Atherosclerosis research highlights
Nightingale Health offers affordable, high-throughput metabolomic analysis services for researchers. Discover the metabolic risk factors for atherosclerosis and cardiovascular diseases.
Nightingale Health offers affordable metabolic profile for blood and urine samples to boost your research
- Metabolic biomarkers measured by NMR metabolomics captures numerous molecular pathways and allows for mechanistic insights as well as better risk prediction.
- Obtain detailed coverage of lipoprotein metabolism, fatty acids and chronic inflammation.
- Our service covers analysis of blood and urine samples, you can learn more about our services here.
- The ability to conduct large, cost-effective 'omics studies with rapid data turnaround makes Nightingale Health a top choice for researchers looking to make impactful contributions to the fight against atherosclerosis.
Explore the cutting edge atherosclerosis research using Nightingale Health data.
Improving 10-year cardiovascular risk prediction in patients with type 2 diabetes with metabolomics
Xie et al. Cardiovasc Diabetol. 2025
A study in Cardiovascular Diabetology examined whether metabolomic biomarkers can improve 10-year cardiovascular risk prediction in people with type 2 diabetes. Using data from the UK Biobank and the ESTHER cohort, researchers identified sex-specific blood metabolites, measured by Nightingale Health, that were associated with future cardiovascular events. Incorporating these metabolites into existing risk models significantly enhanced predictive accuracy. These findings suggest metabolomic profiling could refine cardiovascular risk assessment in diabetes care.
VLDL triglycerides and cholesterol in non-alcoholic fatty liver disease and myocardial infarction
Kyhl et al. Atherosclerosis. 2025
A study published in Atherosclerosis explored how different lipid components in very low-density lipoproteins (VLDL) particles relate to the risk of non-alcoholic fatty liver disease (NAFLD) and heart attack. Using data from over 25,000 individuals in the Copenhagen General Population Study, researchers found that high VLDL triglycerides were more strongly associated with NAFLD risk, while high VLDL cholesterol was more strongly associated with myocardial infarction. The study showed that these lipid components in VLDL have distinct roles in the development of liver and heart disease. These findings highlight the potential of detailed lipid profiling in refining risk assessment for metabolic and cardiovascular conditions.
Association of circulating fatty acids with cardiovascular disease risk: analysis of individual-level data in three large prospective cohorts and updated meta-analysis
Shi et al. Eur J Prev Cardiol. 2025
A study published in the European Journal of Preventive Cardiology examined how different types of fatty acids circulating in the blood relate to cardiovascular disease risk. Using data from over 170,000 participants across multiple large European cohorts, the researchers found that even-chain saturated fatty acids in the blood were associated with higher risks of coronary heart disease and stroke, while odd- and longer-chain saturated fats were linked to lower risk. In contrast, blood levels of marine-derived n-3 polyunsaturated fatty acids and linoleic acid showed consistent inverse associations with cardiovascular outcomes. These findings challenge broad dietary advice to reduce all saturated fat and highlight the importance of distinguishing between fatty acid subtypes in heart health.
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.