Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Aug 29.
Published in final edited form as: J Life Sci (Westlake Village). 2019 Jun;1(1):4–37.

Immune Control of HIV

Muthukumar Balasubramaniam 1,2,*, Jui Pandhare 1,3, Chandravanu Dash 1,2,3,*
PMCID: PMC6714987  NIHMSID: NIHMS1044795  PMID: 31468033

Abstract

The human immunodeficiency virus (HIV) infection of the immune cells expressing the cluster of differentiation 4 cell surface glycoprotein (CD4+ cells) causes progressive decline of the immune system and leads to the acquired immunodeficiency syndrome (AIDS). The ongoing global HIV/AIDS pandemic has already claimed over 35 million lives. Even after 37 years into the epidemic, neither a cure is available for the 37 million people living with HIV (PLHIV) nor is a vaccine discovered to avert the millions of new HIV infections that continue to occur each year. If left untreated, HIV infection typically progresses to AIDS and, ultimately, causes death in a majority of PLHIV. The recommended combination antiretroviral therapy (cART) suppresses virus replication and viremia, prevents or delays progression to AIDS, reduces transmission rates, and lowers HIV-associated mortality and morbidity. However, because cART does not eliminate HIV, and an enduring pool of infected resting memory CD4+ T cells (latent HIV reservoir) is established early on, any interruption to cART leads to a relapse of viremia and disease progression. Hence, strict adherence to a life-long cART regimen is mandatory for managing HIV infection in PLHIV. The HIV-1-specific cytotoxic T cells expressing the CD8 glycoprotein (CD8+ CTL) limit the virus replication in vivo by recognizing the viral antigens presented by human leukocyte antigen (HLA) class I molecules on the infected cell surface and killing those cells. Nevertheless, CTLs fail to durably control HIV-1 replication and disease progression in the absence of cART. Intriguingly, <1% of cART-naive HIV-infected individuals called elite controllers/HIV controllers (HCs) exhibit the core features that define a HIV-1 “functional cure” outcome in the absence of cART: durable viral suppression to below the limit of detection, long-term non-progression to AIDS, and absence of viral transmission. Robust HIV-1-specific CTL responses and prevalence of protective HLA alleles associated with enduring HIV-1 control have been linked to the HC phenotype. An understanding of the molecular mechanisms underlying the CTL-mediated suppression of HIV-1 replication and disease progression in HCs carrying specific protective HLA alleles may yield promising insights towards advancing the research on HIV cure and prophylactic HIV vaccine.

Keywords: HIV, PLHIV, AIDS, cART, CD4+ T cells, CD8+ T cells, Latency, HLA, CTL, Functional cure, HIV controllers, Elite Controllers

INTRODUCTION

The human immunodeficiency virus (HIV) targets immune cells expressing the cluster of differentiation 4 cell surface glycoprotein (CD4+ cells), which include T cells [13], macrophages [47], and dendritic cells [810], and establishes a permanent infection by inserting the double-stranded DNA copy (vDNA) of its RNA genome into the target cell chromosome [11]. The chromosomally-integrated vDNA (termed “provirus”) persists for the lifetime of the host cell and gives rise to progeny viruses. If left untreated, in majority of HIV-infected individuals (chronic progressors, CPs), continuous production of progeny virus from the provirus causes de novo infections and target cell death [1214]. The resulting progressive failure of the immune system leads to the development of acquired immunodeficiency syndrome (AIDS) and, ultimately, death [15]. Consequently, HIV has already claimed over 35 million lives due to AIDS-related opportunistic infections and cancers. There are two types of HIV: type 1 (HIV-1) and type 2 (HIV-2) [16, 17]. The HIV-1, which accounts for over 95% infections worldwide, is the virus responsible for the ongoing HIV/AIDS pandemic, whereas the relatively less pathogenic HIV-2 is endemic to West Africa. The lack of an effective preventive HIV vaccine [1820], despite decades of intense research, is resulting in millions of new HIV infections every year; globally, 1.8 million people were infected with HIV in 2017.

Antiretroviral drugs (ARVs) that target and inhibit the function of specific HIV-1 proteins and, consequently, certain stages of virus life cycle are currently the only treatment option for the 37 million people living with HIV (PLHIV) [21]. The standard of care is a combination antiretroviral therapy (cART) involving a cocktail of ARVs aimed to manage pre-existing or minimize post-therapy emergence of drug-resistant viral strains [2227], which result from the low fidelity HIV-1 replication process and/or host factor-induced mutations in viral genome [2830]. Since its introduction in 1996, cART has been highly effective in suppressing HIV-1 replication, impeding disease progression, partially preserving or restoring the immune competence, and minimizing the risk of transmission [3133]. Yet, cART blocks only the de novo infection of susceptible cells, but not the virus production from proviruses in the infected cells. Aggravatingly, a population of long-lived resting memory CD4+ T cells (rCD4s) harboring transcriptionally silent, and consequently non-replicating, provirus (latent HIV reservoir) is established very early in HIV-1 infection [3437]. The cART does not eliminate the provirus [38], and hence any interruption of cART leads to rapid resumption of HIV-1 replication within days to weeks [39, 40]. Therefore, cART is not curative and must be administered uninterrupted for life. HIV-1-specific cytotoxic T-lymphocytes (CTL) expressing the cluster of differentiation 8 cell surface glycoprotein (CD8+) represent the most critical host immune response limiting HIV-1 replication in vivo [41]. The CTLs eliminate HIV-infected cells by first recognizing specific viral peptides presented by human leukocyte antigen (HLA) class I molecules on the cell surface and then activating effector mechanisms that cause cell killing. Nevertheless, in the case of untreated CPs, CTLs fail to durably control virus replication and prevent progression to AIDS. This failure of the CTL-mediated viral control stems from a combination of viral strategies designed to pre-empt or evade the CTL response. Prominent among them is the establishment of latent HIV reservoirs that are deficient in viral antigen production and hence are impervious to CTL-mediated immune responses [42]. Therefore, the latent HIV reservoirs present the greatest barrier to HIV cure [43].

Disconcertingly, 37 years into the epidemic, no curative treatment is currently available for the 37 million PLHIV. Consequently, close to a million people continue to die of AIDS-related illnesses every year. The “HIV care continuum”- a framework outlining the recommended steps of medical care for PLHIV, entails testing and diagnosis, linkage to and retention in clinical care, initiation of and adherence to cART, and viral suppression [44, 45]. However, 1 in 4 of the PLHIV (i.e. over 9 million individuals) are unaware of their HIV-1 status, and only around 60% of the PLHIV (~21 million individuals) are currently accessing cART. Further, two-thirds of the PLHIV (over 25 million individuals) reside in resource-limited settings of sub-Saharan Africa, which presents significant barriers to effective implementation of the HIV care continuum. Therefore, the HIV/AIDS pandemic is likely to continue to be a significant public health crisis in the foreseeable future for the following reasons: (1) requirement of and strict adherence to life-long cART regimen, even in the face of significant long-term side effects, (2) increasing rates of comorbid non-AIDS-related diseases (cardiovascular, liver, kidney) and disorders (neurocognitive) in PLHIV due to persistent and elevated immune activation and inflammation despite cART-induced viral suppression, and (3) the uncertainty of the timeline, let alone the prospects, of the availability of effective, viable, and scalable curative strategies targeting HIV. Hence, despite the associated scientific and logistical challenges, it is imperative that the scientific community and the funding agencies pursue the path towards developing curative strategies to tackle HIV [46].

Remarkably, the HIV-1 replication is robustly and durably suppressed, the viral load is maintained below the clinical detection limit, and the disease progression is prevented over long-term in a small subset (<1%) of untreated (cART-naïve) HIV-infected individuals called elite controllers/HIV controllers (HCs) [47, 48]. Despite the reported genetic and immunologic heterogeneity amongst HCs, robust HIV-1-specific CTL responses have been demonstrated to play a key role in controlling HIV-1 infection in HCs. Further, certain HLA alleles associated with enduring control of HIV-1 replication and long-term non-progression to AIDS are prevalent in HCs, whose CTLs display superior functional avidity (ability to recognize very low concentrations of HIV-specific antigens) and polyfunctionality (ability to secrete multiple cytokines) in countering HIV-infected cells. This illustrates that the human immune response, albeit in select human population, can mount a robust and enduring control of HIV-1 replication and prevent progression to AIDS, even in the absence of cART. Because HCs exhibit the core features that define a HIV-1 “functional cure” outcome, i.e. durable suppression of viral replication, absence of viral transmission, and non-progression to AIDS- all in the absence of cART, they have been proposed as a model for HIV cure research.

This review is directed at a broader readership in life sciences with the primary aim of providing an overview of the evolving challenges and opportunities in the ongoing research activities directed towards HIV cure. In this review, we start by drawing the reader’s attention to the origin and types of HIV because any discussion on HIV cure or elimination at the clinical or population level must be cognizant of the existence of animal reservoirs (40 different simian immune deficiency viruses, two of which gave rise to HIV) [16, 49, 50], and the clinically-significant HIV subtype-specific variances in the HIV pathogenesis, transmission, and drug resistance [5154]. We then provide a primer on the architecture, genome, and proteome of HIV-1, an outline of the HIV-1 replication cycle in the host cell, and a rundown on HIV-1 pathogenesis, so as to highlight how the virus make-up, replication strategy, and pathogenesis is geared towards establishing a permanent and immune-evasive infection in the host. The overviews of the HIV-1 latency, the ongoing research on HIV-1 cur , and the HIV-specific CTL response are leads to the discussion about how specific HLA alleles in the HCs contribute to the CTL-mediated durable suppression of virus replication and disease progression, and how a better understanding of the underlying molecular mechanisms may help advance scientific research efforts towards an HIV cure.

ORIGIN AND TYPES OF HIV

AIDS was diagnosed and recognized as a new disease in 1981 in the USA [55, 56] with the subsequent discovery of HIV-1 as the causative agent in 1983 [57]. The two types of HIV identified to date, HIV-1 and HIV-2, display similar morphology, tropism, and modes of transmission; however, they are genetically and antigenically divergent [58, 59]. HIV-1 is responsible for over 95% infections worldwide, and the different strains of HIV-1 are classified into four groups: major (M), non-outlier (N), outlier (O), and P [6063]. The group M HIV-1 is the predominant circulating strain responsible for >90% infections worldwide, and hence, for the global HIV/AIDS epidemic; viruses belonging to the other three groups are endemic in certain African countries and cause fewer infections. HIV arose from cross-species zoonotic transmissions of simian immunodeficiency viruses (SIV) from monkeys to great apes and ultimately to humans [16, 64, 65]. Four independent cross-species transmissions of SIV from chimpanzees (SIVcpz) or gorillas (SIVgor) to humans gave rise to the four HIV-1 groups: M and N from SIVcpz, and O and P from SIVgor. Notably, the pandemic HIV-1 group M strain arose in Cameroon almost a century ago from a single transmission event involving an SIVcpz-infected chimpanzee and a human. The group M strains are further classified into nine subtypes (A, B, C, D, F, G, H, J, and K); each subtype is genetically distinct but phylogenetically equidistant from each other. Two or more of these subtypes can further recombine their genetic material to generate mosaic strains known as circulating recombinant forms (CRFs); around 97 CRFs have been reported to date. The globally dominant HIV-1 subtype C accounts for nearly 50% infections worldwide and is concentrated in Southern Africa and India. The HIV-1 subtype B is dominant in the Americas, Western Europe, and Australasia, and accounts for around 10% global infections. Unlike HIV-1, HIV-2 is largely endemic in West Africa [16, 66, 67], although the virus has spread to other parts of world in the past decade [17]. Approximately 1-2 million of the PLHIV are infected with HIV-2. The different strains of HIV-2 are classified into nine different groups-A to I, which arose from nine independent cross-species transmission events involving the SIV from sooty mangabey monkeys (SIVsmm). Relative to HIV-1 infection, HIV-2 infection is generally marked by lower viral load, longer asymptomatic period, slower target cell depletion and disease progression, and lower transmission rates [6875]. However, in the absence of cART, HIV-2 infection eventually leads to AIDS and, ultimately, death [76].

HIV-1 ARCHITECTURE, GENOME, AND PROTEOME

The infectious HIV-1 (virion) is a spherical-shaped particle measuring ~120 nm in diameter and consisting of an outer host cell-derived lipid bilayer membrane and an inner core [77]. The viral core comprises of a conical-shaped protein shell termed capsid [78] that encases a ribonucleoprotein (RNP) complex of two non-covalently attached copies of the ~9.7 kb-sized positive-sense single-stranded (ss) viral RNA genome (vRNA), certain viral and host proteins, and the host cellular tRNALys [79]. The highly structured vRNA harbors several cis-acting structural elements and nine open-reading frames (ORF) [80]. The three major ORFs- gag, pol, and env, code for the polyprotein precursors of structural proteins [matrix (MA), capsid (CA), nucleocapsid (NC), and p6], enzymes [protease (PR), reverse transcriptase (RT), and integrase (IN)], and envelope proteins [glycoprotein 120 (gp120) and glycoprotein 41 (gp41)], respectively. The remaining six ORFs encode regulatory [trans-activator of transcription protein (tat) and regulator of expression of viral proteins (Rev)] or accessory [negative factor (Nef), viral protein R (Vpr), viral protein U (Vpu), and virion infectivity factor (Vif)] viral proteins. These viral proteins are synthesized only after the DNA copy of the HIV genome is integrated into the host chromosome and then transcribed into viral mRNAs. The polymorphic capsid is composed of ~200-250 hexamers and 12 pentamers of the 24 kDa CA protein, and contains multiple copies of RT, IN, PR, NC, MA, and Vpr [81]. Approximately 7-14 Env spikes, each comprised of three copies of non-covalently linked heterodimers of viral gp120 and gp41, are anchored in the outer viral membrane [8284]. The Env spike determines the HIV-1 target cell tropism, i.e. CD4+ cells [8588] and, being the only viral protein exposed on the surface of the virus particle, is the primary target of the neutralizing antibodies [20, 8993].

HIV-1 REPLICATION

HIV-1 primarily targets and infects the CD4+ T helper cells, macrophages, and dendritic cells in humans. HIV-1 replication in target cells is broadly categorized into two phases: early and late [94]. Besides the virus-encoded proteins, HIV-1 is extensively dependent on the host cell machinery and proteins for productive replication [95]. Remarkably, over 2000 host cellular proteins, termed host-dependency factors (HDFs), have been implicated in HIV-1 replication cycle [96]. Conversely, HIV-1 also employs its genome and proteome to effectively thwart the barriers imposed by host-encoded restriction factors [97]. The early phase begins with the Env-mediated adhesion of the virus particle onto certain cell attachment factors present on the surface of the target cells. The viral Env has been shown to adhere to the heparan sulfate proteoglycans on macrophages [98], α4β7 integrin on T cells [99, 100], and dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin (DC-SIGN) on dendritic cells [101, 102]. This enables the viral surface subunit protein gp120 to sequentially bind to the CD4 receptor [85, 87] and one of the chemokine receptors, C-C chemokine receptor type 5 (CCR5)- the preferred coreceptor of the transmitted form of HIV-1, or C-X-C chemokine receptor type 4 (CXCR4), on the target cell surface [103106]. The ensuing conformational changes in the Env spike triggers the viral transmembrane protein gp41 to drive the fusion of the viral and cellular membranes, thus leading to the release of the viral core into the target cell cytoplasm [107]. This initiates the subsequent series of events of the early phase: reverse transcription, nuclear entry, and integration.

