Clinical Eradication of Latent HIV Reservoirs: Where are we Now?

2021 ◽  
pp. 1-38
Author(s):  
Lilly M. Wong ◽  
Guochun Jiang
Keyword(s):  
Viruses ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 677 ◽  
Author(s):  
Xiaomei Kuang ◽  
Mark Brockman

Finding a cure for HIV is challenging because the virus is able to integrate itself into the host cell genome and establish a silent state, called latency, allowing it to evade antiviral drugs and the immune system. Various “shock and kill” strategies are being explored in attempts to eliminate latent HIV reservoirs. The goal of these approaches is to reactivate latent viruses (“shock”), thereby exposing them to clearance by viral cytopathic effects or immune-mediated responses (“kill”). To date, there has been limited clinical success using these methods. In this review, we highlight various functions of the HIV accessory protein Nef and discuss their double-edged effects that may contribute to the limited effectiveness of current “shock and kill” methods to eradicate latent HIV reservoirs in treated individuals.


2012 ◽  
Vol 4 (9) ◽  
pp. 705-710 ◽  
Author(s):  
Brian A. DeChristopher ◽  
Brian A. Loy ◽  
Matthew D. Marsden ◽  
Adam J. Schrier ◽  
Jerome A. Zack ◽  
...  
Keyword(s):  

JAMA ◽  
2017 ◽  
Vol 317 (17) ◽  
pp. 1715
Author(s):  
Tracy Hampton

2021 ◽  
Author(s):  
Michelle E. Wong ◽  
Chad J. Johnson ◽  
Anna C. Hearps ◽  
Anthony Jaworowski

Latent HIV reservoirs persist in people living with HIV despite effective antiretroviral therapy and contribute to rebound viremia upon treatment interruption. Macrophages are an important reservoir cell-type, but analysis of agents that modulate latency in macrophages is limited by lack of appropriate in vitro models. We therefore generated an experimental system to investigate this by purifying non-productively-infected human monocyte-derived macrophages (MDM) following in vitro infection with an M-tropic EGFP reporter HIV clone, and quantified activation of HIV transcription using live-cell fluorescence microscopy. The proportion of HIV-infected MDM was quantified by qPCR detection of HIV DNA, and GFP expression was validated as a marker of productive HIV infection by co-labelling of HIV Gag protein. HIV transcription spontaneously reactivated in latently-infected MDM at a rate of 0.22% ± 0.04 cells per day (mean ± SEM, n=10 independent donors), producing infectious virions able to infect heterologous T cells in coculture experiments, and both T cells and TZM-bl cells in a cell-free infection system using MDM culture supernatants. Polarization to an M1 phenotype with IFNγ + TNF resulted in a 2.3 fold decrease in initial HIV infection of MDM (p<0.001, n=8) and 1.4 fold decrease in spontaneous reactivation (p=0.025, n=6) whereas M2 polarization using IL-4 prior to infection led to a 1.6 fold decrease in HIV infectivity (p=0.028, n=8), but a 2.0 fold increase in the rate of HIV reactivation in latently-infected MDM (p=0.023, n=6). The latency reversing agents bryostatin and vorinostat, but not panobinostat, significantly induced HIV reactivation in latently infected MDM (p=0.031 and p=0.038, respectively, n=6). Importance: Agents which modulate latent HIV reservoirs in infected cells are of considerable interest to HIV cure strategies. The present study characterizes a robust, reproducible model enabling quantification of HIV reactivation in primary HIV-infected human MDM which is relatively insensitive to the monocyte donor source and hence suitable for evaluating latency modifiers in MDM. The rate of initial viral infection was greater than the rate of HIV reactivation, suggesting different mechanisms regulate these processes. HIV reactivation was sensitive to macrophage polarization, suggesting cellular and tissue environments influence HIV reactivation in different macrophage populations. Importantly, latently infected MDM showed different susceptibility to certain latency reversing agents known to be effective in T cells, indicating dedicated strategies may be required to target latently-infected macrophage populations in vivo .


2018 ◽  
Vol 128 (2) ◽  
pp. 876-889 ◽  
Author(s):  
Szu-Han Huang ◽  
Yanqin Ren ◽  
Allison S. Thomas ◽  
Dora Chan ◽  
Stefanie Mueller ◽  
...  

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