Evidence map›Paper›PMID 36875009›Full record

ArticleJACC. Advances2023

Interstage Single Ventricle Heart Disease Infants Show Dysregulation in Multiple Metabolic Pathways: Targeted Metabolomics Analysis.

Benjamin S Frank, Ludmila Khailova, Jonathan Dekermanjian, Max B Mitchell, Gareth J Morgan, Mark Twite, Uwe Christians, Michael V DiMaria, Jelena Klawitter, Jesse A Davidson

Open access · diamondAbstract read
In one paragraph

Article in JACC. Advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Benjamin S FrankSection of Cardiology, Department of Pediatrics, University of Colorado, Aurora, Colorado, USA.
Ludmila KhailovaSection of Cardiology, Department of Pediatrics, University of Colorado, Aurora, Colorado, USA.
Jonathan DekermanjianCenter for Innovative Design and Analysis, University of Colorado, Aurora, Colorado, USA.
Max B MitchellDepartment of Surgery, University of Colorado, Aurora, Colorado, USA.
Gareth J MorganSection of Cardiology, Department of Pediatrics, University of Colorado, Aurora, Colorado, USA.
Mark TwiteDepartment of Anesthesiology, University of Colorado, Aurora, Colorado, USA.
Uwe ChristiansDepartment of Anesthesiology, University of Colorado, Aurora, Colorado, USA.
Michael V DiMariaSection of Cardiology, Department of Pediatrics, University of Colorado, Aurora, Colorado, USA.
Jelena KlawitterDepartment of Anesthesiology, University of Colorado, Aurora, Colorado, USA.
Jesse A DavidsonSection of Cardiology, Department of Pediatrics, University of Colorado, Aurora, Colorado, USA.
University of Colorado Anschutz Medical Campus · USUniversity of Colorado Denver · US

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Alkaline Phosphatase in Infant Cardiopulmonary Bypass: Kinetics and RelationshipK23HL123634 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI DAVIDSON, JESSE · 2014 to 2018
$826k
Pulmonary Vascular Development in Single Ventricle Heart Disease: A Longitudinal Biomarker ApproachK23HL163490 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Benjamin S Frank · 2023 to 2026
$745k
American Heart Association-American Stroke Association 18IPA34170070American Heart Association-American Stroke Association 20CDA35310498NCATS NIH HHS UL1 TR001082NHLBI NIH HHS K23 HL123634NHLBI NIH HHS K23 HL163490
6 · The paper itself

Abstract

backgroundInfants with SVHD experience morbidity related to pulmonary vascular inadequacy. Metabolomic analysis involves a systems biology approach to identifying novel biomarkers and pathways in complex diseases. The metabolome of infants with SVHD is not well understood and no prior study has evaluated the relationship between serum metabolite patterns and pulmonary vascular readiness for staged SVHD palliation.

objectivesThe purpose of this study was to evaluate the circulating metabolome of interstage infants with single ventricle heart disease (SVHD) and determine whether metabolite levels were associated with pulmonary vascular inadequacy.

methodsThis was a prospective cohort study of 52 infants with SVHD undergoing Stage 2 palliation and 48 healthy infants. Targeted metabolomic phenotyping (175 metabolites) was performed by tandem mass spectrometry on SVHD pre-Stage 2, post-Stage 2, and control serum samples. Clinical variables were extracted from the medical record.

resultsRandom forest analysis readily distinguished between cases and controls and preoperative and postoperative samples. Seventy-four of 175 metabolites differed between SVHD and controls. Twenty-seven of 39 metabolic pathways were altered including pentose phosphate and arginine metabolism. Seventy-one metabolites differed in SVHD patients between timepoints. Thirty-three of 39 pathways were altered postoperatively including arginine and tryptophan metabolism. We found trends toward increased preoperative methionine metabolites in patients with higher pulmonary vascular resistance and higher postoperative tryptophan metabolites in patients with greater postoperative hypoxemia.

conclusionsThe circulating metabolome of interstage SVHD infants differs significantly from controls and is further disrupted after Stage 2. Several metabolites showed trends toward association with adverse outcomes. Metabolic dysregulation may be an important factor in early SVHD pathobiology.

Indexed as

argininecongenital heart diseaseGlenn operationmethioninepulmonary hypertensiontryptophan

Identifiers

PMID36875009
PMCPMC9979841
OpenAlexW4318269911

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.