Evidence map›Paper›PMID 40678255›Full record

ArticleResearch square2025

Development of a rapid and novel diagnostic technique for cardiac amyloidosis using Raman spectroscopy.

Mizuki Yoshimoto, Shin-Ichiro Yanagiya, Hiroki Takanari, Takeshi Honda, Yusaku Maeda, Ryohei Sumitani, Masahiro Oura, Kimiko Sogabe, Takeshi Harada, Shiro Fujii and 7 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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

17 authors.

Mizuki YoshimotoFaculty of Science and Technology, Tokushima University.
Shin-Ichiro YanagiyaDepartment of Next Generation Photonics, Institute of Post-LED Photonics.
Hiroki TakanariDepartment of Legal Medicine, Nihon University School of Medicine.
Takeshi HondaGraduate School of Technology, Industrial and Social Sciences, Tokushima University.
Yusaku MaedaDepartment of Hematology, Endocrinology and Metabolism, Tokushima University Graduate School of Biomedical Sciences.
Ryohei SumitaniDepartment of Hematology, Endocrinology and Metabolism, Tokushima University Graduate School of Biomedical Sciences.
Masahiro OuraDepartment of Hematology, Endocrinology and Metabolism, Tokushima University Graduate School of Biomedical Sciences.
Kimiko SogabeDepartment of Hematology, Endocrinology and Metabolism, Tokushima University Graduate School of Biomedical Sciences.
Takeshi HaradaDepartment of Hematology, Endocrinology and Metabolism, Tokushima University Graduate School of Biomedical Sciences.
Shiro FujiiDepartment of Hematology, Endocrinology and Metabolism, Tokushima University Graduate School of Biomedical Sciences.
Shingen NakamuraDepartment of Community Medicine and Medical Science, Tokushima University Graduate School of Biomedical Sciences.
Yoshimi BandoDivision of Pathology, Tokushima University Hospital.
Koichi TsuneyamaDepartment of Pathology and Laboratory Medicine, Tokushima University Graduate School of Biomedical Sciences.
Itsuro EndoDepartment of Bioregulatory Sciences, Tokushima University Graduate School of Biomedical Sciences.
Masahiro AbeDepartment of Hematology, Kawashima Hospital.
Ken-Ichi MatsuokaDepartment of Hematology, Endocrinology and Metabolism, Tokushima University Graduate School of Biomedical Sciences.
Hirokazu MikiDivision of Transfusion Medicine and Cell Therapy, Tokushima University Hospital.

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
NIGMS NIH HHS P41 GM103311Wellcome Trust FC001035
6 · The paper itself

Abstract

Although the prognosis of cardiac amyloidosis has improved with the development of therapies, the time required for disease typing remains a critical issue. We investigated the potential of Raman spectroscopy for the more rapid diagnosis and typing of cardiac amyloidosis. Heart biopsies were collected from patients with the AL (4) and ATTR (4) types of cardiac amyloidosis, and tissue sections were subjected to Raman microscopy. A principal component analysis (PCA) of spectral data was performed and receiver operating characteristic (ROC) curves were created to confirm the accuracy of discriminating between amyloid-deposition and non-deposition sites, and between AL and ATTR. The steep peak at 1680 cm

Indexed as

Cardiac amyloidosisImmunoglobulin light chainsRaman spectroscopyRapid diagnosisTransthyretin

Identifiers

PMID40678255
PMCPMC12270217

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.