The HIV-1 pandemic continues to expand while no effective vaccine or cure is yet available. Existing therapies have managed to limit mortality and control viral proliferation, but are associated with side effects, do not cure the disease and are subject to development of resistance. Finding new therapeutic targets and drugs is therefore crucial. We have previously shown that the dendritic cell immunoreceptor (DCIR), a C-type lectin receptor expressed on dendritic cells (DCs), acts as an attachment factor for HIV-1 to DCs and contributes to HIV-1 transmission to CD4+ T lymphocytes (CD4TL). Directly involved in HIV-1 infection, DCIR is expressed in apoptotic or infected CD4TL and promotes trans-infection to bystander cells. Here we report the 3D modelling of the extracellular domain of DCIR. Based on this structure, two surface accessible pockets containing the carbohydrate recognition domain and the EPS binding motif, respectively, were targeted for screening of chemicals that will disrupt normal interaction with HIV-1 particle. Preliminary screening using Raji-CD4-DCIR cells allowed identification of two inhibitors that decreased HIV-1 attachment and propagation. The impact of these inhibitors on infection of DCs and CD4TL was evaluated as well. The results of this study thus identify novel molecules capable of blocking HIV-1 transmission by DCs and CD4TL.
Citation: Lambert AA, Azzi A, Lin S-X, Allaire G, St-Gelais KP, Tremblay MJ, et al. (2013) Dendritic Cell Immunoreceptor Is a New Target for Anti-AIDS Drug Development: Identification of DCIR/HIV-1 Inhibitors. PLoS ONE 8(7): e67873. doi:10.1371/journal.pone.0067873
Editor: Adriano Boasso, Imperial College London, United Kingdom
Received: February 7, 2013; Accepted: May 23, 2013; Published: July 9, 2013
Copyright: © 2013 Lambert et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by startup funding allotted to C.G. by the CRCHUQ, and by operating grants to C.G., M.J.T, from the Canadian Institutes of Health Research (CIHR) (MOP-188726 HIV/AIDs initiative, 79542 respectively). A.A.L. holds a CIHR Doctoral Award. C.G. is the recipient of a Junior 1 Scholarship Award from the Fonds de la Recherche en Santé du Québec and of a New Investigator Award from the CIHR/HIV/AIDs initiative. M.J.T. holds the Canada Research Chair in Human Immuno-Retrovirology (Tier 1 level). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The discovery of new therapeutic targets and the development of new therapeutic approaches are necessary in order to pursue the fight against human immunodeficiency virus type 1 (HIV-1). The drugs currently available or in development for treating HIV-1 infection target the virus itself and its replication mechanisms and thus risk selecting resistant variants. Although these treatments increase the lifespan of patients, they also contribute to increased co-morbidity . Studies of a simian model and more recently of human HIV-1 show that treatment during the acute phase of infection improves the immune response to the virus , . It has been demonstrated that early events in HIV-1 infection are highly determinant in the irreversible damage inflicted to key immune cells , , , , . To maintain vital immune competency, it is crucial to find new targets involved in the first steps of viral transmission and prevent the devastating initial damage to the immune system.
The first immune cells to establish contact with invading HIV-1 are dendritic cells (DCs), which then communicate with cells of both the innate and adaptive immune systems , . DCs are intricately involved in the initial response to HIV-1- , , . During primary infection, HIV-1 in mucosal tissue is first internalized by DCs, which then migrate to secondary lymphoid organs, where the virus is transferred to CD4+ T lymphocytes (CD4TL). Translocation of internalized virus appears to occur via a cell-to-cell junction (the so-called virological synapse) created by simple physical contact between DC and CD4TL , leading to virion production in both cell types. Transfer of HIV-1 from DCs to CD4TL occurs in two distinct phases , , . During the initial phase, virus located within endosomal compartments of DCs is transported to the intercellular junction and then internalized by CD4TL. A later second phase is dependent on productive infection of DCs and storage of viral progeny. We have recently demonstrated that the C-type lectin receptor known as dendritic cell immunoreceptor or DCIR  allows HIV-1 to attach to DCs and enhances HIV-1 infection in both phases , unlike DC-SIGN (dendritic cell-specific intercellular adhesion molecule-3-grabbing non integrin), which is only involved in the early phase , . Among the various HIV-1 cell surface receptors expressed in DCs, only DCIR has been shown to play a key role in viral dissemination, initiation of infection  and antiviral immunity . Furthermore, it is very likely that interaction between DCIR and HIV-1 is a major factor in HIV-1 pathogenesis since DCIR expression in CD4TL is induced by HIV-1 or by apoptosis as we have previously shown . CD4TL apoptosis is an indicator of HIV-1 pathogenesis in both the early and later phases of AIDS. In view of DCIR expression on DCs and its role in HIV-1 transmission in vitro, this receptor holds promise as a target for preventing HIV-1 infection and possibly decreasing HIV-1 transmission during the chronic phase of the disease, in which CD4TL apoptosis increases.
DCIR is expressed primarily in cells of the myeloid lineage (i.e. neutrophils, DCs, monocytes and macrophages) as well as in B cells . In addition, interaction between DCIR and HIV-1 is likely of significance in HIV-1 pathogenesis since we have observed DCIR expression in HIV-loaded CD4TL both in vitro and from HIV-1-infected patients , as well as in apoptotic CD4TL. However, the physiological functions of DCIR are not fully understood. DCIR has been associated with some auto-immune diseases . DCIR was detected at the surface of plasmacytoid DCs  and may regulate DC expansion . In myeloid or plasmacytoid DCs, internalization of DCIR inhibits the response of TLR8 or TLR9 , , two Toll-like receptors known to play an important role in innate immunity against viruses.
DCIR is the product of the human gene CLEC-4A, which encodes a protein 237 amino acid residues in length and is unique among the lectin receptors due to the presence of several unique structural motifs. It contains an intracellular signalling consensus sequence known as immunoreceptor tyrosine-based inhibition motif or ITIM , a neck domain important for HIV-1 binding that includes a carbohydrate recognition domain (CRD) extracellular portion , and an EPS motif (Glu-Pro-Ser), that is, a specific galactose recognition domain . We have determined that the ITIM motif is required for DCIR-mediated enhancement of HIV-1 infection . Furthermore, we have shown, using antibodies directed against the EPS motif or CRD domain, or by deleting the neck domain, that these extracellular portions are both involved in the binding of HIV-1 and its subsequent transfer to CD4TL .
Given this potentiation of HIV infection through interaction with DCIR, our objective was to develop a molecule to inhibit HIV binding to DCIR. Considering that the virus-encoded viral envelope glycoprotein gp120 is one of the most heavily glycosylated proteins known in nature (reviewed by Vigerust and Shepherd ) and that DC-SIGN-dependent HIV-1 capture requires interaction between gp120 and the CRD domain of DC-SIGN , , it might be that a similar interaction allows DCIR to act as an attachment factor for HIV-1. The EPS motif of DCIR is known to bind specifically to galactosyl residues of glycoproteins . Since galactosyl residues are present on the surface of HIV-1, we designed and synthesized chemical inhibitors targeting the EPS and/or CRD domains of DCIR.
