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.
Highlighted publications
←
→
Metabolomic profiles predict individual multidisease outcomes
Buergel et al., Nat Med., 2022
Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank
Julkunen et al., Nat Commun., 2023
Genome-wide characterization of circulating metabolic biomarkers
Karjalainen et al., Nature, 2024
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
Risk prediction, Methods, Liver disease
Machine learning across multiple imaging and biomarker modalities in the UK Biobank improves genetic discovery for liver fat accumulation
H. Somineni et. al, 2024
Exposome & nutrition, Cardiovascular disease
Dissecting Causal Relationships Between Gut Microbiota, Blood Metabolites, and Stroke: A Mendelian Randomization Study
Q. Wang et. al, Journal of Stroke, 2023
Genetics, Maternal & child health
Interactions between genetic variants and dietary lipid composition: effects on circulating LDL cholesterol in children
A. Ahola-Olli et. al, The American Journal of Clinical Nutrition, 2014
Medicines & trials, Exposome & nutrition
Effects of sea buckthorn and bilberry on serum metabolites differ according to baseline metabolic profiles in overweight women: a randomized crossover trial
P. Larmo et. al, The American Journal of Clinical Nutrition, 2013
Medicines & trials, Diabetes, Cardiovascular disease
Systemic metabolic markers and myocardial glucose uptake in type 2 diabetic and coronary artery disease patients treated for 16 weeks with rosiglitazone, a PPARγ agonist
R. Badeau et. al, Annals of Medicine, 2013
Risk prediction, Diabetes
Glycerol and Fatty Acids in Serum Predict the Development of Hyperglycemia and Type 2 Diabetes in Finnish Men
Y. Mahendran et. al, Diabetes Care, 2013
Risk prediction, Diabetes
Branched-Chain and Aromatic Amino Acids Are Predictors of Insulin Resistance in Young Adults
P. Würtz et. al, Diabetes Care, 2012
Risk prediction, Diabetes
Circulating Metabolite Predictors of Glycemia in Middle-Aged Men and Women
P. Würtz et. al, Diabetes Care, 2012
Diabetes
Association of Ketone Body Levels With Hyperglycemia and Type 2 Diabetes in 9,398 Finnish Men
Y. Mahendran et. al, Diabetes, 2013
Diabetes, Genetics
Hyperglycemia and a Common Variant of GCKR Are Associated With the Levels of Eight Amino Acids in 9,369 Finnish Men
A. Stančáková et. al, Diabetes, 2012
P. Würtz et. al, Diabetes, 2012
A. Stančáková et. al, Diabetes, 2011
Cardiovascular disease
High serum adiponectin is associated with favorable lipoprotein subclass profile in 6.4-year follow-up
M. Vanhala et. al, European Journal of Endocrinology, 2011
Mortality & multi-morbidity
Association of Helicobacter pylori Positivity With Risk of Disease and Mortality
J. Wizenty et. al, Clinical and Translational Gastroenterology, 2023
Medicines & trials, Exposome & nutrition
Effects of Whole Grain, Fish and Bilberries on Serum Metabolic Profile and Lipid Transfer Protein Activities: A Randomized Trial (Sysdimet)
M. Lankinen et. al, PLoS ONE, 2014