Evidence map›Paper›PMID 40254499›Full record

ArticleThe journal of prevention of Alzheimer's disease2025

A six-year risk assessment for dementia and Alzheimer's disease in the general population through immunoprecipitation-mass spectrometry plasma amyloid quantification.

Germain U Busto, Christophe Hirtz, Isabelle Carriere, Karim Bennys, Laure-Anne Gutierrez, Jana Kindermans, Catherine Helmer, Audrey Gabelle, Sylvain Lehmann, Claudine Berr

Abstract read
In one paragraph

Article 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 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Germain U BustoINM, University of Montpellier, INSERM, 80 Av. Augustin Fliche, 34000, Montpellier, France; Memory Resource and Research Center, Department of Neurology, University of Montpellier Hospital, 80 avenue Augustin Fliche, 34295, Montpellier, France.
Christophe HirtzINM, University of Montpellier, INSERM, 80 Av. Augustin Fliche, 34000, Montpellier, France; University of Montpellier, IRMB, CHU Montpellier, 80 avenue Augustin Fliche, 34295, Montpellier, France.
Isabelle CarriereINM, University of Montpellier, INSERM, 80 Av. Augustin Fliche, 34000, Montpellier, France.
Karim BennysINM, University of Montpellier, INSERM, 80 Av. Augustin Fliche, 34000, Montpellier, France; Memory Resource and Research Center, Department of Neurology, University of Montpellier Hospital, 80 avenue Augustin Fliche, 34295, Montpellier, France.
Laure-Anne GutierrezINM, University of Montpellier, INSERM, 80 Av. Augustin Fliche, 34000, Montpellier, France.
Jana KindermansUniversity of Montpellier, IRMB, CHU Montpellier, 80 avenue Augustin Fliche, 34295, Montpellier, France.
Catherine HelmerUniversity of Bordeaux, INSERM UMR U1219, Bordeaux Population Health (BPH) Research Centre, 146 rue Léo-Saignat. 33076, Bordeaux, France.
Audrey GabelleINM, University of Montpellier, INSERM, 80 Av. Augustin Fliche, 34000, Montpellier, France; Memory Resource and Research Center, Department of Neurology, University of Montpellier Hospital, 80 avenue Augustin Fliche, 34295, Montpellier, France.
Sylvain LehmannINM, University of Montpellier, INSERM, 80 Av. Augustin Fliche, 34000, Montpellier, France; University of Montpellier, IRMB, CHU Montpellier, 80 avenue Augustin Fliche, 34295, Montpellier, France. Electronic address: sylvain.lehmann@umontpellier.fr.
Claudine BerrINM, University of Montpellier, INSERM, 80 Av. Augustin Fliche, 34000, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying individuals at risk for dementia and Alzheimer's disease (AD) in the general population (GP) is increasingly essential due to new diagnostic criteria and opportunities for effective interventions. Plasma-based biomarkers (pBB) offer a promising approach for detecting positive amyloid profile. However, their effectiveness in predicting clinical dementia and AD risk at the GP level remains largely unexplored.

objectivesTo assess the risk of clinical dementia and AD using pBB amyloid biomarkers in GP using the most up-to-date proteomic techniques.

designCase-cohort study randomly selected from a prospective cohort.

settingThe three-city community-living study.

participantsOver 65 years recruited from the electoral rolls of three French cities. MEASUREMENTS: pBB amyloid levels (Aβ42, Aβ40 and APP669-711) were measured in the plasma using the mass spectrometry-based (IPMS)-Shimadzu modified technology. Patients were monitored for up to 6 years for incident dementia and AD according to DSM-IV and NINCDS/ADRDA criteria. Cox proportional hazard models adjusted for multiple covariables, including age and renal function, were used to estimate hazard ratios.

resultsPlasma samples from 327 participants were analyzed with a mean age 83 years (80-87), 64.8 % females and a median follow-up time of 2.7 years (0.8-4.8) and including 121 incident dementia cases. Our findings indicate that the Aβ42/Aβ40 ratio, along with a composite score that encompasses APP669-711 and Aβ40/Aβ42 ratios, serves as significant predictors of clinical dementia [HR(95 %CI) = 3.52 (1.69-7.32), p-value<0.001 and 4.34 (2.06-9.17), p-value<0.001, respectively] and AD risk over a six-year period, while also accounting for age and sex interactions. Furthermore, elevated Aβ40 levels correlate with an increased risk of developing dementia (HR=2.56, 95 % CI 1.22-5.35, p = 0.01) and AD (HR=2.60, 95 %CI 1.06-6.36, p = 0.04), and our study confirms that Aβ42 concentrations are significantly influenced by renal function.

conclusionsThis research advances the potential application of plasma amyloid biomarkers for assessing the risk of clinical dementia and AD in the general population within short period of time, positioning it as a valuable tool alongside existing plasma PT217 biomarkers or using ratio of both of them.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesDementiaPeptide FragmentsAgedAged, 80 and overBiomarkersCase-Control StudiesFemaleFranceHumansImmunoprecipitationMaleMass SpectrometryProspective StudiesRisk AssessmentAmyloid beta-Peptidesamyloid beta-protein (1-40)BiomarkersPeptide FragmentsAlzheimer’s diseaseAmyloidDementiaPlasmaPopulation-based

Identifiers

PMID40254499
PMCPMC12321636

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.