MECHANISTIC MODELING AND IN-VIVO VALIDATION OF ANALYTE PATHWAYS FOR PERIPHERAL BIOCHEMICAL MONITORING
Abstract
Peripheral biochemical monitoring involves continuous and wearable measurement of chemical analyte concentrations in non- or minimally-invasive sampled biofluids such as interstitial fluid, saliva, and sweat. The goal is often to correlate the measurements with health status such as early infection detection, toxin exposure, and physical and cognitive performance. There has been a tremendous investment in wearable technology to access and sense analytes in these biofluids. However, a severe knowledge gap remains between blood-based knowledge and wearable technology. This major knowledge gap exists due to underinvestment in understanding the physiology and biology of secretion of the fluids themselves. This is unfortunate, because in many cases, the biofluid itself presents bigger challenges than the wearable technology. We propose to directly address this knowledge gap for analyte partitioning by development of in-vivo validated mechanistic models of analyte partitioning from blood into interstitial fluid, saliva, and sweat. In order to address this significant knowledge gap, our specific aims are as follows: (1) Develop a complete and adaptive computational toolset that enables modeling of basic analyte partitioning mechanisms. (2) Apply this modeling toolset to the specific paracellular and transcellular pathways and ultrastructure for generation of interstitial fluid, saliva, and sweat. (3) Perform in-vivo validation using advanced temporal sample collection and assays to provide ground-truth that will then inform and validate a complete mechanistic model. Air Force outcome and impact, includes accelerating the development of physical and cognitive performance monitoring, and continuous monitoring for infection or toxin exposure. These are all areas where currently no continuous biochemical data is available. A major scientific outcome, is that both medical researchers and technologists will be better-informed on how the human body may ultimately impact technology design more than the rapid advance of technology itself.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2021
- Source ID
- FA95502010117
Entities
People
- Jason Heikenfeld
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Cincinnati