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Systematic analysis of the association between gut flora and obesity through high-throughput sequencing and bioinformatics approaches.

Chiu CM, Huang WC, Weng SL, Tseng HC, Liang C, Wang WC, Yang T, Yang TL, Weng CT, Chang TH, Huang HD - Biomed Res Int (2014)

Bottom Line: A principal coordinate analysis (PCoA) demonstrated that normal samples were clustered more compactly than case samples.An unsupervised analysis demonstrated that bacterial communities in the gut were clustered into two main groups: N-like and OB-like groups.Remarkably, most normal samples (78%) were clustered in the N-like group, and most case samples (81%) were clustered in the OB-like group (Fisher's P  value = 1.61E - 07).

View Article: PubMed Central - PubMed

Affiliation: Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan.

ABSTRACT
Eighty-one stool samples from Taiwanese were collected for analysis of the association between the gut flora and obesity. The supervised analysis showed that the most, abundant genera of bacteria in normal samples (from people with a body mass index (BMI) ≤ 24) were Bacteroides (27.7%), Prevotella (19.4%), Escherichia (12%), Phascolarctobacterium (3.9%), and Eubacterium (3.5%). The most abundant genera of bacteria in case samples (with a BMI ≥ 27) were Bacteroides (29%), Prevotella (21%), Escherichia (7.4%), Megamonas (5.1%), and Phascolarctobacterium (3.8%). A principal coordinate analysis (PCoA) demonstrated that normal samples were clustered more compactly than case samples. An unsupervised analysis demonstrated that bacterial communities in the gut were clustered into two main groups: N-like and OB-like groups. Remarkably, most normal samples (78%) were clustered in the N-like group, and most case samples (81%) were clustered in the OB-like group (Fisher's P  value = 1.61E - 07). The results showed that bacterial communities in the gut were highly associated with obesity. This is the first study in Taiwan to investigate the association between human gut flora and obesity, and the results provide new insights into the correlation of bacteria with the rising trend in obesity.

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Classification rule and potential markers for discriminating between obese and normal-weight individuals.
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fig8: Classification rule and potential markers for discriminating between obese and normal-weight individuals.

Mentions: The identified bacteria with statistical significance were used for rule-based clustering. Threefold cross-validation was used to evaluate the performance of the classification model. Two out of the significant species in Table S2, Parabacteroides distasonis and Serratia sp. DAP4, were selected as discriminating factors in the J48 decision tree. As shown in Figure 8, the classification rules are described as follows. (1) a sample is classified as normal if Parabacteroides distasonis was absent. (2) A sample with the presence of Parabacteroides distasonis and absence of Serratia sp. DAP4 was classified as a case; otherwise, it was classified as normal. As shown in Table S3, the classifier performed well, and the area under the receiver operating characteristic curve (AUC) was 0.813. The results showed that Parabacteroides distasonis and Serratia sp. DAP4 might be potential markers for further clinical analysis and investigation of obesity.


Systematic analysis of the association between gut flora and obesity through high-throughput sequencing and bioinformatics approaches.

Chiu CM, Huang WC, Weng SL, Tseng HC, Liang C, Wang WC, Yang T, Yang TL, Weng CT, Chang TH, Huang HD - Biomed Res Int (2014)

Classification rule and potential markers for discriminating between obese and normal-weight individuals.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4150407&req=5

fig8: Classification rule and potential markers for discriminating between obese and normal-weight individuals.
Mentions: The identified bacteria with statistical significance were used for rule-based clustering. Threefold cross-validation was used to evaluate the performance of the classification model. Two out of the significant species in Table S2, Parabacteroides distasonis and Serratia sp. DAP4, were selected as discriminating factors in the J48 decision tree. As shown in Figure 8, the classification rules are described as follows. (1) a sample is classified as normal if Parabacteroides distasonis was absent. (2) A sample with the presence of Parabacteroides distasonis and absence of Serratia sp. DAP4 was classified as a case; otherwise, it was classified as normal. As shown in Table S3, the classifier performed well, and the area under the receiver operating characteristic curve (AUC) was 0.813. The results showed that Parabacteroides distasonis and Serratia sp. DAP4 might be potential markers for further clinical analysis and investigation of obesity.

Bottom Line: A principal coordinate analysis (PCoA) demonstrated that normal samples were clustered more compactly than case samples.An unsupervised analysis demonstrated that bacterial communities in the gut were clustered into two main groups: N-like and OB-like groups.Remarkably, most normal samples (78%) were clustered in the N-like group, and most case samples (81%) were clustered in the OB-like group (Fisher's P  value = 1.61E - 07).

View Article: PubMed Central - PubMed

Affiliation: Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan.

ABSTRACT
Eighty-one stool samples from Taiwanese were collected for analysis of the association between the gut flora and obesity. The supervised analysis showed that the most, abundant genera of bacteria in normal samples (from people with a body mass index (BMI) ≤ 24) were Bacteroides (27.7%), Prevotella (19.4%), Escherichia (12%), Phascolarctobacterium (3.9%), and Eubacterium (3.5%). The most abundant genera of bacteria in case samples (with a BMI ≥ 27) were Bacteroides (29%), Prevotella (21%), Escherichia (7.4%), Megamonas (5.1%), and Phascolarctobacterium (3.8%). A principal coordinate analysis (PCoA) demonstrated that normal samples were clustered more compactly than case samples. An unsupervised analysis demonstrated that bacterial communities in the gut were clustered into two main groups: N-like and OB-like groups. Remarkably, most normal samples (78%) were clustered in the N-like group, and most case samples (81%) were clustered in the OB-like group (Fisher's P  value = 1.61E - 07). The results showed that bacterial communities in the gut were highly associated with obesity. This is the first study in Taiwan to investigate the association between human gut flora and obesity, and the results provide new insights into the correlation of bacteria with the rising trend in obesity.

Show MeSH
Related in: MedlinePlus