Virtual screening has recently helped to discover ligands and inhibitors based on crystallographic  and homology models of target proteins , . Studies have shown that virtual docking to homology models frequently yields enrichment of known ligands as good as that obtained by docking to a crystal structure of the actual target protein , , . This structure-based approach to inhibitor design has been used to identify several inhibitors of 17β-hydroxysteroid dehydrogenases , ,  and RNA-dependent RNA polymerase . Methodical analysis of the structure of DCIR is required to design potent and specific inhibitors of its interaction with HIV-1, via the CRD and/or EPS motifs, thereby generating potential new drugs. Since no complete or partial tertiary structure has been published for DCIR, we built a homology model using the structure of the CRD of CLEC4M ( = L-SIGN), which also interacts with gp120, as a template.
Based on this model, several inhibitors were selected using virtual screening and tested using various methods. This study shows that specific chemical inhibitors directed against the EPS motif or CRD domain of DCIR prevent the attachment of HIV-1 to DCs and to apoptotic or infected CD4TL, without any side effect on CD4TL proliferation. Our DCIR homology model, in addition to providing detailed structural information, will help in the development of new lead compounds using virtual screening combined with in vivo testing.
Materials and Methods
IL-4 was purchased from R&D systems (Minneapolis, MN) and granulocyte-macrophage colony-stimulating factor (GM-CSF) was purchased from Genscript (Piscataway, NJ). Cells were grown routinely in RPMI 1640 medium supplemented with 10% fetal bovine serum (FBS), penicillin G (100 U/ml), streptomycin (100 µg/ml), L-glutamine (2 mM) – all purchased from Wisent BioProducts (St-Bruno, QC, Canada) and with primocin (Amaxa Biosystems, Gaithersburg, MD, USA). The culture medium for HEK293T cells was made of DMEM (Invitrogen, Burlington, ON, Canada) supplemented with 10% FBS, penicillin G (100 U/ml), streptomycin (100 µg/ml), and L-glutamine (2 mM).
Molecular Modeling of DCIR
We modeled human DCIR structure using the SWISS MODEL homology modeling program via their website interface , , run in automatic mode after submitting the DCIR sequence (UniProtKB/Swiss-Prot accession number: Q9UMR7). The resulting model was examined using the PDB viewer program .
Docking Site Selection and Pre-docking Preparation
The 3D model of DCIR served as a receptor for the docking studies. Hydrophobic pockets on the DCIR extracellular domain structure (residues 103–233) were evaluated with the Site Finder application under the MOE program (Chemical Computing Group, Montreal, QC, Canada) and ranked according to their hydrophobic contacts and locations. The protein model was inspected visually for accuracy of the χ2 dihedral angles of Asn and His residues and the χ3 angle of Gln, and was rotated 180° as needed to maximize hydrogen bonding. The proper histidinyl tautomer was selected manually to maximize hydrogen bonding. Finally, all aspartyl, glutamyl, arginyl and lysyl residues were treated usually as charged species.
Ligand docking on the DCIR was carried out using Genetic Optimization Ligand Docking (GOLD) version 3.3 . Ligand and side-chain flexibility was allowed during docking. The ChemScore scoring function as implemented in the GOLD program was used to estimate the change in free energy that occurs upon ligand binding to a protein: ChemScore = ΔGbinding+Pclash +cinternal Pinternal+(ccovalent Pcovalent +Pconstraint), with ΔGbinding = ΔGo+ΔGhbond Shbond+ΔGmetal Smetal+ΔGlipo Slipo+ΔGrot Hrot, where Pclash, Pinternal, Pcovalent and Pconstraint are penalty factors included to prevent poor geometries in docking due respectively to atom positions, internal torsion constraint, valence-angle bending and other constraints (cinternal and ccovalent being scale factors for the respective penalty terms). Shbond, Smetal, and Slipo respectively are the free energy scores accounting for the contributions of hydrogen bonding, acceptor-metal and lipophilic interactions to ligand-protein interaction, whereas Hrot is a score representing the loss of conformational entropy of the ligand upon binding to the protein. ΔGhbond, ΔGmetal, ΔGlipo, and ΔGrot are regression coefficients derived from multiple linear regression analysis on a training set of 82 protein–ligand complexes from the PDB .
The free public database ZINC 8 compiles over two million compounds . A subset of 128,000 compounds with drug-like properties and satisfying the Lipinski Rule of Five  were selected for further analysis. The database was used for virtual screening for the selected docking sites of DCIR and compounds were ranked according to their ChemScore  and hydrogen bonding potential.
The seven top-scoring compounds identified by virtual screening as potential inhibitors of HIV-1 attachment to DCIR were purchased from Sigma-Aldrich (Oakville, ON, Canada) or ChemBridge (San Diego, CA) for in vitro screening using our DCIR-expressing cell model. A stock solution of each compound in 10 mM in DMSO was prepared, and inhibitor concentrations up to 10 µM were tested. This concentration was judged reasonable, given our goal of developing a lead compound with therapeutic potential, from which molecules efficacious at even lower concentrations presumably could be derived. The results presented in this manuscript were obtained using inhibitor at 10 µM and a final DMSO concentration of 0.1%.
Cells and Viral Stocks
Human embryonic kidney (HEK) 293T cells were cultured in DMEM supplemented with 10% FBS. The Raji-CD4 cell line is a B cell line carrying the Epstein-Barr virus and rendered susceptible to HIV-1 infection by stable transfection with cDNA encoding human CD4 . Raji-CD4 cells stably expressing DCIR (Raji-CD4-DCIR) were obtained following retroviral transduction as described previously . In some experiments, we also used Raji-DC-SIGN, that is, Raji cells stably transfected with a plasmid encoding DC-SIGN . Primary human DCs were generated from purified human monocytes (i.e. CD14+ cells). Peripheral blood was obtained from healthy donors. CD14+ cells and CD4+ T cells (CD4TL) were then isolated from fresh PBMCs using a monocyte-positive selection or negative selection kit according to the manufacturer’s instructions (MACS CD14 microbeads, STEMCELL Technologies, Vancouver, BC, Canada) as described previously , , . Cells were solicited from anonymous, healthy volunteer donors who had signed an informed consent approved by the CHUL research ethics review board. NL4-3 (X4) and NL4-3/Balenv (R5) were produced upon transient transfection of HEK293T cells as described previously , , .
