AI Insight
This study presents a computational model that simulates how bacterial cell clusters detach from Staphylococcus epidermidis biofilms, incorporating geometric and force-balance factors such as drag, adhesion, and the local arrangement of bacteria and extracellular polymeric substance (EPS). Unlike previous models that reduce detachment to simple functions of biofilm thickness or EPS density, this framework tracks cluster size and morphology, which influence the biological fate of detached clusters. Using experimental microstructural data from 24-hour-grown biofilms as a benchmark, the model examines how disrupting EPS adhesion at varying levels affects the frequency, size, and shape of detached clusters.
Why it matters
Biofilm detachment from medical devices is a major driver of hospital-acquired infections, as detached clusters can circulate in the bloodstream and seed secondary infection sites; improved predictive models could inform the design of anti-biofilm strategies and medical device coatings that better control or prevent dangerous detachment events.
arXiv:2605.15364v1 Announce Type: new
Abstract: Biofilms, bacteria cells surrounded by a self-produced polymeric matrix, are common on medical devices and lead to many hospital infections. The biofilm lifecycle includes disassembly and dispersion, where bacteria clusters detach from the biofilm, circulate in the bloodstream, and potentially colonize secondary infection sites. Existing models often simplify detachment to a function of biofilm thickness or extracellular polymeric substance (EPS) density, without tracking properties of detached clusters that impact their biological fate, including cluster size and morphology. Addressing this gap, our detachment model accounts for drag and adhesion in tagged sections of the biofilm determined by the cluster geometry and local arrangement of bacteria and EPS. A stickiness parameter controls local EPS adhesion strength, which is modulated to disrupt (or compromise) EPS biomass. We specifically model the detachment of clusters from a Staphylococcus epidermidis biofilm grown for 24 hours. Experimental data for biofilm microstructural features are utilized to benchmark the simulated biofilm, which is then subjected to different EPS disruption levels. We examine parameters that influence detached biofilm cell cluster frequency, size, and shape, providing mechanistic insights into how compromised EPS influences detachment dynamics. This integrated modeling framework is a significant advance in the predictive capabilities for biofilm detachment processes.