Evidence map›Paper›PMID 34601638›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2021

Metabolic profiles identify circulating biomarkers associated with heart failure in young single ventricle patients.

Thomas M O'Connell, David L Logsdon, Gloria Mitscher, R Mark Payne

Open access · hybridAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. NMR-based metabolomics: Where are we now and where are we going?Progress in nuclear magnetic resonance spectroscopy
    Review
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

4 authors at 1 institution in 1 country.

Thomas M O'ConnellDepartment of Otolaryngology-Head & Neck Surgery, Indiana University School of Medicine, 1300 W. Michigan St, Suite 400, Indianapolis, IN, 46202, USA. thoconne@iu.edu.ORCID http://orcid.org/0000-0003-4342-9539
David L LogsdonDepartment of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
Gloria MitscherDivision of Cardiology, and Herman B Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
R Mark PayneDivision of Cardiology, and Herman B Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
Indiana University School of Medicine

Funding

Transcriptional regulation of cardiac morphogenesisP01HL134599 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI Lei Yang · 2017 to 2026
$25.7M
Transgenic and Mechanical Loading CoreP01AG039355 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI BONEWALD, LYNDA F · 2012 to 2024
$19.3M
Resource CoreP30AR072581 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Sharon M Moe · 2017 to 2026
$8.3M
COLLAGEN CROSS-LINK STRUCTURE AND MATURATIONR15AR039355 · NIAMS · UNIVERSITY OF AKRON · PI WILSON, G EDWIN · 1988 to 1988
–
NHLBI NIH HHS P01 HL134599NIAMS NIH HHS P01AG039355NIAMS NIH HHS P30 AR072581NIA NIH HHS P01 AG039355
6 · The paper itself

Abstract

backgroundChildren and young adults with single ventricle (SV) heart disease frequently develop heart failure (HF) that is intractable and difficult to treat. Our understanding of the molecular and biochemical reasons underlying this is imperfect. Thus, there is an urgent need for biomarkers that predict outcome and provide a rational basis for treatment, and advance our understanding of the basis of HF.

objectiveWe sought to determine if a metabolomic approach would provide biochemical signatures of HF in SV children and young adults. If significant, these analytes might serve as biomarkers to predict outcome and inform on the biological mechanism(s) of HF.

methodsWe applied a multi-platform metabolomics approach composed of mass spectrometry (MS) and nuclear magnetic resonance (NMR) which yielded 495 and 26 metabolite measurements respectively. The plasma samples came from a cross-sectional set of young SV subjects, ages 2-19 years with ten control (Con) subjects and 16 SV subjects. Of the SV subjects, nine were diagnosed as congestive HF (SVHF), and 7 were not in HF. Metabolomic data were correlated with clinical status to determine if there was a signature associated with HF.

resultsThere were no differences in age, height, weight or sex between the 3 cohorts. However, statistical analysis of the metabolomic profiles using ANOVA revealed 44 metabolites with significant differences between cohorts including 41 profiled by MS and 3 by NMR. These metabolites included acylcarnitines, amino acids, and bile acids, which distinguished Con from all SV subjects. Furthermore, metabolite profiles could distinguish between SV and SVHF subjects.

conclusionThese are the first data to demonstrate a clear metabolomic signature associated with HF in children and young adults with SV. Larger studies are warranted to determine if these findings are predictive of progression to HF in time to provide intervention.

Indexed as

Heart FailureAdolescentAdultBiomarkersChildChild, PreschoolCross-Sectional StudiesHumansMetabolomeMetabolomicsYoung AdultBiomarkersBiomarkerChildrenHeart failureMetabolomicsSingle ventricle

Identifiers

PMID34601638
PMCPMC8487877
OpenAlexW3203034096

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.