Publications
Nightingale Health’s technology is routinely used in world-class epidemiological and genetic studies. There are over 450 publications that have utilized our technology.
All
Ageing
Bioinformatics
Cancer
Cardiovascular diseases
Drug development
Fatty liver disease
Gut microbiota
Human genetics
Kidney disease
Maternal health
Metabolic risk factors
Method description
Neurological diseases
Nutrition
T1D
T2D
Inflammation
Juonala et al. J Am Heart Assoc. 2019;16;8(14):e011852
Sarin et al. Am J Clin Nutr. 2019;110(1):233-45
Davis et al. Atherosclerosis 2019;285:93–101
Cardiovascular diseases
A third of nonfasting plasma cholesterol is in remnant lipoproteins: Lipoprotein subclass profiling in 9293 individuals
Balling et al. Atherosclerosis 2019;286:97-104
Human genetics
Genetic Determinants of Circulating Glycine Levels and Risk of Coronary Artery Disease
Jia et al. Journal of the American Heart Association 2019;8(10):e011922
van den Akker et al. BioRxiv 2019 Pre-print
Metabolic risk factors
Sex and puberty-related differences in metabolomic profiles associated with adiposity measures in youth with obesity
Saner et al. Metabolomics 2019;15(5):75
Gut microbiota
Relationship between gut microbiota and circulating metabolites in population-based cohorts
Vojinovic et al. BioRxiv 2019 Pre-print
Metabolic risk factors
Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study
Neeland et al. Journal of American Heart Association 2019;8(9):e010810.
Drug development
Metabolomic signature of angiopoietin-like protein 3 deficiency in fasting and postprandial state
Tikkanen et al. Arterioscler Thromb Vasc Biol. 2019;39:665-674
Cardiovascular diseases
Association of Triglyceride-Lowering LPL Variants and LDL-C–Lowering LDLR Variants With Risk of Coronary Heart Disease
Ference et al. JAMA. 2019;321(4):364-373
Metabolic risk factors
Metabolomics for Prediction of Relapse in Graves’ Disease: Observational Pilot Study
Struja et al, Front. Endocrinol. 2018,9:623;
Gut microbiota
Gut Microbial Associations to Plasma Metabolites Linked to Cardiovascular Phenotypes and Risk: A Cross-Sectional Study
Kurilshikov et al. Circulation Research 2019;0.
Metabolic risk factors
Resistance Training Induces Antiatherogenic Effects on Metabolomic Pathways
Sarin et al. Medicine & Science in Sports & Exercise 2019 Pre-print
Gut microbiota
GlycA, a nuclear magnetic resonance spectroscopy measure for protein glycosylation, is a viable biomarker for disease activity in IBD
Dierckx et al. JCC 2019;13(3):389–394