Simulating Innate immunity: Enhancing Undergraduate Learning through a Virtual Neutrophil Chemotaxis Assay 2524
Year: 2025
Type: article
Abstract: Description Neutrophils are key cells involved with innate immunity. Following injury, neutrophils follow a chemotactic gradient to phagocytose pathogens, such as bacteria. Several well-controlled events are required, and defects at any stage present as an immune deficiency. At UniSA, immunology is taught to Laboratory Medicine students. This cohort must have a thorough understanding of how neutrophil activity is assessed in a diagnostic laboratory. We cannot demonstrate neutrophil chemotaxis in class due to a lack of equipment, time and access to patient cells with a defined chemotactic defect. To overcome this issue, we developed a computer simulation to authentically replicate this process using multiple chemoattractants and virtual patients with varying levels of deficiency. The simulation provided students with an opportunity to measure both random and directed migration and using a reference range, determine the status of the patient. We used a mixed methods approach to collect student feedback using a Likert-style questionnaire, and free text responses, as well as assessment scores in a formal written laboratory report. Student feedback was overwhelmingly positive, and this approach was found to increase their level of understanding. All students were able to successfully complete the written report achieving high grades. We suggest that authentic computer simulations can effectively teach laboratory concepts in instances where a hands-on demonstration is not possible. Funding Sources None Topic Categories Immunology Education and Communication (EDU)
Source: The Journal of Immunology
Authors: Maurizio Costabile, Gareth Denyer
Institutions: University of South Australia, The University of Sydney
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
SDG: Quality education
Open Access status: bronze
Award: G3590792785
OpenAlex ID: W4416447443
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