Scutellariae radix and coptidis rhizoma ameliorate glycolipid metabolism of type 2 diabetic rats by modulating gut microbiota and its metabolites
Scutellariae radix ( Scutellaria baicalensis Georgi, SR) and coptidis rhizoma ( Coptis chinensis Franch, CR) are both widely used traditional Chinese medicines and have been used together to treat T2DM with synergistic effects in the clinical practices for thousands of years, but their combination m...
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| description | Scutellariae radix (
Scutellaria baicalensis
Georgi, SR) and coptidis rhizoma (
Coptis chinensis
Franch, CR) are both widely used traditional Chinese medicines and have been used together to treat T2DM with synergistic effects in the clinical practices for thousands of years, but their combination mechanism is not clear. Accumulating evidences have implicated gut microbiota as important targets for the therapy of T2DM. Thus, this study aimed to unravel the cooperation mechanism of SR and CR on the amelioration of T2DM based on the systematic analysis of metagenome and metabolome of gut microbiota. Bacterial communities were analyzed based on high-throughput 16S rRNA gene sequencing. Furthermore, ultra high-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UPLC-Q-TOF-MS) was used to analyze variations of microbial metabolites in feces and the contents of short chain fatty acids (SCFAs) in the cecum were determined by a gaschromatography-flame ionization detector (GC-FID). 16S rRNA gene sequencing results revealed that T2DM rats treated with SR, CR, and the combination of SR and CR (SC) exhibited changes in the composition of the gut microbiota. The SCFAs-producing bacteria such as
Bacteroidales S24-7 group_norank
,
[Eubacterium] nodatum group
,
Parasutterella
,
Prevotellaceae UCG-001
,
Ruminiclostridium
, and
Ruminiclostridium 9
in T2DM rats were notably enriched after treatment with SR, CR, and their combination. In contrast, secondary bile acid-producing bacteria such as
Escherichia-Shigella
strongly decreased in numbers. The perturbance of metabolic profiling in T2DM rats was obviously improved after treatment, exhibiting a lower level of secondary bile acids and a numerical increase of microbially derived SCFAs. Moreover, the correlation analysis illustrated a close relationship among gut microbiota, its metabolites, and T2DM-related indexes. The findings indicated that the crosstalk between microbiota-derived metabolites and the host played an important role in the progress of T2DM and might provide a novel insight regarding gut microbiota and its metabolites as potential new targets of traditional Chinese medicines. Furthermore, this work also suggested that the integration of various omics methods and bioinformatics made a useful template for drug mechanism research. |
| doi_str_mv | 10.1007/s00253-019-10174-w |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2317586624</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A610542613</galeid><sourcerecordid>A610542613</sourcerecordid><originalsourceid>FETCH-LOGICAL-c542t-ac83d356f78ce53ce6b92a4bdcdcbbff7eff1e43119b8cfe4a1726a8d0cbfe883</originalsourceid><addsrcrecordid>eNp9kk1v1DAQhiMEokvhD3BAlrjAIcUfieM9VhWFSpWQKJwtf4yDqyQOtqN2-Rf843p3W2ARQj7Ymnnm9czoraqXBJ8QjLt3CWPashqTdU0w6Zr65lG1Ig2jNeakeVytSrCtu3YtjqpnKV1jTKjg_Gl1xEpCUCZW1c8rs2QYBhW9AhSV9bdITRaZMGdvfULxm_8RRoXUCIMPUWVA_bAxYfCzt2iErHR5pxEFh_JmBkSR9UpD9qbI5YT0Bo3BLoPKfupRv2Q0ehOD9iGr3Ve-QA86GdLz6olTQ4IX9_dx9fX8_Zezj_Xlpw8XZ6eXtWkbmmtlBLOs5a4TBlpmgOs1VY22xhqtnevAOQINI2SthXHQKNJRroTFRjsQgh1Xb_a6cwzfF0hZjj6Z7SomCEuSdLckzmlT0Nd_oddhiVPprlCM4Y7x9g-qVwNIP7mQozJbUXnKCS5dc8IKdfIPqhwLZS9hAudL_KDg7UFBYTLc5l4tKcmLq8-HLN2zZcEpRXByjn5UcSMJllvPyL1nZPGM3HlG3pSiV_fTLXoE-6vkwSQFYHsgldTUQ_w9_n9k7wA6lc6h</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2333073654</pqid></control><display><type>article</type><title>Scutellariae radix and coptidis rhizoma ameliorate glycolipid metabolism of type 2 diabetic rats by modulating gut microbiota and its metabolites</title><source>SpringerLink Journals</source><creator>Xiao, Suwei ; Liu, Chen ; Chen, Mengjun ; Zou, Junfeng ; Zhang, Zhimiao ; Cui, Xiang ; Jiang, Shu ; Shang, Erxin ; Qian, Dawei ; Duan, Jinao</creator><creatorcontrib>Xiao, Suwei ; Liu, Chen ; Chen, Mengjun ; Zou, Junfeng ; Zhang, Zhimiao ; Cui, Xiang ; Jiang, Shu ; Shang, Erxin ; Qian, Dawei ; Duan, Jinao</creatorcontrib><description>Scutellariae radix (
