Dataset Information

Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS and ¹H NMR-Based Metabolomics Study.

ABSTRACT: Sasang constitutional medicine classifies human beings into four types based on their physical and psychological characteristics. Despite its potential value in achieving personalized medicine, the diagnosis of sasang constitution (SC) type is complex and subjective. In this study, gas chromatography-mass spectrometry and ¹H nuclear magnetic resonance-based metabolic analyses were conducted to find maker metabolites in serum and urine according to different SC types. Although some samples were overlapped on orthogonal projection to latent structure discriminant analysis score plots, serum samples showed separation between different SC types. Levels of lactate, glutamate, triglyceride, and fatty acids in serum and glycolic acid in urine of Tae-Eum type were higher than those of So-Eum and So-Yang type. Fatty acids, triglyceride, and lactate levels were found to be metabolites related to body mass index, indicating that marker metabolites for the diagnosis of SC type could be associated with obese. However, Tae-Eum type showed higher lactate levels in serum than So-Yang type for both normal weight and overweight groups, suggesting that the contents of serum lactate might be dependent on the SC type regardless of body weight. These results suggest that metabolomics analysis could be used to determine SC type.

SUBMITTER: Kim EJ

PROVIDER: S-EPMC6378031 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS and <sup>1</sup>H NMR-Based Metabolomics Study.

Kim Eun-Ju EJ Hong Young-Shick YS Seo Seung-Ho SH Park Seong-Eun SE Na Chang-Su CS Son Hong-Seok HS

Evidence-based complementary and alternative medicine : eCAM 20190203

Sasang constitutional medicine classifies human beings into four types based on their physical and psychological characteristics. Despite its potential value in achieving personalized medicine, the diagnosis of sasang constitution (SC) type is complex and subjective. In this study, gas chromatography-mass spectrometry and <sup>1</sup>H nuclear magnetic resonance-based metabolic analyses were conducted to find maker metabolites in serum and urine according to different SC types. Although some sam ...[more]

PMID: 30854017

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Project description:(1) Background: The ability to determine the age of ginseng is very important because the price of ginseng depends on the cultivation period. Since morphological observation is subjective, a new scientific and systematic method for determining the age of ginseng is required. (2) Methods: Three techniques were used for a metabolomics approach. High-resolution magic-angle-spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy was used to analyze powdered ginseng samples without extraction. Ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) and gas chromatography quadrupole time-of-fight mass spectrometry (GC-TOF/MS) were used to analyze the extracts of 4-, 5-, and 6-year-old ginseng. (3) Results: A metabolomics approach has the potential to discriminate the age of ginseng. Among the primary metabolites detected from NMR spectroscopy, the levels of fumarate and choline showed moderate prediction with an area under the curve (AUC) value of more than 0.7. As a result of UPLC-QTOF/MS-based profiling, 61 metabolites referring to the VIP (variable importance in the projection) score contributed to discriminating the age of ginseng. The results of GC×GC-TOF/MS showed clear discrimination of 4-, 5-, and 6-year-old ginseng using orthogonal partial least-squares discriminant analysis (OPLS-DA) to 100% of the discrimination rate. The results of receiver operating characteristic (ROC) analysis, 16 metabolites between 4- and 5-year-old ginseng, and 18 metabolites between 5- and 6-year-old ginseng contributed to age discrimination in all regions. (4) Conclusions: These results showed that metabolic profiling and multivariate statistical analyses can distinguish the age of ginseng. Especially, it is meaningful that ginseng samples from different areas had the same metabolites for age discrimination. In future studies, it will be necessary to identify the unknown variables and to collaboratively study with other fields the biochemistry of aging in ginseng.

Dataset Information

Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS and ¹H NMR-Based Metabolomics Study.

Publications

Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS and <sup>1</sup>H NMR-Based Metabolomics Study.

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Dataset Information

Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS and 1H NMR-Based Metabolomics Study.

Publications

Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS and <sup>1</sup>H NMR-Based Metabolomics Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS and ¹H NMR-Based Metabolomics Study.