WG/GLIMPRINT Seminars: Griffiths, Viral Heart Infection, September 19, 2024
Systems Biology Insights into Viral Heart-Infection Susceptibility and Host Responses
Cameron Griffiths, PhD
University of Virginia
Multiple viruses can infect the human heart and infection causes a range of outcomes from asymptomatic disease to heart failure. These outcomes are driven by patient-to-patient variation in viral susceptibility and responses to infection. In this presentation, I will highlight how data science-based systems biology approaches identify three fundamental ways human hearts respond to viral heart infection. In addition, I will describe how combining statistical modeling of RNA-protein relationships with a mechanistic model of coxsackievirus B3 infection can inform patient-specific susceptibilities to viral heart infection. Collectively, this work provides a framework for predicting and interpreting viral heart infections, which may lead to interventions that halt the progression to heart failure.
For more information see: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10996681/
For more information see: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10996681/
*Contents*
00:00 - Introduction
08:26 - Systems Biology Insights into Viral Heart-Infection Susceptibility and Host Responses
41:09 - Questions and Discussions
Moderator: James A. Glazier, PhD, Indiana University, Bloomington
If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat
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/
Видео WG/GLIMPRINT Seminars: Griffiths, Viral Heart Infection, September 19, 2024 канала James Glazier
Cameron Griffiths, PhD
University of Virginia
Multiple viruses can infect the human heart and infection causes a range of outcomes from asymptomatic disease to heart failure. These outcomes are driven by patient-to-patient variation in viral susceptibility and responses to infection. In this presentation, I will highlight how data science-based systems biology approaches identify three fundamental ways human hearts respond to viral heart infection. In addition, I will describe how combining statistical modeling of RNA-protein relationships with a mechanistic model of coxsackievirus B3 infection can inform patient-specific susceptibilities to viral heart infection. Collectively, this work provides a framework for predicting and interpreting viral heart infections, which may lead to interventions that halt the progression to heart failure.
For more information see: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10996681/
For more information see: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10996681/
*Contents*
00:00 - Introduction
08:26 - Systems Biology Insights into Viral Heart-Infection Susceptibility and Host Responses
41:09 - Questions and Discussions
Moderator: James A. Glazier, PhD, Indiana University, Bloomington
If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat
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/
Видео WG/GLIMPRINT Seminars: Griffiths, Viral Heart Infection, September 19, 2024 канала James Glazier
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20 сентября 2024 г. 13:16:24
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