Oral microbiota of pancreatic cancer patients
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA595787 | ENA |
REPOSITORIES: ENA
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Project description:The effect of oral microbiota on the intestinal microbiota has garnered growing attention as a mechanism linking periodontal diseases to systemic diseases. However, the salivary microbiota is diverse and comprises numerous bacteria with a largely similar composition in healthy individuals and periodontitis patients. Thus, the systemic effects of small differences in the oral microbiota are unclear. In this study, we explored how health-associated and periodontitis-associated salivary microbiota differently colonized the intestine and their subsequent systemic effects by analyzing the hepatic gene expression and serum metabolomic profiles. The salivary microbiota was collected from a healthy individual and a periodontitis patient and gavaged into C57BL/6NJcl[GF] mice. Samples were collected five weeks after administration. Gut microbial communities were analyzed by 16S ribosomal RNA gene sequencing. Hepatic gene expression profiles were analyzed using a DNA microarray and quantitative polymerase chain reaction. Serum metabolites were analyzed by capillary electrophoresis time-of-flight mass spectrometry. The gut microbial composition at the genus level was significantly different between periodontitis-associated microbiota-administered (PAO) and health-associated oral microbiota-administered (HAO) mice. The hepatic gene expression profile demonstrated a distinct pattern between the two groups, with higher expression of Neat1, Mt1, Mt2, and Spindlin1, which are involved in lipid and glucose metabolism. Disease-associated metabolites such as 2-hydroxyisobutyric acid and hydroxybenzoic acid were elevated in PAO mice. These metabolites were significantly correlated with Bifidobacterium, Atomobium, Campylobacter, and Haemophilus, which are characteristic taxa in PAO mice. Conversely, health-associated oral microbiota were associated with higher levels of beneficial serum metabolites in HAO mice. The multi-omics approach used in this study revealed that periodontitis-associated oral microbiota is associated with the induction of disease phenotype when they colonized the gut of germ-free mice.
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Project description:Molecular alterations induced by tobacco usage are not well characterized in oral squamous cell carcinoma. Tobacco consumption in chewing or smoking forms is a known risk factor in oral cancer. To understand proteomic changes due to tobacco usage in oral cancer patients we carried out comparative proteomic analysis in oral cancer patients who had history of tobacco using habits (patients who chewed tobacco and patients who smoked tobacco) and those with no history of tobacco consumption. Proteomic analysis resulted in the quantification of 5,848 proteins in smoker cohort, 5,216 in chewer, and 5,320 in non-user cohort. Among these 443, 72 and 139 were significantly dysregulated proteins (p-value≤ 0.05 and 2-fold change) in smoker, chewer and non-user cohorts, respectively. Gene ontology and pathway analysis of significantly dysregulated proteins revealed enrichment of distinct biological processes and pathways in each patient cohort. Proteins associated with collagen formation and antigen processing/presentation pathway were dysregulated in oral cancer patients who smoked tobacco, while keratinization process was enriched in patients who chewed tobacco. We also observed dysregulated proteins in non-users to be involved in ECM proteoglycans, metabolism of carbohydrates and glycosaminoglycans. Immune signaling pathways and muscle contraction were identified as common events dysregulated in all three cohorts. This study helps us to decipher the proteomic alterations induced by tobacco usage in oral cancer patients and will assist in identification of early detection markers to identify high risk population
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