2026-06-18T01:23:02Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/82692024-01-10T01:05:29Zcom_10259_6229com_10259_4534com_10259.4_106com_10259_2604col_10259_6230
Repositorio Institucional de la Universidad de Burgos
author
Birnir, Bjorn
author
Carpio, Ana
author
Cebrián de Barrio, Elena
author
Vidal, Perfecto
2024-01-09T12:56:13Z
2024-01-09T12:56:13Z
2018
1007-5704
http://hdl.handle.net/10259/8269
10.1016/j.cnsns.2017.05.016
1878-7274
Quantifying the action of antibiotics on biofilms is essential to devise therapies against chronic infections. Biofilms are bacterial communities attached to moist surfaces, sheltered from external aggressions by a polymeric matrix. Coupling a dynamic energy budget based description of cell metabolism to surrounding concentration fields, we are able to approximate survival curves measured for different antibiotics. We reproduce numerically stratified distributions of cell types within the biofilm and introduce ways to incorporate different resistance mechanisms. Qualitative predictions follow that are in agreement with experimental observations, such as higher survival rates of cells close to the substratum when employing antibiotics targeting active cells or enhanced polymer production when antibiotics are administered. The current computational model enables validation and hypothesis testing when developing therapies.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Dynamic energy budget
Bacterial biofilm
Antibiotic
Numerical simulation
Dynamic energy budget approach to evaluate antibiotic effects on biofilms
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/8269/1/Birnir-cnsns_2018.pdf
File
MD5
c36986507a68895affce099dec587454
1656281
application/pdf
Birnir-cnsns_2018.pdf