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
Maternal health
Metabolic profiling of polycystic ovary syndrome reveals interactions with abdominal obesity
Couto et al. International Journal of Obesity 2017;41:1331–40
Bioinformatics
Multiple Output Regression with Latent Noise
Gillberg et al. Journal of Machine Learning Research 2016;17(1):4170-204
Valcárcel et al. Journal of the Royal Society Interface 2014;11(94):20130908
White et al. Diabetologia 2017;60(10):1903-12
Kidney disease
Sphingomyelin is associated with kidney disease in type 1 diabetes (The FinnDiane Study)
Mäkinen et al. Metabolomics 2012;8(3):369-75
Herzig et al. Scientific reports 2017;7:11267
Menni et al. Scientific Reports 2017;7:11079
Human genetics
An interaction map of circulating metabolites, immune gene networks, and their genetic regulation
Nath et al. Genome Biology 2017;18(1):146
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