Optical platform for functional longitudinal imaging of metabolite uptake in vivo
Project Number5R01EB034607-03
Former Number1R01GM146132-01A1
Contact PI/Project LeaderGOUN, ELENA
Awardee OrganizationUNIVERSITY OF MISSOURI-COLUMBIA
Description
Abstract Text
PROJECT SUMMARY
Cancer cells undergo metabolic reprogramming in order to meet elevated energy requirements to fuel
proliferation, thus resulting in their differential utilization of many essential metabolites compared to normal cells.
Recent advancements in the field of cancer metabolic reprogramming demonstrated significant increase in
efficiency of standard cancer treatments when combined with cancer metabolic inhibitors. However, tumor
metabolic reprogramming remains poorly understood for the majority of cancers. Moreover, many recent reports
revealed evidence that the metabolism of cancer cells in vitro can differ significantly from that of in vivo because
in vitro models lack complexity of the tumor microenvironment. However, the progress of studying tumor
metabolism in vivo is significantly hampered by the lack of efficient tools that allow real-time noninvasive imaging
and quantification of metabolite absorption in animal models of cancer which closely reflect human pathologies.
Current strategies have significant limitations and mostly rely on MRI, nuclear imaging techniques such as
PET/SPECT, and endpoint ex vivo quantification of metabolite absorption (ex. MS). Here, we propose to develop
a novel optical imaging platform that has several important advantages over the existing methods, and allows
noninvasive evaluation of the uptake of several essential metabolites using highly sensitive and quantifiable
bioluminescent imaging. The method is independent of radioactive and/or short-lived isotopes, less costly, and
allows longitudinal monitoring of metabolite absorption during disease progression (e.g., cancer development or
clinical intervention such as chemotherapy). While the first application of this approach has been already
successfully validated by us using glucose as an example (Maric et.al., Nat Methods, 2019), we propose to
expand this technology to develop novel probes to study uptake of several amino acids, fatty acids, and
nucleosides that all play central role in cancer metabolic reprogramming. We will perform thorough validation of
this platform in cells, healthy transgenic mice and murine animal cancer models to assure that the reagents fulfill
the requirements for physiological behavior, stability, safety, and robust signal generation both in vitro and in
vivo. In addition, we will optimize in vivo delivery routes, vehicles, and concentrations to achieve high
signal/background ratios. In summary, the overall goal of this study is to generate a novel optical imaging platform
that would become a universal analytical tool for monitoring nutrient uptake in live cells and animal models of
disease. While we plan to apply this platform to unravel tumor metabolic reprogramming, the same method could
be adapted for studies of several other important human pathologies, in which changes in metabolism are known
to play a significant role, such as diabetes, neurodegenerative diseases, nonalcoholic steatohepatitis (NASH),
and many others. Therefore, this novel technology is expected to have a strong, enabling, and long-lasting impact
on many physiological and pathological investigations in the field of metabolism and will become a valuable tool
for drug discovery, applicable to oncology and other metabolic disorders.
Public Health Relevance Statement
PROJECT NARRATIVE
Cancer metabolic reprogramming plays an essential role in tumor development resulting in differential utilization
of many essential metabolites by cancer cells compared to normal cells and has been recently recognized as a
promising therapeutic target for the improved cancer treatments. However, cancer metabolic reprogramming is
poorly understood due to the lack of tools that can quantify nutrient uptake in relevant animal models of human
cancers. Here, we propose to develop a novel optical imaging platform that would become a universal analytical
method for monitoring nutrient uptake in tumors and would help to understand metabolic vulnerabilities of many
different cancers with the overall goal to generate novel, effective treatments.
National Institute of Biomedical Imaging and Bioengineering
CFDA Code
286
DUNS Number
153890272
UEI
SZPJL5ZRCLF4
Project Start Date
15-February-2023
Project End Date
31-January-2027
Budget Start Date
01-February-2025
Budget End Date
31-January-2026
Project Funding Information for 2025
Total Funding
$307,760
Direct Costs
$202,500
Indirect Costs
$105,260
Year
Funding IC
FY Total Cost by IC
2025
National Institute of Biomedical Imaging and Bioengineering
$307,760
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5R01EB034607-03
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 5R01EB034607-03
Patents
No Patents information available for 5R01EB034607-03
Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 5R01EB034607-03
Clinical Studies
No Clinical Studies information available for 5R01EB034607-03
News and More
Related News Releases
No news release information available for 5R01EB034607-03
History
No Historical information available for 5R01EB034607-03
Similar Projects
No Similar Projects information available for 5R01EB034607-03