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Journal of Virology, November 2008, p. 10366-10374, Vol. 82, No. 21
0022-538X/08/$08.00+0 doi:10.1128/JVI.00470-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Tibotec BVBA, Mechelen, Belgium,1 Rega Institute for Medical Research, Katholieke Universiteit Leuven, Leuven, Belgium2
Received 4 March 2008/ Accepted 19 July 2008
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Early IN inhibitors (e.g., L-731,988 and S-1360) contained β-hydroxyl diketo moieties that were purported to engage the magnesium cations coordinated by the D,D(35)E motif in the active site of the enzyme and prevented strand transfer (4, 14, 20). The early diketo-containing compounds showed poor therapeutic indices and micromolar potency in antiviral assays. A naphthyridine-based compound (L-870,810) contained a new chemical scaffold and superior potency to the early diketo-containing molecules (19). However, the development of L-870,810 was discontinued due to toxicity observed in dogs. The hydroxypyrimidinone carboxamide MK-0518 (raltegravir [RAL]) (5) and the quinolone based GS-9137 (elvitegravir [EVG]; formerly, JTK-303) were then identified as promising lead compounds, and clinical development was initiated (5, 9, 18).
The emergence of resistance mutations to EVG and RAL will presumably influence the use of these inhibitors in various HAART regimens and, hence, help to guide the requirements for a second generation of IN inhibitors (10). Currently, data concerning the emergence of resistance mutations to both EVG and RAL are very limited (26, 33). While the analysis of larger patient resistance data sets will result in better knowledge of resistance pathways, indications of likely pathways can also be achieved with in vitro selection (IVS), which often elicits similar pathways of resistance to those observed in vivo. Furthermore, the genotyping and phenotyping of viruses obtained in vitro can be achieved rapidly, and confirmation with site-directed mutants (SDMs) enables the delineation of the change in drug susceptibility due to each individual mutation. In this way, a picture of the resistance pathways, changes in susceptibility, the degree of cross-resistance, and the identification of possible compensatory mutants and other resistance-associated mutations (RAMs) to a wide range of IN inhibitors can be built. Here, we report the results of IVS of HIV type 1 (HIV-1) with the investigational IN inhibitor EVG and describe mutations that confer reduced susceptibility to EVG and other IN inhibitors, including RAL.
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FIG. 1. Structure of seven different IN inhibitors. (1) Elvitegravir. (2) Raltegravir. (3) L-870,810. (4) PACA. (5) PICA. (6) L-731,988.
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MT4-LTR-enhanced green fluorescent protein (EGFP) cells were obtained by transfecting MT4 cells with a selectable construct encompassing the coding sequences for the HIV LTR as a promoter for the expression of EGFP and subsequent selection of permanently transfected cells.
MT4-cytomegalovirus (CMV)-EGFP cells were obtained by selection for permanently transformed MT4 cells with a CMV-EGFP reporter gene.
HIV-1 IIIB was provided by Guido van der Groen (Institute of Tropical Medicine, Antwerp, Belgium). HIV-1 molecular clone pHXB2D was provided by the Centre for AIDS Reagents (ARP206; Brussels, Belgium).
SDMs of IN coding sequences were constructed in the pUC19-5'HXB2D vector (XbaI-SalI fragment of pHXB2D), containing the HIV-1 clone HXB2D IN coding sequence, by using a QuikChange site-directed mutagenesis kit (Stratagene, La Jolla, CA) and high-performance liquid chromatography-purified primers (Genset Oligos, La Jolla, CA). Altered plasmid sequences were confirmed by dideoxyribose sequencing.
