Understanding the Glomerular Mesangium through computational modeling
Hunt, Sarah
2017-06
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Understanding the Glomerular Mesangium through computational modeling
Alternative title
Authors
Published Date
2017-06
Publisher
Type
Thesis or Dissertation
Abstract
The mesangium plays a prominent role in maintaining glomerular homeostasis by contributing to hemodynamic regulation, macromolecule clearance, and immune monitoring. However, it is also intimately involved in the development of glomerular disease. In this work we examine the physics of transport in the mesangial region by creating a computational model. This model suggests that physiological parameters play a key role in controlling the distribution of macromolecules within the mesangium. In particular, it suggests that aberrant glycosylation of IgA in IgA nephropathy may be damaging because of how it changes the Péclet number. The model is then extended to describe transport within the glomerular tuft through the mesangial matrix. Again, we examine this transport under a range of physiological parameters. Our results suggest that transport within the mesangium may operate as one of two broad regimes – an “accumulating” regime where the mesangium provides additional filtration surface area and large macromolecules may accumulate in the region, and a “shunting” regime where the mesangium allows solutes to bypass the full length of glomerular capillary filtration.
Description
University of Minnesota Ph.D. dissertation. June 2017. Major: Biomedical Engineering. Advisor: Victor Barocas. 1 computer file (PDF); viii, 67 pages.
Related to
Replaces
License
Collections
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Hunt, Sarah. (2017). Understanding the Glomerular Mesangium through computational modeling. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/190556.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.