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Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics
American ginseng extract (AGE) is an efficient and low-toxic adjuvant for type 2 diabetes mellitus (T2DM). However, the metabolic mechanisms of AGE against T2DM remain unknown. In this study, a rat model of T2DM was created and administered for 28 days. Their biological (body weight and serum bioche...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479495/ https://www.ncbi.nlm.nih.gov/pubmed/36120310 http://dx.doi.org/10.3389/fphar.2022.960050 |
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author | Liu, Tiantian Wang, Dan Zhou, Xinfeng Song, Jiayin Yang, Zijun Shi, Chang Li, Rongshan Zhang, Yanwen Zhang, Jun Yan, Jiuxing Zhu, Xuehui Li, Ying Gong, Min Wang, Chongzhi Yuan, Chunsu Cui, Yan Wu, Xiaohui |
author_facet | Liu, Tiantian Wang, Dan Zhou, Xinfeng Song, Jiayin Yang, Zijun Shi, Chang Li, Rongshan Zhang, Yanwen Zhang, Jun Yan, Jiuxing Zhu, Xuehui Li, Ying Gong, Min Wang, Chongzhi Yuan, Chunsu Cui, Yan Wu, Xiaohui |
author_sort | Liu, Tiantian |
collection | PubMed |
description | American ginseng extract (AGE) is an efficient and low-toxic adjuvant for type 2 diabetes mellitus (T2DM). However, the metabolic mechanisms of AGE against T2DM remain unknown. In this study, a rat model of T2DM was created and administered for 28 days. Their biological (body weight and serum biochemical indicators) and pathological (pancreatic sections stained with HE) information were collected for further pharmacodynamic evaluation. Moreover, an ultra-performance liquid chromatography–mass spectrometry–based (UHPLC–MS/MS–based) untargeted metabolomics method was used to identify potential biomarkers of serum samples from all rats and related metabolic pathways. The results indicated that body weight, fasting blood glucose (FBG), fasting blood insulin (FINS), blood triglyceride concentration (TG), high-density lipoprotein cholesterol (HDL-C), insulin resistance index (HOMA-IR) and insulin sensitivity index (ISI), and impaired islet cells were significantly improved after the high dose of AGE (H_AGE) and metformin treatment. Metabolomics analysis identified 101 potential biomarkers among which 94 metabolites had an obvious callback. These potential biomarkers were mainly enriched in nine metabolic pathways linked to amino acid metabolism and lipid metabolism. Tryptophan metabolism and glutathione metabolism, as differential metabolic pathways between AGE and metformin for treating T2DM, were further explored. Further analysis of the aforementioned results suggested that the anti-T2DM effect of AGE was closely associated with inflammation, oxidative stress, endothelial dysfunction, dyslipidemia, immune response, insulin resistance, insulin secretion, and T2DM-related complications. This study can provide powerful support for the systematic exploration of the mechanism of AGE against T2DM and a basis for the clinical diagnosis of T2DM. |
format | Online Article Text |
id | pubmed-9479495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94794952022-09-17 Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics Liu, Tiantian Wang, Dan Zhou, Xinfeng Song, Jiayin Yang, Zijun Shi, Chang Li, Rongshan Zhang, Yanwen Zhang, Jun Yan, Jiuxing Zhu, Xuehui Li, Ying Gong, Min Wang, Chongzhi Yuan, Chunsu Cui, Yan Wu, Xiaohui Front Pharmacol Pharmacology American ginseng extract (AGE) is an efficient and low-toxic adjuvant for type 2 diabetes mellitus (T2DM). However, the metabolic mechanisms of AGE against T2DM remain unknown. In this study, a rat model of T2DM was created and administered for 28 days. Their biological (body weight and serum biochemical indicators) and pathological (pancreatic sections stained with HE) information were collected for further pharmacodynamic evaluation. Moreover, an ultra-performance liquid chromatography–mass spectrometry–based (UHPLC–MS/MS–based) untargeted metabolomics method was used to identify potential biomarkers of serum samples from all rats and related metabolic pathways. The results indicated that body weight, fasting blood glucose (FBG), fasting blood insulin (FINS), blood triglyceride concentration (TG), high-density lipoprotein cholesterol (HDL-C), insulin resistance index (HOMA-IR) and insulin sensitivity index (ISI), and impaired islet cells were significantly improved after the high dose of AGE (H_AGE) and metformin treatment. Metabolomics analysis identified 101 potential biomarkers among which 94 metabolites had an obvious callback. These potential biomarkers were mainly enriched in nine metabolic pathways linked to amino acid metabolism and lipid metabolism. Tryptophan metabolism and glutathione metabolism, as differential metabolic pathways between AGE and metformin for treating T2DM, were further explored. Further analysis of the aforementioned results suggested that the anti-T2DM effect of AGE was closely associated with inflammation, oxidative stress, endothelial dysfunction, dyslipidemia, immune response, insulin resistance, insulin secretion, and T2DM-related complications. This study can provide powerful support for the systematic exploration of the mechanism of AGE against T2DM and a basis for the clinical diagnosis of T2DM. Frontiers Media S.A. 2022-09-02 /pmc/articles/PMC9479495/ /pubmed/36120310 http://dx.doi.org/10.3389/fphar.2022.960050 Text en Copyright © 2022 Liu, Wang, Zhou, Song, Yang, Shi, Li, Zhang, Zhang, Yan, Zhu, Li, Gong, Wang, Yuan, Cui and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Liu, Tiantian Wang, Dan Zhou, Xinfeng Song, Jiayin Yang, Zijun Shi, Chang Li, Rongshan Zhang, Yanwen Zhang, Jun Yan, Jiuxing Zhu, Xuehui Li, Ying Gong, Min Wang, Chongzhi Yuan, Chunsu Cui, Yan Wu, Xiaohui Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics |
title | Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics |
title_full | Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics |
title_fullStr | Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics |
title_full_unstemmed | Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics |
title_short | Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics |
title_sort | study on the mechanism of american ginseng extract for treating type 2 diabetes mellitus based on metabolomics |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479495/ https://www.ncbi.nlm.nih.gov/pubmed/36120310 http://dx.doi.org/10.3389/fphar.2022.960050 |
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