Evidence map›Paper›PMID 42039644›Full record

ArticlebioRxiv : the preprint server for biology2026

Natively entangled proteins are linked to human disease and pathogenic mutations likely due to a greater misfolding propensity.

Maria F Anglero Mendez, Ian Sitarik, Quyen V Vu, Prabhat Totoo, James D Stephenson, Hyebin Song, Edward P O'Brien

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

7 authors.

Maria F Anglero MendezDepartment of Statistics, Pennsylvania State University, University Park, PA 16802, USA.
Ian SitarikInstitute for Computational and Data Sciences, Pennsylvania State University, University Park, PA 16802, USA.
Quyen V VuDepartment of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.
Prabhat TotooEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL -EBI) Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
James D StephensonEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL -EBI) Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Hyebin SongDepartment of Statistics, Pennsylvania State University, University Park, PA 16802, USA.
Edward P O'BrienInstitute for Computational and Data Sciences, Pennsylvania State University, University Park, PA 16802, USA.

Funding

Translation Kinetics and their Effects on Protein Structure and Function, mRNA half-lives, and Cellular PhenotypeR35GM124818 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Edward Patrick O'Brien · 2017 to 2026
$4.0M
NIGMS NIH HHS R35 GM124818
6 · The paper itself

Abstract

A recently discovered class of protein misfolding involving native entanglements could be a widespread mechanism by which loss-of-function diseases arise. Here, we test that hypothesis by examining if there is any statistical association between proteins predisposed to misfold in this way and a database of gene-disease relationships. We find that globular proteins containing non-covalent lasso entanglements (NCLEs) in their native structure, which are more prone to misfolding, are 61% more likely to be associated with disease, 68% more likely to harbor pathogenic missense mutations, and their misfolding-prone entangled regions are 64% more likely to harbor pathogenic missense mutations. Protein refolding simulations indicate that these disease associated, natively entangled proteins are 2.5-times more likely to misfold than comparable non-disease proteins that lack native NCLEs. These results indicate that native entanglement misfolding, especially in the presence of missense mutations, have the potential to contribute to a wide variety of diseases. More broadly, these findings open an entirely new space of therapeutic targets in which drugs are designed to avoid these misfolded states and increase the amount of folded, functional protein.

Identifiers

PMID42039644
PMCPMC13104991

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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.