Evidence map›Paper›PMID 41004126›Full record

ArticlePhysical chemistry chemical physics : PCCP2025

General integrated rate law for complex self-assembly reactions reveals the mechanism of amyloid-beta coaggregation.

Alexander J Dear, Georg Meisl, Emil Axell, Xiaoting Yang, Risto Cukalevski, Thomas C T Michaels, Sara Linse, L Mahadevan

Abstract read
In one paragraph

Article in Physical chemistry chemical physics : PCCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

8 authors.

Alexander J DearDepartment of Biology, Institute of Biochemistry, ETH Zurich, Otto Stern Weg 3, 8093 Zurich, Switzerland. alexander.dear@bc.biol.ethz.ch.ORCID http://orcid.org/0000-0003-3055-607X
Georg MeislYusuf Hamied, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.ORCID http://orcid.org/0000-0002-6562-7715
Emil AxellDepartment of Biochemistry and Structural Biology, Lund University, 221 00 Lund, Sweden.ORCID http://orcid.org/0000-0002-5687-9566
Xiaoting YangDepartment of Biochemistry and Structural Biology, Lund University, 221 00 Lund, Sweden.
Risto CukalevskiDepartment of Biochemistry and Structural Biology, Lund University, 221 00 Lund, Sweden.
Thomas C T MichaelsDepartment of Biology, Institute of Biochemistry, ETH Zurich, Otto Stern Weg 3, 8093 Zurich, Switzerland. alexander.dear@bc.biol.ethz.ch.ORCID http://orcid.org/0000-0001-6931-5041
Sara LinseDepartment of Biochemistry and Structural Biology, Lund University, 221 00 Lund, Sweden.ORCID http://orcid.org/0000-0001-9629-7109
L MahadevanSchool of Engineering and Applied Sciences, Departments of Physics and of Organismic and Evolutionary Biology, Harvard University, Harvard, MA, USA. lmahadev@g.harvard.harvard.edu.ORCID http://orcid.org/0000-0002-5114-0519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyzing kinetic experiments on protein aggregation using integrated rate laws has led to numerous advances in our understanding of the fundamental chemical mechanisms behind amyloidogenic disorders such as Alzheimer's and Parkinson's diseases. However, the description of biologically relevant processes may require rate equations that are too complex to solve using existing methods, hindering mechanistic insights into these processes. An example of significance is coaggregation in environments containing multiple amyloid-beta (Aβ) peptide alloforms, which may play a crucial role in the biochemistry of Alzheimer's disease but whose mechanism is still poorly understood. Here, we use the mathematics of Lie symmetry to derive a general integrated rate law valid for most plausible linear self-assembly reactions. We use it in conjunction with experimental data to determine the mechanism of coaggregation of the most physiologically abundant Aβ alloforms: Aβ42, Aβ40, Aβ38 and Aβ37 peptides. We find that Aβ42 fibril surfaces catalyze the formation of co-oligomers, which accelerate new Aβ40, Aβ38 and Aβ37 fibril formation whilst inhibiting secondary nucleation of new Aβ42 fibrils. The simplicity, accuracy and broad applicability of our general integrated rate law will enable kinetic analysis of more complex filamentous self-assembly reactions, both with and without coaggregation.

Indexed as

Amyloid beta-PeptidesHumansKineticsPeptide FragmentsProtein AggregatesAmyloid beta-PeptidesPeptide FragmentsProtein Aggregates

Identifiers

PMID41004126
PMCPMC12466918

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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.