Gut Microbiota Profile of Obese Diabetic Women Submitted to Roux-en-Y Gastric Bypass and Its Association with Food Intake and Postoperative Diabetes Remission
Gut microbiota composition is influenced by environmental factors and has been shown to impact body metabolism. To assess the gut microbiota profile before and after Roux-en-Y gastric bypass (RYGB) and the correlation with food intake and postoperative type 2 diabetes remission (T2Dr). Gut microbiot...
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| Veröffentlicht in: | Nutrients 2020-01, Vol.12 (2), p.278 |
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| creator | Al Assal, Karina Prifti, Edi Belda, Eugeni Sala, Priscila Clément, Karine Dao, Maria-Carlota Doré, Joel Levenez, Florence Taddei, Carla R Fonseca, Danielle Cristina Rocha, Ilanna Marques Balmant, Bianca Depieri Thomas, Andrew Maltez Santo, Marco A Dias-Neto, Emmanuel Setubal, João Carlos Zucker, Jean-Daniel Belarmino, Giliane Torrinhas, Raquel Susana Waitzberg, Dan L |
| description | Gut microbiota composition is influenced by environmental factors and has been shown to impact body metabolism.
To assess the gut microbiota profile before and after Roux-en-Y gastric bypass (RYGB) and the correlation with food intake and postoperative type 2 diabetes remission (T2Dr).
Gut microbiota profile from obese diabetic women was evaluated before (
= 25) and 3 (
= 20) and 12 months (
= 14) after RYGB, using MiSeq Illumina-based V4 bacterial
gene profiling. Data on food intake (7-day record) and T2Dr (American Diabetes Association (ADA) criteria) were recorded.
Preoperatively, the abundance of five bacteria genera differed between patients with (57%) and without T2Dr (
< 0.050). Preoperative gut bacteria genus signature was able to predict the T2Dr status with 0.94 accuracy ROC curve (receiver operating characteristic curve). Postoperatively (vs. preoperative), the relative abundance of some gut bacteria genera changed, the gut microbial richness increased, and the
to
ratio (rFB) decreased (
< 0.05) regardless of T2Dr. Richness levels was correlated with dietary profile pre and postoperatively, mainly displaying positive and inverse correlations with fiber and lipid intakes, respectively (
< 0.05).
Gut microbiota profile was influenced by RYGB and correlated with diet and T2Dr preoperatively, suggesting the possibility to assess its composition to predict postoperative T2Dr. |
| doi_str_mv | 10.3390/nu12020278 |
| format | Article |
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To assess the gut microbiota profile before and after Roux-en-Y gastric bypass (RYGB) and the correlation with food intake and postoperative type 2 diabetes remission (T2Dr).
Gut microbiota profile from obese diabetic women was evaluated before (
= 25) and 3 (
= 20) and 12 months (
= 14) after RYGB, using MiSeq Illumina-based V4 bacterial
gene profiling. Data on food intake (7-day record) and T2Dr (American Diabetes Association (ADA) criteria) were recorded.
Preoperatively, the abundance of five bacteria genera differed between patients with (57%) and without T2Dr (
< 0.050). Preoperative gut bacteria genus signature was able to predict the T2Dr status with 0.94 accuracy ROC curve (receiver operating characteristic curve). Postoperatively (vs. preoperative), the relative abundance of some gut bacteria genera changed, the gut microbial richness increased, and the
to
ratio (rFB) decreased (
< 0.05) regardless of T2Dr. Richness levels was correlated with dietary profile pre and postoperatively, mainly displaying positive and inverse correlations with fiber and lipid intakes, respectively (
< 0.05).
