Literature DB >> 31868581

Down but not out.

Erin T Larragoite1, Adam M Spivak1.   

Abstract

A new study in monkeys suggests that treating HIV infection early with antiretroviral therapy reduces the number of latent viruses, but has little impact on viral reactivation when treatment stops.
© 2019, Larragoite and Spivak.

Entities:  

Keywords:  HIV; Monkeys; SIV; antiretroviral therapy; infectious disease; latent reservoir; microbiology; viral latency; virus

Mesh:

Substances:

Year:  2019        PMID: 31868581      PMCID: PMC6927739          DOI: 10.7554/eLife.53363

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


Related research article Pinkevych M, Fennessey CM, Cromer D, Reid C, Trubey CM, Lifson JD, Keele BF, Davenport MP. 2019. Predictors of SIV recrudescence following antiretroviral treatment interruption. eLife 8:e49022. doi: 10.7554/eLife.49022 When you imagine viruses hiding from your immune system, you may think of the herpes simplex virus, responsible for cold sores and genital herpes, or the varicella-zoster virus, which causes shingles. These viruses can persist for decades in a hibernation-like state known as latency and avoid detection by our immune system (Kennedy et al., 2015). Latent viruses can sometimes awaken and begin replicating once more, causing symptoms and spreading infection (Lieberman, 2016). The human immunodeficiency virus (HIV) is similarly a master escape artist. It forms a latent reservoir early in infection, allowing the virus to evade the immune system and to survive long-term. People living with HIV take daily medications known as combination antiretroviral therapy (or ART) to prevent the virus from replicating. However, ART is not a cure, as it does not target viruses that are already latent. These drugs are therefore given for the lifetime of an individual: stopping treatment, even for a few weeks, will allow the latent viruses to reactivate and rekindle active infection. People with HIV can expect to have long, healthy lives due to ART, but latent viruses will always be present in their body. Finding a cure for HIV requires being able to eliminate or control the latent viral reservoir. However, some key questions still need to be addressed to achieve this goal. How, when and where does HIV establish latency? What is the size of the latent reservoir, and the best way to measure it? What triggers latent viruses to reactivate? Now, in eLife, Miles Davenport, Brandon Keele and colleagues from the University of New South Wales and the Frederick National Laboratory for Cancer Research – including Mykola Pinkevych as first author – report when the latent reservoir is established in a non-human primate model of HIV and how much of the reservoir can be reactivated (Pinkevych et al., 2019). In this study, the team infected rhesus macaques with simian immunodeficiency virus (SIV), a precursor virus which is endemic in African monkeys and genetically similar to HIV (Williams and Burdo, 2009). At some point during the 20th century, SIV jumped from non-human primates into humans; this cross-species transmission event, coupled with rapid evolution, allowed the virus to efficiently spread in people and to create the ongoing HIV pandemic (Keele et al., 2006). Pinkevych et al. began by infecting rhesus macaques with an engineered SIV containing over 10,000 unique randomized sequences of DNA; once sequenced, these ‘barcodes’ allow individual viruses to be identified (Fennessey et al., 2017). The monkeys were then treated with antiretroviral therapy 4, 10, or 27 days after infection. These intervals simulate acute (4 days), early (10 days), or late intervention (27 days) with ART in humans. The drugs were given for approximately a year, and the virus was completely suppressed in all animals. The treatment was then stopped and the latent virus was allowed to reactivate. Using genetic sequencing and mathematical modeling, the team determined the size of the latent reservoir of SIV and how it would reactivate. In the monkeys, starting the treatment four days after infection did not block the formation of the latent reservoir, but did reduce its size by approximately 100-fold compared to later ART initiation. Similarly, people who begin ART within days of acquiring HIV have an extremely small reservoir compared to those who start treatment later (Luzuriaga et al., 2015; Henrich et al., 2017). Despite these large differences in overall reservoir size, once ART was stopped the latent viruses reactivated at similar rates in acute, early, and late-treated animals (Figure 1). Pinkevych et al. therefore conclude that the majority of viruses which have the potential to reactivate are establishing latency early after infection.
Figure 1.

The timing of antiretroviral therapy influences the size of the latent reservoir.

