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
Metabolic risk factors
Association of leisure time physical activity and NMR-detected circulating amino acids in peripubertal girls: A 7.5-year longitudinal study
Zhang et al. Sci Rep. 2017;7(1):14026
Cardiovascular diseases
The biomarker and causal roles of homoarginine in the development of cardiometabolic diseases: an observational and Mendelian randomization analysis
Seppälä et al. Scientific Reports 2017:7(1130)
Menni et al. Obesity 2017;25(9):1618–24
Metabolic risk factors
Differential Associations of Inflammatory Markers With Insulin Sensitivity and Secretion: The Prospective METSIM Study
Fizelova et al. The Journal of Clinical Endocrinology & Metabolism 2017;102(9):3600–09
Sirniö et al. Scientific reports 2017;7(1):5374
Human genetics
CPT1A Missense Mutation Associated With Fatty Acid Metabolism and Reduced Height in Greenlanders
Skotte et al. Circulation: Cardiovascular Genetics 2017;10(3):e001618
Method description
Quantitative Serum NMR Metabolomics in Large-Scale Epidemiology: A Primer on -Omic Technology
Würtz et al. American Journal of Epidemiology 2017;186(9):1084–96
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