Evidence map›Paper›PMID 41959760›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Presymptomatic plasma biomarkers in autosomal dominant Alzheimer's disease: sequence and timing.

Christopher R S Belder, Amanda J Heslegrave, Owen Swann, Emily Abel, Millie Beament, Moneeb Nasir, Helen Rice, Philip S J Weston, Natalie S Ryan, Lyle J Palmer and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Christopher R S BelderSchool of Medicine, Adelaide University, Adelaide, SA, Australia.ORCID 0009-0000-0472-870X
Amanda J HeslegraveUK Dementia Research Institute at UCL, London, WC1E 6BT, UK.ORCID 0000-0002-7290-6405
Owen SwannUK Dementia Research Institute at UCL, London, WC1E 6BT, UK.
Emily AbelDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Millie BeamentDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Moneeb NasirDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Helen RiceDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Philip S J WestonDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Natalie S RyanDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Lyle J PalmerAustralian Institute of Machine Learning, Adelaide University, Adelaide, SA, Australia.
Amy BrodtmannSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-9466-2862
Timothy KleinigSchool of Medicine, Adelaide University, Adelaide, SA, Australia.ORCID 0000-0003-4430-3276
Henrik ZetterbergUK Dementia Research Institute at UCL, London, WC1E 6BT, UK.
Nick C FoxDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.

Funding

Digital Assessment of Long-term Forgetting in Autosomal-Dominant Alzheimer's DiseaseR61AG083581 · NIA · WASHINGTON UNIVERSITY · PI HASSENSTAB, JASON J, WESTON, PHILIP · 2023 to 2024
$953k
NIA NIH HHS R61 AG083581Wellcome Trust
6 · The paper itself

Abstract

Background: Autosomal dominant Alzheimer's disease (ADAD) serves as a model for presymptomatic biomarker discovery. Characterising the temporal profile of plasma biomarker levels in presymptomatic individuals may enhance understanding of disease pathogenesis, inform future clinical trials, and guide clinical interpretation. Methods: We evaluated 124 proteins using a NUcleic acid-Linked Immuno-Sandwich Assay (NULISA) panel in 270 plasma samples from a longitudinal cohort study of ADAD, comprising 113 individuals (73 mutation carriers and 40 non-carriers). We determined the plasma proteomic changes that distinguished mutation carriers from non-carriers. We then used predicted age at symptom onset to determine the approximate timing of presymptomatic divergence in biomarker levels in carriers relative to non-carriers. Results: Nine proteins (Aβ42, BACE1, GFAP, pTau181, pTau231, pTau217, MAPT, NfL, and AChE) robustly differed between carriers and non-carriers, cross-sectionally. Longitudinal analyses showed Aβ42 levels were elevated in carriers at least 26 years before expected symptom onset. Carriers diverged from non-carriers in phosphorylated tau markers at 21-24 years before expected symptoms, total-tau at 19 years, GFAP and BACE1 at 14 years, and NfL at 6 years. Differences in AChE were seen in symptomatic individuals, likely reflecting cholinesterase inhibitor use. Conclusion: Multiple plasma proteins are elevated in presymptomatic and symptomatic autosomal dominant AD mutation carriers relative to non-carriers. Changes in eight biomarkers occur sequentially from 26 to 6 years prior to symptom onset. Combining biomarkers may help in staging presymptomatic AD and optimise clinical trial inclusion. Further work is needed to assess how these findings generalise to non-monogenic AD.

Identifiers

PMID41959760
PMCPMC13060447

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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.