Scutellaria baicalensis
Georgi, SR) and coptidis rhizoma (
Coptis chinensis
Franch, CR) are both widely used traditional Chinese medicines and have been used together to treat T2DM with synergistic effects in the clinical practices for thousands of years, but their combination mechanism is not clear. Accumulating evidences have implicated gut microbiota as important targets for the therapy of T2DM. Thus, this study aimed to unravel the cooperation mechanism of SR and CR on the amelioration of T2DM based on the systematic analysis of metagenome and metabolome of gut microbiota. Bacterial communities were analyzed based on high-throughput 16S rRNA gene sequencing. Furthermore, ultra high-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UPLC-Q-TOF-MS) was used to analyze variations of microbial metabolites in feces and the contents of short chain fatty acids (SCFAs) in the cecum were determined by a gaschromatography-flame ionization detector (GC-FID). 16S rRNA gene sequencing results revealed that T2DM rats treated with SR, CR, and the combination of SR and CR (SC) exhibited changes in the composition of the gut microbiota. The SCFAs-producing bacteria such as
Bacteroidales S24-7 group_norank
,
[Eubacterium] nodatum group
,
Parasutterella
,
Prevotellaceae UCG-001
,
Ruminiclostridium
, and
Ruminiclostridium 9
in T2DM rats were notably enriched after treatment with SR, CR, and their combination. In contrast, secondary bile acid-producing bacteria such as
Escherichia-Shigella
strongly decreased in numbers. The perturbance of metabolic profiling in T2DM rats was obviously improved after treatment, exhibiting a lower level of secondary bile acids and a numerical increase of microbially derived SCFAs. Moreover, the correlation analysis illustrated a close relationship among gut microbiota, its metabolites, and T2DM-related indexes. The findings indicated that the crosstalk between microbiota-derived metabolites and the host played an important role in the progress of T2DM and might provide a novel insight regarding gut microbiota and its metabolites as potential new targets of traditional Chinese medicines. Furthermore, this work also suggested that the integration of various omics methods and bioinformatics made a useful template for drug mechanism research.</description><identifier>ISSN: 0175-7598</identifier><identifier>EISSN: 1432-0614</identifier><identifier>DOI: 10.1007/s00253-019-10174-w</identifier><identifier>PMID: 31758238</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied Microbial and Cell Physiology ; Bacteria ; Bile acids ; Bioinformatics ; Biomedical and Life Sciences ; Biotechnology ; Cecum ; Coliforms ; Correlation analysis ; Crosstalk ; Diabetes mellitus ; Fatty acids ; Flame ionization detectors ; Gene sequencing ; Herbal medicine ; High performance liquid chromatography ; Intestinal microflora ; Ionization ; Life Sciences ; Liquid chromatography ; Mass spectrometry ; Mass spectroscopy ; Metabolites ; Microbial Genetics and Genomics ; Microbiology ; Microbiota ; Microbiota (Symbiotic organisms) ; Microorganisms ; Performance indices ; Physiological aspects ; Quadrupoles ; RNA ; rRNA 16S ; Synergistic effect ; Traditional Chinese medicine ; Type 2 diabetes</subject><ispartof>Applied microbiology and biotechnology, 2020-01, Vol.104 (1), p.303-317</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Applied Microbiology and Biotechnology