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
Cardiovascular diseases
Metabolic profiling of intra- and extracranial carotid artery atherosclerosis
Vojinovic et al. Atherosclerosis 2018;272:60-65
Cardiovascular diseases
Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts
Menni et al. Circulation Research 2018;122(11):1555–64
Metabolic risk factors
Metabolic profiling of intra- and extracranial carotid artery atherosclerosis
Vojinovic et al. Atherosclerosis 2018;272:60-65
Human genetics
Identification of seven novel loci associated with amino acid levels using single variant and gene-based tests in 8,545 Finnish men
Teslovich et al. Human Molecular Genetics 2018;27(9):1664-74
Øyri et al. British Journal of Nutrition, 2018;119,(10):343-52
Vrieling et al. EBioMedicine 2018;32:192-200
Neurological diseases
The association of omega-3 fatty acid levels with personality and cognitive reactivity
Thesing et al. J Psychosom Res 2018;108;93-101
Beynon et al. 2018;144:1918–1928
Tikkanen et al. Scientific Reports 2018;8:6451
Human genetics
NAFLD risk alleles in PNPLA3, TM6SF2, GCKR, and LYPLAL1 show divergent metabolic effects
Sliz et al. Human Molecular Genetics 2018;27(12):2214–23
Neurological diseases
Association of branched-chain amino acids and other circulating metabolites with risk of incident dementia and Alzheimer’s disease
Tynkkynen et al. Alzheimer's & Dementia. 2018;14(6):723-33
Wang et al. BMC Medicine 2018;16:17
Cardiovascular diseases
Lipids, lipoproteins and metabolites and risk of incident myocardial infarction and stroke subtypes
Holmes et al. Journal of the American College of Cardiology 2018;71(6):620-32
Metabolic risk factors
What is ‘LDL cholesterol’?
Holmes and Ala-Korpela, Nature Reviews Cardiology (2019)
Drug development
Association of CETP Gene Variants With Risk for Vascular and Nonvascular Diseases Among Chinese Adults
Millwood et al. Journal of the American Medical Association: Cardiology 2018;3(1):34-43