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Urinary metabolic profile and its predictive indexes after MSG consumption in rat
Manatsaphon Sukmak1,2, Thin Su Kyaw1,2, Kanokwan Nahok1,2
1Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Plos One
|September 3, 2024
Summary
Researchers developed a formula to estimate daily monosodium glutamate (MSG) intake in rats by analyzing urine metabolites. This method helps monitor MSG
Area of Science:
- Metabolomics
- Nutritional Science
- Toxicology
Background:
- Monosodium glutamate (MSG) is a common food additive with debated health impacts, including links to obesity, metabolic syndrome (MetS), and chronic kidney disease.
- Accurate quantification of dietary MSG intake is crucial for resolving health concerns.
Purpose of the Study:
- To develop a predictive formula for estimating daily MSG intake in a rat model.
- To correlate urinary metabolic profiles with known MSG consumption levels.
Main Methods:
- Adult male Wistar rats were administered varying daily concentrations of MSG (0.5%, 1.5%, 3.0%) or withdrawn from MSG.
- 24-hour urine samples were analyzed using 1H NMR spectrometry for metabolic profiling.
- Multiple linear regression analysis was employed to identify key urinary markers and build a predictive model.
Main Results:
- A strong correlation was observed between daily MSG intake and specific urinary metabolites, including sodium, citrate, and glutamate.
- A validated formula based on urinary Na+, citrate, and glutamate accurately estimated daily MSG intake.
- The study identified a panel of urinary metabolites linked to MSG consumption.
Conclusions:
- Daily MSG intake in rats correlates with specific urinary metabolite profiles.
- The developed formula offers a novel tool for monitoring MSG exposure and its potential health implications in research settings.
