Evidence map›Paper›PMID 39736793›Full record

ArticleAlzheimer's research & therapy2024

Blood-based biomarkers and plasma Aβ assays in the differential diagnosis of Alzheimer's disease and behavioral-variant frontotemporal dementia.

Pablo Mohaupt, Jana Kindermans, Jérôme Vialaret, Sarah Anderl-Straub, Leonie Werner, Sylvain Lehmann, Christophe Hirtz, Markus Otto, Patrick Oeckl

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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 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

9 authors.

Pablo MohauptLBPC-PPC, Université de Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France.
Jana KindermansLBPC-PPC, Université de Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France.
Jérôme VialaretLBPC-PPC, Université de Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France.
Sarah Anderl-StraubDepartment of Neurology, Ulm University Hospital, 89081, Ulm, Germany.
Leonie WernerDepartment of Neurology, Ulm University Hospital, 89081, Ulm, Germany.
Sylvain LehmannLBPC-PPC, Université de Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France.
Christophe Hirtz *LBPC-PPC, Université de Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France.
Markus Otto *University Clinic and Polyclinic for Neurology, Martin-Luther-University Halle-Wittenberg, 06120, Halle (Saale), Germany.
Patrick Oeckl *Department of Neurology, Ulm University Hospital, 89081, Ulm, Germany. patrick.oeckl@uni-ulm.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe differentiation between Alzheimer's disease (AD) and behavioral-variant frontotemporal dementia (bvFTD) can be complicated in the initial phase by shared symptoms and pathophysiological traits. Nevertheless, advancements in understanding AD's diverse pathobiology suggest the potential for establishing blood-based methods for differential diagnosis.

methodsWe devised a novel assay combining immunoprecipitation and mass spectrometry (IP-MS) to quantify Amyloid-beta (Aβ) peptides in plasma. We then assessed its performance against existing assays (Shimadzu and Simoa) and evaluated a range of other blood-based biomarkers, including GFAP, NfL, and pTau-181, for differentiating between AD and bvFTD.

resultsThe novel IP-MS assay measuring the Aβ42/40 ratio demonstrated an AUC of 0.82 for differentiating AD from control subjects. While it did not significantly outperform the composite biomarker score from the Shimadzu assay (AUC = 0.79, P = 0.67), it significantly outperformed the Shimadzu Aβ42/40 ratio (AUC = 0.65, P = 0.037) and the Simoa Aβ42/40 assay (AUC = 0.57, P = 0.023). Aβ biomarkers provided limited utility in distinguishing AD from bvFTD. In contrast, pTau181 and GFAP exhibited strong discriminatory power for differentiating AD from bvFTD, with AUCs of 0.90 and 0.87, respectively. Combining pTau181 and GFAP enhanced diagnostic accuracy, achieving an AUC of 0.94.

conclusionWe introduced a novel IP-MS assay that demonstrated comparable precision to the Shimadzu composite score in differentiating AD from non-neurodegenerative control groups. However, Aβ levels did not enhance the discrimination between AD and bvFTD. Furthermore, our findings support the utility of combining pTau181 and GFAP as a robust strategy for the blood-based differentiation of AD and bvFTD.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersFrontotemporal Dementiatau ProteinsAgedAged, 80 and overDiagnosis, DifferentialFemaleGlial Fibrillary Acidic ProteinHumansImmunoprecipitationMaleMass SpectrometryMiddle AgedNeurofilament ProteinsAmyloid beta-Peptidesamyloid beta-protein (1-40)amyloid beta-protein (1-42)BiomarkersGFAP protein, humanGlial Fibrillary Acidic Proteinneurofilament protein LNeurofilament ProteinsPeptide Fragmentstau ProteinsAlzheimer’s diseaseAmyloid-betaBlood biomarkerDementiaDifferential diagnosisFrontotemporal lobar degenerationMass spectrometry

Identifiers

PMID39736793
PMCPMC11687143

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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.