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Current Drug Targets – Infectious Disorders 2003, 3, 355-371 355 Fitness Variations and their Impact on the Evolution of Antiretroviral Drug Resistance Luis Menéndez-Arias 1,*, Miguel A. Martínez2, Miguel E. Quiñones-Mateu3, 2 and Javier Martinez-Picado 1 Centro de Biología Molecular “Severo Ochoa”, Consejo Superior de Investigaciones Científicas – Universidad Autónoma de Madrid, 28049 Madrid, Spain; 2Laboratorio de Retrovirología, Fundación irsiCaixa, Hospital Universitario Germans Trias i Pujol, Badalona, Barcelona, Spain; 3Department of Virology, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA. Abstract: The human immunodeficiency virus (HIV) exhibits extensive heterogeneity due to its rapid turnover, high mutation rate, and high frequency of recombination. Its remarkable genetic diversity plays a key role in virus adaptation, including development of drug resistance. The increasing complexity of antiretroviral regimens has favored selection of HIV variants harboring multiple drug resistance mutations. Evolution of drug resistance is characterized by severe fitness losses, which can be partially overcome by compensatory mutations or other adaptive changes that restore virus replication capacity. Recent reports have addressed the impact of drugresistance mutations on viral fitness. Methods include in vitro estimates based on the determination of viral replication kinetics, viral infectivity in single-cycle assays and growth competition experiments; as well as estimates of the relative fitness of viral populations in vivo calculated from standard population genetics theory. This review focuses on the effects in viral fitness of mutations arising during treatment with reverse transcriptase and protease inhibitors, and the molecular mechanisms (including compensatory mutations) that improve the viral fitness of drug-resistant variants. Key Words: HIV, fitness, drug resistance, antiretroviral drugs, protease, reverse transcriptase, evolution. INTRODUCTION In a human immunodeficiency virus (HIV)-infected individual, the rapid turnover, the high mutation rate and the high frequency of recombination result in a diverse population. The HIV-1 reverse transcriptase (RT) is errorprone, and its error rate has been estimated at between 10 -4 to 10-5 mutations per nucleotide and cycle of replication (for recent reviews see ref. [1, 2]). If one assumes that 109-1010 virions are produced each day in an infected person, then they must be the product of at least 107-108 replication cycles. Given the length of the HIV-1 genome (approximately 10,000 nucleotides), it is likely that every single possible point mutation (and probably many double mutations) will occur at least once each day, in an infected individual. Although specific combinations of multiple mutations may be rare, it is clear that the degree of potential genetic change drives the diversification of HIV-1 in response to the selective pressure of host immune responses or antiretroviral therapy. The introduction of potent antiretroviral therapies has been an important achievement towards the control of HIV infection and AIDS. However, the development of resistance *Address correspondence to this author at Centro de Biología Molecular “Severo Ochoa”, CSIC – Universidad Autónoma de Madrid, Cantoblanco, 28049 Madrid, Spain; Tel: 34-913978477; Fax: 34-913974799; E-mail: [email protected] 1568-0053/03 $41.00+.00 constitutes a major hurdle towards long-term efficacy of current antiretroviral therapies [3]. The evolutionary pathways leading to resistance have been widely studied for many antiretroviral drugs. In general, drug resistance mutations emerge at the expense of a loss in viral fitness. Fitness is a complex parameter aimed at describing the replicative adaptability of an organism to its environment. For HIV (and other RNA viruses), an experimentally useful approach to fitness is its relative ability to produce stable infectious progeny in a given environment (i.e. cell culture, blood stream, etc.) (for reviews, see refs. [4, 5]). Evolution of resistance to antiretroviral drugs is characterized by significant fitness loss and subsequent repair strategies that include compensatory mutations in the targeted gene, as well as other molecular mechanisms that improve the replication capacity of the virus. The recognition of virological and clinical correlates of viral fitness is becoming more and more important in the clinical setting, and in this review we will discuss on the relevant techniques used to measure fitness, the effect of drug resistance mutations on viral fitness and their implications in the management of HIV infection. TECHNIQUES USED TO ESTIMATE VIRAL FITNESS WITH DRUG-RESISTANT HIV VARIANTS Viral fitness refers to the ability of a virus to reproduce in a defined environment. In vivo fitness depends on multiple viral and host factors. First, all events involved in the virus © 2003 Bentham Science Publishers Ltd. 356 Current Drug Targets – Infectious Disorders 2003, Vol. 3, No. 4 life cycle could have an impact on the virus replication capacity: (i) target cell entry, (ii) reverse transcription, (iii) integration, (iv) gene expression, (v) assembly, (vi) egress, and (vii) maturation. In addition, there are selective factors that impose certain constraints on viral replication. These factors include the state of the host cell for optimal replication and virion production, the host immune system, the density of target cells at the site of infection, the number of transmitted virions, and the complex distribution of closely related but distinguishable genomes that constitute the so-called viral ‘quasispecies’ [5]. Emergence of mutations during treatment with current antiretroviral drugs [mostly, RT and protease (PR) inhibitors] is likely to affect the catalytic efficiency of those viral enzymes, having a detrimental effect on viral replication. Enzymatic assays provide good estimates of the effect of drug-resistance mutations on the catalytic efficiency of the viral enzymes. PR activity assays monitoring cleavage of model oligopeptide substrates or precursor polyproteins have been used to determine their proteolytic efficiency. Resistance mutations are often associated with a significant loss of catalytic efficiency (reduced kcat /Km values), or with low vitality values [6, 7]. In a similar way, the effect of mutations in the RT are clearly revealed through monitoring the polymerase or RNase H activities of the enzyme, or its processivity. Amino acid substitutions that diminish the catalytic efficiency of the viral enzymes are expected to have a detrimental effect on the replication capacity of the virus, rendering viruses which are less fit that their wildtype counterpart. For this purpose, replication kinetics assays that quantify the efficiency of HIV replication in parallel cultures, and competitive culture assays in which the proportions of the competing viruses are carefully monitored over time using various techniques (sequencing, differential hybridization, heteroduplex mobility assays, TaqMan real-time polymerase chain reaction, etc.) are a much better choice (reviewed in [8]). Several studies have extended the definition of relative fitness by comparing (i) the virus turnover in HIV-1-infected individuals, (ii) HIV-1 production in cultures infected with different viruses, (iii) virion (infectious)/virus particle ratios, and (iv) HIV infectivity in single-cycle infectious assay. The simplest method to obtain a relative fitness value is by comparing the replication curves for each virus after infection of cell cultures, and then measuring the amount of p24 antigen or RT activity in the culture supernatants [9-13]. These assays are usually done with MT-2, MT-4 or phytohemagglutinin-stimulated peripheral blood mononuclear cells (PBMC). This method is suitable to show significant differences in replication kinetics between viable viral variants, but is less sensitive to subtle fitness differences between viruses. In growth competition experiments, two viral variants are mixed to produce an infection, and after successive passages, the amount of each virus is measured by using a distinctive genetic trait. For example, an infection with wild-type and drug resistant variants, at 1:1 or a different ratio is carried out, and then followed in cell culture after several passages (i.e. in MT-2 cells, or in phytohemagglutinin-stimulated Menéndez-Arias et al. PMBCs), by measuring the relative amount of the drug resistance mutation [12-16]. Mathematical interpretation of the growth competition experiments may result in the determination of a relative fitness value from the equation p/q = [p(0)/q(0)] x (fitness)T , where p is the proportion of less fit virus, q is the proportion of more fit virus, 0 indicates time 0, and T is the time in viral generations [17, 18]. This approach may not be adequate to study HIV fitness variation, since the model does not take into account changes in the multiplicity of infection over time. More complex methods that can be used not only for steady-state viral populations, but also for decreasing or expanding viral populations have also been described [19, 20]. Growth competition experiments are more sensitive than replication kinetics in order to detect fitness differences between viral variants. Another advantage of this method is that the replicative abilities of the two competing viral strains are determined under identical conditions. However, these assays can take weeks to perform and are labor intensive, limiting their use in the clinical setting. Relative estimates of viral infectivity have been determined in experiments carried out independently with each virus. In these assays, a fixed amount of virus (equivalent to 5-10 ng of HIV-1 p24), grown in the absence or in the presence of antiretroviral drugs, is used to infect indicator P4 cells in a single cycle. Upon infection, P4 cells produce βgalactosidase, whose activity can be detected through the cleavage of chlorophenolred-β-D-galactopyranoside. The ratio of mutant to wild-type infectivity is calculated to obtain a