Evidence map›Paper›PMID 29148426›Full record

ArticleeLife2017

Stabilization and structural analysis of a membrane-associated hIAPP aggregation intermediate.

Diana C Rodriguez Camargo, Kyle J Korshavn, Alexander Jussupow, Kolio Raltchev, David Goricanec, Markus Fleisch, Riddhiman Sarkar, Kai Xue, Michaela Aichler, Gabriele Mettenleiter and 5 more

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. The Structure of Human IAPP Fibrils Reflects Membrane and pH Conditions.Journal of the American Chemical Society · 2025
    Article
  7. Article
  8. Catalytic Serine Labeling in Nonaqueous, Acidic Media.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Multi-eGO: An in silico lens to look into protein aggregation kinetics at atomic resolution.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
  19. Solid-State NMR Study to Probe the Effects of Divalent Metal Ions (CaLangmuir : the ACS journal of surfaces and colloids · 2021
    Article
  20. 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

15 authors.

Diana C Rodriguez Camargo *Institute for Advanced Study, Technische Universität München, Garching, Germany.ORCID https://orcid.org/0000-0003-3522-4859
Kyle J Korshavn *Program in Biophysics, Department of Chemistry, University of Michigan, Ann Arbor, United States.
Alexander JussupowInstitute for Advanced Study, Technische Universität München, Garching, Germany.
Kolio RaltchevCenter for Integrated Protein Science Munich (CIPSM), Department Chemie, Technische Universität München, Garching, Germany.
David GoricanecCenter for Integrated Protein Science Munich (CIPSM), Department Chemie, Technische Universität München, Garching, Germany.
Markus FleischHelmholtz Zentrum München, Neuherberg, Germany.
Riddhiman SarkarCenter for Integrated Protein Science Munich (CIPSM), Department Chemie, Technische Universität München, Garching, Germany.
Kai XueHelmholtz Zentrum München, Neuherberg, Germany.
Michaela AichlerHelmholtz Zentrum München, Neuherberg, Germany.
Gabriele MettenleiterHelmholtz Zentrum München, Neuherberg, Germany.
Axel Karl WalchHelmholtz Zentrum München, Neuherberg, Germany.
Carlo CamilloniInstitute for Advanced Study, Technische Universität München, Garching, Germany.ORCID http://orcid.org/0000-0002-9923-8590
Franz HagnInstitute for Advanced Study, Technische Universität München, Garching, Germany.
Bernd ReifCenter for Integrated Protein Science Munich (CIPSM), Department Chemie, Technische Universität München, Garching, Germany.
Ayyalusamy RamamoorthyInstitute for Advanced Study, Technische Universität München, Garching, Germany.ORCID http://orcid.org/0000-0003-1964-1900

Funding

Membrane interaction and disruption by the Alzheimer's amyloid-beta peptideR01AG048934 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAMAMOORTHY, AYYALUSAMY · 2016 to 2020
$2.0M
NIA NIH HHS R01 AG048934
6 · The paper itself

Abstract

Membrane-assisted amyloid formation is implicated in human diseases, and many of the aggregating species accelerate amyloid formation and induce cell death. While structures of membrane-associated intermediates would provide tremendous insights into the pathology and aid in the design of compounds to potentially treat the diseases, it has not been feasible to overcome the challenges posed by the cell membrane. Here, we use NMR experimental constraints to solve the structure of a type-2 diabetes related human islet amyloid polypeptide intermediate stabilized in nanodiscs. ROSETTA and MD simulations resulted in a unique β-strand structure distinct from the conventional amyloid β-hairpin and revealed that the nucleating NFGAIL region remains flexible and accessible within this isolated intermediate, suggesting a mechanism by which membrane-associated aggregation may be propagated. The ability of nanodiscs to trap amyloid intermediates as demonstrated could become one of the most powerful approaches to dissect the complicated misfolding pathways of protein aggregation.

Indexed as

Protein AggregatesProtein MultimerizationHumansIslet Amyloid PolypeptideMagnetic Resonance SpectroscopyMembranesProtein FoldingIslet Amyloid PolypeptideProtein AggregatesAmyloid peptidebiochemistrybiophysicsmembraneNMRnonestructural biologyStructure

Identifiers

PMID29148426
PMCPMC5706959

What OpenQuestion holds

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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.