Without treatment, cells infected with actively replicating virus (productively infected cells; shown in green) create infectious viruses. A minority of infected cells contain viruses that can persist indefinitely as a latent reservoir (latently infected cells; shown in gray), and these viruses can potentially be reactivated at a later date. Treatment administered during the acute phase of infection (that is, within days or weeks of primary infection; yellow curve) results in a smaller latent reservoir than when treatment is initiated early (within six months of infection, light blue) or during chronic infection (more than 6 months since infection, violet). If treatment is stopped (dashed line), the virus reactivates from these reservoirs at similar levels to rekindle active infection and re-seed the latent reservoir.

The timing of antiretroviral therapy influences the size of the latent reservoir.

Without treatment, cells infected with actively replicating virus (productively infected cells; shown in green) create infectious viruses. A minority of infected cells contain viruses that can persist indefinitely as a latent reservoir (latently infected cells; shown in gray), and these viruses can potentially be reactivated at a later date. Treatment administered during the acute phase of infection (that is, within days or weeks of primary infection; yellow curve) results in a smaller latent reservoir than when treatment is initiated early (within six months of infection, light blue) or during chronic infection (more than 6 months since infection, violet). If treatment is stopped (dashed line), the virus reactivates from these reservoirs at similar levels to rekindle active infection and re-seed the latent reservoir. To explore why the timing of the treatment did not seem to influence the rate of reactivation, the team measured the level of genetic mutations in the latent viruses. If viruses accumulate more damaging mutations the longer they are actively replicating in the body, this would suggest animals receiving delayed ART could carry a larger proportion of latent viruses that are defective and cannot reawaken. However, the team found that the majority of viruses (more than 80%) were genetically intact across all animals, regardless of when treatment started. This is quite different to what happens with HIV infection in humans, where most of the latent viruses contain major genetic mutations and deletions, leaving just a small fraction (between 2% and 11%) that are capable of reactivation (Ho et al., 2013; Bruner et al., 2019). A recent study, which evaluated the dynamics of the HIV reservoir in people on stable ART, identified another discrepancy between this SIV model and HIV latency in humans. Despite ongoing ART, latent HIV can sometimes spontaneously reactivate and the viruses become detectable in the blood for a short while. In humans, these viral ‘blips’ are phylogenetically linked to a viral reservoir established not just at initial infection, but across years of untreated infection (Jones et al., 2018). The reasons underlying these differences are not well understood and represent important areas for ongoing research. Despite differences between non-human primate models and human HIV infection, the work by Pinkevych et al. confirms that viral latency is established extremely early after infection. These results indicate that antiretroviral therapy should be started as soon as possible to control HIV infection and reduce latent reservoir size. Much is still unknown about how HIV latency is established and maintained, especially under treatment; however SIV models will remain an important tool to understand how to eradicate the latent reservoir.
  11 in total

1.  Chimpanzee reservoirs of pandemic and nonpandemic HIV-1.

Authors:  Brandon F Keele; Fran Van Heuverswyn; Yingying Li; Elizabeth Bailes; Jun Takehisa; Mario L Santiago; Frederic Bibollet-Ruche; Yalu Chen; Louise V Wain; Florian Liegeois; Severin Loul; Eitel Mpoudi Ngole; Yanga Bienvenue; Eric Delaporte; John F Y Brookfield; Paul M Sharp; George M Shaw; Martine Peeters; Beatrice H Hahn
Journal:  Science       Date:  2006-05-25       Impact factor: 47.728

2.  Viremic relapse after HIV-1 remission in a perinatally infected child.

Authors:  Katherine Luzuriaga; Hannah Gay; Carrie Ziemniak; Keri B Sanborn; Mohan Somasundaran; Kaitlin Rainwater-Lovett; John W Mellors; Daniel Rosenbloom; Deborah Persaud
Journal:  N Engl J Med       Date:  2015-02-19       Impact factor: 91.245

Review 3.  A comparison of herpes simplex virus type 1 and varicella-zoster virus latency and reactivation.

