Metabolomic Quantitative Trait Loci (mQTL) Mapping Implicates the Ubiquitin Proteasome System in Cardiovascular Disease Pathogenesis.
dc.contributor.author | Kraus, William E | |
dc.contributor.author | Muoio, Deborah M | |
dc.contributor.author | Stevens, Robert | |
dc.contributor.author | Craig, Damian | |
dc.contributor.author | Bain, James R | |
dc.contributor.author | Grass, Elizabeth | |
dc.contributor.author | Haynes, Carol | |
dc.contributor.author | Kwee, Lydia | |
dc.contributor.author | Qin, Xuejun | |
dc.contributor.author | Slentz, Dorothy H | |
dc.contributor.author | Krupp, Deidre | |
dc.contributor.author | Muehlbauer, Michael | |
dc.contributor.author | Hauser, Elizabeth R | |
dc.contributor.author | Gregory, Simon G | |
dc.contributor.author | Newgard, Christopher B | |
dc.contributor.author | Shah, Svati H | |
dc.contributor.editor | Lusis, Aldons J | |
dc.coverage.spatial | United States | |
dc.date.accessioned | 2015-12-03T14:24:33Z | |
dc.date.issued | 2015-11 | |
dc.description.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. | |
dc.identifier | ||
dc.identifier | PGENETICS-D-15-00625 | |
dc.identifier.eissn | 1553-7404 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Public Library of Science (PLoS) | |
dc.relation.ispartof | PLoS Genet | |
dc.relation.isversionof | 10.1371/journal.pgen.1005553 | |
dc.subject | Cardiovascular Diseases | |
dc.subject | Carnitine | |
dc.subject | DNA Methylation | |
dc.subject | Endoplasmic Reticulum Stress | |
dc.subject | Humans | |
dc.subject | Metabolomics | |
dc.subject | Polymorphism, Single Nucleotide | |
dc.subject | Proteasome Endopeptidase Complex | |
dc.subject | Quantitative Trait Loci | |
dc.subject | Risk Factors | |
dc.subject | Ubiquitin | |
dc.title | Metabolomic Quantitative Trait Loci (mQTL) Mapping Implicates the Ubiquitin Proteasome System in Cardiovascular Disease Pathogenesis. | |
dc.type | Journal article | |
duke.contributor.orcid | Kraus, William E|0000-0003-1930-9684 | |
duke.contributor.orcid | Muoio, Deborah M|0000-0003-3760-9277 | |
duke.contributor.orcid | Bain, James R|0000-0002-8917-9187 | |
duke.contributor.orcid | Kwee, Lydia|0000-0002-6997-8571 | |
duke.contributor.orcid | Hauser, Elizabeth R|0000-0003-0367-9189 | |
duke.contributor.orcid | Gregory, Simon G|0000-0002-7805-1743 | |
duke.contributor.orcid | Shah, Svati H|0000-0002-3495-2830 | |
pubs.author-url | ||
pubs.begin-page | e1005553 | |
pubs.issue | 11 | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | Biochemistry | |
pubs.organisational-group | Biomedical Engineering | |
pubs.organisational-group | Biostatistics & Bioinformatics | |
pubs.organisational-group | Center for the Study of Aging and Human Development | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Duke Cancer Institute | |
pubs.organisational-group | Duke Clinical Research Institute | |
pubs.organisational-group | Duke Molecular Physiology Institute | |
pubs.organisational-group | Global Health Institute | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Medicine | |
pubs.organisational-group | Medicine, Cardiology | |
pubs.organisational-group | Medicine, Endocrinology, Metabolism, and Nutrition | |
pubs.organisational-group | Molecular Genetics and Microbiology | |
pubs.organisational-group | Neurology | |
pubs.organisational-group | Neurology, MS & Neuroimmunology | |
pubs.organisational-group | Pharmacology & Cancer Biology | |
pubs.organisational-group | Pratt School of Engineering | |
pubs.organisational-group | Sarah Stedman Nutrition & Metabolism Center | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | School of Nursing | |
pubs.organisational-group | School of Nursing - Secondary Group | |
pubs.organisational-group | University Institutes and Centers | |
pubs.publication-status | Published online | |
pubs.volume | 11 |
Files
Original bundle
- Name:
- Metabolomic Quantitative Trait Loci (mQTL) Mapping Implicates the Ubiquitin Proteasome System in Cardiovascular Disease Pathogenesis.pdf
- Size:
- 2.66 MB
- Format:
- Adobe Portable Document Format