TY - JOUR
T1 - Projection of gut microbiome pre- And post-bariatric surgery to predict surgery outcome
AU - Izhak, Meirav Ben
AU - Eshel, Adi
AU - Cohen, Ruti
AU - Madar-Shapiro, Liora
AU - Meiri, Hamutal
AU - Wachtel, Chaim
AU - Leung, Conrad
AU - Messick, Edward
AU - Jongkam, Narisra
AU - Mavor, Eli
AU - Sapozhnikov, Shimon
AU - Maharshak, Nitsan
AU - Abu-Abeid, Subhi
AU - Alis, Avishai
AU - Mahler, Ilanit
AU - Meoded, Aviel
AU - Eldar, Shai Meron
AU - Koren, Omry
AU - Louzoun, Yoram
N1 - Publisher Copyright:
© 2021 American Society for Microbiology. All rights reserved.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
KW - Bariatric surgery
KW - Machine learning
KW - Obesity
UR - http://www.scopus.com/inward/record.url?scp=85107419482&partnerID=8YFLogxK
U2 - 10.1128/mSystems.01367-20
DO - 10.1128/mSystems.01367-20
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C2 - 34100636
AN - SCOPUS:85107419482
SN - 2379-5077
VL - 6
JO - mSystems
JF - mSystems
IS - 3
M1 - e01367-20
ER -