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
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
Nutrition
The effect of standardized food intake on the association between BMI and 1H-NMR metabolites.
Schutte et al. Scientific reports 2016;6:38980
Metabolic risk factors
Metabolic Profiling of Pregnancy: Cross-sectional and Longitudinal Evidence
Wang et al. BMC Medicine 2016;14:205
Cardiovascular diseases
Serum amino acid profiles in childhood predict triglyceride level in adulthood: A 7-year longitudinal study in girls
Wiklund et al. The Journal of Clinical Endocrinology & Metabolism 2016;101(5):2047-55
Metabolic risk factors
Prolonged sleep restriction induces changes in pathways involved in cholesterol metabolism and inflammatory responses
Aho et al. Scientific Reports 2016;6:24828
Drug development
Metabolic Characterization of a Rare Genetic Variation Within APOC3 and Its Lipoprotein Lipase–Independent Effects
Drenos et al. Circulation Cardiovascular Genetics 2016;9:231-39
Metabolic risk factors
Metabolic signatures of birth weight in 18288 adolescents and adults
Würtz et al. International Journal of Epidemiology 2016;45(5):1539-50
Würtz et al. Journal of the American College of Cardiology 2016;67(10):1200-10
Human genetics
Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA
Kettunen et al. Nature Communications 2016:7:11122