Ontology highlight
ABSTRACT:
PROVIDER: PRJNA937331 | ENA |
REPOSITORIES: ENA
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Project description:Approximately 15% of US adults have circulating levels of uric acid above its solubility limit, which is causally linked to the inflammatory disease gout. In most mammals, uric acid elimination is facilitated by the enzyme uricase. However, human uricase is a pseudogene, having been inactivated early in hominid evolution. Though it has long been known that a substantial amount of uric acid is eliminated in the gut, the role of the gut microbiota in hyperuricemia has not been studied. Here we identify a gene cluster, widely distributed in the gut microbiome, that encodes a pathway for uric acid degradation. Stable isotope tracing demonstrates that gut bacteria metabolize uric acid to xanthine or short chain fatty acids such as acetate, lactate and butyrate. Ablation of the microbiota in uricase-deficient mice causes profound hyperuricemia, and anaerobe-targeted antibiotics increase the risk of gout in humans. These data reveal a role for the gut microbiota in uric acid excretion and highlight the potential for microbiome-targeted therapeutics in hyperuricemia.
2023-06-16 | GSE206419 | GEO
Project description:We developed a non-invasive ex vivo HT29 cell-based minimal model to fingerprint the mucosa-associated microbiota fraction in humans. HT29 cell-associated fractions were characterized by the universal phylogenetic array platform HTF-Microbi.Array, both in presence or in absence of a TNF-M-NM-1-mediated pro-inflammatory stimulus. A high taxonomical level fingerprint profiling of the mucosa-associated microbiota was performed on a group of 12 breast-fed infants and 6 adults (used as controls). Relative abundance of the bacterial species was assessed by using a so-called HTF-Microbi.Array, based on a ligation detection reaction (LDR) - Univerasal array (UA) assay, capable of correctly identify up to 31 intestinal bacterial groups, covering up to 95% of the human gut microbiota
2013-09-26 | E-GEOD-51177 | biostudies-arrayexpress
Project description:Here we exploited a Han Chinese population-based cohort with extensive host metadata established in the Pinggu (PG) district of Beijing, and investigated gut microbiota from 2,338 adults (26-76 years) by metagenomic sequencing, revealing associations of the gut microbiota with sex, sex hormones, age, and a number of clinical and metabolic parameters.
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Project description:We used a DNA microarray chip covering 369 resistance types to investigate the relation of antibiotic resistance gene diversity with humans’ age. Metagenomic DNA from fecal samples of 123 healthy volunteers of four different age groups, i.e. pre-school Children (CH), School Children (SC), High School Students (HSS) and Adults (AD) were used for hybridization. The results showed that 80 different gene types were recovered from the 123 individuals gut microbiota, among which 25 were present in CH, 37 in SC, 58 in HSS and 72 in AD. Further analysis indicated that antibiotic resistance genes in groups of CH, SC and AD can be independently clustered, and those ones in group HSS are more divergent. The detailed analysis of antibiotic resistance genes in human gut is further described in the paper DNA microarray analysis reveals the antibiotic resistance gene diversity in human gut microbiota is age-related submitted to Sentific Reports
2014-01-16 | GSE54070 | GEO