- Home
- Publications
- Publication Search
- Publication Details
Title
A plasma lipid signature predicts incident coronary artery disease
Authors
Keywords
Lipidome, Lipidomics, Coronary artery disease
Journal
INTERNATIONAL JOURNAL OF CARDIOLOGY
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-02-05
DOI
10.1016/j.ijcard.2021.01.059
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The metabolites urobilin and sphingomyelin (30:1) are associated with incident heart failure in the general population
- (2019) Markus Stenemo et al. ESC Heart Failure
- Purine metabolites and carnitine biosynthesis intermediates are novel biomarkers for incident type 2 diabetes
- (2019) Filip Ottosson et al. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
- Genetic architecture of human plasma lipidome and its link to cardiovascular disease
- (2019) Rubina Tabassum et al. Nature Communications
- Machine learning of human plasma lipidomes for obesity estimation in a large population cohort
- (2019) Mathias J. Gerl et al. PLOS BIOLOGY
- Plasma Lipidome and Prediction of Type 2 Diabetes in the Population-Based Malmö Diet and Cancer Cohort
- (2019) Céline Fernandez et al. DIABETES CARE
- Machine learning reveals serum sphingolipids as cholesterol-independent biomarkers of coronary artery disease
- (2019) Annelise M. Poss et al. JOURNAL OF CLINICAL INVESTIGATION
- Plasma lipidome patterns associated with cardiovascular risk in the PREDIMED trial: A case-cohort study
- (2018) Cristina Razquin et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- Characterization of the role of sphingomyelin synthase 2 in glucose metabolism in whole-body and peripheral tissues in mice
- (2016) Masayuki Sugimoto et al. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR AND CELL BIOLOGY OF LIPIDS
- Non-targeted metabolomics combined with genetic analyses identifies bile acid synthesis and phospholipid metabolism as being associated with incident type 2 diabetes
- (2016) Tove Fall et al. DIABETOLOGIA
- The SwissLipids knowledgebase for lipid biology
- (2015) Lucila Aimo et al. BIOINFORMATICS
- An automated shotgun lipidomics platform for high throughput, comprehensive, and quantitative analysis of blood plasma intact lipids
- (2015) Michal A. Surma et al. EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY
- Analysis of the Human Adult Urinary Metabolome Variations with Age, Body Mass Index, and Gender by Implementing a Comprehensive Workflow for Univariate and OPLS Statistical Analyses
- (2015) Etienne A. Thévenot et al. JOURNAL OF PROTEOME RESEARCH
- Lipidomics Profiling and Risk of Cardiovascular Disease in the Prospective Population-Based Bruneck Study
- (2014) Christin Stegemann et al. CIRCULATION
- The role of hepatic lipids in hepatic insulin resistance and type 2 diabetes
- (2014) Rachel J. Perry et al. NATURE
- Plasma Lipid Composition and Risk of Developing Cardiovascular Disease
- (2013) Celine Fernandez et al. PLoS One
- LipidXplorer: A Software for Consensual Cross-Platform Lipidomics
- (2012) Ronny Herzog et al. PLoS One
- Plasma Lipidomic Analysis of Stable and Unstable Coronary Artery Disease
- (2011) Peter J. Meikle et al. ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY
- MissForest--non-parametric missing value imputation for mixed-type data
- (2011) D. J. Stekhoven et al. BIOINFORMATICS
- External review and validation of the Swedish national inpatient register
- (2011) Jonas F Ludvigsson et al. BMC PUBLIC HEALTH
- Reducing Plasma Membrane Sphingomyelin Increases Insulin Sensitivity
- (2011) Z. Li et al. MOLECULAR AND CELLULAR BIOLOGY
- The Human Plasma Lipidome
- (2011) Oswald Quehenberger et al. NEW ENGLAND JOURNAL OF MEDICINE
- Selective Reduction in the Sphingomyelin Content of Atherogenic Lipoproteins Inhibits Their Retention in Murine Aortas and the Subsequent Development of Atherosclerosis
- (2010) Yifan Fan et al. ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY
- Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials
- (2010) Naveed Sattar et al. LANCET
- Lipidomics: coming to grips with lipid diversity
- (2010) Andrej Shevchenko et al. NATURE REVIEWS MOLECULAR CELL BIOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started