In vivo gut microbiome sensors
Abstract/Contents
- Abstract
- The human large intestine harbors trillions of microbes that interact with one another and the host. In the last few decades, a perturbed gut microbial composition ("microbiome") has been linked with multiple disease processes ranging from autoimmune to neurodegenerative disorders. Different microbiomes produce different chemical environments in the intestine, but understanding how these chemical environments impact host physiology and health is one of the grand challenges of this nascent field. An emerging hypothesis is that disease-associated microbiomes share a common feature: a higher level of environmental oxidation. Unfortunately, testing this oxidation hypothesis directly is currently impossible, because no in vivo redox sensors exist for research animals (e.g. mice and rats). In this work, we propose sensors that measure oxidation-reduction potential (ORP) in the rodent gut. We first motivate the need for in vivo gut ORP data with high spatial and temporal resolution, through new ex vivo and in situ} measurements. We then present the design of wireless sensors that can collect such data and enable gut microbiome studies during dietary, microbial, and genetic manipulation. Sensor features including wireless power-up/wake-up through ultrasonic waves and data communication through galvanic coupling allow for sensor miniaturization, experiment flexibility, and measurement robustness. To demonstrate these features, we implant the sensors in rat ceca and perform the first 12-day in vivo gut ORP measurement. The presented gut microbiome sensing platform paves the way for experimental testing of biological hypotheses, offering new opportunities for understanding redox pathophysiology mechanisms, and facilitating translation to disease diagnosis and treatment applications.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Baltsavias, Spyridon Gerasimos |
|---|---|
| Degree supervisor | Arbabian, Amin |
| Thesis advisor | Arbabian, Amin |
| Thesis advisor | Khuri-Yakub, Butrus T, 1948- |
| Thesis advisor | Soh, H. Tom |
| Degree committee member | Khuri-Yakub, Butrus T, 1948- |
| Degree committee member | Soh, H. Tom |
| Associated with | Stanford University, Department of Electrical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Spyridon Baltsavias. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/dw070rz3676 |
Access conditions
- Copyright
- © 2021 by Spyridon Gerasimos Baltsavias
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...