Gut microbiota profile was influenced by RYGB and correlated with diet and T2Dr preoperatively, suggesting the possibility to assess its composition to predict postoperative T2Dr.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu12020278</identifier><identifier>PMID: 31973130</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Abundance ; Adult ; Bacteria ; Composition ; Correlation ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - etiology ; Diabetes Mellitus, Type 2 - microbiology ; Diabetes Mellitus, Type 2 - surgery ; Eating - physiology ; Endocrinology and metabolism ; Environmental factors ; Feces ; Female ; Food ; Food and Nutrition ; Food intake ; Gastric Bypass ; Gastrointestinal Microbiome - genetics ; Gastrointestinal Microbiome - physiology ; Gastrointestinal surgery ; Human health and pathology ; Humans ; Insulin resistance ; Intestinal microflora ; Laboratories ; Life Sciences ; Lipids ; Lipoproteins ; Metabolism ; Microbiota ; Microorganisms ; Middle Aged ; Obesity ; Obesity, Morbid - complications ; Obesity, Morbid - microbiology ; Obesity, Morbid - surgery ; Peptides ; Postoperative Period ; Relative abundance ; Remission ; Remission (Medicine) ; Remission Induction ; RNA, Ribosomal, 16S - analysis ; rRNA 16S ; Software ; Treatment Outcome ; Weight control</subject><ispartof>Nutrients, 2020-01, Vol.12 (2), p.278</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-2e92a45849ec797b0fe6949477935a4f629a12d8b3ca0ca2972dc7ccd8c9eb033</citedby><cites>FETCH-LOGICAL-c510t-2e92a45849ec797b0fe6949477935a4f629a12d8b3ca0ca2972dc7ccd8c9eb033</cites><orcidid>0000-0001-5789-3354 ; 0000-0003-2945-6872 ; 0000-0001-9174-2816 ; 0000-0003-0869-0651 ; 0000-0001-6284-7352 ; 0000-0003-4307-5072 ; 0000-0001-8861-1305 ; 0000-0001-5670-8559 ; 0000-0002-5597-7922 ; 0000-0002-8756-0718</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071117/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071117/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31973130$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-02552682$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Al Assal, Karina</creatorcontrib><creatorcontrib>Prifti, Edi</creatorcontrib><creatorcontrib>Belda, Eugeni</creatorcontrib><creatorcontrib>Sala, Priscila</creatorcontrib><creatorcontrib>Clément, Karine</creatorcontrib><creatorcontrib>Dao, Maria-Carlota</creatorcontrib><creatorcontrib>Doré, Joel</creatorcontrib><creatorcontrib>Levenez, Florence</creatorcontrib><creatorcontrib>Taddei, Carla R</creatorcontrib><creatorcontrib>Fonseca, Danielle Cristina</creatorcontrib><creatorcontrib>Rocha, Ilanna Marques</creatorcontrib><creatorcontrib>Balmant, Bianca Depieri</creatorcontrib><creatorcontrib>Thomas, Andrew Maltez</creatorcontrib><creatorcontrib>Santo, Marco A</creatorcontrib><creatorcontrib>Dias-Neto, Emmanuel</creatorcontrib><creatorcontrib>Setubal, João Carlos</creatorcontrib><creatorcontrib>Zucker, Jean-Daniel</creatorcontrib><creatorcontrib>Belarmino, Giliane</creatorcontrib><creatorcontrib>Torrinhas, Raquel Susana</creatorcontrib><creatorcontrib>Waitzberg, Dan L</creatorcontrib><title>Gut Microbiota Profile of Obese Diabetic Women Submitted to Roux-en-Y Gastric Bypass and Its Association with Food Intake and Postoperative Diabetes Remission</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>Gut microbiota composition is influenced by environmental factors and has been shown to impact body metabolism.
To assess the gut microbiota profile before and after Roux-en-Y gastric bypass (RYGB) and the correlation with food intake and postoperative type 2 diabetes remission (T2Dr).
Gut microbiota profile from obese diabetic women was evaluated before (
= 25) and 3 (
= 20) and 12 months (
= 14) after RYGB, using MiSeq Illumina-based V4 bacterial
gene profiling. Data on food intake (7-day record) and T2Dr (American Diabetes Association (ADA) criteria) were recorded.
Preoperatively, the abundance of five bacteria genera differed between patients with (57%) and without T2Dr (
< 0.050). Preoperative gut bacteria genus signature was able to predict the T2Dr status with 0.94 accuracy ROC curve (receiver operating characteristic curve). Postoperatively (vs. preoperative), the relative abundance of some gut bacteria genera changed, the gut microbial richness increased, and the
to
ratio (rFB) decreased (
< 0.05) regardless of T2Dr. Richness levels was correlated with dietary profile pre and postoperatively, mainly displaying positive and inverse correlations with fiber and lipid intakes, respectively (
< 0.05).
