Evidence map›Paper›PMID 38846392›Full record

ArticleChemical science2024

Kinetic models reveal the interplay of protein production and aggregation.

Jiapeng Wei, Georg Meisl, Alexander Dear, Matthijs Oosterhuis, Ronald Melki, Cecilia Emanuelsson, Sara Linse, Tuomas P J Knowles

Abstract read
In one paragraph

Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

8 authors.

Jiapeng WeiCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge Lensfield Road Cambridge CB2 1EW UK tpjk2@cm.ac.uk.ORCID https://orcid.org/0000-0003-4146-0604
Georg MeislCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge Lensfield Road Cambridge CB2 1EW UK tpjk2@cm.ac.uk.ORCID https://orcid.org/0000-0002-6562-7715
Alexander DearCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge Lensfield Road Cambridge CB2 1EW UK tpjk2@cm.ac.uk.
Matthijs OosterhuisDepartment of Biochemistry and Structural Biology, Center for Molecular Protein Science, Lund University Sweden.
Ronald MelkiInstitut Francois Jacob (MIRCen), CEA and Laboratory of Neurodegenerative Diseases, CNRS 18 Route du Panorama, Fontenay-Aux-Roses cedex 92265 France.
Cecilia EmanuelssonDepartment of Biochemistry and Structural Biology, Center for Molecular Protein Science, Lund University Sweden.
Sara LinseDepartment of Biochemistry and Structural Biology, Lund University Lund Sweden.ORCID https://orcid.org/0000-0001-9629-7109
Tuomas P J KnowlesCentre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge Lensfield Road Cambridge CB2 1EW UK tpjk2@cm.ac.uk.ORCID https://orcid.org/0000-0002-0016-3008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein aggregation is a key process in the development of many neurodegenerative disorders, including dementias such as Alzheimer's disease. Significant progress has been made in understanding the molecular mechanisms of aggregate formation in pure buffer systems, much of which was enabled by the development of integrated rate laws that allowed for mechanistic analysis of aggregation kinetics. However, in order to translate these findings into disease-relevant conclusions and to make predictions about the effect of potential alterations to the aggregation reactions by the addition of putative inhibitors, the current models need to be extended to account for the altered situation encountered in living systems. In particular,

Identifiers

PMID38846392
PMCPMC11151821

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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.