Center for Viral Systems Biology (CViSB)

NIH RePORTER · AI · U19 · $2,565,260 · view on reporter.nih.gov ↗

Abstract

Project Summary - Center for Viral Systems Biology (CViSB) The COVID-19 pandemic is a stark reminder of the threat posed by infectious diseases, but other priority pathogens, such as Lassa and Ebola viruses, continue to pose significant challenges in endemic areas. Infection with Lassa, Ebola, and SARS-CoV-2 viruses can lead to diverse acute and long-term outcomes, ranging from mild or asymptomatic disease to long-term sequelae or death. When we established the Center for Viral Systems Biology (CViSB, cvisb.org) in 2018, we set a main goal of answering why. With a focus on Ebola, Lassa, and via a scope expansion, COVID-19, we have achieved this goal by identifying clinical, immunological, genetic, and virus molecular factors that determine the outcome of disease. In this renewal application, we will move beyond standard systems biology data generation and analysis and use a reverse translational approach to expand on our prior work with a focus on both fundamental research and translational application. Our central hypothesis remains that complex networks of viral and human factors, including distinct clinical, immunological, genetic, virological, and physiological attributes play key roles in determining the outcome and spread of Lassa, Ebola, and COVID-19. Our overall goal is to identify these molecular networks and provide a deep system-level understanding of the virus, host, and environmental drivers of disease severity and spread to discover predictive markers of human disease. We will successfully achieve this goal by applying ‘omics’ technologies, wearables, and high-throughput experimental approaches to unique patient, vaccinee, and survivor cohorts in West Africa and the United States. Built around two interconnected projects and four cores, we will complete the following major goals: (1) we will integrate complex systems immunology, host genetic, physiological, clinical, and metabolic datasets to perform predictive modeling and define biosignatures that desc

Key facts

NIH application ID
11289299
Project number
5U19AI135995-09
Recipient
SCRIPPS RESEARCH INSTITUTE, THE
Principal Investigator
Kristian Graugaard Andersen
Activity code
U19
Funding institute
AI
Fiscal year
2026
Award amount
$2,565,260
Award type
5
Project period
2018-02-01T00:00:00 → 2028-01-31T00:00:00