Next Article in Journal
Molecular Mechanisms Governing “Hair-Trigger” Induction of Shiga Toxin-Encoding Prophages
Next Article in Special Issue
An Immunodominant Region of the Envelope Glycoprotein of Small Ruminant Lentiviruses May Function as Decoy Antigen
Previous Article in Journal
Mutation of CD2AP and SH3KBP1 Binding Motif in Alphavirus nsP3 Hypervariable Domain Results in Attenuated Virus
Previous Article in Special Issue
Prior Puma Lentivirus Infection Modifies Early Immune Responses and Attenuates Feline Immunodeficiency Virus Infection in Cats
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Epigenetic Modulation of CD8+ T Cell Function in Lentivirus Infections: A Review

1
Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, 1060 William Moore Drive, Raleigh, NC 27607, USA
2
Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
*
Author to whom correspondence should be addressed.
Viruses 2018, 10(5), 227; https://doi.org/10.3390/v10050227
Submission received: 22 March 2018 / Revised: 23 April 2018 / Accepted: 24 April 2018 / Published: 28 April 2018
(This article belongs to the Special Issue Nonprimate Lentivirus)

Abstract

:
CD8+ T cells are critical for controlling viremia during human immunodeficiency virus (HIV) infection. These cells produce cytolytic factors and antiviral cytokines that eliminate virally- infected cells. During the chronic phase of HIV infection, CD8+ T cells progressively lose their proliferative capacity and antiviral functions. These dysfunctional cells are unable to clear the productively infected and reactivated cells, representing a roadblock in HIV cure. Therefore, mechanisms to understand CD8+ T cell dysfunction and strategies to boost CD8+ T cell function need to be investigated. Using the feline immunodeficiency virus (FIV) model for lentiviral persistence, we have demonstrated that CD8+ T cells exhibit epigenetic changes such as DNA demethylation during the course of infection as compared to uninfected cats. We have also demonstrated that lentivirus-activated CD4+CD25+ T regulatory cells induce forkhead box P3 (Foxp3) expression in virus-specific CD8+ T cell targets, which binds the interleukin (IL)-2, tumor necrosis factor (TNF)-α, and interferon (IFN)-γ promoters in these CD8+ T cells. Finally, we have reported that epigenetic modulation reduces Foxp3 binding to these promoter regions. This review compares and contrasts our current understanding of CD8+ T cell epigenetics and mechanisms of lymphocyte suppression during the course of lentiviral infection for two animal models, FIV and simian immunodeficiency virus (SIV).

1. Introduction

CD8+ T lymphocytes (CTLs) play a critical role in the control of human immunodeficiency virus (HIV) infection [1,2]. The HIV-specific CD8+ T cell response peaks just after peak viremia during the acute phase of infection, and then reaches a lower level steady state in the chronic phase of infection [3]. Efficient control of HIV replication by HIV-specific CD8+ T cells is attributed to both the cytotoxic function and the polyfunctional cytokine response [4]. Despite the robust antiviral cytolytic CTL response in the acute phase, lentiviruses are able to escape immune recognition and persist in the host. Long-term viral persistence results in continued immune activation, and this in turn impairs the CD8+ T cell response. CD8+ T cells become progressively dysfunctional as the lentivirus infection proceeds. Dysfunctional CD8+ T cells exhibit reduced proliferative capacity and defective effector function, including decreased production of the antiviral cytokines interleukin (IL)-2, interferon (IFN)-γ and tumor necrosis factor (TNF)-α [5,6]. Figure 1 summarizes the CD8+ T cell response during HIV infection.
The introduction of combination antiretroviral therapy (cART) has transformed HIV/acquired immune deficiency syndrome (AIDS) from a fatal disease to a chronic disease with almost normal life expectancy. The new challenge in our fight against the HIV/AIDS epidemic is now finding a cure. The biggest obstacle in cure research is developing an effective strategy that can reactivate latently infected cells and at the same time eliminate the purged virus and virally infected cells [7,8,9]. CD8+ T cells are vital in the process of eliminating infected cells [10,11,12]. However, chronically activated CD8+ T cells that are functionally impaired are unable to clear the infection [13,14]. Therefore, there is a critical need to identify novel methods to boost and restore CD8+ T cell function.
To achieve this goal, we need to understand the molecular mechanisms leading to CD8+ T cell dysfunction. Exhausted CD8+ T cells can be phenotypically characterized by the expression of inhibitory molecules, such as programmed cell death (PD)-1, cytotoxic T lymphocyte-associated molecule (CTLA)-4, lymphocyte activation gene (LAG)-3, T-cell immunoglobulin and mucin-domain containing (TIM)-3, and T-cell immunoreceptor with IgG and ITIM domains (TIGIT), that interfere with effective T cell activation [15,16]. In HIV infection and the rhesus macaque model of simian immunodeficiency virus (SIV) infection, checkpoint inhibitors targeting these molecules can partially restore CD8+ T cell function [17,18,19]. These studies provide proof-of-concept for the feasibility of developing effective immune strategies to enhance CD8+ T cell function in vivo.
In this review, we will discuss additional mechanisms that may be exploited to enhance CD8+ T cell function. Specifically, we will focus on the role of regulatory CD4+ T cells (Treg cells) and epigenetic modifications in the regulation of CD8+ T cell function. Figure 2A illustrates some of the main mechanisms leading to the generation of dysfunctional CD8+ T cells.

2. Animal Models of HIV Infection to Study CD8+ T Cell Dysfunction

Animal models provide a useful tool to study HIV infection, its pathogenesis and cure strategies. The three most commonly used animal models in HIV research are the humanized mouse model, the FIV model, and the SIV model in non-human primates (NHP). Humanized mice represent a relatively simple, rapid and small-sized animal model used in HIV research. These mice are immunocompromised animals that are reconstituted, in part, with human immune cells. Humanized mice, specifically severe combined immunodeficient (SCID)-hu mice have been instrumental to documenting the existence of viral latency and understanding latently infected cells [20,21]. Initial investigations using latency reversing agents (LRAs) demonstrating the activation of HIV-1 and one of the earliest “shock and kill” experiments was shown in SCID-hu mice [21]. The humanized-mouse model and its utilization in HIV research have been reviewed in Policicchio et al. [22]. In this review, we will be discussing the FIV and SIV models of HIV infection.
The FIV infection model represents the only animal model of a naturally occurring immunodeficiency infection caused by a lentivirus. This outbred model is representative of HIV disease progression in humans [23,24,25]. FIV, akin to HIV, is transmitted by blood transfer, mucosal contact and vertically via prenatal and postnatal routes [26,27]. During FIV infection, there is a short acute phase lasting 4–8 weeks, followed by a protracted asymptomatic phase of chronic infection spanning several months to years. The type of infecting FIV strain and the genotype of the cat significantly influence the rate of disease progression. Infection eventually leads to the development of immunodeficiency symptoms consistent with the disease progression in HIV-infected patients (reviewed in Elder et al. [24]). FIV-infected cats exhibit high viremia during the acute phase, and, as the disease progresses, the drop in CD4+ T cells causes a sharp increase in viral RNA levels ultimately leading to immune dysfunction [24]. The compromised immune system increases the risk of muscle wasting, opportunistic infections and neoplasia in cats, analogous to humans [28]. This phase is defined as feline acquired immunodeficiency syndrome (FAIDS) [23]. Certain strains of FIV are neurovirulent and have degenerative effects on the central nervous system similar to the neurological impairment seen during HIV-1 infection [29,30,31]. A commercially available prophylactic vaccine against FIV (Fel-O-Vax FIV by Boehringer Ingelheim) was released in the U.S. in 2002 and informed the identification of conserved vaccine epitopes for HIV vaccine development [32]. The FIV model has been extensively used for the development and efficacy studies of antiretroviral drugs for HIV treatment. Early studies determining the in vivo efficacy of acyclic nucleoside phosphonate analogues in the FIV model were instrumental in the development of tenofovir—one of the most commonly used drugs in the ART regime [33,34]. FIV is sensitive to nucleoside-analogue reverse-transcriptase inhibitors (NRTIs) and HIV-1 integrase inhibitors, enabling efficacy studies of these classes of drugs [35,36,37,38,39]. Transgenic cats, genetically engineered to express HIV-specific restriction factors such as TRIMCyp, a fusion protein derived from the tripartite motif-encoding protein (TRIM)-5 gene have improved the translational relevance of the FIV model to study HIV infection and pathogenesis [40]. FIV has also been studied as a model for lentivirus latency (reviewed in McDonnel et al. [25]). The FIV promoter in latent in vivo CD4+ T cells exhibits de-acetylated histones suggesting a repressive transcriptional state consistent with the findings in highly active antiretroviral therapy (HAART) treated HIV patients [41,42]. Therefore, the FIV model was applied to study the effects of the LRA suberoylanilide hydroxamic acid (SAHA) in reactivating latent viral reservoirs [43]. In summary, the FIV model has enabled the testing of multiple treatment and lentivirus control strategies that are not feasible to perform in HIV-infected patients.
This model has, however, some limitations. There are differences between the FIV and HIV-1 viral genome. FIV lacks the viral protein R (vpr), viral protein U (vpu) and negative regulatory factor (nef) equivalent genes, and does not encode the transactivator of transcription (Tat) protein or the sequence for the transactivation response element (Tar) that are present in the HIV-1 genome. Instead, FIV expresses OrfA, an accessory protein with multiple functions enabling enhanced viral transcription, viral particle formation, viral release from infected cells and viral infectivity, which is not encoded by the HIV genome [24,44]. FIV OrfA localizes to the nucleus and its transient expression induces G2 cell cycle arrest suggesting its similarity with HIV Vpr protein [45].
FIV uses CD134 as the main binding receptor instead of CD4, enabling the virus to infect B cells and CD8+ T cells along with CD4+ T cells and macrophages, whereas CD4+ T cells and macrophages serve as the main target cells in HIV infection [46,47]. Due to the difference in FIV and HIV targets, the reservoir dynamics differ between the two infections (reviewed in Policicchio et al. [22]). However, in a recent study CD4+ and CD21+ leukocytes were identified as cellular reservoirs for FIV replication which is similar to the subsets identified in HIV infection wherein CD4+ T cells serve as cellular reservoirs and CD21+ B cells serve as extracellular HIV reservoirs [48,49]. The same study identified FIV reservoirs in tissues such as the spleen, the intestine and mesenteric lymph node with B cell follicles as the foci of viral replication in chronically infected cats exhibiting viral latency [50]. This demonstrates that the FIV model offers the advantage of performing longitudinal infection studies which can be beneficial in understanding tissue viral reservoir dynamics [50]. Despite the great promise in expanding our understanding of HIV infection and treatment by utilizing this feline model, more translationally relevant models are needed to more accurately reflect HIV pathogenesis.
The most widely used in vivo animal model for HIV is the NHP model of SIV infection. Non-human primates and humans share several important aspects of genomic structure, physiology, and complexity of the immune system [51]. These shared features enable the widespread use of the NHP SIV model to study HIV pathogenesis, prevention, treatment and cure strategies. There is a wide range of NHP models that are used for HIV studies, each with its respective limitations. African Green monkeys and apes are the natural hosts for SIV, but generally the infection does not manifest into a disease-state. Asian macaques, which are not natural hosts for SIV, can be infected with certain strains of SIV leading to high viremia, CD4+ T cell depletion and an immunocompromised state characterized by tumors and opportunistic infections. The main features of SIV infection in natural and non-natural hosts have been contrasted and reviewed in Chahroudi et al. and Evans et al. [52,53]. Rhesus macaques of Indian origin and pig-tailed macaques are the most commonly used NHP model for AIDS research [53]. All modes of HIV transmission can be recapitulated in these NHP models. Many antiretroviral (ARV) drugs, such as tenofovir, zidovudine, nevirapine and emtricitabine, which are now used to treat HIV-infected patients, were first tested for efficacy in the macaque models [54,55,56]. Due to the similarities in metabolism and physiology, macaque models have been invaluable in toxicity and dose testing studies of ART drugs. These drugs have informed pre-exposure prophylaxis and post-exposure prophylaxis treatment regimes in humans. Macaque studies also established that early treatment with ART reduces HIV-viremia, delays disease progression, enhances antiviral responses and lowers the risk of transmission [3,55]. Analogous to ARV testing in the NHP model, NHP models have been instrumental in the testing of first-generation (mostly surfactants and poly anionic compounds) and second-generation (antiretrovirals) microbicides that confer local mucosal antiviral protection against HIV infection (reviewed by Van Rompay [54]). The high translational impact of NHP research is best represented by the success of the CAPRISA trial in which one percent tenofovir gel demonstrated partial efficacy in protecting women against HIV infection [57].
The NHP model has been widely used to test HIV vaccine strategies. In fact, the outcomes of the three major phase III HIV vaccine trials, i.e., Vax003, Vax004 and RV144 trials, were predictable by prior NHP studies [58,59,60]. A new HIV phase 2b vaccine trial was launched in November of 2017 that will test an adenovirus 26 vector (Ad26) expressing four mosaic HIV proteins (Ad26.Mos4HIV) in combination with clade C gp140 protein boosting. This vaccine had shown protective efficacy against simian–human immunodeficiency virus (SHIV) infection in adult rhesus macaques [61].
In recent years, NHP models have been extensively used to study the formation and maintenance of the viral reservoir, and to evaluate cure strategies. SIV integrates into the host genome at preferred integration sites [62,63]. Similar to HIV, SIV undergoes histone de-acetylation in long terminal repeats (LTRs) and these changes contribute to latency [64,65]. CTLs are unable to clear latently SIV-infected cells [66]. As the distribution patterns of HIV and SIV DNA and RNA in peripheral blood, lymph nodes and mucosal tissues are also very similar, NHP models likely accurately reflect reservoir dynamics of HIV-infected humans [67,68,69]. A potential limitation of the SIV infection model is the use and efficacy of specific ARVs in this model. However, with the development of novel chimeric SHIVs such as reverse transcriptase-SHIV (RT-SHIV) and SHIV clones with HIV-1 Env proteins, clinically relevant NHP models can be established [70,71,72]. However, the NHP model, despite its widespread application in HIV cure research, remains greatly unexplored for epigenetic studies defining lentivirus infections.

3. CD8+ T Cell Suppression by CD4+CD25+ T Regulatory Cells

Treg cells are immunomodulatory cells that control exaggerated immune activation upon infection, thereby mitigating the extent of tissue damage. These cells express high levels of the repressive transcription factor Foxp3, express the high affinity IL-2 receptor CD25 and low levels of the IL-7 receptor (CD127) [73,74,75,76]. Two types of Treg cells have been described. Natural Treg cells (nTreg) are derived from the differentiation of CD4+CD8+ precursors into Foxp3+ CD4+CD25+ T cells in the thymus. Whereas CD4+ T cells that are induced and mature into Foxp3+CD4+CD25+ T cells in the periphery are called induced Treg cells (iTreg) [77,78,79]. iTreg cells are comparable to thymus-derived nTreg cells in suppressor function and express similar transcription factors and surface markers [78,80,81]. Foxp3+ Treg cells can also be induced in vitro by T-cell receptor (TCR)-mediated activation of naïve CD4+CD25 T cells in the presence of TGF-β and IL-2 [82,83]. They regulate the immune response by inhibiting T cell proliferation by competing for the growth factor IL-2, by CTLA-4 binding to dendritic cells (DCs), through the secretion of inhibitory cytokines such as IL-10 and TGF-β, and utilizing cytolytic molecules such as granzyme B and perforin [84]. While Treg cells play a critical role in maintaining self-tolerance, they also suppress antigen-specific immune responses that enable the pathogen to persist [85,86].
In HIV infection, Treg cells can have positive or detrimental effects depending on the stage of disease, viral load, tissue and cell type. Upon infection, Foxp3 has been reported to inhibit HIV transcription through inhibition of nuclear factor of activated T-cells (NFAT) and nuclear factor (NF)-κB activation in vitro [87], whereas other studies suggest that Foxp3 enhances HIV gene expression via the NF–κB signaling pathway [88]. Chronic HIV infection leads to an expansion of Treg cells in peripheral blood and lymphoid tissues; preferentially in regions with active HIV replication, such as lymphoid and mucosal tissues [89,90]. This expansion has been attributed to multiple reasons, including persistent immune activation, increased survival of Treg cells, and increased generation of CD4+CD25+ Foxp3+ Treg cells in the thymus of HIV-infected patients [91]. An increased frequency of Treg cells correlates with lower CD8+ T cell activation in HIV-1 infection [17]. An early induction of Foxp3+Treg cells in the blood and an early accumulation of Treg cells in mucosal tissues and peripheral lymph nodes is demonstrated in the nonpathogenic model of African green monkeys and pathogenic model of rhesus macaques when infected with SIV respectively [92,93]. There is a rapid depletion of Treg cells in the pathogenic model of pigtailed macaques infected with SIV [94,95]. In the FIV model, Treg cells are phenotypically and functionally activated during the acute phase and remain activated through the chronic phase of infection [96]. These combined findings indicate that Treg frequency, longevity and accumulation dynamics are influenced by multiple factors.
Treg cells are susceptible to HIV infection because they also express the HIV co-receptors C-C motif chemokine receptor 5 (CCR5) and C-X-C chemokine receptor 4 (CXCR4). Indeed, both human and animal studies demonstrate that Treg cells support HIV-1, FIV and SIV replication in vitro and in vivo [97,98,99]. A very low percentage of peripheral Treg cells are infected by HIV-1 in vivo (<0.7% peripheral Treg cells) [100]. SIV infected Foxp3+ T cells are found in multiple tissues, including mucosal tissues such as gut-associated lymphoid tissue [92,97,101]. FIV+ cats harbor productively infected Treg cells that are phenotypically and functionally activated [102]. Treg cells in HIV-infected humanized mice also support high levels of HIV-1 which are depleted upon infection with HIV-1 [103].
This review will focus on the interaction of Treg cells with CD8+ T cells during lentivirus infections and the resulting suppression of antiviral CD8+ T cell function. There are conflicting reports on the role and the functional capacity of Treg cells in HIV infection [104]. For example, Treg cells in HIV-1 infected patients support HIV infection which results in the downregulation of Foxp3 and impairment of their suppressive capacity when assessing individual cells [105,106]. In contrast to these studies, in vitro and other in vivo studies suggest that bulk Treg cells retain, or in some cases enhance their immunosuppressive function during the course of HIV-1 and FIV infection [88,100,102,106,107].
Treg cells isolated from HIV-infected patients suppress cytolytic function of HIV-specific CD8+ T cells [90]. Similarly, increased Treg frequencies during acute SIV infection correlate with suppressed SIV-specific CD8+ T cell responses [97]. The effector T cells also enhance their sensitivity towards Treg-mediated suppression in HIV-1 infected patients [108]. Enhanced HIV/SIV/FIV-specific T cell responses upon ex vivo depletion of Treg cells from peripheral blood mononuclear cells (PBMCs) or lymphoid cell suspensions support the immunosuppressive role of Treg cells [109,110]. CD8+ T cells from HIV-infected patients with the protective major histocompatibility complex (MHC) human leukocyte antigen (HLA) B*27 and HLA B*57 alleles evade Treg suppression, further suggesting that the mechanism of Treg suppression of CD8+ T cell functions is important for disease progression [111]. Nikolova et al. recently reported that Treg cells signal via PD-1/PD-L1 pathway to suppress HIV-specific CD8+ T cells contributing to CD8+ T cell dysfunction during the chronic infection phase [112]. Our group has previously reported that, in the FIV model, lentivirus activated CD4+CD25+ Treg cells signal via membrane bound TGF-β/Smad signaling to induce Foxp3 in CD8+ T cell targets [113,114]. We have also demonstrated that Foxp3 mediates antiviral cytokine suppression by directly binding to IL-2, TNF-α and IFN-γ promoter region in the acute and chronic phase of FIV infection [107,115,116]. Figure 2B summarizes our findings demonstrating Treg-mediated CD8+ T cell suppression in the FIV model. Based on our findings, this review will focus on the immunosuppressive function of Treg cells, but we acknowledge that Treg cells can also have beneficial effects on HIV infection and control, as reported by other investigators (reviewed in Moreno et al. [110]).

4. Epigenetic Mechanisms Regulating Gene Transcription: A General Overview

Epigenetic modifications are alterations in DNA and nucleosomes that occur in response to changes in the cellular environment. These changes are independent of changes in the primary DNA sequence and are reversible. Epigenetic modifications provide a second layer of transcriptional control by altering chromatin accessibility for the transcriptional machinery to bind and enable gene expression. Following cellular activation, the epigenetic patterns within the gene and its regulatory regions change to enable transcription factors to bind and initiate transcription of required genes.
There are different types of epigenetic modifications, and we will briefly review them here. Histone modifications and changes in DNA methylation are two of the better understood epigenetic mechanisms that regulate gene transcription. Table 1 summarizes the most well characterized histone modifications and their effects upon gene expression.
DNA wraps around histones forming the main structural unit of nucleosomes. The N-terminus of the histone is susceptible to a variety of post-translational modifications such as acetylation, methylation, phosphorylation, ubiquitination and sumoylation that alter the affinity of nucleosome for DNA [117]. Histone methyltransferases (HMTs) and demethylases work to modify the methylation status of histone tails, thereby promoting an active or repressive chromatin conformation. The extent of histone lysine and serine methylation determines the activation or repression of specific genes (see Table 1). Acetylation of histone lysine residues is generally associated with a non-repressed state. Histone acetyltransferases (HATs) and histone deacetylases (HDACs) mediate histone acetylation and deacetylation respectively, changing the affinity of the nucleosome for DNA.
Promoters of “active” genes have acetylated histones and possess other activating histone marks such as H3K4me3 (histone H3 trimethylated on lysine 4) [123] (Table 1). Silencing of genes is a complex process which involves a wide range of proteins. Methyl-cytosine binding proteins (MBP) recruit deacetylases resulting in de-acetylated histones: H3 and H4. Other repressive modifications such as H3K9me3 (histone H3 trimethylated on lysine 9) and H3K27me3 (histone H3 trimethylated on lysine 27) are also found in silenced genes/promoters (Table 1) [124].
In addition to histones, direct methylation of DNA represents another epigenetic program that can regulate chromatin accessibility and hence gene transcription. In mammals, DNA methylation occurs at the C5-position[5-mc) of cytosine residues in the context of CpG dinucleotides where a guanine follows a cytosine nucleotide in a DNA sequence [125,126,127]. The frequency of CpG dinucleotides is 10 times greater than average in CpG islands (CGI) [128]. Generally, CpGs outside the CGIs are mostly methylated, whereas the CpGs within these islands are prone to de-methylation, making them important for gene regulation [124,128,129]. Methylation of CpG residues is usually associated with a “closed” chromatin (heterochromatin) structure resulting in gene suppression [130,131]. CpG methylation patterns are maintained or added de novo by DNA methyltransferases 1, 3a and 3b respectively (DNMT 1, 3a and 3b). Active promoters are usually un-methylated and result in an “open” chromatin conformation (euchromatin).
Both histone modifications and DNA methylation alter chromatin accessibility. These changes enable the transcriptional machinery to bind to promoters or other regulatory regions of genes, thereby controlling their level of expression. A single promoter can have a combination of these modifications simultaneously, that instruct a gene for active transcription or suppression. As the chromatin “opens” for transcription, it also allows repressive transcription factors to bind to gene regulatory and/or promoter regions resulting in gene suppression. Therefore, epigenetic modulation of gene expression is a complex process that provides a secondary level of gene regulation.

5. Epigenetics in FIV and SIV

Epigenetic changes in the FIV and SIV proviruses have been extensively studied to understand HIV latency which have enabled the testing of ARVs in both the disease models. The FIV and SIV LTR regions of promoters have de-acetylated and methylated histones similar to HIV infection resulting in latency [42,64,65]. Unlike during HIV infection, the FIV proviral promoter is not hypermethylated in latently infected CD4+ T cells and monocytes isolated from peripheral blood of FIV-infected cats [132]. During the asymptomatic phase of SIV infection, H4 is de-acetylated in the brain whereas in the acute phase, high levels of acetylated H4 are detected [64]. As described in previous sections, HDAC and HMT inhibitors such as SAHA and valproic acid have been tested in these two animal models successfully reactivating latent FIV/SIV in vitro and ex vivo [25,65]. Studies exploring the role of epigenetics in immune cells responding to lentivirus infections is limited. Our group largely studies the epigenetic events in CD4+ and CD8+ T effector cells due to the interaction with Treg cells during FIV infection. We have demonstrated that during FIV infection, CD8+ T cells directly interact with lentivirus activated Treg cells via a membrane bound TGF-β mechanism, inducing Foxp3 in these cells [113,114]. We have shown that Foxp3 binds to the IL-2, IFN-γ and TNF-α promoters in CD8+ T cells isolated from FIV-infected cats and that this binding is epigenetically modulated, via DNA de-methylation and histone acetylation ([115,116]; manuscript in preparation). We have also reported the microRNA 10a is upregulated in Foxp3+ Treg cells isolated from FIV-infected cats likely stabilizing Foxp3 expression in Treg cells ex vivo [133]. Collectively, our data suggest the role of epigenetics in explaining, in part, the mechanism of Treg-mediated suppression of CD8+ T cells during chronic lentivirus infections using the FIV model. Although the SIV model has not been utilized to characterize the epigenetic landscape in response to SIV infection, recent reports highlight the importance of studying this model to further elucidate the molecular events driving CD8+ T cell dysfunction. A recent study identified the differentially methylated transcription factors and microRNAs in inter and intra-species analysis between humans and rhesus macaques [134]. MicroRNA mml-miR-338-5p is differentially methylated and modulated by SIV infection in the brain after treatment with cannabinoids, frequently prescribed to people living with HIV/AIDS (PLWHA) [135]. Another recent report discussed the potential role of H3K27 methylation by enhancer of zeste homolog 2 (EZH2) in the differentiation and maturation of B and T follicular helper (Tfh) cells in the germinal centers (GC) during SIV infection [136]. These reports clearly suggest that epigenetic changes drive the cellular responses during SIV infection. Therefore, there is a need to further elucidate the epigenetic events involved in cell-mediated immune responses to lentivirus infections, specifically CD8+ T cells.

