Evidence map›Paper›PMID 36684605›Full record

ArticleFrontiers in cardiovascular medicine2022

Bayesian network analysis of panomic biological big data identifies the importance of triglyceride-rich LDL in atherosclerosis development.

Szilard Voros, Aruna T Bansal, Michael R Barnes, Jagat Narula, Pal Maurovich-Horvat, Gustavo Vazquez, Idean B Marvasty, Bradley O Brown, Isaac D Voros, William Harris and 12 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01738828 (Genetic Loci and the Burden of Atherosclerotic Lesions), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 16% 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.

NCT01738828 unknown statusnot on this map

Genetic Loci and the Burden of Atherosclerotic Lesions

TypeobservationalSponsorGlobal Genomics Group, LLCRan2012 to 2016Enrolled10,000ConditionsCoronary Artery Disease
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
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  3. Review
  4. Review
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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

22 authors at 6 institutions in 2 countries.

Szilard VorosGlobal Genomics Group, Atlanta, GA, United States.
Aruna T BansalAcclarogen, Ltd, Cambridge, United Kingdom.
Michael R BarnesAcclarogen, Ltd, Cambridge, United Kingdom.
Jagat NarulaMount Sinai School of Medicine, New York, NY, United States.
Pal Maurovich-HorvatMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Gustavo VazquezGlobal Institute for Research, LLC, Richmond, VA, United States.
Idean B MarvastyGlobal Genomics Group, Atlanta, GA, United States.
Bradley O BrownGlobal Genomics Group, Atlanta, GA, United States.
Isaac D VorosGlobal Genomics Group, Atlanta, GA, United States.
William HarrisOmegaQuant, Sioux Falls, SD, United States.
Viktor VorosGlobal Genomics Group, Atlanta, GA, United States.
Thomas DayspringGlobal Institute for Research, LLC, Richmond, VA, United States.
David NeffGlobal Genomics Group, Atlanta, GA, United States.
Alex GreenfieldGNS Healthcare, Somerville, MA, United States.
Leon FurchtgottGNS Healthcare, Somerville, MA, United States.
Bruce ChurchGNS Healthcare, Somerville, MA, United States.
Karl RungeGNS Healthcare, Somerville, MA, United States.
Iya KhalilGNS Healthcare, Somerville, MA, United States.
Boris HayeteGNS Healthcare, Somerville, MA, United States.
Diego LuceroLipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
Alan T RemaleyLipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
Roger S NewtonGlobal Genomics Group, Atlanta, GA, United States.
GNS Healthcare (United States) · USNational Institutes of Health · USIcahn School of Medicine at Mount Sinai · USSemmelweis University · HUUniversity of Pecs · HUUniversity of Sioux Falls · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: We sought to explore biomarkers of coronary atherosclerosis in an unbiased fashion. Methods: We analyzed 665 patients (mean ± SD age, 56 ± 11 years; 47% male) from the GLOBAL clinical study (NCT01738828). Cases were defined by the presence of any discernable atherosclerotic plaque based on comprehensive cardiac computed tomography (CT). De novo Bayesian networks built out of 37,000 molecular measurements and 99 conventional biomarkers per patient examined the potential causality of specific biomarkers. Results: Most highly ranked biomarkers by gradient boosting were interleukin-6, symmetric dimethylarginine, LDL-triglycerides [LDL-TG], apolipoprotein B48, palmitoleic acid, small dense LDL, alkaline phosphatase, and asymmetric dimethylarginine. In Bayesian analysis, LDL-TG was directly linked to atherosclerosis in over 95% of the ensembles. Genetic variants in the genomic region encoding hepatic lipase (LIPC) were associated with LIPC gene expression, LDL-TG levels and with atherosclerosis. Discussion: Triglyceride-rich LDL particles, which can now be routinely measured with a direct homogenous assay, may play an important role in atherosclerosis development. Clinical trial registration: GLOBAL clinical study (Genetic Loci and the Burden of Atherosclerotic Lesions); [https://clinicaltrials.gov/ct2/show/NCT01738828?term=NCT01738828&rank=1], identifier [NCT01738828].

Indexed as

Bayesian network analysiscardiovascular riskhepatic lipaseLDL-triglyceridesomicstriglyceride-rich LDL

Identifiers

PMID36684605
PMCPMC9845579
OpenAlexW4313585815

What Socratic holds

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LicenceCC BY
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Registered trials

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.