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Theoretical and experimental evidence for eliminating persister bacteria by manipulating killing timing.
Cogan, N G; Rath, H; Kommerein, N; Stumpp, S N; Stiesch, M.
Affiliation
  • Cogan NG; Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Carl-Neuberg-Strasse 1, Hannover, 30625, Germany cogan@math.fsu.edu.
  • Rath H; Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Carl-Neuberg-Strasse 1, Hannover, 30625, Germany.
  • Kommerein N; Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Carl-Neuberg-Strasse 1, Hannover, 30625, Germany.
  • Stumpp SN; Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Carl-Neuberg-Strasse 1, Hannover, 30625, Germany.
  • Stiesch M; Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Carl-Neuberg-Strasse 1, Hannover, 30625, Germany.
FEMS Microbiol Lett ; 363(23)2016 12.
Article in En | MEDLINE | ID: mdl-27915255
ABSTRACT
Formation of a transient sub-population of bacteria, referred to as persisters, is one of the most important and least understood mechanisms that bacteria employ to evade elimination. Persister cells appear to be slow-growing bacteria that are broadly protected from a wide range of antibiotics. Using both theoretical and experimental methods, we show that alternating the application and withdrawal of antibiotics can be an effective treatment-as long as the timing of the protocol is estimated with precision. More specifically, we demonstrate that timing the alternating treatment based on theoretical predictions is confirmed using experimental observations. These results support a large class of theoretical studies that show that, even without complete understanding of the biological mechanisms, these models can provide insight into properties of the system.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Staphylococcal Infections / Staphylococcus aureus / Drug Resistance, Multiple, Bacterial / Anti-Bacterial Agents / Models, Theoretical Type of study: Guideline / Prognostic_studies Language: En Journal: FEMS Microbiol Lett Year: 2016 Document type: Article Affiliation country: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Staphylococcal Infections / Staphylococcus aureus / Drug Resistance, Multiple, Bacterial / Anti-Bacterial Agents / Models, Theoretical Type of study: Guideline / Prognostic_studies Language: En Journal: FEMS Microbiol Lett Year: 2016 Document type: Article Affiliation country: Alemania