Gut microbiota profile was influenced by RYGB and correlated with diet and T2Dr preoperatively, suggesting the possibility to assess its composition to predict postoperative T2Dr.</description><subject>Abundance</subject><subject>Adult</subject><subject>Bacteria</subject><subject>Composition</subject><subject>Correlation</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - etiology</subject><subject>Diabetes Mellitus, Type 2 - microbiology</subject><subject>Diabetes Mellitus, Type 2 - surgery</subject><subject>Eating - physiology</subject><subject>Endocrinology and metabolism</subject><subject>Environmental factors</subject><subject>Feces</subject><subject>Female</subject><subject>Food</subject><subject>Food and Nutrition</subject><subject>Food intake</subject><subject>Gastric Bypass</subject><subject>Gastrointestinal Microbiome - genetics</subject><subject>Gastrointestinal Microbiome - physiology</subject><subject>Gastrointestinal surgery</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Insulin resistance</subject><subject>Intestinal microflora</subject><subject>Laboratories</subject><subject>Life Sciences</subject><subject>Lipids</subject><subject>Lipoproteins</subject><subject>Metabolism</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Obesity, Morbid - complications</subject><subject>Obesity, Morbid - microbiology</subject><subject>Obesity, Morbid - surgery</subject><subject>Peptides</subject><subject>Postoperative Period</subject><subject>Relative abundance</subject><subject>Remission</subject><subject>Remission (Medicine)</subject><subject>Remission Induction</subject><subject>RNA, Ribosomal, 16S - analysis</subject><subject>rRNA 16S</subject><subject>Software</subject><subject>Treatment Outcome</subject><subject>Weight control</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkdtOGzEQhi3UChDlhgeoLPWqSFt82F2vbyoFWgJSEIi2Qr2yvN7ZxjSxg-1Ny8v0WXEIx9oXHnm--cfjH6E9Sj5xLsmBGygjeYtmA20zIlhR1yV_8yLeQrsxXpPVEkTUfBNtcSoFp5xso3_jIeEza4JvrU8aXwTf2xlg3-PzFiLgL1a3kKzBV34ODn8b2rlNCTqcPL70w98CXPETj3VMIUOHtwsdI9auw6cp4lGM3lidrHf4j01TfOx9zrikf8M9dOFj8gsIGVk-9oKIL2FuY8xV79DbXs8i7D6cO-jH8dfvRyfF5Hx8ejSaFKaiJBUMJNNl1ZQSjJCiJT3UspSlEJJXuuxrJjVlXdNyo4nRTArWGWFM1xgJLeF8B31e6y7yfNAZcCnomVoEO9fhVnlt1euMs1P1yy9V_lFKqcgCH9cC0__KTkYTtbojrKpY3bAlzeyHh2bB3wwQk7r2Q3B5PsW4rAhreF1lan9NZW9iDNA_yVKiVtarZ-sz_P7l-5_QR6P5HSlOqro</recordid><startdate>20200121</startdate><enddate>20200121</enddate><creator>Al Assal, Karina</creator><creator>Prifti, Edi</creator><creator>Belda, Eugeni</creator><creator>Sala, Priscila</creator><creator>Clément, Karine</creator><creator>Dao, Maria-Carlota</creator><creator>Doré, Joel</creator><creator>Levenez, Florence</creator><creator>Taddei, Carla R</creator><creator>Fonseca, Danielle Cristina</creator><creator>Rocha, Ilanna Marques</creator><creator>Balmant, Bianca Depieri</creator><creator>Thomas, Andrew Maltez</creator><creator>Santo, Marco A</creator><creator>Dias-Neto, Emmanuel</creator><creator>Setubal, João Carlos</creator><creator>Zucker, Jean-Daniel</creator><creator>Belarmino, Giliane</creator><creator>Torrinhas, Raquel Susana</creator><creator>Waitzberg, Dan L</creator><general>MDPI 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Microbiota Profile of Obese Diabetic Women Submitted to Roux-en-Y Gastric Bypass and Its Association with Food Intake and Postoperative Diabetes Remission</title><author>Al Assal, Karina ; Prifti, Edi ; Belda, Eugeni ; Sala, Priscila ; Clément, Karine ; Dao, Maria-Carlota ; Doré, Joel ; Levenez, Florence ; Taddei, Carla R ; Fonseca, Danielle Cristina ; Rocha, Ilanna Marques ; Balmant, Bianca Depieri ; Thomas, Andrew Maltez ; Santo, Marco A ; Dias-Neto, Emmanuel ; Setubal, João Carlos ; Zucker, Jean-Daniel ; Belarmino, Giliane ; Torrinhas, Raquel Susana ; Waitzberg, Dan 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genetics</topic><topic>Gastrointestinal Microbiome - physiology</topic><topic>Gastrointestinal surgery</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Insulin resistance</topic><topic>Intestinal microflora</topic><topic>Laboratories</topic><topic>Life Sciences</topic><topic>Lipids</topic><topic>Lipoproteins</topic><topic>Metabolism</topic><topic>Microbiota</topic><topic>Microorganisms</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Obesity, Morbid - complications</topic><topic>Obesity, Morbid - microbiology</topic><topic>Obesity, Morbid - surgery</topic><topic>Peptides</topic><topic>Postoperative Period</topic><topic>Relative abundance</topic><topic>Remission</topic><topic>Remission (Medicine)</topic><topic>Remission Induction</topic><topic>RNA, Ribosomal, 16S - analysis</topic><topic>rRNA 16S</topic><topic>Software</topic><topic>Treatment Outcome</topic><topic>Weight 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titles)</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Al Assal, Karina</au><au>Prifti, Edi</au><au>Belda, Eugeni</au><au>Sala, Priscila</au><au>Clément, Karine</au><au>Dao, Maria-Carlota</au><au>Doré, Joel</au><au>Levenez, Florence</au><au>Taddei, Carla R</au><au>Fonseca, Danielle Cristina</au><au>Rocha, Ilanna Marques</au><au>Balmant, Bianca Depieri</au><au>Thomas, Andrew Maltez</au><au>Santo, Marco A</au><au>Dias-Neto, Emmanuel</au><au>Setubal, João Carlos</au><au>Zucker, Jean-Daniel</au><au>Belarmino, Giliane</au><au>Torrinhas, Raquel Susana</au><au>Waitzberg, Dan L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gut Microbiota Profile of Obese Diabetic Women Submitted to Roux-en-Y Gastric Bypass and Its Association with Food Intake and Postoperative Diabetes Remission</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2020-01-21</date><risdate>2020</risdate><volume>12</volume><issue>2</issue><spage>278</spage><pages>278-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>Gut microbiota composition is influenced by environmental factors and has been shown to impact body metabolism.
