Evidence map›Paper›PMID 37684425›Full record

ReviewNature reviews. Molecular cell biology2023

Mechanisms and pathology of protein misfolding and aggregation.

Nikolaos Louros, Joost Schymkowitz, Frederic Rousseau

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing 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

111 citing papers in PubMed.

  1. Review
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  17. A functional amyloid scaffold shapes insect egg coats.bioRxiv : the preprint server for biology · 2026
    Article
  18. Review
  19. Article
  20. Article

51 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

3 authors.

Nikolaos LourosSwitch Laboratory, VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium.ORCID 0000-0002-4030-1022
Joost SchymkowitzSwitch Laboratory, VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium. Joost.schymkowitz@kuleuven.be.
Frederic RousseauSwitch Laboratory, VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium. Frederic.rousseau@kuleuven.be.ORCID 0000-0002-9189-7399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances in machine learning-based protein structure prediction, we are still far from fully understanding how proteins fold into their native conformation. The conventional notion that polypeptides fold spontaneously to their biologically active states has gradually been replaced by our understanding that cellular protein folding often requires context-dependent guidance from molecular chaperones in order to avoid misfolding. Misfolded proteins can aggregate into larger structures, such as amyloid fibrils, which perpetuate the misfolding process, creating a self-reinforcing cascade. A surge in amyloid fibril structures has deepened our comprehension of how a single polypeptide sequence can exhibit multiple amyloid conformations, known as polymorphism. The assembly of these polymorphs is not a random process but is influenced by the specific conditions and tissues in which they originate. This observation suggests that, similar to the folding of native proteins, the kinetics of pathological amyloid assembly are modulated by interactions specific to cells and tissues. Here, we review the current understanding of how intrinsic protein conformational propensities are modulated by physiological and pathological interactions in the cell to shape protein misfolding and aggregation pathology.

Indexed as

AmyloidProtein FoldingMolecular ChaperonesPeptidesProtein ConformationAmyloidMolecular ChaperonesPeptides

Identifiers

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.