Project description:5 human fecal gut samples, collected and prepared for standard MudPIT data collection from healthy volunteers, searched with the ComPIL database. x3 replicates each
Project description:Parkinson's disease (PD) is a common neurodegenerative disease in middle-aged and elderly people. The disorder of gut microbiota is involved in the pathophysiological process of various neurological diseases, and many studies have confirmed that gut microbiota is involved in the progression of PD. As one of the most effective methods to reconstruct gut microbiota, fecal microbiota transplantation (FMT) has been considered as an important treatment for PD. However, the mechanism of FMT treatment for PD is still lacking, which requires further exploration and can facilitate the application of FMT. As a model organism, Drosophila is highly conserved with mammalian system in maintaining intestinal homeostasis. In this study, there were significant differences in the gut microbiota of conventional Drosophila colonized from PD patients compared to those transplanted from normal controls. And we constructed rotenone-induced PD model in Drosophila followed by FMT in different groups, and investigated the impact of gut microbiome on transcriptome of the PD host. Microbial analysis by 16S rDNA sequencing showed that gut microbiota could affect bacterial structure of PD, which was confirmed by bacterial colonization results. In addition, transcriptome data suggested that gut microbiota can influence gene expression pattern of PD. Further experimental validations confirmed that lysosome and neuroactive ligand-receptor interaction are the most significantly influenced functional pathways by PD-derived gut microbiota. In summary, our data reveals the influence of PD-derived gut microbiota on host transcriptome and helps better understanding the interaction between gut microbiota and PD through gut-brain axis. The present study will facilitate the understanding of the mechanism underlying PD treatment with FMT in clinical practice.
Project description:5 human fecal gut samples, collected and prepared for standard MudPIT data collection from healthy volunteers, searched with the ComPIL database. x3 replicates each
Project description:Dysbiotic configurations of the human gut microbiota have been linked with colorectal cancer (CRC). Human small non-coding RNAs are also implicated in CRC and recent findings suggest that their release in the gut lumen contributes to shape the gut microbiota. Bacterial small RNAs (bsRNAs) may also play a role in carcinogenesis but their role is less explored. Here, we performed small RNA and shotgun sequencing on 80 stool specimens of patients with CRC, or adenomas, and healthy subjects collected in a cross-sectional study to evaluate their combined use as a predictive tool for disease detection. We reported a considerable overlap and correlation between metagenomic and bsRNA quantitative taxonomic profiles obtained from the two approaches. Furthermore, we identified a combined predictive signature composed by 32 features from human and microbial small RNAs and DNA-based microbiome able to accurately classify CRC from healthy and adenoma samples (AUC= 0.87). In summary we reported evidence that host-microbiome dysbiosis in CRC can be observed also by altered small RNA stool profiles. Integrated analyses of the microbiome and small RNAs in the human stool may provide insights for designing more accurate tools for diagnostic purposes.
Project description:We used a transgenic mouse model overexpressing the complete human SNCA genes modeling familial and sporadic forms of Parkinson’s disease to study whether environmental conditions such as standard versus enriched environment changes the gut microbiome and influences disease progression.
Project description:Long-term dietary intake influences the structure and activity of the trillions of microorganisms residing in the human gut, but it remains unclear how rapidly and reproducibly the human gut microbiome responds to short-term macronutrient change. Here we show that the short-term consumption of diets composed entirely of animal or plant products alters microbial community structure and overwhelms inter-individual differences in microbial gene expression. The animal-based diet increased the abundance of bile-tolerant microorganisms (Alistipes, Bilophila and Bacteroides) and decreased the levels of Firmicutes that metabolize dietary plant polysaccharides (Roseburia, Eubacterium rectale and Ruminococcus bromii). Microbial activity mirrored differences between herbivorous and carnivorous mammals, reflecting trade-offs between carbohydrate and protein fermentation. Foodborne microbes from both diets transiently colonized the gut, including bacteria, fungi and even viruses. Finally, increases in the abundance and activity of Bilophila wadsworthia on the animal-based diet support a link between dietary fat, bile acids and the outgrowth of microorganisms capable of triggering inflammatory bowel disease. In concert, these results demonstrate that the gut microbiome can rapidly respond to altered diet, potentially facilitating the diversity of human dietary lifestyles. RNA-Seq analysis of the human gut microbiome during consumption of a plant- or animal-based diet.
Project description:Appropriate storage of fecal samples is a critical step for unbiased analysis in human microbiome studies. The purpose of this study was to evaluate the stability of the fecal microbial community for up to 18 months. Ten healthy volunteers provided fecal samples at the Jeonbuk National University Hospital. Stool samples were stored under the following six conditions: four different storage temperatures (- 70 °C, - 20 °C, 4 °C, and room temperature [20-25 °C]) and two different collection tubes (OMNIgene-Gut and DNA/RNA shield-fecal collection tubes). The gut microbiome was analyzed with 16S rRNA sequencing. We compared the taxonomic composition, alpha diversity, beta diversity and inferred pathway abundance between the baseline and 18 months after storage. Samples collected in the DNA/RNA Shield-fecal collection tubes showed the best performance in preservation of the taxonomic composition at 18 months. Pairwise differences in alpha diversity metrics showed the least deviation from zero. The PERMANOVA test showed non-significant change of beta diversity metrics (Unweighted Unifrac: q-value 0.268; Weighted Unifrac: q-value 0.848). The functional stability was significantly well preserved in the DNA/RNA Shield-fecal collection tubes (adjusted p value < 0.05). Our results demonstrate the use of the DNA/RNA Shield-fecal collection tube as an alternative storage method for fecal samples to preserve the taxonomic and functional stability of the microbiome over a long term.
Project description:Opioid analgesics are frequently prescribed in the United States and worldwide. However, serious side effects such as addiction, immunosuppression and gastrointestinal symptoms limit long term use. In the current study using a chronic morphine-murine model a longitudinal approach was undertaken to investigate the role of morphine modulation of gut microbiome as a mechanism contributing to the negative consequences associated with opioids use. The results revealed a significant shift in the gut microbiome and metabolome within 24 hours following morphine treatment when compared to placebo. Morphine induced gut microbial dysbiosis exhibited distinct characteristic signatures profiles including significant increase in communities associated with pathogenic function, decrease in communities associated with stress tolerance. Collectively, these results reveal opioids-induced distinct alteration of gut microbiome, may contribute to opioids-induced pathogenesis. Therapeutics directed at these targets may prolong the efficacy long term opioid use with fewer side effects.
Project description:Metaproteomics approach was used to investigate the microbial community and diversity of the infant gut to identify different key proteins with metabolic functional roles in the microbiomes of healthy and atopic dermatitis infants in a Thai population-based birth cohort.