Diabetes research highlights
Nightingale Health offers affordable, high-throughput, and fast metabolomic analysis services for researchers.
Discover the underlying metabolic risk factors for diabetes related pathways. Build high efficiency risk prediction models for incident disease and complications utilizing biomarker risk scores. Track progression of sub-clinical disease and prediabetes. With hundreds of metabolic measures from blood and urine samples, the science is yours to make.
Nightingale Health offers affordable metabolic profile for blood and urine samples to boost your research
- Nightingale Health metabolic profile for research affordably measure major components of metabolic health from a single small volume sample.
- Strong associations for multiple diseases published, including diabetes and diabetes complications affecting eyes and kidneys.
- Our service covers analysis of blood and urine samples, you can learn more about our services here.
- High throughput allows data generation for population scale cohorts efficiently.
Explore the cutting edge diabetes research using Nightingale Health data
Insulin resistance and systemic metabolic changes in oral glucose tolerance test in 5340 individuals: an interventional study
Wang et al. BMC Med. 2019
The metabolomic signature of weight loss and remission in the Diabetes Remission Clinical Trial (DiRECT)
Corbin et al. Diabetologia. 2024
Urinary metabolite profiling and risk of progression of diabetic nephropathy in 2670 individuals with type 1 diabetes
Mutter et al. Diabetologia. 2022
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.