Evidence map›Paper›PMID 41951867›Full record

ArticleCommunications chemistry2026

Rapid elongation drives the exceptionally fast aggregation of the most common localized human amyloid medin.

Vaidehi Roy Chowdhury, Robert I Horne, Mariana P Cali, Zenon Toprakcioglu, Sara Linse, Michele Vendruscolo

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In one paragraph

Article in Communications chemistry, 2026. 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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0citing papers in PubMed
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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

6 authors.

Vaidehi Roy ChowdhuryCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0009-0000-9920-0624
Robert I HorneCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-1534-2639
Mariana P CaliCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Zenon ToprakciogluCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Sara LinseBiochemistry and Structural Biology, Department of Chemistry, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0001-9629-7109
Michele VendruscoloCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK. mv245@cam.ac.uk.ORCID http://orcid.org/0000-0002-3616-1610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloid deposition is a hallmark of numerous age-related diseases, and understanding the chemical mechanisms that govern amyloid formation is crucial for advancing the rational development of protein aggregation inhibitors. With amyloid formation rates varying widely across proteins, here we report the quantitative aggregation mechanism of medin, the most common localized amyloid in humans, and find it to be much faster compared to well-known pathological amyloids such as amyloid-β (Aβ), tau and α-synuclein. We report the microscopic rate constants and reaction orders of medin fibril formation by monitoring the aggregation of recombinant human medin in vitro via a fluorescence-based assay, global kinetic modeling, secondary structure analysis and electron microscopy. Medin spontaneously forms amyloid fibrils at physiological pH and temperature in quiescent solution at concentrations as low as 25 nM, with the highest fibril elongation rate constant when compared to those of Aβ, tau and α-synuclein. Our results identify the microscopic basis of the widespread observation of medin aggregates upon aging, offering a mechanistic starting point for drug discovery to inhibit medin aggregation.

Identifiers

PMID41951867
PMCPMC13237374

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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.