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
Rundblad et al. British Journal of Nutrition 2017;117(09):1291–98
Mokkala et al. Metabolism: clinical and experimental 2017;69:43–50
Gut microbiota
Relationships between gut microbiota, plasma metabolites, and metabolic syndrome traits in the METSIM cohort
ORG ET AL. GENOME BIOLOGY 2017;18:70
Engelbrechtsen et al. Scientific reports 2017;7:43128.
Cardiovascular diseases
Effect of Metformin on Metabolites and Relation With Myocardial Infarct Size and Left Ventricular Ejection Fraction After Myocardial Infarction
Eppinga et al. Circulation. Cardiovascular genetics 2017;10(1):e001564.
Fatty liver disease
Liver Fat and Insulin Sensitivity Define Metabolite Profiles During a Glucose Tolerance Test in Young Adult Twins
Rämö et al. The Journal of Clinical Endocrinology & Metabolism 2017:102(1);220-231
Nutrition
Epigenome-wide association study for body mass index, and the adverse outcomes of adiposity
Wahl et al. Nature 2017:541(7635);81-86
Fatty liver disease
Metabolic profiling of fatty liver in young and middle-aged adults: Cross-sectional and prospective analyses of the Young Finns Study
Kaikkonen et al. Hepatology 2017;65(2):491-500
Lotta et al. PLoS Medicine 2016;13(11):e1002179
Kujala et al. Frontiers in Medicine 2016;3:57
Metabolic risk factors
Characterization of the metabolic profile associated with serum 25-hydroxyvitamin D: A cross-sectional analysis in population-based data
Vogt et al. International Journal of Epidemiology 2016;45(5):1469-81
Engelbrechtsen et al. Metabolomics 2016;12:181
Human genetics
Metabolic characterisation of a rare genetic variation within APOC3 and its lipoprotein lipase independent effects
Drenos et al. Circulation Cardiovascular Genetics 2016;9:231-39
Cardiovascular diseases
Variant rs10911021 that associates with coronary heart disease in type 2 diabetes, is associated with lower concentrations of circulating HDL cholesterol and large HDL particles but not with amino acids
Beaney et al. Cardiovascular Diabetology 2016;15(1):115
Drug development
Effects of Hormonal Contraception on Systemic Metabolism: Cross-Sectional and Longitudinal Evidence
Wang et al. International Journal of Epidemiology 2016;45(5):1445-1457