Project description:Here, we studied well-phenotyped individuals from the Flemish Gut Flora Project (FGFP, N=1,106, Belgium) and the effect of environments on microbiome. The 69 major significant phenotypes found in this study are provided.
Project description:"Here, we studied well-phenotyped individuals from the Flemish Gut Flora Project (FGFP, N=1,106, Belgium) and the effect of environments on microbiome."
Project description:Study exploring the neuroactive potential of the human gut microbiota in relation to quality of life and depression. This dataset includes shotgun sequenced samples from the FGFP (Flemish Gut Flora Project: N=150) and TR-MDD (Treatment-Resistant Major Depression Disorder: N=7). Samples were provided by volunteers from the Flanders region in Belgium, and the dataset is balanced for age, gender, and stool consistency.
Project description:Here we use appropriate taxon-specific models along with support from independent cohorts to show association between human host genotype and gut microbiome variation. Using fecal derived 16S rRNA gene sequences and host genotype data from the Flemish Gut Flora Project (FGFP) we identify genetic associations involving multiple microbial traits. Mendelian randomization analysis was able to estimate associations between microbial traits and disease, however in the absence of clear microbiome driven effects, caution is needed in interpretation. This work marks a growing catalog of genetic associations which will provide insight into the contribution of host genotype to gut microbiome. Despite this, the uncertain origin of association signals will likely complicate future work looking to dissect function or use associations for causal inference analysis.
Project description:This study performed gut microbiota 16s rDNA sequencing on patients receiving stent-based diversion technique (SDT) and temporary ileostomy surgery, with fecal samples collected at preoperative baseline and postoperative follow-up time points. This study aims to characterize perioperative gut microbial signatures, assess alterations in microbial alpha/beta diversity and differential taxa abundance, identify core microbial biomarkers affected by fecal diversion and surgical intervention, and map dynamic gut flora variation induced by SDT and ileostomy. Both ileostomy and minimally invasive SDT alter intestinal luminal conditions and fecal flow, thereby disrupting intestinal microecology and increasing risks of postoperative inflammation, stoma complications and gastrointestinal disorders; however, few studies have illustrated their effects on perioperative gut microbiota. This dataset fills the relevant microecological research gap, helps reveal microbial mechanisms of postoperative gastrointestinal complications, and provides evidence for targeted perioperative microecological intervention to optimize intestinal rehabilitation and reduce stoma-related adverse outcomes in this patient cohort.