Modeling brain lentiviral infections during antiretroviral therapy in AIDS
Abstract
Understanding HIV-1 replication and latency in different reservoirs is an ongoing challenge in the care of patients with HIV/AIDS. A mathematical model was created to describe and predict the viral dynamics of HIV-1 and SIV infection within the brain during effective combination antiretroviral therapy (cART). The mathematical model was formulated based on the biology of lentiviral infection of brain macrophages and used to describe the dynamics of transmission and progression of lentiviral infection in brain. Based on previous reports quantifying total viral DNA levels in brain from HIV-1 and SIV infections, estimates of integrated proviral DNA burden were made, which were used to calibrate the mathematical model predicting viral accrual in brain macrophages from primary infection. The annual rate at which susceptible brain macrophages become HIV-1 infected was estimated to be 2.90×10 -7 -4.87×10 -6 per year for cART-treated HIV/AIDS patients without comorbid neurological disorders. The transmission rate for SIV infection among untreated macaques was estimated to be 5.30×10 -6 -1.37×10 -5 per year. An improvement in cART effectiveness (1.6-48%) would suppress HIV-1 infection in patients without neurological disorders. Among patients with advanced disease, a substantial improvement in cART effectiveness (70%) would eradicate HIV-1 provirus from the brain within 3-32 (interquartile range 3-9) years in patients without neurological disorders, whereas 4-51 (interquartile range 4-…
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Most existing viral vector models are vector specific and typically require re-derivation or extensive re-parameterization when applied to other viral systems.
“Most existing models are vector specific and typically require re-derivation or extensive re-parameterization when applied to other viral systems.”
From Mechanistic model for HEK293 viral vector processes and its application in a digital shadow framework (2026) · cites this paper as [18]
Lentiviral systems have been investigated through dynamic studies quantifying vector secretion, production kinetics, and metabolic coupling in HEK293T producer lines, providing the basis for kinetic and process level modeling.
“Lentiviral systems have been investigated through dynamic studies quantifying vector secretion, production kinetics, and metabolic coupling in HEK293T producer lines, providing the basis for kinetic and process level modeling [18, 19].”
From Mechanistic model for HEK293 viral vector processes and its application in a digital shadow framework (2026) · cites this paper as [18]
Several mechanistic modeling efforts have characterized HEK293 based viral vector production, although most of them remain vector specific.
“Several mechanistic modeling efforts have characterized HEK293 based viral vector production, although most of them remain vector specific.”
From Mechanistic model for HEK293 viral vector processes and its application in a digital shadow framework (2026) · cites this paper as [18]
Cited by
Sorted by citations
Kuchemüller, K. B., Austerjost, J., Machleid, R., Roßkamp, A., Niemann, J., & McCready, C. (2026) · Bioprocess and Biosystems Engineering · doi:10.1007/s00449-026-03362-2
- Authors
- Roda, W. C., Li, M. Y., Akinwumi, M. S., Asahchop, E. L., Gelman, B. B., Witwer, K. W., & Power, C.
- Venue
- Journal of NeuroVirology
- Published
- 2017-05-16
- Volume
- 23
- Issue
- 4
- Pages
- 577-586
- ISSN
- 1355-0284
- 1538-2443
- Cited by
- 11
- References
- 0
- Language
- en
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