Evidence map›Paper›PMID 32414930›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Kinetic diversity of amyloid oligomers.

Alexander J Dear, Thomas C T Michaels, Georg Meisl, David Klenerman, Si Wu, Sarah Perrett, Sara Linse, Christopher M Dobson, Tuomas P J Knowles

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
12.6field-weighted citation impact, top 1% of its field
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

88 citing papers in PubMed, 181 citations in OpenAlex.

  1. α-Synuclein Forms Distinct Micelle-Like Assemblies at Low Ionic Strengths.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  7. Review
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  11. Modeling Protein Aggregation Kinetics from NMR Data.Journal of molecular biology · 2025
    Review
  12. Article
  13. Review
  14. Physics of Protein Aggregation in Normal and Accelerated Brain Aging.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  15. Global kinetic model of lipid-inducedProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Detection of protein oligomers with nanopores.Nature reviews. Chemistry · 2025
    Review
  18. Review
  19. Article
  20. Review

28 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 4 countries.

Alexander J DearDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom.ORCID 0000-0003-3055-607X
Thomas C T MichaelsDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom.
Georg MeislDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom.ORCID 0000-0002-6562-7715
David KlenermanDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom.ORCID 0000-0001-7116-6954
Si WuNational Laboratory of Biomacromolecules, Chinese Academy of Sciences Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0001-7743-8236
Sarah PerrettNational Laboratory of Biomacromolecules, Chinese Academy of Sciences Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0003-0137-0997
Sara LinseDepartment of Biochemistry and Structural Biology, Lund University, 22100 Lund, Sweden.ORCID 0000-0001-9629-7109
Christopher M DobsonDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom.
Tuomas P J KnowlesDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom; tpjk2@cam.ac.uk.
University of Cambridge · GBChinese Academy of Sciences · CNHarvard University · USLund University · SE

Funding

Biotechnology and Biological Sciences Research CouncilWellcome Trust
6 · The paper itself

Abstract

The spontaneous assembly of proteins into amyloid fibrils is a phenomenon central to many increasingly common and currently incurable human disorders, including Alzheimer's and Parkinson's diseases. Oligomeric species form transiently during this process and not only act as essential intermediates in the assembly of new filaments but also represent major pathogenic agents in these diseases. While amyloid fibrils possess a common, defining set of physicochemical features, oligomers, by contrast, appear much more diverse, and their commonalities and differences have hitherto remained largely unexplored. Here, we use the framework of chemical kinetics to investigate their dynamical properties. By fitting experimental data for several unrelated amyloidogenic systems to newly derived mechanistic models, we find that oligomers present with a remarkably wide range of kinetic and thermodynamic stabilities but that they possess two properties that are generic: they are overwhelmingly nonfibrillar, and they predominantly dissociate back to monomers rather than maturing into fibrillar species. These discoveries change our understanding of the relationship between amyloid oligomers and amyloid fibrils and have important implications for the nature of their cellular toxicity.

Indexed as

KineticsAlzheimer DiseaseAmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsAmyloidosisModels, TheoreticalProtein AggregatesThermodynamicsAmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsProtein AggregatesAlzheimer’samyloidkineticsmodelingoligomers

Identifiers

PMID32414930
PMCPMC7275774
OpenAlexW3024506966

What OpenQuestion holds

Textmetadata
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.