A plasma lipid signature predicts incident coronary artery disease

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