Publications
Nightingale Health’s technology is routinely used in world-class epidemiological and genetic studies. There are over 450 publications that have utilized our technology.
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
Inflammation
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
Louca et al. Nutrients. 2022
Bermingham et al. EBioMedicine. 2022
Schuchardt et al. Br J Nutr 2022
Maternal health
Unique Metabolic Profiles Associate with Gestational Diabetes and Ethnicity in Low- and High-Risk Women Living in the UK
Fuller et al. J Nutr 152:10 2022 Oct 06
Metabolic risk factors
PLIS: A metabolomic response monitor to a lifestyle intervention study in older adults
Bogaards et al. The FASEB Journal. 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. 2023
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