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Nightingale Health Ltd.

Helsinki, FI
New

Nightingale Health Ltd. is a Finnish biomedical science company, transforming chronic disease and population health research through use of its cutting edge NMR-based metabolomics platform. By providing comprehensive metabolic profiling of serum/plasma samples, Nightingale’s mission is to further molecular understanding and risk prediction of metabolic diseases. Our clientele consists of highly-esteemed medical universities & institutions and there are currently over 100 scientific publications that have successfully applied Nightingale’s method, including significant large-scale metabolomics and epidemiological studies. To date more than 500,000 samples have been analyzed using our biomarker platform, including the world's largest metabolomics project with 50 000 clinical trial samples for University of Cambridge and recently Nightingale's platform was installed to Oxford University’s clinical trial... Show more »

Nightingale Health Ltd. is a Finnish biomedical science company, transforming chronic disease and population health research through use of its cutting edge NMR-based metabolomics platform. By providing comprehensive metabolic profiling of serum/plasma samples, Nightingale’s mission is to further molecular understanding and risk prediction of metabolic diseases. Our clientele consists of highly-esteemed medical universities & institutions and there are currently over 100 scientific publications that have successfully applied Nightingale’s method, including significant large-scale metabolomics and epidemiological studies. To date more than 500,000 samples have been analyzed using our biomarker platform, including the world's largest metabolomics project with 50 000 clinical trial samples for University of Cambridge and recently Nightingale's platform was installed to Oxford University’s clinical trial unit.

Nightingale’s biomarker analysis quantifies over 220 metabolic biomarker measures per blood sample in a single and affordable experiment. Amino acids, fatty acids, glycolysis metabolites, and lipoprotein subclasses are obtained simultaneously along with routine clinical lipid measures. Nightingale’s platform also scales to any number of samples and provides fast delivery times.

Blood metabolites are quantified in absolute concentrations (e.g. mmol/l) and can be analyzed in the same way as other clinical chemistry data. The fully automated NMR-based biomarker quantification provides superior repeatability (CV%) compared to mass spectrometry methods and is coupled with automated quality control.

By measuring biomarkers from multiple pathways in one go, Nightingale’s analysis delivers a fine-grained snapshot of systemic metabolism – providing novel molecular insights into the effects of lifestyle factors and genetic makeup on future disease risk. Nightingale’s biomarker analysis has been used to uncover novel biomarkers and improve the prediction of cardiovascular disease and type 2 diabetes. Detailed metabolic profiling also facilitates the study of molecular signatures for established risk factors and the effects of dietary and drug interventions.

Nightingale’s background is in academia and its team comprises of experts in computational medicine, NMR metabolomics and molecular epidemiology. Nightingale’s science department is led by Dr. Peter Würtz, an internationally recognized leader in the field of molecular epidemiology and Academy Research Fellow at University of Helsinki. Dr. Würtz’s research focuses on the applications of metabolomics in large population studies on cardiometabolic diseases, with the aims of improved prevention and enhanced understanding of disease mechanisms. As a part of Nightingale’s service, Dr. Würtz and his team also support customers in interpreting their results.

Recent Publications

  • Würtz et al. Quantitative Serum NMR Metabolomics in Large-Scale Epidemiology: A Primer on -Omic Technology. American Journal of Epidemiology 2017 kwx016. doi: 10.1093/aje/kwx016
  • Kaikkonen et al. Metabolic profiling of fatty liver in young and middle-aged adults — cross-sectional and prospective analyses of the Young Finns Study. Hepatology 2017;65:491-500.
  • Voora & Shah. Pharmacometabolomics Meets Genetics. Journal of the American College of Cardiology 2016;76:1211.
  • Preiss et al. The effect of metformin therapy on circulating amino acids in a randomised trial: the CAMERA study. Diabetic Medicine 2016;33:1569-1574.
  • Wang et al. Effects of Hormonal Contraception on Systemic Metabolism: Cross-Sectional and Longitudinal Evidence. International Journal of Epidemiology 2016;45:1445-1457.
  • Kettunen et al. Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA. Nature Communications 2016;7:11122.
  • Würtz et al. Metabolomic Profiling of Statin Use and Genetic Inhibition of HMG-CoA Reductase. Journal of the American College of Cardiology 2016;67(10):1200-10.
  • Drenos et al. Metabolic Characterization of a Rare Genetic Variation Within APOC3 and Its Lipoprotein Lipase–Independent Effects. Circulation Cardiovascular Genetics 2016;9:231-239.
  • Van de Rest. Metabolic effects of a 13-weeks lifestyle intervention in older adults: The Growing Old Together Study. Aging 2016;8(1):111-26.
  • Vogt et al. Characterization of the metabolic profile associated with serum 25-hydroxyvitamin D A cross-sectional analysis in population-based data. International Journal of Epidemiology 2016;45(5):1469-1481.
  • Würtz et al. Metabolic signatures of birth weight in 18288 adolescents and adults. International Journal of Epidemiology 2016;45:1539-1550.
  • Würtz et al. Metabolic profiling of alcohol consumption in 9778 young adults. International Journal of Epidemiology 2016;45:1493-1506.
  • Wang et al. Metabolic Profiling of Pregnancy: Cross-sectional and Longitudinal Evidence
    BMC Medicine 2016;14:205.
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Nightingale Health Ltd. has not listed any services.

Biomarker Analysis
Price on request

Our metabolomics platform provides a fine-grained snapshot of systemic metabolism. By measuring over 220 biomarkers from multiple biological pathways in one go, we provide novel molecular insights into the effects of lifestyle factors, genetic makeup and future disease risk. Amino acids, fatty acids, glycolysis metabolites and... Show more »

Our metabolomics platform provides a fine-grained snapshot of systemic metabolism. By measuring over 220 biomarkers from multiple biological pathways in one go, we provide novel molecular insights into the effects of lifestyle factors, genetic makeup and future disease risk. Amino acids, fatty acids, glycolysis metabolites and lipoprotein subclasses are all obtained simultaneously with routine clinical lipid measures. Please see the 'Resources' for detailed biomarker listing.

Nightingale’s NMR-based biomarker analysis has been used to uncover novel biomarkers and to improve the prediction of cardiovascular disease, type 2 diabetes and many other chronic diseases. Our detailed metabolic profiling also enables the study of molecular signatures for established risk factors, as well as the effects of dietary and drug interventions.

Service details:
• 220 biomarkers per plasma/serum sample - 350ul or 100ul sample size
• Data provided in quantitative measures (xlsx format) allowing study replication and statistical analyses
• No batch effects between sample sets across different time points
• Results review call with Nightingale's internal scientific team (optional to customer)
• Fast results delivery and competitive pricing based on order volume – e.g. 5,000 samples (350ul) analysed in 1 month at 28 euros per sample

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Human
NMR
Cardiovascular
Diabetes Type 1
Diabetes Type 2
Drug discovery
serum
plasma
Obesity
Colorectal cancer
aging
Biomarker analysis
Prostate Cancer
chronic obstructive pulmonary disease
Atherosclerosis
inflammation
NASH (Non-Alcoholic Steatohepatitis)
metabolism
Ovarian Cancer
Drug Safety and Toxicology
Metabolic disorders
drug effects
All-cause mortality
Dietary effects
Pancreatic cancer
NAFLD
COPD
Liver cancer
CVD
Genetics
Metabolite Profiling
Price on request

Please see the description for 'Biomarker Analysis'.

Please see the description for 'Biomarker Analysis'.

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