Generation of the SDM virus stocks. MT4 cells were subcultured at a density of 250,000 cells/ml on the day before transfection. Cells were pelleted and resuspended in phosphate-buffered saline at a concentration of 3.1 x 106 cells/ml. A 0.8-ml portion (2.5 x 106 cells/ml) was used for each transfection. Transfections were performed with a Bio-Rad Gene Pulser (Bio-Rad, Hercules, CA) with 0.4-cm electrode cuvettes (Bio-Rad). Cells were electroporated with 10 µg of SalI-linearized pUC19-3'HXB2D (SalI-XbaI fragment of pHXB2D) and 5 µg of SalI-digested SDM at 250 µF and 300 V, followed by a 30-min incubation at room temperature. Ten milliliters of fresh culture medium was then added to the suspension of transfected cells, and incubation was performed at 37°C in a humidified atmosphere with 5% CO2. Cell cultures were monitored for the appearance of cytopathic effect (CPE). At virus breakthrough (full CPE), culture supernatant was typically harvested by centrifugation at 8 to 10 days after transfection and was stored at –80°C for subsequent drug susceptibility determination.
Antiviral assays. The antiviral activity of different inhibitors was determined in a cell-based HIV-1 replication assay. Briefly, MT4-LTR-EGFP cells (150,000 cells/ml) were infected with HIV-1 (IIIB, HXB2D, selected viruses, or site-directed mutant strains; multiplicity of infection [MOI] of 0.0025) in the presence or absence of inhibitor. After 3 days of incubation, the inhibition of HIV replication was quantified by measuring EGFP fluorescence, and expressed as the inhibitor concentration required for 50% inhibition of HIV-1 replication in cell culture (EC50). The cytotoxicity of inhibitors was determined in parallel on mock-infected MT4-CMV-EGFP cells (150,000 cells/ml) cultured in the presence or absence of test compound concentrations (data not shown). After 3 days of incubation, inhibition of cell proliferation was quantified by measuring the EGFP fluorescence and expressed as the compound concentration that inhibits cell growth by 50% (cytotoxicity).
Genotyping. Viral RNA was extracted from culture supernatant or virus stock using a NucliSens easyMAG apparatus (bioMérieux, Marcy l' Etoile, France), a high-throughput automated nucleic acid extraction system. cDNA encoding reverse transcriptase and IN was generated with Expand Reverse Transcriptase (Roche Diagnostics, Basel, Switzerland), followed by amplification of the IN region by nested PCR (1,456 bp). PCR products were genotyped by automated population-based full-sequence analysis (ABI Prism BigDye Terminator cycle sequencing; Applied Biosystems, Foster City, CA). Sequencing results were reported as amino acid changes compared with the HIV-1 IIIB wild-type reference sequence. Mutations present in more than 25% of the total virus population could be detected as a mixture with the wild-type virus. HIV-1 IIIB and HIV-1 HXB2D are two distinct wild-type strains with similar phenotypes for the IN inhibitors tested in this study. These two wild-type virus strains differ genetically in three residues of the IN sequence. The HIV-1 IIIB IN sequence contains residues T124, D232, and V265, whereas the HIV-1 HXB2D IN sequence contains A124, N232, and A265. Moreover, D232N and A124T have been reported as IN polymorphisms in HIV-1 (25). Starting from HIV-1 IIIB, mutations T124A, D232N, and V265A were observed in the genotypes of viruses selected with EVG. As these mutations are consistent with the observed polymorphisms and differences between the HIV-1 IIIB and HIV-1 HXB2D IN sequences and no large EC50 difference was observed for the tested IN compounds between the strains, these mutations did not contribute to the IN resistance and consequently have been omitted from the results and discussion sections.
Classical in vitro selection experiments. Classical in vitro selection was performed as described before (35). Briefly, in a T25 tissue culture flask, MT4-LTR-EGFP cells were propagated in a volume of 10 ml and infected with HIV-1 wild-type strain IIIB (0.01 to 0.001 the 50% cell culture infectious dose) in the presence of EVG at a concentration of 5 nM. Cultures were examined every 3 to 4 days for signs of virus replication. Upon virus breakthrough, the supernatant was collected, and an aliquot was used to infect fresh cultures in the presence of a twofold higher concentration of EVG than was used to infect the previous culture. This procedure was repeated up to an EVG concentration of 10 µM. Viral replication was assessed by microscopic scoring of the cytopathogenicity and virus-induced fluorescence, and viral breakthrough was defined as microscopic evidence of extensive viral replication in all cell clusters (full CPE). Samples for genotyping and phenotyping were obtained from the harvested supernatant.