is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c542t-ac83d356f78ce53ce6b92a4bdcdcbbff7eff1e43119b8cfe4a1726a8d0cbfe883</citedby><cites>FETCH-LOGICAL-c542t-ac83d356f78ce53ce6b92a4bdcdcbbff7eff1e43119b8cfe4a1726a8d0cbfe883</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00253-019-10174-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00253-019-10174-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31758238$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xiao, Suwei</creatorcontrib><creatorcontrib>Liu, Chen</creatorcontrib><creatorcontrib>Chen, Mengjun</creatorcontrib><creatorcontrib>Zou, Junfeng</creatorcontrib><creatorcontrib>Zhang, Zhimiao</creatorcontrib><creatorcontrib>Cui, Xiang</creatorcontrib><creatorcontrib>Jiang, Shu</creatorcontrib><creatorcontrib>Shang, Erxin</creatorcontrib><creatorcontrib>Qian, Dawei</creatorcontrib><creatorcontrib>Duan, Jinao</creatorcontrib><title>Scutellariae radix and coptidis rhizoma ameliorate glycolipid metabolism of type 2 diabetic rats by modulating gut microbiota and its metabolites</title><title>Applied microbiology and biotechnology</title><addtitle>Appl Microbiol Biotechnol</addtitle><addtitle>Appl Microbiol Biotechnol</addtitle><description>Scutellariae radix (
Scutellaria baicalensis
Georgi, SR) and coptidis rhizoma (
Coptis chinensis
Franch, CR) are both widely used traditional Chinese medicines and have been used together to treat T2DM with synergistic effects in the clinical practices for thousands of years, but their combination mechanism is not clear. Accumulating evidences have implicated gut microbiota as important targets for the therapy of T2DM. Thus, this study aimed to unravel the cooperation mechanism of SR and CR on the amelioration of T2DM based on the systematic analysis of metagenome and metabolome of gut microbiota. Bacterial communities were analyzed based on high-throughput 16S rRNA gene sequencing. Furthermore, ultra high-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UPLC-Q-TOF-MS) was used to analyze variations of microbial metabolites in feces and the contents of short chain fatty acids (SCFAs) in the cecum were determined by a gaschromatography-flame ionization detector (GC-FID). 16S rRNA gene sequencing results revealed that T2DM rats treated with SR, CR, and the combination of SR and CR (SC) exhibited changes in the composition of the gut microbiota. The SCFAs-producing bacteria such as
Bacteroidales S24-7 group_norank
,
[Eubacterium] nodatum group
,
Parasutterella
,
Prevotellaceae UCG-001
,
Ruminiclostridium
, and
Ruminiclostridium 9
in T2DM rats were notably enriched after treatment with SR, CR, and their combination. In contrast, secondary bile acid-producing bacteria such as
Escherichia-Shigella
strongly decreased in numbers. The perturbance of metabolic profiling in T2DM rats was obviously improved after treatment, exhibiting a lower level of secondary bile acids and a numerical increase of microbially derived SCFAs. Moreover, the correlation analysis illustrated a close relationship among gut microbiota, its metabolites, and T2DM-related indexes. The findings indicated that the crosstalk between microbiota-derived metabolites and the host played an important role in the progress of T2DM and might provide a novel insight regarding gut microbiota and its metabolites as potential new targets of traditional Chinese medicines. Furthermore, this work also suggested that the integration of various omics methods and bioinformatics made a useful template for drug mechanism research.