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
Biomarker profiling by nuclear magnetic resonance spectroscopy for the prediction of all-cause mortality: an observational study of 17,345 persons
Fischer et al. PLoS Medicine 2014:11(2):e1001606
Lankinen et al. PLoS One 2014;9(2):e90352
Human genetics
Association between serum fatty acids and lipoprotein subclass profile in healthy young adults
Jelenkovic et al. Atherosclerosis 2014;233(2):394-402
Badeau et al. Annals of Medicine 2014;46(1):18-23
Auro et al. Nature Communications 2014;5:4708
Mahendran et al. Diabetes Care 2013;36(11):3732-38
Mahendran et al. Diabetes 2013;62(10):3618-26
Larmo et al. The American Journal of Clinical Nutrition 2013:98(4);941-51
Mäkinen et al. Clinical Pharmacology and Therapeutics 2013;94(5):566-69
Metabolic risk factors
Association of height and pubertal timing with lipoprotein subclass profile: exploring the role of genetic and environmental effects
Jelenkovic et al. American Journal of Human Biology 2013;25(4):465-72
Mäkinen et al. Journal of Internal Medicine 2013;273(4):383-9
Cardiovascular diseases
Lipoprotein subclass profiles in young adults born preterm at very low birth weight
Hovi et al. Lipids in Health and Disease 2013;12:57
Würtz et al. Diabetes Care 2013;36(3):648-55
Human genetics
Lipoprotein subclass profiling reveals pleiotropy in the genetic variants of lipid risk factors for coronary heart disease
Würtz et al. Journal of the American College of Cardiology 2013;62(20):1906-8
Nutrition
Association between habitual dietary intake and lipoprotein subclass profile in healthy young adults
Bogl et al. Nutrition, Metabolism, and Cardiovascular Diseases 2013;23(11):1071-8