Virus Binding/Entry and Infection Assays on Raji-CD4-DCIR Cells
Where indicated, 1×106 parental Raji-CD4 cells (DCIR-negative), Raji-CD4-DCIR or Raji-DC-SIGN transfectants were pre-treated with the indicated amount of a chemical inhibitor for 10 min. Cells were then pulsed with NL4-3 as described previously .
HIV-1 Binding and Virus Infection Assays on iMDDCs
For assessing binding/entry, iMDDCs (3×105 cells in a final volume of 300 µl) were pre-treated with 10 µM of different chemical inhibitors for 10 min and exposed to NL4-3/Balenv (30 ng of p24) for 60 min at 37°C. After three washes with PBS, cells were re-suspended in PBS containing 1% BSA. The HIV capsid particle p24 content was determined by ELISA, while susceptibility of iMDDCs to HIV-1 infection was assessed by initially exposing 3×105 cells to NL4-3/Balenv (30 ng) at 37°C for 2 h. After washes, cells were maintained in complete RPMI 1640 supplemented with GM-CSF and IL-4 in 96-well plates, in a final volume of 200 µl. Every three days over a nine-day period, half of the conditioned medium was collected and kept at −20°C until assayed. Virus production was estimated as above by measuring p24 levels by ELISA.
HIV-1 Binding/Entry, Infection and Transfer Experiments with CD4TL
Apoptosis was induced in PHA-L/IL2-activated CD4TL treated with 30 µM H2O2 for 16 h before performing the following experimental procedures. To assay binding/entry, cells (1×106) were incubated for 60 min at 37°C with NL4-3 (100 ng of p24). After three thorough washes with PBS to remove un-adsorbed virus, HIV-1 binding was quantified by estimating p24 content. For the transfer studies (or trans infection), H2O2-treated CD4TL (1×106) were incubated with NL4-3 (100 ng of p24) for 2 h and after washes, autologous PHAL/IL-2-activated CD4TL (1×106) were added (ratio 1:1) in complete RPMI 1640 medium supplemented with rhIL-2 (30 U/ml). Every other day, half of the conditioned medium was collected and kept at −20°C and the culture replenished with fresh medium. For all studies, virus production was estimated after 3 days of co-culture by measuring the p24 levels in cell-free culture supernatants.
Statistical analyses were carried out according to the methods outlined by Zar  and Sokal and Rohlf  using the GraphPad Prism software. Means were compared using two-tailed Student’s t-tests, or a single-factor ANOVA followed by Dunnett’s multiple comparisons when more than two means were considered. Each graph included at least three experiments performed in triplicate. The data are presented with SEM in order to hi-light differences from the mean. SEM also takes sample size into account. P values <0.05 were deemed statistically significant. Asterisks denote statistically significant differences (*P<0.05, **P<0.01, ***P<0.001).
Molecular Modeling of DCIR
To identify inhibitors that could prevent HIV-1 attachment to the extracellular domain of DCIR, we used a virtual template or homology model, based on lectin structure. CLEC4M (DOI:10.2210/pdb1sl6/pdb), a gp120-binding lectin also known as CD299 or L-SIGN, has a crystal structure corresponding to a fragment of DC-SIGNR (a homolog of DC-SIGN expressed in epithelial cells) in a complex with CD15 (3-fucosyl-N-acetyl-lactosamine) and thus appeared best suited for this purpose . A model of the carbohydrate-binding domain defined by residues 166 to 233 of DCIR was built from CLEC4M and refined using the SWISS MODEL website interface. About 33% of the amino acid residues of this model correspond to the DCIR sequence, as shown in Figure 1A. The proposed tridimensional model has four beta sheets and two alpha helices, as illustrated in Figure 1B.
A) Partial sequence alignment between CLEC4M (GenBank™ #AAI10615) and DCIR (GenBank™ # NP_057268) indicating completely conserved regions and residues. B) Three-dimensional model showing positions of the selected docking sites on the dendritic cell immunoreceptor (DCIR) model (103-233) for virtual screening runs according to the examples. Residues forming site A are represented by the blue portions while orange indicates those forming site B.
Virtual Screening and Molecule Selection
Docking sites for inhibitors of HIV-1 binding were selected from a number of potential sites identified by the Site Finder utility of the Molecular Application Environment (MOE) program (cf. “Materials and Methods”). The primary targeted sites are two hydrophobic pockets. Site A (associated with the CRD domain) is located near the surface and is delimited by DCIR residues Phe113, Asn116, Tyr118, Val143, Ile144, Trp178 and Glu231, while site B (associated with the EPS motif), nearly on the opposite side of the structure, is delimited by residues 194-198 plus His175, Trp176 and Glu201 (Figure 1B). Virtual screening of inhibitory compounds was performed for site A within a sphere delimited by a 10-Å radius around the OE1 atom of residue Glu231 and for site B within a sphere delimited by a 10-Å radius around the NE1 atom of Trp176. The top 100 compounds as ranked by the ChemScore function in the GOLD docking program were selected for visual inspection of their docking orientations. The four compounds selected for site A and the three for site B are represented in Figure 2A. All chemical products identified were readily available commercially for in vitro tests. Using specific antibodies, we had previously surmised the importance of CRD and EPS in the process of HIV-1 attachment .
A) Chemical structure of potential inhibitors of HIV-1 attachment to DCIR, selected by virtual screening, Compounds selected from CRD site are depicted as A1 to A4. Those selected from EPS site are named as B1 to B3 Virtual interacting compounds with both site of DCIR modeling have anti-HIV activity. B) Inhibitors decrease HIV-1 attachment to DCIR: Raji-CD4-DCIR cells were treated with one of four site-A inhibitors or one of three site-B inhibitors (inhibitor concentration = 10 µM) or with solvent (10 mM DMSO) only for 10 min at 37°C. Cells were thereafter exposed to NL4-3 virus for 60 min. After three washes with PBS to remove un-adsorbed virus, the abundance of cell-associated virions was quantified by measuring p24 content. Data correspond to mean ± SEM of three independent experiments performed with triplicate samples. Asterisks (*) denote statistically significant values (*, P<0.05, ** P<0.01, *** P<0.001).
CRD and EPS Inhibitors Decrease HIV-1 Attachment
For rapid estimation of the capacity of inhibitors targeting these structures to alter the initial steps in HIV-1 biology, Raji-CD4 cells stably transfected with DCIR (Raji-CD4-DCIR) were used as described previously . Figure 2B shows a statistically significant decrease in HIV-1 attachment to cells pre-treated with inhibitors A1, A4 and B1 and B2. In contrast, inhibitors A2, A3 and B3 are the least efficient blockers of HIV-1 attachment as indicated in panel A. These latter three were therefore excluded from further study in order to focus our attention on four molecules A1, A4, B1 and B2 for complete validation in more physiological model of primary cells.