</description><subject>Applied Microbial and Cell Physiology</subject><subject>Bacteria</subject><subject>Bile acids</subject><subject>Bioinformatics</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Cecum</subject><subject>Coliforms</subject><subject>Correlation analysis</subject><subject>Crosstalk</subject><subject>Diabetes mellitus</subject><subject>Fatty acids</subject><subject>Flame ionization detectors</subject><subject>Gene sequencing</subject><subject>Herbal medicine</subject><subject>High performance liquid chromatography</subject><subject>Intestinal microflora</subject><subject>Ionization</subject><subject>Life Sciences</subject><subject>Liquid chromatography</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Metabolites</subject><subject>Microbial Genetics and Genomics</subject><subject>Microbiology</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Microorganisms</subject><subject>Performance indices</subject><subject>Physiological aspects</subject><subject>Quadrupoles</subject><subject>RNA</subject><subject>rRNA 16S</subject><subject>Synergistic effect</subject><subject>Traditional Chinese medicine</subject><subject>Type 2 diabetes</subject><issn>0175-7598</issn><issn>1432-0614</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kk1v1DAQhiMEokvhD3BAlrjAIcUfieM9VhWFSpWQKJwtf4yDqyQOtqN2-Rf843p3W2ARQj7Ymnnm9czoraqXBJ8QjLt3CWPashqTdU0w6Zr65lG1Ig2jNeakeVytSrCtu3YtjqpnKV1jTKjg_Gl1xEpCUCZW1c8rs2QYBhW9AhSV9bdITRaZMGdvfULxm_8RRoXUCIMPUWVA_bAxYfCzt2iErHR5pxEFh_JmBkSR9UpD9qbI5YT0Bo3BLoPKfupRv2Q0ehOD9iGr3Ve-QA86GdLz6olTQ4IX9_dx9fX8_Zezj_Xlpw8XZ6eXtWkbmmtlBLOs5a4TBlpmgOs1VY22xhqtnevAOQINI2SthXHQKNJRroTFRjsQgh1Xb_a6cwzfF0hZjj6Z7SomCEuSdLckzmlT0Nd_oddhiVPprlCM4Y7x9g-qVwNIP7mQozJbUXnKCS5dc8IKdfIPqhwLZS9hAudL_KDg7UFBYTLc5l4tKcmLq8-HLN2zZcEpRXByjn5UcSMJllvPyL1nZPGM3HlG3pSiV_fTLXoE-6vkwSQFYHsgldTUQ_w9_n9k7wA6lc6h</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Xiao, Suwei</creator><creator>Liu, Chen</creator><creator>Chen, Mengjun</creator><creator>Zou, 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radix and coptidis rhizoma ameliorate glycolipid metabolism of type 2 diabetic rats by modulating gut microbiota and its metabolites</title><author>Xiao, Suwei ; Liu, Chen ; Chen, Mengjun ; Zou, Junfeng ; Zhang, Zhimiao ; Cui, Xiang ; Jiang, Shu ; Shang, Erxin ; Qian, Dawei ; Duan, Jinao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c542t-ac83d356f78ce53ce6b92a4bdcdcbbff7eff1e43119b8cfe4a1726a8d0cbfe883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Applied Microbial and Cell Physiology</topic><topic>Bacteria</topic><topic>Bile acids</topic><topic>Bioinformatics</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Cecum</topic><topic>Coliforms</topic><topic>Correlation analysis</topic><topic>Crosstalk</topic><topic>Diabetes mellitus</topic><topic>Fatty acids</topic><topic>Flame ionization detectors</topic><topic>Gene sequencing</topic><topic>Herbal medicine</topic><topic>High performance liquid chromatography</topic><topic>Intestinal microflora</topic><topic>Ionization</topic><topic>Life Sciences</topic><topic>Liquid chromatography</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Metabolites</topic><topic>Microbial Genetics and Genomics</topic><topic>Microbiology</topic><topic>Microbiota</topic><topic>Microbiota (Symbiotic organisms)</topic><topic>Microorganisms</topic><topic>Performance indices</topic><topic>Physiological aspects</topic><topic>Quadrupoles</topic><topic>RNA</topic><topic>rRNA 16S</topic><topic>Synergistic effect</topic><topic>Traditional Chinese medicine</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiao, Suwei</creatorcontrib><creatorcontrib>Liu, Chen</creatorcontrib><creatorcontrib>Chen, Mengjun</creatorcontrib><creatorcontrib>Zou, 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Jinao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Scutellariae radix and coptidis rhizoma ameliorate glycolipid metabolism of type 2 diabetic rats by modulating gut microbiota and its metabolites</atitle><jtitle>Applied microbiology and biotechnology</jtitle><stitle>Appl Microbiol Biotechnol</stitle><addtitle>Appl Microbiol Biotechnol</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>104</volume><issue>1</issue><spage>303</spage><epage>317</epage><pages>303-317</pages><issn>0175-7598</issn><eissn>1432-0614</eissn><abstract>Scutellariae radix (
Scutellaria baicalensis
Georgi, SR) and coptidis rhizoma (
Coptis chinensis
