Evidence map›Paper›PMID 37615111›Full record

ArticleArteriosclerosis, thrombosis, and vascular biology2023

Metabolomic Profiling of Cholesterol Efflux Capacity in a Multiethnic Population: Insights From MESA.

Wynn G Hunter, Alexander G Smith, Rui C Pinto, Suzanne Saldanha, Anamika Gangwar, Mandana Pahlavani, Sneha Deodhar, John Wilkins, Ambarish Pandey, David Herrington and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Arteriosclerosis, thrombosis, and vascular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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 6 institutions in 3 countries.

Wynn G Hunter *Division of Cardiology, Department of Medicine, University of Texas Southwestern School of Medicine, Dallas (W.G.H., S.S., A.G., M.P., S.D., A.P., A.R.).ORCID 0000-0003-0268-594X
Alexander G Smith *MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health (A.G.S., R.C.P., I.T.), Imperial College London, United Kingdom.
Rui C PintoMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health (A.G.S., R.C.P., I.T.), Imperial College London, United Kingdom.ORCID 0000-0002-8527-4873
Suzanne SaldanhaDivision of Cardiology, Department of Medicine, University of Texas Southwestern School of Medicine, Dallas (W.G.H., S.S., A.G., M.P., S.D., A.P., A.R.).
Anamika GangwarDivision of Cardiology, Department of Medicine, University of Texas Southwestern School of Medicine, Dallas (W.G.H., S.S., A.G., M.P., S.D., A.P., A.R.).
Mandana PahlavaniDivision of Cardiology, Department of Medicine, University of Texas Southwestern School of Medicine, Dallas (W.G.H., S.S., A.G., M.P., S.D., A.P., A.R.).
Sneha DeodharDivision of Cardiology, Department of Medicine, University of Texas Southwestern School of Medicine, Dallas (W.G.H., S.S., A.G., M.P., S.D., A.P., A.R.).
John WilkinsDivision of Cardiology, Department of Medicine, and Department of Preventive Medicine, Feinberg School of Medicine, Chicago, IL (J.W., P.G.).ORCID 0000-0002-8781-1329
Ambarish PandeyDivision of Cardiology, Department of Medicine, University of Texas Southwestern School of Medicine, Dallas (W.G.H., S.S., A.G., M.P., S.D., A.P., A.R.).ORCID 0000-0001-9651-3836
David HerringtonDepartment of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (D.H.).
Philip GreenlandDivision of Cardiology, Department of Medicine, and Department of Preventive Medicine, Feinberg School of Medicine, Chicago, IL (J.W., P.G.).ORCID 0000-0002-6327-2439
Ioanna TzoulakiMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health (A.G.S., R.C.P., I.T.), Imperial College London, United Kingdom.ORCID 0000-0002-4275-9328
Anand RohatgiDivision of Cardiology, Department of Medicine, University of Texas Southwestern School of Medicine, Dallas (W.G.H., S.S., A.G., M.P., S.D., A.P., A.R.).ORCID 0000-0003-0164-2382
The University of Texas Southwestern Medical Center · USNorthwestern University · USImperial College London · GBUK Dementia Research Institute · GBUniversity of Ioannina · GRWake Forest University · US

Funding

UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI JAY D. HORTON · 2022 to 2026
$7.4M
The Genetic and Molecular Basis of Cholesterol EffluxR01HL136724 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI ROHATGI, ANAND KUMAR · 2018 to 2022
$3.8M
Gut microbial metabolites and risk of coronary heart disease: a prospective, multiethnic, metabolomic studyR01HL149779 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI YU, DANXIA · 2020 to 2023
$3.3M
Metabolomic Signatures of CAD Associated GenotypesR01HL133932 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W, HERRINGTON, DAVID MCLEOD · 2016 to 2019
$2.5M
Mentoring Patient-Oriented Research in Deep Lipid Phenotyping for Cardiovascular DiseaseK24HL146838 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Anand Kumar Rohatgi · 2019 to 2026
$945k
Moving Beyond HDL Cholesterol, HDL Function as a Coronary Disease BiomarkerK08HL118131 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI ROHATGI, ANAND KUMAR · 2013 to 2017
$665k
Medical Research Council MR/S019669/1NHLBI NIH HHS K08 HL118131NHLBI NIH HHS K24 HL146838NHLBI NIH HHS R01 HL133932NHLBI NIH HHS R01 HL136724NHLBI NIH HHS R01 HL149779NIDDK NIH HHS P30 DK127984
6 · The paper itself

Abstract

backgroundImpaired cholesterol efflux capacity (CEC) is a novel lipid metabolism trait associated with atherosclerotic cardiovascular disease. Mechanisms underlying CEC variation are unknown. We evaluated associations of circulating metabolites with CEC to advance understanding of metabolic pathways involved in cholesterol efflux regulation.

methodsParticipants enrolled in the MESA (Multi-Ethnic Study of Atherosclerosis) who underwent nuclear magnetic resonance metabolome profiling and CEC measurement (N=3543) at baseline were included. Metabolite associations with CEC were evaluated using standard linear regression analyses. Repeated ElasticNet and multilayer perceptron regression were used to assess metabolite profile predictive performance for CEC. Features important for CEC prediction were identified using Shapley Additive Explanations values.

resultsGreater CEC was significantly associated with metabolite clusters composed of the largest-sized particle subclasses of VLDL (very-low-density lipoprotein) and HDL (high-density lipoprotein), as well as their constituent apo A

conclusionsWe identified independent associations among CEC, the largest-sized particle subclasses of VLDL and HDL, and their constituent apolipoproteins and lipids. A large proportion of variation in CEC remained unexplained by metabolites and traditional clinical risk factors, supporting further investigation into genomic, proteomic, and phospholipidomic determinants of CEC.

Indexed as

AtherosclerosisProteomicsApolipoproteins ACholesterolCholesterol, HDLHumansLipoproteins, HDLApolipoproteins ACholesterolCholesterol, HDLLipoproteins, HDLapolipoproteinscardiovascular diseasescholesterollipidslipoproteins

Identifiers

PMID37615111
PMCPMC10521786
OpenAlexW4386117307

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.