Determination of Specificity and Toxicity of Inhibitors
DC-SIGN is also known to play an active role in HIV-1 binding and transfer by DCs . To assess the specificity of these inhibitors and whether they interacted with other C type lectins, their effects on HIV-1 binding to Raji-DC-SIGN cell lines were tested. Figure 3 shows that these inhibitors do not affect HIV-1 binding to DC-SIGN. These data are consistent with the selected inhibitors being specific for DCIR and inactive with DC-SIGN, despite the fact that both lectins are C-type and closely related.
Raji-DC-SIGN cells were treated for 10 min at 37°C with inhibitors 1 and 4 directed against site A and 1 and 2 directed against site B, or with DMSO. Afterwards, cells were pulsed with NL4-3 for 60 min, rinsed thrice with PBS to remove un-adsorbed virus, and cell-associated viruses were quantified by measuring p24 content. Data shown correspond to the means ± SEM of 3 independent experiments performed in triplicate.
It was also crucial to determine the impact of these inhibitors on cellular viability. Peripheral blood mononuclear cells (PBMCs) were pre-incubated with the inhibitors before measuring mitogenic stimulation and cellular proliferation using the MTT method. Figure 4 shows clearly that the inhibitors did not affect cell proliferation and that the observed, for all cell lines or primary cells used in this study, decrease in HIV-1 binding induced by these compounds resulted from disrupted interaction with DCIR and was not a mere consequence of reduced viability (Data not shown). Dose response was also performed and toxicity was observed for concentration over 50 µM for all four inhibitors (data not shown). Potential side effects of these inhibitors on cells expressing a large amount of DCIR was tested, and the results show that neutrophil functional response such as de-granulation was not affected by these inhibitors (data not shown). This observation strengthens the conclusion that these inhibitors seem specific and not toxic. Finally, the impact of the inhibitors on the expression HIV-1 receptor CD4 or co-receptors CCR-5 and CXCR4 on DCs was assessed by cytofluorometry and their expression was not affected by inhibitors pre-treatment (Data not shown).
PBMC (2×105 cells/200 µl) were pre-incubated with DCIR inhibitors (10 µM) (or vehicle), or with a toxic molecule as a positive control at 100 uM (Ctrl) before mitogenic stimulation with PHA-L/IL-2 (1 µg/ml and 30 U/ml). Cell proliferation was stopped at day 3 by adding MTT reagent and SDS as described in “Materials and Methods”. A570 was then determined. Data shown correspond to the means ± SEM of 3 independent experiments performed in triplicate. Asterisks denote statistically significant values (**, P<0.01).
DCIR-targeting Inhibitors Block HIV-1 attachment and Infection in Raji-CD4-DCIR Cell Lines, Dendritic Cells and Apoptotic CD4TL
Since attachment to DCIR correlates with an increase in the infectivity of HIV-1, the impact of pre-treatment with the selected inhibitors on viral replication in Raji-CD4-DCIR cells was evaluated. Figure 5 shows that all four inhibitors decreased HIV-1 production in DCIR-expressing cells. None of the inhibitors had any effect on the replication of HIV-1 in Raji-CD4 cells, highlighting the specificity and the potency of the DCIR inhibitor. These data show that reduced HIV-1 attachment decreased viral infectivity measured after three days, following pre-incubation with the drug candidates. It should be noted that no significant inhibition was observed six or nine days post infection because the inhibitors were only added in a pre-treatment.
Raji-CD4 and Raji-CD4-DCIR were treated with the inhibitors selected in figure 2, or DMSO. Cells were then exposed to NL4-3 for 2 h, rinsed and maintained in culture for 3d. Cell-free culture supernatants were collected and assayed for p24 content. Data shown correspond to the means ± SEM from 3 independent experiments performed with triplicate samples. Asterisks denote statistically significant values (*, P<0.05, ** P<0.01, *** P<0.001).
After determining that the DCIR inhibitors blocked the interaction of HIV-1 with DCIR in cell lines expressing DCIR, we validated the activity of the selected inhibitors under more physiological conditions. The effects of the DCIR inhibitors on the attachment of HIV-1 and on cis-infection were tested using DCs. Figure 6A shows that HIV-1 binding to DCs pre-incubated with the four inhibitors was decreased significantly and that all four inhibitors also blocked productive infection at days 3 (figure 6B). As observed for Raji-CD4-DCIR (figure 5B), a new virions production at day 6 and 9 was not affected by pre-treatment with inhibitors.
A) IM-MDDCs were treated with four chemical inhibitors or DMSO for 10 min at 37°C. Next, cells were pulsed with NL4-3balenv for 60 min at 37°C and rinsed thoroughly before measuring p24 content. B) In some experiments, similarly treated IM-MDDCs were pulsed with NL4-3balenv for 2 h at 37°C, rinsed thoroughly, and maintained in complete culture medium supplemented with GM-CSF and IL-4 for up to 9 days with medium replenishment every 3 days. Cell-free culture supernatants were quantified by measuring p24 content. Data shown correspond to the means ± SEM of 3 independent experiments performed in triplicate. Asterisks denote statistically significant values (*, P<0.05; **, P<0.01; ***, P<0.001).
Pre-treatment of CD4TL with hydrogen peroxide (H2O2) mimics the apoptosis, a hallmark of evolution of AIDs. Expression of DCIR is also associated with this state and promote trans infection as we have shown previously . We sought to confirm the role of DCIR in HIV-1 attachment (Figure 7A) and transmission (Figure 7B) via CD4TL by treating the cells with H2O2 before pre-incubation with the selected DCIR inhibitors (HIV-1 trans infection of PHA-L/IL2-activated CD4TL via apoptotic CD4TL). Figure 7A shows that A-1 decreased HIV-1 attachment to H2O2 treated cells by about 50%, while B-1 did so by about 35%. The inhibitors also lowered the propagation of HIV-1 by H2O2-treated CD4TL to PHAL/IL-2 activated CD4TL by 60–80% (Figure 7B). CD4TL proliferation is known to be important for HIV-1 replication and we have observed that the inhibitors did not affect cell proliferation (Figure 4). The levels of inhibition obtained with the compounds described in this study are comparable to those observed in our previous studies using antibody, siRNA, or intracellular inhibitors , . DCIR is not the only surface molecule involved in HIV-1 attachment to and infection of DCs. We therefore do not expect to observe complete inhibition of DC infection.
Target CD4+ T cells (1×106) were treated for 16 h with H2O2 (30 µM) to induce apoptosis and the surface expression of DCIR. Cells (± H2O2 treatment) were incubated for 10 min with a site A inhibitor (1 and 4) or a site B inhibitor (1 and 2) or with 10 mM DMSO. A) Cells were next exposed to NL4-3 for 1 h at 37°C, washed thoroughly to remove un-adsorbed virions before assessing p24 content. B) Cells were first incubated with NL4-3 for 2 h at 37°C, washed thoroughly to remove un-adsorbed virions and cultured with autologous PHA-L/IL-2-activated CD4TL in complete RPMI-1640 supplemented with rhIL-2. Cell-free supernatants were collected on day 3 and assayed for p24 content. Data correspond to mean ± SEM of 4 independent experiments performed in triplicate for panel A and mean ± SEM of 4 independent experiments for panel B. Asterisks denote statistically significant values (*, P<0.05; **, P<0.01).
