Math Bio Seminar

Dr. Tyler Cassidy, The University of Leeds, UK
Multiscale mathematical modeling identifies serum hepatitis B RNA as an informative biomarker of antiviral treatment efficacy


Chronic hepatitis B virus (HBV) infection is strongly associated with increased risk of liver cancer and cirrhosis and accounts for approximately one million deaths per year, worldwide. While existing treatments effectively inhibit the HBV life cycle, viral rebound occurs rapidly following treatment interruption. Consequently, there is no functional cure for chronic HBV infection currently available and patients must therefore receive treatment indefinitely. The resulting life-long treatment leads to increased treatment burden for patients and an increased risk of selection for treatment resistant strains of HBV. Consequently, there is increased interest in a novel treatment modality, core protein assembly modulators (CAMs), that blocks a crucial step in the viral life cycle. I'll discuss recent modeling work that shows HBV serum RNA is an informative biomarker of CAM treatment efficacy, evaluates CAMs as a potential functional cure for HBV infection, and illustrates the role of mechanistic modeling in rational trial design using an age structured, multi-scale mathematical model.

Event Date: 
April 8, 2024 - 3:30pm to 4:30pm
105 MLH
Calendar Category: 
Seminar Category: 
Mathematical Biology