCenter for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal.
Alicia NadalFujirebio Iberia, S.L., Barcelona, Spain.
Nathalie Le BastardFujirebio Europe N.V., Ghent, Belgium.
Isabel SantanaFaculty of Medicine, University of Coimbra, Coimbra, Portugal.
Inês BaldeirasFaculty of Medicine, University of Coimbra, Coimbra, Portugal.

Funding

Fundação para a Ciência e a Tecnologia DFA/BD/6393/2020Fundação para a Ciência e a Tecnologia UIDB/04539/2020: CIBBFundação para a Ciência e a Tecnologia, Portugal EXPL/MEC-NEU/0192/2021
6 · The paper itself

Abstract

backgroundLUMIPULSE G-automated immunoassays represent a widely used method for the quantification of Alzheimer's disease (AD) biomarkers in the cerebrospinal fluid (CSF). Less invasive blood-based markers confer a promising tool for AD diagnosis at prodromal stages (mild cognitive impairment (MCI)). Highly sensitive assays for the quantification of amyloid-beta (Aβ) and phosphorylated Tau-181 (p-Tau181) in the blood are showing promising results. In this study, we evaluated the clinical performance of the recently available fully automated LUMIPULSE plasma marker assays for detecting brain AD pathology and for predicting progression from MCI to AD dementia stage.

methodsA retrospective exploratory cohort of 138 individuals (22 neurological controls [NC], 72 MCI, and 44 AD dementia patients) was included. Data regarding baseline CSF concentrations of Aβ42, Aβ40, t-Tau, and p-Tau181 was available and used to establish the presence of AD brain pathology. Baseline Aβ42, Aβ40, and p-Tau181 concentrations were determined in stored plasma samples using high-throughput fully automated LUMIPULSE assays. Progression from MCI to AD dementia was evaluated during follow-up (mean 6.4 ± 2.5 years). Moreover, a prospective validation cohort of 72 individuals with memory complaints underwent AD biomarker quantification, closely mirroring typical clinical practice. This cohort aimed to confirm the study's main findings.

resultsIn the exploratory cohort, correlations between CSF and plasma were moderate for p-Tau181 (ρ = 0.61, p < 0.001) and weak for Aβ42/Aβ40 ratio (ρ = 0.39, p < 0.001). Plasma p-Tau181 and p-Tau181/Aβ42 concentrations were significantly increased while Aβ42/Aβ40 was significantly decreased (p < 0.001) in patients with AD dementia and prodromal AD, as well as in individuals with CSF abnormal amyloid concentrations (A +). Plasma p-Tau181 showed a robust performance in differentiating patients clinically diagnosed as AD (AUC = 0.89; 95% CI 0.83-0.94); A + vs. A - (AUC = 0.84, 95% CI 0.77-0.91) and also in predicting conversion to AD dementia in MCI patients (AUC = 0.89, 95% CI 0.81-0.96). When tested in the validation cohort, plasma p-Tau181 displayed 83.3% of the overall percentage of agreement according to amyloid status.

conclusionsOur results show that the measurement of p-Tau181 in plasma has great potential as a non-invasive prognostic screening tool for implementation in a clinical setting.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesBiomarkersHumansRetrospective Studiestau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseaseAutomatedEarly detectionPlasma biomarkers

Identifiers

PMID38454502
PMCPMC10918996

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.