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
Ahola-Olli et al. Diabetologia 2019; Pre-print
Metabolic risk factors
Metabolomics and Their Ability to Distinguish Thyroid Disorders: A Retrospective Pilot Study
Struja et al. Horm Metab Res 2019. doi: 10.1055/a-0850-9691
Mills et al. BMC Medicine 2019;17(1):15
Mefford et al. BioRxiv 2019; preprint
Neurological diseases
Serum GlycA level is a candidate biomarker for disease activity in systemic lupus erythematosus and for proliferative status of lupus nephritis, independent of renal function impairment
Dierckx et al. BioRxiv 2018; preprint
Metabolic risk factors
Biomarker Glycoprotein Acetyls Is Associated With the Risk of a Wide Spectrum of Incident Diseases and Stratifies Mortality Risk in Angiography Patients
Kettunen et al. Circulation: Genomic and Precision Medicine 2018:11;e002234.
Metabolic risk factors
Cross-sectional associations between Ideal Cardiovascular Health scores and vascular phenotypes in 11- to 12-year-olds and their parents: The Longitudinal Study of Australian Children
Liu et al. Int J Cardiol. 2019;277;258-265
Metabolic risk factors
Metabolic profling of adherence to diet, physical activity and body size recommendations for cancer prevention
Gu et al, Scientific Reports 2018;8:16293
Metabolic risk factors
Mendelian randomization reveals unexpected effects of CETP on the lipoprotein profile
Blauw et al, EJHG. 2018, doi:10.1038/s41431-018-0301-5
Thesing et al. Psychoneuroendocrinology 2018;97;206-215
Cardiovascular diseases
Delayed postprandial TAG peak after intake of SFA compared with PUFA in subjects with and without familial hypercholesterolaemia: a randomised controlled trial
Øyri et al. British Journal of Nutrition, 2018;119,(10):343-352
Metabolic risk factors
Associations of device-measured physical activity across adolescence with metabolic traits: Prospective cohort study
Bell et al. PLoS Medicine 2018;15(9):e1002649
Gut microbiota
Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women
Munukka et al. Front Microbiol. 2018;9:2323
Maternal health
Amino acid profile in women with gestational diabetes mellitus treated with metformin or insulin
Huhtala et al. Diabetes Res Clin Pract. 2018;146:8-17
Cardiovascular diseases
Association of circulating metabolites with healthy diet and risk of cardiovascular disease: analysis of two cohort studies
Akbaraly et al. Scientific Reports 2018;8:8620