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New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food

Botulinum neurotoxins (BoNTs) produced by the anaerobic bacterium Clostridium botulinum are the most potent biological substances known to mankind. BoNTs are the agents responsible for botulism, a rare condition affecting the neuromuscular junction and causing a spectrum of diseases ranging from mil...

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Detalles Bibliográficos
Autores principales: Ihekwaba, Adaoha E. C., Mura, Ivan, Malakar, Pradeep K., Walshaw, John, Peck, Michael W., Barker, G. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751798/
https://www.ncbi.nlm.nih.gov/pubmed/26350137
http://dx.doi.org/10.1128/JB.00630-15
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author Ihekwaba, Adaoha E. C.
Mura, Ivan
Malakar, Pradeep K.
Walshaw, John
Peck, Michael W.
Barker, G. C.
author_facet Ihekwaba, Adaoha E. C.
Mura, Ivan
Malakar, Pradeep K.
Walshaw, John
Peck, Michael W.
Barker, G. C.
author_sort Ihekwaba, Adaoha E. C.
collection PubMed
description Botulinum neurotoxins (BoNTs) produced by the anaerobic bacterium Clostridium botulinum are the most potent biological substances known to mankind. BoNTs are the agents responsible for botulism, a rare condition affecting the neuromuscular junction and causing a spectrum of diseases ranging from mild cranial nerve palsies to acute respiratory failure and death. BoNTs are a potential biowarfare threat and a public health hazard, since outbreaks of foodborne botulism are caused by the ingestion of preformed BoNTs in food. Currently, mathematical models relating to the hazards associated with C. botulinum, which are largely empirical, make major contributions to botulinum risk assessment. Evaluated using statistical techniques, these models simulate the response of the bacterium to environmental conditions. Though empirical models have been successfully incorporated into risk assessments to support food safety decision making, this process includes significant uncertainties so that relevant decision making is frequently conservative and inflexible. Progression involves encoding into the models cellular processes at a molecular level, especially the details of the genetic and molecular machinery. This addition drives the connection between biological mechanisms and botulism risk assessment and hazard management strategies. This review brings together elements currently described in the literature that will be useful in building quantitative models of C. botulinum neurotoxin production. Subsequently, it outlines how the established form of modeling could be extended to include these new elements. Ultimately, this can offer further contributions to risk assessments to support food safety decision making.
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spelling pubmed-47517982016-02-13 New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food Ihekwaba, Adaoha E. C. Mura, Ivan Malakar, Pradeep K. Walshaw, John Peck, Michael W. Barker, G. C. J Bacteriol Minireview Botulinum neurotoxins (BoNTs) produced by the anaerobic bacterium Clostridium botulinum are the most potent biological substances known to mankind. BoNTs are the agents responsible for botulism, a rare condition affecting the neuromuscular junction and causing a spectrum of diseases ranging from mild cranial nerve palsies to acute respiratory failure and death. BoNTs are a potential biowarfare threat and a public health hazard, since outbreaks of foodborne botulism are caused by the ingestion of preformed BoNTs in food. Currently, mathematical models relating to the hazards associated with C. botulinum, which are largely empirical, make major contributions to botulinum risk assessment. Evaluated using statistical techniques, these models simulate the response of the bacterium to environmental conditions. Though empirical models have been successfully incorporated into risk assessments to support food safety decision making, this process includes significant uncertainties so that relevant decision making is frequently conservative and inflexible. Progression involves encoding into the models cellular processes at a molecular level, especially the details of the genetic and molecular machinery. This addition drives the connection between biological mechanisms and botulism risk assessment and hazard management strategies. This review brings together elements currently described in the literature that will be useful in building quantitative models of C. botulinum neurotoxin production. Subsequently, it outlines how the established form of modeling could be extended to include these new elements. Ultimately, this can offer further contributions to risk assessments to support food safety decision making. American Society for Microbiology 2015-12-29 /pmc/articles/PMC4751798/ /pubmed/26350137 http://dx.doi.org/10.1128/JB.00630-15 Text en Copyright © 2015 Ihekwaba et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/) .
spellingShingle Minireview
Ihekwaba, Adaoha E. C.
Mura, Ivan
Malakar, Pradeep K.
Walshaw, John
Peck, Michael W.
Barker, G. C.
New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food
title New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food
title_full New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food
title_fullStr New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food
title_full_unstemmed New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food
title_short New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food
title_sort new elements to consider when modeling the hazards associated with botulinum neurotoxin in food
topic Minireview
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751798/
https://www.ncbi.nlm.nih.gov/pubmed/26350137
http://dx.doi.org/10.1128/JB.00630-15
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