Automated in vitro selection experiments in 96-well plates. In vitro selection was performed in 96-well plates, with each row representing a separate IVS experiment (Fig. 2). MT4-LTR-EGFP cells (400,000 cells/ml) and HIV-1 IIIB (MOI of 0.01) were added to the wells of a 96-well plate containing a serial 1:2 dilution range of EVG (3 µM to 3 nM), and plates were incubated in a humidified incubator with a 5% CO2 atmosphere at 37°C. After 3 to 4 days, 30 µl of virus-containing supernatant was harvested from each well and split in three 10-µl portions. These portions were used to infect the 150 µl of fresh cells in the wells of the same row in a new compound plate with, respectively, 1x (same as originating well), 2x, and 4x the EVG concentration. This procedure was repeated every 3 to 4 days. When virus replication was evident in wells at the highest concentration of EVG, the supernatant was harvested and used for genotyping, phenotyping, and propagating new virus stock. In contrast with the classical IVS experiments, where compound concentration is only increased at viral breakthrough, this method uses a protocol where the virus is challenged with an increased compound concentration at each passage.
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FIG. 2. Automated IVS in 96-well plates. (A) A stock of 96-well plates was generated and stored at –20°C. Each row of a plate contained a 1:2 dilution series of EVG, with the highest concentration (3 µM) in column 1 and the lowest concentration (3 nM) in column 11. MT4-LTR-EGFP cells and HIV-1 IIIB were added to row 1-12 and row 1-11, respectively. Column 12 was used as a cell control. Every 3 to 4 days, a new growth cycle was initiated. To this end, a compound plate was thawed, and fresh cells were added. Next, virus-containing supernatant (SN) was harvested from each well of the previous plate and split in three portions that were used to infect cells in the wells on the same row in the new plate with, respectively, 1x (same as originating well), 2x, and 4x the EVG concentration. When 100% virus breakthrough was observed in the wells of column 1 (3 µM), virus was harvested for genotyping. (B) Every passage, a fluorescent scan was generated from the plates just before the recultivation cycle. Pictures for the plates of passage 6, 9, 11, 16, 26, and 27 are shown.
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TABLE 1. HIV-1 IIIB strains selected in the presence of EVG using classical IVS
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FIG. 3. Classical IVS of EVG-resistant HIV-1 strains. MT4-LTR-EGFP cells were infected with HIV-1 IIIB (black star) and grown in the presence of EVG. Cells were passaged every 3 to 4 days (small squares). When full virus breakthrough was observed (black dots), viruses were harvested, and the concentration of EVG was doubled. Genotypes of harvested viruses are indicated next to the black dots; phenotypes (EVG EC50) of viruses IIIB/GS-9137(#9), IIIB/GS-9137(#13), IIIB/GS-9137(#22), and IIIB/GS-9137(#41) were determined using a cellular antiviral assay.
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Automated in vitro selection of EVG-resistant viruses. A recently described method that uses an automated IVS approach in 96-well plates (D. Jochmans, M. Van Ginderen, I. De Baere, S. Hallenberger, and G. Kraus, presented at the 16th International HIV Drug Resistance Workshop, Barbados, West Indies, 12 to 16 June 2007) was used to select EVG-resistant strains starting from HIV-1 IIIB. Here, the virus is challenged with an increased compound concentration at each passage and not only at virus breakthrough, as is done for classical IVS. Using this method, eight parallel IVS experiments were performed simultaneously. Virus samples were taken at every passage and genotyped to identify mutations. Viral propagation continued up to a final concentration of 3 µM EVG. The genotypes observed at this concentration are shown in Table 2. All viruses were phenotyped to reveal changes in susceptibility to EVG and other inhibitors (see Fig. 5). Virus was able to grow at the final concentration of 3 µM EVG after 16 to 27 passages or 56 to 95 days (Table 2). A number of the mutations observed in the viruses selected with EVG have been observed in a phase 2b study with this IN inhibitor (e.g., Q148R, E92Q, T66I/A, and E138K) (D. McColl, S. Fransen, S. Gupta, N. Parkin, N. Margot, S. Chuck, A. Cheng, and M. Miller, presented at the 11th European Aids Conference, Madrid, Spain, 24 to 27 October 2007), supporting the relevance of this automated IVS method to clinical data.
