Ontology highlight
ABSTRACT:
PROVIDER: PRJNA765184 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Alcoholic liver disease (ALD) is a kind of liver disease that will result in liver cancer and some other high death rate liver disease. The study results show that riboflavin could protect the mouse against ALD. Then the study divides the C57BL/6 mice into the three groups including Control (C), Alcohol, Alcohol with riboflavin (AR) groups respectively. And the study makes the mouse stool samples 16S RNA sequencing (RNA-seq) to find the differential itestinal microbiota homeostasis among three groups futher and does the related analysis in riboflavin-treated alcoholic liver disease.
2024-08-28 | GSE273370 | GEO
Project description:We explore whether a low-energy diet intervention for Metabolic dysfunction-associated steatohepatitis (MASH) improves liver disease by means of modulating the gut microbiome. 16 individuals were given a low-energy diet (880 kcal, consisting of bars, soups, and shakes) for 12 weeks, followed by a stepped re-introduction to whole for an additional 12 weeks. Stool samples were obtained at 0, 12, and 24 weeks for microbiome analysis. Fecal microbiome were measured using 16S rRNA gene sequencing. Positive control (Zymo DNA standard D6305) and negative control (PBS extraction) were included in the sequencing. We found that low-energy diet improved MASH disease without lasting alterations to the gut microbiome.
2024-12-31 | E-MTAB-14061 | biostudies-arrayexpress
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.
2019-08-30 | GSE132236 | GEO
Project description:Non-alcoholic Fatty liver disease Stool, Diet and Plasma Samples
2024-12-05 | MSV000096602 | MassIVE
Project description:Healthy in vivo human liver samples
| PRJEB35350 | ENA
Project description:Small RNA-Seq analysis of on stool samples from an Italian cohort of 120 healthy individuals with three dietary habits. The cohort includes 72 women and 48 men included an equal proportion of vegetarians, vegans and omnivores.
2021-07-30 | GSE171913 | GEO
Project description:Comparison of the human fecal proteomes from healthy control (HC), ulcerative colitis (UC), and Crohn's disease (CD) stool. Two cohorts: Cohort 1 with N=5 samples from each group (HC, UC, CD) and Cohort 2 with N=20 samples from HC, and N=10 samples each from UC and CD.
2022-04-11 | MSV000089237 | MassIVE
Project description:The spatiotemporal structure of the human microbiome, proteome, and metabolome reflects and determines regional intestinal physiology and may have implications for disease. Yet, we know little about the distribution of microbes, their environment, and their biochemical activity in the gut because of reliance on stool samples and limited access to only some regions of the gut using endoscopy in fasting or sedated individuals. To address these deficiencies, we developed and evaluated a safe, ingestible device that collects samples from multiple regions of the human intestinal tract during normal digestion and maintains the viability of microbes from these locations. The collection of 240 intestinal samples from 15 healthy individuals using the device and subsequent multi-omics analyses revealed significant differences between microbes, phages, host proteins, and metabolites present in the intestines versus stool. Certain microbial taxa and gene classes were differentially enriched, and prophage induction was more prevalent in the intestines than in stool. The host proteome and bile acid profiles varied along the intestines and were highly distinct from those of stool. Correlations between gradients in bile acid concentrations and microbial abundancepredicted species that altered the bile acid pool through deconjugation. Furthermore,microbially conjugated bile acids displayed amino acid-dependent trends in concentration that were not apparent in stool. Overall, non-invasive longitudinal profilingof microbes, proteins, and bile acids along the intestinal tract under physiological conditions can help elucidate the roles of the gut microbiome and metabolome in humanphysiology and disease.
2023-01-18 | PXD038906 | Pride
Project description:Non-alcoholic Fatty liver disease Stool, Diet and Plasma Samples
2024-12-05 | MSV000096602 | GNPS
Project description:The dataset comprises of circulating miRNAs in human subjects with various types of liver impairments. In our study, we analyzed a total 48 serum samples from a group of 42 subjects that included subjects with accidental acetaminophen overdose (APAP), hepatitis B infection (HBV), liver cirrhosis (LC) and type 2 diabetes mellitus (T2DM) subjects with alanine amino transference (ALT) elevation. As a control 16 sex and age matched healthy controls from subjects with no evidence of liver disease were analyzed. The miRNA profiles were measured using next-generation sequencing platform.
2017-06-09 | GSE90028 | GEO