Evidence map›Paper›PMID 27486806›Full record

ArticlePloS one2016

New Biochemical Insights into the Mechanisms of Pulmonary Arterial Hypertension in Humans.

Renata Bujak, Jesús Mateo, Isabel Blanco, José Luis Izquierdo-García, Danuta Dudzik, Michał J Markuszewski, Victor Ivo Peinado, Martín Laclaustra, Joan Albert Barberá, Coral Barbas and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  20. The altered human serum metabolome induced by a marathon.Metabolomics : Official journal of the Metabolomic Society · 2018
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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

11 authors at 5 institutions in 2 countries.

Renata BujakCentre of Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Monteprincipe, Boadilla del Monte, Madrid, Spain.
Jesús MateoCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Isabel BlancoHospital Clinic Barcelona-IDIBAPS, Barcelona, Spain.
José Luis Izquierdo-GarcíaCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Danuta DudzikCentre of Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Monteprincipe, Boadilla del Monte, Madrid, Spain.
Michał J MarkuszewskiDepartment of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Al. Gen. J. Hallera 107, 80-416, Gdańsk, Poland.
Victor Ivo PeinadoHospital Clinic Barcelona-IDIBAPS, Barcelona, Spain.
Martín LaclaustraCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Joan Albert BarberáHospital Clinic Barcelona-IDIBAPS, Barcelona, Spain.
Coral BarbasCentre of Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Monteprincipe, Boadilla del Monte, Madrid, Spain.
Jesús Ruiz-CabelloCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0001-8681-5056
Centro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESSpanish National Centre for Cardiovascular Research · ESUniversidad San Pablo CEU · ESGdańsk Medical University · PLUniversidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of pulmonary arterial hypertension (PAH) is difficult due to the lack of specific clinical symptoms and biomarkers, especially at early stages. We compared plasma metabolic fingerprints of PAH patients (n = 20) with matched healthy volunteers (n = 20) using, for the first time, untargeted multiplatform metabolomics approach consisting of high-performance liquid and gas chromatography coupled with mass spectrometry. Multivariate statistical analyses were performed to select metabolites that contribute most to groups' classification (21 from liquid in both ionization modes and 9 from gas chromatography-mass spectrometry). We found metabolites related to energy imbalance, such as glycolysis-derived metabolites, as well as metabolites involved in fatty acid, lipid and amino acid metabolism. We observed statistically significant changes in threitol and aminomalonic acid in PAH patients, which could provide new biochemical insights into the pathogenesis of the disease. The results were externally validated on independent case and control cohorts, confirming up to 16 metabolites as statistically significant in the validation study. Multiplatform metabolomics, followed by multivariate chemometric data analysis has a huge potential for explaining pathogenesis of PAH and for searching potential and new more specific and less invasive markers of the disease.

Indexed as

AdultBiomarkersBlood Chemical AnalysisCase-Control StudiesChromatography, High Pressure LiquidFemaleGas Chromatography-Mass SpectrometryHumansHypertension, PulmonaryMaleMetabolomicsSpainBiomarkers

Identifiers

PMID27486806
PMCPMC4972307
OpenAlexW2505549171

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.