Evidence map›Paper›PMID 32570820›Full record

ArticleBiomolecules2020

Redox-Dependent Copper Ion Modulation of Amyloid-β (1-42) Aggregation In Vitro.

Nima Sasanian, David Bernson, Istvan Horvath, Pernilla Wittung-Stafshede, Elin K Esbjörner

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 33 citations in OpenAlex.

  1. The Effect of CuACS chemical neuroscience · 2026
    Article
  2. Review
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  4. Copper homeostasis and cuproptosis in Alzheimer's disease (Review).International journal of molecular medicine · 2025
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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

5 authors at 1 institution in 1 country.

Nima SasanianDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
David BernsonDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden.ORCID 0000-0002-8501-801X
Istvan HorvathDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
Pernilla Wittung-StafshedeDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden.ORCID 0000-0003-1058-1964
Elin K EsbjörnerDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
Chalmers University of Technology · SE

Funding

Knut och Alice Wallenbergs Stiftelse Wallenberg Scholar ProgramNanoscience and Nanotechnology Area of Advance, Chalmers Tekniska Högskola Excellence PhD programNanoscience and Nanotechnology Area of Advance, Chalmers Tekniska Högskola n/aVetenskapsrådet 2016-03902Vetenskapsrådet 2019-03673
6 · The paper itself

Abstract

Plaque deposits composed of amyloid-β (Aβ) fibrils are pathological hallmarks of Alzheimer's disease (AD). Although copper ion dyshomeostasis is apparent in AD brains and copper ions are found co-deposited with Aβ peptides in patients' plaques, the molecular effects of copper ion interactions and redox-state dependence on Aβ aggregation remain elusive. By combining biophysical and theoretical approaches, we here show that Cu

Indexed as

Amyloid beta-PeptidesCopperHydrogen-Ion ConcentrationIonsOxidation-ReductionPeptide FragmentsProtein AggregatesRecombinant ProteinsAmyloid beta-Peptidesamyloid beta-protein (1-42)CopperIonsPeptide FragmentsProtein AggregatesRecombinant ProteinsaggregationAlzheimer’s diseaseamyloidamyloid-βcopperinhibitionkinetics

Identifiers

PMID32570820
PMCPMC7355640
OpenAlexW3036476099

What OpenQuestion 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 OpenQuestion graph.