Franch, CR) are both widely used traditional Chinese medicines and have been used together to treat T2DM with synergistic effects in the clinical practices for thousands of years, but their combination mechanism is not clear. Accumulating evidences have implicated gut microbiota as important targets for the therapy of T2DM. Thus, this study aimed to unravel the cooperation mechanism of SR and CR on the amelioration of T2DM based on the systematic analysis of metagenome and metabolome of gut microbiota. Bacterial communities were analyzed based on high-throughput 16S rRNA gene sequencing. Furthermore, ultra high-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UPLC-Q-TOF-MS) was used to analyze variations of microbial metabolites in feces and the contents of short chain fatty acids (SCFAs) in the cecum were determined by a gaschromatography-flame ionization detector (GC-FID). 16S rRNA gene sequencing results revealed that T2DM rats treated with SR, CR, and the combination of SR and CR (SC) exhibited changes in the composition of the gut microbiota. The SCFAs-producing bacteria such as
Bacteroidales S24-7 group_norank
,
[Eubacterium] nodatum group
,
Parasutterella
,
Prevotellaceae UCG-001
,
Ruminiclostridium
, and
Ruminiclostridium 9
in T2DM rats were notably enriched after treatment with SR, CR, and their combination. In contrast, secondary bile acid-producing bacteria such as
Escherichia-Shigella
strongly decreased in numbers. The perturbance of metabolic profiling in T2DM rats was obviously improved after treatment, exhibiting a lower level of secondary bile acids and a numerical increase of microbially derived SCFAs. Moreover, the correlation analysis illustrated a close relationship among gut microbiota, its metabolites, and T2DM-related indexes. The findings indicated that the crosstalk between microbiota-derived metabolites and the host played an important role in the progress of T2DM and might provide a novel insight regarding gut microbiota and its metabolites as potential new targets of traditional Chinese medicines. Furthermore, this work also suggested that the integration of various omics methods and bioinformatics made a useful template for drug mechanism research.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31758238</pmid><doi>10.1007/s00253-019-10174-w</doi><tpages>15</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0175-7598 |
| ispartof | Applied microbiology and biotechnology, 2020-01, Vol.104 (1), p.303-317 |
| issn | 0175-7598 1432-0614 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2317586624 |
| source | SpringerLink Journals |
| subjects | Applied Microbial and Cell Physiology Bacteria Bile acids Bioinformatics Biomedical and Life Sciences Biotechnology Cecum Coliforms Correlation analysis Crosstalk Diabetes mellitus Fatty acids Flame ionization detectors Gene sequencing Herbal medicine High performance liquid chromatography Intestinal microflora Ionization Life Sciences Liquid chromatography Mass spectrometry Mass spectroscopy Metabolites Microbial Genetics and Genomics Microbiology Microbiota Microbiota (Symbiotic organisms) Microorganisms Performance indices Physiological aspects Quadrupoles RNA rRNA 16S Synergistic effect Traditional Chinese medicine Type 2 diabetes |
| title | Scutellariae radix and coptidis rhizoma ameliorate glycolipid metabolism of type 2 diabetic rats by modulating gut microbiota and its metabolites |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T07%3A30%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Scutellariae%20radix%20and%20coptidis%20rhizoma%20ameliorate%20glycolipid%20metabolism%20of%20type%202%20diabetic%20rats%20by%20modulating%20gut%20microbiota%20and%20its%20metabolites&rft.jtitle=Applied%20microbiology%20and%20biotechnology&rft.au=Xiao,%20Suwei&rft.date=2020-01-01&rft.volume=104&rft.issue=1&rft.spage=303&rft.epage=317&rft.pages=303-317&rft.issn=0175-7598&rft.eissn=1432-0614&rft_id=info:doi/10.1007/s00253-019-10174-w&rft_dat=%3Cgale_proqu%3EA610542613%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2333073654&rft_id=info:pmid/31758238&rft_galeid=A610542613&rfr_iscdi=true |