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High-throughput LC-MS method to investigate postprandial lipemia: considerations for future precision nutrition
Justine M Mucinski1, Jennifer E Vena2, Maria A Ramos-Roman3
1Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri.
American Journal of Physiology. Endocrinology and Metabolism
|February 1, 2021
Summary
This study introduces a new stable isotope tracer method to track dietary lipid metabolism after meals with varying fat content. The findings highlight the method's utility for precision nutrition research and drug development.
Area of Science:
- Metabolic Research
- Nutritional Science
- Cardiovascular Disease Risk Factors
Background:
- Elevated postprandial lipemia is a significant risk factor for cardiovascular disease.
- Current methods for quantifying postmeal lipid handling in humans are limited.
- Understanding dietary lipid metabolism is crucial for personalized health strategies.
Purpose of the Study:
- To test a novel stable isotope tracer method for tracking dietary lipid appearance in humans.
- To quantify postprandial lipid handling following meals with varying fat content.
- To assess the utility of this method for precision nutrition and clinical research.
Main Methods:
- A stable isotope tracer (2H11-oleate) was incorporated into liquid meals with low, moderate, and high fat content.
- 12 healthy men consumed these meals in a randomized crossover design.
- Blood samples were collected over 8 hours, and triglyceride-rich lipoproteins were isolated and analyzed using ultracentrifugation and LC-MS.
Main Results:
- The novel stable isotope tracer method successfully quantified dietary lipid appearance and turnover.
- Plasma triglyceride concentrations and lipid particle dynamics varied significantly with meal fat content.
- TG 54:3 and singly labeled molecules showed higher plasma absolute entry rates, supporting the method's sensitivity.
Conclusions:
- The developed stable isotope labeling method is effective for investigating human postprandial lipemia.
- This technique can be applied to precision nutrition studies to characterize individual responses to dietary fats.
- The method offers a valuable tool for basic science research and clinical drug development in metabolic health.

