Evidence map›Paper›PMID 39523983›Full record

ArticleCirculation. Heart failure2025

Comprehensive Proteomics Profiling Identifies Circulating Biomarkers to Distinguish Hypertrophic Cardiomyopathy From Other Cardiomyopathies With Left Ventricular Hypertrophy.

Keitaro Akita, Mathew S Maurer, Albree Tower-Rader, Michael A Fifer, Yuichi J Shimada

Abstract readMulticenter Study
In one paragraph

Article in Circulation. Heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Keitaro AkitaDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY (K.A., M.S.M., Y.J.S.).ORCID 0000-0001-5395-1887
Mathew S MaurerDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY (K.A., M.S.M., Y.J.S.).ORCID 0000-0001-5400-5008
Albree Tower-RaderCardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (A.T.-R., M.A.F.).ORCID 0000-0001-7242-0774
Michael A FiferCardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (A.T.-R., M.A.F.).ORCID 0000-0002-8363-445X
Yuichi J ShimadaDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY (K.A., M.S.M., Y.J.S.).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

backgroundDistinguishing hypertrophic cardiomyopathy (HCM) from other cardiomyopathies with left ventricular hypertrophy (LVH), such as hypertensive LVH, transthyretin amyloid cardiomyopathy, and aortic stenosis, is sometimes challenging. Using plasma proteomics profiling, we aimed to identify circulating biomarkers and dysregulated signaling pathways specific to HCM.

methodsIn this multicenter case-control study, plasma proteomics profiling was performed in cases with HCM and controls with hypertensive LVH, transthyretin amyloid cardiomyopathy, and aortic stenosis. Two-thirds of patients enrolled earlier in each disease group were defined as the training set and the remaining one-third as the test set. Protein concentrations in HCM were compared with those in hypertensive LVH (comparison 1), transthyretin amyloid cardiomyopathy (comparison 2), and aortic stenosis (comparison 3). Candidate proteins that meet the following 2 criteria were selected: (1) higher abundance in HCM throughout all 3 comparisons or lower abundance in HCM throughout all 3 comparisons with univariable

resultsOverall, 4979 proteins in 1415 patients (HCM, n=879; hypertensive LVH, n=331; transthyretin amyloid cardiomyopathy, n=169; aortic stenosis, n=36) were analyzed. Of those, 5 proteins were selected as candidate proteins. The logistic regression model with these 5 proteins had an area under the receiver operating characteristic curve of 0.86 (95% CI, 0.82-0.89) in the test set. The MAPK (mitogen-activated protein kinase) and HIF-1 (hypoxia-inducible factor 1) pathways were dysregulated in HCM throughout the 3 comparisons.

conclusionsThis study identified circulating biomarkers that distinguish HCM from other cardiomyopathies with LVH independently from confounders and revealed signaling pathways associated with HCM.

Indexed as

CardiomyopathiesCardiomyopathy, HypertrophicHypertrophy, Left VentricularProteomicsAgedAmyloid Neuropathies, FamilialAortic Valve StenosisBiomarkersCase-Control StudiesDiagnosis, DifferentialFemaleHumansMaleMiddle AgedBiomarkersaortic valve stenosisbiomarkerscardiomyopathiescardiomyopathy, hypertrophichypertrophy, left ventricular

Identifiers

PMID39523983
PMCPMC11753946

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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.