Publications
Nightingale Health’s technology is routinely used in world-class epidemiological and genetic studies. There are over 600 publications that have utilized our technology.
All
Ageing & dementia
Cancer
Cardiovascular disease
Diabetes
Exposome & nutrition
Genetics
Inflammation & immunity
Kidney disease
Liver disease
Lung disease
Maternal & child health
Medicines & trials
Methods
Mortality & multi-morbidity
Obesity & bodyweight
Psychiatric disorders
Risk prediction
Maternal & child health, Cardiovascular disease, Genetics
The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses
K. Taylor et. al, Journal of Cardiovascular Development and Disease, 2022
M. Karjalainen et. al, 2022
Mortality & multi-morbidity
Metabolic signature of the ganglion cell–inner plexiform layer thickness and the risks of mortality and morbidity: a population-based study in UK Biobank
S. Yang et. al, 2022
F. He et. al, 2022
Risk prediction, Kidney disease, Diabetes
Prediction of diabetic kidney disease risk using machine learning models: A population-based cohort study of Asian adults
C. Sabanayagam et. al, eLife, 2023
C. Foguet et. al, Nature Communications, 2022
J. Schuchardt et. al, British Journal of Nutrition, 2022
Cardiovascular disease, Kidney disease
The metabolic signature of cardiovascular disease and arterial calcification in patients with chronic kidney disease
I. Sørensen et. al, Atherosclerosis, 2022
Ageing & dementia
Sex Differences in the Metabolome of Alzheimer's Disease Progression
T. González Zarzar et. al, Frontiers in Radiology, 2022
Ageing & dementia
Plasma metabolomic profiles of dementia: a prospective study of 110,655 participants in the UK Biobank
X. Zhang et. al, BMC Medicine, 2022
Risk prediction
Metabolomic profiles predict individual multidisease outcomes
T. Buergel et. al, Nature Medicine, 2022
Cardiovascular disease
Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease
Y. Talmor-Barkan et. al, Nature Medicine, 2022
Cardiovascular disease, Genetics
Apolipoprotein A-V is a potential target for treating coronary artery disease: evidence from genetic and metabolomic analyses
D. Ibi et. al, Journal of Lipid Research, 2022
Cardiovascular disease
Circulating metabolites associated with incident myocardial infarction and stroke: A prospective cohort study of 90 438 participants
Y. Guo et. al, Journal of Neurochemistry, 2022
Obesity & bodyweight
Evaluation of the Value of Waist Circumference and Metabolomics in the Estimation of Visceral Adipose Tissue
S. Boone et. al, American Journal of Epidemiology, 2022