3D Structure of DCIR and ADMET Potential for these Inhibitors
Figure 8 shows the probable orientation of compounds docking on the surface of the model of the DCIR molecule. Compound A1 and A4 dock in a pocket formed by Asn116, His140, Val143, Trp178, Asp180, Glu231 and Met233, while B1 and B2 dock in a pocket lined by residues His175, Trp176 Trp191, Arg194, Glu195, Pro196, Ser197, Tyr184 and Gln185. We have modelled the absorption, distribution, metabolism, elimination and toxicity (ADMET) properties of our four best compounds using ADMET predictor , , . As illustrated in Figure 9, the toxicity and ADMET scores summarize the risks of low absorption from an oral dose, mutagenic activity, overall toxicity and metabolic liability. Low scores indicate low predicted toxicity or ADMET liability. Compared with the various classes of currently prescribed HIV-1 drugs, our compounds have lower scores in both risk assessments and are even better than most drugs in terms of ADMET properties. All these results are encouraging and justify future in vivo assay.
Panel A: Compound A1 (1,5-diphenyl-2,4-pentadien-1-one) in site A. Panel B: Compound A4:3,6-di(2 pyridyl) pyridazine in site A. Panel C: Compound B1 (1-benzofuran-2-yl-phenylmethanone in site B. Panel D: Compound B2 (1-methyl-4-[(4-methylphenyl)-NNO-azoxy]benzene)in site B.
Modelled ADMET (Absorption, Distribution, Metabolism, Elimination and Toxicity) properties of our first four lead compounds using ADMET predictor. These results shown that toxicity of our molecules is minimal compare to protease inhibitor or Maraviroc, both molecules currently used in clinic.
Despite great strides in our understanding of HIV-1 pathogenesis and immune protection, the pandemic keeps expanding while no effective cure appears likely to become available in the near future. Moreover, the anti-HIV-1 drugs developed so far promote the selection of resistant strains of the virus. The introduction of antiretroviral therapy in the mid 1990s had a strong impact on the course of HIV-1 infection throughout the world. Currently available treatments target different steps of the viral propagation cycle, such as entry into the host cell, reverse transcription, integration and protein maturation. These have led to significant reductions in HIV-related mortality . Although combinations of antiretroviral drugs, such as HAART therapy, first met with resounding success, their limitations soon became obvious. Patient morbidity is enhanced and drug-resistant viruses have emerged, while no current antiretroviral therapy actually eradicates the virus from the body , .
Based on the major role played by DCIR in HIV-1 infection, we provide novel strategies to block HIV-1 transmission by DCs as well as by apoptotic or HIV-1-infected CD4TL. In this study, a detailed three-dimensional structure of DCIR has been proposed and four inhibitors directed against the CRD domain and EPS motif of DCIR blocking HIV-1 replication and propagation have been identified. These results are clinically relevant, since blocking HIV-1 attachment to DCIR may represent a novel strategy against HIV-1 pathogenesis. Indeed, preventing the virus from binding to DCIR could lead to a significant decrease of transmission during primary infection, a period during which the virus is disseminated by mucosal DCs expressing DCIR and ultimately transferred to CD4TL. In addition, DCIR inhibitors can reduce the production of HIV-1 by the CD4TL, therefore being useful in prophylaxis/primo infection and therapeutic stages of HIV-1 infection.
The discovery of new therapeutic targets and the development of new approaches to treatment are necessary in order to pursue the fight against HIV-1 , . New classes of inhibitors targeting cellular partners of HIV virions are being developed ,  including integrase inhibitor, antagonists of co-receptors CCR5 and CXCR4 (one is already commercially available), maturation process inhibitors, CDK inhibitors, anti-CD4 antibodies, and new attachment factor inhibitors such as anti-DC-SIGN antagonists , .
Molecules targeting DC-SIGN interfere with HIV-1 binding through interaction with viral gp120 , . This mannose-binding lectin is expressed on cells in mucosal tissue and can thus facilitate HIV-1 transmission. Inhibitors of gp120/DC-SIGN interaction should therefore be useful primarily for preventing HIV-1 infection , since DC-SIGN is known to be involved only in trans-infection of DCs , . The success of pre-exposure prophylaxis or PREP  validates the importance of acting early, as argued by Haase . In spite of the intense competition for the HIV-1 drug market (Kalorama, 2008, HIV/AIDS markets), the discovery of new targets and new molecules that do not select resistant forms of the virus and block X4 or R5 tropic virions continues to lag , . Molecules targeting DCIR can be used to block the initial steps of infection and are effective against X4 or R5 as well. In addition, specific expression on infected CD4TL or apoptotic CD4TL makes DCIR an interesting potential target for treatment of infection.
In vitro tests of molecules targeting DCIR showed that four of five candidates selected by ChemScore ranking were active inhibitors of HIV-1 binding, indicating that our DCIR docking platform setting has interesting potential for improving the selection of inhibitors specific for the DCIR-HIV-1 interaction. Our virtual model and screening process closely matched the actual DCIR structure. We initially screened all inhibitors for their inhibitory activity against HIV-1 binding prior to performing in vitro experiments with Raji-CD4 transfected with either DCIR or vector only. Among the A series compounds (i.e. directed against the CRD domain), compounds A2 and A3 were only weakly inhibitory to HIV-1 binding, as was B3 (directed against the EPS motif), while A1, A4 and B1 and B2 were relatively strong inhibitors. Interestingly, the two active inhibitors differ in structure, are directed against different motifs and hence have specific sites of action, based on modeling. In addition, these inhibitors had no impact on expression of the HIV-1 co-receptors CXCR4 and CCR5 (data not shown). In vitro experiments with Raji-DC-SIGN, to evaluate the specificity of these inhibitors, confirmed that they do not block HIV-1 attachment to DC-SIGN. This latter C-type lectin is known to bind several types of viruses. Based on these results, we suggest that the inhibitors, thus selected, are very likely specific for the attachment of HIV-1 to DCIR. In addition, these selected compounds shows a predicted toxicity as measured by ADMET, better than the current prescribed drugs. These are confirmed at the cellular level by our toxicity test.
A physiologically relevant analysis of the activity of the inhibitors was carried-out using two major cell types involved in HIV-1 pathogenesis, DCs and CD4TL. The inhibitors displayed specificity for inhibiting HIV-1 attachment and subsequent infection in immature monocyte-derived dendritic cells (iMDDCs). We previously showed that some CD4TLs express DCIR in HIV-1 patients . DCIR expression increases during the infectious process and promotes trans-infection and transmission of HIV-1 to bystander cells. DCIR appears specifically linked to the infectious process and to cell apoptosis. This is important, since previous studies suggest a direct correlation between the degree of apoptosis among circulating CD4TLs and pathogenesis , .
