Evidence map›Paper›PMID 35736450›Full record

ArticleMetabolites2022

Untargeted Metabolomics Profiling Reveals Perturbations in Arginine-NO Metabolism in Middle Eastern Patients with Coronary Heart Disease.

Ehsan Ullah, Ayman El-Menyar, Khalid Kunji, Reem Elsousy, Haira R B Mokhtar, Eiman Ahmad, Maryam Al-Nesf, Alka Beotra, Mohammed Al-Maadheed, Vidya Mohamed-Ali and 2 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  5. Proteomics and Metabolomics in Biomedicine.International journal of molecular sciences · 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

12 authors at 5 institutions in 1 country.

Ehsan UllahQatar Computing Research Institute, Hamad Bin Khalifa University, Doha P.O. Box 5825, Qatar.ORCID 0000-0002-9881-6731
Ayman El-MenyarClinical Research, Trauma & Vascular Surgery, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar.
Khalid KunjiQatar Computing Research Institute, Hamad Bin Khalifa University, Doha P.O. Box 5825, Qatar.ORCID 0000-0003-2946-512X
Reem ElsousyDepartment of Cardiology, Heart Hospital, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar.
Haira R B MokhtarAnti-doping Lab Qatar, Doha P.O. Box 27775, Qatar.
Eiman AhmadAnti-doping Lab Qatar, Doha P.O. Box 27775, Qatar.
Maryam Al-NesfDepartment of Internal Medicine, Allergy and Immunology, Hamad General Hospital, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar.ORCID 0000-0001-9354-0214
Alka BeotraAnti-doping Lab Qatar, Doha P.O. Box 27775, Qatar.
Mohammed Al-MaadheedAnti-doping Lab Qatar, Doha P.O. Box 27775, Qatar.ORCID 0000-0001-5517-0128
Vidya Mohamed-AliAnti-doping Lab Qatar, Doha P.O. Box 27775, Qatar.
Mohamad SaadQatar Computing Research Institute, Hamad Bin Khalifa University, Doha P.O. Box 5825, Qatar.ORCID 0000-0001-6357-8502
Jassim Al SuwaidiDepartment of Cardiology, Heart Hospital, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar.
Anti-Doping Laboratory · QAHamad bin Khalifa University · QAHamad Medical Corporation · QAHamad General Hospital · QAWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary heart disease (CHD) is a major cause of death in Middle Eastern (ME) populations, with current studies of the metabolic fingerprints of CHD lacking in diversity. Identification of specific biomarkers to uncover potential mechanisms for developing predictive models and targeted therapies for CHD is urgently needed for the least-studied ME populations. A case-control study was carried out in a cohort of 1001 CHD patients and 2999 controls. Untargeted metabolomics was used, generating 1159 metabolites. Univariate and pathway enrichment analyses were performed to understand functional changes in CHD. A metabolite risk score (MRS) was developed to assess the predictive performance of CHD using multivariate analysis and machine learning. A total of 511 metabolites were significantly different between the CHD patients and the controls (FDR p < 0.05). The enriched pathways (FDR p < 10−300) included D-arginine and D-ornithine metabolism, glycolysis, oxidation and degradation of branched chain fatty acids, and sphingolipid metabolism. MRS showed good discriminative power between the CHD cases and the controls (AUC = 0.99). In this first study in the Middle East, known and novel circulating metabolites and metabolic pathways associated with CHD were identified. A small panel of metabolites can efficiently discriminate CHD cases and controls and therefore can be used as a diagnostic/predictive tool.

Indexed as

arginine metabolismcoronary heart diseasemetabolite risk scoremetabolomicsMiddle East

Identifiers

PMID35736450
PMCPMC9230991
OpenAlexW4282002149

What Socratic holds

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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 Socratic graph.