The capsid, by itself or by recruiting cellular cofactors, is being recognized as the master regulator of the early phase of viral replication [108111]. The reverse transcription process- a defining feature of the replication of retroviruses such as HIV, takes place within the confines of the capsid in the cytoplasm, potentially to avoid exposure of the vRNA and/or the vDNA to the innate immune sensors [112114]. Reverse transcription occurs in the context of a ribonucleoprotein complex of vRNA, viral proteins, and host factors-termed reverse transcription complex (RTC). The RT enzyme uses the host cellular tRNALys to prime the reverse transcription of the vRNA into a double-stranded DNA copy (vDNA) containing long terminal repeat (LTR) sequences at the 5’ and 3’ ends [115]. Importantly, the tendency of the RT to accommodate transfers of the growing DNA strand between the two copies of the vRNA during the reverse transcription process leads to the generation of recombinant progeny viruses. The capsid-binding cellular cofactor cyclophilin A (CypA) has been demonstrated to promote the viral reverse transcription process in a target cell type-dependent manner [116, 117]. Subsequently, the RTC transitions into another nucleoprotein complex termed pre-integration complex (PIC), and the PIC-resident vDNA LTR ends are bound by the viral IN enzyme molecules [118]. The PIC, in concert with capsid and cellular cofactors, orchestrates the nuclear entry and integration of the vDNA into the host chromosome [119122]. As a member of the lentivirus genus of retroviruses, HIV-1 can infect both dividing (activated CD4+ T cells) and non-dividing (macrophages and quiescent T cells) target cells. Because an intact capsid is too big (~60 nm in diameter at the broad end of the cone) to navigate the nuclear pore complex (NPC, ~40 nm in diameter at the central opening) [123], the reverse transcription process was generally considered to be synchronized with the disassembly of the capsid (aka uncoating) in the cytoplasm [124]. However, accumulating evidence suggest that uncoating may also occur at the NPC and/or in the nucleoplasm; the latter scenario likely involves capsid and/or NPC remodeling [125, 126]. For instance, the capsid-binding host proteins CypA, Nucleoporin 153 (Nup153), Nucleoporin 358 (Nup358), and, more recently, cleavage and polyadenylation specificity factor 6 (CPSF6) have been demonstrated to facilitate the viral nuclear entry [116, 126129]. Once inside the nucleus, the PIC-resident viral IN, in concert with host factors such as the CA-recruited CPSF6 [130] and the IN-recruited lens epithelium-derived growth factor (LEDGF/p75) [131133], mediates the preferential integration of the vDNA into transcriptionally active gene-dense regions of the human chromosomal DNA [11, 134138]. The integrated vDNA (provirus) persists for the life of the cell [11]. The establishment of the provirus culminates the early phase of HIV replication.

In the late phase of HIV-1 replication, the proviral DNA may be transcribed by the cellular transcriptional machinery or, under certain circumstances, remain silent (latent provirus) [139]. After transcription and posttranscriptional processing, the completely spliced viral mRNAs are transported to the cytoplasm by the canonical host exportin 1 (XPO1)-RanGTP nuclear export pathway, whereas the transport of the unspliced full-length and partially spliced viral mRNAs is facilitated by the viral Rev protein in concert with XPO1-RanGTP [140]. In the cytoplasm, the viral mRNAs are translated into polyprotein precursors [Pr55Gag, Pr160GagPol, and gp160], regulatory proteins (Rev and Tat), and accessory proteins (Nef, Vif, Vpu, and Vpr). Next, the viral proteins and full-length vRNAs needed for the generation of progeny virus traffic to the virus assembly site (typically, the plasma membrane) where the Gag protein binds to the membrane via its MA domain, dimerizes via it CA domain, and coordinates the assembly of an immature virus particle bound by the cell membrane [141143]. The Gag NC domain binds to the packaging signal (ψ) sequence of two copies of full-length vRNA and ensures their packaging into assembling virus particle. The cell membrane enclosing the nascent virus particle is embedded with trimeric complexes of non-covalently linked heterodimers of the viral gp120 and gp41 proteins that are derived from the viral gp160 protein by the action of cellular endopeptidases [144]. This non-infectious immature virus particle is then released from the producer cell by the action of the Gag p6 domain-recruited cellular endosomal sorting complexes required for transport (ESCRT) machinery. During the concomitant viral maturation process, the viral PR enzyme, itself encoded as part of the Gag-Pol, first matures via auto-processing and subsequently processes the Gag into MA, CA, NC, and p6, and the Gag-Pol into RT and IN, mature functional proteins [145]. The resulting mature infectious virus particle is termed virion, the transmission of which, as a cell-free virus particle or via cell-cell contacts, to a new target cell leads to the establishment of a new infection [146, 147].

HIV-1 PATHOGENESIS

HIV-1 transmission at the mucosal membrane- the main portal of virus entry, generally results from a single free or cell-bound virion (transmitted/founder virus) infecting a single target cell [147150]. The current understanding of the earliest events during acute HIV-1 infection in vivo mainly derives from studies involving HIV-1 infection of human tissue explants ex vivo [151], and SIV infection of the non-human primate rhesus macaque [152, 153]. A typical time course of HIV-1 infection progresses through 4 phases: eclipse, acute infection, chronic infection, and AIDS [154]. The first one or two weeks after the virus transmission mark the eclipse phase during which HIV-1 is actively replicating at the site of infection and spreading to distant susceptible tissues and organs, all without detectable viremia or symptoms or immune response. The first detection of viral RNA in the blood marks the end of the eclipse phase. The acute/primary infection phase (weeks 2-4) is marked by high levels of viremia (>107 copies of viral RNA/mL of blood), large pools of infected CD4+ T cells in blood and lymphoid tissues, and, consequently, acute depletion of CD4+ T cells [155]. This phase is also frequently characterized by flu or mononucleosis-like symptoms. Both humoral (antibodies targeting viral proteins) and cell-mediated (CD8+ cytotoxic T cells targeting viral antigen-expressing infected cells) host immune response is initiated at the time of peak viremia [42]. Majority of the productively infected CD4+ T cells die from activation-induced cell death (AICD), viral cytopathic effects (CPE), or CTL-mediated cell killing. A significant proportion of non-productively infected resting CD4+ T cells in the susceptible lymphoid tissues have been shown to undergo pyroptosis, a form of programmed cell death. The resulting decline in CD4+ T cell numbers and viremia, arising from the eventual catch-up by the host immune system and the exhaustion of available target cell pool, mark the end of the acute phase. This is followed by the chronic infection phase during which the viremia levels stabilize to a set point, which can vary by orders of magnitude between individuals. The CD4+ T cell levels continue to steadily decrease due to the death of sizeable number of infected cells, and there is chronic immune activation and inflammation. If untreated with ARV, the HIV infection advances to the fourth and final AIDS phase anytime between months to 20 years (10 years on average). The AIDS phase is marked by significantly declining CD4+ T cell numbers and increasing viremia levels; the consequent loss of immune control leads to opportunistic infections, cancers, and, ultimately, to the death of the infected individual [15]. The AIDS is generally considered to result from the HIV-infection associated loss of the CD4+ T cells. However, because the turnover rate of SIV-infected cells in natural hosts who do not progress to AIDS is comparable to that of HIV-infected cells in humans who do progress to AIDS in the absence of cART, it has been suggested that the infection-associated CD4+ T cell loss may not be the sole driver of disease progression to AIDS in humans [154]. Hence, two characteristics distinguishing HIV-1 infection in humans from SIV infections in their natural hosts, namely the chronic immune activation and the robust infection of diverse subsets of CD4+ T cells, has been postulated to contribute to the development of AIDS in humans, by causing immune exhaustion and depleting immune cells protective against opportunistic infections, respectively [154].

HIV-1 LATENCY

The current cART regimens suppress viral replication, reduce plasma virus levels to below the clinical detection limit (~50 copies of HIV-1 RNA/mL), and prevent disease progression. However, cART does not eliminate proviruses; traces of HIV-1 RNA can still be detected in the plasma by using ultrasensitive assays [37, 156]. This is primarily due to HIV-1 establishing a stable reservoir of non-productively infected and long-lived rCD4s (referred to as latent virus reservoir) harboring proviruses, within days of virus transmission and before detectable viremia [2, 35, 157, 158]. Notably, only around 2-7% of those proviruses in the rCD4s are replication-competent and thus constitute the relevant or bona fide population of latent reservoir [159]; the other predominant population comprises of defective proviruses [43, 159161]. The latent reservoirs have been shown to be present in different anatomical compartments including the peripheral blood, lymph nodes, gut-associated lymphoid tissue (GALT), and central nervous system (CNS) [162167], and, besides the CD4+ T cells, other types of immune cells, especially of the myeloid lineage, have also been reported to contribute to the generation and maintenance of the latent reservoirs. However, the rCD4s from the peripheral blood continue to represent the most extensively characterized latent reservoir. These latent virus reservoirs are remarkably stable [168]. The resting and memory state of these infected cells largely precludes proviral gene expression and viral protein production [160]. Consequently, these latent virus reservoirs are generally invisible to CTL-mediated host immune response and also immune to cART, thus presenting the greatest barrier to HIV cure. HIV-1 can persist in different subsets of memory T cells including central (TCM), effector (TEM), transitional (TTM), and the stem cell-like memory T cells. However, the TCM cells, which display diverse tissue distribution profile, are generally regarded as the HIV-preferred latent cell reservoirs [169]. The latent HIV-1 reservoir, first evidenced in vivo in 1995 [34], displays an extremely slow decay rate (t1/2 = 3.7 years) in PLHIV on cART [168]; for instance, natural clearance of a million latently-infected cells may take ~73 years. Preempting the establishment of such latent HIV reservoirs in infected individuals continues to remain a formidable therapeutic challenge.

An early initiation of cART has been shown to minimize the size of this latent viral reservoir but is incapable of preventing its establishment. For instance, initiating the cART very early (3rd day post infection) in the SIV-infected rhesus macaque non-human primate model still did not prevent the establishment of the latent viral reservoirs [170]. In the case of HIV-1 infection, initiating cART extremely early during infection (10 days post transmission) led to undetectable virus levels in the infected individual for up to 2 years on cART; however, the virus rebounded 32 weeks after interruption of cART [171]. Further, these long-lived latently-infected rcD4s are maintained by homeostatic proliferation, antigen-driven proliferation, and integration site-driven clonal expansion, and thus persist despite long-term cART in PLHIV [169, 172176]. The homeostatic proliferation is mediated by common gamma chain family of cytokines (IL-2, IL-4, IL-7, IL-9, IL-15, and IL-21), the antigen-stimulated proliferation may be mediated by specific antigens (cytomegalovirus, CMV; human papillomavirus, HPV, Epstein-Barr virus, EBV) or non-specific immune activators (bacteria), and the integration site-driven clonal expansion could result from viral integration into cell growth or cell cycle-related genes [177]. Especially, recent findings indicate that the clonally-expanded population of the latent reservoir containing replication-competent provirus [178, 179], a fraction of which are transcriptionally active even during cART [180], may account for over 50% of the latent reservoir [172, 181, 182] and are more dynamic that previously anticipated [161, 176].

Despite cART-mediated suppression of ongoing virus replication, transient bursts of virus production from such latently infected cells, potentially upon exposure to antigens or cytokines, may contribute to the residual plasma HIV-1 RNA. Alternatively, ongoing virus replication in tissue compartments ineffectually targeted by, or inaccessible to, cART may also contribute to the residual plasma HIV-1. However, the resident virus populations in such inaccessible tissue compartments evolve differently and thus display reduced diversity than those of the latent HIV reservoirs. Direct cell-to-cell transmission of virus via virological synapses has also been proposed to contribute to the residual ongoing virus replication and establishment of latent HIV reservoir [183, 184]. Any disruption of cART will enable resumption of virus production from proviruses in latently-infected cells, thus leading to a relapse of pre-treatment level viremia within days to weeks [37, 39, 185]. Hence, an uninterrupted and life-long cART is essential for effectively managing HIV in PLHIV.

If untreated, HIV evades both the humoral and cell-mediated host immune response by acquiring escape mutations in its genome [186192] and continues to actively replicate in infected individuals throughout their lifetime [193]. This discounts any need for HIV to establish latency as a means to persist in infected individuals. The prevalent theory proposed [46] to explain the incidence of HIV-1 latency invokes the transmitted viruses’ preference for CCR5 tropism [150] and, consequently, for activated CD4+ T cells capable of transitioning into rCD4s. The activated CD4+ T cells are marked by the activation-induced upregulation and increased availability of CCR5, completion of the early events of virus replication leading to the critical step of vDNA integration (i.e. establishment of provirus) within few hours post infection, and the ready availability of the cellular factors required for the transcription of the proviral DNA. Conversely, the rCD4s are deficient in the expression or levels of the cellular cofactors required for optimal virus replication; for instance, completion of the reverse transcription process may take up to 3 days in rCD4s. Though the activated CD4+ T cells infected by HIV-1 have a very short half-life (t1/2 of ~1 day) and die of one of the many proposed cell death pathways, if HIV-1 stochastically infects activated CD4+T cells that are in the process of transitioning into memory phenotype [194], a sufficient window of time may be available for completion of the early events of virus replication culminating in the establishment of the provirus. The transition into memory phenotype causes sequestration of host transcription factors that are essential for virus gene expression from the provirus, and the resulting transcriptionally-silent provirus [195] may further be subjected to certain epigenetic modifications that sustain the latent phenotype [158, 196].

Recent reports suggest that HIV-1 can directly infect resting CD4+T cells [197]. Though HIV can enter resting CD4+ T cells [198]. certain host restriction factors present significant blocks to steps in the early phase of virus replication. For instance, the host-encoded protein sterile alpha-motif (SAM) and histidine-aspartate (HD) domain-containing protein 1 (SAMHD1) [199, 200] is highly expressed in resting CD4+ T cells and impairs viral reverse transcription by limiting the availability of the nucleotides essential for vDNA synthesis [201, 202]. The resulting incomplete vDNA products are sensed by interferon-γ inducible protein 16 (IFI16), which leads to pyroptosis, release of pro-inflammatory cytokines, and ultimately the depletion of CD4+T cells. Occasionally, HIV infection in some resting CD4+ T cells progresses through reverse transcription and nuclear import of the ensuing vDNA, which may or may not be integrated into the host chromosome. The unintegrated vDNA is typically circularized by end-to-end joining of the viral DNA LTR ends into 2-LTR circles by the host non-homologous end joining (NHEJ) pathway or into 1-LTR circles via homologous recombination [203], and these unintegrated circular forms of vDNA persist for extended periods of time [204]. Recent demonstration of cellular activation-induced and IN-dependent linearization of the 2-LTR circles and their subsequent integration into host chromosome suggests that the 2-LTR circles may also serve as a reserve supply for integration-competent vDNA [205, 206]. Taken together, the generation and maintenance of latent HIV reservoirs, which are not, or poorly, targeted by CTLs and cART represent a major hurdle to HIV cure efforts [174].

HIV-1 CURE

Two pathways have been proposed for achieving cART-free HIV cure: sterilizing cure and functional cure [46, 207]. The “sterilizing cure” refers to complete elimination of HIV from the patient’s body by purging the latent reservoirs of replication-competent proviruses. The “functional cure” aims for immune system-mediated durable suppression of viral replication, in the absence of cART and without completely eliminating replication-competent HIV [208].

