2019
DOI: 10.6061/clinics/2019/e1198
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Changes in the intestinal microbiota of superobese patients after bariatric surgery

Abstract: OBJECTIVES:The gut microbiota is associated with obesity and weight loss after bariatric surgery and has been related to its changing pattern. Exactly how the bacterial population affects weight loss and the results of surgery remain controversial. This study aimed to evaluate the intestinal microbiota of superobese patients before and after gastric bypass surgery (RYGB).METHOD:DNA fragments for the microbiota obtained from stool samples collected from nine superobese patients before and after bariatric surger… Show more

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Cited by 15 publications
(9 citation statements)
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“…At the functional level, the module of propionate production was higher after RYGB which is consistent with previous animal study conducted by Liou et al (31). Other recent studies comparing gut microbiome after bariatric surgery by using 16S rRNA amplicon sequencing showed a decreased Firmicutes/Bacteroidetes ratio (40,41), indicating a favorable phylum composition for obesity which is consistent with a recent meta-analysis showing increase in phyla Bacteroidetes, Fusobacteria, Proteobacteria and Verrucomicrobia, and a decrease in Firmicutes (28).…”
Section: Mining In Human Multi-omics Studysupporting
confidence: 90%
“…At the functional level, the module of propionate production was higher after RYGB which is consistent with previous animal study conducted by Liou et al (31). Other recent studies comparing gut microbiome after bariatric surgery by using 16S rRNA amplicon sequencing showed a decreased Firmicutes/Bacteroidetes ratio (40,41), indicating a favorable phylum composition for obesity which is consistent with a recent meta-analysis showing increase in phyla Bacteroidetes, Fusobacteria, Proteobacteria and Verrucomicrobia, and a decrease in Firmicutes (28).…”
Section: Mining In Human Multi-omics Studysupporting
confidence: 90%
“…Out of the 59 studies, 36 studies applied a pre-post design (baseline measurements provided) (Group 1: n = 23 [ 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 ]; Group 2: n = 10 [ 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 ]; Group 3: n = 4 [ 70 , 71 , 72 , 73 ]). Sixteen studies used a cross-sectional design (Group 1: n = 6 [ 74 , 75 , 76 , 77 , 78 , 79 ]; Group 2: n = 10 [ 80 , 81 , 82 , 83 , 84 , 85 , 86 ,…”
Section: Resultsmentioning
confidence: 99%
“…Changes in GI microbiota was the primary outcome for 24 studies in Group 1 [ 37 , 38 , 39 , 40 , 41 , 42 , 44 , 45 , 47 , 48 , 49 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 59 , 75 , 76 , 77 , 78 , 79 , 94 ] and 12 studies in Group 2 [ 61 , 62 , 64 , 65 , 68 , 82 , 85 , 86 , 88 , 90 , 92 , 95 ]. For the remaining studies, primary outcomes surrounding clinical, anthropometric and metabolic parameters were reported (Group 1: n = 5 [ 43 , 46 , 50 , 58 , 74 ]; Group 2: n = 13 [ 60 , 63 , 66 , 67 , 69 , 80 , 81 , 83 , …”
Section: Resultsmentioning
confidence: 99%
“…Some studies have reported that the composition of gut microbiota of obese subjects present a higher Firmicutes/Bacteroidetes ratio (F/B) [31][32][33]. Whereas, with the rapid accumulation of data, several studies did not find any differences of this parameter between obese and normal-weight individuals or even reported decreased F/B ratio in obese subjects [34,35]. Furthermore, several meta-analyses have clarified that the heterogeneity of the results could be due to the insufficient number of subjects including in most of the studies [36,37].…”
Section: Discussionmentioning
confidence: 99%