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16S rRNA gene sequencing analysis of gut microbiome in a mini‐pig diabetes model
BACKGROUND: Currently, increasing attention is being paid to the important role of intestinal microbiome in diabetes. However, few studies have evaluated the characteristics of gut microbiome in diabetic miniature pigs, despite it being a good model animal for assessing diabetes. METHODS: In this st...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879634/ https://www.ncbi.nlm.nih.gov/pubmed/35213788 http://dx.doi.org/10.1002/ame2.12202 |
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author | Niu, Miaomiao Zhao, Yuqiong Xiang, Lei Jia, Yunxiao Yuan, Jifang Dai, Xin Chen, Hua |
author_facet | Niu, Miaomiao Zhao, Yuqiong Xiang, Lei Jia, Yunxiao Yuan, Jifang Dai, Xin Chen, Hua |
author_sort | Niu, Miaomiao |
collection | PubMed |
description | BACKGROUND: Currently, increasing attention is being paid to the important role of intestinal microbiome in diabetes. However, few studies have evaluated the characteristics of gut microbiome in diabetic miniature pigs, despite it being a good model animal for assessing diabetes. METHODS: In this study, a mini‐pig diabetes model (DM) was established by 9‐month high‐fat diet (HFD) combined with low‐dose streptozotocin, while the animals fed standard chow diet constituted the control group. 16S ribosomal RNA (rRNA) gene sequencing was performed to assess the characteristics of the intestinal microbiome in diabetic mini‐pigs. RESULTS: The results showed that microbial structure in diabetic mini‐pigs was altered, reflected by increases in levels of Coprococcus_3 and Clostridium_sensu_stricto_1, which were positively correlated with diabetes, and decreases in levels of the bacteria Rikenellaceae, Clostridiales_vadinBB60_group, and Bacteroidales_RF16_group, which were inversely correlated with blood glucose and insulin resistance. Moreover, PICRUSt‐predicted pathways related to the glycolysis and Entner‐Doudoroff superpathway, enterobactin biosynthesis, and the l‐tryptophan biosynthesis were significantly elevated in the DM group. CONCLUSION: These results reveal the composition and predictive functions of the intestinal microbiome in the mini‐pig diabetes model, further verifying the relationship between HFD, gut microbiome, and diabetes, and providing novel insights into the application of the mini‐pig diabetes model in gut microbiome research. |
format | Online Article Text |
id | pubmed-8879634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88796342022-03-01 16S rRNA gene sequencing analysis of gut microbiome in a mini‐pig diabetes model Niu, Miaomiao Zhao, Yuqiong Xiang, Lei Jia, Yunxiao Yuan, Jifang Dai, Xin Chen, Hua Animal Model Exp Med Regular Articles BACKGROUND: Currently, increasing attention is being paid to the important role of intestinal microbiome in diabetes. However, few studies have evaluated the characteristics of gut microbiome in diabetic miniature pigs, despite it being a good model animal for assessing diabetes. METHODS: In this study, a mini‐pig diabetes model (DM) was established by 9‐month high‐fat diet (HFD) combined with low‐dose streptozotocin, while the animals fed standard chow diet constituted the control group. 16S ribosomal RNA (rRNA) gene sequencing was performed to assess the characteristics of the intestinal microbiome in diabetic mini‐pigs. RESULTS: The results showed that microbial structure in diabetic mini‐pigs was altered, reflected by increases in levels of Coprococcus_3 and Clostridium_sensu_stricto_1, which were positively correlated with diabetes, and decreases in levels of the bacteria Rikenellaceae, Clostridiales_vadinBB60_group, and Bacteroidales_RF16_group, which were inversely correlated with blood glucose and insulin resistance. Moreover, PICRUSt‐predicted pathways related to the glycolysis and Entner‐Doudoroff superpathway, enterobactin biosynthesis, and the l‐tryptophan biosynthesis were significantly elevated in the DM group. CONCLUSION: These results reveal the composition and predictive functions of the intestinal microbiome in the mini‐pig diabetes model, further verifying the relationship between HFD, gut microbiome, and diabetes, and providing novel insights into the application of the mini‐pig diabetes model in gut microbiome research. John Wiley and Sons Inc. 2022-02-25 /pmc/articles/PMC8879634/ /pubmed/35213788 http://dx.doi.org/10.1002/ame2.12202 Text en © 2022 The Authors. Animal Models and Experimental Medicine published by John Wiley & Sons Australia, Ltd on behalf of The Chinese Association for Laboratory Animal Sciences. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Regular Articles Niu, Miaomiao Zhao, Yuqiong Xiang, Lei Jia, Yunxiao Yuan, Jifang Dai, Xin Chen, Hua 16S rRNA gene sequencing analysis of gut microbiome in a mini‐pig diabetes model |
title | 16S rRNA gene sequencing analysis of gut microbiome in a mini‐pig diabetes model |
title_full | 16S rRNA gene sequencing analysis of gut microbiome in a mini‐pig diabetes model |
title_fullStr | 16S rRNA gene sequencing analysis of gut microbiome in a mini‐pig diabetes model |
title_full_unstemmed | 16S rRNA gene sequencing analysis of gut microbiome in a mini‐pig diabetes model |
title_short | 16S rRNA gene sequencing analysis of gut microbiome in a mini‐pig diabetes model |
title_sort | 16s rrna gene sequencing analysis of gut microbiome in a mini‐pig diabetes model |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879634/ https://www.ncbi.nlm.nih.gov/pubmed/35213788 http://dx.doi.org/10.1002/ame2.12202 |
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