Evidence map›Paper›PMID 26540294›Full record

ArticlePLoS genetics2015

Metabolomic Quantitative Trait Loci (mQTL) Mapping Implicates the Ubiquitin Proteasome System in Cardiovascular Disease Pathogenesis.

William E Kraus, Deborah M Muoio, Robert Stevens, Damian Craig, James R Bain, Elizabeth Grass, Carol Haynes, Lydia Kwee, Xuejun Qin, Dorothy H Slentz and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Metabolic origin and significance of 3-methylglutaryl CoA.Clinica chimica acta; international journal of clinical chemistry · 2025
    Review
  9. Multiomics of Aging and Aging-Related Diseases.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Review
  12. 3-Methylglutarylcarnitine: A biomarker of mitochondrial dysfunction.Clinica chimica acta; international journal of clinical chemistry · 2023
    Review
  13. Article
  14. Role of STIM1 in the Regulation of Cardiac Energy Substrate Preference.International journal of molecular sciences · 2023
    Review
  15. Article
  16. Article
  17. Regulation of MAPK Signaling Pathways by the Large HERC Ubiquitin Ligases.International journal of molecular sciences · 2023
    Review
  18. Sex-dimorphic gene effects on survival outcomes in people with coronary artery disease.American heart journal plus : cardiology research and practice · 2022
    Article
  19. Review
  20. Article
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

16 authors at 1 institution in 1 country.

William E KrausDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, United States of America.
Deborah M MuoioDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Robert StevensDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Damian CraigDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
James R BainDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Elizabeth GrassDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Carol HaynesDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Lydia KweeDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Xuejun QinDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Dorothy H SlentzDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Deidre KruppDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Michael MuehlbauerDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Elizabeth R HauserDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Simon G GregoryDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Christopher B NewgardDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, United States of America.
Svati H ShahDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, United States of America.
Duke University · US

Funding

Role of Carnitine Acetyltransferase in Mitochondrial and Metabolic FunctionR01DK089312 · NIDDK · DUKE UNIVERSITY · PI DEBORAH M MUOIO · 2010 to 2026
$7.8M
Metabolomic Quantitative Trait Locus (mQTL) Genetic Mapping in Human CVDR01HL095987 · NHLBI · DUKE UNIVERSITY · PI SHAH, SVATI H. · 2009 to 2013
$3.4M
Genetic Mediators of Metabolic Cardiovascular Disease RiskRC2HL101621 · NHLBI · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 2009 to 2010
$3.2M
NHLBI NIH HHS HL095987NHLBI NIH HHS HL101621-01NHLBI NIH HHS R01 HL095987NHLBI NIH HHS RC2 HL101621
6 · The paper itself

Abstract

Levels of certain circulating short-chain dicarboxylacylcarnitine (SCDA), long-chain dicarboxylacylcarnitine (LCDA) and medium chain acylcarnitine (MCA) metabolites are heritable and predict cardiovascular disease (CVD) events. Little is known about the biological pathways that influence levels of most of these metabolites. Here, we analyzed genetics, epigenetics, and transcriptomics with metabolomics in samples from a large CVD cohort to identify novel genetic markers for CVD and to better understand the role of metabolites in CVD pathogenesis. Using genomewide association in the CATHGEN cohort (N = 1490), we observed associations of several metabolites with genetic loci. Our strongest findings were for SCDA metabolite levels with variants in genes that regulate components of endoplasmic reticulum (ER) stress (USP3, HERC1, STIM1, SEL1L, FBXO25, SUGT1) These findings were validated in a second cohort of CATHGEN subjects (N = 2022, combined p = 8.4x10-6-2.3x10-10). Importantly, variants in these genes independently predicted CVD events. Association of genomewide methylation profiles with SCDA metabolites identified two ER stress genes as differentially methylated (BRSK2 and HOOK2). Expression quantitative trait loci (eQTL) pathway analyses driven by gene variants and SCDA metabolites corroborated perturbations in ER stress and highlighted the ubiquitin proteasome system (UPS) arm. Moreover, culture of human kidney cells in the presence of levels of fatty acids found in individuals with cardiometabolic disease, induced accumulation of SCDA metabolites in parallel with increases in the ER stress marker BiP. Thus, our integrative strategy implicates the UPS arm of the ER stress pathway in CVD pathogenesis, and identifies novel genetic loci associated with CVD event risk.

Indexed as

MetabolomicsQuantitative Trait LociCardiovascular DiseasesCarnitineDNA MethylationEndoplasmic Reticulum StressHumansPolymorphism, Single NucleotideProteasome Endopeptidase ComplexRisk FactorsUbiquitinacylcarnitineCarnitineProteasome Endopeptidase ComplexUbiquitin

Identifiers

PMID26540294
PMCPMC4634848
OpenAlexW2146617602

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.