Comparison of the effects of five dietary fibers on mucosal transcriptional profiles, and luminal microbiota composition and SCFA concentrations in murine colon

2015 ◽  
Vol 59 (8) ◽  
pp. 1590-1602 ◽  
Author(s):  
Katja Lange ◽  
Floor Hugenholtz ◽  
Melliana C. Jonathan ◽  
Henk A Schols ◽  
Michiel Kleerebezem ◽  
...  
Keyword(s):  
Microbiota Composition ◽  
Dietary Fibers ◽  
Transcriptional Profiles ◽  
Murine Colon

Effects of egg phosvitin on mucosal transcriptional profiles and luminal microbiota composition in murine colon

2019 ◽  
Vol 10 (5) ◽  
pp. 2805-2816 ◽  
Author(s):  
Mei Li ◽  
Qinjun Zhang ◽  
Ruihan Wang ◽  
Mei Lu ◽  
Xueming Xu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Microbiota Composition ◽  
Transcriptional Profiles ◽  
Expression Abundance ◽  
Murine Colon

The effects of egg phosvitin on epithelial gene expression, abundance of bacteria in colon and their correlation have been explored.

scholarly journals Bifidobacterium longum-fermented rice bran and rice bran supplementation affects the gut microbiome and metabolome

2019 ◽  
Vol 10 (8) ◽  
pp. 823-839 ◽  
Author(s):  
N.J. Nealon ◽  
K.D. Parker ◽  
P. Lahaie ◽  
H. Ibrahim ◽  
A.K. Maurya ◽  
...  
Keyword(s):  
Rice Bran ◽  
Control Diet ◽  
Bifidobacterium Longum ◽  
Amplicon Sequencing ◽  
Systemic Circulation ◽  
Microbiota Composition ◽  
Bacterial Composition ◽  
16S Rrna Amplicon Sequencing ◽  
Components Analysis ◽  
Murine Colon

This study investigated gut microbiota composition along with food, host, and microbial derived metabolites in the colon and systemic circulation of healthy mice following dietary rice bran and fermented rice bran intake. Adult male BALB/c mice were fed a control diet or one of two experimental diets containing 10% w/w rice bran fermented by Bifidobacterium longum or 10% w/w non-fermented rice bran for 15 weeks. Metabolomics was performed on the study diets (food), the murine colon and whole blood. These were analysed in concert with 16S rRNA amplicon sequencing of faeces, caecum, and colon microbiomes. Principal components analysis of murine microbiota composition displayed marked separation between control and experimental diets, and between faecal and tissue (caecum and colon) microbiomes. Colon and caecal microbiomes in both experimental diet groups showed enrichment of Roseburia, Lachnospiraceae, and Clostridiales related amplicon sequence variants compared to control. Bacterial composition was largely similar between experimental diets. Metabolite profiling revealed 530 small molecules comprising of 39% amino acids and 21% lipids that had differential abundances across food, colon, and blood matrices, and statistically significant between the control, rice bran, and fermented rice bran groups. The amino acid metabolite, N-delta-acetylornithine, was notably increased by B. longum rice bran fermentation when compared to non-fermented rice bran in food, colon, and blood. These findings support that dietary intake of rice bran fermented with B. longum modulates multiple metabolic pathways important to the gut and overall health.

Effects of the different dietary fibers on luminal microbiota composition and mucosal gene expression in pig colons

2019 ◽  
Vol 59 ◽  
pp. 71-79 ◽  
Author(s):  
Rongying Xu ◽  
Yang Lu ◽  
Jin Wang ◽  
Jiajun Liu ◽  
Yong Su ◽  
...  
Keyword(s):  
Gene Expression ◽  
Microbiota Composition ◽  
Dietary Fibers

Inter-individual variation shapes the human microbiome

2019 ◽  
Vol 42 ◽  
Author(s):  
Emily F. Wissel ◽  
Leigh K. Smith
Keyword(s):  
Individual Differences ◽  
Individual Variation ◽  
Human Microbiome ◽  
Individual Variability ◽  
Microbiota Composition ◽  
Target Article ◽  
Microbiome Research

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.

Sign in / Sign up

Export Citation Format

Share Document