Authors:  Peter G E Kennedy; Joel Rovnak; Hussain Badani; Randall J Cohrs
Journal:  J Gen Virol       Date:  2015-03-20       Impact factor: 3.891

Review 4.  HIV and SIV infection: the role of cellular restriction and immune responses in viral replication and pathogenesis.

Authors:  Kenneth C Williams; Tricia H Burdo
Journal:  APMIS       Date:  2009-05       Impact factor: 3.205

5.  Predictors of SIV recrudescence following antiretroviral treatment interruption.

Authors:  Mykola Pinkevych; Christine M Fennessey; Deborah Cromer; Carolyn Reid; Charles M Trubey; Jeffrey D Lifson; Brandon F Keele; Miles P Davenport
Journal:  Elife       Date:  2019-10-25       Impact factor: 8.140

6.  Genetically-barcoded SIV facilitates enumeration of rebound variants and estimation of reactivation rates in nonhuman primates following interruption of suppressive antiretroviral therapy.

Authors:  Christine M Fennessey; Mykola Pinkevych; Taina T Immonen; Arnold Reynaldi; Vanessa Venturi; Priyanka Nadella; Carolyn Reid; Laura Newman; Leslie Lipkey; Kelli Oswald; William J Bosche; Matthew T Trivett; Claes Ohlen; David E Ott; Jacob D Estes; Gregory Q Del Prete; Jeffrey D Lifson; Miles P Davenport; Brandon F Keele
Journal:  PLoS Pathog       Date:  2017-05-04       Impact factor: 6.823

7.  Replication-competent noninduced proviruses in the latent reservoir increase barrier to HIV-1 cure.

Authors:  Ya-Chi Ho; Liang Shan; Nina N Hosmane; Jeffrey Wang; Sarah B Laskey; Daniel I S Rosenbloom; Jun Lai; Joel N Blankson; Janet D Siliciano; Robert F Siliciano
Journal:  Cell       Date:  2013-10-24       Impact factor: 41.582

8.  HIV-1 persistence following extremely early initiation of antiretroviral therapy (ART) during acute HIV-1 infection: An observational study.

Authors:  Timothy J Henrich; Hiroyu Hatano; Oliver Bacon; Louise E Hogan; Rachel Rutishauser; Alison Hill; Mary F Kearney; Elizabeth M Anderson; Susan P Buchbinder; Stephanie E Cohen; Mohamed Abdel-Mohsen; Christopher W Pohlmeyer; Remi Fromentin; Rebecca Hoh; Albert Y Liu; Joseph M McCune; Jonathan Spindler; Kelly Metcalf-Pate; Kristen S Hobbs; Cassandra Thanh; Erica A Gibson; Daniel R Kuritzkes; Robert F Siliciano; Richard W Price; Douglas D Richman; Nicolas Chomont; Janet D Siliciano; John W Mellors; Steven A Yukl; Joel N Blankson; Teri Liegler; Steven G Deeks
Journal:  PLoS Med       Date:  2017-11-07       Impact factor: 11.069

9.  Phylogenetic approach to recover integration dates of latent HIV sequences within-host.

Authors:  Bradley R Jones; Natalie N Kinloch; Joshua Horacsek; Bruce Ganase; Marianne Harris; P Richard Harrigan; R Brad Jones; Mark A Brockman; Jeffrey B Joy; Art F Y Poon; Zabrina L Brumme
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-05       Impact factor: 11.205

10.  A quantitative approach for measuring the reservoir of latent HIV-1 proviruses.

Authors:  Katherine M Bruner; Zheng Wang; Francesco R Simonetti; Alexandra M Bender; Kyungyoon J Kwon; Srona Sengupta; Emily J Fray; Subul A Beg; Annukka A R Antar; Katharine M Jenike; Lynn N Bertagnolli; Adam A Capoferri; Joshua T Kufera; Andrew Timmons; Christopher Nobles; John Gregg; Nikolas Wada; Ya-Chi Ho; Hao Zhang; Joseph B Margolick; Joel N Blankson; Steven G Deeks; Frederic D Bushman; Janet D Siliciano; Gregory M Laird; Robert F Siliciano
Journal:  Nature       Date:  2019-01-30       Impact factor: 49.962

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