The results of the present study demonstrate that the selected DCIR-targeting inhibitors are effective in this model resembling the chronic phase of HIV-1 infection. Based on our preliminary observations, we can predict that inhibitors designed to bind specifically to the CRD domain and EPS motif of DCIR can decrease HIV-1 attachment to DCs in primary infection and result in reduced DC infection.
In developing novel therapeutic drugs against HIV-1 infection, one must consider the mechanism of viral replication not only inside CD4TLs, but also inside DCs. We agree with Haase (3) and other that it is crucial to find appropriate ways and means to alleviate viral load and allow the proper mounting of specific immune responses, both in the crucial early phases to avoid irreversible damage to the immune system and during the chronic phase to allow the immune system to mount effective defences. Future design of new drugs against HIV-1 infection should focus on preventing irreversible impairment of the immune system. Indeed, currently used anti-HIV-1 drugs block only the late stages of the viral life cycle and provide no protection against the earlier damage and resulting immunodeficiency that it causes. By targeting the C-type DCIR lectin found in DCs as well as in HIV-1-infected CD4LTs, the approach described in this report provides a potential avenue for effective interference with the initial propagation of HIV-1 at an early stage of the viral cycle and limit proliferation of the virus in the later stages. Extensive in vivo validation nevertheless remains to be performed in order to validate the targeting of DCIR as a therapeutic approach, as well as the safety of the drugs used for this purpose.
The authors thank Drs. Lahlou Hadji, Richard Poulin and Stephen Davids for their assistance in editing this manuscript and for constructive comments. We are grateful to Odette Simard for access to the blood facility at the CHUQ-CHUL.
Conceived and designed the experiments: CG AZ AAL MJT SXL. Performed the experiments: AAL AZ GA KPS CG. Analyzed the data: AAL AZ GA SXL KPS MJT CG. Contributed reagents/materials/analysis tools: MJT CG SXL. Wrote the paper: CG AZ AAL MJT SXL.
- 1. Deeks SG, Phillips AN (2009) HIV infection, antiretroviral treatment, ageing, and non-AIDS related morbidity. BMJ 338: a3172. doi: 10.1136/bmj.a3172
- 2. Evans DT, Bricker JE, Sanford HB, Lang S, Carville A, et al. (2005) Immunization of macaques with single-cycle simian immunodeficiency virus (SIV) stimulates diverse virus-specific immune responses and reduces viral loads after challenge with SIVmac239. J Virol 79: 7707–7720. doi: 10.1128/jvi.79.12.7707-7720.2005
- 3. Haase AT (2010) Targeting early infection to prevent HIV-1 mucosal transmission. Nature 464: 217–223. doi: 10.1038/nature08757
- 4. Blanchet F, Moris A, Mitchell JP, Piguet V (2011) A look at HIV journey: from dendritic cells to infection spread in CD4+ T cells. Curr Opin HIV AIDS 6: 391–397. doi: 10.1097/coh.0b013e328349b0a0
- 5. Blanchet FP, Moris A, Nikolic DS, Lehmann M, Cardinaud S, et al. (2010) Human immunodeficiency virus-1 inhibition of immunoamphisomes in dendritic cells impairs early innate and adaptive immune responses. Immunity 32: 654–669. doi: 10.1016/j.immuni.2010.04.011
- 6. Haase AT (2005) Perils at mucosal front lines for HIV and SIV and their hosts. Nat Rev Immunol 5: 783–792. doi: 10.1038/nri1706
- 7. Haase AT (2011) Early events in sexual transmission of HIV and SIV and opportunities for interventions. Annu Rev Med 62: 127–139. doi: 10.1146/annurev-med-080709-124959
- 8. Cameron PU, Forsum U, Teppler H, Granelli-Piperno A, Steinman RM (1992) During HIV-1 infection most blood dendritic cells are not productively infected and can induce allogeneic CD4+ T cells clonal expansion. Clin Exp Immunol 88: 226–236. doi: 10.1111/j.1365-2249.1992.tb03066.x
- 9. Tsunetsugu-Yokota Y, Yasuda S, Sugimoto A, Yagi T, Azuma M, et al. (1997) Efficient virus transmission from dendritic cells to CD4+ T cells in response to antigen depends on close contact through adhesion molecules. Virology 239: 259–268. doi: 10.1006/viro.1997.8895
- 10. Granelli-Piperno A, Delgado E, Finkel V, Paxton W, Steinman RM (1998) Immature dendritic cells selectively replicate macrophagetropic (M-tropic) human immunodeficiency virus type 1, while mature cells efficiently transmit both M- and T-tropic virus to T cells. J Virol 72: 2733–2737.
- 11. Manel N, Hogstad B, Wang Y, Levy DE, Unutmaz D, et al. (2010) A cryptic sensor for HIV-1 activates antiviral innate immunity in dendritic cells. Nature 467: 214–217. doi: 10.1038/nature09337
- 12. McDonald D, Wu L, Bohks SM, KewalRamani VN, Unutmaz D, et al. (2003) Recruitment of HIV and its receptors to dendritic cell-T cell junctions. Science 300: 1295–1297. doi: 10.1126/science.1084238
- 13. Turville SG, Santos JJ, Frank I, Cameron PU, Wilkinson J, et al. (2004) Immunodeficiency virus uptake, turnover, and 2-phase transfer in human dendritic cells. Blood 103: 2170–2179. doi: 10.1182/blood-2003-09-3129
- 14. Gilbert C, Cantin R, Barat C, Tremblay MJ (2007) Human Immunodeficiency Virus Type 1 Replication in Dendritic Cell-T-Cell Cocultures Is Increased upon Incorporation of Host LFA-1 due to Higher Levels of Virus Production in Immature Dendritic Cells. J Virol 81: 7672–7682. doi: 10.1128/jvi.02810-06
- 15. Gilbert C, Barat C, Cantin R, Tremblay MJ (2007) Involvement of Src and Syk Tyrosine Kinases in HIV-1 Transfer from Dendritic Cells to CD4+ T Lymphocytes. J Immunol 178: 2862–2871. doi: 10.4049/jimmunol.178.5.2862
- 16. Bates EE, Fournier N, Garcia E, Valladeau J, Durand I, et al. (1999) APCs express DCIR, a novel C-type lectin surface receptor containing an immunoreceptor tyrosine-based inhibitory motif. J Immunol 163: 1973–1983.
