Investigating Oscillation Loss in Computational Islets

dc.contributor.authorGearhart, Gemma
dc.contributor.authorJiang, Shuai
dc.contributor.authorMay, Thomas J.
dc.contributor.authorPan, Jane
dc.contributor.authorKhuvis, Samuel
dc.contributor.authorGobbert, Matthias K.
dc.contributor.authorPeercy, Bradford E.
dc.contributor.authorSherman, Arthur
dc.date.accessioned2018-10-01T13:54:27Z
dc.date.available2018-10-01T13:54:27Z
dc.date.issued2013
dc.description.abstractThe study of pancreatic β -cells comprises a crucial part of the study of the group of diseases known as diabetes. These cells exist in groups known as islets of Langerhans and are responsible for storing and producing insulin. They exhibit electrical bursting behavior during insulin production that correlates with the rate at which insulin is secreted into the bloodstream. Coupling is a natural process within islets that enables the cells to communicate with one another and transfer various ions and electrical currents; coupling of both voltage and metabolites can occur. We model multicellular islets using an existing system of seven ordinary differential equations to model beta cell function. We first treat metabolic coupling as independent and look for combinations of coupling strengths, initial conditions, and parameter values that lead to metabolic oscillation loss, which has been observed in previous studies using a two-cell model. We find examples of each of these three features that can cause β -cells to exhibit oscillation loss at particular values. Next, we simulate cells with mutated KATP channels that remain open indefinitely, which have been described in experimental studies but not yet modeled. Simulations run with these mutations reveal the existence of a bursting death threshold, described by the least percentage of cells in the islet that must be mutated for electrical bursts to completely disappear. We determine that this threshold is independent of coupling strengths, cell distribution, and possibly islet dimension; however, we also determined that this threshold is not independent of the glucose influx rate.en
dc.description.sponsorshipThese results were obtained as part of the REU Site: Interdisciplinary Program in High Performance Computing (www.umbc.edu/hpcreu) in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) in Summer 2013. This program is funded jointly by the National Science Foundation and the National Security Agency (NSF grant no. DMS–1156976), with additional support from UMBC, the Department of Mathematics and Statistics, the Center for Interdisciplinary Research and Consulting (CIRC), and the UMBC High Performance Computing Facility (HPCF). HPCF (www.umbc.edu/hpcf) is supported by the National Science Foundation through the MRI program (grant nos. CNS–0821258 and CNS–1228778) and the SCREMS program (grant no. DMS–0821311), with additional substantial support from UMBC. Co-author Jane Pan was supported, in part, by the UMBC National Security Agency (NSA) Scholars Program though a contract with the NSA. Graduate RA Samuel Khuvis was supported during Summer 2013 by UMBC.en
dc.description.urihttps://userpages.umbc.edu/~gobbert/papers/REU2013Team4.pdfen
dc.format.extent21 pagesen
dc.genretechnical reporten
dc.identifierdoi:10.13016/M2QN5ZF9C
dc.identifier.urihttp://hdl.handle.net/11603/11413
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofseriesHPCF Technical Report;HPCF-2013-14
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectpancreatic β-cells
dc.subjectdiabetes
dc.subjectislets of Langerhans
dc.subjectstoring and producing insulin
dc.subjectelectrical bursting behavior
dc.subjectCoupling
dc.subjectmodel multicellular islets
dc.subjectmutated KATP channels
dc.subjectbursting death threshold
dc.subjectUMBC High Performance Computing Facility (HPCF)
dc.titleInvestigating Oscillation Loss in Computational Isletsen
dc.typeTexten

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