Evidence map›Paper›PMID 34404929›Full record

ArticlePediatric research2022

Pediatric and adult dilated cardiomyopathy are distinguished by distinct biomarker profiles.

Melanie R F Gropler, Steven E Lipshultz, James D Wilkinson, Jeffrey A Towbin, Steven D Colan, Charles E Canter, Kory J Lavine, Kathleen E Simpson

Abstract read
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In one paragraph

Article in Pediatric research, 2022. 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
0.5field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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  3. Observational
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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

8 authors at 6 institutions in 1 country.

Melanie R F GroplerDivision of Pediatric Cardiology, Department of Pediatrics, University of Colorado Anschutz Medical center, Aurora, CO, USA.
Steven E LipshultzDepartment of Pediatrics, University of Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
James D WilkinsonDepartment of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Jeffrey A TowbinDivision of Pediatric Cardiology, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, USA.
Steven D ColanDepartment of Pediatric Cardiology, Boston Children's Hospital, Boston, MA, USA.
Charles E CanterDivision of Pediatric Cardiology, Department of Pediatrics, Washington University School of Medicine, Saint Louis, MO, USA.
Kory J Lavine *Division of Cardiology, Department of Medicine, Center for Cardiovascular Research, Washington University School of Medicine, Saint Louis, MO, USA.
Kathleen E Simpson *Division of Pediatric Cardiology, Department of Pediatrics, University of Colorado Anschutz Medical center, Aurora, CO, USA. kathleen.simpson@childrenscolorado.org.
University of Colorado Anschutz Medical Campus · USWashington University in St. Louis · USBoston Children's Hospital · USJacobs Institute · USUniversity of Tennessee Health Science Center · USVanderbilt University · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
MACROPHAGE HETEROGENEITY IN HEART FAILURE PROGRESSION AND CARDIAC RECOVERYR01HL138466 · NHLBI · WASHINGTON UNIVERSITY · PI LAVINE, KORY J. · 2017 to 2021
$1.9M
MACROPHAGE ONTOGENY SHIFTS IN ISCHEMIC HEART DISEASER01HL139714 · NHLBI · WASHINGTON UNIVERSITY · PI LAVINE, KORY J. · 2018 to 2021
$1.5M
NCATS NIH HHS UL1 TR000448NHLBI NIH HHS R01 HL138466NHLBI NIH HHS R01 HL139714
6 · The paper itself

Abstract

backgroundEmerging evidence suggests that pediatric and adult dilated cardiomyopathy (DCM) represent distinct diseases. Few diagnostic tools exist for pediatric cardiologists to assess clinical status and prognosis. We hypothesized that pediatric DCM would have a unique biomarker profile compared to adult DCM and controls.

methodsWe utilized a DNA aptamer array (SOMAScan) to compare biomarker profiles between pediatric and adult DCM. We simultaneously measured 1310 plasma proteins and peptides from 39 healthy children (mean age 3 years, interquartile range (IQR) 1-14), 39 ambulatory subjects with pediatric DCM (mean age 2.7 years, IQR 1-13), and 40 ambulatory adults with DCM (mean age 53 years, IQR 46-63).

resultsPediatric and adult DCM patients displayed distinct biomarker profiles, despite similar clinical characteristics. We identified 20 plasma peptides and proteins that were increased in pediatric DCM compared to age- and sex-matched controls. Unbiased multidimensionality reduction analysis suggested previously unrecognized heterogeneity among pediatric DCM subjects. Biomarker profile analysis identified four subgroups of pediatric DCM with distinguishing clinical characteristics.

conclusionsThese findings support the emerging concept that pediatric and adult DCM are distinct disease entities, signify the need to develop pediatric-specific biomarkers for disease prognostication, and challenge the paradigm that pediatric DCM should be viewed as a single disease. IMPACT: Pediatric and adult DCM patients displayed distinct biomarker profiles, despite similar clinical characteristics and outcomes. Our findings suggest that pediatric DCM may be a heterogeneous disease with various sub-phenotypes, including differing biomarker profiles and clinical findings. These data provide prerequisite information for future prospective studies that validate the identified pediatric DCM biomarkers, address their diagnostic accuracy and prognostic significance, and explore the full extent of heterogeneity amongst pediatric DCM patients.

Indexed as

Cardiomyopathy, DilatedBiomarkersHumansPhenotypeProspective StudiesBiomarkers

Identifiers

PMID34404929
OpenAlexW3195522376

What OpenQuestion holds

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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.