Non-lethal control of the cariogenic potential of an agent-based model for dental plaque.

Dental caries or tooth decay is a prevalent global disease whose causative agent is the oral biofilm known as plaque. According to the ecological plaque hypothesis, this biofilm becomes pathogenic when external challenges drive it towards a state with a high proportion of acid-producing bacteria. De...

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Main Authors: David A Head, Phil D Marsh, Deirdre A Devine
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4140729?pdf=render
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spelling doaj-ca147aeefa324b06b2ecbfdd9729256b2020-11-24T21:58:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0198e10501210.1371/journal.pone.0105012Non-lethal control of the cariogenic potential of an agent-based model for dental plaque.David A HeadPhil D MarshDeirdre A DevineDental caries or tooth decay is a prevalent global disease whose causative agent is the oral biofilm known as plaque. According to the ecological plaque hypothesis, this biofilm becomes pathogenic when external challenges drive it towards a state with a high proportion of acid-producing bacteria. Determining which factors control biofilm composition is therefore desirable when developing novel clinical treatments to combat caries, but is also challenging due to the system complexity and the existence of multiple bacterial species performing similar functions. Here we employ agent-based mathematical modelling to simulate a biofilm consisting of two competing, distinct types of bacterial populations, each parameterised by their nutrient uptake and aciduricity, periodically subjected to an acid challenge resulting from the metabolism of dietary carbohydrates. It was found that one population was progressively eliminated from the system to give either a benign or a pathogenic biofilm, with a tipping point between these two fates depending on a multiplicity of factors relating to microbial physiology and biofilm geometry. Parameter sensitivity was quantified by individually varying the model parameters against putative experimental measures, suggesting non-lethal interventions that can favourably modulate biofilm composition. We discuss how the same parameter sensitivity data can be used to guide the design of validation experiments, and argue for the benefits of in silico modelling in providing an additional predictive capability upstream from in vitro experiments.http://europepmc.org/articles/PMC4140729?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author David A Head
Phil D Marsh
Deirdre A Devine
spellingShingle David A Head
Phil D Marsh
Deirdre A Devine
Non-lethal control of the cariogenic potential of an agent-based model for dental plaque.
PLoS ONE
author_facet David A Head
Phil D Marsh
Deirdre A Devine
author_sort David A Head
title Non-lethal control of the cariogenic potential of an agent-based model for dental plaque.
title_short Non-lethal control of the cariogenic potential of an agent-based model for dental plaque.
title_full Non-lethal control of the cariogenic potential of an agent-based model for dental plaque.
title_fullStr Non-lethal control of the cariogenic potential of an agent-based model for dental plaque.
title_full_unstemmed Non-lethal control of the cariogenic potential of an agent-based model for dental plaque.
title_sort non-lethal control of the cariogenic potential of an agent-based model for dental plaque.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description Dental caries or tooth decay is a prevalent global disease whose causative agent is the oral biofilm known as plaque. According to the ecological plaque hypothesis, this biofilm becomes pathogenic when external challenges drive it towards a state with a high proportion of acid-producing bacteria. Determining which factors control biofilm composition is therefore desirable when developing novel clinical treatments to combat caries, but is also challenging due to the system complexity and the existence of multiple bacterial species performing similar functions. Here we employ agent-based mathematical modelling to simulate a biofilm consisting of two competing, distinct types of bacterial populations, each parameterised by their nutrient uptake and aciduricity, periodically subjected to an acid challenge resulting from the metabolism of dietary carbohydrates. It was found that one population was progressively eliminated from the system to give either a benign or a pathogenic biofilm, with a tipping point between these two fates depending on a multiplicity of factors relating to microbial physiology and biofilm geometry. Parameter sensitivity was quantified by individually varying the model parameters against putative experimental measures, suggesting non-lethal interventions that can favourably modulate biofilm composition. We discuss how the same parameter sensitivity data can be used to guide the design of validation experiments, and argue for the benefits of in silico modelling in providing an additional predictive capability upstream from in vitro experiments.
url http://europepmc.org/articles/PMC4140729?pdf=render
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