fitness-related value [21]. A similar method uses GHOST cells that are stably transduced with the green fluorescent protein linked to the HIV-1 long terminal repeat. Then, the expression of the green fluorescent protein is induced with the viral protein Tat [22]. The first commercially available assay uses luciferase expression as reporter of single cycle infection, and a virus containing a recombinant pol gene [23, 24]. This method is a modification of the single-round recombination virus assay used to determine viral drug susceptibility (marketed as PhenoSense, ViroLogic Inc., San Francisco, California, USA) [25 ]. An important issue to be considered when obtaining relative fitness values refers to the viral isolates or strains used in the assays. Reported fitness determinations have been obtained with reference viral strains (usually, HXB2 or NL4-3) in which mutations were introduced by site-directed mutagenesis, with recombinant variants obtained by introducing the PR or the RT coding-region within a reference clone lacking that particular gene, or alternatively with natural isolates obtained from HIV-infected patients after coculture in PBMCs. It is clear that the genetic background in each case adds complexity to the interpretation of the results. Thus, it is easier to draw conclusions from fitness experiments carried out with viruses containing one or two mutations introduced by site-directed mutagenesis, than from experiments involving clinical isolates. A recent study has shown that molecular defects in the RT, in the PR, or in both may contribute to the infectivity and replicative capacity phenotype of a clone [22]. For example, the increase or diminution of fitness observed when a PR variant is introduced in a recombinant virus may not be the Viral Fitness and Antiretroviral Drug Resistance same if the recombined fragment includes the PR alone or both the PR- and the RT-coding regions. In addition, these defects can be expressed differently depending on the cellular system used for testing [26]. Analyzing Fitness In Vivo The relative fitness of viral populations in vivo can be estimated from their relative rates of outgrowth which can be calculated from standard population genetics theory. Thus, if time is given in generations, the relative frequency over time is given by the equation: ln[p2(t)/p1(t)] = ln[p 2(0)/p1(0)] + (s2-s1)t where p2 and p 1 represent the relative frequency of two viral populations, with constant fitness of 1+ s1 and 1 + s2, respectively (s2 > s 1, and the fitness of wild-type virus is 1). Hence, if ln(p2/p1) is plotted against time, the intercept gives an estimate of the relative frequency of the mutants prior to therapy and the slope gives an estimate of the relative fitness of the mutants, which can be obtained by fitting linear models. For HIV, the generation time is usually assumed to be 2.6 ± 0.8 days [27]. Examples illustrating the applications of these methods to HIV drug resistance have been described [17,28,29]. As in growth competition experiments, DNA sequencing [20, 28], differential hybridization [30] or primer-guided nucleotide incorporation assays [29] can be used to detect the distinct genetic trait characterizing the competing viral populations (i.e. the relative amounts of the wild-type ATG, and resistant mutants ATA or GTG at codon 184 of HIV-1 RT, during treatment with lamivudine [29]). Although in vivo fitness studies are useful to follow the emergence of drug resistant mutants, and provide the best estimate of fitness, they cannot make an accurate determination of the impact of specific substitutions on the viral replicative capacity. The dominance of specific quasispecies (i.e. drugresistant variants) in the blood, which could be less fit in other compartments (i.e. lung or central nervous system), or the differences in host genetics and immune response are important issues that hamper the analysis of fitness in vivo. FITNESS AND DEVELOPMENT OF RESISTANCE TO PR INHIBITORS The proviral DNA is transcribed and translated by cellular enzymes to produce large polypeptide chains that are referred to as polyproteins. The HIV-1 PR cleaves two of these polyproteins (Gag and Gag-Pol) into smaller functional proteins, thereby allowing the virion to mature. The HIV-1 PR is a homodimeric enzyme composed of two polypeptide chains of 99 residues. The side chains of Arg-8, Leu-23, Asp-25, Gly-27, Ala-28, Asp-29, Asp-30, Val-32, Ile-47, Gly-48, Gly-49, Ile-50, Phe-53, Leu-76, Thr-80, Pro-81, Val-82 and Ile-84 form the substrate binding pocket and can interact with specific inhibitors [31], such as those used in clinical treatment of AIDS. Currently approved PR inhibitors include saquinavir, ritonavir, indinavir, nelfinavir, amprenavir, lopinavir and atazanavir. They all share relatively similar chemical structures and cross-resistance is commonly observed in the clinical setting. Primary resistance mutations usually involve Current Drug Targets – Infectious Disorder 2003, Vol. 3, No. 4 357 amino acid substitutions at positions located at the substrate/inhibitor binding site. Examples are D30N, G48V, I50V, V82A, or I84V, among others. Often, these amino acid changes have a deleterious effect on the replication kinetics of HIV-1 [9, 10, 12, 13, 32] (Table 1). The effects caused by drug resistance mutations can be rescued by other amino acid replacements. For example, multidrug-resistant virus arising during prolonged therapy with indinavir contained the substitutions M46I, L63P, V82T and I84V in the PR-coding region [12, 50]. Crystallographic studies of the mutant enzyme revealed that the substitutions at codons 82 and 84 were critical for the acquisition of resistance, while the amino acid changes at codons 46 and 63, which are away from the inhibitor binding site, appear as compensatory mutations [51, 52] [Fig. (1)]. In a similar way, saquinavir resistance implies the acquisition of substitutions G48V and L90M [46], where G48V exerts the major influence on resistance, and L90M, which is located away from the substrate/inhibitor binding site, contributes to the stability of the HIV PR. The analyses of viral fitness of clones containing PR inhibitor resistance mutations are broadly consistent with the hypothesis suggesting that the acquisition of resistance implies a significant cost in terms of viral replicative capacity (Table 1). Primary mutations D30N, G48V and V82T, that arise after treatment with nelfinavir, saquinavir or ritonavir, respectively, have been shown to produce a severe impact on viral fitness [12, 30, 32, 35, 37, 41]. In all cases, these substitutions affect residues that are important to stabilize the substrate in its binding pocket. Accumulation of two or more mutations in addition to the one producing the largest decrease in viral fitness produce a significant recovery of the viral replication capacity or infectivity (i.e. L10I/G48V/ L90M, M46I/G48V/L63P/L90M). High-level resistance to PR inhibitors results from the stepwise accumulation of amino acid substitutions in the PR. The evolutionary pathways leading to increased levels of resistance are largely dependent on viral fitness [21, 45]. The selective advantage conferred by resistance mutations may depend upon several parameters: the impact of the mutation on virus infectivity in the absence or in the presence of the inhibitor, the nature of the antiretroviral drug, and its local concentration. Fitness profiles determined by measuring the infectivity of a mutant virus relative to the wild-type in the presence of different concentrations of PR inhibitors were consistent with patterns of selection of drug resistant mutants [21]. For example, in the case of ritonavir, at a low drug concentration (0.025 µM), single mutations (M36I, M46I, I54V, A71V or V82A) do not confer a replicative advantage over the wildtype, while a double or a triple mutant (A71V/V82A or I54V/A71V/V82A) confers a small replicative advantage. At higher concentrations (i.e. 0.625 µM), the double mutant has no replicative advantage relative to the wild-type virus, but I54V/A71V/V82A shows higher infectivity. In these conditions, the highest fitness was displayed by the quadruple mutant M46I/I54V/A71V/V82A. Interestingly, this mutant shows similar infectivity to the wild-type virus in the absence of inhibitor, thereby indicating that in some cases, high-level resistance can be achieved without a significant loss of fitness. 358 Current Drug Targets – Infectious Disorders 2003, Vol. 3, No. 4 Table 1: Menéndez-Arias et al. Effects of PR Inhibitor-resistance Mutations on Viral Fitness. Amino acid substitutions Viral growth kinetics Single-cycle infection assays Growth competition experiments References c R8K ++++ n.d. n.d. [9] R8Q + n.d. n.d. [9] L10I n.d. ++++ n.d. [21] L10F ++++ n.d. +++ [13, 33] D30N ++ ++++ + [12, 34, 35] V32I n.d. n.d. +++ [36] M36I n.d. ++++ n.d. [21] M46I ++++ ++++ ++++ [9, 21, 37] G48V + ++ n.d. [32] I50V n.d. + n.d. [38] I54V n.d. ++++ n.d. [21] L63P ++++ n.d. ++++ [10, 37] A71V ++++ ++++ n.d. [10, 21] V82A ++++ ++++ n.d. [21, 32, 39, 40] V82F ++++ n.d. n.d. [10] V82T n.d. n.d. ++ [37, 41] I84V ++++ n.d. +++ [10, 36, 41, 42] N88D +++ ++++ n.d. [33, 35] N88S +++ ++ + [33, 40, 43] L90M ++++ ++++ +++ [12, 21, 34, 35] ++++ +++ n.d. [38, 44] p1/p6(P5') n.d. ++++ n.d. [38] p1/p6(P1') + p7/p1b +++ n.d. n.d. [44] I50V + p1/p6(P1') n.d. + n.d. [38] I50V + p1/p6(P5') n.d. + n.d. [38] I50V + p1/p6(P1') + p1/p6(P5') n.d. + n.d. [38] R8Q/M46I ++++ n.d. n.d. [9] L10F/I84V +++ n.d. ++ [13] L10F/N88S +++ n.d. n.d. [33] L10I/G48V n.d. +++ n.d. [21] L10I/L90M n.d. ++++ n.d. [21] D30N/L63P +++ n.d. ++ [12] D30N/N88D +++ n.d. n.d. [34] D30N/L90M + + n.d. [34, 35] p1/p6(P1')b b Viral Fitness and Antiretroviral Drug Resistance Current Drug Targets – Infectious Disorder 2003, Vol. 3, No. 4 359 Table 1. Contd…. Amino acid substitutions Viral growth kinetics Single-cycle infection assays Growth competition experiments References c V32I/A71V ++++ n.d. n.d. [36] M36I/I54V n.d. n.d. ++ [41] M46I/I50V n.d. + n.d. [38] M46I/V82A n.d. ++++ n.d. [21] M46L/V82A +++ n.d. n.d. [39, 45] G48V/V82A n.d. + n.d. [21] G48V/L90M + + n.d. [21, 46] I54V/V82A n.d. ++ n.d. [21] V62I/V77I n.d. n.d. ++++ [41] L63P/L90M ++++ n.d. ++++ [12] A71V/V82A n.d. ++++ n.d. [21] V82A/L90M n.d. + n.d. [21] V82A/L97V ++++ n.d. n.d. [39] V82F/I84V ++ n.d. n.d. [10, 39] L10F/I84V + p1/p6(P1’) ++ n.d. ++ [13] M46I/I50V + p1/p6(P1’) n.d. ++ n.d. [38] M46I/I50V + p1/p6(P5’) n.d. + n.d. [38] M46I/I50V + p1/p6(P1’) + p1/p6(P5’) n.d. ++ n.d. [38] M46L/V82A + p7/p1 +++ n.d. n.d. [45] R8Q/M46I/A71T + n.d. n.d. [47] L10F/M46I/I50V n.d. n.d. ++ [13] L10I/G48V/V82A n.d. +++ n.d. [21] L10I/G48V/L90M n.d. +++ n.d. [21] L10I/V82A/L90M n.d. +++ n.d. [21] D30N/N88D/L90M + +++ n.d. [34, 35] M36I/I50V/L63P + n.d. n.d. [48] M36I/I54V/V82T n.d. n.d. ++ [41] M46I/I54V/V82A n.d. ++ n.d. [21] M46L/V82A/L97V ++++ n.d. n.d. [39] G48V/A71V/V82A ++ n.d. n.d. [47] G48V/V82A/L90M + n.d. n.d. [47] I54V/A71V/V82A n.d. ++++ n.d. [21] L63P/V77I/N88S ++++ +++ +++ [43] L63P/V82F/I84V +++ n.d. n.d. [10] 360 Current Drug Targets – Infectious Disorders 2003, Vol. 3, No. 4 Menéndez-Arias et al. Table 1. Contd…. Amino acid substitutions Viral growth kinetics Single-cycle infection assays Growth competition experiments References c L10F/M46I/I50V + p1/p6(P1’) + n.d. + [13] M36I/I50V/L63P + p1/p6(P1’) +++ n.d. n.d. [48] M46L/I54V/V82A + p7/p1 ++ n.d. n.d. [45] M46L/I54V/V82A + p1/p6(P1’) + p7/p1 ++++ n.d. n.d. [45] L10F/M46I/I47V/I50V n.d. n.d. + [13] K20R/M36I/I54V/V82A +++ n.d. n.d. [49] K20R/M36I/L63P/V82S +++ n.d. n.d. [49] V32I/M46I/A71V/I84A ++ n.d. n.d. [44] M36I/I54V/A71V/V82T n.d. n.d. ++++ [41] M46I/G48V/L63P/L90M +++ n.d. n.d. [49] M46I/I54V/A71V/V82A n.d. ++++ n.d. [21] M46I/L63P/V82T/I84V ++++ n.d. ++++ [12] M46L/L63P/V77I/N88S +++ +++ ++ [43] G48V/A71T/V82A/L90M + n.d. n.d. [47] L10I/L23I/M46I/I84V + p1/p6(P1’) +++ n.d. +++ [36] V32I/M46I/A71V/I84A + p1/p6(P1’) +++ n.d. n.d. [36, 44] V32I/M46I/A71V/I84V + p1/p6(P1’) +++ n.d. n.d. [44] L10R/M46I/L63P/V82T/I84V ++++ n.d. ++++ [12] K20R/M36I/I54V/A71V/V82T n.d. n.d. ++++ [41] I54V/L63P/A71T/I72E/V82A/I85V ++ n.d. n.d. [48] I54V/L63P/A71T/I72E/V82A/I85V + p7/p1 ++++ n.d. n.d. [48] L23I/V32I/M46I/I47V/I54M/A71V/I84V ++ n.d. n.d. [44] L23I/V32I/M46I/I47V/I54M/A71V/I84V + p1/p6(P1’) + p7/p1 +++ n.d. +++ [36, 44] L10I/K20R/M36I/M46I/F53L/L63P/A71V/V82A +++ n.d. n.d. [49] a Reported data were obtained using HIV-1 strains NL4-3 [9, 10, 12, 13, 21, 36 – 38, 43 – 45, 47, 49], HXB2 [32 – 35, 40, 41, 48], RF [39, 42] and GB8 [46] as reference virus. Mutations were obtained by passaging the virus in cell culture [9, 39, 42], through site-directed mutagenesis [10, 12, 21, 32 – 38, 40, 43, 44, 46], or by recombination using protease sequences derived from clinical isolates [13, 41, 44, 45, 47 – 49]. Viral replication, or growth competition experiments were carried out with different cell types: MT-2 [12, 13, 32, 33, 37, 39, 42, 44, 45], MT-4 [9, 10, 38, 40, 47 – 49], H9 [43], CEM [43, 46], C8166 [36, 44], HUT [49], or PBMCs [12, 34, 36, 41]. 293 cultures, and HeLa-CD4+ and P4 cells were used in infectivity assays [21, 35, 43]. Symbols are: ++++, fitness similar or slightly higher than the wild-type virus; +++ and ++, lower than the wild-type virus; +, very low fitness compared with the wild-type HIV; and n.d., not determined. b p1/p6(P1’) indicates a Leu to Phe amino acid substitution at the P1’ position of the Gag cleavage site between p1 and p6 (RPGNF/FQSRP instead of RPGNF/LQSRP), p1/p6(P5’) indicates the presence of Leu instead of Pro at the P5’ position of the Gag cleavage site between p1 and p6 (RPGNF/LQSRL instead of RPGNF/LQSRP), and p7/p1 represents the replacement of the wild-type sequence -Gln-Ala- by -Arg-Val-, at positions P3 and P2 of the Gag cleavage site between p7(NC) and p1 (ERRVN/FLGKI instead of ERQAN/FLGKI). c References 9, 10, 12, 13, 21, 32, 35, 37, 38, 41, 42, 44, 45, 46, 47 and 48 are also cited in the text. PR Inhibitor-resistance Mutations and their Impact on Viral Fitness In Vivo Viral replication kinetics, single-cycle infectivity assays and/or growth competition experiments have consistently shown that mutations D30N, G48V and V82T have a deleterious effect on viral fitness. These data were also consistent with experiments using a library of HIV-1 mutants containing random combinations of amino acid substitutions in the PR coding region, that conferred resistance to ritonavir and other PR inhibitors [53]. Authors Viral Fitness and Antiretroviral Drug Resistance Current Drug Targets – Infectious Disorder 2003, Vol. 3, No. 4 361 Fig. (1). Structural location of PR residues involved in drug resistance. Crystallographic structure of HIV-1 PR complexed with an inhibitor, showing the location of amino acid residues involved in primary (A) or secondary (B) resistance mutations. (C) shows the HIV-1 Gag and Gag-Pol precursor processing sites, indicating the sequence around the cleavage sites p7(NC)/p1 and p1/p6. Underlined residues are involved in mutations appearing during the antiretroviral treatment. Viral protein abbreviations are: MA, matrix protein; CA, capsid protein; NC, nucleocapsid protein; PR, protease; RT, reverse transcriptase; IN, integrase. analyzed the stability of mutations in viral populations selected with ritonavir. L10I, M36I, I54V, L63P, A71V, V82A and I84V were maintained in the population, indicating that they did not impair virus replication. However, D30N, N88D, V82T and L90M showed lower fitness in the absence of specific PR inhibitors [53]. The fitness in vivo conferred by the amino acid substitution V82A, which appeared during treatment with ritonavir, was estimated to be 96 – 98 % of the wild type virus, as obtained from a quantitative analysis of the replacement of the mutant population with the wild-type virus in the absence of drugs [30]. In this case, acquisition of additional mutations at codons 54, 63 and 84 was associated with increases in plasma RNA levels, indicating a compensatory effect on viral fitness. In another study involving eleven patients, the effects on fitness were determined for various mutations after therapy was stopped [54]. The results of these analyses revealed a substantial reduction of viral fitness associated with primary mutations D30N (12.4 % loss), M46I/L (21 % loss) and V82A (21 % loss). Other mutations such as I54V, G73S, I84V and N88D were associated with moderate reductions of fitness (ranging from 8 to 12 %), while L10I/V, K20R, M36I, L63P, A71V/T, V77I and L90M had little effect on viral fitness and persisted in most patients after therapy was stopped. Several mutations detected at virological failure after second or third line antiretroviral therapy have been shown to revert to wild-type, when PR inhibitors were withdrawn, suggesting a negative influence on viral fitness. Examples are D30N [55], M46I/L [56], or V82A/F/S/T [56, 57]. Despite these findings, mutations that affect fitness (i.e. V82A, N88D or L90M) may persist for months in some patients, after the discontinuation of treatment [56, 58]. It should be noted that the viral genetic background and accompanying mutations found in clinical isolates may differ from patient to patient and could have an influence on the selective advantage of each particular amino acid substitution. Molecular Mechanisms Leading to Fitness Recovery During PR Inhibitor Treatments In addition to compensatory mutations within the PRcoding region (Table 1; [10, 30, 41, 47]), there are genetic alterations that affect other loci within the viral genome that also contribute to improve the HIV replication capacity and fitness [Fig. (1)]. During HIV maturation, the viral PR hydrolyzes a series of peptide bonds within the precursor polyproteins Gag and Gag-Pol, rendering the structural proteins of the mature capsid, plus the viral enzymes PR, RT and integrase. Compensatory mutations within the PR-coding region increase the catalytic efficiency of the enzyme. However, an alternative mechanism to improve viral maturation involves amino acid substitutions at the polyprotein cleavage sites, making them better substrates for the altered viral PR. This was observed with virus selected after culture in the presence of palinavir derivatives [44], and in viral isolates from patients treated with indinavir [45] or amprenavir [38]. These mutations appear at the cleavage sites that flank the p1 spacer peptide [p7(NC)/p1 and p1/p6]. Cleavage at these sites is the rate limiting steps for polyprotein processing and viral maturation [44, 48]. Enzymatic studies reveal that resistance mutations at the p7(NC)/p1 and p1/p6 cleavage sites improve the catalytic efficiency of mutant PRs carrying the drug resistance mutations M46L, V82S, V82A, I84V or 362 Current Drug Targets – Infectious Disorders 2003, Vol. 3, No. 4 L90M, an effect that is not always observed with the wildtype PR [59]. This observation explains why cleavage site mutations appear late during development of high-level resistance. A number of examples shown in Table 1 reveal the beneficial effect of mutations at p1/p6 or p7(NC)/p1 on the viral fitness of PRs carrying two or more mutations conferring antiretroviral drug resistance. Mutations at other Gag cleavage sites (i.e. MA/CA and CA/p2) could also enhance the rate of cleavage by the viral PR [60], although these sites are less prone to change. Nevertheless, an amino acid substitution at the CA/p2 cleavage site (ARVL/AEAM to ARIL/AEAM) has been found in a nelfinavir-resistant variant selected in vitro under subinhibitory concentrations of the drug [61]. A third mechanism to improve viral maturation efficiency involves mutations that produce an increased level of GagPol frameshifting. Frameshifting is a translational event that occurs at a low efficiency (approximately 5 %) during Gag synthesis. It is facilitated by specific sequence and structure motifs in the viral RNA, which are found near the end of the Gag open reading frame. Mutations of the frameshift signal have been found in PR inhibitor-resistant variants. Thus, Doyon et al. [62] have shown that the substitution of Leu by Phe at the P1’ position of the p1/p6 cleavage site, which improves fitness of palinavir-resistant viruses, originates from a C-to-T transition of the first base of the leucine codon. This substitution also affects the viral RNA frameshift signal, leading to a 3- to 11-fold increase in the expression of pol [62]. Recently reported data suggest that mutations at noncleavage sites in the Gag polyprotein may also recover the reduced replicative fitness of HIV-1 containing resistance mutations in the PR-coding region. Highly-resistant HIV-1 variants selected against amprenavir, and other PR inhibitors, were found to contain additional mutations in the matrix protein (MA) (L75R, within the sequence context …GSEELRSLY…), the capsid protein (CA) cyclophillin binding loop (H219Q, in the sequence context …HPVHAGPI…), the nucleocapsid protein (NC) (V390D or V390A and R409K, within the sequence …RKTVKCF… RAP R KKG…) and at p6 (E468K, within …FGEETT…). These mutations were indispensable for HIV-1 replication in the presence of PR inhibitors. Although the molecular basis of resistance mediated by these substitutions is unknown, it is suggested that the identified Gag mutations should render the polyprotein cleavage sites more accessible to the PR, thereby improving the efficiency of the maturation process [63]. Further evidence on the influence of non-cleavage sites in Gag has been obtained from viral isolates harboring a nelfinavir-resistant PR containing mutations L10I/M36I/ G48V/I54V/I62V/I72V/T74S/V82A, which acquired three additional amino acid substitutions in the PR (E35D, N37S and K43T), a single amino acid change in the CA/p2 cleavage site (ARVL/AEAM to ARIL/AEAM), and 7 substitutions in the MA protein (E55Q, G62R, V82I, S109N, Q117E, N129D, and D130N), during antiretroviral treatment. When tested in vitro, this variant showed increased replication capacity in the presence of nelfinavir [61]. Menéndez-Arias et al. FITNESS AND DEVELOPMENT OF RESISTANCE TO RT INHIBITORS It is widely accepted that amino acid changes conferring resistance to RT inhibitors do not reduce fitness to the same extent as PR inhibitor-resistance mutations. This may be due to several reasons: (i) the RT could be more flexible than the PR in absorbing resistance mutations, (ii) mutations conferring resistance to RT inhibitors are often relatively distant from the dNTP binding site (as occurs with nonnucleoside inhibitors, or zidovudine and stavudine), and (iii) the degree of cross-resistance among RT inhibitorspecific mutations is significantly lower than the one observed with PR inhibitor-specific mutations. In contrast to PR inhibitors, evolutionary pathways leading to resistance to RT inhibitors can be rather different depending on the drug. Impact of Mutations Conferring Resistance to Nonnucleoside RT Inhibitors Nonnucleoside RT inhibitors in clinical use include nevirapine, delavirdine and efavirenz. These drugs bind to a hydrophobic cavity located 8 –10 Å away from the polymerase active site [Fig. (2)]. Mutations in the binding pocket are rapidly selected during nonnucleoside RT inhibitor-therapy. Available data indicate that the drugresistance mutations L100I [42], K103N [65 – 68], V179D [69], Y181C [57, 67, 68, 70], Y181I [67], Y188C [67], Y188H [67], and Y188L [67] have a relatively small effect on viral fitness, despite having a large influence on resistance. In contrast, other mutations confer reduced replication capacity. Examples are V106A [69, 70], P225H [67], M230L [67], P236L [65, 67, 71], and several mutants at codons 138 [72] and 190 [24, 70, 73]. Fig. (2). Nonnucleoside RT inhibitors binding site, showing the location of relevant residues involved in drug resistance, whose effects on viral fitness have been determined experimentally. The crystallographic structure used was taken from ref. [64] and shows the HIV-1 RT complexed with delavirdine. Viral Fitness and Antiretroviral Drug Resistance Replication defects produced by mutations V106A, G190E and P236L are likely to result from impaired RNase H activity [65, 69, 74]. Mutations at position 138 may affect RT stability, since this residue contributes to electrostatic interactions between the RT subunits p66 and p51. The fitness ranking for these mutants is: E138D > E138G > E138K > E138A > E138Q = E138Y > E138F [72]. Introducing large hydrophobic residues at this position produced a large diminishing effect on viral fitness. Another residue that could influence RT stability is Gly-190. Several mutations affecting this position confer reduced susceptibility to nevirapine and efavirenz (i.e. G190A, G190C, G190Q, G190S, G190V, G190E, or G190T). The replication capacity of five of them (G190C, G190Q, G190V, G190E, and G190T) was severely impaired and correlated with reduced virion-associated RT activity and incomplete PR processing of the viral Gag polyprotein [24]. However, recombinant patient-derived viruses harboring the substitutions G190V or G190E displayed higher or similar replication capacity than the wild-type virus. Viral fitness recovery shown by these viruses was attributed to the presence of Val instead of Leu-74, which probably increases protein stability [24]. The background RT sequence could also explain why clinical isolates containing the P236L mutation display a similar replication capacity than the wildtype virus, even though a compensatory mutation has yet to be identified [71]. Impact of Mutations Conferring Resistance to Nucleoside RT Inhibitors In contrast to nonnucleoside RT inhibitors, high-level resistance to zidovudine is achieved through the acquisition of several mutations including M41L, D67N, K70R, L210W, T215F/Y and K219Q/E [Fig. (3)]. Different levels of resistance are observed depending on the particular combination of resistance-related mutations found in one viral clone. The first substitution arising during zidovudine treatment is usually K70R, followed by T215Y. The K70R mutation appears frequently, since it requires only one nucleotide change, and does not have a major impact on viral Current Drug Targets – Infectious Disorder 2003, Vol. 3, No. 4 363 fitness [75]. However, its effect on viral resistance is relatively small [76]. Fitness determinations based on growth competition experiments carried out in MT-2 or MT4 cells, revealed the following ranking on the effect of zidovudine resistance mutations: Wild-type > K70R (97 %) > T215Y (85 %) = M41L/T215Y (85 %) > M41L (80 %) >> L210W (21 %) [14, 15, 75]. This fitness ranking indicates that L210W has a strong deleterious effect on viral fitness. However, M41L and T215Y show rather similar fitness, as well as the double mutant M41L/T215Y. Unlike M41L/T215Y and K70R/T215Y, the replication capacity of the double mutant M41L/K70R in SupT1 cells was very poor [77]. These observations are consistent with the sequential appearance of mutations in zidovudine-treated patients [78]. Both mutations M41L and K70R are rarely found together in the same viral clone, although in the presence of other amino acid substitutions (i.e. S163N), viral replication capacity is restored [77]. The substitution of Tyr-215 by Cys, Asp or Ser has been observed in vivo in the absence of zidovudine [28, 79]. Growth competition experiments carried out in MT-2 cells show that both T215S and T215D display a small but significant advantage over the wild-type virus in the absence of inhibitor [20]. In another study, competition experiments showed that virus harboring mutations T215C or T215D were outgrown by variants carrying the substitution T215S [80]. However, the replicative advantage conferred by mutation T215S was lost in the presence of zidovudine-resistance mutations such as M41L or L210W [80]. These results were consistent with the observed switching to T215C and T215D found in untreated individuals that were infected with T215F/Y-containing variants [79]. These findings are important with regard to transmission of zidovudine-resistant strains. Zidovudine-susceptible strains containing Cys, or Asp at position 215 are as fit as the wild-type virus in the absence of drug, but retain the potential for rapid emergence of high-level zidovudine resistance, since just a single nucleotide substitution at codon 215 is sufficient to render a resistant isolate (for further discussion, see [81]). Fig. (3). Evolution of zidovudine resistance. Accumulation of resistance mutations during the antiretroviral treatment implies increasing phenotypic drug resistance (the fold-increase of the IC50 for the inhibitor is shown between parenthesis). Highly-resistant viruses contain 4 or more drug-resistance mutations. 364 Current Drug Targets – Infectious Disorders 2003, Vol. 3, No. 4 A number of mutations related to resistance to nucleoside analogues will decrease viral fitness. The most extensively studied are M184V and M184I that confer high-level resistance to lamivudine. Mutant viruses carrying any of those mutations showed impaired replication in phytohemagglutinin-stimulated PBMCs [82-84]. This effect was also observed with virus having different sequence contexts, as for example, in the presence of mutations V75I/F77L/F116Y/ Q151M [85]. The low replication efficiency of M184V- and M184Icontaining isolates is attributed to their diminishing effect on RT processivity [82], which was accentuated in PBMCs due to the low dNTP intracellular pools found in those cells [83]. When introduced in a wild-type HIV-1 RT, the mutation M184I had a larger diminishing effect on processivity than M184V, in agreement with the results of growth competition experiments carried out with mutant viruses [86, 87]. Furthermore, estimates obtained from population dynamics in vivo revealed that in the presence of lamivudine, virus having the mutation M184V showed only 10 % of the fitness value calculated for wild-type virus in the absence of drug, but only in individuals with high CD4+ cell counts [29, 54, 57, 88]. This fitness reduction could be smaller (less than 50%) depending on the viral genetic background [89]. M184V was around 23 % more fit than M184I during treatment [29]. In contrast to thymidine analogue-related mutations, M184V reverts to wild-type when lamivudine is eliminated from second or third line antiretroviral regimens [56], although reversion may be accelerated by zidovudine pressure [90]. Otherwise, the low fitness conferred by M184V impairs the potential