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TABLE 2. Overview genotypes of eight viruses out of the automated IVS experiments in 96-well plates at a final concentration of 3 µM EVG
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FIG. 5. Cross-resistance of the HIV-1 selected strains (automated IVS) for different IN inhibitors. The regrown viruses from the automated IVS were tested for susceptibility to EVG and other IN inhibitors. Relative changes in susceptibility of the viruses compared with wild-type IIIB virus are displayed on the graph.
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FIG. 4. Susceptibility of the HIV-1 selected strains (classical IVS) to antiviral IN inhibitors. The susceptibilities of the HIV strains to the presence of high EVG concentrations were determined. Relative changes in the susceptibility of the viruses IIIB/GS-9137(#9), IIIB/GS-9137(#13), IIIB/GS-9137(#22), and IIIB/GS-9137(#41) compared with wild-type IIIB virus are displayed for the different IN inhibitors.
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The eight resistant viruses from the automated IVS were recultured and tested for susceptibility to EVG. Susceptibility to the panel of other IN inhibitors was also determined in order to establish the degree of cross-resistance (Fig. 5). The regrown viruses were genotyped to confirm the previously observed genotypes (Table 2). The mutations E138E/K and Q148Q/R, present in virus 3 (T66T/I A128A/T E138E/K Q148Q/R S230R), were not observed after reculturing, whereas T66T/I developed to T66I. The mutation S230R present in virus 3 and virus 7 (R20R/K T66I L74L/M S230R) was observed as a mixture S230S/R after reculturing.
Virus 1 (E138K Q148R) was 162 times less susceptible to EVG and was reduced in susceptibility to the rest of the panel of IN inhibitors. Viruses 2, 3, and 4 showed large (91- to 63-fold) reductions in susceptibility to EVG. These viruses were also 5 to 49 times less susceptible to the remaining IN inhibitors. Virus 5 (E92E/Q E138E/K Q148Q/R) and virus 6 (T66T/A E92Q) were, respectively, 43- and 39-fold less sensitive to EVG. Both viruses were also less susceptible to the other IN inhibitors (4- to 19-fold). Virus 7 (R20K/R T66I L74L/M S230R/S) and virus 8 (T66I) showed, respectively, a 34- and 11-fold reduction in susceptibility to EVG and nearly wild-type susceptibility to RAL, with modest reductions in susceptibility to the other IN inhibitors (Fig. 5).
Confirmation of primary resistance mutations. In order to identify the primary RAMs, recombinant viruses with single point mutations in the IN sequence were constructed. The IN mutations R20K, T66A/I, L74M, E92Q, H114Y, A128T, E138K, Q148R, N155H, and S230R were incorporated as SDMs in the backbone of HIV-1 HXB2D. The resulting viruses were phenotyped to determine the change in susceptibility to EVG and other IN inhibitors (Fig. 6).
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FIG. 6. Susceptibility of HIV-1 IN recombinant clones (SDMs). The displayed IN mutations were incorporated as SDMs in the backbone of HIV-1 (HXB2D). Relative changes in susceptibility of the viruses for the different compounds are shown on the graph.
