Exploration of the Role of Disinfection Timing, Duration, and Other Control Parameters on Bacterial Populations Using a Mathematical Model
Tolerant bacteria enmeshed in a biofilm causes several difficult to treat illnesses like tuberculosis, chronic pneumonia, and chronic inner ear infections. These diseases typically respond poorly to antibiotics due to high tolerance. Bacterial tolerance can be genotypic (resistance-e.g. MRSA), pheno...
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ndltd-fsu.edu-oai-fsu.digital.flvc.org-fsu_6506802020-09-02T05:05:39Z Exploration of the Role of Disinfection Timing, Duration, and Other Control Parameters on Bacterial Populations Using a Mathematical Model Acar, Nihan (author) Cogan, Nicholas G. (professor directing dissertation) Keller, Thomas C. S. (university representative) Bertram, R. (committee member) Mio, Washington (committee member) Florida State University (degree granting institution) College of Arts and Sciences (degree granting college) Department of Mathematics (degree granting departmentdgg) Text text doctoral thesis Florida State University English eng 1 online resource (90 pages) computer application/pdf Tolerant bacteria enmeshed in a biofilm causes several difficult to treat illnesses like tuberculosis, chronic pneumonia, and chronic inner ear infections. These diseases typically respond poorly to antibiotics due to high tolerance. Bacterial tolerance can be genotypic (resistance-e.g. MRSA), phenotypic (non-heritable) or environmental (e.g. nutrient gradients). Persister formation is phenotypic tolerance that is highly tolerant to disinfection. Constant dosing is typically ineffective in eliminating persister cells. To generate an effective treatment protocol, more research must examine the dynamics of persister cells. This study investigates how manipulating the application of antibiotics and the addition of nutrient may enhance the disinfection of a bacterial population in batch culture. Previous studies focused on the antimicrobial agent as a control variable to eliminate the bacterial population. In addition to antibiotic treatments, we consider the significance of the nutrient in eradicating the susceptible and persister cells since the disinfection of the susceptible population is dependent on nutrient intake. We present a mathematical model that captures the dynamics between susceptible and persister bacteria with antibiotic and nutrient as control variables. We investigate the optimal dose-withdrawal timing of antibiotic in several cases including: constant nutrient in time, dynamic nutrient in time, and piecewise constant nutrient in time. Also a global sensitivity analysis method, Partial Rank Correlation Coefficient (PRCC), is applied to determine the significance of model parameters for a quantity of interest. The highlights of this study are; 1.) Constant dosing is not an effective disinfection protocol. 2.) Nutrient plays a significant role such that in the presence of nutrient, bacterial population is eliminated much faster. 3.) Checking the eigenvalues of the established Poincaré map gives us information on how to choose withdraw-dose timing for the nonlinear system. 4.) Periodic dose-withdraw offers a more efficient disinfection provided dose time is longer than withdrawal of antibiotic. 5.) As duration of dose decreases, the elimination of bacteria decreases and the death rate becomes insignificant. A Dissertation submitted to the Department of Mathematics in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Summer Semester 2018. July 19, 2018. Antibiotic Challenge, Nutrient Timing, Persister Formation, Poincarè Map, PRCC, Sensitivity Analysis Includes bibliographical references. Nick G. Cogan, Professor Directing Dissertation; Thomas Keller, University Representative; Richard Bertram, Committee Member; Washington Mio, Committee Member. Mathematics Biology Applied mathematics 2018_Su_Acar_fsu_0071E_14749 http://purl.flvc.org/fsu/fd/2018_Su_Acar_fsu_0071E_14749 http://diginole.lib.fsu.edu/islandora/object/fsu%3A650680/datastream/TN/view/Exploration%20of%20the%20Role%20of%20Disinfection%20Timing%2C%20Duration%2C%20and%20Other%20Control%20Parameters%20on%20Bacterial%20Populations%20Using%20a%20Mathematical%20Model.jpg |
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Mathematics Biology Applied mathematics Exploration of the Role of Disinfection Timing, Duration, and Other Control Parameters on Bacterial Populations Using a Mathematical Model |
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Tolerant bacteria enmeshed in a biofilm causes several difficult to treat illnesses like tuberculosis, chronic pneumonia, and chronic inner ear infections. These diseases typically respond poorly to antibiotics due to high tolerance. Bacterial tolerance can be genotypic (resistance-e.g. MRSA), phenotypic (non-heritable) or environmental (e.g. nutrient gradients). Persister formation is phenotypic tolerance that is highly tolerant to disinfection. Constant dosing is typically ineffective in eliminating persister cells. To generate an effective treatment protocol, more research must examine the dynamics of persister cells. This study investigates how manipulating the application of antibiotics and the addition of nutrient may enhance the disinfection of a bacterial population in batch culture. Previous studies focused on the antimicrobial agent as a control variable to eliminate the bacterial population. In addition to antibiotic treatments, we consider the significance of the nutrient in eradicating the susceptible and persister cells since the disinfection of the susceptible population is dependent on nutrient intake. We present a mathematical model that captures the dynamics between susceptible and persister bacteria with antibiotic and nutrient as control variables. We investigate the optimal dose-withdrawal timing of antibiotic in several cases including: constant nutrient in time, dynamic nutrient in time, and piecewise constant nutrient in time. Also a global sensitivity analysis method, Partial Rank Correlation Coefficient (PRCC), is applied to determine the significance of model parameters for a quantity of interest. The highlights of this study are; 1.) Constant dosing is not an effective disinfection protocol. 2.) Nutrient plays a significant role such that in the presence of nutrient, bacterial population is eliminated much faster. 3.) Checking the eigenvalues of the established Poincaré map gives us information on how to choose withdraw-dose timing for the nonlinear system. 4.) Periodic dose-withdraw offers a more efficient disinfection provided dose time is longer than withdrawal of antibiotic. 5.) As duration of dose decreases, the elimination of bacteria decreases and the death rate becomes insignificant. === A Dissertation submitted to the Department of Mathematics in partial fulfillment of the requirements for the degree of Doctor of Philosophy. === Summer Semester 2018. === July 19, 2018. === Antibiotic Challenge, Nutrient Timing, Persister Formation, Poincarè Map, PRCC, Sensitivity Analysis === Includes bibliographical references. === Nick G. Cogan, Professor Directing Dissertation; Thomas Keller, University Representative; Richard Bertram, Committee Member; Washington Mio, Committee Member. |
author2 |
Acar, Nihan (author) |
author_facet |
Acar, Nihan (author) |
title |
Exploration of the Role of Disinfection Timing, Duration, and Other Control Parameters on Bacterial Populations Using a Mathematical Model |
title_short |
Exploration of the Role of Disinfection Timing, Duration, and Other Control Parameters on Bacterial Populations Using a Mathematical Model |
title_full |
Exploration of the Role of Disinfection Timing, Duration, and Other Control Parameters on Bacterial Populations Using a Mathematical Model |
title_fullStr |
Exploration of the Role of Disinfection Timing, Duration, and Other Control Parameters on Bacterial Populations Using a Mathematical Model |
title_full_unstemmed |
Exploration of the Role of Disinfection Timing, Duration, and Other Control Parameters on Bacterial Populations Using a Mathematical Model |
title_sort |
exploration of the role of disinfection timing, duration, and other control parameters on bacterial populations using a mathematical model |
publisher |
Florida State University |
url |
http://purl.flvc.org/fsu/fd/2018_Su_Acar_fsu_0071E_14749 |
_version_ |
1719339183834660864 |