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
Metabolic risk factors
Structure–function relationships of HDL in diabetes and coronary heart disease
Cardner et al. JCI Insight 2019; preprint
Cardiovascular diseases
Data-driven multivariate population subgrouping via lipoprotein phenotypes versus apolipoprotein B in the risk assessment of coronary heart disease
Ohukainen et al. Atherosclerosis 2020; preprint
Carvalho et al. Mol Neurobiol. 2019; preprint
Wang et al. BMC Medicine 2019;17(1):217
Peradze et al. Cardiovasc Diabetol. 2019;18(1):141
Metabolic risk factors
Metabolomics Analysis in Adults With High Bone Mass Identifies a Relationship Between Bone Resorption and Circulating Citrate Which Replicates in the General Population
Hartley et al. Clinical Endocrinology 2020 Jan;92(1):29-37.
Wittemans et al. Nat Commun 2019;10:1060
Human genetics
A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context
Gallois et al. Nat Commun 2019;10:4788
Metabolic risk factors
The association of plasma fatty acids with hand and knee osteoarthritis: the NEO study
Loef et al. Osteoarthritis and Cartilage 2020;28(2):223-230
Metabolic risk factors
Associations between Blood Metabolic Profile at 7 Years Old and Eating Disorders in Adolescence: Findings from the Avon Longitudinal Study of Parents and Children
Santos Ferreira et al. Metabolites 2019;9(9):191
Fatty liver disease
Metabolic profiling of adolescent non-alcoholic fatty liver disease
Hartley et al. Wellcome Open Res 2019;3:166
Taylor et al. Metabolites 2019;9(9):190
Metabolic risk factors
Physical Activity, Sedentary Leisure Time, Circulating Metabolic Markers, and Risk of Major Vascular Diseases
Pang et al. Circ Genom Precis Med. 2019;12(9):386-96
Bell et al 2019 bioRxiv; preprint
Metabolic risk factors
Metabolomics profile in depression: a pooled analysis of 230 metabolic markers in 5,283 cases with depression and 10,145 controls
Bot et al. Biol. Psychiatry 2019 Pre-print