Role of JAK Inhibitors in Controlling Inflammation and HIV Reactivation C Gavegnano1,2, F Dupuy3, J Brehm3, SJ Hurwitz 1,2, RP Sekaly3, and RF Schinazi1,2 1Center for AIDS Research, Laboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University, Atlanta, GA 30322, USA; 2Veterans Affairs Medical Center, Decatur, GA 30033, USA, and 3Case Western Reserve University, Department of Pathology, Cleveland OH, USA. 1 Background: 1. Current ART cannot eradicate HIV‐1. 1. Current ART cannot address inflammation driven obstacles to eradication, including elevated levels of IL‐6, sCD14/sCD163, IL‐1/, etc. Unmet clinical need = Safe, specific, targeted inhibition of HIV‐induced inflammation. Enter tofacitinib and ruxolitinib…. • FDA approved for rheumatoid arthritis • • FDA approved for chronic long‐term use for myelofibrosis. 43 ongoing clinical trials for inflammatory disorders. These data build upon a recent publication by our group: Gavegnano et al. Ruxolitinib and tofacitinib are potent and selective inhibitors of HIV‐1 replication and virus reactivation in vitro. Antimicrob Agents Chemother. 2014;58(4):1977‐86. 2 Jak inhibitors confer inhibition of multiple pro‐HIV cytokines Modified from: O’Shea and Laurence et al. Janus Kinase Inhibitors of Autoimmune Diseases. Ann Rheum Dis. 2013 April ; 72(0 2): ii111–ii115. doi:10.1136/annrheumdis‐2012‐202576. 3 Our studies were designed to answer the following questions: YES 1. Is there a correlation between elevated pSTATs in vivo and disease progression? 1. Do Jak inhibitors block viral replication in vitro and ex vivo? 1. Do Jak inhibitors block HIV‐induced upregulation of CCR5/CXCR4? 2. Do Jak inhibitors block HIV‐induced activation and proliferation? 1. Do Jak inhibitors block maintenance of the HIV reservoir (T cell)? 1. Do Jak inhibitors block bystander infection in T cells? 1. Are these events occurring at physiologically relevant concentrations? 4 In vivo, elevated pSTAT5, CD127, and CD25 correlate with establishment and/or maintenance of T cell reservoirs and plasma viral load Integrated HIV DNA 3000 2500 2000 1500 1000 500 0 0 1 2 3 4 5 11000 10000 9000 8000 7000 6000 5000 4000 3000 2000 1000 0 6 r=-0.3074 p=0.0114 0 1 5000 3 4 5 10000 IL-7R MFI in CD4+ cells r=0.3945 p=0.0170 4500 2500 2 2000 1500 1000 500 0 6 1 2 3 4 5 r=-0.3694 p=0.0021 0 6 r=-0.2693 p=0.1123 7500 5000 2500 0 1 2 3 4 5 6 2 3 4 5 6 65 60 55 50 45 40 35 30 25 20 15 10 5 0 r=-0.4193 p=0.0109 0 1 2 3 4 5 6 HIV DNA (log) per million CD4 HIV DNA (log) per million CD4 HIV DNA (log) per million CD4 1 HIV DNA (log) per million CD4 0 0 CD25 65 60 55 50 45 40 35 30 25 20 15 10 5 0 HIV DNA (log) per million CD4 D Viral load IL-7R MFI on CD4+ cells pSTAT5 MFI in CD4+ cells Aviremic donors HIV DNA (log) per million CD4 % CD25+ in CD4+ cells r=0.3136 p=0.0098 C CD127 % CD25+ in CD4+ cells 4500 B pSTAT5 IL-7R MFI in CD4+ cells pSTAT5 MFI in CD4+ cells Viremic donors A 11000 10000 9000 8000 7000 6000 5000 4000 3000 2000 1000 0 r=-0.3804 p=0.0290 0 1 2 5 3 4 Log VL 5 6 7 JAK inhibitors block viral replication and production in vitro and ex vivo In vitro acute infection Ex vivo, chronic infection 6 Ruxolitinib and Tofacitinib inhibit HIV‐induced CCR5 upregulation A B 7 Ruxolitinib and Tofacitinib inhibit HIV‐induced T‐cell activation and proliferation A B C D 8 JAK inhibitors block maintenance of HIV T cell reservoir Viremic, HIV‐infected donors CD4 T cells isolated from individuals integrated viral DNA quantified on day 5 post culture +/‐ tofacitinib or ruxolitinib maintained in cultures 9 Ruxolitinib Inhibits bystander infection in CD4+ T cells A B DMSO (M) Ruxolitinib (M) 10 Pharmacokinetic simulation for 10 mg and 20 mg bid dosing of ruxolitinib in humans: Anti‐HIV effects occur at physiologically relevant concentrations in vivo Data for models obtained from Shi, et al., J Clin Pharmacol 2012;52:809‐818. Models correct for plasma protein binding. 