Scientists can create thousands of chemically distinct nanoparticles using a growing number of high throughput chemistries, but it is still difficult to test more than a few nanoparticles in vivo. The goal of this work is to substantially improve how lipid nanoparticles (LNPs) deliver nucleic acid therapies by performing a systematic high throughput in vivo LNP study. This goal will be achieved using cutting edge DNA barcoded nanoparticles; deliverer mediated by 300 different nanoparticles can be measured in a single mouse. 4,320 chemically distinct nanoparticles will be tested in vitro and in vivo, focusing on 2 fundamental questions. First, how does nanoparticle structure affect cell targeting in vivo? Nanoparticle chemical and physical traits affect delivery in vitro. However, the extent to which the same LNP traits influence delivery in animals (in vivo) is unclear. A recently developed bioinformatics pipeline will be used to (i) systematically analyze how LNP structure affects in in vivo delivery in macrophages, endothelial cells, and hepatocytes, both in vitro and in vivo. The same data will be used to (ii) quantify the precision with which in vitro drug delivery predicts in vivo drug delivery. Second, how do clinically relevant physiological changes affect delivery in vivo? LNPs are similar to lipoproteins, which are natural lipid-containing nanostructures. Lipoproteins are actively trafficked to endothelial cells, macrophages, and hepatocytes in vivo. Given that lipoprotein trafficking changes in patients with high cholesterol, taking statins, and patients with many other conditions, LNP transport may also change. The top 600 in vivo LNPs from the 4,320 LNP in vivo screen will be administered to genetic mouse models of aberrant lipid transport in order to (iii) investigate how genetic alterations in cholesterol trafficking affect in vivo delivery. This work will make 5 significant contributions to nanotechnology. First, the extent to which LNP chemical traits influence delivery directly in vivo will be tested; relationships between nanoparticle structure and delivery are studied in vitro. Second, the precision with which in vitro nanoparticle delivery predicts in vivo delivery will be quantified. This could increase the efficiency with which clinical nanoparticles are discovered. Third, the effect of clinically relevant physiological changes on LNP delivery will be examined. Nanoparticles can interact with cholesterol trafficking pathways; these interactions are likely to change with disease and can affect nanoparticle targeting / safety. Fourth, the feasibility of studying thousands of LNPs in vivo will be demonstrated. Fifth, open source protocols for nanoparticle barcoding will be established and disseminated. These results will provide crucial insight into the ways LNP chemical traits and specific genes alter LNP delivery, informing the design of LNPs that deliver nucleic acid cargos (e.g., siRNA, mRNA, CRISPR-Cas9) for numerous therapeutic applications.

Public Health Relevance

Nanoparticles are still difficult to design a priori, in large part it is far easier to make nanoparticles than it is to test them in vivo. Our goal is to substantially improve how lipid nanoparticles (LNPs) deliver nucleic acid therapies by performing a systematic high throughput in vivo LNP study; we will achieve this goal using DNA barcoded nanoparticles to (i) elucidate how 4,320 nanoparticles deliver barcodes in vivo, (ii) quantify the precision with which in vitro delivery predicts in vivo delivery, and (iii) study how clinically relevant perturbations in lipid trafficking alter LNP delivery in vivo. Our results will crucial insight into the ways (a) LNP chemical traits and (b) specific genes alter LNP delivery, and will inform the design of LNPs that deliver nucleic acid cargos (e.g., siRNA, Cas9 mRNA / sgRNA) for numerous applications.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM132985-02
Application #
10003362
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Garcia, Martha
Project Start
2019-09-01
Project End
2024-05-31
Budget Start
2020-06-01
Budget End
2021-05-31
Support Year
2
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Georgia Institute of Technology
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
097394084
City
Atlanta
State
GA
Country
United States
Zip Code
30332