Literature DB >> 29521600

Cecal versus fecal microbiota in Ossabaw swine and implications for obesity.

Matthew R Panasevich1,2, Umesh D Wankhade3, Sree V Chintapalli3, Kartik Shankar3, R Scott Rector1,2,4.   

Abstract

The gut microbiome plays a critical role in the onset and progression of obesity and the metabolic syndrome. However, it is not well documented whether the cecal vs. the fecal microbiome is more relevant when assessing their contributions to these diseases. Here, we amplified the V4 region of the 16S rRNA gene from cecal and fecal samples of female Ossabaw swine fed a low-fat control diet (10.5% fat, n = 4) or Western diet (43.0% fat, 17.8% high fructose corn syrup, 2% cholesterol; n = 3) for 36 wk. Obesity significantly lowered alpha-diversity ( P < 0.05), and there was clear separation in beta-diversity between lean and obese pigs, as well as between cecal and fecal samples ( P < 0.05). Obesity dramatically increased ( P < 0.05) the Firmicutes:Bacteroidetes ratio in fecal samples, and Actinobacteria was higher ( P < 0.05) in fecal vs. cecal samples in obese pigs. Cyanobacteria, Proteobacteria, and Fusobacteria were increased ( P < 0.05), while Spirochaetes, Tenericutes, and Verrucomicrobia were decreased ( P < 0.05) in obese vs. lean pigs. Prevotellaceae was reduced ( P < 0.05) in obese fecal vs. cecal samples. Moreover, cecal samples in obese had greater ( P < 0.05) predicted metabolic capacity for glycan biosynthesis and metabolism and LPS biosynthesis compared with fecal. Obese pigs also had greater ( P < 0.05) capacity for carbohydrate metabolism, which was driven by obese fecal rather than cecal samples and was opposite in lean pigs ( P < 0.05). The observed differences in pro-inflammatory microbiota and their metabolic capacity in cecal vs. fecal samples of obese pigs provide new insight into evaluating the microbiome in the pathogenesis of obesity and metabolic disease.

Entities:  

Keywords:  Ossabaw swine; alpha diversity; beta diversity; metabolic syndrome; microbiome

Mesh:

Substances:

Year:  2018        PMID: 29521600      PMCID: PMC6008116          DOI: 10.1152/physiolgenomics.00110.2017

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


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