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Projection of Gut Microbiome Pre- and Post-Bariatric Surgery To Predict Surgery Outcome

Bariatric surgery is often the preferred method to resolve obesity and diabetes, with ∼800,000 cases worldwide yearly and high outcome variability. The ability to predict the long-term body mass index (BMI) change following surgery has important implications for individuals and the health care syste...

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Autores principales: Ben Izhak, Meirav, Eshel, Adi, Cohen, Ruti, Madar-Shapiro, Liora, Meiri, Hamutal, Wachtel, Chaim, Leung, Conrad, Messick, Edward, Jongkam, Narisra, Mavor, Eli, Sapozhnikov, Shimon, Maharshak, Nitsan, Abu-Abeid, Subhi, Alis, Avishai, Mahler, Ilanit, Meoded, Aviel, Meron Eldar, Shai, Koren, Omry, Louzoun, Yoram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269264/
https://www.ncbi.nlm.nih.gov/pubmed/34100636
http://dx.doi.org/10.1128/mSystems.01367-20
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author Ben Izhak, Meirav
Eshel, Adi
Cohen, Ruti
Madar-Shapiro, Liora
Meiri, Hamutal
Wachtel, Chaim
Leung, Conrad
Messick, Edward
Jongkam, Narisra
Mavor, Eli
Sapozhnikov, Shimon
Maharshak, Nitsan
Abu-Abeid, Subhi
Alis, Avishai
Mahler, Ilanit
Meoded, Aviel
Meron Eldar, Shai
Koren, Omry
Louzoun, Yoram
author_facet Ben Izhak, Meirav
Eshel, Adi
Cohen, Ruti
Madar-Shapiro, Liora
Meiri, Hamutal
Wachtel, Chaim
Leung, Conrad
Messick, Edward
Jongkam, Narisra
Mavor, Eli
Sapozhnikov, Shimon
Maharshak, Nitsan
Abu-Abeid, Subhi
Alis, Avishai
Mahler, Ilanit
Meoded, Aviel
Meron Eldar, Shai
Koren, Omry
Louzoun, Yoram
author_sort Ben Izhak, Meirav
collection PubMed
description Bariatric surgery is often the preferred method to resolve obesity and diabetes, with ∼800,000 cases worldwide yearly and high outcome variability. The ability to predict the long-term body mass index (BMI) change following surgery has important implications for individuals and the health care system in general. Given the tight connection between eating habits, sugar consumption, BMI, and the gut microbiome, we tested whether the microbiome before any treatment is associated with different treatment outcomes, as well as other intakes (high-density lipoproteins [HDL], triglycerides, etc.). A projection of the gut microbiome composition of obese (sampled before and after bariatric surgery) and lean patients into principal components was performed, and the relation between this projection and surgery outcome was studied. The projection revealed three different microbiome profiles belonging to lean, obese, and obese individuals who underwent bariatric surgery, with the postsurgery microbiome more different from the lean microbiome than the obese microbiome. The same projection allowed for a prediction of BMI loss following bariatric surgery, using only the presurgery microbiome. The microbial changes following surgery were an increase in the relative abundance of Proteobacteria and Fusobacteria and a decrease in Firmicutes. The gut microbiome can be decomposed into main components depicting the patient's development and predicting in advance the outcome. Those may be translated into the better clinical management of obese individuals planning to undergo metabolic surgery. IMPORTANCE BMI and diabetes can affect the gut microbiome composition. Bariatric surgery has large variabilities in the outcome. The microbiome was previously shown to be a good predictor for multiple diseases. We analyzed here the gut microbiome before and after bariatric surgery and showed the following. (i) The microbiome before surgery can be used to predict surgery outcomes. (ii) The postsurgery microbiome drifts further away from the lean microbiome than the microbiome of the presurgery obese patients. These results can lead to a microbiome-based presurgery decision whether to perform surgery.