Two prominent clinical cases highlight the tantalizing prospect that HIV can be eliminated (Berlin patient) or temporarily controlled in the absence of cART (Mississippi baby). In 2006, an HIV-1-positive patient maintaining a cART-induced virologic suppression for over 10 years was diagnosed with acute myeloid leukemia that was neither associated with the HIV infection nor the treatment. This individual, later named Berlin patient, first underwent myeloablative conditioning regimen that employs chemotherapy and whole-body radiation to eliminate the host stem and immune cells. Subsequently, the patient received allogeneic hematopoietic stem cell transplantations (HSCT) from a chosen donor who carried a homozygous deletion in the CCR5 gene that codes for the namesake co-receptor required for HIV entry. Following discontinuation of cART, neither viral RNA in the peripheral blood nor replication-competent proviral DNA in tissue compartments have been detected over the past 12 years [209, 210]. Though the underlying mechanism(s) remain unclear, three likely contributing factors include the conditioning regimen and the graft-versus-host disease (GvHD), both of which enabled the elimination of HIV-infected cells, and the non-permissiveness of the transplanted cells to new HIV infections. However, the inherent and significant risks associated with this clinical procedure makes it unsuitable for PLHIV who are negative for myeloid malignant diseases. Further, CXCR4-tropic HIV variants pre-existing in patients who receive such allogeneic transplantation with CCR5 Δ32 homozygous stem cells can breakthrough and rebound under the selection pressure [211]. The Mississippi baby was born in 2010 to an untreated HIV-1-infected mother and was started on cART 30 hours after birth. The baby tested positive for HIV up to 3 weeks of age but then the virus declined to below detectable levels by the end of 4 weeks of age. Despite the discontinuation of cART at 18 months of age, the virologic suppression was maintained [212]. However, the child experienced virologic rebound in mid 2014, and the child was placed back on cART [213]. Accumulating evidence over the years have substantiated the significant role of initiating the cART as early as feasible during the early stages of infection in containing the establishment of latent HIV reservoirs and achieving long-lasting remission in the absence of cART [214, 215]; however, the case of the Mississippi baby highlights certain limitations of this strategy. Research directed towards translating the insights gained from these clinical cases into viable curative interventions targeted at achieving cART-free remission in PLHIV are currently underway.

The mainstay of the therapeutic strategies focused on eliminating the latent virus reservoir is the kick(shock)-and-kill strategy [216219] that relies on the use of latency reversing agents (LRAs) to induce de novo production of viral proteins from the replication-competent proviruses in the latently-infected rCD4s, followed by viral cytopathic effect-induced or HIV-specific CTL-induced cell death [46, 220]. However, recent evidence suggests that the LRA-treated cells may not be cleared by cytopathic effects [220]. Hence, the first, and the most critical step, in CTL response after latency reversal is a prompt and effective recognition of the viral antigens produced from the replication-competent proviruses [42]. In vivo, CTLs face multiple roadblocks to recognition of latently-infected cells. Recent evidence suggests that, unlike in the case of HIV-infected individuals who initiated cART during acute infection, almost all the replication-competent and defective proviruses from the rCD4s in patients who started cART during chronic infection contained escape mutations in certain dominant viral epitopes targeted by CTLs, and thereby are unaffected by CTL response [187]. These CTL escape mutations arise early in infection due to robust CTL response in the absence of cART and hence are archived in the latent reservoir. This necessitates the latent reservoir-targeting CTL-based therapies to be directed towards subdominant viral epitopes for which the virus hasn’t acquired any escape mutations.

In HIV-infected individuals, 300 out of every 1 million rCD4s harbor a provirus [221]; nevertheless, only one among those contain an inducible replication-competent provirus, whereas the remaining rCD4s harbor defective proviruses [168, 222]. Irrespective of whether the cART is initiated during the acute infection or chronic infection phase, majority (over 90%) of the proviruses are defective [159]. Early initiation of ART limits the size of the reservoir but does not profoundly affect the proviral landscape [223]. The primary determinant of the viral IN binding to, and mediating the chromosomal integration of, the vDNA is the specific affinity between the viral enzyme and intact LTR ends of the vDNA. This permits indiscriminate integration of full-length, internally-deleted, and defective viral DNAs into host chromosome. The predominance of defective proviruses in latent reservoirs is an outcome of apolipoprotein B editing complex 3G (APOBEC3G)-induced hypermutations, inactivating point mutations, packaging signal (ψ) deletions, major splice donor mutations, and large internal deletions [43, 159]. However, defective proviruses have been shown to be transcribed into RNAs that are spliced and translated [224]. More importantly, some CTL-targeted epitopes are produced, despite the presence of upstream lethal mutations, through aberrant translation, and such cells are recognized by HIV-specific CTLs. Because of the predominance of defective proviruses over replication-competent proviruses, the effectiveness of the CTL response can be significantly blunted by the non-productive targeting of cells harboring defective proviruses [225].

Contrary to the promising results from studies based on in vitro latency model systems, multiple clinical trials testing strategies based on the kick-and-kill approach have consistently failed to shrink, let alone eliminate, the latent viral reservoirs [226]. Insufficient latency reversal and suboptimal immune clearance have been frequently ascribed to such disappointing clinical outcomes. Accordingly, recent findings implicate additional barriers, present in vivo but absent in the in vitro latency models, in the inefficient CTL-mediated elimination in vivo. Apparently, the latency models do not fully recapitulate the complex nature of the latent virus reservoirs that are established in vivo over several years or decades in the face of cART [227, 228]. Nevertheless, and notably, the outcome of the sterilizing or functional curative strategies will likely depend on an effective HIV-specific CTL response- to eliminate any reactivated latently-infected rCD4s or to durably control the viremia, respectively.

HIV-1-SPECIFIC CTL RESPONSE

HIV-1-specific CTLs mount the most critical host immune response towards limiting virus replication and spread during primary HIV infection [155, 186, 229231]. The CTLs, via their T cell receptors (TCR), specifically recognize and bind to short HIV-derived peptides, which are derived from proteasomal processing of mature viral proteins [232] or truncated defective viral proteins, and presented by HLA class I molecules on the surface of the infected cells. Following this direct cell-to-cell contact, an immunological synapse is established between the two cell types that activates a cascade of effector mechanisms targeting the infected cell [233]. These include the secretion of cell death-inducing effector molecules like granzymes, perforin, and Fas-ligand, and the release of a variety of antiviral cytokines and chemokines, which collectively orchestrate the killing of the infected cell, potentially before the biogenesis of progeny virus [234]. The significance of the CTL-mediated antiviral response to HIV-1 infection is evident from the (1) inverse correlation between the magnitude and promptness of the HIV-specific CTL response and the viral load set point during acute HIV infection, (2) rapid evolution of escape mutations within the sequences encoding the viral epitopes targeted by the CTLs, (3) robust ability of HIV-specific CTLs from infected individuals to kill HIV-infected cells in vitro [235], and (4) increase in viremia upon depletion of CTLs during acute SIV infection in the non-human primate animal model macaque [236]. Further, the strong selective pressure exerted on the virus to escape the CTL response, both at the individual and population level, is a major driver of HIV evolution [237239]. The HIV-specific CTLs have also been reported to control HIV infection via non-cytotoxic mechanisms, especially by secreting beta-chemokines that block the HIV infection of target cells [240].

Despite the protective role played by CTLs during acute HIV infection, CTL response eventually fails to durably control virus replication and prevent disease progression in untreated HIV-infected individuals [241, 242]. This has been attributed to the virus acquiring CTL-resistant escape mutations [243, 244], virus disrupting the HLA Class I-mediated antigen presentation pathway [245], dysfunction of the CD8+ T cells [246], and the rapid establishment and compartmentalization of non-replicating proviruses in rCD4s (latent virus reservoir) during primary HIV infection [42, 247]. The CTL-countering escape mutations acquired by the virus may interfere with processing of viral epitope, loading of viral epitopes onto HLA molecules, and binding of viral epitope antigens to TCR [243, 248]. Although several mother-to-child and adult transmission studies have demonstrated that the CTL escape mutant viruses are transmitted [239, 249251]. WT viruses are preferentially transmitted when an HIV-infected individual harbors a mixture of wild-type (WT) and CTL-resistant mutant viruses [252]. This suggests that the CTL-escape mutations may impose a significant fitness cost on the viral variants. In untreated PLHIV, persistent exposure to HIV antigens (chronic antigenic stimulation) causes progressive dysfunction of the CD8+ T cells, termed T cell exhaustion. This is marked by diminished proficiency of antigen-induced proliferation, reduced polyfunctionality, and apoptosis. The exhausted CD8+ T cells also express a variety of coinhibitory molecules- the programmed cell death-1 (PD-1) being the central player [253, 254], which further impair their antiviral activity. Nevertheless, long-term cART has been reported to partially relieve the manifestations associated with T cell exhaustion. The proviruses in the latently-infected rCD4s are deemed transcriptionally silent and, consequently, lacking in viral antigen production- a prerequisite for CTL-mediated recognition and cell killing. This potentially renders the latently-infected rCD4s impervious to CTL-mediated host immune responses. However, because the CTLs are capable of recognizing even a single HLA-peptide antigen complex displayed on cell surface, an escape from CTLs would require the maintenance of a remarkably rigorous state of latency over a period of many years in cART-experienced individuals. Yet, available evidence indicates that episodic activation of a subset of such latently-infected cells may lead to low-level transient expression of HIV antigens [174]. Therefore, latency has been proposed to be the principle but not the exclusive barrier to CTL-mediated clearance of HIV-infected cells. Conversely, a role for CTL in limiting the expansion of viral reservoir in HIV-infected individuals on cART has been proposed. For instance, in SIV-infected macaques on cART, depletion of CD8+ T-cells was shown to stimulate the levels of SIV transcripts, thus implicating a role for CD8+ T-cells in suppressing viral transcription [255]. Recent research raises the possibility that the replication-competent proviruses in latent cells may be inherently resistant to CTL response [256]. For instance, treatment of CD4+ T cells from HIV-infected individuals on cART with combinations of LRAs and autologous CTLs diminished the levels of the cell-associated HIV DNA but not the replication-competent provirus. Importantly, this failing appears to neither stem from immune escape by the virus nor dysfunction of the autologous CTLs, because CD4+ T cells inoculated with autologous reservoir virus were eliminated by the autologous CD8+ T cells.

The replication strategy employed by HIV-1 is generally considered tuned towards ensuring the establishment of the provirus before the infected cell becomes the target of CTL response. This is because the incoming vRNA is not translated and the production of viral proteins, which are the de facto precursors for the peptide antigens targeted by CTL, requires transcription of viral mRNAs from the chromosomally-integrated provirus. However, studies in SIV-infected rhesus macaques demonstrated that the early presentation of peptide epitopes processed from the incoming viral Gag protein leads to the recognition of the target CD4+ T cell by the Gag-specific CTLs even before proviral DNA integration [257]. In the case of HIV-1 infection in activated CD4+ T cells, peptide epitopes derived from the incoming viral proteins and presented by protective HLA alleles have been reported to be recognized by HIV-specific CTLs and to confer antiviral activity [258, 259]. Notably, HIV-specific CTLs from HCs have been shown to be significantly efficient in recognizing and eliminating target CD4+ T cells even before the establishment of a productive infection [260, 261].

HIV-1 CONTROLLERS

A key impetus for the ongoing research focused on a functional cure for HIV is the recognition of HCs- a subgroup of untreated HIV-infected individuals with clinically undetectable viremia (<50 RNA copies/mL plasma) and normal or elevated CD4+ T cell counts (median levels at >500 cells per cubic millimeter of blood) for extended periods of time (many years to decades) [47, 48]. The HCs comprise <1% of untreated PLHIV, and majority of them do not progress to AIDS. Though uncommon, some HCs may eventually lose the virus control. The cART-naïve HCs differ from the post-treatment controllers (PTC)- another subgroup of PLHIV who exhibit sustained virologic control after discontinuing cART [262]. Because HIV infection in cART-naive HCs is marked by durable suppression of viral replication, disease progression, and viral transmission, they are considered an apt model for identifying and defining the molecular mechanisms underlying these protective immunologic traits, which may significantly advance the research on HIV cure [263].

The HCs exhibit distinct genetic and immunologic characteristics, and several distinct mechanisms have been proposed to explain the HC phenotype [264]. However, robust HIV-1-specific CTL responses have been reported to be a major player and, many times, a common determinant in the manifestation of the HC phenotype [242, 265268]. It has been suggested that a distinct host response, likely during early in infection, plays a major role in conferring the HC phenotype. Accordingly, the HIV set point-the stabilized viral load following acute infection that is considered a predictive marker for disease progression, generally correlates with the magnitude of the HIV-specific CTL response [188]. However, because sampling in HIV-infected individuals is typically after peak viremia, the current understanding of acute HIV infection dynamics is imprecise. Though the contribution of the HIV genetic variation-especially in the context of the viral accessory genes, to the HC phenotype has been studied extensively, the findings have been largely variable and many of the proposed models await verification [269]. This has led to the proposal that the host factors might play a relatively major role in conferring the robust and sustained virus control in HCs [270].

Polymorphism within the HLA class I locus has been reported to constitute the primary host genetic determinant of HIV infection outcome [271]. Certain HLA alleles associated with control of HIV-1 and non-progression to AIDS (e.g. HLA-B*27, HLA-B*57) are prevalent in HCs, whereas HLA alleles associated with accelerated disease progression (e.g. HLA-B*35) are scarce in HCs [264, 272] [273]. Conversely, some PTC cohorts are marked by low incidence of the protective HLA-B*27 and HLA-B*57 alleles, and higher prevalence of HLA-B*35 allele. This suggests that the HC’s ability to robustly control HIV-1 may be largely dependent on potent HLA-B-restricted HIV-specific CTLs. Interestingly, a proportion of macaques carrying MHC class I allele Mamu-B*08 or Mamu-B*17, the viral antigen-binding motifs of which resemble those of the human HLA-B*27 or HLA-B*57, respectively [274, 275], have been shown to display HC-like phenotype when infected with pathogenic SIV [276278]. The HIV-specific CTLs in HCs are functionally superior to that in PTCs and CPs-in terms of avidity and polyfunctionality, in countering virus replication, and thus lead to better immunologic control [279281]. Further, unlike the HIV-specific CTLs in CPs, the HIV-specific CTLs in HCs mediate a sustained response [282, 283] because they are more resistant to the persistent antigen stimulation-induced T-cell exhaustion [284], and do not lose the proliferative capacity [285] during the chronic infection phase because they are better at evading the inhibitory effect of the regulatory T cells (Treg) [286]. The HIV-specific CTLs from HCs are also more inhibitory to HIV-1 replication in vitro [287].

The protective HLA alleles have been reported to be distinctive in their propensity to present the most conserved viral epitopes to the HIV-specific CTLs [288]. The resulting immune pressure on the virus drives the emergence of escape mutations within the sequences that encode the CTL-restricted viral epitopes, which may consequently be impaired in processing, loading onto the HLA molecules, and binding to the TCR on CTLs. However, the evolution of the escape mutations in the most conserved regions of the HIV-1 genome invariably imposes significant fitness costs on the mutant viral variants [289]. Therefore, though the generation of viral variants may appear to have compromised the protective role of HLA alleles, the ensuing negative impact on the viral replication efficiency has been proposed to confer the characteristic immune control in HCs harboring such protective HLA alleles. Accordingly, the influence of the HLA loci on set point viremia in HIV-infected individuals is primarily mediated through its immune pressure on viral genetic variants, as evidenced from the exclusive association of HLA variants with specific viral mutants [290, 291].