6. Epigenetics in HIV

There are multiple reports describing epigenetic modifications during chronic viral infections such as HIV, hepatitis B virus (HBV), hepatitis C virus (HCV), human papillomavirus (HPV) and Epstein–Barr virus (EBV) infections in humans [137,138,139,140,141]. For example, HBV and HCV induce DNA methylation in mice with humanized livers and the HPV viral genome is subjected to DNA methylation-mediated control during infection [141,142]. The epigenetic alterations in these chronic viral infections and the use of epigenetic therapy for their treatment has been reviewed in Moos et al. [143].
Epigenetic modifications in HIV infection been extensively studied in the context of HIV latency. HIV proviral latency is maintained by histone deacetylases that inhibit transcription from the HIV LTR [144]. Deacetylation and methylation of histones during HIV-1 infection interfere with the binding of DNA polymerase and restrict the production of active HIV-1 transcripts from proviral DNA. The 5′ long terminal repeat (5′ LTR) region of HIV DNA is highly susceptible to inhibitory epigenetic modification [41]. Silencing epigenetic modifications of other viral proteins are a major contributor to viral latency. The genes of several HIV accessory proteins, such as Nef, Vpr and Tat, are hyper-methylated and thereby promote viral latency [145,146]. As these epigenetic modifications are reversible, efforts have been made to identify epigenetic modulators that can reactivate these silenced viral genes, and thereby reactivate latently infected cells. The “Shock and Kill” strategy aims to reverse latency by manipulating histone post-translational modifications to enable virus replication; once virus is activated and released, multiple different strategies are being pursued to eliminate virally infected cells or free virus. The latter include suppression of virus replication by interfering with the virus life cycle through antiretroviral drugs or the boosting of antiviral immune responses [11]. HDAC inhibitors such as valproic acid, SAHA (vorinostat) and panobinostat have been reported to increase HIV-1 transcription from proviral DNA in latently infected cells in vitro and in clinical trials [147,148,149]. Similarly, treatment with the histone lysine methyl transferase inhibitor, HKMT G9a antagonist BIX01294, has resulted in increased HIV RNA levels, and combination therapy approaches utilizing different HDAC inhibitors and HKMT inhibitors are being explored [150,151]. Other studies have tested the manipulation of epigenetic moieties at the DNA level by using modulators such as 5-aza-2′- deoxycytidine (aza-CdR) [152]. Apart from epigenetic modifiers, several small molecules, such as JQ1 and protein kinase C (PKC) agonists can reactivate the latent reservoirs as well.
An important question that needs to be pursued in parallel is whether the patient’s immune response will be robust enough to clear the infection upon successful purging of the reservoir. As described above, virus-specific CD8+ T cells exhibit progressive dysfunction during the course of infection due to a number of factors including persistent immune activation, Treg-mediated suppression, and lentivirus induced epigenetic modifications. Thus, to successfully cure HIV infection, we need to address this problem from multiple angles. Along with latency reactivation, it is important to identify strategies that can boost CD8+ T cell function to eliminate reactivated cells.

7. Epigenetic Modulation of Immune Cells as a Result of HIV Infection

In order to develop strategies to boost CD8+ T cell function, we need a better understanding of the epigenetic changes in immune cells infected with and responding to HIV infection, including CD8+ T cells, and this will be the focus here. Recent studies indicate that epigenetic modifications are induced very early after infection [153]. In vitro, epigenetic modifications in PBMC or primary CD4+ T cells can be detected as early as 36 hours after HIV-1 infection [153]. Enrichment of H3K9me3 and H3K27me3 marks result in transcriptional repression, including the downregulation of important antiviral cytokine genes, such as IL-2 and IFN-γ [153]. Similarly, Mikovitz et al. reported that increased methylation of the IFN-γ promoter along with increased DNMT expression results in the suppression of IFN-γ in HIV-infected CD4+ T cell in vitro [154]. In another study, Hosoya et al. demonstrated that DNA methylation during chronic HIV infection regulates loss of IL-2 in senescent CD4+ T cells [155]. They also reported that the CD28 co-stimulatory signaling pathway plays an important role in de-methylation/re-methylation of the Il2 gene [155]. Both IL-2 and IFN-γ are necessary to support CTL and natural killer (NK) cell activity and thus, the suppression of these cytokines in CD4+ T cells might negatively impact virus control during HIV infection [156].
In addition, CD8+ T cells themselves are epigenetically modified during HIV infection [157,158]. For example, the expression of the inhibitory PD-1 molecule is regulated by methylation of the PD-1 promoter. CD8+ T cells from HIV-infected subjects classified as long term non-progressors (LTNP) or patients with fully suppressed plasma viremia by ART have an unmethylated PD-1 promoter [158]. Zhang et al. reported that the inability of exhausted CD8+ T cells to produce IFN-γ and IL-2 positively correlates with low levels of diAcH3 in the regulatory regions of the Ifng and Il2 genes. They further demonstrated that exhausted CD8+ T cells have overall lower levels of histone acetylation [159]. These data imply that CD8+ T cell function is epigenetically controlled during HIV infection. Therefore, reversing repressive epigenetic signatures using epigenetic modulators could potentially recover CD8+ T cell function.
Our research group has studied the molecular events responsible for CD8+ T cell dysfunction in the FIV model. Data by our lab and others suggest that FIV provirus and infected CD4+ T cells are epigenetically modulated during infection and that epigenetic modulators can be used to reverse these events [25,115]. We have further demonstrated that dysfunctional CD8+ T cells, that evolve during the chronic phase of FIV infection, are epigenetically modulated [115]. Specifically, lentivirus activated CD4+CD25+ Treg cells induce Foxp3 expression in CD8+ T cells, and Foxp3 mediates antiviral cytokine suppression by directly binding to the IL-2, TNF-α and IFN-γ promoter regions [107,115,116]. We have also demonstrated that blocking DNA de-methylation and histone acetylation reduces Foxp3 binding to the IL-2 promoter in the FIV model ([115], manuscript in preparation). These data reveal a novel Foxp3-mediated mechanism contributing to CD8+ T cell dysfunction in lentivirus infections.
In addition, Treg cells themselves can be epigenetically modulated by HIV-1 infection [105]. HIV-1 infection results in downregulation of Foxp3 expression in Treg cells followed by loss of suppressive activity and alterations in cytokine expression profile. The same group found the CpG sites in the Foxp3 locus to be hypermethylated due to increased expression of DNMT3b [105]. Another report, however, showed increased frequency of Treg cells in the gut mucosa of HIV-1 infected patients due to decreased methylation of Foxp3 promoters in the gut associated T cells, causing the induction of iTreg cells [160]. They also reported that the Foxp3 promoter was significantly de-methylated possibly due to the downregulation of key DNMT enzymes in HIV patients when compared to uninfected control subjects [160]. These conflicting results regarding the methylation status of the Foxp3 promoter after HIV-1 infection indicate the lack of literature describing the epigenetic changes induced by lentivirus infections in Treg cells which necessitates further studies.

8. Current Strategies to Boost CD8+ T Cell Function

Several immune strategies have been tested to improve CD8+ T cell function during chronic HIV infection. Exhausted CD8+ T cells upregulate inhibitory receptors such as PD-1, CTLA-4, TIM-3, CD160, 2B4 and LAG-3, and in vitro and in vivo blockade of these inhibitory receptors has shown promising results in enhancing the cytotoxic function of CD8+ T cells [161,162]. Toll-like receptor 2 (TLR 2) agonists and agonistic antibodies against 4-1BB or CD40 have also yielded positive results in reversing CD8+ T cell exhaustion in vivo [163]. Additionally, recombinant cytokines alone or in combination with checkpoint inhibitors can increase CD8+ T cell function. For example, due to the success of recombinant IL-15 in enhancing CD8+ T cell function in animal models, the superagonist IL-15 ALT-803 is being tested in a clinical trial with ART-treated HIV patients [164,165].
In the past, adoptive transfer studies using functionally competent CD8+ T cells that were expanded ex vivo were not very successful, in part due to the absence of standardized protocols for ex vivo expansion of T cells and for a lack of knowledge on how to avoid non-specific immune activation [166,167]. However, with the recent advancements and success of the chimeric antigen receptor (CAR) technology in cancer therapy, CAR-T cells hold great promise in HIV-treatment. Recent reports described that T cells engineered to express anti-HIV CAR (HIV-CAR) can specifically target HIV-infected T cells ex vivo [168]. Epigenetic modulations using HDACi have been explored for their ability to boost CD8+ T cell function. Agarwal et al. demonstrated that the cytolytic response of stimulated CD8+ T cells can be increased by increasing the expression of IFN-γ, MIP-1α and MIP-1β using HDACi [169]. Similarly, in vitro treatment of exhausted CD8+ T cells with HDAC inhibitors could restore diAcH3 levels, improving CD8+ T cell function, and adoptive transfer of these cells resulted in long term persistence of these CD8+ T cells and development into functional memory cells in mice [159]. These studies support the rationale to further explore epigenetic modulators to reverse detrimental HIV-induced modifications and enhance antiviral host immunity.

9. Conclusions

CD8+ T cell function is essential to fight chronic lentivirus infection and to eliminate reactivated latently infected cells. However, often these CD8+ T cells have impaired proliferation and functional capacity. We need to identify novel methods to boost these dysfunctional CD8+ T cells to improve current HIV cure strategies. Epigenetic manipulation of dysfunctional CD8+ T cells holds great promise to solve this problem. Figure 3 illustrates the mechanism of boosting CD8+ T cell function by epigenetically modulating dysfunctional cells.
In the FIV model, we have reported that Treg cells suppress CD8+ T cell antiviral function by inducing stable Foxp3 in CD8+ T cells, with Foxp3 directly binding to the promoters of IL-2, TNF-α and IFN-γ in FIV-specific CD8+ T cells [108,109]. We demonstrated that Foxp3 binding at these cytokine promoters is epigenetically modulated ([108]; manuscript in preparation), and by blocking DNA de-methylation and histone acetylation we could reduce Foxp3 binding to the IL-2 promoter region ([108]; manuscript in preparation). These data suggest that therapeutic interventions targeted at specific epigenetic modifications in dysfunctional CD8+ T cells can reverse Foxp3-mediated suppression. Currently, we are attempting to validate these findings in the rhesus macaque model of SIV infection. We are aiming to identify differences in the epigenetic signatures of SIV-infected and -uninfected macaques and whether epigenetic changes differ in distinct anatomic locations, such as mucosal tissues, secondary lymphoid tissues and peripheral blood. As epigenetic remodeling events can alter gene expression, we are specifically focusing on identifying epigenetic signatures associated with CD8+ T cell dysregulation. Utilizing the FIV and SIV animal models, our ultimate goal is to identify epigenetic targets that can be modulated for therapeutic use in HIV cure.
Several open questions remain: How early do these modifications appear during the course of infection? How informative will studies in animal models be? Are the epigenetic modifications across FIV, SIV and HIV conserved? Are there any differences in epigenetic signatures across CD8+ T cells with distinct differentiation states or in specific tissues? Are there differences in epigenetic signatures across different age groups, in HIV-infected people of different gender, or people in different geographic locations? How do virus-specific and/or host-specific factors influence epigenetic changes? Many other confounding factors, such as co-infection, are likely to alter the epigenetic landscape, too. Our understanding of epigenetic changes in immune cells important in viral control, i.e., CD8+ T cells, is very limited. Specifically, the knowledge of epigenetic signatures that are unique to CD8+ T cells remains relatively unknown. Therefore, we need to identify differences in the epigenetic landscape of CD8+ T cells in acute and chronic lentiviral infection. Only then can we identify specific epigenetic targets that can be modulated to improve the cytokine production and cytolytic function of dysfunctional CD8+ T cells during HIV infection.

Author Contributions

M.N., K.D.P., and J.E.F. wrote the manuscript.

Acknowledgments

This research was supported in part by the Creative and Novel Ideas in HIV Research (CNIHR) Program through a supplement to the University of Alabama at Birmingham (UAB) Center For AIDS Research funding (P30 AI027767). This funding was made possible by collaborative efforts of the Office of AIDS Research, the National Institute of Allergy and Infectious Diseases, and the International AIDS Society. This research was funded in part by a 2017 developmental grant from the University of North Carolina at Chapel Hill Center for AIDS Research (CFAR), an NIH funded program P30 AI50410.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Gulzar, N.; Copeland, K.F. CD8+ T-cells: Function and response to HIV infection. Curr. HIV Res. 2004, 2, 23–37. [Google Scholar] [CrossRef] [PubMed]
  2. Migueles, S.A.; Connors, M. The Role of CD4+ and CD8+ T Cells in Controlling HIV Infection. Curr. Infect. Dis. Rep. 2002, 4, 461–467. [Google Scholar] [CrossRef] [PubMed]
  3. Cohen, M.S.; Shaw, G.M.; McMichael, A.J.; Haynes, B.F. Acute HIV-1 Infection. N. Engl. J. Med. 2011, 364, 1943–1954. [Google Scholar] [CrossRef] [PubMed]
  4. Hua, S.; Lecuroux, C.; Saez-Cirion, A.; Pancino, G.; Girault, I.; Versmisse, P.; Boufassa, F.; Taulera, O.; Sinet, M.; Lambotte, O.; et al. Potential role for HIV-specific CD38/HLA-DR+ CD8+ T cells in viral suppression and cytotoxicity in HIV controllers. PLoS ONE 2014, 9, e101920. [Google Scholar] [CrossRef] [PubMed]
  5. Appay, V.; Nixon, D.F.; Donahoe, S.M.; Gillespie, G.M.; Dong, T.; King, A.; Ogg, G.S.; Spiegel, H.M.; Conlon, C.; Spina, C.A.; et al. HIV-specific CD8+ T cells produce antiviral cytokines but are impaired in cytolytic function. J. Exp. Med. 2000, 192, 63–75. [Google Scholar] [CrossRef] [PubMed]
  6. Goepfert, P.A.; Bansal, A.; Edwards, B.H.; Ritter, G.D., Jr.; Tellez, I.; McPherson, S.A.; Sabbaj, S.; Mulligan, M.J. A significant number of human immunodeficiency virus epitope-specific cytotoxic T lymphocytes detected by tetramer binding do not produce gamma interferon. J. Virol. 2000, 74, 10249–10255. [Google Scholar] [CrossRef] [PubMed]
  7. Chun, T.W.; Carruth, L.; Finzi, D.; Shen, X.; DiGiuseppe, J.A.; Taylor, H.; Hermankova, M.; Chadwick, K.; Margolick, J.; Quinn, T.C.; et al. Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection. Nature 1997, 387, 183–188. [Google Scholar] [CrossRef] [PubMed]
  8. Finzi, D.; Blankson, J.; Siliciano, J.D.; Margolick, J.B.; Chadwick, K.; Pierson, T.; Smith, K.; Lisziewicz, J.; Lori, F.; Flexner, C.; et al. Latent infection of CD4+ T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapy. Nat. Med. 1999, 5, 512–517. [Google Scholar] [CrossRef] [PubMed]
  9. Pierson, T.; McArthur, J.; Siliciano, R.F. Reservoirs for HIV-1: Mechanisms for viral persistence in the presence of antiviral immune responses and antiretroviral therapy. Annu. Rev. Immunol. 2000, 18, 665–708. [Google Scholar] [CrossRef] [PubMed]
  10. Cartwright, E.K.; Spicer, L.; Smith, S.A.; Lee, D.; Fast, R.; Paganini, S.; Lawson, B.O.; Nega, M.; Easley, K.; Schmitz, J.E.; et al. CD8+ Lymphocytes Are Required for Maintaining Viral Suppression in SIV-Infected Macaques Treated with Short-Term Antiretroviral Therapy. Immunity 2016, 45, 656–668. [Google Scholar] [CrossRef] [PubMed]
  11. Deeks, S.G. HIV: Shock and kill. Nature 2012, 487, 439–440. [Google Scholar] [CrossRef] [PubMed]
  12. Pandrea, I.; Gaufin, T.; Gautam, R.; Kristoff, J.; Mandell, D.; Montefiori, D.; Keele, B.F.; Ribeiro, R.M.; Veazey, R.S.; Apetrei, C. Functional cure of SIVagm infection in rhesus macaques results in complete recovery of CD4+ T cells and is reverted by CD8+ cell depletion. PLoS Pathog. 2011, 7, e1002170. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Schietinger, A.; Greenberg, P.D. Tolerance and exhaustion: Defining mechanisms of T cell dysfunction. Trends Immunol. 2014, 35, 51–60. [Google Scholar] [CrossRef] [PubMed]
  14. Wherry, E.J. T cell exhaustion. Nat. Immunol. 2011, 12, 492–499. [Google Scholar] [CrossRef] [PubMed]
  15. Wherry, E.J.; Kurachi, M. Molecular and cellular insights into T cell exhaustion. Nat. Rev. Immunol. 2015, 15, 486–499. [Google Scholar] [CrossRef] [PubMed]
  16. Blackburn, S.D.; Shin, H.; Haining, W.N.; Zou, T.; Workman, C.J.; Polley, A.; Betts, M.R.; Freeman, G.J.; Vignali, D.A.; Wherry, E.J. Coregulation of CD8+ T cell exhaustion by multiple inhibitory receptors during chronic viral infection. Nat. Immunol. 2009, 10, 29–37. [Google Scholar] [CrossRef] [PubMed]
  17. Jones, R.B.; Ndhlovu, L.C.; Barbour, J.D.; Sheth, P.M.; Jha, A.R.; Long, B.R.; Wong, J.C.; Satkunarajah, M.; Schweneker, M.; Chapman, J.M.; et al. Tim-3 expression defines a novel population of dysfunctional T cells with highly elevated frequencies in progressive HIV-1 infection. J. Exp. Med. 2008, 205, 2763–2779. [Google Scholar] [CrossRef] [PubMed]
  18. Velu, V.; Titanji, K.; Zhu, B.; Husain, S.; Pladevega, A.; Lai, L.; Vanderford, T.H.; Chennareddi, L.; Silvestri, G.; Freeman, G.J.; et al. Enhancing SIV-specific immunity in vivo by PD-1 blockade. Nature 2009, 458, 206–210. [Google Scholar] [CrossRef] [PubMed]
  19. Vigano, S.; Negron, J.; Ouyang, Z.; Rosenberg, E.S.; Walker, B.D.; Lichterfeld, M.; Yu, X.G. Prolonged Antiretroviral Therapy Preserves HIV-1-Specific CD8 T Cells with Stem Cell-Like Properties. J. Virol. 2015, 89, 7829–7840. [Google Scholar] [CrossRef] [PubMed]
  20. Brooks, D.G.; Kitchen, S.G.; Kitchen, C.M.; Scripture-Adams, D.D.; Zack, J.A. Generation of HIV latency during thymopoiesis. Nat. Med. 2001, 7, 459–464. [Google Scholar] [CrossRef] [PubMed]
  21. Brooks, D.G.; Hamer, D.H.; Arlen, P.A.; Gao, L.; Bristol, G.; Kitchen, C.M.; Berger, E.A.; Zack, J.A. Molecular characterization, reactivation, and depletion of latent HIV. Immunity 2003, 19, 413–423. [Google Scholar] [CrossRef]
  22. Policicchio, B.B.; Pandrea, I.; Apetrei, C. Animal Models for HIV Cure Research. Front. Immunol. 2016, 7, 12. [Google Scholar] [CrossRef] [PubMed]
  23. Burkhard, M.J.; Dean, G.A. Transmission and immunopathogenesis of FIV in cats as a model for HIV. Curr. HIV Res. 2003, 1, 15–29. [Google Scholar] [CrossRef] [PubMed]
  24. Elder, J.H.; Lin, Y.C.; Fink, E.; Grant, C.K. Feline immunodeficiency virus (FIV) as a model for study of lentivirus infections: Parallels with HIV. Curr. HIV Res. 2010, 8, 73–80. [Google Scholar] [CrossRef] [PubMed]
  25. McDonnel, S.J.; Sparger, E.E.; Murphy, B.G. Feline immunodeficiency virus latency. Retrovirology 2013, 10, 69. [Google Scholar] [CrossRef] [PubMed]
  26. Pedersen, N.C.; Yamamoto, J.K.; Ishida, T.; Hansen, H. Feline immunodeficiency virus infection. Vet. Immunol. Immunopathol. 1989, 21, 111–129. [Google Scholar] [CrossRef]
  27. Yamamoto, J.K.; Hansen, H.; Ho, E.W.; Morishita, T.Y.; Okuda, T.; Sawa, T.R.; Nakamura, R.M.; Pedersen, N.C. Epidemiologic and clinical aspects of feline immunodeficiency virus infection in cats from the continental United States and Canada and possible mode of transmission. J. Am. Vet. Med. Assoc. 1989, 194, 213–220. [Google Scholar] [PubMed]
  28. Magden, E.; Quackenbush, S.L.; VandeWoude, S. FIV associated neoplasms—A mini-review. Vet. Immunol. Immunopathol. 2011, 143, 227–234. [Google Scholar] [CrossRef] [PubMed]
  29. Phipps, A.J.; Hayes, K.A.; Buck, W.R.; Podell, M.; Mathes, L.E. Neurophysiologic and immunologic abnormalities associated with feline immunodeficiency virus molecular clone FIV-PPR DNA inoculation. J. Acquir. Immune Defic. Syndr. 2000, 23, 8–16. [Google Scholar] [CrossRef] [PubMed]
  30. Podell, M.; Hayes, K.; Oglesbee, M.; Mathes, L. Progressive encephalopathy associated with CD4/CD8 inversion in adult FIV-infected cats. J. Acquir. Immune Defic. Syndr. Hum. Retrovirol. 1997, 15, 332–340. [Google Scholar] [CrossRef] [PubMed]
  31. Podell, M.; Maruyama, K.; Smith, M.; Hayes, K.A.; Buck, W.R.; Ruehlmann, D.S.; Mathes, L.E. Frontal lobe neuronal injury correlates to altered function in FIV-infected cats. J. Acquir. Immune Defic. Syndr. 1999, 22, 10–18. [Google Scholar] [CrossRef] [PubMed]
  32. Yamamoto, J.K.; Sanou, M.P.; Abbott, J.R.; Coleman, J.K. Feline immunodeficiency virus model for designing HIV/AIDS vaccines. Curr. HIV Res. 2010, 8, 14–25. [Google Scholar] [CrossRef] [PubMed]
  33. Hartmann, K.; Kuffer, M.; Balzarini, J.; Naesens, L.; Goldberg, M.; Erfle, V.; Goebel, F.D.; De Clercq, E.; Jindrich, J.; Holy, A.; et al. Efficacy of the acyclic nucleoside phosphonates (S)-9-(3-fluoro-2-phosphonylmethoxypropyl)adenine (FPMPA) and 9-(2-phosphonylmethoxyethyl)adenine (PMEA) against feline immunodeficiency virus. J. Acquir. Immune Defic. Syndr. Hum. Retrovirol. 1998, 17, 120–128. [Google Scholar] [CrossRef] [PubMed]
  34. Siebelink, K.H.; Chu, I.H.; Rimmelzwaan, G.F.; Weijer, K.; van Herwijnen, R.; Knell, P.; Egberink, H.F.; Bosch, M.L.; Osterhaus, A.D. Feline immunodeficiency virus (FIV) infection in the cat as a model for HIV infection in man: FIV-induced impairment of immune function. AIDS Res. Hum. Retrovir. 1990, 6, 1373–1378. [Google Scholar] [CrossRef] [PubMed]
  35. Arai, M.; Earl, D.D.; Yamamoto, J.K. Is AZT/3TC therapy effective against FIV infection or immunopathogenesis? Vet. Immunol. Immunopathol. 2002, 85, 189–204. [Google Scholar] [CrossRef]
  36. Fogle, J.E.; Tompkins, W.A.; Campbell, B.; Sumner, D.; Tompkins, M.B. Fozivudine tidoxil as single-agent therapy decreases plasma and cell-associated viremia during acute feline immunodeficiency virus infection. J. Vet. Intern. Med. 2011, 25, 413–418. [Google Scholar] [CrossRef] [PubMed]
  37. Hartmann, K.; Donath, A.; Beer, B.; Egberink, H.F.; Horzinek, M.C.; Lutz, H.; Hoffmann-Fezer, G.; Thum, I.; Thefeld, S. Use of two virustatica (AZT, PMEA) in the treatment of FIV and of FeLV seropositive cats with clinical symptoms. Vet. Immunol. Immunopathol. 1992, 35, 167–175. [Google Scholar] [CrossRef]
  38. Smyth, N.R.; McCracken, C.; Gaskell, R.M.; Cameron, J.M.; Coates, J.A.; Gaskell, C.J.; Hart, C.A.; Bennett, M. Susceptibility in cell culture of feline immunodeficiency virus to eighteen antiviral agents. J. Antimicrob. Chemother. 1994, 34, 589–594. [Google Scholar] [CrossRef] [PubMed]
  39. Savarino, A.; Pistello, M.; D’Ostilio, D.; Zabogli, E.; Taglia, F.; Mancini, F.; Ferro, S.; Matteucci, D.; De Luca, L.; Barreca, M.L.; et al. Human immunodeficiency virus integrase inhibitors efficiently suppress feline immunodeficiency virus replication in vitro and provide a rationale to redesign antiretroviral treatment for feline AIDS. Retrovirology 2007, 4, 79. [Google Scholar] [CrossRef] [PubMed]
  40. Wongsrikeao, P.; Saenz, D.; Rinkoski, T.; Otoi, T.; Poeschla, E. Antiviral restriction factor transgenesis in the domestic cat. Nat. Methods 2011, 8, 853–859. [Google Scholar] [CrossRef] [PubMed]
  41. Colin, L.; Van Lint, C. Molecular control of HIV-1 postintegration latency: Implications for the development of new therapeutic strategies. Retrovirology 2009, 6, 111. [Google Scholar] [CrossRef] [PubMed]
  42. McDonnel, S.J.; Sparger, E.E.; Luciw, P.A.; Murphy, B.G. Transcriptional regulation of latent feline immunodeficiency virus in peripheral CD4+ T-lymphocytes. Viruses 2012, 4, 878–888. [Google Scholar] [CrossRef] [PubMed]
  43. McDonnel, S.J.; Liepnieks, M.L.; Murphy, B.G. Treatment of chronically FIV-infected cats with suberoylanilide hydroxamic acid. Antivir. Res. 2014, 108, 74–78. [Google Scholar] [CrossRef] [PubMed]
  44. Bienzle, D. FIV in cats—A useful model of HIV in people? Vet. Immunol. Immunopathol. 2014, 159, 171–179. [Google Scholar] [CrossRef] [PubMed]