for compensatory mutations and reversion in HIV-1 [91, 92]. Other nucleoside analogue resistance mutations (i.e. the didanosine-resistance mutation L74V, the tenofovirresistance mutation K65R, or the adefovir-resistance Menéndez-Arias et al. mutation K70E) also have a significant impact on viral fitness, which correlates with an RT processivity defect [15, 93 – 95]. The presence of K65R together with M184V or L74V has a strong deleterious effect on viral fitness, due to the low processivity of the double mutant K65R/M184V [94], or to a poor ability of K65R/L74V to use natural nucleotides relative to wild-type RT [96]. These observations are consistent with the low prevalence of the K65R mutation among isolates from antiretroviral-drug experience patients, and give rational support to the benefit in combining mutations that impair virus replication. DEVELOPMENT OF RESISTANCE TO MULTIPLE NUCLEOSIDE ANALOGUES Resistance to multiple nucleoside inhibitors of RT has been associated with an amino acid substitution at the nucleoside binding site of the enzyme (i.e. Q151M) and with insertions or deletions around positions 67-70 of the RT. The acquisition of resistance through the Q151M pathway was first observed in virus isolated from patients receiving zidovudine and didanosine [97]. In this situation, the first amino acid change that appears in the population is Q151M [Fig. (4)]. Viral clones harboring this amino acid substitution display moderate resistance to zidovudine and zalcitabine, and low resistance to other nucleoside analogues [97, 98]. However, further acquisition of additional mutations, such as A62V, V75I, F77L, or F116Y lead to the appearance of highly-resistant virus. Fitness assays involving the determination of replication kinetics or growth competition experiments show that the mutations at codons 62, 75, 77 and 116 improve the replication capacity of the resistant virus [11, 16]. Emergence of Q151M requires two nucleotide changes (from CAG to AUG). Therefore, the first step in the evolutionary pathway towards multidrug resistance would be either the substitution Fig. (4). Evolution towards high-level resistance to multiple nucleoside inhibitors through the Q151M pathway. The order of accumulation of mutations is shown on the left, indicating between parenthesis the fold-increase of the IC50 for zidovudine (AZT), didanosine (DDI) and zalcitabine (DDC) [11]. The structural location of the amino acids involved in this resistance pathway relative to the dNTP binding site of HIV-1 RT is shown on the right. Viral Fitness and Antiretroviral Drug Resistance Current Drug Targets – Infectious Disorder 2003, Vol. 3, No. 4 365 Q151K (CAG to AAG) or Q151L (CAG to CUG). Viral clones having any of these mutations were lethal for viral replication [16]. However, in the presence of compensatory mutations (i.e. S68G, or M230I), mutant viruses having the Q151L mutation in the RT retained significant replicative capacity [99, 100]. Both S68G or M230I could facilitate the emergence of multidrug-resistance through the Q151M pathway. in replication kinetics experiments [107]. In the presence of enfuvirtide, the fitness ranking determined using growth competition experiments was SIM > DIM > DTV > wildtype [108]. These effects can be modulated by modifications in gp120, since mutations in its V3 loop can impact coreceptor binding constants and interactions between gp120 and gp41; exerting a significant influence on the viral sensitivity to enfuvirtide [109]. Another group of multidrug-resistant viruses are those having an insertion between codons 69 and 70 of its RT. Viruses with a dipeptide insertion (usually Ser-Ser, Ser-Gly or Ser-Ala) and additional mutations such as M41L, A62V, K70R, M184V, T215Y and others, display high-level resistance to zidovudine and other nucleoside analogues [101]. Dual infection/competition experiments revealed that in the presence of low concentrations of zidovudine, removal of the two serine residues in the multidrug resistant isolate does not cause a detrimental effect on the replication capacity of the virus [102]. Furthermore, in the absence of drug, RT insertions improve the fitness of viruses carrying a number of accompanying mutations associated with resistance to multiple nucleoside analogues (i.e. M41L, L210W, T215Y, etc.). This observation is consistent with the strong association found between the dipeptide insertion and T215F/ Y, which appear together in >95% of isolates having a dipeptide insertion in the RT [101]. Viral isolates harboring the dipeptide insertion were replaced by wild-type variants following cessation of therapy, indicating a competitive advantage of the wild-type over the insertion mutant in the absence of selective drug pressure [103, 104]. However, these multidrug-resistant mutants were able to maintain high viral loads in the presence of antiretroviral therapy. HIV-1 requires chemokine receptors such as CCR5 or CXCR4 as entry cofactors in combination with CD4 to infect lymphocytes, macrophages and other cell types. HIV-1 strains with a syncytium-inducing phenotype that use CXCR4 as cofactor (X4 strains) have been associated with faster disease progression and AIDS. Sequence variation in env has a measurable impact on fitness. This is demonstrated by the good correlation found between fitness determinations obtained with wild-type HIV-1 isolates and those obtained with env recombinant viruses [110]. Resistance to entry inhibitors targeting coreceptors CCR5 or CXCR4 can be achieved through switching coreceptor use. Alternatively, alterations in the gp120 envelope glycoprotein can also confer resistance to the inhibitor. Both strategies are manifested with the CXCR4 antagonist, AMD3100. In all cases, fitness of the resistant viruses was reduced in comparison with the wild-type strain [111]. AMD3100resistant variants accumulate a relatively high number of mutations plus a 5-amino acid deletion, but its potential for fitness optimization has not been explored so far. The deletion of codon 67 has also been associated with multidrug-resistance, conferring up to 1,810-fold resistance to zidovudine in the presence of mutations T69G, K70R, L74I, K103N, T215F and K219Q. The emergence of the T69G mutation confers drug resistance at the expense of fitness [66]. The subsequent appearance of the deletion led to a virus with improved replication and high-level resistance to zidovudine [66, 105]. The deleterious effect on fitness produced by the substitution of Thr-69 is also documented in vivo. In the absence of antiretroviral therapy, mutations T69D and T69N produce a moderate loss of fitness (approx. 7.8 %) [54]. THE ACQUISITION OF RESISTANCE TO NOVEL ANTIRETROVIRAL DRUGS: PRELIMINARY FITNESS ASSESSMENTS The development of antiretroviral drugs targeting entry, integration or any other step in the virus life cycle constitutes an important challenge in HIV research. This year, enfuvirtide, a synthetic peptide which blocks viral infection by impairing virus-host cell membrane fusion, has obtained approval for clinical use. Resistance to enfuvirtide is mediated by amino acid substitutions at codons 36-38 of the envelope glycoprotein gp41. The sequences found in drug-sensitive viruses (DIV, SIV, GIV or GIM) are replaced by SIM, DIM or DTV in the drug-resistant clones [106]. As observed with RT and PR inhibitors, resistance mutations cause a fitness loss, which was estimated to be around 10 % Integrase inhibitors are also promising targets in antiretroviral therapy. Resistance to various diketoacids has been studied. Viruses displaying up to 70-fold resistance to derivatives of L-708,906 and L-731,988, and containing mutations S153Y and N155S in the integrase active site displayed good replication capacity [112]. In contrast, resistance to the novel compound S-1360 (which is acquired through mutations T66I, L74M and S230R in the integrasecoding region) is attained with a concomitant loss of fitness [113]. In any case, these assessments are all preliminary and further studies will be necessary to evaluate their impact on HIV fitness in vivo. VIRAL FITNESS OF ANTIRETROVIRAL DRUGRESISTANT MUTANTS: CLINICAL ASPECTS The selection of drug resistant HIV variants during antiretroviral therapy is the result of complex interactions involving both the influence of acquired mutations on drug susceptibility and their effect on viral fitness. From a clinical standpoint, assessing the HIV-1 replication capacity would be extremely useful if it could be used as an in vitro correlate of viral pathogenesis. However, there are currently many problems that hamper our understanding on how fitness and replication capacity of drug-resistant HIV-1 would influence disease progression and transmission. First, the influence of drug-resistant genotypes on viral fitness is not clear in many cases. For example, the pre-existence of secondary mutations in the PR-coding region is likely to have implications for HIV-1 fitness evolution [114, 115]. However, prediction of viral fitness based on PR or RT genotypes is not reliable. Second, as discussed earlier in this review, there are many different methods to estimate viral fitness ex vivo. 366 Current Drug Targets – Infectious Disorders 2003, Vol. 3, No. 4 Specifically, we should emphasize the observed differences between data obtained using recombinant viruses in contrast to clinical viral isolates. Fitness data originating from studies with resistant variants of laboratory HIV-1 strains may not be relevant to clinical resistance selection due to the influence of their specific genetic background. Although some reports have shown coincidence of results comparing different methodologies [13, 116], the association between viral pathogenesis and viral fitness is usually a hard task due to technical variations in the assays. Third, in vivo fitness of HIV-1 depends on the interaction with host factors and genetic background [117, 118], immune control [119 – 121], and target cell availability [29]. These host factors are not taken into account in ex vivo replication capacity experiments. Finally, antiretroviral drug concentrations are also important determinants of viral fitness [13, 21]. Impact of Viral Fitness on Disease Progression So far, the implications of viral fitness for the clinical management of HIV-1-infected patients have only been partially addressed. In a study designed to examine the impact of HIV-1 fitness on disease progression, the ex vivo replication capacity was measured in 12 samples from patients that were classified either as long-term nonprogressors or as progressors. The authors found an association between plasma HIV-1 RNA and replication capacity of viral isolates measured by dual competition/ heteroduplex tracking assays, using a series of HIV-1 strains as reference virus. The results showed that progressors had higher plasma viremia and viral isolates collected from these individuals showed higher replication capacities than those from long-term non-progressors [122]. Studies involving structured treatment interruptions show that in patients failing antiretroviral therapy, and infected with viruses having multiple drug resistance mutations, discontinuation of treatment produced significant increases of viral load as well as concomitant reductions in the number of CD4 cell counts. These changes were temporally associated with reemergence of a wild-type virus population displaying higher replication capacity [123]. These data suggest that reduced viral fitness is an important factor contributing to persistent partial suppression of viral replication during longterm virological failure. Conversely, in those patients that remain on long-term antiretroviral therapy despite incomplete suppression, plasma HIV RNA levels often remained stable or increased slowly, while phenotypic resistance increased and virus replicative capacity decreased slowly [124]. The emergence of primary genotypic mutations in the PR was temporally associated with increased phenotypic resistance and decreased replicative capacity, while the emergence of secondary mutations within the PR-coding region was associated with more gradual changes in both phenotypic resistance and replication capacity [124]. These data suggest that HIV-1 may be constrained in its ability to become both highly resistant and fit and that this may contribute to the continued partial suppression of plasma HIV-1 RNA levels that is observed in some patients infected with drug-resistant viruses. Menéndez-Arias et al. The relationship between impaired viral fitness, as measured by a replication capacity assay, and viral load reduction in response to a new therapeutic regimen is unknown. The impact of the replication capacity on viral load reduction may be difficult to assess in patients that display an undetectable viral load. Obviously, in the absence or with very low levels of viral replication, an impaired replication is difficult to detect. Therefore, evaluation of the correlation between replication capacity and viral load reduction is likely to be more informative in patients who receive a new regimen but show continued viral replication. In a recent study, replication capacity was measured with a single cycle recombinant virus assay in a study performed in 97 patients failing antiretroviral therapy. A replication capacity value lower than 35%, measured at the time of initiation of a new salvage regimen, was a significant predictor of reduced plasma viremia 6 months later for patients that did not achieve undetectable HIV-1 RNA levels [125]. Similarly, D30N, a nelfinavir resistance-associated mutation that induces a severe reduction in viral replication capacity [12] was a predictor of short term virologic response to salvage therapy [126, 127] The influence of viral fitness in patients with discordant responses to antiretroviral treatment has also been addressed in various studies. In a significant number of cases, anti-HIV therapy maintains persistent immunological benefits despite virological failure. In this regard, the viral replication capacity could be a marker of continued immunological benefit of the antiretroviral regimen when measured at the time of virological failure of an ongoing regimen [Fig. (5)]. Patients with lower viral replication capacity have significantly greater CD4 increases from nadir than those with less impaired viruses. This effect is independent of other common clinical markers including reduced phenotypic susceptibility [125]. Generally, greater reductions in relative replication capacity have been observed in viruses harboring PR inhibitor resistance mutations than in viruses containing RT inhibitor resistance mutations. This observation, and the fact that PR inhibitor-selected mutant viruses could replicate in PBMCs or lymphoid tissues but not in human thymus [26, 128, 129], prompted the hypothesis that PR inhibitorcontaining regimens could have a clinical benefit because PR-resistant viruses had reduced replication capacity. However, a recent pilot study designed to test such hypothesis, is producing controversial results. In this study involving patients infected with multidrug-resistant HIV, administration of either PR or RT inhibitors was discontinued. Interrupting RT inhibitor therapy was associated with increased viral load and decreased CD4 cell counts. In contrast, interrupting PR inhibitor therapy was associated with stable viremia, immunological benefit, prevented overgrowth of wild-type viruses and delayed viral evolution [130]. Although several mechanisms were proposed to explain this phenomenon, two seem more relevant. First, archived RT inhibitor-resistant and PR inhibitor-susceptible virus likely contained fewer RT inhibitor-associated mutations than more recent variants, making the archived virus relatively more susceptible to RT inhibitors. Second, viral evolution in presence of PR Viral Fitness and Antiretroviral Drug Resistance Current Drug Targets – Infectious Disorder 2003, Vol. 3, No. 4 367 Fig. (5). Schematic diagrams of the relationship between viral fitness and clinical parameters in HIV-infected individuals. (A) Infection with a wild-type HIV-1 strain, in the absence of antiretroviral therapy is followed by a gradual increase in viral load (plasma HIV-1 RNA) and subsequent decrease in CD4+ T-cell count. Viral fitness increases as the initial virus inoculum adapts to the new environment. (B) Antiretroviral treatment causes a decrease in viral load since the wild-type virus is not fit to replicate in the presence of drug. Therefore, both viral load and viral fitness decrease while CD4+ T-cell counts recover. Selection of drug-resistant HIV-1 variants would eventually lead to an increase in viral fitness and viral load, similar to that shown in panel A. (C) However, in some instances, in the presence of multidrug-resistant viruses with impaired viral fitness, maintaining antiretroviral therapy in patients with persistently detectable viral load may still have some immunological benefits for the patient. inhibitor therapy is associated with the accumulation of compensatory mutations that increase viral fitness. Back mutations may require significant structural alterations of the targeted proteins and may produce an early decrease in relative fitness; thereby preventing reversion [130]. In conclusion, available data suggest that a decreased replication capacity associated with PR inhibitor resistance will persist even in the absence of inhibitor. Impact of Viral Fitness on HIV-1 Transmission There is increasing evidence of transmission of resistant HIV strains in North America and Europe due to the difficulty of completely suppressing viral replication [131 – 135]. It is clear that replication capacity is an important determinant, not only of HIV-1 pathogenicity, but also of transmissibility. Therefore, it has been suggested that antiretroviral drug-resistant viruses with relatively good replication capacity rates would be more easily transmitted. However, it is estimated that the frequency of transmission of resistant strains is only about 20% of the expected value, probably due to the potentially reduced fitness of the drugresistant viruses [136]. Although HIV-1 transmission represents a selective evolutionary bottleneck, detection of drug-resistant variants in patients with acute primary infection implies that these viruses possess replication characteristics that allow them to become the dominant viral population in a drug-free environment [137]. The long-term virological and clinical implications of such phenomenon are of concern because the transmission of drug resistance to newly infected persons can result in treatment failure and clinical progression. There are many reports showing that antiretroviral resistant viruses have diminished replication capacity and should be outgrown by drug-sensitive wild-type viruses. Different studies that explored structured antiretroviral treatment interruptions in chronic infection have shown rapid reappearance of drug-sensitive viruses when therapy is withdrawn [123, 138, 139]. These observations led authors to propose that drug-resistant viruses acquired during primary infection would not persist over time in the absence of antiretroviral pressure. Thus, preliminary studies have evaluated the differential transmission of HIV-1 strains harboring mutations in RT in newly infected persons compared with prevalence in the potential transmitter population. Interestingly, the prevalence of the lamivudineresistance selected mutation M184V was only 3%, much lower than thymidine analogue associated mutations (6.7%) or non-nucleoside analogue associated mutations (7.4%) suggesting that reductions in viral fitness of M184Vcontaining HIV-1 strains may significantly impact on rates of viral transmission [140]. Estimates of HIV-1 replication capacity in newly infected individuals exhibited a broad spectrum, ranging from 1 to 113% of wild type control, when measured with the ViroLogic single-cycle recombinant virus assay. Although, low replication capacity was associated most strongly with PR inhibitor resistance, the wide variation is probably conferred by genetic interactions, and mutations not associated with drug resistance. Thus, impaired transmissibility of PR inhibitor resistant viruses could explain the relative scarcity of PR inhibitor resistance among recently infected persons [141]. In addition, CD4 T-cell 368 Current Drug Targets – Infectious Disorders 2003, Vol. 3, No. 4 counts were higher in those subjects infected with drugresistant viruses with lower replication capacity, especially if PR inhibitor resistance was evident [142]. Nevertheless, and despite their impaired replicative competence, transmitted multidrug-resistant viruses can establish persistent (up to 5 years) infections [88]. The durable persistence of transmitted drug-resistant virus is consistent with the establishment of widespread infection with a pure population of resistant clone(s), in contrast to the rapid reversion observed in vivo in chronically infected subjects who discontinue therapy after virological failure [143]. Reversion of resistance is gradual and usually incomplete, resulting in the persistence of mixtures of wild-type and resistant variants in plasma HIV RNA. This persistence of certain transmitted drug-resistant mutations (i.e. K103N) among subjects with primary HIV infection deferring antiretroviral therapy is consistent with the modest fitness effect of these amino acid changes as determined in assays carried out in vitro [143]. Recent data indicate that recombination of the PR and RT regions of drug-resistant viral isolates into an isogenic HIV-1NL4-3-based molecular backbone resulted in chimeras that displayed a significant reduction in replication capacity [137, 144]. Similarly, a recent study that used complete viral isolates has suggested that the total number of PR mutations, together with individual polymorphisms, could not be associated with viral fitness [114]. This could be explained assuming that drug-resistant HIV-1 isolates could bear adaptive mutations that allow replication recovery, and thereby overcome the potential defects associated with genetic changes necessary for drug resistance [45, 63, 137, 145, 146]. The consequence is that the viral fitness obtained from assays that use recombinant viruses might be systematically overestimated with respect to that obtained from complete viral isolates. Previously we have discussed that increased replicative capacity of an infecting HIV-1 isolate is associated with more rapid disease progression [122]. Paradoxically, because the probability of HIV-1 transmission may be related to survival time, the more fit viruses infecting rapid progressors may actually be spread less efficiently in the human population [147]. Menéndez-Arias et al. replication competence of drug-resistant mutants by affecting their ability to accommodate resistance mutations. Moreover, replication capacity assays are strictly virological methods that do not consider the influence of important host variables as the genetic background, the immune control or the target cell availability. ACKNOWLEDGEMENTS Work in the laboratory of L.M.-A. is supported by grants from Fondo de Investigación Sanitaria (FIS) 01/0067-01, FIPSE (36200/01 and 36207/01) and an institutional grant of Fundación Ramón Areces. Work in the laboratory of M.A.M. is supported by Fundació irsiCaixa and grants from FIS (01/0067-02), FIPSE (3014/99, 36293/02 and 36207/ 01) and Fundació Marató de TV3. Research performed at the Cleveland Clinic Foundation (M.E.Q-M) is supported by research grants from the National Heart, Lung, and Blood Institute, NIH (5-KO1-HL67610-03), and the Center for AIDS Research (AI36219) at Case Western Reserve University. Work in the laboratory of J.M.-P. is supported by grants from FIS (01/1122), FIPSE (36177/01) and Fundació Marató de TV3. J.M.-P is supported by contract FIS 99/3132 from the “Fundacio Institut d’Investigacio en Ciencies de la Salut Germans Trias i Pujol” in collaboration with the Spanish Health Department. Support from FIS through the “Red Temática Cooperativa de Investigación en SIDA (Red G03/173)” is also acknowledged. ABBREVIATIONS CA = Capsid protein HIV = Human immunodeficiency virus MA = Matrix protein NC = Nucleocapsid protein PBMC = Peripheral blood mononuclear cells PR = Protease RT = Reverse transcriptase REFERENCES [1] CONCLUSIONS All currently available antiretroviral drugs select for genotypic mutations that confer reduced phenotypic drug susceptibility [3, 148]. There is substantial in vitro and in vivo evidence that antiretroviral therapy selects for mutations that impair inherent ability of HIV to replicate [149 – 151]. Throughout this review, we have presented many examples documenting the effect of mutations on viral fitness, although most of them have been determined in vitro. Despite the significant advances in measuring fitness and understanding the role of drug resistance mutations, fitness data of drug-resistant viruses should be currently interpreted with caution in the context of viral pathogenesis, disease progression, transmissibility and clinical management. There are diverse experimental methods to assess HIV-1 replication capacity that might lead to controversial results. Genetic polymorphisms in and outside of genes that codify for the antiretroviral target proteins might also influence the [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] Menéndez-Arias, L. Prog. Nucl. Acid Res. Mol. Biol., 2002, 71, 91. Svaroskaia, E.S.; Cheslock, S.R.; Zhang, W.-H.; Hu, W.-S.; Pathak, V.K. Front. Biosci., 2003, 8, D117. Menéndez-Arias, L. Trends Pharmacol. Sci., 2002, 23, 381. Domingo, E.; Holland, J.J. Annu. Rev. Microbiol., 1997, 51, 151. Domingo, E.; Escarmís, C.; Menéndez-Arias, L.; Holland, J.J. In Origin and Evolution of Viruses; Domingo, E.; Webster, R.; Holland, J.J. Eds.; Academic Press: San Diego, California, USA, 1999, pp. 141. Gulnik, S.V.; Suvorov, L.I.; Liu, B.; Yu, B.; Anderson, B.; Mitsuya, H.; Erickson, J.W. Biochemistry, 1995, 34, 9282. Erickson, J.W.; Gulnik, S.V.; Markowitz, M. AIDS, 1999, 13 (suppl. A), S189. Quiñones-Mateu, M.E.; Arts, E.J. Drug Resistance Updates, 2002, 5, 224. Ho, D.D.; Toyoshima, T.; Mo, H.; Kempf, D.J.; Norbeck, D.; Chen, C.-M.; Wideburg, N.E.; Burt, S.K.; Erickson, J.W.; Singh, M.K. J. Virol., 1994, 68, 2016. Markowitz, M.; Mo, H.; Kempf, D.J.; Norbeck, D.W.; Bhat, T.N.; Erickson, J.W.; Ho, D.D. J. Virol., 1995, 69, 701. Maeda, Y.; Venzon, D.J.; Mitsuya, H. J. Infect. Dis., 1998, 177, 1207. Viral Fitness and Antiretroviral Drug Resistance [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] Martínez-Picado, J.; Savara, A.V.; Sutton, L.; D’Aquila, R.T. J. Virol., 1999, 73, 3744. Prado, J.G.; Wrin, T.; Beauchaine, J.; Ruiz, L.; Petropoulos, C.J.; Frost, S.D.W.; Clotet, B.; D’Aquila, R.T.; Martínez-Picado, J. AIDS, 2002, 16, 1009. Harrigan, P.R.; Kinghorn, I.; Bloor, S.; Kemp, S.D.; Nájera, I.; Kohli, A.; Larder, B.A. J. Virol., 1996, 70, 5930. Sharma, P.L.; Crumpacker, C.S. J. Virol., 1997, 71, 8846. Kosalaraksa, P.; Kavlick, M.F.; Maroun, V.; Le, R.; Mitsuya, H. J. Virol., 1999, 73, 5356. Goudsmit, J.; de Ronde, A.; Ho, D.D.; Perelson, A.S. J. Virol., 1996, 70, 5662. Crow, J.F.; Kimura, M. An introduction to population genetics theory, Harper & Row: New York, 1970. Marée, A.F.M.; Keulen, W.; Boucher, C.A.B.; De Boer, R.J. J. Virol. 2000, 74, 11067. De Ronde, A.; van Dooren, M.; van der Hoek, L.; Bouwhuis, D.; de Rooij, E.; van Gemen, B.; de Boer, R.; Goudsmit, J. J. Virol., 2001, 75, 595. Mammano, F.; Trouplin, V.; Zennou, V.; Clavel, F. J. Virol., 2000, 74, 8524. Bleiber, G.; Munoz, M.; Ciuffi, A.; Meylan, P.; Telenti, A. J. Virol., 2001, 75, 3291. Gamarnik, A.; Wrin, T.; Ziermann, R.; Huang, W.; Whitehurst, N.; Whitcomb, J.M.; Petropoulos, C.J.; The ViroLogic Clinical Reference Laboratory. Antivir. Ther., 2000, 5 (suppl. 3), 92. Huang, W.; Gamarnik, A.; Limoli, K.; Petropoulos, C.J.; Whitcomb, J.M. J. Virol., 2003, 77, 1512. Petropoulos, C.J.; Parkin, N.T.; Limoli, K.L.; Lie, Y.S.; Wrin, T.; Huang, W.; Tian, H.; Smith, D.; Winslow, G.A.; Capon, D.J.; Whitcomb, J.M. Antimicrob. Agents Chemother., 2000, 44, 920. Stoddart, C.A.; Liegler, T.J.; Mammano, F.; Linquist-Stepps, V.D.; Hayden, M.S.; Deeks, S.G.; Grant, R.M.; Clavel, F.; McCune, J.M. Nat. Med., 2001, 7, 712. Perelson, A.S.; Neumann, A.U.; Markowitz, M.; Leonard, J.M.; Ho, D.D. Science, 1996, 271, 1582. Goudsmit, J.; de Ronde, A.; de Rooij, E.; de Boer, R. J. Virol., 1997, 71, 4479. Frost, S.D.W.; Nijhuis, M.; Schuurman, R.; Boucher, C.A.B.; Leigh Brown, A.J. J. Virol., 2000, 74, 6262. Eastman, P.S.; Mittler, J.; Kelso, R.; Gee, C.; Boyer, E.; Kolberg, J.; Urdea, M.; Leonard, J.M.; Norbeck, D.W.; Mo, H.; Markowitz, M. J. Virol., 1998, 72, 5154. Wlodawer, A.; Vondrasek, J. Anuu. Rev. Biophys. Biomol. Struct., 1998, 27, 249. Potts, K.E.; Smidt, M.L.; Tucker, S.P.; Stiebel, T.R., Jr.; McDonald, J.J.; Stallings, W.C.; Bryant, M.L. Antivir. Chem. Chemother., 1997, 8, 447. Smidt, M.L.; Potts, K.E.; Tucker, S.P.; Blystone, L.; Stiebel, T.R., Jr.; Stallings, W.C.; McDonald, J.J.; Pillay, D.; Richman, D.D.; Bryant, M.L. Antimicrob. Agents Chemother., 1997, 41, 515. Sugiura, W.; Matsuda, Z.; Yokomaku, Y.; Hertogs, K.; Larder, B.; Nagai, Y. Antivir. Ther., 2000, 5 (suppl. 3), 33. Sugiura, W.; Matsuda, Z.; Yokomaku, Y.; Hertogs, K.; Larder, B.; Oishi, T.; Okano, A.; Shiino, T.; Tatsumi, M.; Matsuda, M.; Abumi, H.; Takata, N.; Shirahata, S.; Yamada, K.; Yoshikura, H.; Nagai, Y. Antimicrob. Agents Chemother., 2002, 46, 708. Croteau, G.; Doyon, L.; Thibeault, D.; McKercher, G.; Pilote, L.; Lamarre, D. J. Virol., 1997, 71, 1089. Martínez-Picado, J.; Savara, A.V.; Shi, L.; Sutton, L.; D’Aquila, R.T. Virology, 2000, 275, 318. Maguire, M.F.; Guinea, R.; Griffin, P.; Macmanus, S.; Elston, R.C.; Wolfram, J.; Richards, N.; Hanlon, M.H.; Porter, D.J.T.; Wrin, T.; Parkin, N.; Tisdale, M.; Furfine, E.; Petropoulos, C.; Snowden, B.W.; Kleim, J.-P. J. Virol., 2002, 76, 7398. King, R.W.; Garber, S.; Winslow, D.L.; Reid, C.; Bacheler, L.T.; Anton, E.; Otto, M.J. Antivir. Chem. Chemother., 1995, 6, 80. Tucker, S.P.; Stiebel, T.R., Jr.; Potts, K.E.; Smidt, M.L.; Bryant, M.L. Antimicrob. Agents Chemother., 1998, 42, 478. Nijhuis, M.; Schuurman, R.; de Jong, D.; Erickson, J.; Gustchina, E.; Albert, J.; Schipper, P.; Gulnik, S.; Boucher, C.A.B. AIDS, 1999, 13, 2349. Rayner, M.M.; Cordova, B.; Jackson, D.A. Virology, 1997, 236, 85. Current Drug Targets – Infectious Disorder 2003, Vol. 3, No. 4 369 [43] [44] [45] [46] [47] [48] [49] [50] [51] [52] [53] [54] [55] [56] [57] [58] [59] [60] [61] [62] [63] [64] [65] [66] [67] [68] [69] [70] [71] [72] [73] Resch, W.; Ziermann, R.; Parkin, N.; Gamarnik, A.; Swanstrom, R. J. Virol., 2002, 76, 8659. Doyon, L.; Croteau, G.; Thibeault, D.; Poulin, F.; Pilote, L.; Lamarre, D. J. Virol., 1996, 70, 3763. Zhang, Y.-M.; Imamichi, H.; Imamichi, T.; Lane, H.C.; Falloon, J.; Vasudevachari, M.B.; Salzman, N.P. J. Virol., 1997, 71, 6662. Jacobsen, H.; Yasargil, K.; Winslow, D.L.; Craig, J.C.; Kröhn, A.; Duncan, I.B.; Mous, J. Virology, 1995, 206, 527. Rose, R.E.; Gong, Y.-F.; Greytok, J.A.; Bechtold, C.M.; Terry, B.J.; Robinson, B.S.; Alam, M.; Colonno, R.J.; Lin, P.-F. Proc. Natl. Acad. Sci. U.S.A., 1996, 93, 1648. Robinson, L.H.; Myers, R.E.; Snowden, B.W.; Tisdale, M.; Blair, E.D. AIDS Res. Human Retrovir., 2000, 16, 1149. Zennou, V.; Mammano, F.; Paulous, S.; Mathez, D.; Clavel, F. J. Virol., 1998, 72, 3300. Condra, J.H.; Schleif, W.A.; Blahy, O.M.; Gabryelski, L.J.; Graham, D.J.; Quintero, J.C.; Rhodes, A.; Robbins, H.L.; Roth, E.; Shivaprakash, M.; Titus, D.; Yang, T.; Teppler, H.; Squires, K.E.; Deutsch, P.J.; Emini, E.A. Nature, 1995, 374, 569. Chen, Z.; Li, Y.; Schock, H.B.; Hall, D.; Chen, E.; Kuo, L.C. J. Biol. Chem., 1995, 270, 21433. Schock, H.B.; Garsky, V.M.; Kuo, L.C. J. Biol. Chem., 1996, 271, 31957. Yusa, K.; Song, W.; Bartelmann, M.; Harada, S. J. Virol., 2002, 76, 3031. Devereux, H.L.; Emery, V.C.; Johnson, M.A.; Loveday, C. J. Med. Virol., 2001, 65, 218. Kantor, R.; Fessel, W.J.; Zolopa, A.R.; Israelski, D.; Shulman, N.; Montoya, J.G.; Harbour, M.; Schapiro, J.M.; Shafer, R.W. Antimicrob. Agents Chemother., 2002, 46, 1086. Svedhem, V.; Lindkvist, A.; Lidman, K.; Sönnerborg, A. J. Med. Virol., 2002, 68, 473. Antinori, A.; Liuzzi, G.; Cingolani, A.; Bertoli, A.; Di Giambenedetto, S.; Trotta, M.P.; Rizzo, M.G.; Girardi, E.; De Luca, A.; Perno, C.F. AIDS, 2001, 15, 2325. Hance, A.J.; Lemiale, V.; Izopet, J.; Lecossier, D.; Joly, V.; Massip, P.; Mammano, F.; Descamps, D.; Brun-Vézinet, F.; Clavel, F. J. Virol. 2001, 75, 6410. Fehér, A.; Weber, I.T.; Bagossi, P.; Boross, P.; Mahalingam, B.; Louis, J.M.; Copeland, T.D.; Torshin, I.Y.; Harrison, R.W.; Tözsér, J. Eur. J. Biochem., 2002, 269, 4114. Pettit, S.C.; Henderson, G.J.; Schiffer, C.A.; Swanstrom, R. J. Virol., 2002, 76, 10226. Matsuoka-Aizawa, S.; Sato, H.; Hachiya, A.; Tsuchiya, K.; Takebe, Y.; Gatanaga, H.; Kimura, S.; Oka, S. J. Virol., 2003, 77, 318. Doyon, L.; Payant, C.; Brakier-Gingras, L.; Lamarre, D. J. Virol., 1998, 72, 6146. Gatanaga, H.; Suzuki, Y.; Tsang, H.; Yoshimura, K.; Kavlick, M.F.; Nagashima, K.; Gorelick, R.J.; Mardy, S.; Tang, C.; Summers, M.F.; Mitsuya, H. J. Biol. Chem., 2002, 277, 5952. Esnouf, R.M.; Ren, J.; Hopkins, A.L.; Ross, C.K.; Jones, E.Y.; Stammers, D.K.; Stuart, D.I. Proc. Natl. Acad. Sci. U.S.A., 1997, 94, 3984. Gerondelis, P.; Archer, R.H.; Palaniappan, C.; Reichman, R.C.; Fay, P.J.; Bambara, R.A.; Demeter, L.M. J. Virol., 1999, 73, 5803. Imamichi, T.; Berg, S.C.; Imamichi, H.; Lopez, J.C.; Metcalf, J.A.; Falloon, J.; Lane, H.C. J. Virol., 2000, 74, 10958. Huang, W.; Wrin, T.; Gamarnik, A.; Beauchaine, J.; Whitcomb, J.M.; Petropoulos, C.J. Antivir. Ther., 2002, 7, S60. Nicastri, E.; Sarmati, L.; d’Ettorre, G.; Palmisano, L.; Parisi, S.G.; Uccella, I.; Rianda, A.; Concia, E.; Vullo, V.; Vella, S.; Andreoni, M. J. Med. Virol., 2003, 69, 1. Archer, R.H.; Dykes, C.; Gerondelis, P.; Lloyd, A.; Fay, P.; Reichman, R.C.; Bambara, R.A.; Demeter, L.M. J. Virol., 2000, 74, 8390. Iglesias-Ussel, M.D.; Casado, C.; Yuste, E.; Olivares, I.; LópezGalíndez, C. J. Gen. Virol., 2002, 83, 93. Dykes, C.; Fox, K.; Lloyd, A.; Chiulli, M.; Morse, E.; Demeter, L.M. Virology, 2001, 285, 193. Pelemans, H.; Aertsen, A.; van Laethem, K.; Vandamme, A.-M.; de Clercq, E.; Pérez-Pérez, M.J.; San-Félix, A.; Velázquez, S.; Camarasa, M.-J.; Balzarini, J. Virology, 2001, 280, 97. Olmsted, R.A.; Slade, D.E.; Kopta, L.A.; Poppe, S.M.; Poel, T.J.; Newport, S.W.; Rank, K.B.; Biles, C.; Morge, R.A.; Dueweke, 370 Current Drug Targets – Infectious Disorders 2003, Vol. 3, No. 4 [74] [75] [76] [77] [78] [79] [80] [81] [82] [83] [84] [85] [86] [87] [88] [89] [90] [91] [92] [93] [94] [95] [96] [97] [98] [99] [100] [101] [102] [103] [104] [105] T.J.; Yagi, Y.; Romero, D.L.; Thomas, R.C.; Sharma, S.K.; Tarpley, W.G. J. Virol., 1996, 70, 3698. Fan, N.; Rank, K.B.; Slade, D.E.; Poppe, S.M.; Evans, D.B.; Kopta, L.A.; Olmsted, R.A.; Thomas, R.C.; Tarpley, W.G.; Sharma, S.K. Biochemistry, 1996, 35, 9737. Harrigan, P.R.; Bloor, S.; Larder, B.A. J. Virol., 1998, 72, 3773. Kellam, P.; Boucher, C.A.; Larder, B.A. Proc. Natl. Acad. Sci. U.S.A., 1992, 89, 1934. Jeeninga, R.E.; Keulen, W.; Boucher, C.; Sanders, R.W.; Berkhout, B. Virology, 2001, 283, 294. Larder, B.A. J. Gen. Virol., 1994, 75, 951. Yerly, S.; Rakik, A.; de Loes, S.K.; Hirschel, B.; Descamps, D.; Brun-Vézinet, F.; Perrin, L. J. Virol., 1998, 72, 3520. García-Lerma, J.G.; Nidtha, S.; Blumoff, K.; Weinstock, H.; Heneine, W. Proc. Natl. Acad. Sci. U.S.A., 2001, 98, 13907. Kuritzkes, D.R. Proc. Natl. Acad. Sci. U.S.A., 2001, 98, 13485. Back, N.K.T.; Nijhuis, M.; Keulen, W.; Boucher, C.A.B.; Oude Essink, B.B.; van Kuilenburg, A.B.P.; van Gennip, A.H.; Berkhout, B. EMBO J., 1996, 15, 4040. Keulen, W.; Back, N.K.T.; van Wijk, A.; Boucher, C.A.B.; Berkhout, B. J. Virol., 1997, 71, 3346. Miller, M.D.; Anton, K.E.; Mulato, A.S.; Lamy, P.D.; Cherrington, J.M. J. Infect. Dis., 1999, 179, 92. Shafer, R.W.; Winters, M.A.; Iversen, A.K.N.; Merigan, T.C. Antimicrob. Agents Chemother., 1996, 40, 2887. Yoshimura, K.; Feldman, R.; Kodama, E.; Kavlick, M.F.; Qiu, Y.L.; Zemlicka, J.; Mitsuya, H. Antimicrob. Agents Chemother., 1999, 43, 2479. Harrigan, P.R.; Stone, C.; Griffin, P.; Nájera, I.; Bloor, S.; Kemp, S.; Tisdale, M.; Larder, B.; The CNA2001 Investigative Group. J. Infect. Dis., 2000, 181, 912. Brenner, B.G.; Routy, J.-P.; Petrella, M.; Moisi, D.; Oliveira, M.; Detorio, M.; Spira, B.; Essabag, V.; Conway, B.; Lalonde, R.; Sekaly, R.-P.; Wainberg, M.A. J. Virol., 2002, 76, 1753. Martínez-Picado, J.; Morales-Lopetegui, K.; Wrin, T.; Prado, J.G.; Frost, S.D.; Petropoulos, C.J.; Clotet, B.; Ruiz, L. AIDS, 2002, 16, 895. Diallo, K.; Oliveira, M.; Moisi, D.; Brenner, B.; Wainberg, M.A.; Götte, M. Antimicrob. Agents Chemother., 2002, 46, 2254. Wei, X.; Liang, C.; Götte, M.; Wainberg, M.A. AIDS, 2002, 16, 2391. Whitney, J.B.; Oliveira, M.; Detorio, M.; Guan, Y.; Wainberg, M.A. J. Virol., 2002, 76, 8958. Sharma, P.L.; Crumpacker, C.S. J. Virol., 1999, 73, 8448. White, K.L.; Margot, N.A.; Wrin, T.; Petropoulos, C.J.; Miller, M.D.; Naeger, L.K. Antimicrob. Agents Chemother. 2002, 46, 3437. Miller, M.D.; Lamy, P.D.; Fuller, M.D.; Mulato, A.S.; Margot, N.A.; Cihlar, T.; Cherrington, J.M. Mol. Pharmacol., 1998, 54, 291. Deval, J.; Navarro, J.-M.; Selmi, B.; Courcambeck, J.; Boretto, J.; Halfon, P.; Sire, J.; Canard, B. Antivir. Ther., 2003, 8, S40. Shirasaka, T.; Kavlick, M.F.; Ueno, T.; Gao, W.-Y.; Kojima, E.; Alcaide, M.L.; Chokekijchai, S.; Roy, B.M.; Arnold, E.; Yarchoan, R.; Mitsuya, H. Proc. Natl. Acad. Sci. U.S.A., 1995, 92, 2398. Iversen, A.K.N.; Shafer, R.W.; Wehrly, K.; Winter, M.A.; Mullins, J.I., Chesebro, B.; Merigan, T.C. J. Virol., 1996, 70, 1086. García-Lerma, J.G.; Gerrish, P.J.; Wright, A.C.; Qari, S.H.; Heneine, W. J. Virol., 2000, 74, 9339. Matsumi, S.; Kosalaraksa, P.; Tsang, H.; Kavlick, M.F.; Harada, S.; Mitsuya, H. AIDS, 2003, 17, 1127. Mas, A.; Parera, M.; Briones, C.; Soriano, V.; Martínez, M.A.; Domingo, E.; Menéndez-Arias, L. EMBO J., 2000, 19, 5752. Quiñones-Mateu, M.E.; Tadele, M.; Parera, M.; Mas, A.; Weber, J.; Rangel, H.R.; Chakraborty, B.; Clotet, B.; Domingo, E.; Menéndez-Arias, L.; Martínez, M.A. J. Virol., 2002, 76, 10546. Briones, C.; Mas, A.; Gómez-Mariano, G.; Altisent, C.; Menéndez-Arias, L.; Soriano, V.; Domingo, E. Virus Res., 2000, 66, 13. Lukashov, V.V.; Huismans, R.; Jebbink, M.F.; Danner, S.A.; de Boer, R.J.; Goudsmit, J. AIDS Res. Human Retrovir., 2001, 17, 807. Imamichi, T.; Murphy, M.A.; Imamichi, H.; Lane, H.C. J. Virol., 2001, 75, 3988. Menéndez-Arias et al. [106] [107] [108] [109] [110] [111] [112] [113] [114] [115] [116] [117] [118] [119] [120] [121] [122] [123] [124] [125] [126] [127] [128] [129] [130] [131] [132] [133] Rimsky, L.T.; Shugars, D.C.; Matthews, T.J. J. Virol., 1998, 72, 986. Lu, J.; Kuritzkes, D.R. Antivir. Ther., 2001, 6 (suppl. 1), 19. Lu, J.; Sista, P.; Cammack, N.; Kuritzkes, D. Antivir. Ther., 2002, 7, S67. Reeves, J.D.; Gallo, S.A.; Ahmad, N.; Miamidian, J.L.; Harvey, P.E.; Sharron, M.; Pöhlmann, S.; Sfakianos, J.N.; Derdeyn, C.A.; Blumenthal, R.; Hunter, E.; Doms, R.W. Proc. Natl. Acad. Sci. U.S.A., 2002, 99, 16249. Rangel, H.R.; Weber, J.; Chakraborty, B.; Gutiérrez, A.; Marotta, M.L.; Mirza, M.; Kiser, P.; Martínez, M.A.; Esté, J.A.; QuiñonesMateu, M.E. J. Virol., 2003, 77, 9069. Armand-Ugón, M.; Quiñones-Mateu, M.E.; Gutiérrez, A.; Barretina, J.; Blanco, J.; Schols, D.; de Clercq, E.; Clotet, B.; Esté, J.A. Antivir. Ther., 2003, 8, 1. Hazuda, D.J.; Felock, P.; Witmer, M.; Wolfe, A.; Stillmock, K.; Grobler, J.A.; Espeseth, A.; Gabryelski, L.; Schleif, W.; Blau, C.; Miller, M.D. Science, 2000, 287, 646. Fikkert, V.; van Maele, B.; van Remoortel, B.; Michiels, M.; Vercammen, J.; Pannecouque, C.; Engelborghs, Y.; de Clercq, E.; Debyser, Z.; Witvrouw, M. 10th Conference on Retroviruses and Opportunistic Infections, Boston, 2003. Abstract 556. Marki, Y.; Kaufmann, G.R.; Battegay, M.; Klimkait, T. J. Infect. Dis., 2002, 185, 1844. Weber, J.; Rangel, H.R.; Chakraborty, B.; Marotta, M.L.; Valdez, H.; Fransen, K.; Florence, E.; Connick, E.; Smith, K.Y.; Colebunders, R.L.; Landay, A.; Kuritzkes, D.R.; Lederman, M.M.; Vanham, G.; Quiñones-Mateu, M.E. J. Acquir. Immune Defic. Syndr., 2003, 33, 448. Weber, J.; Rangel, H.R.; Chakraborty, B.; Tadele, M.; Martínez, M.A.; Martinez-Picado, J.; Marotta, M.L.; Mirza, M.; Ruiz, L.; Clotet, B.; Wrin, T.; Petropoulos, C.J.; Quiñones-Mateu, M.E. J. Gen. Virol., 2003, 84, 2217. Roger, M. FASEB J ., 1998, 12, 625. Hogan, C.M.; