Similar Datasets
Project description:Here we report 16S rRNA data in gut microbiota of autism spectrum disorders compared with healthy volunteers. A total of 1322 operational taxonomic units (OTUs) were identified in the sequence data. The Bacteroidetes and Firmicutes were both dominated phylum in ausitic subjects and healthy controls. Phylum level analysis showed a clear alteration of the bacterial gut community in ASD characterized by a higher Firmicutes (P < 0.05), Proteobacteria (P < 0.001), and Actinobacteria (P < 0.001) than that in healthy controls. However, Bacteroidetes were significantly decreased in ASD patients (P < 0.001).
2020-09-30 | GSE113690 | GEO
Project description:Here we report metagenomic sequencing data in gut microbiota of autism spectrum disorders (ASD) compared with healthy volunteers (30 for ASD children and 30 for healthy controls, respectively). The genes changed in autistic subjects involved 1,312,364 analytes that compare to 1,335,835 analytes in healthy controls. The number of taxa in autistic subjects were significantly increased as compared to the healthy controls based on the phylum and genus level (P = 0.001). However, the number of species were significantly decreased in autistic subjects (P = 0.001).
2020-09-30 | GSE113540 | GEO
Project description:Metagenomic sequencing and 16S rRNA sequence of gut microbiota associated with autism spectrum disorders patients
| PRJNA453840 | ENA
Project description:Gut microbiota analysis associated with autism spectrum disorders [16S rRNA]
| PRJNA453621 | ENA
Project description:Metagenomic sequencing of gut microbiota associated with autism spectrum disorders patients
| PRJNA451479 | ENA
Project description:gut metagenome of ASD
| PRJEB23052 | ENA
Project description:The aim of study is to evaluate whether salidroside (S), tyrosol (T) and hydroxytyrosol (H) which are dietary phenylethanoids of natural origins have an influence on reversing gut dysbiosis induced by metabolic syndrome (MetS) mice. C57 BL/6J female mice induced by high fructose diet were established. All mice were adapted to the environment for 7 days with normal diet and sterile drinking water (DW), and randomly divided into 6 groups. Mice in the ND group are fed with ND and treated with normal saline. Other groups were fed with high fructose (HFru) by administration of normal saline, salidroside (S), tyrosol (T) or hydroxytyrosol (H) for 12 weeks by intragastric gavage. Fresh feces from each mouse were collected one days before the end of the experiment and temporarily placed in sterile tubules, and then snap-frozen in liquid nitrogen. Total DNA from stool bacteria was extracted using QIAamp DNA stool mini kit from Qiagen (Germantown, MD, USA) according to the manufacturer’s instructions. Illumina HiSeq sequencing analysis of the DNA samples.16S rRNA gene sequence data further revealed that S, T and H could enhance the diversity of gut microbiota. In general, the abundance of Shigella, Acinetobacter, Lactobacillus, Staphylococcus and Sporosarcina had changed significantly. These findings suggest that S, T and H probably suppress lipid accumulation and to hepatoprotective effect and improve intestinal microflora disorders to attenuate metabolic syndromes.
2022-01-24 | GSE194127 | GEO
Project description:To explore the effects of gut microbiota of young (8 weeks) or old mice (18～20 months) on stroke, feces of young (Y1-Y9) and old mice (O6-O16) were collected and analyzed by 16s rRNA sequencing. Then stroke model was established on young mouse receive feces from old mouse (DOT1-15) and young mouse receive feces from young mouse (DYT1-15). 16s rRNA sequencing were also performed for those young mice received feces from young and old mice.
2021-10-15 | E-MTAB-10837 | biostudies-arrayexpress
Project description:The gastrointestinal tract, the largest human microbial reservoir, is highly dynamic. The gut microbes play essential roles in causing colorectal diseases. In the present study, we explored potential keystone taxa during the development of colorectal diseases in central China. Fecal samples of some patients were collected and were allocated to the adenoma (Group A), colorectal cancer (Group C), and hemorrhoid (Group H) groups. The 16S rRNA amplicon and shallow metagenomic sequencing (SMS) strategies were used to recover the gut microbiota. Microbial diversities obtained from 16S rRNA amplicon and SMS data were similar. Group C had the highest diversity, although no significant difference in diversity was observed among the groups. The most dominant phyla in the gut microbiota of patients with colorectal diseases were Bacteroidetes, Firmicutes, and Proteobacteria, accounting for >95% of microbes in the samples. The most abundant genera in the samples were Bacteroides, Prevotella, and Escherichia/Shigella, and further species-level and network analyses identified certain potential keystone taxa in each group. Some of the dominant species, such as Prevotella copri, Bacteroides dorei, and Bacteroides vulgatus, could be responsible for causing colorectal diseases. The SMS data recovered diverse antibiotic resistance genes of tetracycline, macrolide, and beta-lactam, which could be a result of antibiotic overuse. This study explored the gut microbiota of patients with three different types of colorectal diseases, and the microbial diversity results obtained from 16S rRNA amplicon sequencing and SMS data were found to be similar. However, the findings of this study are based on a limited sample size, which warrants further large-scale studies. The recovery of gut microbiota profiles in patients with colorectal diseases could be beneficial for future diagnosis and treatment with modulation of the gut microbiota. Moreover, SMS data can provide accurate species- and gene-level information, and it is economical. It can therefore be widely applied in future clinical metagenomic studies.
| S-EPMC8299945 | biostudies-literature
Project description:Proliferation and/or depletion of clusters of specific bacteria regulate intestinal functions and may interfere with neuro-immune communication and behavior in patients with autism spectrum disorder (ASD). Consistently, qualitative and quantitative alteration of bacterial metabolites may functionally affect ASD pathophysiology. Up to date, age-restricted cohort studies, that may potentially help to identify specific microbial signatures in ASD, are lacking. We investigated the gut microbiota (GM) structure and fecal short chain fatty acids (SCFAs) levels in a cohort of young children (2-4 years of age) with ASD, with respect to age-matched neurotypical healthy controls. Strong increase of Bacteroidetes and Proteobacteria and decrease of Actinobacteria was observed in these patients. Among the 91 OTUs whose relative abundance was altered in ASD patients, we observed a striking depletion of Bifidobacterium longum, one of the dominant bacteria in infant GM and, conversely, an increase of Faecalibacterium prausnitzii, a late colonizer of healthy human gut and a major butyrate producer. High levels of F. prausnitzii were associated to increase of fecal butyrate levels within normal range, and over representation of KEGG functions related to butyrate production in ASD patients. Here we report unbalance of GM structure with a shift in colonization by gut beneficial bacterial species in ASD patients as off early childhood.
| S-EPMC6305749 | biostudies-literature