Mathematical Modeling of Mycophenolate Mofetil (MMF): antiproliferative agent of target cells for HIV Cure Introduction Challenges of Antiretroviral Therapy for HIV Treatment Development of baseline Density-dependent HIV Active Infection Model 1. Should proliferation terms include a carrying capacity? 2. Should MMF affect proliferation, infectivity of virus towards susceptible cells, or both? 3. Should actively infected cells proliferate, and if so, at a rate equivalent to that of susceptible cells? Kulpa, D.A. et al. Journal of Virus Eradication (2015) • Antiretroviral therapy (ART) suppresses HIV replication • Daily challenges: Accessibility, affordability, and toleration • As of 2017, <60% of patients have daily ART access and <50% of patients achieve viral suppression. Antiproliferative Therapy for HIV Reservoir Depletion/Cure Model Simulation for Virus Dynamics Results 36 models to test hypotheses Figure 6: We simulate 70% antiinfective MMF with varying efficacies against proliferation during active infection. More effective proliferation inhibition yields sustained effects. Each model assumed different parameters were being fitted to the data based on the specific biology regarding the hypotheses. All non-fitting parameters were kept constant according to values found in literature and verified in experimentation. Figure 7: We simulate ART interruption at 100 weeks with or without MMF, assuming it has 50% proliferation inhibition5. On MMF, viral load set point, size of infected cell population, and percentage of actively infected cells generated by proliferation decrease. Model Testing: Data Fitting for mechanisms of HIV and MMF in absence of ART Transient Sustained Actively Infected Cells Producing Virus Virus Introduced Latently Infected Cells Not Producing Virus Antiproliferative Target Latent Cells Proliferation • Cure is challenged by the latent reservoir of infected memory CD4+ T cells, activating when ART is discontinued. • Previous research has shown continuous anti-proliferative therapies combined with ART can result in sufficient reservoir depletion for cure within 2-10 years compared to several decades on ART alone. Figure 1: Best data fitting from 2 publications testing MMF in late-stage AIDS patients, separating them into two groups: one in which the virus rebounded, and the other in which the virus had a sustained decrease after the administration of MMF. MMF affects HIV through target cells •Improved understanding of MMF mechanisms: – Anti-infective effect; Anti-proliferative effect results in a sustained decrease in viral load during untreated infection •Improved understanding of contribution of target cell proliferation: – Decreased viremia in Active infection, ART interruption – Infected cells generated by proliferation •As virus replicates, it draws activated cells in an “adding fuel to the fire” mechanism. Decreasing the size of this fuel through proliferation inhibits the positive feedback loop. Mycophenolate Mofetil (MMF) for trial testing Mycophenolate Mofetil (MMF) is an immunosuppressant drug that inhibits T lymphocyte proliferation by depleting nucleotide substrates; it currently has highly touted potential to deplete the latent reservoir. A wide variety of data on MMF is available, but its biological mechanisms and effects as an antiproliferative agent in the context of HIV are unknown. This knowledge is essential for the proposal of MMF as an agent for HIV Cure in clinical trials. Objectives Figure 2: Model rankings demonstrate MMF affects infectivity and not proliferation in transient data, versus proliferation in sustained data. • Identify the mechanism(s) by which MMF affects HIV dynamics • Identify contribution of target cell proliferation inhibition to viremia during active, untreated infection Methodology: Mathematical Modeling Figure 3: Observing the activity of susceptible cells, inhibition of proliferation prevented the rebound of susceptible cells following anti-infective effect; therefore, the virus had less cells to target and less “fuel” to rebound effectively. Model Testing: Sensitivity Analysis for mechanisms in MMF following ART interruption 1 • Develop Base Mathematical Model of HIV Active Infection • Create different models based on different hypotheses 2 • Test models against datasets by fitting and simulation to identify representative models 3 • Simulate best models for insight into antiproliferative effects Conclusions/Future Work Figure 4: Data was taken from Garcia et al., 2004, in which patients were separated into a treatment group and not treatment group. Treatment began 6 months into ART (out of 12 months total) and was continued once ART was stopped. Figure 5: Sensitivity Analysis performed on proliferation rates and MMF efficacy rates measuring change in rebound time and change in viral set point post-MMF administration. Spearman Coefficient indicates inhibition of proliferation of susceptible cells is correlated to desired characteristics, in contrast to infectivity. Clinical Trials with MMF and ART for Cure •Trials now must consider anti-infectivity effect and antiproliferative effect against susceptible cells •Next step is to use further simulation and fitting to estimate antiproliferative and anti-infective effects •Investigate these effects with ART through simulation or trials •Based on modeling, Schiffer group started a small trial to study MMF in humans •We can now better interpret trial results for future experiments and for optimal cure regimen References 1. Kulpa, D.A. et al. HIV persistence in the setting of antiretroviral therapy: when, where and how does HIV hide? Journal of Virus Eradication 1, 59-66 (2015). 2. UNAIDS. UNAIDS Data 2018. Geneva. Switzerland: World Health Organization (2014). 3. Siliciano, J. D. et al. Long-term follow-up studies confirm the stability of the latent reservoir for HIV-1 in resting CD4+ T cells. Nat Med 9, 727–728 (2003). 4. Reeves, D. B. et al. Anti-proliferative therapy for HIV cure: a compound interest approach. Nat Sci Reports 7, 4011 (2017). 5. Chapuis, A. G. et al. Effects of mycophenolic acid on human immunodeficiency virus infection in vitro and in vivo. Nature Medicine 6, 762–768 (2000). 6. Coull, J. J. et al. A pilot study of the use of Mycophenolate Mofetil as a Component of therapy for Multidrug-Resistant HIV-1 Infection. JAIDS 26, 423–434 (2001). 7. Margolis, D. M. et al. The addition of mycophenolate mofetil to antiretroviral therapy including abacavir is associated with depletion of intracellular deoxyguanosine triphosphate and a decrease in plasma HIV-1 RNA. JAIDS 31, 45-9 (2002). 8. Garcia, F. et al. Effect of mycophenolate mofetil on immune response and plasma and lymphatic tissue viral load during and after interruption of highly active antiretroviral therapy for patients with chronic HIV infection: a randomized pilot study. JAIDS 36, 823–830 (2004).