PRO-FitS: a novel phenotypic assay to identify enhancers of proteostasis in C. elegans

preprint OA: closed
Full text JSON View at publisher
Full text 2,028 characters · extracted from oa-doi-fallback · click to expand
Abstract The prevalence of neurodegenerative diseases (NDs) continues to rise with the aging of populations worldwide, representing a pressing need for the establishment of therapeutic strategies. Maintaining proteostasis is crucial for healthy aging, as the accumulation of misfolded and aggregated proteins is a key contributor to age-related cellular dysfunction and disease. This study introduces a novel phenotypic assay using Caenorhabditis elegans to screen for small molecule enhancers of proteostasis, aiming at mitigating the proteotoxic stress associated with NDs. This new methodology- PRO-FitS- uses C. elegans motor activity as a proxy for the PROteome Fitness State upon a noxious protein-denaturating stimulus, while allowing a fast and experimenter-free readout. We demonstrate the efficacy of the assay by validating the role of pharmacological mTOR inhibition and serotonergic signaling activation in reducing heat shock-induced proteotoxic damage at the whole-organism level. PRO-FitS will allow the identification of novel compounds that alleviate protein aggregation disorders, potentially revealing new pathways and cellular targets not previously implicated in proteotoxicity. Significance Statement Neurodegenerative diseases remain without effective cures, in part due to the lack of scalable methods to identify compounds that improve proteostasis. We developed PRO-FitS, a whole-organism, automated phenotypic assay in C. elegans that uses motor activity recovery as a proxy for proteome fitness after proteotoxic stress. This platform enables rapid, unbiased screening of small molecules and genetic modifiers, bridging the gap between cellular assays and complex animal models. By demonstrating the assay’s robustness in both wild-type and disease-relevant contexts, we establish PRO-FitS as a versatile tool for discovering therapeutic candidates and uncovering novel pathways relevant to protein aggregation disorders. Competing Interest Statement The authors have declared no competing interest.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00