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.
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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
VLDL Cholesterol Accounts for One-Half of the Risk of Myocardial Infarction Associated With apoB-Containing Lipoproteins
Balling et al. J Am Coll Cardiol. 2020 Dec 8;76(23):2725-2735
Zierfuss et al. Diabetes Res Clin Pract. 2021
Metabolic risk factors
The association between plasma metabolites and sleep quality in the Southall and Brent Revisited (SABRE) Study: A cross-sectional analysis
Topricenau et al. J Sleep Res. 2021; 30:e13245
Cardiovascular diseases
Novel biomarkers associated with incident heart failure in 10 106 Finnish men
Jauhiainen et al. ESC Heart Failure 2020;8(1):605-614
Metabolic risk factors
Integrating Metabolomics, Genomics, and Disease Pathways in Age-Related Macular Degeneration: The EYE-RISK Consortium
Acar et al. Ophthalmology 2020;127(12): 1693-1709
Metabolic risk factors
Associations between outdoor temperature and bright sunlight with metabolites in two population-based European cohorts
Eveleen Maarse et al. 2020 Nov 27;30(12):2252-2261
McBride et al. BMC Med. 2020 Nov 23;18(1):366
Metabolic risk factors
Very Low-Density Lipoprotein Cholesterol May Mediate a Substantial Component of the Effect of Obesity on Myocardial Infarction Risk: The Copenhagen General Population Study
Johansen et al. Clin Chem. 2021 Jan 8;67(1):276-287
Metabolic risk factors
The Prognostic Value of Metabolic Profiling in Older Patients With a Proximal Femoral Fracture
van der Sijp et al. Geriatr Orthop Surg Rehabil 2020;11:1-7.
Metabolic risk factors
Leptin alters energy intake and fat mass but not energy expenditure in lean subjects
Chrysafi et al. Nature Communications 2020;11:5145
Metabolic risk factors
Cross-sectional metabolic profiles of mental health in population-based cohorts of 11- to 12-year-olds and mid-life adults: The Longitudinal Study of Australian Children
Lange et al. Aust N Z J Psychiatry. 2020 Sep;54(9):928-937
Metabolic risk factors
Serum fatty acid chain length associates with prevalent symptomatic end-stage osteoarthritis, independent of BMI
Meessen et al. Scientific Reports. 2020. 2020 Sep 22;10(1):15459
Metabolic risk factors
Circulating metabolites are associated with brain atrophy and white matter hyperintensities
Leeuw et al. Alzheimer's Dement. 2021;17(2): 205–214
Metabolic risk factors
Association of the functional ovarian reserve with serum metabolomic profiling by nuclear magnetic resonance spectroscopy: a cross-sectional study of ~ 400 women
Al Rashid et al. BMC Med. 2020;18(1)
Huhtala et al. BMC Pregnancy Childbirth 2020;20(1):401