- 17. Lambert AA, Gilbert C, Richard M, Beaulieu AD, Tremblay MJ (2008) The C-type lectin surface receptor DCIR acts as a new attachment factor for HIV-1 in dendritic cells and contributes to trans- and cis-infection pathways. Blood 112: 1299–1307. doi: 10.1182/blood-2008-01-136473
- 18. Geijtenbeek TB, Kwon DS, Torensma R, van Vliet SJ, van Duijnhoven GC, et al. (2000) DC-SIGN, a dendritic cell-specific HIV-1-binding protein that enhances trans-infection of T cells. Cell 100: 587–597. doi: 10.1016/s0092-8674(00)80694-7
- 19. Boggiano C, Manel N, Littman DR (2007) Dendritic cell-mediated trans-enhancement of human immunodeficiency virus type 1 infectivity is independent of DC-SIGN. J Virol 81: 2519–2523. doi: 10.1128/jvi.01661-06
- 20. Klechevsky E, Flamar AL, Cao Y, Blanck JP, Liu M, et al. (2010) Cross-priming CD8+ T cells by targeting antigens to human dendritic cells through DCIR. Blood 116: 1685–1697. doi: 10.1182/blood-2010-01-264960
- 21. Lambert AA, Imbeault M, Gilbert C, Tremblay MJ (2010) HIV-1 induces DCIR expression in CD4+ T cells. PLoS Pathog 6: e1001188. doi: 10.1371/journal.ppat.1001188
- 22. Fujikado N, Saijo S, Yonezawa T, Shimamori K, Ishii A, et al. (2008) Dcir deficiency causes development of autoimmune diseases in mice due to excess expansion of dendritic cells. Nat Med 14: 176–180. doi: 10.1038/nm1697
- 23. Meyer-Wentrup F, Benitez-Ribas D, Tacken PJ, Punt CJ, Figdor CG, et al. (2008) Targeting DCIR on human plasmacytoid dendritic cells results in antigen presentation and inhibits IFN-alpha production. Blood 111: 4245–4253. doi: 10.1182/blood-2007-03-081398
- 24. Meyer-Wentrup F, Cambi A, Joosten B, Looman MW, de Vries IJ, et al. (2009) DCIR is endocytosed into human dendritic cells and inhibits TLR8-mediated cytokine production. J Leukoc Biol 85: 518–525. doi: 10.1189/jlb.0608352
- 25. Richard M, Thibault N, Veilleux P, Breton R, Beaulieu AD (2003) The ITIM-bearing CLECSF6 (DCIR) is down-modulated in neutrophils by neutrophil activating agents. Biochem Biophys Res Commun 310: 767–773. doi: 10.1016/j.bbrc.2003.09.077
- 26. Kanazawa N, Tashiro K, Miyachi Y (2004) Signaling and immune regulatory role of the dendritic cell immunoreceptor (DCIR) family lectins: DCIR, DCAR, dectin-2 and BDCA-2. Immunobiology 209: 179–190. doi: 10.1016/j.imbio.2004.03.004
- 27. Lambert AA, Barabe F, Gilbert C, Tremblay MJ (2011) DCIR-mediated enhancement of HIV-1 infection requires the ITIM-associated signal transduction pathway. Blood.
- 28. Vigerust DJ, Shepherd VL (2007) Virus glycosylation: role in virulence and immune interactions. Trends Microbiol 15: 211–218. doi: 10.1016/j.tim.2007.03.003
- 29. Lin G, Simmons G, Pohlmann S, Baribaud F, Ni H, et al. (2003) Differential N-linked glycosylation of human immunodeficiency virus and Ebola virus envelope glycoproteins modulates interactions with DC-SIGN and DC-SIGNR. J Virol 77: 1337–1346. doi: 10.1128/jvi.77.2.1337-1346.2003
- 30. Lee RT, Hsu TL, Huang SK, Hsieh SL, Wong CH, et al. (2011) Survey of immune-related, mannose/fucose-binding C-type lectin receptors reveals widely divergent sugar-binding specificities. Glycobiology 21: 512–520. doi: 10.1093/glycob/cwq193
- 31. Cavasotto CN, Orry AJ (2007) Ligand docking and structure-based virtual screening in drug discovery. Curr Top Med Chem 7: 1006–1014. doi: 10.2174/156802607780906753
- 32. Kairys V, Fernandes MX, Gilson MK (2006) Screening drug-like compounds by docking to homology models: a systematic study. J Chem Inf Model 46: 365–379. doi: 10.1021/ci050238c
- 33. Schapira M, Raaka BM, Das S, Fan L, Totrov M, et al. (2003) Discovery of diverse thyroid hormone receptor antagonists by high-throughput docking. Proc Natl Acad Sci U S A 100: 7354–7359. doi: 10.1073/pnas.1131854100
- 34. Bissantz C, Bernard P, Hibert M, Rognan D (2003) Protein-based virtual screening of chemical databases. II. Are homology models of G-Protein Coupled Receptors suitable targets? Proteins 50: 5–25. doi: 10.1002/prot.10237
- 35. Diller DJ, Li R (2003) Kinases, homology models, and high throughput docking. J Med Chem 46: 4638–4647. doi: 10.1021/jm020503a
- 36. Poirier D, Boivin RP, Tremblay MR, Berube M, Qiu W, et al. (2005) Estradiol-adenosine hybrid compounds designed to inhibit type 1 17beta-hydroxysteroid dehydrogenase. J Med Chem 48: 8134–8147. doi: 10.1021/jm058235e
- 37. Qiu W, Campbell RL, Gangloff A, Dupuis P, Boivin RP, et al. (2002) A concerted, rational design of type 1 17beta-hydroxysteroid dehydrogenase inhibitors: estradiol-adenosine hybrids with high affinity. Faseb J 16: 1829–1831. doi: 10.1096/fj.02-0026fje
- 38. Qiu W, Zhou M, Mazumdar M, Azzi A, Ghanmi D, et al. (2007) Structure-based inhibitor design for an enzyme that binds different steroids: a potent inhibitor for human type 5 17beta-hydroxysteroid dehydrogenase. J Biol Chem 282: 8368–8379. doi: 10.1074/jbc.m606784200
- 39. Azzi A, Lin SX (2004) Human SARS-coronavirus RNA-dependent RNA polymerase: activity determinants and nucleoside analogue inhibitors. Proteins 57: 12–14. doi: 10.1002/prot.20194
- 40. Arnold K, Bordoli L, Kopp J, Schwede T (2006) The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling. Bioinformatics 22: 195–201. doi: 10.1093/bioinformatics/bti770
- 41. Schwede T, Kopp J, Guex N, Peitsch MC (2003) SWISS-MODEL: An automated protein homology-modeling server. Nucleic Acids Res 31: 3381–3385. doi: 10.1093/nar/gkg520
- 42. Guex N, Peitsch MC (1997) SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling. Electrophoresis 18: 2714–2723. doi: 10.1002/elps.1150181505
- 43. Jones G, Willett P, Glen RC, Leach AR, Taylor R (1997) Development and validation of a genetic algorithm for flexible docking. J Mol Biol 267: 727–748. doi: 10.1006/jmbi.1996.0897
- 44. Eldridge MD, Murray CW, Auton TR, Paolini GV, Mee RP (1997) Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes. J Comput Aided Mol Des 11: 425–445.
