It is becoming increasingly evident that the composition and metabolites produced by the human gut microbiome influence the progression of cardiovascular diseases. While we are continuing to discover important associations between the gut microbiome and human physiology and diseases, we lack the tools and methodology to precisely manipulate gut microbiota to benefit human health. We propose to develop computational models and optimization frameworks to predict community dynamics and functions and design interventions to shift the gut microbiome to desired states. We will design novel bacterial therapeutics that operate autonomously in the mammalian gastrointestinal tract to steer the microbiome towards healthy states. These next-generation bacterial therapeutics will sense important gut microbiome metabolites, process information, and deliver species- specific antimicrobial proteins to reshape the dynamics and functions of this ecosystem. The performance of these bacterial therapeutics will be characterized in vitro using synthetic human gut microbiome communities and in gnotobiotic mouse models of cardiovascular disease. Model-guided microbiome engineering has the potential to transform human medicine and is becoming increasingly important as scientists continue to discover connections between the microbiome and human health and disease.

Public Health Relevance

Recent studies have shown close connections between the human gut microbiome and cardiovascular diseases (CVDs), which are the leading cause of death worldwide. While engineering of the gut microbiome holds tremendous potential as a novel therapeutic strategy for CVD, we currently lack the tools and methodology required to design interventions that precisely shift the structure and function of the gut microbiome. The major goals of our project are to (1) develop computational modeling techniques to design perturbations that can steer the microbiome to desired states and (2) design next-generation bacterial therapeutics that sense major gut microbiome-produced metabolites and deliver selective antimicrobials to shift microbiome states to ameliorate CVD.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
1R01EB030340-01
Application #
10044931
Study Section
Modeling and Analysis of Biological Systems Study Section (MABS)
Program Officer
Rampulla, David
Project Start
2020-09-01
Project End
2024-05-31
Budget Start
2020-09-01
Budget End
2021-05-31
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Wisconsin Madison
Department
Biochemistry
Type
Earth Sciences/Resources
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715