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Replication kinetics of mutant HIV-1 viruses. To investigate whether the drug-induced mutations affect viral replication capacity, the HIV-1 viruses selected with the classical IVS and the recombinant viruses were examined for their ability to replicate in MT4 cells in comparison with their respective parental strains. Replication kinetics of the selected viruses IIIB/GS-9137(#9), IIIB/GS-9137(#13), IIIB/GS-9137(#22), and IIIB/GS-9137(#41) were comparable to the replication of the parental HIV-1 IIIB strain (Fig. 7A). All recombinant strains showed reduced replication fitness in comparison with wild-type HXB2D (Fig. 7B). Recombinant viruses with the mutation N155H or A128T showed large reductions in p24 production relative to the replication of the wild-type HIV-1 HXB2D, while the recombinant virus with the mutation E138K had only a moderate reduction in p24 level. The recombinant viruses with the single mutation Q148R, E92Q, T66I, T66A, H114Y, L74M, R20K, or S230R showed only a small reduction in replication capacity relative to the wild type.
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FIG. 7. Replication kinetics of mutant viruses. MT4 cells were infected with the selected viruses (classical IVS) (A) or recombinant viruses (B) at an MOI of 0.0001. Cells were evaluated microscopically for HIV-induced CPE, and viral p24 levels were determined daily in cell-free supernatant. Experiments were done in duplicate.
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FIG. 8. Mapping of the IN mutations within the HIV-1 IN catalytic site. A three-dimensional docking model of the catalytic core domain of HIV-1 IN with EVG (orange), based on the two-metal model of Savarino (31) is shown. The catalytic triad residues (D64, D116, and E152) are shown in green, and the magnesium ions are in blue. The indole ring of 5CITEP (cyan) is used as a surrogate for the adenine of the terminal residue of the 3' processed viral DNA. Amino acid residues conferring resistance to EVG as primary mutations are shown in red while the remaining mutations are highlighted in yellow.
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Two different methods for the selection of viruses resistant to EVG were employed here. In addition to a classical IVS experiment, we report a resistance selection protocol in 96-well plates, automated IVS (Fig. 2), where each row of the plate contains an independent selection experiment. This protocol enabled us to perform up to eight IVS experiments in parallel, which gives a greater throughput than the classical selection experiments and results in larger data sets. The eight viruses obtained using automated IVS with EVG contained distinct genotypes, demonstrating that automated IVS can serve to increase diversity of results obtained by enabling the emergence of complementary or alternative resistance pathways. Furthermore, the novel method uses a protocol whereby the virus is challenged with an increased compound concentration at each passage and not only at virus breakthrough, as is done for classical IVS.
To gain further understanding of the antiviral (cross-) resistance patterns and mechanisms of EVG, the HIV-1 IIIB strains selected in the presence of increasing concentrations of this IN inhibitor were analyzed genotypically and phenotypically at different stages of the selection process. In total, nine selection experiments with EVG were performed, one by classical IVS and eight by automated IVS. At least one of the four mutations, T66A, T66I, E92Q, and Q148R, was present in the nine resulting viruses (Tables 1 and 2 and Fig. 3). These four mutations conferred resistance to EVG, which was confirmed by recombinant viruses with SDMs. The changes in susceptibility due to the Q148R and E92Q mutations were 96-fold and 57-fold, respectively, whereas the changes conferred by the T66I and T66A mutations were 33-fold and 9-fold, respectively. Hence, these mutations could also be considered primary mutations associated with EVG resistance. The SDMs were also assessed for their susceptibility to other IN inhibitors, including RAL, PACA, L-870,810, PICA, and L-731,988. Q148R yielded a 15-fold reduction in susceptibility to RAL. Whereas E92Q and T66A displayed, respectively, a threefold and twofold reduction in susceptibility to RAL, T66I did not affect sensitivity to RAL. Taking into account all IN inhibitors (Fig. 6), the Q148R mutation is proposed as the most important RAM for a wide range of IN inhibitors with diverse chemical scaffolds. The E92Q mutation is identified as a mutation capable of conferring reduced susceptibility to diverse IN inhibitors, albeit with a small reduction in susceptibility to RAL. In addition, T66I confers reduced susceptibility to the IN inhibitors but to a lesser degree than both Q148R and E92Q. Mutation T66A confers reduced susceptibility to EVG but not to the other IN inhibitors.
