Publications

Nightingale’s biomarker analysis platform is routinely used in world-class epidemiological and genetic studies. There are over 350 publications that have applied our method.

All

Metabolic risk factors

Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population

Nightingale's blood biomarkers were used for prediction of severe pneumonia and COVID-19 hospitalisation in 105,146 plasma samples collected in the UK Biobank during 2007-2010.

Julkunen et al, ELife 2021

Metabolic risk factors

Metabolomic profiles predict individual multidisease outcomes

Buergel, T., Steinfeldt, J., Ruyoga, G. et al. Nat Med (2022)

T2D

Circulating metabolic biomarkers are consistently associated with incident type 2 diabetes in Asian and European populations – a metabolomics analysis in five prospective cohorts

Hoong Seah et al, medRxiv 2021

T1D

Urinary metabolite profiling and risk of progression of diabetic nephropathy in 2670 individuals with type 1 diabetes

Mutter et al, Diabetologia 2021

T2D

Predictive value of circulating NMR metabolic biomarkers for type 2 diabetes risk in the UK Biobank study

Bragg et al, medRxiv 2021

T2D

Plasma fatty acids and the risk of vascular disease and mortality outcomes in individuals with type 2 diabetes: results from the ADVANCE study

Harris et al. Diabetologia 2020

Drug development

Metabolic profiling of angiopoietin-like protein 3 and 4 inhibition: a drug-target Mendelian randomization analysis

Wang et al, European Heart Journal 2021

Cardiovascular diseases

VLDL Cholesterol Accounts for One-Half of the Risk of Myocardial Infarction Associated With apoB-Containing Lipoproteins

Balling et al, J Am Coll Cardiol 2020

Cardiovascular diseases

Association of circulating metabolites in plasma or serum and risk of stroke: Meta-analysis from seven prospective cohorts

Vojinovic et al. Neurology. 2020 Dec 2;96(8):e1110–23

Maternal health

Do nuclear magnetic resonance (NMR)-based metabolomics improve the prediction of pregnancy-related disorders? Findings from a UK birth cohort with independent validation

McBride et al. BMC Med. 2020 Nov 23;18(1):366

Metabolic risk factors

The metabolic fingerprint of COVID-19 severity

Dierckx et al, medRxiv 2020

Metabolic risk factors

Association of the functional ovarian reserve with serum metabolomic profiling by nuclear magnetic resonance spectroscopy: a cross-sectional study of ~ 400 women

Al Rashid et al. BMC Med. 2020;18(1)

Cardiovascular diseases

Metabolic Biomarkers for Peripheral Artery Disease Compared with Coronary Artery Disease

Tikkanen et al, medRxiv 2020

Method description

Quantitative Serum Nuclear Magnetic Resonance Metabolomics in Cardiovascular Epidemiology and Genetics

Soininen et al. Circulation Cardiovascular Genetics 2015;8(1):192-206

Metabolic risk factors

GlycA, a novel marker for low grade inflammation, reflects gut microbiome diversity and is more accurate than high sensitive CRP in reflecting metabolomic profile

Mokkala et al. Metabolomics 2020;16(7):76

Metabolic risk factors

Integrating Metabolomics, Genomics, and Disease Pathways in Age-Related Macular Degeneration: The EYE-RISK Consortium

Acar et al. Ophthalmology 2020;127(12): 1693-1709

Metabolic risk factors

Bidirectional longitudinal associations of omega-3 polyunsaturated fatty acid plasma levels with depressive disorders

Thesing et al. Journal of Psychiatric Research 2020;124:1-8

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