Evidence map›Paper›PMID 28341595›Full record

ArticleJournal of proteomics2017

Systems characterization of differential plasma metabolome perturbations following thrombotic and non-thrombotic myocardial infarction.

Patrick J Trainor, Bradford G Hill, Samantha M Carlisle, Eric C Rouchka, Shesh N Rai, Aruni Bhatnagar, Andrew P DeFilippis

Abstract read
In one paragraph

Article in Journal of proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Large-Scale Metabolomics and the Incidence of Cardiovascular Disease.Journal of the American Heart Association · 2023
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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

7 authors at 2 institutions in 1 country.

Patrick J TrainorDepartment of Medicine, Division of Cardiovascular Medicine, University of Louisville, United States; Diabetes and Obesity Center, University of Louisville, United States.
Bradford G HillDepartment of Medicine, Division of Cardiovascular Medicine, University of Louisville, United States; Diabetes and Obesity Center, University of Louisville, United States.
Samantha M CarlisleDepartment of Pharmacology and Toxicology, University of Louisville, United States.
Eric C RouchkaDepartment of Computer Engineering and Computer Science, University of Louisville, United States.
Shesh N RaiDepartment of Bioinformatics and Biostatistics, University of Louisville, United States.
Aruni BhatnagarDepartment of Medicine, Division of Cardiovascular Medicine, University of Louisville, United States; Diabetes and Obesity Center, University of Louisville, United States.
Andrew P DeFilippisDepartment of Medicine, Division of Cardiovascular Medicine, University of Louisville, United States; Diabetes and Obesity Center, University of Louisville, United States; KentuckyOne/Jewish Hospital, United States; Johns Hopkins University, United States. Electronic address: APDeFi01@louisville.edu.
University of Louisville · USJohns Hopkins University · US

Funding

WKU Lead Faculty AwardP20GM103436 · NIGMS · UNIVERSITY OF LOUISVILLE · PI ERIC C ROUCHKA · 2012 to 2026
$60.1M
Project 5 - Metabolomic Analysis of AtherothrombosisP20GM103492 · NIGMS · UNIVERSITY OF LOUISVILLE · PI DEFILIPPIS, ANDREW · 2012 to 2017
$13.8M
Metabolic optimization of cell therapyR01HL130174 · NHLBI · UNIVERSITY OF LOUISVILLE · PI HILL, BRADFORD GUY · 2016 to 2020
$1.9M
Metabolic regulation of cardiac stem cellsR56HL122580 · NHLBI · UNIVERSITY OF LOUISVILLE · PI HILL, BRADFORD GUY · 2015 to 2015
$381k
NHLBI NIH HHS R01 HL130174NHLBI NIH HHS R56 HL122580NIGMS NIH HHS P20 GM103436NIGMS NIH HHS P20 GM103492
6 · The paper itself

Abstract

Myocardial infarction (MI) is an acute event characterized by myocardial necrosis. Thrombotic MI is caused by spontaneous atherosclerotic plaque disruption that results in a coronary thrombus; non-thrombotic MI occurs secondary to oxygen supply-demand mismatch. We sought to characterize the differential metabolic perturbations associated with these subtypes utilizing a systems approach. Subjects presenting with thrombotic MI, non-thrombotic MI and stable coronary artery disease (CAD) were included. Whole blood was collected at two acute time-points and at a time-point representing the quiescent stable disease state. Plasma metabolites were analyzed by untargeted UPLC-MS/MS and GC-MS. A weighted network was constructed, and modules were determined from the resulting topology. To determine perturbed modules, an enrichment analysis for metabolites that demonstrated between-group differences in temporal change across the disease state transition was then conducted. BIOLOGICAL SIGNIFICANCE: We report evidence of metabolic perturbations of acute MI and determine perturbations specific to thrombotic MI. Specifically, a module characterized by elevated glucocorticoid steroid metabolites following acute MI showed greatest perturbation following thrombotic MI. Modules characterized by elevated pregnenolone metabolites, monoacylglycerols, and acylcarnitines were perturbed following acute MI. A module characterized by a decrease in plasma amino acids following thrombotic MI was differentially perturbed between MI subtypes.

Indexed as

HypoxiaMetabolomeOxygen ConsumptionAdultAgedBloodCarnitineCoronary ThrombosisFemaleGas Chromatography-Mass SpectrometryGlucocorticoidsHumansMaleMetabolomicsMiddle AgedMonoglyceridesacylcarnitineCarnitineGlucocorticoidsMonoglyceridesPregnenoloneCoronary artery diseaseMetabolomicsMyocardial infarctionNetwork analysisSystems biology

Identifiers

PMID28341595
PMCPMC5496773
OpenAlexW2600163318

What OpenQuestion holds

Textmetadata
LicenceTDM
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.