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spelling pubmed-82692642021-08-02 Projection of Gut Microbiome Pre- and Post-Bariatric Surgery To Predict Surgery Outcome Ben Izhak, Meirav Eshel, Adi Cohen, Ruti Madar-Shapiro, Liora Meiri, Hamutal Wachtel, Chaim Leung, Conrad Messick, Edward Jongkam, Narisra Mavor, Eli Sapozhnikov, Shimon Maharshak, Nitsan Abu-Abeid, Subhi Alis, Avishai Mahler, Ilanit Meoded, Aviel Meron Eldar, Shai Koren, Omry Louzoun, Yoram mSystems Research Article Bariatric surgery is often the preferred method to resolve obesity and diabetes, with ∼800,000 cases worldwide yearly and high outcome variability. The ability to predict the long-term body mass index (BMI) change following surgery has important implications for individuals and the health care system in general. Given the tight connection between eating habits, sugar consumption, BMI, and the gut microbiome, we tested whether the microbiome before any treatment is associated with different treatment outcomes, as well as other intakes (high-density lipoproteins [HDL], triglycerides, etc.). A projection of the gut microbiome composition of obese (sampled before and after bariatric surgery) and lean patients into principal components was performed, and the relation between this projection and surgery outcome was studied. The projection revealed three different microbiome profiles belonging to lean, obese, and obese individuals who underwent bariatric surgery, with the postsurgery microbiome more different from the lean microbiome than the obese microbiome. The same projection allowed for a prediction of BMI loss following bariatric surgery, using only the presurgery microbiome. The microbial changes following surgery were an increase in the relative abundance of Proteobacteria and Fusobacteria and a decrease in Firmicutes. The gut microbiome can be decomposed into main components depicting the patient's development and predicting in advance the outcome. Those may be translated into the better clinical management of obese individuals planning to undergo metabolic surgery. IMPORTANCE BMI and diabetes can affect the gut microbiome composition. Bariatric surgery has large variabilities in the outcome. The microbiome was previously shown to be a good predictor for multiple diseases. We analyzed here the gut microbiome before and after bariatric surgery and showed the following. (i) The microbiome before surgery can be used to predict surgery outcomes. (ii) The postsurgery microbiome drifts further away from the lean microbiome than the microbiome of the presurgery obese patients. These results can lead to a microbiome-based presurgery decision whether to perform surgery. American Society for Microbiology 2021-06-08 /pmc/articles/PMC8269264/ /pubmed/34100636 http://dx.doi.org/10.1128/mSystems.01367-20 Text en Copyright © 2021 Ben Izhak et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Ben Izhak, Meirav
Eshel, Adi
Cohen, Ruti
Madar-Shapiro, Liora
Meiri, Hamutal
Wachtel, Chaim
Leung, Conrad
Messick, Edward
Jongkam, Narisra
Mavor, Eli
Sapozhnikov, Shimon
Maharshak, Nitsan
Abu-Abeid, Subhi
Alis, Avishai
Mahler, Ilanit
Meoded, Aviel
Meron Eldar, Shai
Koren, Omry
Louzoun, Yoram
Projection of Gut Microbiome Pre- and Post-Bariatric Surgery To Predict Surgery Outcome
title Projection of Gut Microbiome Pre- and Post-Bariatric Surgery To Predict Surgery Outcome
title_full Projection of Gut Microbiome Pre- and Post-Bariatric Surgery To Predict Surgery Outcome
title_fullStr Projection of Gut Microbiome Pre- and Post-Bariatric Surgery To Predict Surgery Outcome
title_full_unstemmed Projection of Gut Microbiome Pre- and Post-Bariatric Surgery To Predict Surgery Outcome
title_short Projection of Gut Microbiome Pre- and Post-Bariatric Surgery To Predict Surgery Outcome
title_sort projection of gut microbiome pre- and post-bariatric surgery to predict surgery outcome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269264/
https://www.ncbi.nlm.nih.gov/pubmed/34100636
http://dx.doi.org/10.1128/mSystems.01367-20
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