Evidence map›Paper›PMID 39863333›Full record

Observational studyThe journal of prevention of Alzheimer's disease2025

Core blood biomarkers of Alzheimer's disease: A single-center real-world performance study.

Federico Emanuele Pozzi, Elisa Conti, Giulia Remoli, Niccolò dell'Orto, Simona Andreoni, Fulvio Da Re, Gessica Sala, Luca Cuffaro, Carlo Ferrarese, Ildebrando Appollonio and 2 more

Abstract readObservational Study
In one paragraph

Observational study in The journal of prevention of Alzheimer's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. A modelling approach to derive population-specific cutoff for plasma p-Tau217.The journal of prevention of Alzheimer's disease · 2025
    Article
  4. 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

12 authors.

Federico Emanuele PozziNeurology, Fondazione IRCCS "San Gerardo dei Tintori", Monza, Italy; Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Elisa ContiMilan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Giulia RemoliNeurology, Fondazione IRCCS "San Gerardo dei Tintori", Monza, Italy; Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Niccolò dell'OrtoNeurology, Fondazione IRCCS "San Gerardo dei Tintori", Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Simona AndreoniMilan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Fulvio Da ReNeurology, Fondazione IRCCS "San Gerardo dei Tintori", Monza, Italy; Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy.
Gessica SalaMilan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Luca CuffaroNeurology, Fondazione IRCCS "San Gerardo dei Tintori", Monza, Italy; Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Carlo FerrareseNeurology, Fondazione IRCCS "San Gerardo dei Tintori", Monza, Italy; Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Ildebrando AppollonioNeurology, Fondazione IRCCS "San Gerardo dei Tintori", Monza, Italy; Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Chiara Paola ZoiaMilan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Lucio TremolizzoNeurology, Fondazione IRCCS "San Gerardo dei Tintori", Monza, Italy; Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy; Laboratory of Neurobiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy. Electronic address: lucio.tremolizzo@unimib.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe new criteria for Alzheimer's disease pave the way for the introduction of core blood biomarkers of Alzheimer's disease (BBAD) into clinical practice. However, this depends on the demonstration of sufficient accuracy and robustness of BBADs in the intended population.

objectivesTo assess the diagnostic performance of core BBADs in our memory clinic, comparing them with cerebrospinal fluid (CSF) analysis.

designReal-world cross-sectional observational study.

settingMemory Clinic of Fondazione IRCCS "San Gerardo dei Tintori," Monza, Italy.

participantsn = 102 consecutive outpatients (mean age: 71.0 ± 7.6 years) with cognitive impairment undergoing routine lumbar puncture. MEASUREMENTS: CSF Aβ40, Aβ42, tTau, and pTau181 levels were measured. Plasma biomarkers were evaluated using Lumipulse® G600II. Logistic regression and Receiver Operating Characteristic (ROC) analysis were used to assess biomarker performance. The diagnosis of Alzheimer's disease was based on CSF Aβ42/40 ratio.

resultsPlasma pTau217 demonstrated the highest diagnostic accuracy (AUC=0.91), followed by pTau181 (AUC=0.88) and Aβ42/40 (AUC=0.83). In robustness analyses, only pTau217 and pTau181 performance remained consistent, while that of Aβ42/40 ratio declined with added random variability. pTau217 significantly outperformed other BBAD, with the exception of pTau181. pTau BBAD were significant predictors of baseline Mini-Mental State Examination scores.

conclusionsPlasma pTau217, measured with Lumipulse®, is a robust and reliable BBAD for detecting amyloid pathology in a memory clinic setting, offering a practical and less invasive alternative to traditional CSF testing.

Indexed as

Alzheimer DiseaseAmyloid beta-Peptidestau ProteinsAgedAged, 80 and overBiomarkersCognitive DysfunctionCross-Sectional StudiesFemaleHumansMaleMiddle AgedPeptide FragmentsAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersPeptide Fragmentstau ProteinsAlzheimer's diseaseAmyloidBBADDementiaPlasma biomarkersTau

Identifiers

PMID39863333
PMCPMC12183927

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Registered trials

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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.