Evidence map›Paper›PMID 40459359›Full record

ArticleThe Journal of chemical physics2025

Low-frequency Raman spectra of amyloid fibrils.

Madeline Harper, Amanda Dumi, Shiv Upadhyay, Riley J Workman, Delaney Nelson, Uma Nudurupati, Yangguang Ou, David Punihaole

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Madeline HarperDepartment of Chemistry, University of Vermont, Burlington, Vermont 05405, USA.ORCID 0009-0008-9894-1875
Amanda DumiSandia National Laboratories, Albuquerque, New Mexico 87185, USA.ORCID 0000-0002-2693-8537
Shiv UpadhyayDepartment of Chemistry, University of Washington, Seattle, Washington 98195, USA.ORCID 0000-0002-8501-0501
Riley J WorkmanSealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, Texas 77555, USA.ORCID 0009-0002-8784-9949
Delaney NelsonDepartment of Chemistry, University of Vermont, Burlington, Vermont 05405, USA.ORCID 0009-0005-8260-9219
Uma NudurupatiDepartment of Chemistry, University of Vermont, Burlington, Vermont 05405, USA.ORCID 0000-0003-4166-384X
Yangguang OuDepartment of Chemistry, University of Vermont, Burlington, Vermont 05405, USA.ORCID 0000-0002-6902-3978
David PunihaoleDepartment of Chemistry, University of Vermont, Burlington, Vermont 05405, USA.ORCID 0000-0002-4637-9672

Funding

Vermont Center for Cardiovascular and Brain HealthP20GM135007 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Kathryn H Morelli · 2020 to 2026
$17.4M
NIGMS NIH HHS P20 GM135007
6 · The paper itself

Abstract

We report on how low-frequency Raman measurements can be used as a facile tool to investigate the supramolecular structure of amyloid fibrils. We investigate the low-frequency Raman spectra (<500 cm-1) of six different amyloid fibrils exhibiting parallel β-sheet structures prepared from amyloid-β1-40, amylin, amyloid-β25-35, and amylin20-29 peptides. We propose band assignments using a combination of semi-empirical tight-binding calculations and insights gleaned from previously published studies on model polypeptides in β-sheet conformations. We discuss how low-frequency Raman modes can be used to probe the interactions, packing, and ordering of strands and side chains within fibril β-sheets to gain insights into their supramolecular structures.

Indexed as

AmyloidAmyloid beta-PeptidesProtein Conformation, beta-StrandSpectrum Analysis, RamanAmyloidAmyloid beta-Peptides

Identifiers

PMID40459359
PMCPMC12143197

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Registered trials

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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.