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Effects of Herbal Therapy on Intestinal Microbiota and Serum Metabolomics in Different Rat Models of Mongolian Medicine

OBJECTIVE: Heyi disease, Xila disease, and Badagan disease are three common diseases in Mongolian medicine. The changes in intestinal microbiota may be associated with the occurrence, development, and treatment of these diseases. This study aimed to investigate the effects of herbal treatment on int...

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Autores principales: Jiu, Guniang, Dao, Riao, Wu, Dongxing, Hung, Wang, Jin, Haburi, Li, Li, Fu, Xiquan, Sa, Chula, Eerdunchaolu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170395/
https://www.ncbi.nlm.nih.gov/pubmed/35677380
http://dx.doi.org/10.1155/2022/7255780
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author Jiu, Guniang
Dao, Riao
Wu, Dongxing
Hung, Wang
Jin, Haburi
Li, Li
Fu, Xiquan
Sa, Chula
Eerdunchaolu,
author_facet Jiu, Guniang
Dao, Riao
Wu, Dongxing
Hung, Wang
Jin, Haburi
Li, Li
Fu, Xiquan
Sa, Chula
Eerdunchaolu,
author_sort Jiu, Guniang
collection PubMed
description OBJECTIVE: Heyi disease, Xila disease, and Badagan disease are three common diseases in Mongolian medicine. The changes in intestinal microbiota may be associated with the occurrence, development, and treatment of these diseases. This study aimed to investigate the effects of herbal treatment on intestinal microbiota and serum metabolites in rats with these three diseases. METHODS: Firstly, Heyi, Xila, and Badagan disease model rats were established by environmental, diet, and drug intervention. Then, 16S rRNA gene sequencing and metabolomics analysis were used to analyze the changes in intestinal microbiota and serum metabolites after treatment. PICRUSt analysis was applied to predict the potential functions of intestinal microbiota, and OPLS-DA multivariate model was applied to screen differential serum metabolites. RESULTS: 16S rRNA gene sequencing showed that herbal treatment significantly increased the species diversity and changed the composition of intestinal microbiota in Heyi disease and Xila disease rats. After treatment, there were 10, 9, and 3 bacterial biomarkers that were increased in Heyi, Xila, and Badagan disease rats, respectively. In the Heyi disease model, treatment resulted in 45 differential serum metabolites, involving 4 pathways. In the Badagan disease model, treatment resulted in 62 differential serum metabolites, involving 4 pathways. However, there was no significant difference in serum metabolites between TreatB and ConB in the Xila disease model. CONCLUSIONS: Herbal treatment significantly changed the intestinal microbiota and serum metabolites of rats with three Mongolian medicine diseases.
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spelling pubmed-91703952022-06-07 Effects of Herbal Therapy on Intestinal Microbiota and Serum Metabolomics in Different Rat Models of Mongolian Medicine Jiu, Guniang Dao, Riao Wu, Dongxing Hung, Wang Jin, Haburi Li, Li Fu, Xiquan Sa, Chula Eerdunchaolu, Evid Based Complement Alternat Med Research Article OBJECTIVE: Heyi disease, Xila disease, and Badagan disease are three common diseases in Mongolian medicine. The changes in intestinal microbiota may be associated with the occurrence, development, and treatment of these diseases. This study aimed to investigate the effects of herbal treatment on intestinal microbiota and serum metabolites in rats with these three diseases. METHODS: Firstly, Heyi, Xila, and Badagan disease model rats were established by environmental, diet, and drug intervention. Then, 16S rRNA gene sequencing and metabolomics analysis were used to analyze the changes in intestinal microbiota and serum metabolites after treatment. PICRUSt analysis was applied to predict the potential functions of intestinal microbiota, and OPLS-DA multivariate model was applied to screen differential serum metabolites. RESULTS: 16S rRNA gene sequencing showed that herbal treatment significantly increased the species diversity and changed the composition of intestinal microbiota in Heyi disease and Xila disease rats. After treatment, there were 10, 9, and 3 bacterial biomarkers that were increased in Heyi, Xila, and Badagan disease rats, respectively. In the Heyi disease model, treatment resulted in 45 differential serum metabolites, involving 4 pathways. In the Badagan disease model, treatment resulted in 62 differential serum metabolites, involving 4 pathways. However, there was no significant difference in serum metabolites between TreatB and ConB in the Xila disease model. CONCLUSIONS: Herbal treatment significantly changed the intestinal microbiota and serum metabolites of rats with three Mongolian medicine diseases. Hindawi 2022-05-30 /pmc/articles/PMC9170395/ /pubmed/35677380 http://dx.doi.org/10.1155/2022/7255780 Text en Copyright © 2022 Guniang Jiu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jiu, Guniang
Dao, Riao
Wu, Dongxing
Hung, Wang
Jin, Haburi
Li, Li
Fu, Xiquan
Sa, Chula
Eerdunchaolu,
Effects of Herbal Therapy on Intestinal Microbiota and Serum Metabolomics in Different Rat Models of Mongolian Medicine
title Effects of Herbal Therapy on Intestinal Microbiota and Serum Metabolomics in Different Rat Models of Mongolian Medicine
title_full Effects of Herbal Therapy on Intestinal Microbiota and Serum Metabolomics in Different Rat Models of Mongolian Medicine
title_fullStr Effects of Herbal Therapy on Intestinal Microbiota and Serum Metabolomics in Different Rat Models of Mongolian Medicine
title_full_unstemmed Effects of Herbal Therapy on Intestinal Microbiota and Serum Metabolomics in Different Rat Models of Mongolian Medicine
title_short Effects of Herbal Therapy on Intestinal Microbiota and Serum Metabolomics in Different Rat Models of Mongolian Medicine
title_sort effects of herbal therapy on intestinal microbiota and serum metabolomics in different rat models of mongolian medicine
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170395/
https://www.ncbi.nlm.nih.gov/pubmed/35677380
http://dx.doi.org/10.1155/2022/7255780
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