10 mg bid simulation 20 mg bid simulation Simulation of in vivo pharmacokinetics of 10 mg (A) or 20 mg (B) bid ruxolitinib demonstrates that all pro‐HIV events that were inhibited by ruxolitinib in vitro occur at or below concentrations within the steady state plasma concentrations observed in vivo for 10 mg bid (A), and 20 mg bid (B). Dotted lines denote IC50 at which ruxolitinib confers inhibition in vitro, and notations of A‐D denote: CD3 zeta and pSLP76, A; inhibition of Bcl‐2 activation, B; inhibition of maintenance and expansion of the T cell reservoir, and antiviral potency against chronic and acute infection, C; inhibition of proliferation/activation (CD25, CD38/HLADR, PD1), downregulation of CCR5, inhibition of pSTAT5 by IL‐2, IL‐7, IL‐15, inhibition of bystander infection, D. 11 Potential concerns for Jak inhibitors in vivo: Safety in HIV‐infected cohort 1. Jakafi is not contraindicated in HIV‐infected individuals (Jakafi package insert) 2. Will Jak inhibition confer increase in viral loads? 12 Non human primate study with Jakafi in chronically SIV infected monkeys Dose modeled to mimic 10 mg bid dose in humans, which will be used for the clinical study in humans PK sampling PK sampling 1, 2, 4, 8, 12 hr Week ‐1 0 1 1, 2, 4, 8, 12 hr 2 Collect 2.1 mg/kg oral Sample Jakafi For viral bid load Collect plasma to quantify Jakafi levels (PK) 3 4 5 6 7 8 Add HAART regimen Collect plasma to quantify Jakafi levels (PK) * To be conducted to ensure that addition of HAART does not modify Jakafi PK Withdraw all drugs Microarray or proteomics= up to three time points pending cytokine results above (up to three time points). 13 Jakafi treatment of chronically SIV‐infected non human primates does NOT increase viral loads 110 100 90 80 70 60 50 40 30 20 10 0 Jakafi + HAART No drugs RWl13 % of baseline viral load % of baseline viral load Reo‐8 Baseline 346,674 HIV‐1 RNA copies/ml Jakafi only 11 7 14 21 28 35 42 49 56 2 3 4 5 6 7 8 9 110 100 90 80 70 60 50 40 30 20 10 0 Days post drug treatment % of baseline viral load % of baseline viral load RHs‐13 Baseline 400,000 HIV‐1 RNA copies/ml 1 7 14 21 28 35 42 49 56 1 2 3 4 5 6 7 8 9 Days post drug treatment 1 7 14 21 28 35 42 49 56 1 2 3 4 5 6 7 8 9 Days post drug treatment RRn‐11 110 100 90 80 70 60 50 40 30 20 10 0 Baseline 108,171 HIV‐1 RNA copies/ml 110 100 90 80 70 60 50 40 30 20 10 0 Baseline 174,000 HIV‐1 RNA copies/ml 11 7 14 21 28 35 42 49 56 2 3 4 5 6 7 8 9 Days post drug treatment = 2.1 mg/kg Jakafi bid = 2.1 mg/kg Jakafi + HAART (Kaletra + (‐)‐FTC + PMPA + Raltegravir = No drugs 14 Study Design: A5336‐ A Randomized, Pilot Study of Ruxolitinib in Antiretroviral‐ Treated HIV‐Infected Adults • Randomized, open label study • Population: • • • HIV‐infected male and female subjects ≥ 18 years of age CD4+ T cell count > 350 cells/mm3 Stable ART containing either NNRTI or INSTI who have: • • • • Not pregnant; no active hepatitis B or C infection Sample size: 60 subjects • • Virologic suppression No other medical conditions, or concomitant medications, prohibiting the use of a JAK/STAT inhibitor 40 on ruxolitinib + ART (Arm 1); 20 on ART (Arm 2) Study duration: • • 5 weeks of intervention 7 weeks of follow-up • Intervention: ruxolitinib 10 mg bid • • Primary objectives: safety, IL-6 Secondary objectives: • • sCD14, tumor necrosis factor alpha (TNF‐α), IL‐1α, IL‐1‐β, IL‐18, macrophage colony stimulating factor (mCSF), neopterin, HLA‐DR, CD38, and both the distribution of monocyte subsets (defined by expression of CD14 and CD16) HIV‐1 2 LTR circles, integrated viral DNA, plasma viral RNA (single copy assay) 15 Conclusions • Jak inhibitors do not increase viral loads in chronically SIV infected non‐human primates. • Jak inhibitors inhibit multiple pro‐HIV, pro‐ inflammatory events in vitro and ex vivo that are associated with disease progression, HIV‐associated neurocognitive impairments, and mortality. • These data provide a mechanistic framework for an upcoming phase 2a funded NIH‐ACTG study with ruxolitinib in HIV‐infected individuals. 16 Acknowledgments • Emory University • Raymond F. Schinazi, PhD, DSc • Selwyn J. Hurwitz, PhD • Laboratory of Rafick Sekaly • Rafick Sekaly, PhD • Jessica Brehm, PhD • Franck Dupuy, PhD • Support • Emory University CFAR; CFAR - Young Investigator - NIH AIDS Clinical Trial Group - Vincent Marconi, MD - Steven Deeks, MD - Michael Lederman, MD - Others 17
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