- 45. Irwin JJ, Shoichet BK (2005) ZINC–a free database of commercially available compounds for virtual screening. J Chem Inf Model 45: 177–182. doi: 10.1021/ci049714+
- 46. Lipinski CA, Lombardo F, Dominy BW, Feeney PJ (1997) Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Advanced Drug Delivery Reviews 23: 3–25. doi: 10.1016/j.addr.2012.09.019
- 47. Tremblay M, Meloche S, Gratton S, Wainberg MA, Sekaly RP (1994) Association of p56lck with the cytoplasmic domain of CD4 modulates HIV-1 expression. Embo J 13: 774–783.
- 48. Lambert AA, Barabe F, Gilbert C, Tremblay MJ (2011) DCIR-mediated enhancement of HIV-1 infection requires the ITIM-associated signal transduction pathway. Blood 117: 6589–6599. doi: 10.1182/blood-2011-01-331363
- 49. Wu L, Martin TD, Carrington M, KewalRamani VN (2004) Raji B cells, misidentified as THP-1 cells, stimulate DC-SIGN-mediated HIV transmission. Virology 318: 17–23. doi: 10.1016/j.virol.2003.09.028
- 50. Zar JH (1984) Biostatistical Analysis: 2nd edn. Englewood Cliffs: Prentice-Hall International, Inc, New Jersey.
- 51. Sokal RR, Rohlf FJ (1995) Biometry. New York: W.H. Freeman and company.
- 52. Guo Y, Feinberg H, Conroy E, Mitchell DA, Alvarez R, et al. (2004) Structural basis for distinct ligand-binding and targeting properties of the receptors DC-SIGN and DC-SIGNR. Nat Struct Mol Biol 11: 591–598. doi: 10.1038/nsmb784
- 53. Dearden J (2006) In silico prediction of aqueous solubility. Expert Opin Drug Discov 1: 31–52. doi: 10.1517/174604220.127.116.11
- 54. Tetko I, Poda G (2007) Property-based logP prediction; (ed. IRM, editor. Weinheim, Germany: Wiley-VCH.
- 55. Mannhold R, Poda G, Ostermann C, Tetko I (2008) Calculation of molecular lipophilicity: State-of-the-art and comparison of log P methods on more than 96,000 compounds. J Pharm Sci 98: 861–893. doi: 10.1002/jps.21494
- 56. Palella FJ Jr, Delaney KM, Moorman AC, Loveless MO, Fuhrer J, et al. (1998) Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV Outpatient Study Investigators. N Engl J Med 338: 853–860. doi: 10.1056/nejm199803263381301
- 57. Palella FJ Jr, Phair JP (2011) Cardiovascular disease in HIV infection. Curr Opin HIV AIDS 6: 266–271. doi: 10.1097/coh.0b013e328347876c
- 58. Trono D, Van Lint C, Rouzioux C, Verdin E, Barre-Sinoussi F, et al. (2010) HIV persistence and the prospect of long-term drug-free remissions for HIV-infected individuals. Science 329: 174–180. doi: 10.1126/science.1191047
- 59. Bhattacharya S, Osman H (2009) Novel targets for anti-retroviral therapy. J Infect 59: 377–386. doi: 10.1016/j.jinf.2009.09.014
- 60. Nikolopoulos G, Bonovas S, Tsantes A, Sitaras NM (2009) HIV/AIDS: recent advances in antiretroviral agents. Mini Rev Med Chem 9: 900–910. doi: 10.2174/138955709788681609
- 61. Moore JP, Doms RW (2003) The entry of entry inhibitors: a fusion of science and medicine. Proc Natl Acad Sci U S A 100: 10598–10602. doi: 10.1073/pnas.1932511100
- 62. Anderluh M, Jug G, Svajger U, Obermajer N (2012) DC-SIGN Antagonists, a Potential New Class of Anti-Infectives. Curr Med Chem.
- 63. Berzi A, Reina JJ, Ottria R, Sutkeviciute I, Antonazzo P, et al. (2012) A glycomimetic compound inhibits DC-SIGN-mediated HIV infection in cellular and cervical explant models. Aids 26: 127–137. doi: 10.1097/qad.0b013e32834e1567
- 64. Snyder GA, Ford J, Torabi-Parizi P, Arthos JA, Schuck P, et al. (2005) Characterization of DC-SIGN/R interaction with human immunodeficiency virus type 1 gp120 and ICAM molecules favors the receptor’s role as an antigen-capturing rather than an adhesion receptor. J Virol 79: 4589–4598. doi: 10.1128/jvi.79.8.4589-4598.2005
- 65. Wu L, KewalRamani VN (2006) Dendritic-cell interactions with HIV: infection and viral dissemination. Nat Rev Immunol 6: 859–868. doi: 10.1038/nri1960
- 66. Tran TH, El Baz R, Cuconati A, Arthos J, Jain P, et al. (2011) A Novel High-Throughput Screening Assay to Identify Inhibitors of HIV-1 gp120 Protein Interaction with DC-SIGN. J Antivir Antiretrovir 3: 49–54. doi: 10.4172/jaa.1000035
- 67. Celum CL (2011) HIV preexposure prophylaxis: new data and potential use. Top Antivir Med 19: 181–185.
- 68. Yuan Y, Maeda Y, Terasawa H, Monde K, Harada S, et al. (2011) A combination of polymorphic mutations in V3 loop of HIV-1 gp120 can confer noncompetitive resistance to maraviroc. Virology 413: 293–299. doi: 10.1016/j.virol.2011.02.019
- 69. Roche M, Jakobsen MR, Sterjovski J, Ellett A, Posta F, et al. (2011) HIV-1 escape from the CCR5 antagonist maraviroc associated with an altered and less-efficient mechanism of gp120-CCR5 engagement that attenuates macrophage tropism. J Virol 85: 4330–4342. doi: 10.1128/jvi.00106-11
- 70. Gougeon ML, Lecoeur H, Dulioust A, Enouf MG, Crouvoiser M, et al. (1996) Programmed cell death in peripheral lymphocytes from HIV-infected persons: increased susceptibility to apoptosis of CD4 and CD8 T cells correlates with lymphocyte activation and with disease progression. J Immunol 156: 3509–3520.
- 71. Sousa AE, Carneiro J, Meier-Schellersheim M, Grossman Z, Victorino RM (2002) CD4 T cell depletion is linked directly to immune activation in the pathogenesis of HIV-1 and HIV-2 but only indirectly to the viral load. J Immunol 169: 3400–3406. doi: 10.4049/jimmunol.169.6.3400