  45. Gemeniano, M.C.; Sawai, E.T.; Sparger, E.E. Feline immunodeficiency virus Orf-A localizes to the nucleus and induces cell cycle arrest. Virology 2004, 325, 167–174. [Google Scholar] [CrossRef] [PubMed]
  46. Dean, G.A.; Reubel, G.H.; Moore, P.F.; Pedersen, N.C. Proviral burden and infection kinetics of feline immunodeficiency virus in lymphocyte subsets of blood and lymph node. J. Virol. 1996, 70, 5165–5169. [Google Scholar] [PubMed]
  47. Shimojima, M.; Miyazawa, T.; Ikeda, Y.; McMonagle, E.L.; Haining, H.; Akashi, H.; Takeuchi, Y.; Hosie, M.J.; Willett, B.J. Use of CD134 as a primary receptor by the feline immunodeficiency virus. Science 2004, 303, 1192–1195. [Google Scholar] [CrossRef] [PubMed]
  48. Moir, S.; Malaspina, A.; Li, Y.; Chun, T.W.; Lowe, T.; Adelsberger, J.; Baseler, M.; Ehler, L.A.; Liu, S.; Davey, R.T., Jr.; et al. B cells of HIV-1-infected patients bind virions through CD21-complement interactions and transmit infectious virus to activated T cells. J. Exp. Med. 2000, 192, 637–646. [Google Scholar] [CrossRef] [PubMed]
  49. Ho, J.; Moir, S.; Kulik, L.; Malaspina, A.; Donoghue, E.T.; Miller, N.J.; Wang, W.; Chun, T.W.; Fauci, A.S.; Holers, V.M. Role for CD21 in the establishment of an extracellular HIV reservoir in lymphoid tissues. J. Immunol. 2007, 178, 6968–6974. [Google Scholar] [CrossRef] [PubMed]
  50. Eckstrand, C.D.; Sparger, E.E.; Pitt, K.A.; Murphy, B.G. Peripheral and central immune cell reservoirs in tissues from asymptomatic cats chronically infected with feline immunodeficiency virus. PLoS ONE 2017, 12, e0175327. [Google Scholar] [CrossRef] [PubMed]
  51. Gardner, M.B.; Luciw, P.A. Macaque models of human infectious disease. ILAR J. 2008, 49, 220–255. [Google Scholar] [CrossRef] [PubMed]
  52. Chahroudi, A.; Bosinger, S.E.; Vanderford, T.H.; Paiardini, M.; Silvestri, G. Natural SIV hosts: Showing AIDS the door. Science 2012, 335, 1188–1193. [Google Scholar] [CrossRef] [PubMed]
  53. Hatziioannou, T.; Evans, D.T. Animal models for HIV/AIDS research. Nat. Rev. Microbiol. 2012, 10, 852–867. [Google Scholar] [CrossRef] [PubMed]
  54. Van Rompay, K.K. The use of nonhuman primate models of HIV infection for the evaluation of antiviral strategies. AIDS Res. Hum. Retrovir. 2012, 28, 16–35. [Google Scholar] [CrossRef] [PubMed]
  55. Van Rompay, K.K. Evaluation of antiretrovirals in animal models of HIV infection. Antivir. Res. 2010, 85, 159–175. [Google Scholar] [CrossRef] [PubMed]
  56. Tsai, C.C.; Emau, P.; Follis, K.E.; Beck, T.W.; Benveniste, R.E.; Bischofberger, N.; Lifson, J.D.; Morton, W.R. Effectiveness of postinoculation (R)-9-(2-phosphonylmethoxypropyl) adenine treatment for prevention of persistent simian immunodeficiency virus SIVmne infection depends critically on timing of initiation and duration of treatment. J. Virol. 1998, 72, 4265–4273. [Google Scholar] [PubMed]
  57. Abdool Karim, Q.; Abdool Karim, S.S.; Frohlich, J.A.; Grobler, A.C.; Baxter, C.; Mansoor, L.E.; Kharsany, A.B.; Sibeko, S.; Mlisana, K.P.; Omar, Z.; et al. Effectiveness and safety of tenofovir gel, an antiretroviral microbicide, for the prevention of HIV infection in women. Science 2010, 329, 1168–1174. [Google Scholar] [CrossRef] [PubMed]
  58. Flynn, N.M.; Forthal, D.N.; Harro, C.D.; Judson, F.N.; Mayer, K.H.; Para, M.F.; rgp120 HIV Vaccine Study Group. Placebo-controlled phase 3 trial of a recombinant glycoprotein 120 vaccine to prevent HIV-1 infection. J. Infect. Dis. 2005, 191, 654–665. [Google Scholar] [PubMed]
  59. Pitisuttithum, P.; Gilbert, P.; Gurwith, M.; Heyward, W.; Martin, M.; van Griensven, F.; Hu, D.; Tappero, J.W.; Choopanya, K.; Bangkok Vaccine Evaluation, G. Randomized, double-blind, placebo-controlled efficacy trial of a bivalent recombinant glycoprotein 120 HIV-1 vaccine among injection drug users in Bangkok, Thailand. J. Infect. Dis. 2006, 194, 1661–1671. [Google Scholar] [CrossRef] [PubMed]
  60. Rerks-Ngarm, S.; Brown, A.E.; Khamboonruang, C.; Thongcharoen, P.; Kunasol, P. HIV/AIDS preventive vaccine ‘prime-boost’ phase III trial: Foundations and initial lessons learned from Thailand. AIDS 2006, 20, 1471–1479. [Google Scholar] [CrossRef] [PubMed]
  61. Barouch, D.H.; Alter, G.; Broge, T.; Linde, C.; Ackerman, M.E.; Brown, E.P.; Borducchi, E.N.; Smith, K.M.; Nkolola, J.P.; Liu, J.; et al. Protective efficacy of adenovirus/protein vaccines against SIV challenges in rhesus monkeys. Science 2015, 349, 320–324. [Google Scholar] [CrossRef] [PubMed]
  62. Crise, B.; Li, Y.; Yuan, C.; Morcock, D.R.; Whitby, D.; Munroe, D.J.; Arthur, L.O.; Wu, X. Simian immunodeficiency virus integration preference is similar to that of human immunodeficiency virus type 1. J. Virol. 2005, 79, 12199–12204. [Google Scholar] [CrossRef] [PubMed]
  63. Nishimura, Y.; Sadjadpour, R.; Mattapallil, J.J.; Igarashi, T.; Lee, W.; Buckler-White, A.; Roederer, M.; Chun, T.W.; Martin, M.A. High frequencies of resting CD4+ T cells containing integrated viral DNA are found in rhesus macaques during acute lentivirus infections. Proc. Natl. Acad. Sci. USA 2009, 106, 8015–8020. [Google Scholar] [CrossRef] [PubMed]
  64. Barber, S.A.; Gama, L.; Dudaronek, J.M.; Voelker, T.; Tarwater, P.M.; Clements, J.E. Mechanism for the establishment of transcriptional HIV latency in the brain in a simian immunodeficiency virus-macaque model. J. Infect. Dis. 2006, 193, 963–970. [Google Scholar] [CrossRef] [PubMed]
  65. Darcis, G.; Van Driessche, B.; Bouchat, S.; Kirchhoff, F.; Van Lint, C. Molecular Control of HIV and SIV Latency. Curr. Top. Microbiol. Immunol. 2017. [Google Scholar] [CrossRef]
  66. Goulder, P.J.; Watkins, D.I. HIV and SIV CTL escape: Implications for vaccine design. Nat. Rev. Immunol. 2004, 4, 630–640. [Google Scholar] [CrossRef] [PubMed]
  67. Bourry, O.; Mannioui, A.; Sellier, P.; Roucairol, C.; Durand-Gasselin, L.; Dereuddre-Bosquet, N.; Benech, H.; Roques, P.; Le Grand, R. Effect of a short-term HAART on SIV load in macaque tissues is dependent on time of initiation and antiviral diffusion. Retrovirology 2010, 7, 78. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Mannioui, A.; Bourry, O.; Sellier, P.; Delache, B.; Brochard, P.; Andrieu, T.; Vaslin, B.; Karlsson, I.; Roques, P.; Le Grand, R. Dynamics of viral replication in blood and lymphoid tissues during SIVmac251 infection of macaques. Retrovirology 2009, 6, 106. [Google Scholar] [CrossRef] [PubMed]
  69. Sellier, P.; Mannioui, A.; Bourry, O.; Dereuddre-Bosquet, N.; Delache, B.; Brochard, P.; Calvo, J.; Prevot, S.; Roques, P. Antiretroviral treatment start-time during primary SIV(mac) infection in macaques exerts a different impact on early viral replication and dissemination. PLoS ONE 2010, 5, e10570. [Google Scholar] [CrossRef] [PubMed]
  70. North, T.W.; Van Rompay, K.K.; Higgins, J.; Matthews, T.B.; Wadford, D.A.; Pedersen, N.C.; Schinazi, R.F. Suppression of virus load by highly active antiretroviral therapy in rhesus macaques infected with a recombinant simian immunodeficiency virus containing reverse transcriptase from human immunodeficiency virus type 1. J. Virol. 2005, 79, 7349–7354. [Google Scholar] [CrossRef] [PubMed]
  71. Jiang, Y.; Tian, B.; Saifuddin, M.; Agy, M.B.; Emau, P.; Cairns, J.S.; Tsai, C.C. RT-SHIV, an infectious CCR5-tropic chimeric virus suitable for evaluating HIV reverse transcriptase inhibitors in macaque models. AIDS Res. Ther. 2009, 6, 23. [Google Scholar] [CrossRef] [PubMed]
  72. Del Prete, G.Q.; Ailers, B.; Moldt, B.; Keele, B.F.; Estes, J.D.; Rodriguez, A.; Sampias, M.; Oswald, K.; Fast, R.; Trubey, C.M.; et al. Selection of unadapted, pathogenic SHIVs encoding newly transmitted HIV-1 envelope proteins. Cell Host Microbe 2014, 16, 412–418. [Google Scholar] [CrossRef] [PubMed]
  73. Fontenot, J.D.; Gavin, M.A.; Rudensky, A.Y. Foxp3 programs the development and function of CD4+CD25+ regulatory T cells. Nat. Immunol. 2003, 4, 330–336. [Google Scholar] [CrossRef] [PubMed]
  74. Sakaguchi, S.; Sakaguchi, N.; Asano, M.; Itoh, M.; Toda, M. Immunologic self-tolerance maintained by activated T cells expressing IL-2 receptor alpha-chains (CD25). Breakdown of a single mechanism of self-tolerance causes various autoimmune diseases. J. Immunol. 1995, 155, 1151–1164. [Google Scholar] [PubMed]
  75. Sakaguchi, S.; Wing, K.; Yamaguchi, T. Dynamics of peripheral tolerance and immune regulation mediated by Treg. Eur. J. Immunol. 2009, 39, 2331–2336. [Google Scholar] [CrossRef] [PubMed]
  76. Hartigan-O’Connor, D.J.; Poon, C.; Sinclair, E.; McCune, J.M. Human CD4+ regulatory T cells express lower levels of the IL-7 receptor alpha chain (CD127), allowing consistent identification and sorting of live cells. J. Immunol. Methods 2007, 319, 41–52. [Google Scholar] [CrossRef] [PubMed]
  77. Apostolou, I.; von Boehmer, H. In vivo instruction of suppressor commitment in naive T cells. J. Exp. Med. 2004, 199, 1401–1408. [Google Scholar] [CrossRef] [PubMed]
  78. Haribhai, D.; Lin, W.; Edwards, B.; Ziegelbauer, J.; Salzman, N.H.; Carlson, M.R.; Li, S.H.; Simpson, P.M.; Chatila, T.A.; Williams, C.B. A central role for induced regulatory T cells in tolerance induction in experimental colitis. J. Immunol. 2009, 182, 3461–3468. [Google Scholar] [CrossRef] [PubMed]
  79. Kretschmer, K.; Apostolou, I.; Hawiger, D.; Khazaie, K.; Nussenzweig, M.C.; von Boehmer, H. Inducing and expanding regulatory T cell populations by foreign antigen. Nat. Immunol. 2005, 6, 1219–1227. [Google Scholar] [CrossRef] [PubMed]
  80. Feuerer, M.; Hill, J.A.; Kretschmer, K.; von Boehmer, H.; Mathis, D.; Benoist, C. Genomic definition of multiple ex vivo regulatory T cell subphenotypes. Proc. Natl. Acad. Sci. USA 2010, 107, 5919–5924. [Google Scholar] [CrossRef] [PubMed]
  81. Haribhai, D.; Williams, J.B.; Jia, S.; Nickerson, D.; Schmitt, E.G.; Edwards, B.; Ziegelbauer, J.; Yassai, M.; Li, S.H.; Relland, L.M.; et al. A requisite role for induced regulatory T cells in tolerance based on expanding antigen receptor diversity. Immunity 2011, 35, 109–122. [Google Scholar] [CrossRef] [PubMed]
  82. Chen, W.; Jin, W.; Hardegen, N.; Lei, K.J.; Li, L.; Marinos, N.; McGrady, G.; Wahl, S.M. Conversion of peripheral CD4+CD25 naive T cells to CD4+CD25+ regulatory T cells by TGF-beta induction of transcription factor Foxp3. J. Exp. Med. 2003, 198, 1875–1886. [Google Scholar] [CrossRef] [PubMed]
  83. Fantini, M.C.; Becker, C.; Monteleone, G.; Pallone, F.; Galle, P.R.; Neurath, M.F. Cutting edge: TGF-beta induces a regulatory phenotype in CD4+CD25 T cells through Foxp3 induction and down-regulation of Smad7. J. Immunol. 2004, 172, 5149–5153. [Google Scholar] [CrossRef] [PubMed]
  84. Sojka, D.K.; Huang, Y.H.; Fowell, D.J. Mechanisms of regulatory T-cell suppression—A diverse arsenal for a moving target. Immunology 2008, 124, 13–22. [Google Scholar] [CrossRef] [PubMed]
  85. Belkaid, Y. Regulatory T cells and infection: A dangerous necessity. Nat. Rev. Immunol. 2007, 7, 875–888. [Google Scholar] [CrossRef] [PubMed]
  86. Belkaid, Y.; Rouse, B.T. Natural regulatory T cells in infectious disease. Nat. Immunol. 2005, 6, 353–360. [Google Scholar] [CrossRef] [PubMed]
  87. Selliah, N.; Zhang, M.; White, S.; Zoltick, P.; Sawaya, B.E.; Finkel, T.H.; Cron, R.Q. FOXP3 inhibits HIV-1 infection of CD4 T-cells via inhibition of LTR transcriptional activity. Virology 2008, 381, 161–167. [Google Scholar] [CrossRef] [PubMed]
