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Diffusion Retardation by Binding of Tobramycin in an Alginate Biofilm Model

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Journal PLoS One
Date 2016 Apr 22
PMID 27100887
Citations 31
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Abstract

Microbial cells embedded in a self-produced extracellular biofilm matrix cause chronic infections, e. g. by Pseudomonas aeruginosa in the lungs of cystic fibrosis patients. The antibiotic killing of bacteria in biofilms is generally known to be reduced by 100-1000 times relative to planktonic bacteria. This makes such infections difficult to treat. We have therefore proposed that biofilms can be regarded as an independent compartment with distinct pharmacokinetics. To elucidate this pharmacokinetics we have measured the penetration of the tobramycin into seaweed alginate beads which serve as a model of the extracellular polysaccharide matrix in P. aeruginosa biofilm. We find that, rather than a normal first order saturation curve, the concentration of tobramycin in the alginate beads follows a power-law as a function of the external concentration. Further, the tobramycin is observed to be uniformly distributed throughout the volume of the alginate bead. The power-law appears to be a consequence of binding to a multitude of different binding sites. In a diffusion model these results are shown to produce pronounced retardation of the penetration of tobramycin into the biofilm. This filtering of the free tobramycin concentration inside biofilm beads is expected to aid in augmenting the survival probability of bacteria residing in the biofilm.

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References
1.
Szomolay B, Klapper I, Dockery J, Stewart P . Adaptive responses to antimicrobial agents in biofilms. Environ Microbiol. 2005; 7(8):1186-91. DOI: 10.1111/j.1462-2920.2005.00797.x. View

2.
Westrin B, Axelsson A . Diffusion in gels containing immobilized cells: a critical review. Biotechnol Bioeng. 1991; 38(5):439-46. DOI: 10.1002/bit.260380502. View

3.
Bjarnsholt T, Alhede M, Alhede M, Eickhardt-Sorensen S, Moser C, Kuhl M . The in vivo biofilm. Trends Microbiol. 2013; 21(9):466-74. DOI: 10.1016/j.tim.2013.06.002. View

4.
Sun F, Qu F, Ling Y, Mao P, Xia P, Chen H . Biofilm-associated infections: antibiotic resistance and novel therapeutic strategies. Future Microbiol. 2013; 8(7):877-86. DOI: 10.2217/fmb.13.58. View

5.
Christophersen L, Trostrup H, Malling Damlund D, Bjarnsholt T, Thomsen K, Jensen P . Bead-size directed distribution of Pseudomonas aeruginosa results in distinct inflammatory response in a mouse model of chronic lung infection. Clin Exp Immunol. 2012; 170(2):222-30. PMC: 3482369. DOI: 10.1111/j.1365-2249.2012.04652.x. View