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Dysbiotic gut microbiota in pancreatic cancer patients form correlation networks with the oral microbiota and prognostic factors.

ABSTRACT: Microbiota in the gut and oral cavities of pancreatic cancer (PC) patients differ from those of healthy persons, and bacteria in PC tissues are associated with patients' prognoses. However, the species-level relationship between a dysbiotic gut, oral and cancerous microbiota, and prognostic factors remains unknown. Whole-genome sequencing was performed with fecal DNA from 24 PC patients and 18 healthy persons (HD). Microbial taxonomies, metabolic pathways, and viral presence were determined. DNA was sequenced from saliva and PC tissues, and the association between the gut, oral, and cancer microbiota and prognostic factors in PC patients was analyzed. The PC microbiota were altered from those of the healthy microbiota in terms of microbial taxonomy, pathways and viral presence. Twenty-six species differed significantly between the PC and HD microbiota. Six fecal microbes, including Klebsiella pneumoniae, were associated with an increased hazard of death. In the co-occurrence network, microbes that were abundant in PC patients were plotted close together and formed clusters with prognosis-associated microbes, including K. pneumoniae. Multiple salivary microbes were present in the co-occurrence network. Microbacterium and Stenotrophomonas were detected in the PC tissues and formed a network with the fecal and salivary microbes. The dysbiotic gut microbiota in the PC patients formed a complex network with the oral and cancerous microbiota, and gut microbes abundant in the PC patients were closely linked with poor prognostic factors in the network.

SUBMITTER: Matsukawa H

PROVIDER: S-EPMC8263681 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Rheumatoid arthritis (RA) is influenced by oral and gut bacteria; however, much less is known about the relationship between oral or gut viromes and RA. Here, we performed whole-oral- and whole-gut-virome analyses based on shotgun sequencing of 497 samples. A comparative analysis of the oral and gut viromes in healthy controls and untreated and treated RA patients was performed, and system interaction networks among viruses, bacteria, and RA-associated clinical indices were constructed to address the potential relationship between the virome and RA by principal-coordinate analysis, distance-based redundancy analysis, permutational multivariate analysis, Spearman correlation coefficient analysis, and random-forest model analysis. The results showed that the viromes could be profiled in dental plaque, saliva, and fecal samples, among which saliva had the highest within-sample diversity. Importantly, significantly different diversities and compositions of the oral (i.e., dental plaque and saliva) viromes were observed not only between RA patients and healthy controls but also between untreated and treated RA patients, yet there were relatively minor differences in the gut viromes. Furthermore, to understand how these viruses affected the bacteriome, a virus-bacterium interaction network was constructed from dental plaque, saliva, and fecal samples of RA patients. Additionally, some RA-associated oral taxa, including Lactococcus phage (vOTU70), Bacteroides vulgatus, Lactococcus lactis, Escherichia coli, and Neisseria elongata, were correlated with the RA-related clinical indices. Whole-virome analysis illustrated the potential role of the oral and gut viromes in affecting our body either directly or via bacteria, which characterized neglected and new candidates contributing to the development of RA. IMPORTANCE Our results demonstrated community variation among dental plaque, saliva, and fecal viromes. In oral and gut samples from untreated and treated RA patients, the perturbance of viral composition and the correlation network of microbes and RA-associated clinical indices might be involved in the pathogenicity of RA. The findings in this study expand the knowledge of the potential role of oral and gut viral communities in the development of RA and may contribute to research on correlations between viruses and other diseases.

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Dysbiotic gut microbiota in pancreatic cancer patients form correlation networks with the oral microbiota and prognostic factors.

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