Presentation Title

The Oral Microbiome, Predictive Medicine and Multivariate Analysis of Resident Bacterial Populations that Pose a Disease Risk

Faculty Mentor

Dr. James Harber

Start Date

18-11-2017 2:15 PM

End Date

18-11-2017 3:15 PM

Location

BSC-Ursa Minor 117

Session

Poster 3

Type of Presentation

Poster

Subject Area

health_nutrition_clinical_science

Abstract

Approximately seven hundred bacterial species and an undefined population of eukaryotes and viruses are found in the microbiota of the tooth, tongue, throat and cheek. These constitute a normal flora of uncertain specific composition in each healthy person. However, these same resident microorganisms also have the capacity to become dangerous sole pathogens or act in dangerous combinations. We hypothesized that with a simple classroom exercise to extract samples of the tooth microbiome by DNA toothbrush, we could identify a significant number of the most common, at-risk bacteria found in the oral cavity. The microbiome analysis of ten student samples was determined by next generation sequencing on an Illumina platform. In the results, 160 bacterial species and their population frequency for analysis were determined with in this simple classroom assay. The data showed that bacteria, which pose a disease risk, are present. A multivariate approach applied to the data yields patterns consistent with risk from multiple species. Our conclusion is a demonstration of risk analysis of the oral microbiome of students is an effective and informative predictive medicine method. Numerous diseases such as aggressive periodontitis, Alzheimer’s disease, pancreatic cancer, diabetes, cardiovascular disease, and preterm labor are directly linked to specific combinations of species in the human oral microbiome. In the future, the dentist will likely have the capacity to order microbiome data to inform patients of their oral microbiome as a preventative and diagnostic option.

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Nov 18th, 2:15 PM Nov 18th, 3:15 PM

The Oral Microbiome, Predictive Medicine and Multivariate Analysis of Resident Bacterial Populations that Pose a Disease Risk

BSC-Ursa Minor 117

Approximately seven hundred bacterial species and an undefined population of eukaryotes and viruses are found in the microbiota of the tooth, tongue, throat and cheek. These constitute a normal flora of uncertain specific composition in each healthy person. However, these same resident microorganisms also have the capacity to become dangerous sole pathogens or act in dangerous combinations. We hypothesized that with a simple classroom exercise to extract samples of the tooth microbiome by DNA toothbrush, we could identify a significant number of the most common, at-risk bacteria found in the oral cavity. The microbiome analysis of ten student samples was determined by next generation sequencing on an Illumina platform. In the results, 160 bacterial species and their population frequency for analysis were determined with in this simple classroom assay. The data showed that bacteria, which pose a disease risk, are present. A multivariate approach applied to the data yields patterns consistent with risk from multiple species. Our conclusion is a demonstration of risk analysis of the oral microbiome of students is an effective and informative predictive medicine method. Numerous diseases such as aggressive periodontitis, Alzheimer’s disease, pancreatic cancer, diabetes, cardiovascular disease, and preterm labor are directly linked to specific combinations of species in the human oral microbiome. In the future, the dentist will likely have the capacity to order microbiome data to inform patients of their oral microbiome as a preventative and diagnostic option.