Publications
Nightingale’s technology is routinely used in world-class epidemiological and genetic studies. There are over 350 publications that have utilized our technology. If you are interested in using our technology for medical research, visit our website for researchers here.
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
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
Metabolic risk factors
A Metabolic Screen in Adolescents Reveals an Association Between Circulating Citrate and Cortical Bone Mineral Density
Kemp et al. J Bone Miner Res. 2019;18:e3697.
Metabolic risk factors
Substantial fat mass loss reduces low-grade inflammation and induces positive alteration in cardiometabolic factors in normal-weight individuals
Sarin et al. Scientific Reports 2019;9:3450
Drug development
Mendelian Randomization Study of ACLY and Cardiovascular Disease
Ference et al. N Engl J Med 2019;380:1033-1042
Lea et al. eLife 2019;8:e40538.
Metabolic risk factors
Increased High-Density Lipoprotein Levels Associated with Age-Related Macular Degeneration
Colijn et al. Ophthalmology 2019;126(3):393-406
Metabolic risk factors
Inflammation and hearing status in mid-childhood and mid-life: a population-based cross-sectional study
Wang et al. Int J Epidemiol. 2019 Pre-print
Michielsen et al. Mol Nutr Food Res. 2019;63(9):e1801095
Cardiovascular diseases
Coronary artery disease, genetic risk and the metabolome in young individuals
Battram et al. Wellcome Open Res 2019;3:114
Metabolic risk factors
Glycoprotein acetyls GlycA) at 12 months are associated with high-sensitivity C-reactive protein and early life inflammatory immune measures
Collier et al. Pediatr Res. 2019;85:584–85