| Autor: |
Walk JC; Concordia College, Department of Mathematics, Moorhead, 56562, USA. jwalk@cord.edu., Ayati BP; University of Iowa, Department of Mathematics, Iowa City, 52242, USA.; University of Iowa, Program in Applied Mathematical and Computational Sciences, Iowa City, 52242, USA.; University of Iowa, Department of Orthopaedics and Rehabilitation, Iowa City, 52242, USA., Holstein SA; University of Nebraska Medical Center, Division of Oncology & Hematology, Omaha, 68198, USA. |
| Abstrakt: |
Multiple myeloma (MM), a plasma cell cancer, is associated with many health challenges, including damage to the kidney by tubulointerstitial fibrosis. We develop a mathematical model which captures the qualitative behavior of the cell and protein populations involved. Specifically, we model the interaction between cells in the proximal tubule of the kidney, free light chains, renal fibroblasts, and myeloma cells. We analyze the model for steady-state solutions to find a mathematically and biologically relevant stable steady-state solution. This foundational model provides a representation of dynamics between key populations in tubulointerstitial fibrosis that demonstrates how these populations interact to affect patient prognosis in patients with MM and renal impairment. |
