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
Thomson et al., Environ Int 171 2023 Jan
Maternal health
Unique Metabolic Profiles Associate with Gestational Diabetes and Ethnicity in Low and High-Risk Women Living in the UK
Fuller et al. The Journal of Nutrition, 2022;, nxac163
Schuchardt et al. Br J Nutr 2022
Metabolic risk factors
Simultaneous prediction of risk for multiple common diseases using metabolomics
Eils & Landmesser. Nat Med. 2022
Metabolic risk factors
Metabolomic profiles predict individual multidisease outcomes
Buergel, T., Steinfeldt, J., Ruyoga, G. et al. Nat Med (2022)
Human genetics
Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation
Smith et al. Elife. 2022 Sep 8;11:e79348
Cardiovascular diseases
Circulating metabolites associated with incident myocardial infarction and stroke: A prospective cohort study of 90 438 participants
Guo et al. Journal of Neurochemistry, 162, 371– 384
Neurological diseases
Plasma metabolomic profiles of dementia: a prospective study of 110,655 participants in the UK Biobank.
Zhang et al. BMC Med. 2022 Aug 15;20(1):252.
Cardiovascular diseases
High density lipoprotein subfractions and extent of coronary atherosclerotic lesions: From the cordioprev study
De La Cruz-Ares et al. Clin Chim Acta. 2022 Aug 1;533:89-95
Niehues et al. BMC Genomics. 2022 Jul 31;23(1):546
Kananen et al. Geroscience. 2022. 2022 Jul 21
Metabolic risk factors
Metabolite and lipid biomarkers associated with intraocular pressure and inner retinal morphology: results from the UK Biobank
Pasquale et al. Invest. Ophthalmol. Vis. Sci. 2022;63(7):2291
Metabolic risk factors
Circulating Polyunsaturated Fatty Acids and COVID-19: A Prospective Cohort Study and Mendelian Randomization Analysis
Sun et al. 2022. Frontiers in Medicine. Volume 9
Metabolic risk factors
Postprandial and Fasting Metabolic Signatures: Insights From the ZOE PREDICT 1 Study
Linenberg et al. Current Developments in Nutrition. 2022 Vol 6, Issue Supplement 1; 448
Cardiovascular diseases
Role of circulating polyunsaturated fatty acids on cardiovascular diseases risk: analysis using Mendelian randomization and fatty acid genetic association data from over 114,000 UK Biobank participants
Borges et al. BMC med. 2022 Jun 13;20(1):210