Evidence map›Paper›PMID 40950201›Full record

ArticlebioRxiv : the preprint server for biology2025

Aggregation-Dependent Epitope Sequence and Modification Fingerprints of Anti-Aβ Antibodies.

Talucci Ivan, Leske Timon, Klafki Hans-Wolfgang, Hassan Mohammed Mehedi, Steiert Annik, Morgado Barbara, Bothe Sebastian, van Werven Lars, Liepold Thomas, Walter Jochen and 5 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

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

15 authors.

Talucci IvanRudolf Virchow Center for Integrative and Translational Bioimaging, Julius-Maximilians-Universität (JMU) Würzburg, Germany.ORCID 0000-0001-5617-8869
Leske TimonRudolf Virchow Center for Integrative and Translational Bioimaging, Julius-Maximilians-Universität (JMU) Würzburg, Germany.
Klafki Hans-WolfgangDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Germany.
Hassan Mohammed MehediDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Germany.
Steiert AnnikDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Germany.
Morgado BarbaraDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Germany.
Bothe SebastianRudolf Virchow Center for Integrative and Translational Bioimaging, Julius-Maximilians-Universität (JMU) Würzburg, Germany.ORCID 0000-0001-6408-6112
van Werven LarsNeuroproteomics Group, Department of Molecular Neurobiology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Liepold ThomasNeuroproteomics Group, Department of Molecular Neurobiology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Walter JochenCenter of Neurology, Molecular Cell Biology, University Hospital Bonn, Germany.ORCID 0000-0002-4678-2912
Schindelin HermannRudolf Virchow Center for Integrative and Translational Bioimaging, Julius-Maximilians-Universität (JMU) Würzburg, Germany.ORCID 0000-0002-2067-3187
Wiltfang JensDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Germany.ORCID 0000-0003-1492-5330
Wirths OliverDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Germany.ORCID 0000-0002-4115-0334
Jahn OlafDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Germany.ORCID 0000-0002-3397-8924
Maric Hans-MichaelRudolf Virchow Center for Integrative and Translational Bioimaging, Julius-Maximilians-Universität (JMU) Würzburg, Germany.ORCID 0000-0002-2719-4752

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A hallmark of Alzheimer's disease (AD), the most common form of dementia, is the progressive accumulation of amyloid-beta (Aβ) peptides across distinct brain regions. Anti-Aβ antibodies (Aβ-Abs) targeting specific Aβ variants are essential tools for AD research, diagnostics, and therapy. The monoclonal antibodies Aducanumab, Lecanemab, and Donanemab have recently been approved as the first disease-modifying treatments for early AD, highlighting the clinical importance of their exact binding profiles. In this study, we systematically characterized the binding and modification requirements of 20 Aβ-Abs, including biosimilars of Aducanumab, Lecanemab, and Donanemab, across monomeric, oligomeric, and aggregated Aβ forms. Array-based analysis of 20,000 modified Aβ peptides defined binding epitopes at single-residue resolution and revealed the impact of sequence variation, including familial AD mutations, as well as diverse post-translational modifications (PTMs). Notably, genetic variants such as H6R impaired binding of therapeutic Aβ-Abs like Aducanumab. Donanemab showed strong preference for pyroglutamate-modified AβpE3-10, while Lecanemab and Aducanumab exhibited aggregation- and sequence-context-dependent binding requirements. Comparison of peptide binding profiles with binding of full-length and aggregated Aβ via immunoprecipitation-mass spectrometry, capillary immunoassays, Western blotting, and immunohistochemistry on AD brain tissue revealed distinct aggregation-dependent binding behaviours. The valency- and context-dependence of Aducanumab binding, together with its preference for Ser8-phosphorylated Aβ, supports a dimerization-mediated binding mechanism. For Lecanemab, our data suggest that additional structural contributions beyond the minimal N-terminal epitope are required for binding to aggregated Aβ, which remain to be fully resolved. Together, this work provides the most comprehensive dataset to date on aggregation-dependent sequence and modification selectivity of Aβ-Abs. By integrating mutational, PTM, and aggregation contexts in a unified experimental framework, we establish a resource that enables rational selection of antibodies for research and diagnostic applications, and offers mechanistic insights that may inform the design and optimization of future therapeutic antibodies in AD.

Identifiers

PMID40950201
PMCPMC12424645

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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.