Evidence map›Paper›PMID 33116184›Full record

ArticleScientific reports2020

Dynamic changes in the brain protein interaction network correlates with progression of Aβ42 pathology in Drosophila.

Harry M Scholes, Adam Cryar, Fiona Kerr, David Sutherland, Lee A Gethings, Johannes P C Vissers, Jonathan G Lees, Christine A Orengo, Linda Partridge, Konstantinos Thalassinos

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
0.8field-weighted citation impact, top 27% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Exploring Aβ Proteotoxicity and Therapeutic Candidates UsingInternational journal of molecular sciences · 2021
    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

10 authors at 5 institutions in 2 countries.

Harry M ScholesInstitute of Structural and Molecular Biology, University College London, London, UK.
Adam CryarInstitute of Structural and Molecular Biology, University College London, London, UK.
Fiona KerrInstitute of Healthy Ageing, University College London, London, UK.
David SutherlandInstitute of Structural and Molecular Biology, University College London, London, UK.
Lee A GethingsWaters Corporation, Wilmslow, UK.
Johannes P C VissersWaters Corporation, Wilmslow, UK.
Jonathan G LeesInstitute of Structural and Molecular Biology, University College London, London, UK.
Christine A OrengoInstitute of Structural and Molecular Biology, University College London, London, UK. c.orengo@ucl.ac.uk.
Linda PartridgeInstitute of Healthy Ageing, University College London, London, UK. l.partridge@ucl.ac.uk.
Konstantinos ThalassinosInstitute of Structural and Molecular Biology, University College London, London, UK. k.thalassinos@ucl.ac.uk.
Institute of Structural and Molecular Biology · GBWaters (United Kingdom) · GBGlasgow Caledonian University · GBMax Planck Institute for Biology of Ageing · DEUniversity College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L002817/1Wellcome TrustWellcome Trust 098565/Z/12/ZWellcome Trust 104913/Z/14/ZWellcome Trust 203780/Z/16/A
6 · The paper itself

Abstract

Alzheimer's disease (AD), the most prevalent form of dementia, is a progressive and devastating neurodegenerative condition for which there are no effective treatments. Understanding the molecular pathology of AD during disease progression may identify new ways to reduce neuronal damage. Here, we present a longitudinal study tracking dynamic proteomic alterations in the brains of an inducible Drosophila melanogaster model of AD expressing the Arctic mutant Aβ42 gene. We identified 3093 proteins from flies that were induced to express Aβ42 and age-matched healthy controls using label-free quantitative ion-mobility data independent analysis mass spectrometry. Of these, 228 proteins were significantly altered by Aβ42 accumulation and were enriched for AD-associated processes. Network analyses further revealed that these proteins have distinct hub and bottleneck properties in the brain protein interaction network, suggesting that several may have significant effects on brain function. Our unbiased analysis provides useful insights into the key processes governing the progression of amyloid toxicity and forms a basis for further functional analyses in model organisms and translation to mammalian systems.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAnimalsBrainDisease Models, AnimalDisease ProgressionDrosophila melanogasterDrosophila ProteinsLongitudinal StudiesNeuronsPeptide FragmentsProtein Interaction MapsProteomicsAmyloid beta-Peptidesamyloid beta-protein (1-42)Drosophila ProteinsPeptide Fragments

Identifiers

PMID33116184
PMCPMC7595221
OpenAlexW3095344531

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.