Publications
Nightingale’s technology is routinely used in world-class epidemiological and genetic studies. There are over 450 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
Mutter et al. Diabetologia 2022; 65, 140–149
Metabolic risk factors
Towards early risk biomarkers: serum metabolic signature in childhood predicts cardio-metabolic risk in adulthood
Ojanen et al. eBioMedicine, Volume 72, 103611
Maternal health
Cord serum metabolome and birth weight in patients with gestational diabetes treated with metformin, insulin, or diet alone.
Huhtala et al. BMJ Open Diabetes Research and Care 2021;9:e002022
Drug development
Cholesteryl ester transfer protein (CETP) as a drug target for cardiovascular disease
Schmidt et al. Nat Commun. 2021 Sep 24;12(1):5640
Metabolic risk factors
Effects of dexmedetomidine, propofol, sevoflurane and S-ketamine on the human metabolome: A randomised trial using nuclear magnetic resonance spectroscopy.
Nummela et al. European Journal of Anaesthesiology: September 15, 2021
Metabolic risk factors
Children with familial hypercholesterolemia display changes in LDL and HDL function: a cross-sectional study
Christensen et al. J Intern Med 2021; 290: 1083– 1097
Metabolic risk factors
Body muscle gain and markers of cardiovascular disease susceptibility in young adulthood: A cohort study.
Bell et al. (2021) PLOS Medicine 18(9): e1003751
Ala-Korpela et al. International Journal of Epidemiology, 2021;, dyab156
Cardiovascular diseases
The Association of 9 Amino Acids With Cardiovascular Events in Finnish Men in a 12-Year Follow-up Study
Jauhiainen et al. The Journal of Clinical Endocrinology & Metabolism, Volume 106, Issue 12, December 2021, Pages 3448–3454
Karppinen et al. Volume 331, e187 - e188
Gut microbiota
Dietary interventions Reduce Traditional and Novel Cardiovascular Risk Markers by Altering the Gut Microbiome and Their Metabolites
Vijay et al. Front Cardiovasc Med. 2021 Jul 14;8:691564
Cardiovascular diseases
Per-Particle Triglyceride-Rich Lipoproteins Imply Higher Myocardial Infarction Risk Than Low-Density Lipoproteins: Copenhagen General Population Study
Johansen et al. Arterioscler Thromb Vasc Biol. 2021 Jun;41(6):2063-2075
Cardiovascular diseases
Prioritizing the Role of Major Lipoproteins and Subfractions as Risk Factors for Peripheral Artery Disease.
Levin et al. Circulation. 2021;144:353–364
Metabolic risk factors
Childhood overeating is associated with adverse cardiometabolic and inflammatory profiles in adolescence.
Hübel et al. Sci Rep 11, 12478 (2021)
Wang et al. Metabolomics. 2021 Jun 9;17(6):57