Urinary metabolic profile and its predictive indexes after MSG consumption in rat.

Monosodium glutamate (MSG) is a widely used food additive with conflicting evidence regarding its potential effects on human health, with proposed relevance for obesity and metabolic syndrome (MetS) or chronic kidney disease. As being able to accurately quantify the MSG dietary intake would help cla...

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Main Authors: Manatsaphon Sukmak, Thin Su Kyaw, Kanokwan Nahok, Amod Sharma, Atit Silsirivanit, Worachart Lert-Itthiporn, Deanpen Japrung, Somchai Pinlaor, Sirirat Anutrakulchai, Carlo Selmi, Carolyn M Slupsky, Bruce D Hammock, Ubon Cha'on
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0309728
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author Manatsaphon Sukmak
Thin Su Kyaw
Kanokwan Nahok
Amod Sharma
Atit Silsirivanit
Worachart Lert-Itthiporn
Deanpen Japrung
Somchai Pinlaor
Sirirat Anutrakulchai
Carlo Selmi
Carolyn M Slupsky
Bruce D Hammock
Ubon Cha'on
author_facet Manatsaphon Sukmak
Thin Su Kyaw
Kanokwan Nahok
Amod Sharma
Atit Silsirivanit
Worachart Lert-Itthiporn
Deanpen Japrung
Somchai Pinlaor
Sirirat Anutrakulchai
Carlo Selmi
Carolyn M Slupsky
Bruce D Hammock
Ubon Cha'on
author_sort Manatsaphon Sukmak
collection DOAJ
description Monosodium glutamate (MSG) is a widely used food additive with conflicting evidence regarding its potential effects on human health, with proposed relevance for obesity and metabolic syndrome (MetS) or chronic kidney disease. As being able to accurately quantify the MSG dietary intake would help clarify the open issues, we constructed a predictive formula to estimate the daily intake of MSG in a rat model based on the urinary metabolic profile. Adult male Wistar rats were divided into groups receiving different daily amounts of MSG in drinking water (0.5, 1.5, and 3.0 g%), no MSG, and MSG withdrawal after 3.0% MSG treatment for 4 weeks. We then analyzed 24-hour urine samples for chemistries and metabolites using 1H NMR spectrometry and observed a strong correlation between urine pH, sodium, bicarbonate, alpha-ketoglutarate, citrate, fumarate, glutamate, methylamine, N-methyl-4-pyridone-3-carboxamide, succinate, and taurine and the daily MSG intake. Following the multiple linear regression analysis a simple formula model based on urinary Na+, citrate, and glutamate was most accurate and could be validated for estimating daily MSG intake. In conclusion, we propose that the daily MSG intake correlates with urinary metabolites in a rat model and that this new tool for monitoring the impact of MSG on health measures.
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spelling doaj-art-4577e3eab54741db8c82ee33bf6abd1e2025-01-17T05:32:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01199e030972810.1371/journal.pone.0309728Urinary metabolic profile and its predictive indexes after MSG consumption in rat.Manatsaphon SukmakThin Su KyawKanokwan NahokAmod SharmaAtit SilsirivanitWorachart Lert-ItthipornDeanpen JaprungSomchai PinlaorSirirat AnutrakulchaiCarlo SelmiCarolyn M SlupskyBruce D HammockUbon Cha'onMonosodium glutamate (MSG) is a widely used food additive with conflicting evidence regarding its potential effects on human health, with proposed relevance for obesity and metabolic syndrome (MetS) or chronic kidney disease. As being able to accurately quantify the MSG dietary intake would help clarify the open issues, we constructed a predictive formula to estimate the daily intake of MSG in a rat model based on the urinary metabolic profile. Adult male Wistar rats were divided into groups receiving different daily amounts of MSG in drinking water (0.5, 1.5, and 3.0 g%), no MSG, and MSG withdrawal after 3.0% MSG treatment for 4 weeks. We then analyzed 24-hour urine samples for chemistries and metabolites using 1H NMR spectrometry and observed a strong correlation between urine pH, sodium, bicarbonate, alpha-ketoglutarate, citrate, fumarate, glutamate, methylamine, N-methyl-4-pyridone-3-carboxamide, succinate, and taurine and the daily MSG intake. Following the multiple linear regression analysis a simple formula model based on urinary Na+, citrate, and glutamate was most accurate and could be validated for estimating daily MSG intake. In conclusion, we propose that the daily MSG intake correlates with urinary metabolites in a rat model and that this new tool for monitoring the impact of MSG on health measures.https://doi.org/10.1371/journal.pone.0309728
spellingShingle Manatsaphon Sukmak
Thin Su Kyaw
Kanokwan Nahok
Amod Sharma
Atit Silsirivanit
Worachart Lert-Itthiporn
Deanpen Japrung
Somchai Pinlaor
Sirirat Anutrakulchai
Carlo Selmi
Carolyn M Slupsky
Bruce D Hammock
Ubon Cha'on
Urinary metabolic profile and its predictive indexes after MSG consumption in rat.
PLoS ONE
title Urinary metabolic profile and its predictive indexes after MSG consumption in rat.
title_full Urinary metabolic profile and its predictive indexes after MSG consumption in rat.
title_fullStr Urinary metabolic profile and its predictive indexes after MSG consumption in rat.
title_full_unstemmed Urinary metabolic profile and its predictive indexes after MSG consumption in rat.
title_short Urinary metabolic profile and its predictive indexes after MSG consumption in rat.
title_sort urinary metabolic profile and its predictive indexes after msg consumption in rat
url https://doi.org/10.1371/journal.pone.0309728
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