Project description:The current study aims to characterize the salivary proteome (host proteome and microbiome) in children with MIH, to discover salivary markers indicative of the pathology.
Project description:We developed a free-flow isoelectric focusing (FFIEF) based metaproteomics workflow to reduce the host interferences and enrich the low-abundant bacteria for better interpretation of salivary microbiome. We firstly tested the pretreatment module that could significantly reduce the host interferences by differential centrifugation and filtration. Then the FFIEF module was applied to separate the microbes and enrich the low-abundant bacteria, which showed a significant improvement in the identification efficiency of microbiome sample. Applying our method to lung cancer, we successfully identified Fusobacterium, Neisseriaceae, Actinomycetaceae, Burkholderiales, and Spirochaetia were associated with lung cancer as previous sequencing studies did, along with other 16 significantly different species. The dysregulated functions in lung cancer microbiome were also explained in details. Our workflow provides improved efficiency in identification and characterization of the salivary microbiome with great reproducibility. The ability of enriching low-abundant bacteria and functions enables in-deep analysis of previously underestimated information.
Project description:Background: Schizophrenia (SZ) is a chronic, severe mental disorder that presents significant challenges to diagnosis and effective treatment. Emerging evidence suggests that gut microbiota may play a role in the disease's pathogenesis. However, fewer studies have directly investigated the potential links between oral microbiota and SZ. Purpose: This study aimed to explore the relationship between salivary microbiota dysbiosis and SZ, examining microbial and metabolic alterations that may contribute to SZ pathophysiology. Methods: Salivary samples from 30 hospitalized patients diagosed with SZ and 10 healthy controls were collected. The microbial and metabolic profiles were analyzed using 16S rRNA gene sequencing and metabolomic profiling. Clinical parameters, including oral health status, were also evaluated to minimize variability in sampling. Results: Patients with SZ exhibited significantly poorer oral health compared to healthy controls, with more missing teeth and worse periodontal status. Microbiota sequencing revealed notable alterations in the overall structure and composition of the salivary microbiome in SZ patients, characterized by increased abundance of specific genera such as Neisseria and Porphyromonas. Metabolomic analysis indicated significant differences between the SZ and control groups, with upregulation of key metabolic pathways, including “β-alanine metabolism” and “vitamin digestion and absorption”. Correlations between microbial dysbiosis and elevated levels of certain metabolites, such as L-methionine sulfoxide (L-MetO) and tyramine, were observed, suggesting links to oxidative stress. Conclusion: The study highlights the presence of significant dysbiosis and metabolic dysfunction in the salivary microbiota of SZ patients, suggesting that alterations in the oral microbiome may contribute to SZ pathogenesis. These results provide new insights into potential diagnostic biomarkers and therapeutic targets for SZ. Further studies with larger sample sizes are required to validate these findings.
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.
Project description:Human microbiome contains billions of microorganisms that play important roles in the biological system and different diseases. Due to its complexity, conventional culture-independent technology may underestimate the value of low-abundance bacteria, which calls for a highly efficient method for its enrichment and comprehensive analysis. In this study, we developed a recycling free-flow isoelectric focusing (RFFIEF) method-based electrophoresis method to separate salivary microbiome.
2021-03-10 | PXD024619 |
Project description:Salivary microbiome sequencing of astronauts