Symbiotic gut microbes modulate human metabolic phenotypes

By Min Li, Baohong Wang, Menghui Zhang, Mattias Rantalainen, Shengyue Wang, Haokui Zhou, Yan Zhang, Jian Shen, Xiaoyan Pang, Meiling Zhang and 16 more. Proceedings of the National Academy of Sciences of the United States of America, 2008

1,103 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/7560b6892825bb8d0fa50c1af907f49e4eba3e80

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Citations in the corpus

Human gut microbiome viewed across age and geography (2012, methodology): “Shotgun reads were filtered using custom Perl scripts and publicly available software to remove (1) all reads ,60 nucleotides; (2) Titanium pyrosequencing reads with two continuous and/or three total degenerate bases (N); (3) all duplicates (a known artefact of pyrosequencing), defined as sequences ”
Systems medicine: the future of medical genomics and healthcare (2009, neutral): “state of their host [215].”
Towards the human intestinal microbiota phylogenetic core. (2009, background): “Strikingly, these experiments sampled the same core OTUs, even though they were performed worldwide with very different protocols (sample handling, DNA extraction, Eubacteria-Universal PCR primers, chimera detection procedure) known to lead to different pictures of microbial diversity (Suau et al., ”
Composition, variability, and temporal stability of the intestinal microbiota of the elderly (2010, methodology): “We identified and compared the core microbiota of younger adults [derived from previously published studies (8, 13, 40, 41) and ELDERMET subjects] (Table S2).”
Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers (2011, methodology): “A plasmid containing a Bacteroides spp. full-length 16S rRNA gene from a previous study (Li et al., 2008) was prepared using the QIAGEN Plasmid Mini Kit (Qiagen, Hilden, Germany) and diluted from 1 103 to 1 109 (copiesml 1) to construct standard curves for the detection of total bacteria and…”
Incomplete recovery and individualized responses of the human distal gut microbiota to repeated antibiotic perturbation (2010, background): “Other traits attributed to members of the gut microbiota, however, such as inhibiting the growth (24), attachment (25), or virulence (26) of particular pathogens, helping to regulate host immunity (21–23) or energy balance (24), or participating with host enzymes in cometabolism of specific substanc”
Microbial community profiling for human microbiome projects: Tools, techniques, and challenges. (2009, background): “The pooling can always be performed computationally at the end of the analysis, and, given the variability in 16S rRNA lineages observed among samples in many mammalian-associated body habitats including the gut (Eckburg et al. 2005; Ley et al. 2005, 2006c, 2008a; Turnbaugh et al. 2006, 2008; Frank ”
Supervised classification of human microbiota. (2011, neutral): “In many cases where appropriate models already exist, we demonstrate their effectiveness by applying some examples to the benchmarks; in other cases, we suggest directions for research into novel approaches.”
Fast UniFrac: Facilitating high-throughput phylogenetic analyses of microbial communities including analysis of pyrosequencing and PhyloChip data (2009, background): “…al ., 2008; Marhaver et al ., 2008) assemblages important for understanding human health and disease (Turnbaugh et al ., 2006; Frank et al ., 2007; Li et al ., 2008; Osman et al ., 2008; Wen et al ., 2008), bioremediation (Hiibel et al ., 2008), and basic ecology and evolution (Fraune and Bosch,…”
Monitoring Bacterial Community of Human Gut Microbiota Reveals an Increase in Lactobacillus in Obese Patients and Methanogens in Anorexic Patients (2009, result): “). A recent study found major differences in the gut microbiota of Chinese people compared to American people”
Microbiome and Malignancy (2011, background): “With the development of new scientific tools, there has been increasing interest in the composition, function, stability, and host-specificity of the microbiome, and the aggregate of its genes, the metagenome (Benson et al., 2010; Ley et al., 2006; Li et al., 2008).”
Bacteroides thetaiotaomicron and Faecalibacterium prausnitzii influence the production of mucus glycans and the development of goblet cells in the colonic epithelium of a gnotobiotic model rodent (2013, background): “To establish a relevant simplified model of microbiota, we studied these two commensal bacteria as functional members of the microbiome influencing host metabolism [7].”