Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans
Broad Institute · Diabetes Australia · +1 more institution
Abstract
Dyslipidemia is an independent risk factor for type 2 diabetes, although exactly which of the many plasma lipids contribute to this remains unclear. We therefore investigated whether lipid profiling can inform diabetes prediction by performing liquid chromatography/mass spectrometry-based lipid profiling in 189 individuals who developed type 2 diabetes and 189 matched disease-free individuals, with over 12 years of follow up in the Framingham Heart Study. We found that lipids of lower carbon number and double bond content were associated with an increased risk of diabetes, whereas lipids of higher carbon number and double bond content were associated with decreased risk. This pattern was strongest for…
Citation impact
- FWCI
- 16.10
- Percentile
- 100%
- References
- 34
Authors
16Topics & keywords
- Insulin resistance
- Diabetes mellitus
- Internal medicine
- Type 2 diabetes
- Endocrinology
- Dyslipidemia
- Medicine
- Insulin
- Good health and well-being