The prospects for the facile biosynthesis of drugs coupled with the manipulation of the human microbiome is fraught with therapeutic possibilities. However, the same caveats that exist for the delivery of drugs via ingestion or injection apply to the microbial delivery of drugs. In particular, a therapeutic regime for administration must be established that is efficacious but not harmful. For years, one means of ensuring the longer-term delivery of drugs in specified amounts has been to develop particles, pills, or patches that maintain the controlled or sustained release of drugs into the system. We propose a new paradigm for controlled release, in which controlled release is driven by controlled biosynthesis, which in turn relies on an underlying, modular regulatory mechanism. We establish a separate ?engine? for the expression of therapeutic cargoes, relying on the highly orthogonal T7 RNA polymerase (T7 RNAP), and develop a variety of circuits that lead to regulated gene expression in different patterns of therapeutic relevance, such as homeostatic production of constant concentrations of a drug (Aim 1). We then apply this ?engine? to the production of the amino acid L-DOPA in a known probiotic strain, E. coli Nissle (Aim 2). And then finally the controlled production circuitry in the probiotic species is introduced into mouse models in order to determine how programmed regulatory circuitry can impact the pharmacokinetics and pharmacodynamics of a drug in an organism (Aim 3). The strains are ultimately tested in a chronic progressive degenerative MitoPark mouse model of Parkinson?s disease currently being used in our collaborator?s laboratory at Iowa State University (Aim 3.3).

Public Health Relevance

Synthetic biology can be used to produce drugs in microorganisms in a controlled way. The microorganisms can potentially be implanted in the gut, serving as regulated factories for treating disease. We are applying these concepts to developing bacteria that can produce the amino acid L-DOPA, which is a known treatment for Parkinson?s disease, and determining if the bacterial factories can provide benefit to a Parkinson?s mouse model.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
1R01EB026533-01A1
Application #
9739594
Study Section
Modeling and Analysis of Biological Systems Study Section (MABS)
Program Officer
Rampulla, David
Project Start
2019-05-04
Project End
2023-01-31
Budget Start
2019-05-04
Budget End
2020-01-31
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Texas Austin
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
170230239
City
Austin
State
TX
Country
United States
Zip Code
78759