Modeling BK Virus Infection in Renal Transplant Recipients
Kidney transplant recipients require a lifelong protocol of immunosuppressive therapy to prevent graft rejection. However, these same medications leave them susceptible to opportunistic infections. One pathogen of particular concern is human polyomavirus 1, also known as BK virus (BKPyV). This virus...
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2024-12-01
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| Series: | Viruses |
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| Online Access: | https://www.mdpi.com/1999-4915/17/1/50 |
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| author | Nicholas Myers Dana Droz Bruce W. Rogers Hien Tran Kevin B. Flores Cliburn Chan Stuart J. Knechtle Annette M. Jackson Xunrong Luo Eileen T. Chambers Janice M. McCarthy |
| author_facet | Nicholas Myers Dana Droz Bruce W. Rogers Hien Tran Kevin B. Flores Cliburn Chan Stuart J. Knechtle Annette M. Jackson Xunrong Luo Eileen T. Chambers Janice M. McCarthy |
| author_sort | Nicholas Myers |
| collection | DOAJ |
| description | Kidney transplant recipients require a lifelong protocol of immunosuppressive therapy to prevent graft rejection. However, these same medications leave them susceptible to opportunistic infections. One pathogen of particular concern is human polyomavirus 1, also known as BK virus (BKPyV). This virus attacks kidney tubule epithelial cells and is a direct threat to the health of the graft. Current standard of care in BK virus-infected transplant recipients is reduction in immunosuppressant therapy, to allow the patient’s immune system to control the virus. This requires a delicate balance; immune suppression must be strong enough to prevent rejection, yet weak enough to allow viral clearance. We seek to model viral and immune dynamics with the ultimate goal of applying optimal control methods to this problem. In this paper, we begin with a previously published model and make simplifying assumptions that reduce the number of parameters from 20 to 14. We calibrate our model using newly available patient data and a detailed sensitivity analysis. Numerical results for multiple patients are given to show that the newer model reflects observed dynamics well. |
| format | Article |
| id | doaj-art-38902c6ed8cc468fa2328be85d0640b1 |
| institution | Kabale University |
| issn | 1999-4915 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Viruses |
| spelling | doaj-art-38902c6ed8cc468fa2328be85d0640b12025-01-24T13:52:23ZengMDPI AGViruses1999-49152024-12-011715010.3390/v17010050Modeling BK Virus Infection in Renal Transplant RecipientsNicholas Myers0Dana Droz1Bruce W. Rogers2Hien Tran3Kevin B. Flores4Cliburn Chan5Stuart J. Knechtle6Annette M. Jackson7Xunrong Luo8Eileen T. Chambers9Janice M. McCarthy10Center for Research in Scientific Computation, Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USACenter for Research in Scientific Computation, Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USADepartment of Surgery, Duke University, Durham, NC 27710, USACenter for Research in Scientific Computation, Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USACenter for Research in Scientific Computation, Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USADuke Center for Human Systems Immunology, Duke University, Durham, NC 27701, USADepartment of Surgery, Duke University, Durham, NC 27710, USADepartment of Surgery, Duke University, Durham, NC 27710, USADepartment of Medicine, Duke University, Durham, NC 27710, USADepartment of Surgery, Duke University, Durham, NC 27710, USADuke Center for Human Systems Immunology, Duke University, Durham, NC 27701, USAKidney transplant recipients require a lifelong protocol of immunosuppressive therapy to prevent graft rejection. However, these same medications leave them susceptible to opportunistic infections. One pathogen of particular concern is human polyomavirus 1, also known as BK virus (BKPyV). This virus attacks kidney tubule epithelial cells and is a direct threat to the health of the graft. Current standard of care in BK virus-infected transplant recipients is reduction in immunosuppressant therapy, to allow the patient’s immune system to control the virus. This requires a delicate balance; immune suppression must be strong enough to prevent rejection, yet weak enough to allow viral clearance. We seek to model viral and immune dynamics with the ultimate goal of applying optimal control methods to this problem. In this paper, we begin with a previously published model and make simplifying assumptions that reduce the number of parameters from 20 to 14. We calibrate our model using newly available patient data and a detailed sensitivity analysis. Numerical results for multiple patients are given to show that the newer model reflects observed dynamics well.https://www.mdpi.com/1999-4915/17/1/50kidneyrenaltransplantmodelingsensitivityBKPyV |
| spellingShingle | Nicholas Myers Dana Droz Bruce W. Rogers Hien Tran Kevin B. Flores Cliburn Chan Stuart J. Knechtle Annette M. Jackson Xunrong Luo Eileen T. Chambers Janice M. McCarthy Modeling BK Virus Infection in Renal Transplant Recipients Viruses kidney renal transplant modeling sensitivity BKPyV |
| title | Modeling BK Virus Infection in Renal Transplant Recipients |
| title_full | Modeling BK Virus Infection in Renal Transplant Recipients |
| title_fullStr | Modeling BK Virus Infection in Renal Transplant Recipients |
| title_full_unstemmed | Modeling BK Virus Infection in Renal Transplant Recipients |
| title_short | Modeling BK Virus Infection in Renal Transplant Recipients |
| title_sort | modeling bk virus infection in renal transplant recipients |
| topic | kidney renal transplant modeling sensitivity BKPyV |
| url | https://www.mdpi.com/1999-4915/17/1/50 |
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