The mutations H114Y, L74M, R20K, A128T, E138K, and S230R were observed accompanying one or more of the four primary mutations. In the context of single mutations in SDMs, however, they resulted in little or no change in EVG susceptibility (Fig. 6). Moreover, these mutations did not cause large changes to RAL, PACA, L-870,810, PICA, or L-731,988.
The mutation T66I has been previously reported as a resistance mutation conferring reduced susceptibility to the diketo acid inhibitors S-1360 (14) and L-731,988 (20). Shimura (33) also reported T66I and E92Q as RAMs of EVG. However, in those studies the Q148R mutation was not detected after selection with EVG. Other studies already identified Q148R to be associated with in vivo resistance to RAL (D. J. Hazuda, M. Miller, B. Y. Nguyen, and J. Zhao, presented at the XVI International HIV Drug Resistance Workshop, Barbados, West Indies, 12 to 16 June 2007) and to EVG (D. McColl, et al., presented at the 11th European Aids Conference, Madrid, Spain). Also N155H has been reported as a primary IN resistance mutation among patients with virologic failure for RAL (26) or EVG. We did not select the latter mutation, but our N155H-containing SDM showed a 32-fold reduction in EVG susceptibility, underscoring its importance. Shimura et al. (33) previously selected HIV-1 strains in the presence of EVG. The selected strains showed two distinct resistance pathways: one pathway consisting of T66I, Q95K, E138K, Q146P, and S147G and a second pathway comprising the mutations H51Y, E92Q, S147G, and E157Q in the IN sequence. Our experimental data confirm the emergence of E138K and T66I but not Q95K, Q146P, H51Y, S147G, and E157Q, highlighting the need for further research into the resistance pathways employed by HIV to evade drug pressure from IN inhibitors. It is possible that new mutations will emerge from other resistance selection experiments, and data from clinical trials will likely indicate which mutations are the most significant.
The selected (classical IVS) and recombinant strains were examined for their ability to replicate in MT4 cells in comparison with their respective wild-type strains (Fig. 7). The four selected viruses, IIIB/GS-9137(#9), IIIB/GS-9137(#13), IIIB/GS-9137(#22), and IIIB/GS-9137(#41), were similar to the wild type in their replication capacity. The recombinant viruses with the single mutation Q148R, E92Q, T66I, T66A, H114Y, L74M, R20K, or S230R showed a moderate or small reduction in replication capacity relative to the wild type. A large reduction in replication compared with the wild type was observed for the viruses with the single mutation N155H or A128T. As N155H is a primary IN resistance mutation among patients with virologic failure for IN inhibitors, it is possible that additional mutations might have developed after the N155H mutation was generated to compensate for the reduced replication. Clearly, more investigation will be necessary to identify possible compensatory mutations and their role on the behavior of the IN enzyme.
Recently, Savarino (31) reported an in silico docking simulation of HIV-1 IN with several IN inhibitors, including EVG. The model was derived from an X-ray structure of 5CITEP [1-(5-chloroindol-3-yl)-3-(tetrazoyl)-1,3-propandione-ene] bound to the catalytic core domain of IN (16), with two magnesium ions into the active site. The indole ring of 5CITEP was used as a surrogate for the adenine of the terminal residue of the 3'-processed viral DNA. As a best docking pose for EVG, Savarino suggested that the β-hydroxyl carboxylate chelates the magnesium ion between D64 and E152 and that the hydroxylic oxygen in the isobutyl substituent coordinates the second magnesium ion. Figure 8 shows the in silico docking model of Savarino, with the mutations acquired by selection with EVG highlighted. The primary resistance mutations Q148R, E92Q, T66I/A, and N155H are located adjacent to the catalytic triad of IN and are surrounded by the more distant potentially secondary mutations H114Y, L74M, A128T, and E138K. In this model the isobutyl substituent of EVG is oriented toward E92, and the hydroxyl in the isobutyl substituent replaces one of the water molecules through which E92 coordinates the magnesium ion between D64 and D116. Therefore, it is not surprising to see that the primary mutation E92Q confers a substantial decrease in susceptibility to EVG. According to the model, there is no direct interaction between T66 and the compound, but given the short distance between T66 and EVG, a water-mediated interaction, through which a T66I/A mutation might have an effect, is plausible.
