Modeling non-inherited antibiotic resistance
| Autor: | Bootsma, M C J, van der Horst, M A, Guryeva, T, ter Kuile, B H, Diekmann, O, Sub Mathematical Modeling, Sub Stochastics and Decision Theory begr, Sub Analysis begr. 01-01-2014 |
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| Přispěvatelé: | Sub Mathematical Modeling, Sub Stochastics and Decision Theory begr, Sub Analysis begr. 01-01-2014, Molecular Biology and Microbial Food Safety (SILS, FNWI) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Mathematics(all)
Antibiotics Drug Resistance Drug resistance Mathematical model Environmental Science(all) Models Drug Resistance Multiple Bacterial Markov Chain Monte Carlo General Environmental Science Agricultural and Biological Sciences(all) biology General Neuroscience Bacterial Adaptation Physiological Anti-Bacterial Agents Computational Theory and Mathematics International symbols Original Article General Agricultural and Biological Sciences Multiple medicine.drug medicine.drug_class Tetracycline Neuroscience(all) General Mathematics Physiological Non-inherited resistance Immunology Microbial Sensitivity Tests Models Biological General Biochemistry Genetics and Molecular Biology Microbiology symbols.namesake Antibiotic resistance medicine Escherichia coli Animals Humans Adaptation Pharmacology Biochemistry Genetics and Molecular Biology(all) E. coli Amoxicillin Markov chain Monte Carlo biology.organism_classification Biological Physiological Adaptations Bacteria |
| Zdroj: | Bulletin of Mathematical Biology, 74(8), 1691. Springer New York LLC Bulletin of Mathematical Biology Bulletin of Mathematical Biology, 74, 1691-1705. Springer New York |
| ISSN: | 0092-8240 |
| Popis: | A mathematical model is presented for the increase and decrease of non-inherited antibiotic resistance levels in bacteria. The model is applied to experimental data on E. coli exposed to amoxicillin or tetracyclin in different concentrations. The parameters of the model are estimated using a Monte Carlo Markov Chain method. The model accurately describes build-up and decline of antibiotic resistance caused by physiological adaptations as long as no genetic changes have occurred. The main conclusion of the analysis is that short time periods are sufficient to re-obtain low MIC-values after long-lasting exposure to these antibiotics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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