Giliberti, Renato (2022) Oral plaque microbiome resilience under external dietary stimuli. [Tesi di dottorato]

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Item Type:	Tesi di dottorato
Resource language:	English
Title:	Oral plaque microbiome resilience under external dietary stimuli
Creators:	Creators Email Giliberti, Renato renato.gilberti@unina.it
Date:	12 December 2022
Number of Pages:	143
Institution:	Università degli Studi di Napoli Federico II
Department:	Agraria
Dottorato:	Food Science
Ciclo di dottorato:	34
Coordinatore del Corso di dottorato:	nome email Barone, Amalia ambarone@unina.it
Tutor:	nome email Pasolli, Edoardo UNSPECIFIED Bolzan, Mattia UNSPECIFIED Georg, Zeller UNSPECIFIED
Date:	12 December 2022
Number of Pages:	143
Keywords:	food science; oral microbiome; metagenomics; diet; peri-implantitis; oral diseases
Settori scientifico-disciplinari del MIUR:	Area 07 - Scienze agrarie e veterinarie > AGR/15 - Scienze e tecnologie alimentari Area 01 - Scienze matematiche e informatiche > INF/01 - Informatica Area 01 - Scienze matematiche e informatiche > MAT/06 - Probabilità e statistica matematica
Date Deposited:	19 Jan 2023 14:08
Last Modified:	28 Feb 2024 11:11
URI:	http://www.fedoa.unina.it/id/eprint/14355

Collection description

Current knowledge allows us to predict host phenotype based on the microbiome composition. Last studies have demonstrated how we can predict disease state starting from oral microbiome composition. Oral microbiome characterization has been made mainly using 16S sequencing techniques. Dietary habits influence on oral microbiome composition has been defined marginally and with obsolete techniques. The objective of this research project is to fulfil the lack in terms of dietary habits influence on oral microbiome using the latest sequencing technologies and using statistical, computational and machine learning approaches. The study was conducted on a cohort composed of 451 subjects with dental implants. Results showed that Random forest algorithm is the classifier able to maximize classification performances. We show weak correlations between dietary habits and implant disease state while multiple correlations between dietary habits and microbial species results as statistical significant more specifically between carbohydrates sources and some potentially pathogenic species. The extension of the analysis to metabolic potential allow us to identify the correlations between carbohydrates and fat sources consumption and different metabolic pathways involved in different pathogenic processes.

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