Evidence map›Paper›PMID 28535803›Full record

ArticleJournal of translational medicine2017

Blood metabolomic fingerprint is distinct in healthy coronary and in stenosing or microvascular ischemic heart disease.

Martino Deidda, Cristina Piras, Christian Cadeddu Dessalvi, Damiana Congia, Emanuela Locci, Federica Ascedu, Gianfranco De Candia, Mauro Cadeddu, Giorgio Lai, Raimondo Pirisi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 23% 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, 22 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Martino DeiddaDepartment of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy. martino.deidda@tiscali.it.ORCID 0000-0002-3725-7614
Cristina PirasDepartment of Biomedical Sciences, University of Cagliari, Monserrato, Italy.
Christian Cadeddu DessalviDepartment of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy.
Damiana CongiaCardiology Complex Unit, Azienda Osperaliera Brotzu, Cagliari, Italy.
Emanuela LocciDepartment of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy.
Federica AsceduDepartment of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy.
Gianfranco De CandiaCath Lab, Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy.
Mauro CadedduCath Lab, Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy.
Giorgio LaiCath Lab, Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy.
Raimondo PirisiCath Lab, Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy.
Luigi AtzoriDepartment of Biomedical Sciences, University of Cagliari, Monserrato, Italy.
Giuseppe MercuroDepartment of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy.
University of Cagliari · ITAzienda Ospedaliero-Universitaria Cagliari · ITAzienda Ospedaliera G. Brotzu · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe endothelium is a key variable in the pathogenesis of atherosclerosis and its complications, particularly coronary artery disease (CAD). Current evidence suggests that the endothelial status can be regarded as an integrated index of individual atherogenic and anti-atherogenic properties, and that the interaction between circulating factors and the arterial wall might be critical for atherogenesis. In organism-level investigations, a functional view is provided by metabolomics, the study of the metabolic profile of small molecules. We sought to verify whether metabolomic analysis can reveal the presence of coronary microenvironment peculiarities associated with distinct manifestations of CAD.

methodsThirty-two coronary blood samples were analyzed using

resultsApplication of an orthogonal partial least squares discriminant analysis (OPLS-DA) model to the entire dataset clearly separated the samples into 3 groups, indicating 3 distinct metabolic fingerprints. Relative to control-group members, Micro patients showed a higher content of 2-hydroxybutirate, alanine, leucine, isoleucine, and N-acetyl groups and lower levels of creatine/phosphocreatine, creatinine, and glucose, whereas SD patients showed higher levels of 3-hydroxybutirate and acetate and a lower content of 2-hydroxybutirate. Moreover, relative to SD patients, Micro patients showed higher levels of 2-hydroxybutirate, alanine, leucine, and N-acetyl groups and lower levels of 3-hydroxybutirate and acetate.

conclusionsSpecific coronary microenvironments are likely associated with distinct development and pathological expression of CAD.

Indexed as

MetabolomeMetabolomicsAgedAnthropometryCase-Control StudiesCoronary AngiographyCoronary StenosisDiscriminant AnalysisFemaleHumansLeast-Squares AnalysisMaleMicrovesselsMyocardial IschemiaProton Magnetic Resonance SpectroscopyAtherosclerosisCoronary arteryEndothelial functionMetabolomics

Identifiers

PMID28535803
PMCPMC5442646
OpenAlexW2619107561

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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.