Some of the most immunodominant viral epitopes targeted by CTL are derived from the viral Gag and Env proteins. Gag-specific CTLs have been shown to be more potent in viral suppression than the Env-specific CTLs [292], and, accordingly, robust CTL-mediated targeting of Gag epitopes has been associated with lower viral set point and, consequently, slower disease progression [268, 293]. For instance, the slower progression to AIDS by HLA-B*27:05-positive HIV-infected individuals has been ascribed to the CTL response toward the HLA-B*27-restricted immunodominant Gag epitope KK10 [294296]. When viral variants harboring escape mutations (that compromise the CTL response) within the KK10 epitope and compensatory mutations (that relieve the viral fitness cost) arise, typically late in infection, it leads to rapid progression to AIDS [188, 297]. Interestingly, the human anti-HIV restriction factor tripartite motif-containing protein 5 alpha (huTRIM5α), which binds to the incoming viral capsid core and inhibits the viral reverse transcription, has been implicated in the control of HIV infection in HCs carrying the HLA-B*27 or HLA-B*57 alleles; the CTL escape HIV-1 CA mutants exhibited enhanced sensitivity to the restriction by the human huTRIM5α [298300]. A direct comparison of the functional characteristics of the HLA-B*27-KK10-specific TCRs from the HCs and CPs indicated that the TCRs did not contribute to the differential CTL response in these two populations [301]. Further, the latent viruses in patients who initiate cART during the chronic phase of infection contain escape mutations in CTL-targeted dominant viral epitopes and thus are immune to respective CTLs [187]. Recent immune-based therapeutic studies have provided prospective evidence that CTL responses, especially those targeting the subdominant viral epitopes that hasn’t acquired any CTL escape mutations [18], may play a critical role in HIV cure. Rhesus macaques vaccinated with a replicating CMV vector expressing SIV genes and then challenged with a pathogenic SIV virus became infected, but the virus was subsequently eliminated in half of the animals. This was attributed to the vaccine-induced generation of virus-specific broad CTL responses that targeted the HLA class 1-restricted subdominant epitopes and not the immunodominant epitopes capable of mutating with ease [302, 303]

Eliminating nonproductively-infected resting CD4+ T cells, i.e. after viral entry but before reverse transcription, can prevent both abortive and latent infection, thereby preempting the CD4+ T cell depletion and the size of the latent virus reservoir, respectively. Interestingly, HIV-specific CTLs have been reported to be capable of recognizing cognate peptides derived directly from the incoming virus particles and presented via the HLA Class I molecules, both in activated CD4+ T cells [258, 259] and in resting CD4+ T cells [260]. More recently, incoming HIV-1 particles in resting non-productively infected CD4+ T cells were reported to be processed by host proteasomes and aminopeptidases into antigens that are then displayed by the HLA-I molecules on the cell surface. Strikingly, HIV-specific CTLs from the HCs, but not the CPs, harboring at least one of the two protective HLA class I alleles-HLA-B27 or HLA-B57, were shown to recognize such virus inoculum-derived peptides, form synapses between the two cell types, and orchestrate cell death, all within few hours [261]. The identification of factor(s) that enable the CD8+ T cells from HCs, but not the CPs, to better recognize and target the non-activated infected cells may provide promising avenues for not only reducing the viral reservoir but also potentially limit the establishment of the latent virus reservoir via T-cell based prophylactic vaccines.

The recognition of HCs has, despite the challenges discussed above, spurred the hopes of devising sustainable HIV cure strategies. Assembling large cohorts of HCs will significantly aid in identifying and characterizing their unique immune correlates. However, because the clinical outcomes of HCs can be heterogeneous and because the treatment guidelines for HCs are still inexact, it is critical to precisely define the HC phenotype that will serve as suitable model of functional cure research. The recent identification of viral properties and host factors potentially associated with natural loss of virus control in HCs can be used as predictive biomarkers to determine treatment intervention [304306]. Studies on HC cohorts have started to reveal crucial insights on distinctive immune-control mechanisms [261, 307309], including the observation that sustained virus suppression can be attained even in patients lacking the known protective HLA alleles. Therefore, the HCs may hold the key for immunotherapy-based HIV cure [272].

ACKNOWLEDGEMENTS

We acknowledge the support of National Institutes of Health (NIH) grants AI22960, GM082251, DA024558, DA30896, DA033892, and DA021471. We also acknowledge RCMI grant G12MD007586, Vanderbilt CTSA grant UL1RR024975, Meharry Translational Research Center (MeTRC) CTSA grant (U54 RR026140 from NCRR/NIH, Tennessee Center for AIDS Research grant P30 AI110527, and U54 grant MD007593 from NIH. MHD/NIH.

Footnotes

The authors declare no competing financial and nonfinancial interests.

REFERENCES

  • 1.Chun TW, et al. , Effect of interleukin-2 on the pool of latently infected, resting CD4+ T cells in HIV-1-infected patients receiving highly active anti-retroviral therapy. Nat Med, 1999. 5(6): p.651–5. 10.1038/9498 [DOI] [PubMed] [Google Scholar]
  • 2.Ostrowski MA, et al. , Both memory and CD45RA+/CD62L+ naive CD4(+) T cells are infected in human immunodeficiency virus type 1-infected individuals. J Virol, 1999. 73(8): p. 6430–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Brenchley JM, et al. , T-cell subsets that harbor human immunodeficiency virus (HIV) in vivo: implications for HIV pathogenesis. J Virol, 2004. 78(3): p. 1160–8. 10.1128/JVI.78.3.1160-1168.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Sonza S, et al. , Monocytes harbor replication-competent, non-latent HIV-1 in patients on highly active antiretroviral therapy. AIDS, 2001. 15(1): p. 17–22. 10.1097/00002030-200101050-00005 [DOI] [PubMed] [Google Scholar]
  • 5.Le Douce V, et al. , Molecular mechanisms of HIV-1 persistence in the monocyte-macrophage lineage. Retrovirology, 2010. 7: p. 32 10.1186/1742-4690-7-32 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Koppensteiner H, Brack-Werner R, and Schindler M, Macrophages and their relevance in Human Immunodeficiency Virus Type I infection. Retrovirology, 2012. 9: p. 82 10.1186/1742-4690-9-82 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Sattentau QJ and Stevenson M, Macrophages and HIV-1: An Unhealthy Constellation. Cell Host Microbe, 2016. 19(3): p. 304–10. 10.1016/j.chom.2016.02.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Spiegel H, et al. , Follicular dendritic cells are a major reservoir for human immunodeficiency virus type 1 in lymphoid tissues facilitating infection of CD4+ T-helper cells. Am J Pathol, 1992. 140(1): p. 15–22. [PMC free article] [PubMed] [Google Scholar]
  • 9.Smith BA, et al. , Persistence of infectious HIV on follicular dendritic cells. J Immunol, 2001. 166(1): p. 690–6. 10.4049/jimmunol.166.1.690 [DOI] [PubMed] [Google Scholar]
  • 10.Wu L and KewalRamani VN, Dendritic-cell interactions with HIV: infection and viral dissemination. Nat Rev Immunol, 2006. 6(11): p. 859–68. 10.1038/nri1960 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Craigie R and Bushman FD, HIV DNA integration. Cold Spring Harb Perspect Med,, 2012. 2(7): p. a006890 10.1101/cshperspect.a006890 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ho DD, et al. , Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection. Nature, 1995. 373(6510): p. 123–6. 10.1038/373123a0 [DOI] [PubMed] [Google Scholar]
  • 13.Wei X, et al. , Viral dynamics in human, immunodeficiency virus type 1 infection., Nature, 1995. 373(6510): p. 117–22. 10.1038/373117a0 [DOI] [PubMed] [Google Scholar]
  • 14.Perelson AS, et al. , HIV-1 dynamics in vivo: virion clearance rate, infected cell life-span, and viral generation time. Science, 1996. 271(5255): p. 1582–6. 10.1126/science.271.5255.1582 [DOI] [PubMed] [Google Scholar]
  • 15.Lackner AA, Lederman MM, and Rodriguez B, HIV pathogenesis: the host. Cold Spring Harb Perspect Med, 2012. 2(9): p.a007005 10.1101/cshperspect.a007005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sharp PM and Hahn BH, Origins of HIV and the AIDS pandemic. Cold Spring Harb Perspect Med, 2011. 1(1): p. a006841. 10.1101/cshperspect.a006841 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Campbell-Yesufu OT and Gandhi RT, Update on human immunodeficiency virus (HIV)-2 infection. Clin Infect Dis, 2011. 52(6): p.780–7. 10.1093/cid/ciq248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Picker LJ, Hansen SG, and Lifson JD, New paradigms for HIV/AIDS vaccine development. Annu Rev Med, 2012. 63: p. 95–111. 10.1146/annurev-med-042010-085643 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Stephenson KE, D’Couto HT, and Barouch DH, New concepts in HIV-1 vaccine development. Curr Opin Immunol, 2016. 41: p. 39–46. 10.1016/j.coi.2016.05.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Haynes BF and Burton DR, Developing an HIV vaccine. Science, 2017. 355(6330): p. 1129–1130. 10.1126/science.aan0662 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Arts EJ and Hazuda DJ, HIV-1 antiretroviral drug therapy. Cold Spring Harb Perspect Med, 2012. 2(4): p. a007161 10.1101/cshperspect.a007161 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Coffin JM, HIV population dynamics in vivo: implications for genetic variation, pathogenesis, and therapy. Science, 1995. 267(5197): p. 483–9. 10.1126/science.7824947 [DOI] [PubMed] [Google Scholar]
  • 23.Collier AC, et al. , Combination therapy with zidovudine, didanosine and saquinavir. Antiviral Res, 1996. 29(1): p. 99 10.1016/0166-3542(95)00928-0 [DOI] [PubMed] [Google Scholar]
  • 24.Collier AC, et al. , Treatment of human immunodeficiency virus infection with saquinavir, zidovudine, and zalcitabine. AIDS Clinical Trials Group. N Engl J Med, 1996. 334(16): p. 1011–7. 10.1056/NEJM199604183341602 [DOI] [PubMed] [Google Scholar]
  • 25.D’Aquila RT, et al. , Nevirapine, zidovudine, and didanosine compared with zidovudine and didanosine in patients with HIV-1 infection. A randomized, double-blind, placebo-controlled trial. National Institute of Allergy and Infectious Diseases AIDS Clinical Trials Group Protocol 241 Investigators. Ann Intern Med, 1996. 124(12): p. 1019–30. 10.7326/0003-4819-124-12-199606150-00001 [DOI] [PubMed] [Google Scholar]
  • 26.Perelson AS, et al. , Decay characteristics of HIV-1-infected compartments during combination therapy. Nature, 1997. 387(6629): p. 188–91. 10.1038/387188a0 [DOI] [PubMed] [Google Scholar]
  • 27.Staszewski S, et al. , Safety and efficacy of lamivudine-zidovudine combination therapy in zidovudine-experienced patients. A randomized controlled comparison with zidovudine monotherapy. Lamivudine European HIV Working Group. JAMA, 1996. 276(2): p. 111–7. 10.1001/jama.1996.03540020033026, [DOI] [PubMed] [Google Scholar]
  • 28.Mansky LM and Temin HM, Lower in vivo mutation rate of human immunodeficiency virus type 1 than that predicted from the fidelity of purified reverse transcriptase. J Virol, 1995. 69(8): p. 5087–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.O’Neil PK, et al. , Mutational analysis of HIV-1 long terminal repeats to explore the relative contribution of reverse transcriptase and RNA polymerase II to viral mutagenesis. J Biol Chem, 2002. 277(41): p. 38053–61. 10.1074/jbc.M204774200 [DOI] [PubMed] [Google Scholar]
  • 30.Abram ME, et al. , Nature, position, and frequency of mutations made in a single cycle of HIV-1 replication. J Virol, 2010. 84(19): p.9864–78. 10.1128/JVI.00915-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Autran B, et al. , Positive effects of combined antiretroviral therapy on CD4+ T cell homeostasis and function in advanced HIV disease. Science, 1997. 277(5322): p. 112–6. 10.1126/science.277.5322.112 [DOI] [PubMed] [Google Scholar]
  • 32.Komanduri KV, et al. , Restoration of cytomegalovirus-specific CD4+ T-lymphocyte responses after ganciclovir and highly active antiretroviral therapy in individuals infected with HIV-1. Nat Med, 1998. 4(8): p. 953–6. 10.1038/nm0898-953 [DOI] [PubMed] [Google Scholar]
  • 33.Lederman MM, et al. , Immunologic responses associated with 12 weeks of combination antiretroviral therapy consisting of zidovudine, lamivudine, and ritonavir: results of AIDS Clinical Trials Group Protocol 315. J Infect Dis, 1998. 178(1): p. 70–9. 10.1086/515591 [DOI] [PubMed] [Google Scholar]
  • 34.Chun TW, et al. , In vivo fate of HIV-1-infected T cells: quantitative analysis of the transition to stable latency. Nat Med, 1995. 1(12): p. 1284–90. 10.1038/nm1295-1284 [DOI] [PubMed] [Google Scholar]
  • 35.Chun TW, et al. , Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection. Nature, 1997. 387(6629): p. 183–8. 10.1038/387183a0 [DOI] [PubMed] [Google Scholar]
  • 36.Finzi D, et al. , Identification of a reservoir for HIV-1 in patients on highly active antiretroviral therapy. Science, 1997. 278(5341): p. 1295–300. 10.1126/science.278.5341.1295 [DOI] [PubMed] [Google Scholar]
  • 37.Wong JK, et al. , Recovery of replicationcompetent HIV despite prolonged suppression of plasma viremia. Science, 1997. 278(5341): p. 1291–5. 10.1126/science.278.5341.1291 [DOI] [PubMed] [Google Scholar]
  • 38.Finzi D, 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(5): p. 512–7. 10.1038/8394 [DOI] [PubMed] [Google Scholar]
  • 39.Davey RT Jr., et al. , HIV-1 and T cell dynamics after interruption of highly active antiretroviral therapy (HAART) in patients with a history of sustained viral suppression. Proc Natl Acad Sci U S A, 1999. 96(26): p. 15109–14. 10.1073/pnas.96.26.15109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Blankson JN, Persaud D, and Siliciano RF, The challenge of viral reservoirs in HIV-1 infection. Annu Rev Med, 2002. 53: p. 557–93. 10.1146/annurev.med.53.082901.104024 [DOI] [PubMed] [Google Scholar]
  • 41.Warren JA, Clutton G, and Goonetilleke N, Harnessing CD8(+) T Cells Under HIV Antiretroviral Therapy. Front Immunol, 2019. 10: p. 291 10.3389/fimmu.2019.00291 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Jones RB and Walker BD, HIV-specific CD8(+) T cells and HIV eradication. J Clin Invest, 2016. 126(2): p. 455–63. 10.1172/JCI80566 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ho YC, et al. , Replication-competent noninduced proviruses in the latent reservoir increase barrier to HIV-1 cure. Cell, 2013. 155(3): p. 540–51. 10.1016/j.cell.2013.09.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Gardner EM, et al. , The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis, 2011. 52(6): p. 793–800. 10.1093/cid/ciq243 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Medland NA, et al. , The HIV care cascade: a systematic review of data sources, methodology and comparability. J Int AIDS Soc, 2015. 18: p. 20634 10.7448/IAS.18.1.20634 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Siliciano JD and Siliciano RF, Recent developments in the effort to cure HIV infection: going beyond N = 1. J Clin Invest, 2016. 126(2): p. 409–14. 10.1172/JCI86047 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Deeks SG and Walker BD, Human immunodeficiency virus controllers: mechanisms of durable virus control in the absence of antiretroviral therapy. Immunity, 2007. 27(3): p. 406–16. 10.1016/j.immuni.2007.08.010 [DOI] [PubMed] [Google Scholar]
  • 48.Pereyra F, et al. , Genetic and immunologic heterogeneity among persons who control HIV infection in the absence of therapy. J Infect Dis, 2008. 197(4): p. 563–71. 10.1086/526786 [DOI] [PubMed] [Google Scholar]
  • 49.Bell SM and Bedford T, Modern-day SIV viral diversity generated by extensive recombination and cross-species transmission. PLoS Pathog, 2017. 13(7): p. e1006466 10.1371/journal.ppat.1006466 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Hahn BH, et al. , AIDS as a zoonosis: scientific and public health implications. Science, 2000. 287(5453): p. 607–14. 10.1126/science.287.5453.607 [DOI] [PubMed] [Google Scholar]
  • 51.Lessells RJ, Katzenstein DK, and de Oliveira T, Are subtype differences important in HIV drug resistance? Curr Opin Virol, 2012. 2(5): p. 636–43. 10.1016/j.coviro.2012.08.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Santoro MM and Perno CF, HIV-1 Genetic Variability and Clinical Implications. ISRN Microbiol, 2013. 2013: p. 481314 10.1155/2013⁄481314 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Singh K, et al. , Drug resistance in non-B subtype HIV-1: impact of HIV-1 reverse transcriptase inhibitors. Viruses, 2014. 6(9): p. 3535–62. 10.3390/v6093535 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Wainberg MA and Brenner BG, The Impact of HIV Genetic Polymorphisms and Subtype Differences on the Occurrence of Resistance to Antiretroviral Drugs. Mol Biol Int, 2012. 2012: p. 256982 10.1155/2012/256982 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Gottlieb MS, et al. , Pneumocystis carinii pneumonia and mucosal candidiasis in previously healthy homosexual men: evidence of a new acquired cellular immunodeficiency. N Engl J Med, 1981. 305(24): p. 1425–31. 10.1056/NEJM198112103052401 [DOI] [PubMed] [Google Scholar]
  • 56.Masur H, et al. , An outbreak of community-acquired Pneumocystis carinii pneumonia: initial manifestation of cellular immune dysfunction. N Engl J Med, 1981. 305(24): p. 1431–8. 10.1056/NEJM198112103052402 [DOI] [PubMed] [Google Scholar]
  • 57.Barre-Sinoussi F, et al. , Isolation of a Tlymphotropic retrovirus from a patient at risk for acquired immune deficiency syndrome (AIDS). Science, 1983. 220(4599): p. 868–71. 10.1126/science.6189183 [DOI] [PubMed] [Google Scholar]
  • 58.Clavel F, et al. , Molecular cloning and polymorphism of the human immune deficiency virus type 2. Nature, 1986. 324(6098): p. 691–5. 10.1038/324691a0 [DOI] [PubMed] [Google Scholar]
  • 59.Guyader M, et al. , Genome organization and transactivation of the human immunodeficiency virus type 2. Nature, 1987. 326(6114): p. 662–9. 10.1038/326662a0 [DOI] [PubMed] [Google Scholar]
  • 60.Hemelaar J The origin and diversity of the HIV-1 pandemic. Trends Mol Med. 2012. 18(3): p. 182–92. DOI: 10.1016/j.molmed.2011.12.001 [DOI] [PubMed] [Google Scholar]
  • 61.Plantier JC, et al. , A new human immunodeficiency virus derived from gorillas. Nat Med, 2009. 15(8): p. 871–2. 10.1038/nm [DOI] [PubMed] [Google Scholar]
  • 62.Robertson DL, et al. , HIV-1 nomenclature proposal. Science, 2000. 288(5463): p. 55–6. 10.1126/science.288.5463.55d [DOI] [PubMed] [Google Scholar]
  • 63.Vallari A, et al. , Confirmation of putative HIV-1 group P in Cameroon. J Virol, 2011. 85(3): p. 1403–7. 10.1128/JVI.02005-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Faria NR, et al. , HIV epidemiology. The early spread and epidemic ignition of HIV-1 in human populations. Science, 2014. 346(6205): p. 56–61. 10.1126/science.1256739 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Sauter D, et al. , Tetherin-driven adaptation of Vpu and Nef function and the evolution of pandemic and nonpandemic HIV-1 strains. Cell Host Microbe, 2009. 6(5): p. 409–21. 10.1016/j.chom.2009.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.de Silva TI, Cotten M, and Rowland-Jones SL, HIV-2: the forgotten AIDS virus. Trends Microbiol, 2008. 16(12): p. 588–95. 10.1016/j.tim.2008.09.003 [DOI] [PubMed] [Google Scholar]
  • 67.Reeves JD and Doms RW, Human immunodeficiency virus type 2. J Gen Virol, 2002. 83(Pt 6): p. 1253–65. 10.1099/0022-1317-83-6-1253 [DOI] [PubMed] [Google Scholar]
  • 68.Ariyoshi K, et al. , Plasma RNA viral load predicts the rate of CD4 T cell decline and death in HIV-2-infected patients in West Africa. AIDS, 2000. 14(4): p. 339–44. 10.1097/00002030-200003100-00006 [DOI] [PubMed] [Google Scholar]
  • 69.De Cock KM, et al. , Epidemiology and transmission of HIV-2. Why there is no HIV-2 pandemic. JAMA, 1993. 270(17): p. 2083–6. https://doi.org/10.1001/jama.270.17.2083https://doi.org/10.1001/jama.1993.03510170073033https://doi.org/10.1001/jama.1993.03510170073033 [DOI] [PubMed] [Google Scholar]
  • 70.Kanki PJ, et al. , Slower heterosexual spread of HIV-2 than HIV-1. Lancet, 1994. 343(8903): p. 943–6. 10.1016/S0140-6736(94)90065-5 [DOI] [PubMed] [Google Scholar]
  • 71.Marlink R, Lessons from the second AIDS virus, HIV-2. AIDS, 1996. 10(7): p. 689–99. 10.1097/00002030-199606001-00002 [DOI] [PubMed] [Google Scholar]
  • 72.Marlink R, et al. , Reduced rate of disease development after HIV-2 infection as compared to HIV-1. Science, 1994. 265(5178): p. 1587–90. 10.1126/science.7915856 [DOI] [PubMed] [Google Scholar]
  • 73.Saleh S, et al. , Insight into HIV-2 latency may disclose strategies for a cure for HIV-1 infection. J Virus Erad, 2017. 3(1): p. 7–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Simon F, et al. , Cellular and plasma viral load in patients infected with HIV-2. AIDS, 1993. 7(11): p. 1411–7. 10.1097/00002030-199311000-00002 [DOI] [PubMed] [Google Scholar]
  • 75.Wilkins A, et al. , The epidemiology of HIV infection in a rural area of Guinea-Bissau. AIDS, 1993. 7(8): p. 1119–22. 10.1097/00002030-199308000-00015 [DOI] [PubMed] [Google Scholar]
  • 76.Esbjornsson J, et al. , Long-term follow-up of HIV-2-related AIDS and mortality in Guinea-Bissau: a prospective open cohort study. Lancet HIV, 2018. 10.1016/S2352-3018(18)30254-6 [DOI] [PubMed] [Google Scholar]
  • 77.Ganser-Pornillos BK, Yeager M, and Pornillos O, Assembly and architecture of HIV. Adv Exp Med Biol, 2012. 726: p. 441–65. 10.1007/978-1-4614-0980-9_20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Zhao G, et al. , Mature HIV-1 capsid structure by cryo-electron microscopy and allatom molecular dynamics. Nature, 2013. 497(7451): p. 643–6. 10.1038/nature12162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Engelman A and Cherepanov P, The structural biology of HIV-1: mechanistic and therapeutic insights. Nat Rev Microbiol, 2012. 10(4): p. 279–90. 10.1038/nrmicro2747 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Watts JM, et al. , Architecture and secondary structure of an entire HIV-1 RNA genome. Nature, 2009. 460(7256): p. 711–6. 10.1038/nature08237 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Perilla JR and Gronenborn AM, Molecular Architecture of the Retroviral Capsid. Trends Biochem Sci, 2016. 41(5): p. 410–420. 10.1016/j.tibs.2016.02.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Schiller J and Chackerian B, Why HIV virions have low numbers of envelope spikes: implications for vaccine development. PLoS Pathog, 2014. 10(8): p. e1004254 10.1371/journal.ppat.1004254 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Ward AB and Wilson IA, The HIV-1 envelope glycoprotein structure: nailing down a moving target. Immunol Rev, 2017. 275(1): p. 21–32. 10.1111/imr.12507 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Zhu P, et al. , Distribution and threedimensional structure of AIDS virus envelope spikes. Nature, 2006. 441(7095): p. 847–52. 10.1038/nature04817 [DOI] [PubMed] [Google Scholar]
  • 85.Dalgleish AG, et al. , The CD4 (T4) antigen is an essential component of the receptor for the AIDS retrovirus. Nature, 1984. 312(5996): p. 763–7. 10.1038/312763a0 [DOI] [PubMed] [Google Scholar]
  • 86.Herschhorn A, et al. , Release of gp120 Restraints Leads to an Entry-Competent Intermediate State of the HIV-1 Envelope Glycoproteins. MBio, 2016. 7(5). 10.1128/mBio.01598-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Klatzmann D, et al. , T-lymphocyte T4 molecule behaves as the receptor for human retrovirus LAV. Nature, 1984. 312(5996): p. 767–8. 10.1038/312767a0 [DOI] [PubMed] [Google Scholar]
  • 88.Munro JB, et al. , Conformational dynamics of single HIV-1 envelope trimers on the surface of native virions. Science, 2014. 346(6210): p. 759–63. 10.1126/science.1254426 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Kwong PD, et al. , Structure of an HIV gp120 envelope glycoprotein in complex with the CD4 receptor and a neutralizing human antibody. Nature, 1998. 393(6686): p. 648–59. 10.1038/31405 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Liu J, et al. , Molecular architecture of native HIV-1 gp120 trimers. Nature, 2008. 455(7209): p. 109–13. 10.1038/nature07159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Ozorowski G, et al. , Open and closed structures reveal allostery and pliability in the HIV-1 envelope spike. Nature, 2017. 547(7663): p. 360–363. 10.1038/nature23010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Sanders RW and Moore JP, Native-like Env trimers as a platform for HIV-1 vaccine design. Immunol Rev, 2017. 275(1): p. 161–182. 10.1111/imr.12481 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Stadtmueller BM, et al. , DEER Spectroscopy Measurements Reveal Multiple Conformations of HIV-1 SOSIP Envelopes that Show Similarities with Envelopes on Native Virions. Immunity, 2018. 49(2): p. 235–246 e4 10.1016/j.immuni.2018.06.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Freed EO, HIV-1 replication. Somat Cell Mol Genet, 2001. 26(1–6): p. 13–33. 10.1023/A:1021070512287 [DOI] [PubMed] [Google Scholar]
  • 95.Li G and De Clercq E, HIV Genome-Wide Protein Associations: a Review of 30 Years of Research. Microbiol Mol Biol Rev, 2016. 80(3): p. 679–731. 10.1128/MMBR.00065-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Bushman FD, et al. , Host cell factors in HIV replication: meta-analysis of genome-wide studies. PLoS Pathog, 2009. 5(5): p. e1000437 10.1371/journal.ppat.1000437 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Malim MH and Bieniasz PD, HIV Restriction Factors and Mechanisms of Evasion. Cold Spring Harb Perspect Med, 2012. 2(5): p. a006940, 10.1101/cshperspect.a006940 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Saphire AC, et al. , Syndecans serve as attachment receptors for human immunodeficiency virus type 1 on macrophages. J Virol, 2001. 75(19): p. 9187–200. 10.1128/JVI.75.19.9187-9200.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Arthos J, et al. , HIV-1 envelope protein binds to and signals through integrin alpha4beta7, the gut mucosal homing receptor for peripheral T cells. Nat Immunol, 2008. 9(3): p. 301–9. 10.1038/ni1566 [DOI] [PubMed] [Google Scholar]
  • 100.Cicala C, et al. , The integrin alpha4beta7 forms a complex with cell-surface CD4 and defines a T-cell subset that is highly susceptible to infection by HIV-1. Proc Natl Acad Sci U S A, 2009. 106(49): p. 20877–82. 10.1073/pnas.0911796106 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Geijtenbeek TB, et al. , DC-SIGN, a dendritic cell-specific HIV-1-binding protein that enhances trans-infection of T cells. Cell, 2000. 100(5): p. 587–97. 10.1016/S0092-8674(00)80694-7 [DOI] [PubMed] [Google Scholar]
  • 102.Geijtenbeek TB, et al. , Identification of DC-SIGN, a novel dendritic cell-specific ICAM-3 receptor that supports primary immune responses. Cell, 2000. 100(5): p. 575–85. 10.1016/S0092-8674(00)80693-5 [DOI] [PubMed] [Google Scholar]
  • 103.Alkhatib G, Broder CC, and Berger EA, Cell type-specific fusion cofactors determine human immunodeficiency virus type 1 tropism for T-cell lines versus primary macrophages. J Virol, 1996. 70(8): p. 5487–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Deng H, et al. , Identification of a major co-receptor for primary isolates of HIV-1. Nature, 1996. 381(6584): p. 661–6. 10.1038/381661a0 [DOI] [PubMed] [Google Scholar]
  • 105.Doranz BJ, et al. , A dual-tropic primary HIV-1 isolate that uses fusin and the betachemokine receptors CKR-5, CKR-3, and CKR-2b as fusion cofactors. Cell, 1996. 85(7): p. 1149–58. 10.1016/S0092-8674(00)81314-8 [DOI] [PubMed] [Google Scholar]
  • 106.Feng Y, et al. , HIV-1 entry cofactor: functional cDNA cloning of a seventransmembrane, G protein-coupled receptor. Science, 1996. 272(5263): p. 872–7. 10.1126/science.272.5263.872 [DOI] [PubMed] [Google Scholar]
  • 107.Wilen CB, Tilton JC, and Doms RW, HIV: cell binding and entry. Cold Spring Harb Perspect Med, 2012. 2(8). 10.1101/cshperspect.a006866 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Campbell EM and Hope TJ, HIV-1 capsid: the multifaceted key player in HIV-1 infection. Nat Rev Microbiol, 2015. 13(8): p. 471–83. 10.1038/nrmicro3503 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Fassati A, Multiple roles of the capsid protein in the early steps of HIV-1 infection. Virus Res, 2012. 170(1–2): p. 15–24. 10.1016/j.virusres.2012.09.012 [DOI] [PubMed] [Google Scholar]
  • 110.Francis AC and Melikyan GB, Single HIV-1 Imaging Reveals Progression of Infection through CA-Dependent Steps of Docking at the Nuclear Pore, Uncoating, and Nuclear Transport. Cell Host Microbe, 2018. 23(4): p. 536–548 e6 10.1016/j.chom.2018.03.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Yamashita M and Engelman AN, Capsid-Dependent Host Factors in HIV-1 Infection. Trends Microbiol, 2017. 25(9): p. 741–755. 10.1016/j.tim.2017.04.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Jacques DA, et al. , HIV-1 uses dynamic capsid pores to import nucleotides and fuel encapsidated DNA synthesis. Nature, 2016. 536(7616): p. 349–53. 10.1038/nature19098 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Rasaiyaah J, et al. , HIV-1 evades innate immune recognition through specific cofactor recruitment. Nature, 2013. 503(7476): p. 402–405. 10.1038/nature12769 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Yan N, et al. , The cytosolic exonuclease TREX1 inhibits the innate immune response to human immunodeficiency virus type 1. Nat Immunol, 2010. 11(11): p. 1005–13. 10.1038/ni.1941 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Hu WS and Hughes SH, HIV-1 reverse transcription. Cold Spring Harb Perspect Med, 2012. 2(10). 10.1101/cshperspect.a006882 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.De Iaco A and Luban J, Cyclophilin A promotes HIV-1 reverse transcription but its effect on transduction correlates best with its effect on nuclear entry of viral cDNA. Retrovirology, 2014. 11: p. 11 10.1186/1742-4690-11-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Sokolskaja E, Sayah DM, and Luban J, Target cell cyclophilin A modulates human immunodeficiency virus type 1 infectivity. J Virol, 2004. 78(23): p. 12800–8. 10.1128/JVI.78.23.12800-12808.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Miller MD, Farnet CM, and Bushman FD, Human immunodeficiency virus type 1 preintegration complexes: studies of organization and composition. J Virol, 1997. 71(7): p. 5382–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Grandgenett DP, et al. , Multifunctional facets of retrovirus integrase. World J Biol Chem, 2015. 6(3): p. 83–94. 10.4331/wjbc.v6.i3.83 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Hilditch L and Towers GJ, A model for cofactor use during HIV-1 reverse transcription and nuclear entry. Curr Opin Virol, 2014. 4: p. 32–6. 10.1016/j.coviro.2013.11.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Matreyek KA and Engelman A, Viral and cellular requirements for the nuclear entry of retroviral preintegration nucleoprotein complexes. Viruses, 2013. 5(10): p. 2483–511. 10.3390/v5102483 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Van Maele B, et al. , Cellular co-factors of HIV-1 integration. Trends Biochem Sci, 2006. 31(2): p. 98–105. 10.1016/j.tibs.2005.12.002 [DOI] [PubMed] [Google Scholar]
  • 123.Knockenhauer KE and Schwartz TU, The Nuclear Pore Complex as a Flexible and Dynamic Gate. Cell, 2016. 164(6): p. 1162–1171. 10.1016/j.cell.2016.01.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Arhel N, Revisiting HIV-1 uncoating. Retrovirology, 2010. 7: p. 96 10.1186/1742-4690-7-96 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Ambrose Z and Aiken C, HIV-1 uncoating: connection to nuclear entry and regulation by host proteins. Virology, 2014. 454-455: p. 371–9. 10.1016/j.virol.2014.02.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Bejarano DA, et al. , HIV-1 nuclear import in macrophages is regulated by CPSF6-capsid interactions at the nuclear pore complex. Elife, 2019. 8 10.7554/eLife.41800 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Buffone C, et al. , Nup153 Unlocks the Nuclear Pore Complex for HIV-1 Nuclear Translocation in Nondividing Cells. J Virol, 2018. 92(19). 10.1128/JVI.00648-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Price AJ, et al. , Host cofactors and pharmacologic ligands share an essential interface in HIV-1 capsid that is lost upon disassembly. PLoS Pathog, 2014. 10(10): p. e1004459 10.1371/journal.ppat.1004459 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Schaller T, et al. , HIV-1 capsid-cyclophilin interactions determine nuclear import pathway, integration targeting and replication efficiency. PLoS Pathog, 2011. 7(12): p. e1002439 10.1371/journal.ppat.1002439 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Lee K, et al. , Flexible use of nuclear import pathways by HIV-1. Cell Host Microbe, 2010. 7(3): p. 221–33. 10.1016/j.chom.2010.02.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Ciuffi A, et al. , A role for LEDGF/p75 in targeting HIV DNA integration. Nat Med, 2005. 11(12): p. 1287–9. 10.1038/nm1329 [DOI] [PubMed] [Google Scholar]
  • 132.Emiliani S, et al. , Integrase mutants defective for interaction with LEDGF/p75 are impaired in chromosome tethering and HIV-1 replication. J Biol Chem, 2005. 280(27): p. 25517–23. 10.1074/jbc.M501378200 [DOI] [PubMed] [Google Scholar]
  • 133.Poeschla EM, Integrase LEDGF /p75 and HIV replication. Cell Mol Life Sci, 2008. 65(9): p. 1403–24. 10.1007/s00018-008-7540-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Achuthan V, et al. , Capsid-CPSF6 Interaction Licenses Nuclear HIV-1 Trafficking to Sites of Viral DNA Integration. Cell Host Microbe, 2018. 24(3): p. 392–404 e8 10.1016/j.chom.2018.08.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Burdick RC, et al. , Dynamics and regulation of nuclear import and nuclear movements of HIV-1 complexes. PLoS Pathog, 2017. 13(8): p. e1006570 10.1371/journal.ppat.1006570 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Engelman AN and Singh PK, Cellular and molecular mechanisms of HIV-1 integration targeting. Cell Mol Life Sci, 2018. 75(14): p. 2491–2507. 10.1007/s00018-018-2772-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Rasheedi S, et al. , The Cleavage and Polyadenylation Specificity Factor 6 (CPSF6) Subunit of the Capsid-recruited Pre-messenger RNA Cleavage Factor I (CFIm) Complex Mediates HIV-1 Integration into Genes. J Biol Chem, 2016. 291(22): p. 11809–19. 10.1074/jbc.M116.721647 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Sowd GA, et al. , A critical role for alternative polyadenylation factor CPSF6 in targeting HIV-1 integration to transcriptionally active chromatin. Proc Natl Acad Sci U S A, 2016. 113(8): p. E1054–63. 10.1073/pnas.1524213113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Lusic M and Siliciano RF, Nuclear landscape of HIV-1 infection and integration. Nat Rev Microbiol, 2017. 15(2): p. 69–82. 10.1038/nrmicro.2016.162 [DOI] [PubMed] [Google Scholar]
  • 140.Karn J and Stoltzfus CM, Transcriptional and posttranscriptional regulation of HIV-1 gene expression. Cold Spring Harb Perspect Med, 2012. 2(2): p. a006916 10.1101/cshperspect.a006916 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Balasubramaniam M and Freed EO, New insights into HIV assembly and trafficking. Physiology (Bethesda), 2011. 26(4): p. 236–51. 10.1152/physiol.00051.2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Briggs JA, et al. , Structure and assembly of immature HIV. Proc Natl Acad Sci U S A, 2009. 106(27): p. 11090–5. 10.1073/pnas.0903535106 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Sundquist WI and Krausslich HG, HIV-1 assembly, budding, and maturation. Cold Spring Harb Perspect Med, 2012. 2(7): p. a006924 10.1101/cshperspect.a006924 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Checkley MA, Luttge BG, and Freed EO, HIV-1 envelope glycoprotein biosynthesis, trafficking, and incorporation. J Mol Biol, 2011. 410(4): p. 582–608. 10.1016/j.jmb.2011.04.042 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Freed EO, HIV-1 assembly, release and maturation. Nat Rev Microbiol, 2015. 13(8): p. 484–96. 10.1038/nrmicro3490 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Fackler OT, et al. , Adding new dimensions: towards an integrative understanding of HIV-1 spread. Nat Rev Microbiol, 2014. 12(8): p. 563–74. 10.1038/nrmicro3309 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Shaw GM and Hunter E, HIV transmission. Cold Spring Harb Perspect Med, 2012. 2(11). 10.1101/cshperspect.a006965 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Abrahams MR, et al. , Quantitating the multiplicity of infection with human immunodeficiency virus type 1 subtype C reveals a non-poisson distribution of transmitted variants. J Virol, 2009. 83(8): p. 3556–67. 10.1128/JVI.02132-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Derdeyn CA, et al. , Envelope-constrained neutralization-sensitive HIV-1 after heterosexual transmission. Science, 2004. 303(5666): p. 2019–22. 10.1126/science.1093137 [DOI] [PubMed] [Google Scholar]
  • 150.Keele BF, et al. , Identification and characterization of transmitted and early founder virus envelopes in primary HIV-1 infection. Proc Natl Acad Sci U S A, 2008. 105(21): p. 7552–7. 10.1073/pnas.0802203105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Veazey RS, et al. , Protection of macaques from vaginal SHIV challenge by vaginally delivered inhibitors of virus-cell fusion. Nature, 2005. 438(7064): p. 99–102. 10.1038/nature04055 [DOI] [PubMed] [Google Scholar]
  • 152.Li Q, et al. , Glycerol monolaurate prevents mucosal SIV transmission. Nature, 2009. 458(7241): p. 1034–8. 10.1038/nature07831 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Miller CJ, et al. , Propagation and dissemination of infection after vaginal transmission of simian immunodeficiency virus. J Virol, 2005. 79(14): p. 9217–27. 10.1128/JVI.79.14.9217-9227.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Coffin J and Swanstrom R, HIV pathogenesis: dynamics and genetics of viral populations and infected cells. Cold Spring Harb Perspect Med, 2013. 3(1): p. a012526 10.1101/cshperspect.a012526 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Walker B and McMichael A, The T-cell response to HIV. Cold Spring Harb Perspect Med, 2012. 2(11). 10.1101/cshperspect.a007054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Chun TW, et al. , Presence of an inducible HIV-1 latent reservoir during highly active antiretroviral therapy. Proc Natl Acad Sci U S A, 1997. 94(24): p. 13193–7. 10.1073/pnas.94.24.13193 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Chun TW, et al. , Early establishment of a pool of latently infected, resting CD4(+) T cells during primary HIV-1 infection. Proc Natl Acad Sci U S A, 1998. 95(15): p. 8869–73. 10.1073/pnas.95.15.8869 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Siliciano RF and Greene WC, HIV latency. Cold Spring Harb Perspect Med, 2011. 1(1): p. a007096 10.1101/cshperspect.a007096 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Bruner KM, et al. , Defective proviruses rapidly accumulate during acute HIV-1 infection. Nat Med, 2016. 22(9): p. 1043–9. 10.1038/nm.4156 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Hiener B, et al. , Identification of Genetically Intact HIV-1 Proviruses in Specific CD4(+) T Cells from Effectively Treated Participants. Cell Rep, 2017. 21(3): p. 813–822. 10.1016/j.celrep.2017.09.081 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Bruner KM, et al. , A quantitative approach for measuring the reservoir of latent HIV-1 proviruses. Nature, 2019. 566(7742): p. 120–125. 10.1038/s41586-019-0898-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Koenig RE, Gautier T, and Levy JA, Unusual intrafamilial transmission of human immunodeficiency virus. Lancet, 1986. 2(8507):p. 627 10.1016/S0140-6736(86)92448-7 [DOI] [PubMed] [Google Scholar]
  • 163.Chun TW, et al. , Persistence of HIV in gut-associated lymphoid tissue despite longterm antiretroviral therapy. J Infect Dis, 2008. 197(5): p. 714–20. 10.1086/527324 [DOI] [PubMed] [Google Scholar]
  • 164.Barton K, Winckelmann A, and Palmer S, HIV-1 Reservoirs During Suppressive Therapy. Trends Microbiol, 2016. 24(5): p. 345–355. 10.1016/j.tim.2016.01.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Kandathil AJ, Sugawara S, and Balagopal A, Are T cells the only HIV-1 reservoir? Retrovirology, 2016. 13(1): p. 86 10.1186/s12977-016-0323-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Wong JK and Yukl SA, Tissue reservoirs of HIV. Curr Opin HIV AIDS, 2016. 11(4): p. 362–70. 10.1097/COH.0000000000000293 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Vanhamel J, Bruggemans A, and Debyser Z, Establishment of latent HIV-1 reservoirs: what do we really know? J Virus Erad, 2019. 5(1): p. 3–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Siliciano JD, et al. , Long-term follow-up studies confirm the stability of the latent reservoir for HIV-1 in resting CD4+ T cells. Nat Med, 2003. 9(6): p. 727–8. 10.1038/nm880 [DOI] [PubMed] [Google Scholar]
  • 169.Chomont N, et al. , HIV reservoir size and persistence are driven by T cell survival and homeostatic proliferation. Nat Med, 2009. 15(8): p. 893–900. 10.1038/nm.1972 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Whitney JB, et al. , Rapid seeding of the viral reservoir prior to SIV viraemia in rhesus monkeys. Nature, 2014. 512(7512): p. 74–7. 10.1038/nature13594 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Henrich TJ, et al. , HIV-1 persistence following extremely early initiation of antiretroviral therapy (ART) during acute HIV-1 infection: An observational study. PLoS Med, 2017. 14(11): p. e1002417 10.1371/journal.pmed.1002417 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Hosmane NN, et al. , Proliferation of latently infected CD4(+) T cells carrying replication-competent HIV-1: Potential role in latent reservoir dynamics. J Exp Med, 2017. 214(4): p. 959–972. 10.1084/jem.20170193 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Maldarelli F, et al. , HIV latency. Specific HIV integration sites are linked to clonal expansion and persistence of infected cells. Science, 2014. 345(6193): p. 179–83. 10.1126/science.1254194 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Murray AJ, et al. , The Latent Reservoir for HIV-1: How Immunologic Memory and Clonal Expansion Contribute to HIV-1 Persistence. J Immunol, 2016. 197(2): p. 407–17. 10.4049/jimmunol.1600343 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Wagner TA, et al. , HIV latency. Proliferation of cells with HIV integrated into cancer genes contributes to persistent infection. Science, 2014. 345(6196): p. 570–3. 10.1126/science.1256304 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 176.Wang Z, et al. , Expanded cellular clones carrying replication-competent HIV-1 persist, wax, and wane. Proc Natl Acad Sci U S A, 2018. 115(11): p. E2575–E2584. 10.1073/pnas.1720665115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Maldarelli F, The role of HIV integration in viral persistence: no more whistling past the proviral graveyard. J Clin Invest, 2016. 126(2): p. 438–47. 10.1172/JCI80564 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Simonetti FR, et al. , Clonally expanded CD4+ T cells can produce infectious HIV-1 in vivo. Proc Natl Acad Sci U S A, 2016. 113(7): p. 1883–8. 10.1073/pnas.1522675113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Anderson EM and Maldarelli F, The role of integration and clonal expansion in HIV infection: live long and prosper. Retrovirology, 2018. 15(1): p. 71 10.1186/s12977-018-0448-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Wiegand A, et al. , Single-cell analysis of HIV-1 transcriptional activity reveals expression of proviruses in expanded clones during ART. Proc Natl Acad Sci U S A, 2017. 114(18): p. E3659–E3668. 10.1073/pnas.1617961114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Lorenzi JC, et al. , Paired quantitative and qualitative assessment of the replicationcompetent HIV-1 reservoir and comparison with integrated proviral DNA. Proc Natl Acad Sci U S A, 2016. 113(49): p. E7908–E7916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Bui JK, et al. , Proviruses with identical sequences comprise a large fraction of the replication-competent HIV reservoir. PLoS Pathog, 2017. 13(3): p. e1006283 10.1371/journal.ppat.1006283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183.Agosto LM, et al. , HIV-1-Infected CD4+ T Cells Facilitate Latent Infection of Resting CD4+ T Cells through Cell-Cell Contact. Cell Rep, 2018. 24(8): p. 2088–2100. 10.1016/j.celrep.2018.07.079 [DOI] [PubMed] [Google Scholar]
  • 184.Sigal A, et al. , Cell-to-cell spread of HIV permits ongoing replication despite antiretroviral therapy. Nature, 2011. 477(7362): p. 95–8. 10.1038/nature10347 [DOI] [PubMed] [Google Scholar]
  • 185.Chun TW and Fauci AS, Latent reservoirs of HIV: obstacles to the eradication of virus. Proc Natl Acad Sci U S A, 1999. 96(20): p. 10958–61. 10.1073/pnas.96.20.10958 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Borrow P, et al. , Antiviral pressure exerted by HIV-1-specific cytotoxic T lymphocytes (CTLs) during primary infection demonstrated by rapid selection of CTL escape virus. Nat Med, 1997. 3(2): p. 205–11. 10.1038/nm0297-205 [DOI] [PubMed] [Google Scholar]
  • 187.Deng K, et al. , Broad CTL response is required to clear latent HIV-1 due to dominance of escape mutations. Nature, 2015. 517(7534): p. 381–5. 10.1038/nature14053 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.Goulder PJ, et al. , Late escape from an immunodominant cytotoxic T-lymphocyte response associated with progression to AIDS. Nat Med, 1997. 3(2): p. 212–7. 10.1038/nm0297-212 [DOI] [PubMed] [Google Scholar]
  • 189.Kwong PD, et al. , HIV-1 evades antibodymediated neutralization through conformational masking of receptor-binding sites. Nature, 2002. 420(6916): p. 678–82. 10.1038/nature01188 [DOI] [PubMed] [Google Scholar]
  • 190.Price DA, et al. , Positive selection of HIV-1 cytotoxic T lymphocyte escape variants during primary infection. Proc Natl Acad Sci U S A, 1997. 94(5): p. 1890–5. 10.1073/pnas.94.5.1890 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Richman DD, et al. , Rapid evolution of the neutralizing antibody response to HIV type 1 infection. Proc Natl Acad Sci U S A, 2003. 100(7): p. 4144–9. 10.1073/pnas.0630530100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.Wei X, et al. , Antibody neutralization and escape by HIV-1. Nature, 2003. 422(6929): p. 307–12. 10.1038/nature01470 [DOI] [PubMed] [Google Scholar]
  • 193.Piatak M Jr., et al. , High levels of HIV-1 in plasma during all stages of infection determined by competitive PCR. Science, 1993. 259(5102): p. 1749–54. 10.1126/science.8096089 [DOI] [PubMed] [Google Scholar]
  • 194.Shan L, et al. , Transcriptional Reprogramming during Effector-to-Memory Transition Renders CD4(+) T Cells Permissive for Latent HIV-1 Infection. Immunity, 2017. 47(4): p. 766–775 e3. 10.1016/j.immuni.2017.09.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195.Delannoy A, Poirier M, and Bell B, Cat and Mouse: HIV Transcription in Latency, Immune Evasion and Cure/Remission Strategies. Viruses, 2019. 11(3). 10.3390/v11030269 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Cary DC, Fujinaga K, and Peterlin BM, Molecular mechanisms of HIV latency. J Clin Invest, 2016. 126(2): p. 448–54. 10.1172/JCI80565 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Chavez L, Calvanese V, and Verdin E, HIV Latency Is Established Directly and Early in Both Resting and Activated Primary CD4 T Cells. PLoS Pathog, 2015. 11(6): p. e1004955 10.1371/journal.ppat.1004955 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 198.Tilton CA, et al. , A combination HIV reporter virus system for measuring post-entry event efficiency and viral outcome in primary CD4+ T cell subsets. J Virol Methods, 2014. 195: p. 164–9. 10.1016/j.jviromet.2013.08.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Hrecka K, et al. , Vpx relieves inhibition of HIV-1 infection of macrophages mediated by the SAMHD1 protein. Nature, 2011. 474(7353): p. 658–61. 10.1038/nature10195 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Laguette N, et al. , SAMHD1 is the dendritic- and myeloid-cell-specific HIV-1 restriction factor counteracted by Vpx. Nature, 2011. 474(7353): p. 654–7. 10.1038/nature10117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Baldauf HM, et al. , SAMHD1 restricts HIV-1 infection in resting CD4(+) T cells. Nat Med, 2012. 18(11): p. 1682–7. 10.1038/nm.2964 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Descours B, et al. , SAMHD1 restricts HIV-1 reverse transcription in quiescent CD4(+) Tcells. Retrovirology, 2012. 9: p. 87 10.1186/1742-4690-9-87 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 203.Kilzer JM, et al. , Roles of host cell factors in circularization of retroviral dna. Virology, 2003. 314(1): p. 460–7. 10.1016/S0042-6822(03)00455-0 [DOI] [PubMed] [Google Scholar]
  • 204.Martinez-Picado J, et al. , Episomal HIV-1 DNA and its relationship to other markers of HIV-1 persistence. Retrovirology, 2018. 15(1): p. 15 10.1186/s12977-018-0398-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 205.Thierry S, et al. , Integrase inhibitor reversal dynamics indicate unintegrated HIV-1 dna initiate de novo integration. Retrovirology, 2015. 12: p. 24 10.1186/s12977-015-0153-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Richetta C, et al. , Two-long terminal repeat (LTR) DNA circles are a substrate for HIV-1 integrase. J Biol Chem, 2019. 294(20): p. 8286–8295. 10.1074/jbc.RA118.006755 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207.Sengupta S and Siliciano RF, Targeting the Latent Reservoir for HIV-1. Immunity, 2018. 48(5): p. 872–895. 10.1016/j.immuni.2018.04.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Davenport MP, et al. , Functional cure of HIV: the scale of the challenge. Nat Rev Immunol, 2019. 19(1): p. 45–54. 10.1038/s41577-018-0085-4 [DOI] [PubMed] [Google Scholar]
  • 209.Allers K, et al. , Evidence for the cure of HIV infection by CCR5Delta32/Delta32 stem cell transplantation. Blood, 2011. 117(10): p. 2791–9. 10.1182/blood-2010-09-309591 [DOI] [PubMed] [Google Scholar]
  • 210.Hutter G, et al. , Long-term control of HIV by CCR5 Delta32/Delta32 stem-cell transplantation. N Engl J Med, 2009. 360(7): p. 692–8. 10.1056/NEJMoa0802905 [DOI] [PubMed] [Google Scholar]
  • 211.Verheyen J, et al. , Rapid Rebound of a Preexisting CXCR4-tropic Human Immunodeficiency Virus Variant After Allogeneic Transplantation With CCR5 Delta32 Homozygous Stem Cells. Clin Infect Dis, 2019. 68(4): p. 684–687. 10.1093/cid/ciy565 [DOI] [PubMed] [Google Scholar]
  • 212.Persaud D, et al. , Absence of detectable HIV-1 viremia after treatment cessation in an infant. N Engl J Med, 2013. 369(19): p. 1828–35. 10.1056/NEJMoa1302976 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213.Luzuriaga K, et al. , Viremic relapse after HIV-1 remission in a perinatally infected child. N Engl J Med, 2015. 372(8): p. 786–8. 10.1056/NEJMc1413931 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214.Ananworanich J, et al. , HIV DNA Set Point is Rapidly Established in Acute HIV Infection and Dramatically Reduced by Early ART. EBioMedicine, 2016. 11: p. 68–72. 10.1016/j.ebiom.2016.07.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 215.Laanani M, et al. , Impact of the Timing of Initiation of Antiretroviral Therapy During Primary HIV-1 Infection on the Decay of Cell-Associated HIV-DNA. Clin Infect Dis, 2015. 60(11): p. 1715–21. 10.1093/cid/civ171 [DOI] [PubMed] [Google Scholar]
  • 216.Richman DD, et al. , The challenge of finding a cure for HIV infection. Science, 2009. 323(5919): p. 1304–7. 10.1126/science.1165706 [DOI] [PubMed] [Google Scholar]
  • 217.Deeks SG, HIV: Shock and kill. Nature, 2012. 487(7408): p. 439–40. 10.1038/487439a [DOI] [PubMed] [Google Scholar]
  • 218.Archin NM, et al. , Administration of vorinostat disrupts HIV-1 latency in patients on antiretroviral therapy. Nature, 2012. 487(7408): p. 482–5. 10.1038/nature11286 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219.Archin NM and Margolis DM, Emerging strategies to deplete the HIV reservoir. Curr Opin Infect Dis, 2014. 27(1): p. 29–35. 10.1097/QCO.0000000000000026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Shan L, et al. , Stimulation of HIV-1-specific cytolytic T lymphocytes facilitates elimination of latent viral reservoir after virus reactivation. Immunity, 2012. 36(3): p. 491–501. 10.1016/j.immuni.2012.01.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Eriksson S, et al. , Comparative analysis of measures of viral reservoirs in HIV-1 eradication studies. PLoS Pathog, 2013. 9(2): p. e1003174 10.1371/journal.ppat.1003174 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 222.Crooks AM, et al. , Precise Quantitation of the Latent HIV-1 Reservoir: Implications for Eradication Strategies. J Infect Dis, 2015. 212(9): p. 1361–5. 10.1093/infdis/jiv218 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223.Cohn LB, et al. , HIV-1 integration landscape during latent and active infection. Cell, 2015. 160(3): p. 420–32. 10.1016/j.cell.2015.01.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.Imamichi H, et al. , Defective HIV-1 proviruses produce novel protein-coding RNA species in HIV-infected patients on combination antiretroviral therapy. Proc Natl Acad Sci U S A, 2016. 113(31): p. 8783–8. 10.1073/pnas.1609057113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225.Pollack RA, et al. , Defective HIV-1 Proviruses Are Expressed and Can Be Recognized by Cytotoxic T Lymphocytes, which Shape the Proviral Landscape. Cell Host Microbe, 2017. 21(4): p. 494–506 e4 10.1016/j.chom.2017.03.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Kim Y, Anderson JL, and Lewin SR, Getting the “Kill” into “Shock and Kill”: Strategies to Eliminate Latent HIV. Cell Host Microbe, 2018. 23(1): p. 14–26. 10.1016/j.chom.2017.12.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.Spina CA, et al. , An in-depth comparison of latent HIV-1 reactivation in multiple cell model systems and resting CD4+ T cells from aviremic patients. PLoS Pathog, 2013. 9(12): p. e1003834 10.1371/journal.ppat.1003834 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228.Kim M, et al. , A primary CD4(+) T cell model of HIV-1 latency established after activation through the T cell receptor and subsequent return to quiescence. Nat Protoc, 2014. 9(12): p. 2755–70. 10.1038/nprot.2014.188 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229.Deeks SG, et al. , Immune activation set point during early HIV infection predicts subsequent CD4+ T-cell changes independent of viral load. Blood, 2004. 104(4): p. 942–7. 10.1182/blood-2003-09-3333 [DOI] [PubMed] [Google Scholar]
  • 230.Gandhi RT and Walker BD, Immunologic control of HIV-1. Annu Rev Med, 2002. 53: p. 149–72. 10.1146/annurev.med.53.082901.104011 [DOI] [PubMed] [Google Scholar]
  • 231.Ogg GS, et al. , Quantitation of HIV-1-specific cytotoxic T lymphocytes and plasma load of viral RNA. Science, 1998. 279(5359): p. 2103–6. 10.1126/science.279.5359.2103 [DOI] [PubMed] [Google Scholar]
  • 232.Hewitt EW The MHC class I antigen presentation pathway: strategies for viral immune evasion. Immunology. 2003. 110(2): p. 163–169, DOI: 10.1046/j.1365-2567.2003.01738.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 233.Dustin ML and Long EO, Cytotoxic immunological synapses. Immunol Rev, 2010. 235(1): p. 24–34. 10.1111/j.0105-2896.2010.00904.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 234.Halle S, Halle O, and Forster R, Mechanisms and Dynamics of T Cell-Mediated Cytotoxicity In Vivo. Trends Immunol, 2017. 38(6): p. 432–443. 10.1016/j.it.2017.04.002 [DOI] [PubMed] [Google Scholar]
  • 235.Yang OO, et al. , Efficient lysis of human immunodeficiency virus type 1-infected cells by cytotoxic T lymphocytes. J Virol, 1996. 70(9): p. 5799–806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Schmitz JE, et al. , Control of viremia in simian immunodeficiency virus infection by CD8+ lymphocytes. Science, 1999. 283(5403): p. 857–60. 10.1126/science.283.5403.857 [DOI] [PubMed] [Google Scholar]
  • 237.Allen TM, et al. , Selective escape from CD8+ T-cell responses represents a major driving force of human immunodeficiency virus type 1 (HIV-1) sequence diversity and reveals constraints on HIV-1 evolution. J Virol, 2005. 79(21): p. 13239–49. 10.1128/JVI.79.21.13239-13249.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 238.Cao J, et al. , Evolution of CD8+ T cell immunity and viral escape following acute HIV-1 infection. J Immunol, 2003. 171(7): p. 3837–46. 10.4049/jimmunol.171.7.3837 [DOI] [PubMed] [Google Scholar]
  • 239.Goulder PJ, et al. , Evolution and transmission of stable CTL escape mutations in HIV infection. Nature, 2001. 412(6844): p. 334–8. 10.1038/35085576 [DOI] [PubMed] [Google Scholar]
  • 240.Cocchi F, et al. , Identification of RANTES, MIP-1 alpha, and MIP-1 beta as the major HIVsuppressive factors produced by CD8+ T cells. Science, 1995. 270(5243): p. 1811–5. 10.1126/science.270.5243.1811 [DOI] [PubMed] [Google Scholar]
  • 241.Zanussi S, et al. , CD8+ lymphocyte phenotype and cytokine production in longterm non-progressor and in progressor patients with HIV-1 infection. Clin Exp Immunol, 1996. 105(2): p. 220–4. 10.1046/j.1365-2249.1996.d01-746.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242.Migueles SA and Connors M, Success and failure of the cellular immune response against HIV-1. Nat Immunol, 2015. 16(6): p. 563–70. 10.1038/ni.3161 [DOI] [PubMed] [Google Scholar]
  • 243.Moore CB, et al. , Evidence of HIV-1 adaptation to HLA-restricted immune responses at a population level. Science, 2002. 296(5572): p. 1439–43. 10.1126/science.1069660 [DOI] [PubMed] [Google Scholar]
  • 244.Martin E, et al. , Early immune adaptation in HIV-1 revealed by population-level approaches. Retrovirology, 2014. 11: p. 64 10.1186/PREACCEPT-8878001841312932 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 245.Carlson JM, et al. , HIV-1 adaptation to HLA: a window into virus-host immune interactions. Trends Microbiol, 2015. 23(4): p. 212–24. 10.1016/j.tim.2014.12.008 [DOI] [PubMed] [Google Scholar]
  • 246.Wang C, Singer M, and Anderson AC, Molecular Dissection of CD8(+) T-Cell Dysfunction. Trends Immunol, 2017. 38(8): p. 567–576. 10.1016/j.it.2017.05.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Du Y, et al. , Effects of Mutations on Replicative Fitness and Major Histocompatibility Complex Class I Binding Affinity Are Among the Determinants Underlying Cytotoxic-T-Lymphocyte Escape of HIV-1 Gag Epitopes. MBio, 2017. 8(6). 10.1128/mBio.01050-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 248.Kloverpris HN, et al. , CD8+ TCR Bias and Immunodominance in HIV-1 Infection. J Immunol, 2015. 194(11): p. 5329–45. 10.4049/jimmunol.1400854 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 249.Goepfert PA, et al. , Transmission of HIV-1 Gag immune escape mutations is associated with reduced viral load in linked recipients. J Exp Med, 2008. 205(5): p. 1009–17. 10.1084/jem.20072457 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 250.Crawford H, et al. , Evolution of HLAB* 5703 HIV-1 escape mutations in HLAB* 5703-positive individuals and their transmission recipients. J Exp Med, 2009. 206(4): p. 909–21. 10.1084/jem.20081984 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251.Adland E, et al. , Discordant Impact of HLA on Viral Replicative Capacity and Disease Progression in Pediatric and Adult HIV Infection. PLoS Pathog, 2015. 11(6): p. e1004954 10.1371/journal.ppat.1004954 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 252.Carlson JM, et al. , HIV transmission.Selection bias at the heterosexual HIV-1 transmission bottleneck. Science, 2014. 345(6193): p. 1254031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Day CL, et al. , PD-1 expression on HIVspecific T cells is associated with T-cell exhaustion and disease progression. Nature, 2006. 443(7109): p. 350–4. 10.1038/nature05115 [DOI] [PubMed] [Google Scholar]
  • 254.Trautmann L, et al. , Upregulation of PD-1 expression on HIV-specific CD8+ T cells leads to reversible immune dysfunction. Nat Med, 2006. 12(10): p. 1198–202. 10.1038/nm1482 [DOI] [PubMed] [Google Scholar]
  • 255.Cartwright EK, et al. , CD8(+) Lymphocytes Are Required for Maintaining Viral Suppression in SIV-Infected Macaques Treated with Short-Term Antiretroviral Therapy. Immunity, 2016. 45(3): p. 656–668. 10.1016/j.immuni.2016.08.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 256.Huang SH, et al. , Latent HIV reservoirs exhibit inherent resistance to elimination by CD8+ T cells. J Clin Invest, 2018. 128(2): p. 876–889. 10.1172/JCI97555 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 257.Sacha JB, et al. , Gag-specific CD8+ T lymphocytes recognize infected cells before AIDS-virus integration and viral protein expression. J Immunol, 2007. 178(5): p. 2746–54. 10.4049/jimmunol.178.5.2746 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258.Payne RP, et al. , Efficacious early antiviral activity of HIV Gag- and Pol-specific HLA-B 2705-restricted CD8+ T cells. J Virol, 2010. 84(20): p. 10543–57. 10.1128/JVI.00793-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 259.Kloverpris HN, et al. , Early antigen presentation of protective HIV-1 KF11Gag and KK10Gag epitopes from incoming viral particles facilitates rapid recognition of infected cells by specific CD8+ T cells. J Virol, 2013. 87(5): p. 2628–38. 10.1128/JVI.02131-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 260.Buckheit RW 3rd, Siliciano RF, and Blankson JN, Primary CD8+ T cells from elite suppressors effectively eliminate nonproductively HIV-1 infected resting and activated CD4+ T cells. Retrovirology, 2013. 10: p. 68 10.1186/1742-4690-10-68 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 261.Monel B, et al. , HIV Controllers Exhibit Effective CD8(+) T Cell Recognition of HIV-1-Infected Non-activated CD4(+) T Cells. Cell Rep, 2019. 27(1): p. 142–153 e4 10.1016/j.celrep.2019.03.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 262.Saez-Cirion A, et al. , Post-treatment HIV-1 controllers with a long-term virological remission after the interruption of early initiated antiretroviral therapy ANRS VISCONTI Study. PLoS Pathog, 2013. 9(3): p. e1003211 10.1371/journal.ppat.1003211 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263.Walker BD, Elite control of HIV Infection: implications for vaccines and treatment. Top HIV Med, 2007. 15(4): p. 134–6. [PubMed] [Google Scholar]
  • 264.Naranbhai V and Carrington M, Host genetic variation and HIV disease: from mapping to mechanism. Immunogenetics, 2017. 69(8–9): p. 489–498. 10.1007/s00251-017-1000-Z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 265.Blankson JN, Effector mechanisms in HIV-1 infected elite controllers: highly active immune responses? Antiviral Res, 2010. 85(1): p. 295–302. 10.1016/j.antiviral.2009.08.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 266.Blankson JN, Control of HIV-1 replication in elite suppressors. Discov Med, 2010. 9(46): p. 261–6 [PubMed] [Google Scholar]
  • 267.Migueles SA, et al. , Lytic granule loading of CD8+ T cells is required for HIV-infected cell elimination associated with immune control. Immunity, 2008. 29(6): p. 1009–21. 10.1016/j.immuni.2008.10.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 268.Ndhlovu ZM, et al. , High-dimensional immunomonitoring models of HIV-1-specific CD8 T-cell responses accurately identify subjects achieving spontaneous viral control. Blood, 2013. 121(5): p. 801–11. 10.1182/blood-2012-06-436295 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 269.Gonzalo-Gil E, Ikediobi U, and Sutton RE, Mechanisms of Virologic Control and Clinical Characteristics of HIV+ Elite/Viremic Controllers. Yale J Biol Med, 2017. 90(2): p. 245–259. [PMC free article] [PubMed] [Google Scholar]
  • 270.Buckheit RW 3rd, et al. , Host factors dictate control of viral replication in two HIV-1 controller/chronic progressor transmission pairs. Nat Commun, 2012. 3: p. 716 10.1038/ncomms1697 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 271.Carrington M and Walker BD, Immunogenetics of spontaneous control of HIV. Annu Rev Med, 2012. 63: p. 131–45. 10.1146/annurev-med-062909-130018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 272.Goulder P and Deeks SG, HIV control: Is getting there the same as staying there? PLoS Pathog, 2018. 14(11): p. e1007222 10.1371/journal.ppat.1007222 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 273.Goulder PJ and Walker BD, HIV and HLA class I: an evolving relationship. Immunity, 2012. 37(3): p. 426–40. 10.1016/j.immuni.2012.09.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 274.Loffredo JT, et al. , Two MHC class I molecules associated with elite control of immunodeficiency virus replication, Mamu-B*08 and HLA-B*2705, bind peptides with sequence similarity. J Immunol, 2009. 182(12): p. 7763–75. 10.4049/jimmunol.0900111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 275.Mothe BR, et al. , Characterization of the peptide-binding specificity of Mamu-B*17 and identification of Mamu-B*17-restricted epitopes derived from simian immunodeficiency virus proteins. J Immunol, 2002. 169(1): p. 210–9. 10.4049/jimmunol.169.1.210 [DOI] [PubMed] [Google Scholar]
  • 276.Loffredo JT, et al. , Patterns of CD8+ immunodominance may influence the ability of Mamu-B*08-positive macaques to naturally control simian immunodeficiency virus SIVmac239 replication. J Virol, 2008. 82(4): p. 1723–38. 10.1128/JVI.02084-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 277.Loffredo JT, et al. , CD8+ T cells from SIV elite controller macaques recognize Mamu-B*08-bound epitopes and select for widespread viral variation. PLoS One, 2007. 2(11): p. e1152 10.1371/journal.pone.0001152 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 278.Loffredo JT, et al. , Mamu-B*08-positive macaques control simian immunodeficiency virus replication. J Virol, 2007. 81(16): p. 8827–32. 10.1128/JVI.00895-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 279.Betts MR, et al. , HIV nonprogressors preferentially maintain highly functional HIVspecific CD8+ T cells. Blood, 2006. 107(12): p. 4781–9. 10.1182/blood-2005-12-4818 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 280.Berger CT, et al. , High-functional-avidity cytotoxic T lymphocyte responses to HLA-Brestricted Gag-derived epitopes associated with relative HIV control. J Virol, 2011. 85(18): p. 9334–45. 10.1128/JVI.00460-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 281.Almeida JR, et al. , Superior control of HIV-1 replication by CD8+ T cells is reflected by their avidity, polyfunctionality, and clonal turnover. J Exp Med, 2007. 204(10): p. 2473–85. 10.1084/jem.20070784 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 282.Saez-Cirion A, et al. , HIV controllers exhibit potent CD8 T cell capacity to suppress HIV infection ex vivo and peculiar cytotoxic T lymphocyte activation phenotype. Proc Natl Acad Sci U S A, 2007. 104(16): p. 6776–81. 10.1073/pnas.0611244104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 283.Carriere M, et al. , HIV “elite controllers” are characterized by a high frequency of memory CD8+ CD73+ T cells involved in the antigen-specific CD8+ T-cell response. J Infect Dis, 2014. 209(9): p. 1321–30. 10.1093/infdis/jit643 [DOI] [PubMed] [Google Scholar]
  • 284.Zhang JY, et al. , PD-1 up-regulation is correlated with HIV-specific memory CD8+ Tcell exhaustion in typical progressors but not in long-term nonprogressors. Blood, 2007. 109(11): p. 4671–8. 10.1182/blood-2006-09-044826 [DOI] [PubMed] [Google Scholar]
  • 285.Mendoza D, et al. , Comprehensive analysis of unique cases with extraordinary control over HIV replication. Blood, 2012. 119(20): p. 4645–55. 10.1182/blood-2011-10-381996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 286.Elahi S, et al. , Protective HIV-specific CD8+ T cells evade Treg cell suppression. Nat Med, 2011. 17(8): p. 989–95. 10.1038/nm.2422 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 287.Buckheit RW 3rd, et al. , Inhibitory potential of subpopulations of CD8+ T cells in HIV-1-infected elite suppressors. J Virol, 2012. 86(24): p. 13679–88. 10.1128/JVI.02439-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 288.Borghans JA, et al. , HLA alleles associated with slow progression to AIDS truly prefer to present HIV-1 p24. PLoS One, 2007. 2(9): p. e920 10.1371/journal.pone.0000920 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 289.Gorin AM, et al. , HIV-1 epitopes presented by MHC class I types associated with superior immune containment of viremia have highly constrained fitness landscapes. PLoS Pathog, 2017. 13(8): p. e1006541 10.1371/journal.ppat.1006541 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 290.Bartha I, et al. , A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control. Elife, 2013. 2: p. e01123 10.7554/eLife.01123 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 291.Bartha I, et al. , Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control. PLoS Comput Biol, 2017. 13(2): p. e1005339 10.1371/journal.pcbi.1005339 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 292.Chen H, et al. , Differential neutralization of human immunodeficiency virus (HIV) replication in autologous CD4 T cells by HIVspecific cytotoxic T lymphocytes. J Virol, 2009. 83(7): p. 3138–49. 10.1128/JVI.02073-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 293.Kiepiela P, et al. , CD8+ T-cell responses to different HIV proteins have discordant associations with viral load. Nat Med, 2007. 13(1): p. 46–53. 10.1038/nm1520 [DOI] [PubMed] [Google Scholar]
  • 294.Kelleher AD, et al. , Clustered mutations in HIV-1 gag are consistently required for escape from HLA-B27-restricted cytotoxic T lymphocyte responses. J Exp Med, 2001. 193(3): p. 375–86. 10.1084/jem.193.3.375 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 295.Schneidewind A, et al. , Escape from the dominant HLA-B27-restricted cytotoxic Tlymphocyte response in Gag is associated with a dramatic reduction in human immunodeficiency virus type 1 replication. J Virol, 2007. 81(22): p. 12382–93. 10.1128/JVI.01543-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 296.Schneidewind A, et al. , Structural and functional constraints limit options for cytotoxic T-lymphocyte escape in the immunodominant HLA-B27-restricted epitope in human immunodeficiency virus type 1 capsid. J Virol, 2008. 82(11): p. 5594–605. 10.1128/JVI.02356-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 297.Feeney ME, et al. , Immune escape precedes breakthrough human immunodeficiency virus type 1 viremia and broadening of the cytotoxic T-lymphocyte response in an HLA-B27-positive long-termnonprogressing child. J Virol, 2004. 78(16): p. 8927–30. 10.1128/JVI.78.16.8927-8930.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 298.Battivelli E, et al. , Gag cytotoxic T lymphocyte escape mutations can increase sensitivity of HIV-1 to human TRIM5alpha, linking intrinsic and acquired immunity. J Virol, 2011. 85(22): p. 11846–54. 10.1128/JVI.05201-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 299.Granier C, et al. , Pressure from TRIM5alpha contributes to control of HIV-1 replication by individuals expressing protective HLA-B alleles. J Virol, 2013. 87(18): p. 10368–80. 10.1128/JVI.01313-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 300.Merindol N, et al. , HIV-1 capsids from B27/B57+ elite controllers escape Mx2 but are targeted by TRIM5alpha, leading to the induction of an antiviral state. PLoS Pathog, 2018. 14(11): p. e1007398 10.1371/journal.ppat.1007398 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 301.Joglekar AV, et al. , T cell receptors for the HIV KK10 epitope from patients with differential immunologic control are functionally indistinguishable. Proc Natl Acad Sci U S A, 2018. 115(8): p. 1877–1882. 10.1073/pnas.1718659115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 302.Hansen SG, et al. , Profound early control of highly pathogenic SIV by an effector memory T-cell vaccine. Nature, 2011. 473(7348): p. 523–7. 10.1038/nature10003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 303.Hansen SG, et al. , Immune clearance of highly pathogenic SIV infection. Nature, 2013. 502(7469): p. 100–4. 10.1038/nature12519 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 304.Pernas B, et al. , Plasma mitochondrial DNA levels are inversely associated with HIVRNA levels and directly with CD4 counts: potential role as a biomarker of HIV replication. J Antimicrob Chemother, 2017. 72(11): p. 3159–3162. 10.1093/jac/dkx272 [DOI] [PubMed] [Google Scholar]
  • 305.Rodriguez-Gallego E, et al. , A baseline metabolomic signature is associated with immunological CD4+ T-cell recovery after 36 months of antiretroviral therapy in HIVinfected patients. AIDS, 2018. 32(5): p. 565–573. 10.1097/QAD.0000000000001730 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 306.Bruel T and Schwartz O, Markers of the HIV-1 reservoir: facts and controversies. Curr Opin HIV AIDS, 2018. 13(5): p. 383–388. 10.1097/COH.0000000000000482 [DOI] [PubMed] [Google Scholar]
  • 307.Chowdhury FZ, et al. , Metabolic pathway activation distinguishes transcriptional signatures of CD8+ T cells from HIV-1 elite controllers. AIDS, 2018. 32(18): p. 2669–2677. 10.1097/QAD.0000000000002007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 308.Hocini H, et al. , HIV Controllers Have Low Inflammation Associated with a Strong HIV-Specific Immune Response in Blood. J Virol, 2019. 93(10). 10.1128/JVI.01690-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 309.Tarancon-Diez L, et al. , Immunometabolism is a key factor for the persistent spontaneous elite control of HIV-1 infection. EBioMedicine, 2019. 42: p. 86–96. 10.1016/j.ebiom.2019.03.004 [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES