Evidence map›Paper›PMID 26317340›Full record

ArticlePloS one2015

A Biochemical Approach to Understand the Pathogenesis of Advanced Pulmonary Arterial Hypertension: Metabolomic Profiles of Arginine, Sphingosine-1-Phosphate, and Heme of Human Lung.

Yidan D Zhao, Lei Chu, Kathleen Lin, Elise Granton, Li Yin, Jenny Peng, Michael Hsin, Licun Wu, Amy Yu, Thomas Waddell and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 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

13 authors at 2 institutions in 1 country.

Yidan D ZhaoLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Lei ChuLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Kathleen LinLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Elise GrantonLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Li YinLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Jenny PengLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Michael HsinLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Licun WuLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Amy YuLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Thomas WaddellLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Shaf KeshavjeeLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
John GrantonClinical Studies Resource Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Marc de PerrotLatner Thoracic Surgery Research Laboratories and Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
University of Toronto · CAUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary arterial hypertension (PAH) is a vascular disease characterized by persistent precapillary pulmonary hypertension (PH), leading to progressive right heart failure and premature death. The pathological mechanisms underlying this condition remain elusive. Analysis of global metabolomics from lung tissue of patients with PAH (n = 8) and control lung tissue (n = 8) leads to a better understanding of disease progression. Using a combination of high-throughput liquid-and-gas-chromatography-based mass spectrometry, we showed unbiased metabolomic profiles of disrupted arginine pathways with increased Nitric oxide (NO) and decreased arginine. Our results also showed specific metabolic pathways and genetic profiles with increased Sphingosine-1-phosphate (S1P) metabolites as well as increased Heme metabolites with altered oxidative pathways in the advanced stage of the human PAH lung. The results suggest that PAH has specific metabolic pathways contributing to the vascular remodeling in severe pulmonary hypertension. Profiling metabolomic alterations of the PAH lung has provided a new understanding of the pathogenic mechanisms of PAH, which benefits therapeutic targeting to specific metabolic pathways involved in the progression of PAH.

Indexed as

AdultArginineFemaleHemeHumansHypertension, PulmonaryLungLysophospholipidsMaleMetabolic Networks and PathwaysMetabolomicsMiddle AgedNitric OxideSphingosineVascular RemodelingArginineHemeLysophospholipidsNitric OxideSphingosinesphingosine 1-phosphate

Identifiers

PMID26317340
PMCPMC4552732
OpenAlexW1902468294

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.