Evidence map›Paper›PMID 39838411›Full record

ArticleFluids and barriers of the CNS2025

Exploring the ability of plasma pTau217, pTau181 and beta-amyloid in mirroring cerebrospinal fluid biomarker profile of Mild Cognitive Impairment by the fully automated Lumipulse

Marcella Catania, Claudia Battipaglia, Alberto Perego, Erika Salvi, Emanuela Maderna, Federico Angelo Cazzaniga, Paolo M Rossini, Camillo Marra, Nicola Vanacore, Alberto Redolfi and 8 more

Abstract read
In one paragraph

Article in Fluids and barriers of the CNS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Mild cognitive impairment-to-Alzheimer's dementia progression risk: the contribution of the Interceptor project.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Nuclear medicine and molecular imaging · 2025
    Article
  4. A modelling approach to derive population-specific cutoff for plasma p-Tau217.The journal of prevention of Alzheimer's disease · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Marcella CataniaNeurology 5 - Neuropathology Unit, Fondazione IRCCS - Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy. marcella.catania@istituto-besta.it.
Claudia BattipagliaNeurology 5 - Neuropathology Unit, Fondazione IRCCS - Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.
Alberto PeregoFujirebio Italia S.r.l, Via Pontina Km 29, Pomezia, Roma, 00071, Italy.
Erika SalviComputational multi-Omics of Neurological Disorders (MIND) Lab and Data Science Center, Fondazione IRCCS - Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.
Emanuela MadernaNeurology 5 - Neuropathology Unit, Fondazione IRCCS - Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.
Federico Angelo CazzanigaNeurology 5 - Neuropathology Unit, Fondazione IRCCS - Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.
Paolo M RossiniDepartment of Neuroscience & Neurorehabilitation, IRCCS San Raffaele Roma, Via della Pisana 235, Rome, 00163, Italy.
Camillo MarraNeurology Unit, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Largo F. Vito 1, Rome, 00168, Italy.
Nicola VanacoreNational Center for Disease Prevention and Health Promotion, National Institute of Health, Viale Regina Elena 299, Rome, 00161, Italy.
Alberto RedolfiLaboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Via Pilastroni 4, Brescia, 25125, Italy.
Daniela PeraniNuclear Medicine Unit, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, 20132, Italy.
Patrizia SpadinAssociazione Italiana Malattia di Alzheimer - AIMA, Via Varazze 6, Milan, 20149, Italy.
Maria CotelliIRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Via Pilastroni 4, Brescia, 25125, Italy.
Stefano CappaUniversity Institute of Advanced Studies, Piazza della Vittoria 15, Pavia, 27100, Italy.
Naike CaragliaMemory Clinic, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Largo F. Vito 1, Rome, 00168, Italy.
Pietro TiraboschiNeurology 5 - Neuropathology Unit, Fondazione IRCCS - Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.
Fabrizio TagliaviniFondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.
Giuseppe Di FedeNeurology 5 - Neuropathology Unit, Fondazione IRCCS - Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.

Funding

Agenzia Italiana del Farmaco, Ministero della Salute Progetto Strategico AIFA - Interceptor
6 · The paper itself

Abstract

backgroundThe approval of new disease-modifying therapies by the U.S. Food and Drug Administration and the European Medicine Agency makes it necessary to optimize non-invasive and cost-effective tools for the identification of subjects at-risk of developing Alzheimer's Disease (AD). Plasma biomarkers are excellent candidates. However, their ability to reflect the cerebrospinal fluid (CSF) profile - that remains to date the gold standard for the biochemical diagnosis of AD - needs to be confirmed and validated before their implementation in clinical practice. The aims of this study are to analyse the correlation between CSF and plasma Aβ40, Aβ42, Aβ42/Aβ40 and pTau181, and to assess the diagnostic performance of plasma biomarkers in a cohort of subjects affected by Mild Cognitive Impairment (MCI).

methodsThe study was performed on 306 subjects affected by MCI, enrolled in the context of the Italian Interceptor Project. Aβ40, Aβ42 and pTau181 were analysed in plasma and CSF, and pTau217 was measured in plasma. The fully automated chemiluminescence enzyme immunoassay and the Lumipulse

resultsWe found statistically significant positive correlations between CSF and plasma Aβ42, Aβ42/Aβ40 ratio and pTau181. All the biomarkers, except Aβ40, showed differences in A+ vs. A-, A+T+ vs. A-T- and A+T- vs. A-T- patients. Moreover, Aβ42 and Aβ42/Aβ40 plasma levels were lower in A+T- compared to A-T- and A-T+ groups, and pTau181 and pTau217 plasma levels were higher in A+T+ compared to A+T-. Aβ42/Aβ40 and pTau217 showed a robust performance in distinguishing A+ from A- (AUC = 0.857 and 0.862, respectively) and A+T+ from A-T- (AUC = 0.866 and 0.911) subjects.

conclusionsOur results suggest that plasma biomarkers, and especially Aβ42/Aβ40 ratio and pTau217, are promising candidates for the early detection of AD pathology.

Indexed as

Amyloid beta-PeptidesCognitive DysfunctionPeptide Fragmentstau ProteinsAgedAged, 80 and overAlzheimer DiseaseBiomarkersFemaleHumansMaleMiddle AgedAmyloid beta-Peptidesamyloid beta-protein (1-40)amyloid beta-protein (1-42)BiomarkersMAPT protein, humanPeptide Fragmentstau ProteinsAlzheimer’s diseaseAβBiomarkersCSFDiagnosisLumipulse®Mild Cognitive ImpairmentPlasmapTau

Identifiers

PMID39838411
PMCPMC11748262

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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.