Immunobiology and Tensor Modeling of Persistent MRSA Bacteremia

Bacteremia due to methicillin-resistant Staphylococcus aureus (MRSA) is a relatively common life-threatening infection. Yet, up to 30% of cases fail to resolve in a timely manner despite appropriate therapy using antibiotics to which the isolate is susceptible in vitro. Such infections are termed persistent MRSA bacteremia (PB), contrasting with resolving MRSA bacteremia (RB). Our recent studies have examined independent factors shaping PB vs. RB outcomes, uncovering genetic, epigenetic and immunological correlates. However, the integration of distinct types of experimental data to uncover potential multi-dimensional correlates of PB vs. RB has been relatively unexplored. To address this knowledge gap, we developed a tensor-based strategy for computational modeling of diverse data to seek new insights into PB vs. RB outcomes. Results suggest immunological pathways and targets involved in PB outcomes that may not have been detected using any single dataset alone. Such parallax in understanding host–pathogen dynamics driving disease outcomes holds promise for innovative anti-infective and vaccine strategies to meet the challenge of MRSA infection and beyond. Moderator: James A. Glazier, PhD, Indiana University, Bloomington For more information see: Mikkaichi, Tsuyoshi, Michael R. Yeaman, Alexander Hoffmann, and MRSA Systems Immunobiology Group. "Identifying determinants of persistent MRSA bacteremia using mathematical modeling." PLoS computational biology 15, no. 7 (2019): e1007087. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007087 For the slides for this video visit: https://drive.google.com/file/d/1zeG8a6t5yxjJ3zTpcmRWmSy35rH6atnR/view If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://tinyurl.com/GLIMPRINTVideos Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/