Evidence map›Paper›PMID 42717880›Full record

ArticleCirculation. Heart failure2026

Proteomics Profiling Reveals Molecular Subtypes of Transthyretin Cardiac Amyloidosis.

Itsuki Osawa, Sergio L Teruya, Dimitrios Bampatsias, Alfonsina Mirabal, Mathew S Maurer, Yuichi J Shimada

Abstract read
In one paragraph

Article in Circulation. Heart failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Itsuki OsawaDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, NY.ORCID 0000-0001-7790-9130
Sergio L TeruyaDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, NY.ORCID 0000-0002-4653-9330
Dimitrios BampatsiasDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, NY.
Alfonsina MirabalDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, NY.ORCID 0009-0009-4498-2396
Mathew S MaurerDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, NY.ORCID 0000-0001-5400-5008
Yuichi J ShimadaDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, NY.ORCID 0000-0002-3494-307X

Funding

SCAN-MP (Screening for Cardiac Amyloidosis with Nuclear imaging in Minority Populations) COVID-19 SuppplementR01HL139671 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAURER, MATHEW S, RUBERG, FREDERICK LIEF · 2019 to 2023
$7.4M
Proteomics profiling in hypertrophic cardiomyopathy and cardiac event predictionR01HL157216 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIMADA, YUICHI · 2021 to 2025
$3.5M
Transcriptomics, pathobiology, and cardiac event in hypertrophic cardiomyopathyR01HL168382 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Yuichi Shimada · 2023 to 2026
$2.9M
Analysis of Lumbar Spine Stenosis Specimens for Identification of Transthyretin Cardiac AmyloidosisR01AG081582 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATHEW S MAURER · 2023 to 2026
$2.8M
NHLBI NIH HHS R01 HL139671NHLBI NIH HHS R01 HL157216NHLBI NIH HHS R01 HL168382NIA NIH HHS R01 AG081582
6 · The paper itself

Abstract

backgroundTransthyretin cardiac amyloidosis (ATTR-CA) may involve heterogeneity in biological mechanisms (ie, molecular subtypes). Molecular subtypes potentially lead to differences in prognosis and treatment response to tafamidis-the first disease-modifying therapy for ATTR-CA. We aimed to derive molecular subtypes of ATTR-CA through comprehensive plasma proteomics profiling and to examine their associations with prognosis and estimated treatment effect of tafamidis.

methodsWe applied unsupervised machine learning to comprehensive plasma proteomics profiling of 7289 proteins to identify molecular subtypes in our prospective cohort of patients with ATTR-CA enrolled at Columbia University. We compared all-cause mortality risk and estimated the treatment effect of tafamidis among the identified molecular subtypes, adjusting for age, sex, TTR genotype, and concomitant medication use. We also performed pathway analysis comparing the worst prognosis subtype with the other subtypes combined.

resultsAmong 142 patients eligible for analysis, 96 patients received tafamidis treatment. We identified 3 molecular subtypes (subtype A: n=49, subtype B: n=38, and subtype C: n=55) with different survival risks during a median follow-up of 5.2 years (log-rank

conclusionsOur prospective cohort study using comprehensive plasma proteomics profiling not only uncovered molecular ATTR-CA subtypes but also identified pathogenetic mechanisms associated with differential prognosis and estimated the treatment effect of tafamidis.

Indexed as

cardiomyopathiesgenotypemachine learningplasmaproteomics

Identifiers

PMID42717880
PMCPMC13597163

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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.