Evidence map›Paper›PMID 34436466›Full record

ArticleMetabolites2021

Metabolomic Profiling of Adults with Congenital Heart Disease.

Ari Cedars, Cedric Manlhiot, Jong-Mi Ko, Teodoro Bottiglieri, Erland Arning, Angela Weingarten, Alexander Opotowsky, Shelby Kutty

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Identification of metabolomic profile related to adult Fontan pathophysiology.International journal of cardiology. Heart & vasculature · 2021
    Article
  13. Article
  14. Article
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 4 institutions in 1 country.

Ari CedarsDepartment of Pediatrics, Johns Hopkins University, Baltimore, MD 21218, USA.
Cedric ManlhiotDepartment of Pediatrics, Johns Hopkins University, Baltimore, MD 21218, USA.
Jong-Mi KoDepartment of Pediatrics, Johns Hopkins University, Baltimore, MD 21218, USA.
Teodoro BottiglieriCenter of Metabolomics, Baylor Scott & White Research Institute, Dallas, TX 75204, USA.ORCID 0000-0002-4199-7551
Erland ArningCenter of Metabolomics, Baylor Scott & White Research Institute, Dallas, TX 75204, USA.
Angela WeingartenDepartment of Medicine, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0001-5712-6470
Alexander OpotowskyDepartment of Cardiology, Cincinnati Children's Hospital, Cincinnati, OH 45229, USA.
Shelby KuttyDepartment of Pediatrics, Johns Hopkins University, Baltimore, MD 21218, USA.
Johns Hopkins University · USBaylor Scott & White Health · USCincinnati Children's Hospital Medical Center · USVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomic analysis may provide an integrated assessment in genetically and pathologically heterogeneous populations. We used metabolomic analysis to gain mechanistic insight into the small and diverse population of adults with congenital heart disease (ACHD). Consecutive ACHD patients seen at a single institution were enrolled. Clinical variables and whole blood were collected at regular clinical visits. Stored plasma samples were analyzed for the concentrations of 674 metabolites and metabolic markers using mass spectrometry with internal standards. These samples were compared to 28 simultaneously assessed healthy non-ACHD controls. Principal component analysis and multivariable regression modeling were used to identify metabolites associated with clinical outcomes in ACHD. Plasma from ACHD and healthy control patients differed in the concentrations of multiple metabolites. Differences between control and ACHD were greater in number and in degree than those between ACHD anatomic groups. A metabolite cluster containing amino acids and metabolites of amino acids correlated with negative clinical outcomes across all anatomic groups. Metabolites in the arginine metabolic pathway, betaine, dehydroepiandrosterone, cystine, 1-methylhistidine, serotonin and bile acids were associated with specific clinical outcomes. Metabolic markers of disease may both be useful as biomarkers for disease activity and suggest etiologically related pathways as possible targets for disease-modifying intervention.

Indexed as

adult congenital heart diseasebiomarkersmetabolomic analysis

Identifiers

PMID34436466
PMCPMC8398700
OpenAlexW3192271959

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.