Meta-analyses of human gut microbes associated with obesity and IBD
By William Walters, Zech Xu, Rob Knight. FEBS Letters, 2014
791 citations recorded by the source corpus.
Recent studies have linked human gut microbes to obesity and inflammatory bowel disease, but consistent signals have been difficult to identify. Here we test for indicator taxa and general features of the microbiota that are generally consistent across studies of obesity and of IBD, focusing on studies involving high‐throughput sequencing of the 16S rRNA gene (which we could process using a common computational pipeline). We find that IBD has a consistent signature across studies and allows high classification accuracy of IBD from non‐IBD subjects, but that although subjects can be classified as lean or obese within each individual study with statistically significant accuracy, consistent with the ability of the microbiota to experimentally transfer this phenotype, signatures of obesity are not consistent between studies even when the data are analyzed with consistent methods. The results suggest that correlations between microbes and clinical conditions with different effect sizes (e.g. the large effect size of IBD versus the small effect size of obesity) may require different cohort selection and analysis strategies.
Subfields: Gastroenterology, Molecular Biology, Surgery
View Paper: https://www.semanticscholar.org/paper/527fa78c90492e73083547185e49f16eff1edce3
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Citations in the corpus
- The Firmicutes/Bacteroidetes Ratio: A Relevant Marker of Gut Dysbiosis in Obese Patients? (2020, methodology): “However, studies using the same set of primers have also reported contradictory results regarding gut microbiota composition [21,58,59], suggesting that primer-related bias is not the main reason for the discrepancies observed among studies [51].”
- The Human Gut Microbiome: From Association to Modulation. (2018, result): “A significant but mild BMI-microbiome link was found in the FGFP (Falony et al., 2016), in line with recent meta-analyses (Finucane et al., 2014; Sze and Schloss, 2016; Walters et al., 2014).”