  88. Holmes, D.; Jiang, Q.; Zhang, L.; Su, L. Foxp3 and Treg cells in HIV-1 infection and immuno-pathogenesis. Immunol. Res. 2008, 41, 248–266. [Google Scholar] [CrossRef] [PubMed]
  89. Andersson, J.; Boasso, A.; Nilsson, J.; Zhang, R.; Shire, N.J.; Lindback, S.; Shearer, G.M.; Chougnet, C.A. The prevalence of regulatory T cells in lymphoid tissue is correlated with viral load in HIV-infected patients. J. Immunol. 2005, 174, 3143–3147. [Google Scholar] [CrossRef] [PubMed]
  90. Kinter, A.L.; Horak, R.; Sion, M.; Riggin, L.; McNally, J.; Lin, Y.; Jackson, R.; O’Shea, A.; Roby, G.; Kovacs, C.; et al. CD25+ regulatory T cells isolated from HIV-infected individuals suppress the cytolytic and nonlytic antiviral activity of HIV-specific CD8+ T cells in vitro. AIDS Res. Hum. Retrovir. 2007, 23, 438–450. [Google Scholar] [CrossRef] [PubMed]
  91. Bandera, A.; Ferrario, G.; Saresella, M.; Marventano, I.; Soria, A.; Zanini, F.; Sabbatini, F.; Airoldi, M.; Marchetti, G.; Franzetti, F.; et al. CD4+ T cell depletion, immune activation and increased production of regulatory T cells in the thymus of HIV-infected individuals. PLoS ONE 2010, 5, e10788. [Google Scholar] [CrossRef] [PubMed]
  92. Allers, K.; Loddenkemper, C.; Hofmann, J.; Unbehaun, A.; Kunkel, D.; Moos, V.; Kaup, F.J.; Stahl-Hennig, C.; Sauermann, U.; Epple, H.J.; et al. Gut mucosal FOXP3+ regulatory CD4+ T cells and Nonregulatory CD4+ T cells are differentially affected by simian immunodeficiency virus infection in rhesus macaques. J. Virol. 2010, 84, 3259–3269. [Google Scholar] [CrossRef] [PubMed]
  93. Kornfeld, C.; Ploquin, M.J.; Pandrea, I.; Faye, A.; Onanga, R.; Apetrei, C.; Poaty-Mavoungou, V.; Rouquet, P.; Estaquier, J.; Mortara, L.; et al. Antiinflammatory profiles during primary SIV infection in African green monkeys are associated with protection against AIDS. J. Clin. Investig. 2005, 115, 1082–1091. [Google Scholar] [CrossRef] [PubMed]
  94. Chase, A.J.; Sedaghat, A.R.; German, J.R.; Gama, L.; Zink, M.C.; Clements, J.E.; Siliciano, R.F. Severe depletion of CD4+ CD25+ regulatory T cells from the intestinal lamina propria but not peripheral blood or lymph nodes during acute simian immunodeficiency virus infection. J. Virol. 2007, 81, 12748–12757. [Google Scholar] [CrossRef] [PubMed]
  95. Qin, S.; Sui, Y.; Soloff, A.C.; Junecko, B.A.; Kirschner, D.E.; Murphey-Corb, M.A.; Watkins, S.C.; Tarwater, P.M.; Pease, J.E.; Barratt-Boyes, S.M.; et al. Chemokine and cytokine mediated loss of regulatory T cells in lymph nodes during pathogenic simian immunodeficiency virus infection. J. Immunol. 2008, 180, 5530–5536. [Google Scholar] [CrossRef] [PubMed]
  96. Vahlenkamp, T.W.; Tompkins, M.B.; Tompkins, W.A. Feline immunodeficiency virus infection phenotypically and functionally activates immunosuppressive CD4+CD25+ T regulatory cells. J. Immunol. 2004, 172, 4752–4761. [Google Scholar] [CrossRef] [PubMed]
  97. Estes, J.D.; Li, Q.; Reynolds, M.R.; Wietgrefe, S.; Duan, L.; Schacker, T.; Picker, L.J.; Watkins, D.I.; Lifson, J.D.; Reilly, C.; et al. Premature induction of an immunosuppressive regulatory T cell response during acute simian immunodeficiency virus infection. J. Infect. Dis. 2006, 193, 703–712. [Google Scholar] [CrossRef] [PubMed]
  98. Joshi, A.; Vahlenkamp, T.W.; Garg, H.; Tompkins, W.A.; Tompkins, M.B. Preferential replication of FIV in activated CD4+CD25+ T cells independent of cellular proliferation. Virology 2004, 321, 307–322. [Google Scholar] [CrossRef] [PubMed]
  99. Oswald-Richter, K.; Grill, S.M.; Shariat, N.; Leelawong, M.; Sundrud, M.S.; Haas, D.W.; Unutmaz, D. HIV infection of naturally occurring and genetically reprogrammed human regulatory T-cells. PLoS Biol. 2004, 2, E198. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  100. Moreno-Fernandez, M.E.; Zapata, W.; Blackard, J.T.; Franchini, G.; Chougnet, C.A. Human regulatory T cells are targets for human immunodeficiency Virus (HIV) infection, and their susceptibility differs depending on the HIV type 1 strain. J. Virol. 2009, 83, 12925–12933. [Google Scholar] [CrossRef] [PubMed]
  101. Abel, K.; Pahar, B.; Van Rompay, K.K.; Fritts, L.; Sin, C.; Schmidt, K.; Colon, R.; McChesney, M.; Marthas, M.L. Rapid virus dissemination in infant macaques after oral simian immunodeficiency virus exposure in the presence of local innate immune responses. J. Virol. 2006, 80, 6357–6367. [Google Scholar] [CrossRef] [PubMed]
  102. Mexas, A.M.; Fogle, J.E.; Tompkins, W.A.; Tompkins, M.B. CD4+CD25+ regulatory T cells are infected and activated during acute FIV infection. Vet. Immunol. Immunopathol. 2008, 126, 263–272. [Google Scholar] [CrossRef] [PubMed]
  103. Jiang, Q.; Zhang, L.; Wang, R.; Jeffrey, J.; Washburn, M.L.; Brouwer, D.; Barbour, S.; Kovalev, G.I.; Unutmaz, D.; Su, L. FoxP3+CD4+ regulatory T cells play an important role in acute HIV-1 infection in humanized Rag2−/−gammaC−/− mice in vivo. Blood 2008, 112, 2858–2868. [Google Scholar] [CrossRef] [PubMed]
  104. Nilsson, J.; Boasso, A.; Velilla, P.A.; Zhang, R.; Vaccari, M.; Franchini, G.; Shearer, G.M.; Andersson, J.; Chougnet, C. HIV-1-driven regulatory T-cell accumulation in lymphoid tissues is associated with disease progression in HIV/AIDS. Blood 2006, 108, 3808–3817. [Google Scholar] [CrossRef] [PubMed]
  105. Pion, M.; Jaramillo-Ruiz, D.; Martinez, A.; Munoz-Fernandez, M.A.; Correa-Rocha, R. HIV infection of human regulatory T cells downregulates Foxp3 expression by increasing DNMT3b levels and DNA methylation in the FOXP3 gene. AIDS 2013, 27, 2019–2029. [Google Scholar] [CrossRef] [PubMed]
  106. Angin, M.; Sharma, S.; King, M.; Murooka, T.T.; Ghebremichael, M.; Mempel, T.R.; Walker, B.D.; Bhasin, M.K.; Addo, M.M. HIV-1 infection impairs regulatory T-cell suppressive capacity on a per-cell basis. J. Infect. Dis. 2014, 210, 899–903. [Google Scholar] [CrossRef] [PubMed]
  107. Fogle, J.E.; Tompkins, W.A.; Tompkins, M.B. CD4+CD25+ T regulatory cells from FIV+ cats induce a unique anergic profile in CD8+ lymphocyte targets. Retrovirology 2010, 7, 97. [Google Scholar] [CrossRef] [PubMed]
  108. Thorborn, G.S.; Pomeroy, L.; Ishohanni, H.; Peters, B.S.; Vyakarnam, A. Elevated effector cell sensitivity to Treg-cell suppression that is not associated with reduced Th17-cell expression distinguishes HIV+ asymptomatic subjects from progressors. Eur. J. Immunol. 2012, 42, 138–146. [Google Scholar] [CrossRef] [PubMed]
  109. Mikkelsen, S.R.; Reckling, S.K.; Egan, E.A.; Dean, G.A. In vivo depletion of CD4+CD25hi regulatory T cells is associated with improved antiviral responses in cats chronically infected with feline immunodeficiency virus. Virology 2010, 403, 163–172. [Google Scholar] [CrossRef] [PubMed]
  110. Moreno-Fernandez, M.E.; Presicce, P.; Chougnet, C.A. Homeostasis and function of regulatory T cells in HIV/SIV infection. J. Virol. 2012, 86, 10262–10269. [Google Scholar] [CrossRef] [PubMed]
  111. Elahi, S.; Dinges, W.L.; Lejarcegui, N.; Laing, K.J.; Collier, A.C.; Koelle, D.M.; McElrath, M.J.; Horton, H. Protective HIV-specific CD8+ T cells evade Treg cell suppression. Nat. Med. 2011, 17, 989–995. [Google Scholar] [CrossRef] [PubMed]
  112. Nikolova, M.; Wiedemann, A.; Muhtarova, M.; Achkova, D.; Lacabaratz, C.; Levy, Y. Subset- and Antigen-Specific Effects of Treg on CD8+ T Cell Responses in Chronic HIV Infection. PLoS Pathog. 2016, 12, e1005995. [Google Scholar] [CrossRef] [PubMed]
  113. Fogle, J.E.; Mexas, A.M.; Tompkins, W.A.; Tompkins, M.B. CD4+CD25+ T regulatory cells inhibit CD8+ IFN-gamma production during acute and chronic FIV infection utilizing a membrane TGF-beta-dependent mechanism. AIDS Res. Hum. Retrovir. 2010, 26, 201–216. [Google Scholar] [CrossRef] [PubMed]
  114. Petty, C.S.; Tompkins, M.B.; Tompkins, W.A. Transforming growth factor-beta/transforming growth factor-betaRII signaling may regulate CD4+CD25+ T-regulatory cell homeostasis and suppressor function in feline AIDS lentivirus infection. J. Acquir. Immune Defic. Syndr. 2008, 47, 148–160. [Google Scholar] [CrossRef] [PubMed]
  115. Miller, M.M.; Akaronu, N.; Thompson, E.M.; Hood, S.F.; Fogle, J.E. Modulating DNA methylation in activated CD8+ T cells inhibits regulatory T cell-induced binding of Foxp3 to the CD8+ T Cell IL-2 promoter. J. Immunol. 2015, 194, 990–998. [Google Scholar] [CrossRef] [PubMed]
  116. Wang, Y.; Nag, M.; Tuohy, J.L.; De Paris, K.; Fogle, J.E. T Regulatory Cell Induced Foxp3 Binds the IL2, IFNγ, and TNFα Promoters in Virus-Specific CD8+ T Cells from Feline Immunodeficiency Virus Infected Cats. AIDS Res. Hum. Retrovir. 2018, 34, 269–276. [Google Scholar] [CrossRef] [PubMed]
  117. Berger, S.L. Histone modifications in transcriptional regulation. Curr. Opin. Genet. Dev. 2002, 12, 142–148. [Google Scholar] [CrossRef]
  118. Jorgensen, S.; Schotta, G.; Sorensen, C.S. Histone H4 lysine 20 methylation: Key player in epigenetic regulation of genomic integrity. Nucleic Acids Res 2013, 41, 2797–2806. [Google Scholar] [CrossRef] [PubMed]
  119. Barski, A.; Cuddapah, S.; Cui, K.; Roh, T.Y.; Schones, D.E.; Wang, Z.; Wei, G.; Chepelev, I.; Zhao, K. High-resolution profiling of histone methylations in the human genome. Cell 2007, 129, 823–837. [Google Scholar] [CrossRef] [PubMed]
  120. Handy, D.E.; Castro, R.; Loscalzo, J. Epigenetic modifications: Basic mechanisms and role in cardiovascular disease. Circulation 2011, 123, 2145–2156. [Google Scholar] [CrossRef] [PubMed]
  121. Wagner, E.J.; Carpenter, P.B. Understanding the language of Lys36 methylation at histone H3. Nat. Rev. Mol. Cell Biol. 2012, 13, 115–126. [Google Scholar] [CrossRef] [PubMed]
  122. Evertts, A.G.; Manning, A.L.; Wang, X.; Dyson, N.J.; Garcia, B.A.; Coller, H.A. H4K20 methylation regulates quiescence and chromatin compaction. Mol. Biol. Cell 2013, 24, 3025–3037. [Google Scholar] [CrossRef] [PubMed]
  123. Blomen, V.A.; Boonstra, J. Stable transmission of reversible modifications: Maintenance of epigenetic information through the cell cycle. Cell. Mol. Life Sci. 2011, 68, 27–44. [Google Scholar] [CrossRef] [PubMed]
  124. Ng, H.H.; Zhang, Y.; Hendrich, B.; Johnson, C.A.; Turner, B.M.; Erdjument-Bromage, H.; Tempst, P.; Reinberg, D.; Bird, A. MBD2 is a transcriptional repressor belonging to the MeCP1 histone deacetylase complex. Nat. Genet. 1999, 23, 58–61. [Google Scholar] [CrossRef] [PubMed]
  125. Li, E.; Beard, C.; Jaenisch, R. Role for DNA methylation in genomic imprinting. Nature 1993, 366, 362–365. [Google Scholar] [CrossRef] [PubMed]
  126. Razin, A.; Cedar, H. DNA methylation and genomic imprinting. Cell 1994, 77, 473–476. [Google Scholar] [CrossRef]
  127. Siegfried, Z.; Cedar, H. DNA methylation: A molecular lock. Curr. Biol. 1997, 7, R305–R307. [Google Scholar] [CrossRef]
  128. Bird, A.P.; Wolffe, A.P. Methylation-induced repression—Belts, braces, and chromatin. Cell 1999, 99, 451–454. [Google Scholar] [CrossRef]
  129. Bird, A. DNA methylation patterns and epigenetic memory. Genes Dev. 2002, 16, 6–21. [Google Scholar] [CrossRef] [PubMed]
  130. Jones, P.A. Functions of DNA methylation: Islands, start sites, gene bodies and beyond. Nat. Rev. Genet. 2012, 13, 484–492. [Google Scholar] [CrossRef] [PubMed]
  131. Robertson, K.D. DNA methylation, methyltransferases, and cancer. Oncogene 2001, 20, 3139–3155. [Google Scholar] [CrossRef] [PubMed]
  132. Murphy, B.; Hillman, C.; Mok, M.; Vapniarsky, N. Lentiviral latency in peripheral CD4+ T cells isolated from feline immunodeficiency virus-infected cats during the asymptomatic phase is not associated with hypermethylation of the proviral promoter. Virus Res. 2012, 169, 117–126. [Google Scholar] [CrossRef] [PubMed]
