Evidence map›Paper›PMID 41645155›Full record

ArticleBMC biology2026

FUS and TDP-43 aggregation are uncoupled from toxicity in ageing yeast models.

Donovan W McDonald, Nikita Chugh, Rares Sava, Martin L Duennwald

Abstract read
In one paragraph

Article in BMC biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Donovan W McDonaldDepartment of Biology, The University of Western Ontario, London, ON, N6A 3K7, Canada.
Nikita ChughDepartment of Biochemistry, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, N6A 3K7, Canada.
Rares SavaDepartment of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, N6A 3K7, Canada.
Martin L DuennwaldDepartment of Biology, The University of Western Ontario, London, ON, N6A 3K7, Canada. martin.duennwald@schulich.uwo.ca.ORCID 0000-0002-9136-4592

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2024-05867
6 · The paper itself

Abstract

backgroundProtein aggregation is indicative of the loss of proteostasis associated with neurodegenerative diseases, including Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD). Proteins like Fused in sarcoma (FUS) and Tar DNA-binding protein 43 (TDP-43) accumulate and aggregate in the cytosol of neurons in ALS/FTD. Yet, it remains unclear how ageing affects FUS and TDP-43 aggregation, and how these aggregates in turn influence neurodegeneration in ALS/FTD. In addition, mistranslation can reduce longevity, challenge proteostasis, and modulate protein aggregation. To investigate how ageing and mistranslation modulate FUS and TDP-43 aggregation and toxicity, we enlist tractable and reliable yeast models.

resultsUsing optimized low-expression FUS and TDP-43 yeast models, we demonstrate that chronological ageing antagonizes proteostasis, the steady state levels and solubility of molecular chaperones, and aggregation of FUS and TDP-43. In addition, mistranslation caused by tRNA variants further antagonize FUS and TDP-43 aggregation and synergize to exacerbate FUS and TDP-43 cytotoxicity.

conclusionsOur work provides new insights into factors that uncouple FUS and TDP-43 aggregation from toxicity and support a rather protective role for FUS and TDP-43 aggregates in promoting longevity.

Indexed as

AgingDNA-Binding ProteinsProtein AggregatesRNA-Binding Protein FUSSaccharomyces cerevisiaeHumansSaccharomyces cerevisiae ProteinsDNA-Binding ProteinsFUS protein, humanProtein AggregatesRNA-Binding Protein FUSSaccharomyces cerevisiae ProteinsTARDBP protein, humanAgeingALSFUSMistranslationMitochondriaMolecular chaperoneProtein aggregationProtein misfoldingTDP-43

Identifiers

PMID41645155
PMCPMC12973704

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Registered trials

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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.