2020
DOI: 10.1155/2020/6587136
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Altered Gut Microbiota and Shift inBacteroidetesbetween Young Obese and Normal-Weight Korean Children: A Cross-Sectional Observational Study

Abstract: Emerging data suggest that the gut microbiome is related to the pathophysiology of obesity. This study is aimed at characterizing the gut microbiota composition between obese and normal-weight Korean children aged 5-13. We collected fecal samples from 22 obese and 24 normal-weight children and performed 16S rRNA gene sequencing using the Illumina MiSeq platform. The relative abundance of the phylum Bacteroidetes was lower in the obese group than in the normal-weight group and showed a significant negative corr… Show more

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Cited by 28 publications
(37 citation statements)
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“…In the baseline analysis, the obese children in the fat gain group showed decreased proportions of Bacteroidetes compared with the controls, as described by previous studies [ 15 , 18 , 27 , 28 ]. The gut microbiota in the obese children showed a different microbial composition from that in the controls, including increased proportions of the genera Blautia , Dorea , Eubacterium hallii group, and Fusicatenibacter , which were reported to be associated with obesity, as well as decreased proportions of the genera Bacteroides, Oscillibacter , and Parabacteroides , which were positively associated with leanness [ 18 , 29 31 ]. In both the preintervention groups, reduced microbial richness was noted, and the beta diversity showed significant separation between the control and obese groups, generally implicating dysbiotic features [ 30 ].…”
Section: Discussionsupporting
confidence: 71%
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“…In the baseline analysis, the obese children in the fat gain group showed decreased proportions of Bacteroidetes compared with the controls, as described by previous studies [ 15 , 18 , 27 , 28 ]. The gut microbiota in the obese children showed a different microbial composition from that in the controls, including increased proportions of the genera Blautia , Dorea , Eubacterium hallii group, and Fusicatenibacter , which were reported to be associated with obesity, as well as decreased proportions of the genera Bacteroides, Oscillibacter , and Parabacteroides , which were positively associated with leanness [ 18 , 29 31 ]. In both the preintervention groups, reduced microbial richness was noted, and the beta diversity showed significant separation between the control and obese groups, generally implicating dysbiotic features [ 30 ].…”
Section: Discussionsupporting
confidence: 71%
“…For the baseline analysis, 16S rRNA gene sequencing data from the feces of the obese groups at the preintervention stages were compared with those of 24 normal-weight children (18 boys and 6 girls, aged 8.1 ± 1.5 years old) from our previous cross-sectional study of pediatric obesity as controls using Quantitative Insights into Microbial Ecology 2 (QIIME2) [ 18 ]. Among the results of anthropometric measurements, BMI in the obese group before intervention was significantly higher than that in the control group (Wilcoxon’s rank-sum test, P < 0.05, Table S2 ).…”
Section: Resultsmentioning
confidence: 99%
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“…The HFD group has a higher relative abundance of lipopolysaccharide biosynthesis, which was consistent with the high serum LPS levels, but adzuki bean treatment has a significant negative regulatory effect on the content of LPS (Figure 2C). Furthermore, cysteine and methionine metabolism is part of sulfur metabolism, which promotes the production of H 2 S [66]. H 2 S has adverse effects on the energy metabolism of the colonic epithelium, which promotes harmful intestinal substances from entering the circulatory system [67].…”
Section: Discussionmentioning
confidence: 99%
“…In obese Korean children, zinc intake was found to be inversely associated with dietary zinc intake [ 83 ]. These findings corroborate earlier data on the beneficial role of Bacteroidetes in body weight regulation [ 84 ], thus providing an additional potential mechanism for protective effects of Zn in obesity [ 85 ].…”
Section: Extraintestinal Effects In Models Of Human Diseasesmentioning
confidence: 99%