Evidence map›Paper›PMID 18459774›Full record

ArticleJournal of the American Chemical Society2008

Tracking fiber formation in human islet amyloid polypeptide with automated 2D-IR spectroscopy.

David B Strasfeld, Yun L Ling, Sang-Hee Shim, Martin T Zanni

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 126 citations in OpenAlex.

  1. Review
  2. Mammals that can develop type 2 diabetes have a similarly structured β-sheet amyloid oligomer.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  6. Increasing Pump-Probe Signal toward Asymptotic Limits.The journal of physical chemistry. B · 2023
    Review
  7. Article
  8. Infrared Diffusion-Ordered Spectroscopy Reveals Molecular Size and Structure.Angewandte Chemie (International ed. in English) · 2023
    Article
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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

4 authors at 1 institution in 1 country.

David B StrasfeldDepartment of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison,Wisconsin 53703, USA.
Yun L Ling
Sang-Hee Shim
Martin T Zanni
University of Wisconsin–Madison · US

Funding

Structural mechanism of diabetic amyloid formationR01DK079895 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI Martin T Zanni · 2008 to 2026
$7.7M
NIDDK NIH HHS R01 DK079895NIDDK NIH HHS R01DK79895
6 · The paper itself

Abstract

Amyloid forming proteins have been implicated in many human diseases. The kinetics of amyloid fiber formation are of particular interest because evidence points to intermediate folding structures as potential cytotoxic species. The standard methods for monitoring the kinetics are to use fluorescence or circular dichroism spectroscopy, which do not uniquely resolve secondary structures. In this work, we use a new technology for rapidly scanning 2D-IR spectra that allows us to follow the fiber formation kinetics of the human islet amyloid polypeptide (hIAPP) that is involved in type II diabetes. Spectroscopic markers are identified that uniquely monitor random coil versus beta-sheet secondary structures as well as probe beta-sheet elongation and stacking. Our measurements provide more rigorous kinetics for the secondary structure evolution of amyloid formation than is available with other techniques.

Indexed as

AmyloidHumansIslet Amyloid PolypeptideProtein Structure, SecondarySpectrophotometry, InfraredAmyloidIslet Amyloid Polypeptide

Identifiers

PMID18459774
PMCPMC3209517
OpenAlexW2023326634

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.