The effect of the Q148R mutation on catalytic activity could be explained in two ways. In a first hypothesis, Q148R reduces the affinity of the enzyme for magnesium (11). Q148 is located in a flexible loop (residues 141 to 148). By X-ray crystallography, Greenwald and colleagues (17) showed that mutations in the flexible loop could have an effect on the catalytic activity. Such mutations would also be expected to modulate the activity of active-site inhibitors. In addition, a recent IN inhibitor binding model concluded that strand transfer inhibitors bind close to the flexible loop and that inhibitor binding impedes loop mobility and hence catalytic activity (7). Therefore, the flexible loop and thus Q148 are important for strand transfer inhibitor binding (16). According to Dicker and coworkers (11), the Q148R mutation shifts the flexible loop equilibrium to a state that hampers magnesium binding by E152. Consequently, the susceptibility to inhibitors that are believed to chelate the two magnesium ions is reduced, but viral replication and fitness are also affected. Secondly, Q148R has an influence on the binding of the viral LTR (15, 22). In the model of Savarino, Q148 is in close contact with the indole ring of 5CITEP (Fig. 8), which shows an interaction between Q148 and the terminal adenine of the 3' processed viral DNA. A plausible explanation for the effect of the Q148R mutation speculates on this direct interaction (15, 22). Mutations that shift the equilibrium of bound viral DNA can interfere with the effect of inhibitors (32). Previous hypotheses about Q148R all share the common features that both catalytic activity and affinity for the inhibitor are reduced. This leads to a reduction in viral susceptibility to EVG and RAL and also results in a penalty on fitness and replication efficiency of the virus that nevertheless does not preclude its selection in the clinic (D. McColl, et al., presented at the 11th European Aids Conference, Madrid, Spain).
The amino acids at positions L74, H114, E138, and A128 are distal to the catalytic site (Fig. 8) and are not expected to make direct contact with the inhibitor. No large susceptibility changes to EVG or RAL were conferred by L74M, H114Y, E138K, and A128T when the mutations were included singularly as SDMs (Fig. 6). These are possibly compensatory mutations, where the fitness or replicative capacity penalty resulting from the primary resistance mutation may be partially compensated by changes in the backbone of the protein and in the geometry of the catalytic triad. It is possible that the L74M mutation (located on β-sheet β2) could influence the positioning of D64 (located on β-sheet β1 and via H bonds interacting with V75), thereby interfering with the coordination of magnesium by the catalytic triad (Fig. 8). Additionally, H114Y may impart a subtle influence on D116, another important residue in the catalytic triad. The residue E138 is distal from the catalytic site located on β-strand β5 that is parallel to β-strand β4, on which H114 and D116 are situated (Fig. 8) and is unlikely to contact the inhibitor.
A better knowledge of the enzymatic activity, replication kinetics, and fitness of IN inhibitor-resistant mutant viruses and enzymes would improve the understanding of the resistance mechanism of the RAMs and allow the identification of compensatory mutations. New mutations will likely arise from other IVS experiments and from clinical trials. Together, these data will enhance our understanding of the nature of the binding of IN inhibitors and therefore contribute to a low-resolution structural model that may resemble the IN-DNA-inhibitor complex and offer a tool for the development of second-generation IN inhibitors.
Published ahead of print on 20 August 2008. ![]()
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