dorsal/arxiv
View SchemaOptimal strategies for fighting persistent bugs
| Authors | Ole Steuernagel, Daniel Polani |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0512003 |
| URL | https://arxiv.org/abs/q-bio/0512003 |
| DOI | 10.1109/TEVC.2010.2040181 |
| License | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
Abstract
Some microbial organisms are known to randomly slip into and out of hibernation, irrespective of environmental conditions [1]. In a (genetically) uniform population a typically very small subpopulation becomes metabolically inactive whereas the majority subpopulation remains active and grows. Bacteria such as E. coli, Staphylococcus aureus (MRSA-superbug), Mycobacterium tuberculosis, and Pseudomonas aeruginosa [1-3] show persistence. It can render bacteria less vulnerable in adverse environments [1, 4, 5] and their effective eradication through medication more difficult [2, 3, 6]. Here we show that medication treatment regimes may have to be modified when persistence is taken into account and characterize optimal approaches assuming that the total medication dose is constrained. The determining factors are cumulative toxicity, eradication power of the medication and bacterial response timescales. Persistent organisms have to be fought using tailored eradication strategies which display two fundamental characteristics. Ideally, the treatment time should be significantly longer than in the case of persistence with the medication uniformly spread out over time; however, if treatment time has to be limited, then the application of medication has to be concentrated towards the beginning and end of the treatment. These findings deviate from current clinical practice, and may therefore help to optimize and simplify treatments. Our use of multi-objective optimization [7] to map out the optimal strategies can be generalized to other related problems.
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"abstract": "Some microbial organisms are known to randomly slip into and out of\nhibernation, irrespective of environmental conditions [1]. In a (genetically)\nuniform population a typically very small subpopulation becomes metabolically\ninactive whereas the majority subpopulation remains active and grows. Bacteria\nsuch as E. coli, Staphylococcus aureus (MRSA-superbug), Mycobacterium\ntuberculosis, and Pseudomonas aeruginosa [1-3] show persistence. It can render\nbacteria less vulnerable in adverse environments [1, 4, 5] and their effective\neradication through medication more difficult [2, 3, 6]. Here we show that\nmedication treatment regimes may have to be modified when persistence is taken\ninto account and characterize optimal approaches assuming that the total\nmedication dose is constrained. The determining factors are cumulative\ntoxicity, eradication power of the medication and bacterial response\ntimescales. Persistent organisms have to be fought using tailored eradication\nstrategies which display two fundamental characteristics. Ideally, the\ntreatment time should be significantly longer than in the case of persistence\nwith the medication uniformly spread out over time; however, if treatment time\nhas to be limited, then the application of medication has to be concentrated\ntowards the beginning and end of the treatment. These findings deviate from\ncurrent clinical practice, and may therefore help to optimize and simplify\ntreatments. Our use of multi-objective optimization [7] to map out the optimal\nstrategies can be generalized to other related problems.",
"arxiv_id": "q-bio/0512003",
"authors": [
"Ole Steuernagel",
"Daniel Polani"
],
"categories": [
"q-bio.OT",
"q-bio.PE"
],
"doi": "10.1109/TEVC.2010.2040181",
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"title": "Optimal strategies for fighting persistent bugs",
"url": "https://arxiv.org/abs/q-bio/0512003"
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