  133. Wang, Y.; Nag, M.; Tuohy, J.L.; Fogle, J.E. Micro-RNA 10a Is Increased in Feline T Regulatory Cells and Increases Foxp3 Protein Expression Following In Vitro Transfection. Vet. Sci. 2017, 4. [Google Scholar] [CrossRef] [PubMed]
  134. Maulik, U.; Sen, S.; Mallik, S.; Bandyopadhyay, S. Detecting TF-miRNA-gene network based modules for 5hmC and 5mC brain samples: A intra- and inter-species case-study between human and rhesus. BMC Genet. 2018, 19, 9. [Google Scholar] [CrossRef] [PubMed]
  135. Simon, L.; Song, K.; Vande Stouwe, C.; Hollenbach, A.; Amedee, A.; Mohan, M.; Winsauer, P.; Molina, P. Delta9-Tetrahydrocannabinol (Delta9-THC) Promotes Neuroimmune-Modulatory MicroRNA Profile in Striatum of Simian Immunodeficiency Virus (SIV)-Infected Macaques. J. Neuroimmune Pharmacol. 2016, 11, 192–213. [Google Scholar] [CrossRef] [PubMed]
  136. Wang, X.; Xu, H. Potential Epigenetic Regulation in the Germinal Center Reaction of Lymphoid Tissues in HIV/SIV Infection. Front. Immunol. 2018, 9, 159. [Google Scholar] [CrossRef] [PubMed]
  137. Ay, E.; Banati, F.; Mezei, M.; Bakos, A.; Niller, H.H.; Buzas, K.; Minarovits, J. Epigenetics of HIV infection: Promising research areas and implications for therapy. AIDS Rev. 2013, 15, 181–188. [Google Scholar] [PubMed]
  138. Hensel, K.O.; Rendon, J.C.; Navas, M.C.; Rots, M.G.; Postberg, J. Virus-host interplay in hepatitis B virus infection and epigenetic treatment strategies. FEBS J. 2017, 284, 3550–3572. [Google Scholar] [CrossRef] [PubMed]
  139. Hundt, J.; Li, Z.; Liu, Q. Post-translational modifications of hepatitis C viral proteins and their biological significance. World J. Gastroenterol. 2013, 19, 8929–8939. [Google Scholar] [CrossRef] [PubMed]
  140. Kumar, A.; Darcis, G.; Van Lint, C.; Herbein, G. Epigenetic control of HIV-1 post integration latency: Implications for therapy. Clin. Epigenet. 2015, 7, 103. [Google Scholar] [CrossRef] [PubMed]
  141. Okamoto, Y.; Shinjo, K.; Shimizu, Y.; Sano, T.; Yamao, K.; Gao, W.; Fujii, M.; Osada, H.; Sekido, Y.; Murakami, S.; et al. Hepatitis virus infection affects DNA methylation in mice with humanized livers. Gastroenterology 2014, 146, 562–572. [Google Scholar] [CrossRef] [PubMed]
  142. Clarke, M.A.; Wentzensen, N.; Mirabello, L.; Ghosh, A.; Wacholder, S.; Harari, A.; Lorincz, A.; Schiffman, M.; Burk, R.D. Human papillomavirus DNA methylation as a potential biomarker for cervical cancer. Cancer Epidemiol. Biomark. Prev. 2012, 21, 2125–2137. [Google Scholar] [CrossRef] [PubMed]
  143. Moos, W.H.; Faller, D.V.; Glavas, I.P.; Harpp, D.N.; Irwin, M.H.; Kanara, I.; Pinkert, C.A.; Powers, W.R.; Steliou, K.; Vavvas, D.G.; et al. Epigenetic Treatment of Neurodegenerative Ophthalmic Disorders: An Eye Toward the Future. Biores. Open Access 2017, 6, 169–181. [Google Scholar] [CrossRef] [PubMed]
  144. Saunders, K.O.; Freel, S.A.; Overman, R.G.; Cunningham, C.K.; Tomaras, G.D. Epigenetic regulation of CD8+ T-lymphocyte mediated suppression of HIV-1 replication. Virology 2010, 405, 234–242. [Google Scholar] [CrossRef] [PubMed]
  145. Shimura, M.; Toyoda, Y.; Iijima, K.; Kinomoto, M.; Tokunaga, K.; Yoda, K.; Yanagida, M.; Sata, T.; Ishizaka, Y. Epigenetic displacement of HP1 from heterochromatin by HIV-1 Vpr causes premature sister chromatid separation. J. Cell Biol. 2011, 194, 721–735. [Google Scholar] [CrossRef] [PubMed]
  146. Youngblood, B.; Reich, N.O. The early expressed HIV-1 genes regulate DNMT1 expression. Epigenetics 2008, 3, 149–156. [Google Scholar] [CrossRef] [PubMed]
  147. Archin, N.M.; Espeseth, A.; Parker, D.; Cheema, M.; Hazuda, D.; Margolis, D.M. Expression of latent HIV induced by the potent HDAC inhibitor suberoylanilide hydroxamic acid. AIDS Res. Hum. Retrovir. 2009, 25, 207–212. [Google Scholar] [CrossRef] [PubMed]
  148. Archin, N.M.; Sung, J.M.; Garrido, C.; Soriano-Sarabia, N.; Margolis, D.M. Eradicating HIV-1 infection: Seeking to clear a persistent pathogen. Nat. Rev. Microbiol. 2014, 12, 750–764. [Google Scholar] [CrossRef] [PubMed]
  149. Matalon, S.; Rasmussen, T.A.; Dinarello, C.A. Histone deacetylase inhibitors for purging HIV-1 from the latent reservoir. Mol. Med. 2011, 17, 466–472. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  150. Imai, K.; Togami, H.; Okamoto, T. Involvement of histone H3 lysine 9 (H3K9) methyltransferase G9a in the maintenance of HIV-1 latency and its reactivation by BIX01294. J. Biol. Chem. 2010, 285, 16538–16545. [Google Scholar] [CrossRef] [PubMed]
  151. Rasmussen, T.A.; Schmeltz Sogaard, O.; Brinkmann, C.; Wightman, F.; Lewin, S.R.; Melchjorsen, J.; Dinarello, C.; Ostergaard, L.; Tolstrup, M. Comparison of HDAC inhibitors in clinical development: Effect on HIV production in latently infected cells and T-cell activation. Hum. Vaccin. Immunother. 2013, 9, 993–1001. [Google Scholar] [CrossRef] [PubMed]
  152. Kauder, S.E.; Bosque, A.; Lindqvist, A.; Planelles, V.; Verdin, E. Epigenetic regulation of HIV-1 latency by cytosine methylation. PLoS Pathog. 2009, 5, e1000495. [Google Scholar] [CrossRef] [PubMed]
  153. Maricato, J.T.; Furtado, M.N.; Takenaka, M.C.; Nunes, E.R.; Fincatti, P.; Meliso, F.M.; da Silva, I.D.; Jasiulionis, M.G.; Cecilia de Araripe Sucupira, M.; Diaz, R.S.; et al. Epigenetic modulations in activated cells early after HIV-1 infection and their possible functional consequences. PLoS ONE 2015, 10, e0119234. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. Mikovits, J.A.; Young, H.A.; Vertino, P.; Issa, J.P.; Pitha, P.M.; Turcoski-Corrales, S.; Taub, D.D.; Petrow, C.L.; Baylin, S.B.; Ruscetti, F.W. Infection with human immunodeficiency virus type 1 upregulates DNA methyltransferase, resulting in de novo methylation of the gamma interferon (IFN-gamma) promoter and subsequent downregulation of IFN-gamma production. Mol. Cell. Biol. 1998, 18, 5166–5177. [Google Scholar] [CrossRef] [PubMed]
  155. Nakayama-Hosoya, K.; Ishida, T.; Youngblood, B.; Nakamura, H.; Hosoya, N.; Koga, M.; Koibuchi, T.; Iwamoto, A.; Kawana-Tachikawa, A. Epigenetic repression of interleukin 2 expression in senescent CD4+ T cells during chronic HIV type 1 infection. J. Infect. Dis. 2015, 211, 28–39. [Google Scholar] [CrossRef] [PubMed]
  156. Koirala, J.; Adamski, A.; Koch, L.; Stueber, D.; El-Azizi, M.; Khardori, N.M.; Ghassemi, M.; Novak, R.M. Interferon-gamma receptors in HIV-1 infection. AIDS Res. Hum. Retrovir. 2008, 24, 1097–1102. [Google Scholar] [CrossRef] [PubMed]
  157. Youngblood, B.; Hale, J.S.; Ahmed, R. T-cell memory differentiation: Insights from transcriptional signatures and epigenetics. Immunology 2013, 139, 277–284. [Google Scholar] [CrossRef] [PubMed]
  158. Youngblood, B.; Noto, A.; Porichis, F.; Akondy, R.S.; Ndhlovu, Z.M.; Austin, J.W.; Bordi, R.; Procopio, F.A.; Miura, T.; Allen, T.M.; et al. Cutting edge: Prolonged exposure to HIV reinforces a poised epigenetic program for PD-1 expression in virus-specific CD8 T cells. J. Immunol. 2013, 191, 540–544. [Google Scholar] [CrossRef] [PubMed]
  159. Zhang, F.; Zhou, X.; DiSpirito, J.R.; Wang, C.; Wang, Y.; Shen, H. Epigenetic manipulation restores functions of defective CD8+ T cells from chronic viral infection. Mol. Ther. 2014, 22, 1698–1706. [Google Scholar] [CrossRef] [PubMed]
  160. Abdel-Hameed, E.A.; Ji, H.; Sherman, K.E.; Shata, M.T. Epigenetic modification of FOXP3 in patients with chronic HIV infection. J. Acquir. Immune Defic. Syndr. 2014, 65, 19–26. [Google Scholar] [CrossRef] [PubMed]
  161. Kepp, O.; Menger, L.; Vacchelli, E.; Adjemian, S.; Martins, I.; Ma, Y.; Sukkurwala, A.Q.; Michaud, M.; Galluzzi, L.; Zitvogel, L.; et al. Anticancer activity of cardiac glycosides: At the frontier between cell-autonomous and immunological effects. Oncoimmunology 2012, 1, 1640–1642. [Google Scholar] [CrossRef] [PubMed]
  162. Trautmann, L.; Janbazian, L.; Chomont, N.; Said, E.A.; Gimmig, S.; Bessette, B.; Boulassel, M.R.; Delwart, E.; Sepulveda, H.; Balderas, R.S.; et al. Upregulation of PD-1 expression on HIV-specific CD8+ T cells leads to reversible immune dysfunction. Nat. Med. 2006, 12, 1198–1202. [Google Scholar] [CrossRef] [PubMed]
  163. Jones, R.B.; Mueller, S.; O’Connor, R.; Rimpel, K.; Sloan, D.D.; Karel, D.; Wong, H.C.; Jeng, E.K.; Thomas, A.S.; Whitney, J.B.; et al. A Subset of Latency-Reversing Agents Expose HIV-Infected Resting CD4+ T-Cells to Recognition by Cytotoxic T-Lymphocytes. PLoS Pathog. 2016, 12, e1005545. [Google Scholar] [CrossRef] [PubMed]
  164. Rhode, P.R.; Egan, J.O.; Xu, W.; Hong, H.; Webb, G.M.; Chen, X.; Liu, B.; Zhu, X.; Wen, J.; You, L.; et al. Comparison of the Superagonist Complex, ALT-803, to IL15 as Cancer Immunotherapeutics in Animal Models. Cancer Immunol. Res. 2016, 4, 49–60. [Google Scholar] [CrossRef] [PubMed]
  165. Zarogoulidis, P.; Lampaki, S.; Yarmus, L.; Kioumis, I.; Pitsiou, G.; Katsikogiannis, N.; Hohenforst-Schmidt, W.; Li, Q.; Huang, H.; Sakkas, A.; et al. Interleukin-7 and interleukin-15 for cancer. J. Cancer 2014, 5, 765–773. [Google Scholar] [CrossRef] [PubMed]
  166. Trickett, A.E.; Kwan, Y.L.; Cameron, B.; Dwyer, J.M. Ex vivo expansion of functional T lymphocytes from HIV-infected individuals. J. Immunol. Methods 2002, 262, 71–83. [Google Scholar] [CrossRef]
  167. Butler, M.O.; Imataki, O.; Yamashita, Y.; Tanaka, M.; Ansen, S.; Berezovskaya, A.; Metzler, G.; Milstein, M.I.; Mooney, M.M.; Murray, A.P.; et al. Ex vivo expansion of human CD8+ T cells using autologous CD4+ T cell help. PLoS ONE 2012, 7, e30229. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  168. Hale, M.; Mesojednik, T.; Romano Ibarra, G.S.; Sahni, J.; Bernard, A.; Sommer, K.; Scharenberg, A.M.; Rawlings, D.J.; Wagner, T.A. Engineering HIV-Resistant, Anti-HIV Chimeric Antigen Receptor T Cells. Mol. Ther. 2017, 25, 570–579. [Google Scholar] [CrossRef] [PubMed]
  169. Agarwal, P.; Raghavan, A.; Nandiwada, S.L.; Curtsinger, J.M.; Bohjanen, P.R.; Mueller, D.L.; Mescher, M.F. Gene regulation and chromatin remodeling by IL-12 and type I IFN in programming for CD8 T cell effector function and memory. J. Immunol. 2009, 183, 1695–1704. [Google Scholar] [CrossRef] [PubMed]
Figure 1. CD8+ T cell response to human immunodeficiency virus (HIV)/simian immunodeficiency virus (SIV)/feline immunodeficiency virus (FIV) infection. Part 1: Interaction of a professional antigen presenting cell (APC), e.g., dendritic cells, with a CD8+ T cell during lentivirus infection. The APCs present the viral antigens on the surface via major histocompatibility complex (MHC) Class I molecules for recognition by the T-cell receptor (TCR) on CD8+ T cells. Three signals are needed for CD8+ T cell activation. The first signal is provided by the engagement of the CD8+ TCR with MHC Class I on the APC cell surface presenting the viral peptide. The second signal is provided by the engagement of co-stimulatory molecules, here CD28, on the CD8+ T cells with CD80 (B7.1) on the APCs. Cytokines provide the third signal required for T cell proliferation. As the CD8+ T cells become activated, they also begin upregulating cytotoxic T lymphocyte-associated molecule (CTLA)-4. CTLA-4 binding with CD86 (B7.2) on APCs delivers an inhibitory signal to maintain immune homeostasis. Part 2: Upon CD8+ T cell activation, the chromatin within the nucleus “relaxes” into euchromatin conformation to allow the binding of various factors of the transcriptional machinery. Chromatin remodeling enzymes such as histone acetyltransferases (HAT), histone methyltransferases (HMTs), DNA methyltransferases (DNMTs) and histone lysine methyltransferases (HKMTs) alter the accessibility of chromatin at specific sites based on the signals provided to direct the specific response. During HIV infection, “relaxed” chromatin in gene promoter regions allows for the active transcription of antiviral genes such interleukin (IL)-2, interferon (IFN)-γ, tumor necrosis factor (TNF)-α, perforin and granzyme β. Part 3 illustrates the interaction of activated HIV-specific CD8+ T cells with productively HIV-infected CD4+ T cells. Upon recognition, the infected CD4+ T cells undergo lysis and apoptosis due to the action of perforin, granzyme β, chemokines, IFN-γ and TNF-α. IL-2 expressed by activated CD8+ T cells aids in T cell proliferation. Despite a robust HIV-specific CD8+ T cell response in the acute phase, latently infected CD4+ T cells escape immune recognition and may become reactivated later during the infection. Effective reactivation and elimination of these latently infected cells is one of the major obstacles to HIV cure.
