ArticleAdvances in wound care2013
Using an Agent-Based Model to Examine the Role of Dynamic Bacterial Virulence Potential in the Pathogenesis of Surgical Site Infection.
Article in Advances in wound care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
- Agent-based modeling identifies multiple paths for inflammation resolution.Bioinformatics (Oxford, England) · 2026Article
- Modeling Early Stages of Bone and Joint Infections Dynamics in Humans: A Multi-Agent, Multi-System Based Model.Frontiers in molecular biosciences · 2020Article
- Agent-based models of inflammation in translational systems biology: A decade later.Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Depression and alcohol misuse among older adults: exploring mechanisms and policy impacts using agent-based modelling.Social psychiatry and psychiatric epidemiology · 2019Article
- Identifying important parameters in the inflammatory process with a mathematical model of immune cell influx and macrophage polarization.PLoS computational biology · 2019Article
- Towards a complex systems approach in sports injury research: simulating running-related injury development with agent-based modelling.British journal of sports medicine · 2019Review
- Agent-based model illustrates the role of the microenvironment in regeneration in healthy and mdx skeletal muscle.Journal of applied physiology (Bethesda, Md. : 1985) · 2018Article
- Development of a Computational Model of Abscess Formation.Frontiers in microbiology · 2018Article
- Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine: A Multidisciplinary Perspective.Annals of biomedical engineering · 2016Review
- Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks.Integrative biology : quantitative biosciences from nano to macro · 2015Article
- Agent-based computational model investigates muscle-specific responses to disuse-induced atrophy.Journal of applied physiology (Bethesda, Md. : 1985) · 2015Article
- Agent-based spatiotemporal simulation of biomolecular systems within the open source MASON framework.BioMed research international · 2015Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDespite clinical advances, surgical site infections (SSIs) remain a problem. The development of SSIs involves a complex interplay between the cellular and molecular mechanisms of wound healing and contaminating bacteria, and here, we utilize an agent-based model (ABM) to investigate the role of bacterial virulence potential in the pathogenesis of SSI. APPROACH: The Muscle Wound ABM (MWABM) incorporates muscle cells, neutrophils, macrophages, myoblasts, abstracted blood vessels, and avirulent/virulent bacteria to simulate the pathogenesis of SSIs. Simulated bacteria with virulence potential can mutate to possess resistance to reactive oxygen species and increased invasiveness. Simulated experiments (
resultsThe MWABM reproduced the dynamics of normal successful healing, including a transition zone in initial wound size beyond which healing was significantly impaired. Parameter sweeps with avirulent bacteria demonstrated that smaller wound sizes were associated with healing failure. This effect was even more pronounced with the addition of virulence potential to the contaminating bacteria. INNOVATION: The MWABM integrates the myriad factors involved in the healing of a normal wound and the pathogenesis of SSIs. This type of model can serve as a useful framework into which more detailed mechanistic knowledge can be embedded.
conclusionFuture work will involve more comprehensive representation of host factors, and especially the ability of those host factors to activate virulence potential in the microbes involved.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.