Ghosh, Shobha

Reynolds, Angela

Segal, Rebecca

Torres, Marcella

English

VCU Scholars Compass

Virginia Commonwealth UniversityVCU Scholars CompassBiology and Medicine Through MathematicsConference 2018May 30th, 4:00 PM - 4:30 PMParameter estimation for a model of peritonitisfocusing on the sequential immune cell responseMarcella TorresVirginia Commonwealth University, torresmm@vcu.eduAngela ReynoldsVirginia Commonwealth UniversityRebecca SegalVirginia Commonwealth UniversitySee next page for additional authorsFollow this and additional works at: https://scholarscompass.vcu.edu/bammPart of the Life Sciences Commons, Medicine and Health Sciences Commons, and the PhysicalSciences and Mathematics CommonsThis Event is brought to you for free and open access by the Dept. of Mathematics and Applied Mathematics at VCU Scholars Compass. It has beenaccepted for inclusion in Biology and Medicine Through Mathematics Conference by an authorized administrator of VCU Scholars Compass. Formore information, please contact libcompass@vcu.edu.https://scholarscompass.vcu.edu/bamm/2018/wednesday/8Presenter InformationMarcella Torres, Angela Reynolds, Rebecca Segal, and Shobha GhoshThis event is available at VCU Scholars Compass: https://scholarscompass.vcu.edu/bamm/2018/wednesday/8Parameter estimation for a model of peritonitis focusing on the sequential immune cell response Macrophages can be activated to a more inflammatory M1 phenotype or to an M2-like phenotype which promotes the resolution of inflammation. Problems with this phenotypic switch can result in a population imbalance that leads to chronic wounds or disease. We have developed a model for the sequential influx of immune cells in the peritoneal cavity in response to a bacterial stimulus that includes macrophage polarization. With this model we are able to reproduce the expected timing of sequential influx of immune cells and mediators in a general inflammatory setting. Weighted least-squares parameter estimates were obtained for this data (scaled) using trust region optimization in logarithmic parameter space. We then explore local structural and practical identifiability of the proposed model a posteriori, and obtain an identifiable subset of parameters for simulation of treatments.   

Parameter estimation for a model of peritonitis focusing on the sequential immune cell response

https://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=1257&context=bamm

Parameter estimation for a model of peritonitis focusing on the sequential immune cell response

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