Cardiovascular research highlights
Nightingale Health has analyzed over 2.8M blood samples globally, enabling pioneering science across multiple disease areas. This research has led to over 950 peer-reviewed publications in high-impact journals. Discover metabolic insights from various pathways relevant to cardiovascular research, including recent top publications, real-world examples of how our technology has influenced the health industry, and more.
Cardiovascular highlights by Nightingale Health
Metabolomics unveils unique metabolic signatures in cardiovascular diseases, paving the way for improved diagnostics and targeted interventions.
- Specific metabolic signatures have been identified for various cardiovascular disease (CVD) types: for example, distinct metabolomic profiles were observed for heart failure vs myocardial infarction.
- Identifying differential metabolic fingerprints not only provide insights into disease mechanisms but also offer potential for improved diagnostics and targeted interventions.
- Cardiovascular disease prevention is a natural translation opportunity for metabolomic biomarker, as it builds on the widespread use of lipid profiling in at risk individuals.
Explore the cutting edge cardiovascular research using Nightingale Health data
Cardiovascular risk prediction using metabolomic biomarkers and polygenic risk scores: A cohort study and modelling analyses
Ritchie et al, MedRxiv, 2023
Serum metabolomics improves risk stratification for incident heart failure
Oexner et al, EJHF, 2024
Metabolomic and genomic prediction of common diseases in 477,706 participants in three national biobanks
Barrett et al, MedRxiv, 2023
Case Terveystalo: Clinical utilization of Nightingale Health risk assessment in population scale
Finland’s largest health service company, Terveystalo, has provided Nightingale Health's proprietary blood analysis as part of regular health checks in occupational health since January 2024. Nightingale Health’s advanced technology detects the risks of eight of the most common chronic diseases from a single blood sample, which streamlines the healthcare professionals’ work significantly and saves time.
Risk prediction of type 2 diabetes complications using metabolomic data from the whole UK Biobank cohort
Individuals diagnosed with type 2 diabetes are at an increased risk of complications like eye problems, cardiovascular events, kidney disease and death. We used metabolomic data from the entire UK Biobank to develop risk models predicting these outcomes. The metabolomic risk scores significantly predicted all types of complications independent from age and sex and in some cases outperformed standard risk factors like HbA1c and cholesterol measures. The ability of metabolomic risk scores to predict a wide range of complications, could aid in implementation of prediction and prevention tools in diabetes care.
Nightingale Health’s metabolomic research service enables reproducible and cost-effective measurement of lipids, inflammation, dietary intake, insulin sensitivity, and much more.
Our biomarkers are associated with diverse aspects of human health, from cardiometabolic disease to kidney and liver function to dementia and mental health. The biomarkers also reflect the exposome, including smoking, and diet, providing foundational data for every analysis in your study.
If you genotype each sample, you should also have a metabolic snapshot as part of the core data. Take your research to the next level with metabolic insights across human health.