Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics

Abstract Background Integrating systems biology is an approach for investigating metabolic diseases in humans. However, few studies use this approach to investigate the mechanism by which Rhizoma coptidis (RC) reduces the effect of lipids and glucose on high-fat induced obesity in rats. Methods Twen...

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Main Authors: Yanhua Ji, Kexin Luo, Jiri Mutu Zhang, Peng Ni, Wangping Xiong, Xiaoquan Luo, Guoliang Xu, Hongning Liu, Zhijun Zeng
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Complementary Medicine and Therapies
Subjects:
Online Access:https://doi.org/10.1186/s12906-021-03382-3
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author Yanhua Ji
Kexin Luo
Jiri Mutu Zhang
Peng Ni
Wangping Xiong
Xiaoquan Luo
Guoliang Xu
Hongning Liu
Zhijun Zeng
author_facet Yanhua Ji
Kexin Luo
Jiri Mutu Zhang
Peng Ni
Wangping Xiong
Xiaoquan Luo
Guoliang Xu
Hongning Liu
Zhijun Zeng
author_sort Yanhua Ji
collection DOAJ
description Abstract Background Integrating systems biology is an approach for investigating metabolic diseases in humans. However, few studies use this approach to investigate the mechanism by which Rhizoma coptidis (RC) reduces the effect of lipids and glucose on high-fat induced obesity in rats. Methods Twenty-four specific pathogen-free (SPF) male Sprague–Dawley rats (80 ± 10 g) were used in this study. Serum metabolomics were detected by ultra-high-performance liquid chromatography coupled with quadrupole-time-of-flight tandem mass spectrometry. Liver tissue and cecum feces were used for RNA-Seq technology and 16S rRNA gene sequencing, respectively. Results We identified nine potential biomarkers, which are differential metabolites in the Control, Model and RC groups, including linoleic acid, eicosapentaenoic acid, arachidonic acid, stearic acid, and L-Alloisoleucine (p < 0.01). The liver tissue gene expression profile indicated the circadian rhythm pathway was significantly affected by RC (Q ≤ 0.05). A total of 149 and 39 operational taxonomic units (OTUs), which were highly associated with biochemical indicators and potential biomarkers in the cecum samples (FDR ≤ 0.05), respectively, were identified. Conclusion This work provides information to better understand the mechanism of the effect of RC intervention on hyperlipidemia and hypoglycemic effects in obese rats. The present study demonstrates that integrating systems biology may be a powerful tool to reveal the complexity of metabolic diseases in rats intervened by traditional Chinese medicine.
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spelling doaj.art-c235fc2769884e63bb2bc87de7474dac2022-12-21T22:31:43ZengBMCBMC Complementary Medicine and Therapies2662-76712021-08-012111910.1186/s12906-021-03382-3Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomicsYanhua Ji0Kexin Luo1Jiri Mutu Zhang2Peng Ni3Wangping Xiong4Xiaoquan Luo5Guoliang Xu6Hongning Liu7Zhijun Zeng8Jiangxi Province Key Laboratory of TCM Etiopathogenisis, Research Center for Differention and Development of TCM Basic Theory, University of Jiangxi TCMJiangxi Province Key Laboratory of TCM Etiopathogenisis, Research Center for Differention and Development of TCM Basic Theory, University of Jiangxi TCMJiangxi Province Key Laboratory of TCM Etiopathogenisis, Research Center for Differention and Development of TCM Basic Theory, University of Jiangxi TCMJiangxi Province Key Laboratory of TCM Etiopathogenisis, Research Center for Differention and Development of TCM Basic Theory, University of Jiangxi TCMSchool of Computer, University of Jiangxi TCMLaboratory Animal Science and Technology Center, University of Jiangxi TCMJiangxi Province Key Laboratory of TCM Etiopathogenisis, Research Center for Differention and Development of TCM Basic Theory, University of Jiangxi TCMJiangxi Province Key Laboratory of TCM Etiopathogenisis, Research Center for Differention and Development of TCM Basic Theory, University of Jiangxi TCMJiangxi Province Key Laboratory of TCM Etiopathogenisis, Research Center for Differention and Development of TCM Basic Theory, University of Jiangxi TCMAbstract Background Integrating systems biology is an approach for investigating metabolic diseases in humans. However, few studies use this approach to investigate the mechanism by which Rhizoma coptidis (RC) reduces the effect of lipids and glucose on high-fat induced obesity in rats. Methods Twenty-four specific pathogen-free (SPF) male Sprague–Dawley rats (80 ± 10 g) were used in this study. Serum metabolomics were detected by ultra-high-performance liquid chromatography coupled with quadrupole-time-of-flight tandem mass spectrometry. Liver tissue and cecum feces were used for RNA-Seq technology and 16S rRNA gene sequencing, respectively. Results We identified nine potential biomarkers, which are differential metabolites in the Control, Model and RC groups, including linoleic acid, eicosapentaenoic acid, arachidonic acid, stearic acid, and L-Alloisoleucine (p < 0.01). The liver tissue gene expression profile indicated the circadian rhythm pathway was significantly affected by RC (Q ≤ 0.05). A total of 149 and 39 operational taxonomic units (OTUs), which were highly associated with biochemical indicators and potential biomarkers in the cecum samples (FDR ≤ 0.05), respectively, were identified. Conclusion This work provides information to better understand the mechanism of the effect of RC intervention on hyperlipidemia and hypoglycemic effects in obese rats. The present study demonstrates that integrating systems biology may be a powerful tool to reveal the complexity of metabolic diseases in rats intervened by traditional Chinese medicine.https://doi.org/10.1186/s12906-021-03382-3MetabolomicsObesityCircadian rhythmGut microbiomeRhizoma coptidis
spellingShingle Yanhua Ji
Kexin Luo
Jiri Mutu Zhang
Peng Ni
Wangping Xiong
Xiaoquan Luo
Guoliang Xu
Hongning Liu
Zhijun Zeng
Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics
BMC Complementary Medicine and Therapies
Metabolomics
Obesity
Circadian rhythm
Gut microbiome
Rhizoma coptidis
title Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics
title_full Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics
title_fullStr Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics
title_full_unstemmed Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics
title_short Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics
title_sort obese rats intervened with rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics
topic Metabolomics
Obesity
Circadian rhythm
Gut microbiome
Rhizoma coptidis
url https://doi.org/10.1186/s12906-021-03382-3
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