To assess the gut microbiota profile before and after Roux-en-Y gastric bypass (RYGB) and the correlation with food intake and postoperative type 2 diabetes remission (T2Dr).
Gut microbiota profile from obese diabetic women was evaluated before (
= 25) and 3 (
= 20) and 12 months (
= 14) after RYGB, using MiSeq Illumina-based V4 bacterial
gene profiling. Data on food intake (7-day record) and T2Dr (American Diabetes Association (ADA) criteria) were recorded.
Preoperatively, the abundance of five bacteria genera differed between patients with (57%) and without T2Dr (
< 0.050). Preoperative gut bacteria genus signature was able to predict the T2Dr status with 0.94 accuracy ROC curve (receiver operating characteristic curve). Postoperatively (vs. preoperative), the relative abundance of some gut bacteria genera changed, the gut microbial richness increased, and the
to
ratio (rFB) decreased (
< 0.05) regardless of T2Dr. Richness levels was correlated with dietary profile pre and postoperatively, mainly displaying positive and inverse correlations with fiber and lipid intakes, respectively (
< 0.05).
Gut microbiota profile was influenced by RYGB and correlated with diet and T2Dr preoperatively, suggesting the possibility to assess its composition to predict postoperative T2Dr.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>31973130</pmid><doi>10.3390/nu12020278</doi><orcidid>https://orcid.org/0000-0001-5789-3354</orcidid><orcidid>https://orcid.org/0000-0003-2945-6872</orcidid><orcidid>https://orcid.org/0000-0001-9174-2816</orcidid><orcidid>https://orcid.org/0000-0003-0869-0651</orcidid><orcidid>https://orcid.org/0000-0001-6284-7352</orcidid><orcidid>https://orcid.org/0000-0003-4307-5072</orcidid><orcidid>https://orcid.org/0000-0001-8861-1305</orcidid><orcidid>https://orcid.org/0000-0001-5670-8559</orcidid><orcidid>https://orcid.org/0000-0002-5597-7922</orcidid><orcidid>https://orcid.org/0000-0002-8756-0718</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Nutrients, 2020-01, Vol.12 (2), p.278 |
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| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7071117 |
| source | MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
| subjects | Abundance Adult Bacteria Composition Correlation Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - etiology Diabetes Mellitus, Type 2 - microbiology Diabetes Mellitus, Type 2 - surgery Eating - physiology Endocrinology and metabolism Environmental factors Feces Female Food Food and Nutrition Food intake Gastric Bypass Gastrointestinal Microbiome - genetics Gastrointestinal Microbiome - physiology Gastrointestinal surgery Human health and pathology Humans Insulin resistance Intestinal microflora Laboratories Life Sciences Lipids Lipoproteins Metabolism Microbiota Microorganisms Middle Aged Obesity Obesity, Morbid - complications Obesity, Morbid - microbiology Obesity, Morbid - surgery Peptides Postoperative Period Relative abundance Remission Remission (Medicine) Remission Induction RNA, Ribosomal, 16S - analysis rRNA 16S Software Treatment Outcome Weight control |
| title | Gut Microbiota Profile of Obese Diabetic Women Submitted to Roux-en-Y Gastric Bypass and Its Association with Food Intake and Postoperative Diabetes Remission |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T19%3A43%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Gut%20Microbiota%20Profile%20of%20Obese%20Diabetic%20Women%20Submitted%20to%20Roux-en-Y%20Gastric%20Bypass%20and%20Its%20Association%20with%20Food%20Intake%20and%20Postoperative%20Diabetes%20Remission&rft.jtitle=Nutrients&rft.au=Al%20Assal,%20Karina&rft.date=2020-01-21&rft.volume=12&rft.issue=2&rft.spage=278&rft.pages=278-&rft.issn=2072-6643&rft.eissn=2072-6643&rft_id=info:doi/10.3390/nu12020278&rft_dat=%3Cproquest_pubme%3E2395028365%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2395028365&rft_id=info:pmid/31973130&rfr_iscdi=true |