Figure 1. CD8+ T cell response to human immunodeficiency virus (HIV)/simian immunodeficiency virus (SIV)/feline immunodeficiency virus (FIV) infection. Part 1: Interaction of a professional antigen presenting cell (APC), e.g., dendritic cells, with a CD8+ T cell during lentivirus infection. The APCs present the viral antigens on the surface via major histocompatibility complex (MHC) Class I molecules for recognition by the T-cell receptor (TCR) on CD8+ T cells. Three signals are needed for CD8+ T cell activation. The first signal is provided by the engagement of the CD8+ TCR with MHC Class I on the APC cell surface presenting the viral peptide. The second signal is provided by the engagement of co-stimulatory molecules, here CD28, on the CD8+ T cells with CD80 (B7.1) on the APCs. Cytokines provide the third signal required for T cell proliferation. As the CD8+ T cells become activated, they also begin upregulating cytotoxic T lymphocyte-associated molecule (CTLA)-4. CTLA-4 binding with CD86 (B7.2) on APCs delivers an inhibitory signal to maintain immune homeostasis. Part 2: Upon CD8+ T cell activation, the chromatin within the nucleus “relaxes” into euchromatin conformation to allow the binding of various factors of the transcriptional machinery. Chromatin remodeling enzymes such as histone acetyltransferases (HAT), histone methyltransferases (HMTs), DNA methyltransferases (DNMTs) and histone lysine methyltransferases (HKMTs) alter the accessibility of chromatin at specific sites based on the signals provided to direct the specific response. During HIV infection, “relaxed” chromatin in gene promoter regions allows for the active transcription of antiviral genes such interleukin (IL)-2, interferon (IFN)-γ, tumor necrosis factor (TNF)-α, perforin and granzyme β. Part 3 illustrates the interaction of activated HIV-specific CD8+ T cells with productively HIV-infected CD4+ T cells. Upon recognition, the infected CD4+ T cells undergo lysis and apoptosis due to the action of perforin, granzyme β, chemokines, IFN-γ and TNF-α. IL-2 expressed by activated CD8+ T cells aids in T cell proliferation. Despite a robust HIV-specific CD8+ T cell response in the acute phase, latently infected CD4+ T cells escape immune recognition and may become reactivated later during the infection. Effective reactivation and elimination of these latently infected cells is one of the major obstacles to HIV cure.
Viruses 10 00227 g001
Figure 2. Persistent antigenic stimulation results in CD8+ T cell dysfunction during chronic HIV infection. Figure 2A illustrates three mechanisms of CD8+ T cell dysfunction during chronic HIV infection. Part 1: Upregulation of inhibitory surface markers such as programmed cell death (PD)-1, cytotoxic T lymphocyte-associated molecule (CTLA)-4, T-cell immunoglobulin and mucin-domain containing (TIM)-3, T-cell immunoreceptor with IgG and ITIM domains (TIGIT) and Fas-L that inhibit effective CD8+ T cell activation. Part 2: Treg-mediated suppression. Treg-mediated suppression has been observed in HIV-patients, SIV-infected macaques and in FIV-infected cats. Our lab, using the FIV model of HIV infection, has demonstrated that lentivirus-activated Treg cells upregulate membrane-bound tumor growth factor (TGF)-β which ligates the TGF-βRII on activated CD8+ T cells. This ligation leads to downstream phosphorylation of the Smad complex, resulting in its nuclear translocation. In addition, CD8+ T cell activation and signaling via the TCR and CD28 co-stimulatory molecule promotes the co-operation of nuclear factor of activated T-cells (NFAT): activator protein (AP)-1 within the nucleus, an interaction required for gene activation in T cells. Smad complexes coupled with NFAT:AP-1 binding at the forkhead box P3 (Foxp3) promoter results in the induction of the repressive transcription factor Foxp3. Foxp3 induction in CD8+ T cells can also be induced by exogenous addition of TGF-β1 if simultaneous TCR activation via anti-CD3/anti-CD28 occurs. Part 3: Epigenetic modulation of antiviral cytokine genes and their regulatory regions. As a result of CD8+ T cell activation (see Figure 1, Part 2), antiviral cytokine promoters are “relaxed”. This open conformation allows repressive transcription factors such as Foxp3 to bind and thereby suppress the transcription of IL-2, IFN-γ and TNF-α as shown in Figure 2B.
Figure 2. Persistent antigenic stimulation results in CD8+ T cell dysfunction during chronic HIV infection. Figure 2A illustrates three mechanisms of CD8+ T cell dysfunction during chronic HIV infection. Part 1: Upregulation of inhibitory surface markers such as programmed cell death (PD)-1, cytotoxic T lymphocyte-associated molecule (CTLA)-4, T-cell immunoglobulin and mucin-domain containing (TIM)-3, T-cell immunoreceptor with IgG and ITIM domains (TIGIT) and Fas-L that inhibit effective CD8+ T cell activation. Part 2: Treg-mediated suppression. Treg-mediated suppression has been observed in HIV-patients, SIV-infected macaques and in FIV-infected cats. Our lab, using the FIV model of HIV infection, has demonstrated that lentivirus-activated Treg cells upregulate membrane-bound tumor growth factor (TGF)-β which ligates the TGF-βRII on activated CD8+ T cells. This ligation leads to downstream phosphorylation of the Smad complex, resulting in its nuclear translocation. In addition, CD8+ T cell activation and signaling via the TCR and CD28 co-stimulatory molecule promotes the co-operation of nuclear factor of activated T-cells (NFAT): activator protein (AP)-1 within the nucleus, an interaction required for gene activation in T cells. Smad complexes coupled with NFAT:AP-1 binding at the forkhead box P3 (Foxp3) promoter results in the induction of the repressive transcription factor Foxp3. Foxp3 induction in CD8+ T cells can also be induced by exogenous addition of TGF-β1 if simultaneous TCR activation via anti-CD3/anti-CD28 occurs. Part 3: Epigenetic modulation of antiviral cytokine genes and their regulatory regions. As a result of CD8+ T cell activation (see Figure 1, Part 2), antiviral cytokine promoters are “relaxed”. This open conformation allows repressive transcription factors such as Foxp3 to bind and thereby suppress the transcription of IL-2, IFN-γ and TNF-α as shown in Figure 2B.
Viruses 10 00227 g002
Figure 3. Proposed mechanism of epigenetic modulation to boost antiviral function of CD8+ T cells. In the FIV model, Treg-induced Foxp3 suppresses CD8+ T cell function by directly binding to the of IL-2, IFN-γ and TNF-α promoter regions. We have demonstrated that by blocking DNA de-methylation and histone acetylation using DNMT and HAT inhibitors respectively, Foxp3 binding to the IL-2 promoter is reduced. These data suggest that epigenetic modulations of dysfunctional CD8+ T cells can alleviate Foxp3-mediated suppression. We propose that these rescued CD8+ T cells, when stimulated, can restore their antiviral function and effectively eliminate reactivated virally infected cells. Other strategies to boost CD8+ T cell function include checkpoint inhibitors, immunotherapy with HIV-CAR T cells, and the use of stimulatory cytokines such as IL-15 and IL-2.
Figure 3. Proposed mechanism of epigenetic modulation to boost antiviral function of CD8+ T cells. In the FIV model, Treg-induced Foxp3 suppresses CD8+ T cell function by directly binding to the of IL-2, IFN-γ and TNF-α promoter regions. We have demonstrated that by blocking DNA de-methylation and histone acetylation using DNMT and HAT inhibitors respectively, Foxp3 binding to the IL-2 promoter is reduced. These data suggest that epigenetic modulations of dysfunctional CD8+ T cells can alleviate Foxp3-mediated suppression. We propose that these rescued CD8+ T cells, when stimulated, can restore their antiviral function and effectively eliminate reactivated virally infected cells. Other strategies to boost CD8+ T cell function include checkpoint inhibitors, immunotherapy with HIV-CAR T cells, and the use of stimulatory cytokines such as IL-15 and IL-2.
Viruses 10 00227 g003
Table 1. Summary of epigenetic histone modifications and their effect on gene expression [118,119,120,121,122].
Table 1. Summary of epigenetic histone modifications and their effect on gene expression [118,119,120,121,122].
Histone/Position/ModificationLocationEffectEnzyme
H3K4me2 Gene activationSet1, MLL, Set7/9, SMYD3, LSD1, JAR1D1A
H3K4me35′ End of transcriptionally active genesGene activationSet1, MLL, Set7/9, SMYD3, JAR1D1A
H3K9meEuchromatinGene silencingG9a; Suv91, StB1, PRD14, CLL8, GLP, Suv39h1, Suv39h2
H3K9me2EuchromatinGene silencingG9a; Suv91, StB1, PRD14, CLL8, GLP, Suv39h1, Suv39h2, JMJD2A
H3K9me3Promoters and heterochromatin, Gene coding regionGene silencing
Gene activation
G9a; Suv91, StB1, PRD14, CLL8, GLP, Suv39h1, Suv39h2, JMJD2A
H3K27me1HeterochromatinGene activation
H3K27me2/3Inactive-X chromosome, homeotic genesGene silencingEZH2
H3K36mePromoterNot well characterizedJHDM1A
H3K36me2Near double strand breaks, for repairGene silencingNSD1, JMJD2A, JHDM1A
H3K36me33′ End of active genes. Marks exons.Gene activationJMJD2A
H3K79me2 Gene activationDot1L
H3K79me3 Gene activationDot1L
H4K20me1Cell cycle regulation, present at active promotersGene activationSET8/PR-Set7
H4K20me2Heterochromatin, marks origin for replication, DNA damage responseGene silencingNSD1, Suv4-20h1, Suv4-20H2, Set8/PR-SET7
H4K20me3Heterochromatin, at promotersGene silencingNSD1, Suv4-20h1, Suv4-20H2, Set8/PR-SET7

Share and Cite

MDPI and ACS Style

Nag, M.; De Paris, K.; E. Fogle, J. Epigenetic Modulation of CD8+ T Cell Function in Lentivirus Infections: A Review. Viruses 2018, 10, 227. https://doi.org/10.3390/v10050227

AMA Style

Nag M, De Paris K, E. Fogle J. Epigenetic Modulation of CD8+ T Cell Function in Lentivirus Infections: A Review. Viruses. 2018; 10(5):227. https://doi.org/10.3390/v10050227

Chicago/Turabian Style

Nag, Mukta, Kristina De Paris, and Jonathan E. Fogle. 2018. "Epigenetic Modulation of CD8+ T Cell Function in Lentivirus Infections: A Review" Viruses 10, no. 5: 227. https://doi.org/10.3390/v10050227

APA Style

Nag, M., De Paris, K., & E. Fogle, J. (2018). Epigenetic Modulation of CD8+ T Cell Function in Lentivirus Infections: A Review. Viruses, 10(5), 227. https://doi.org/10.3390/v10050227

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop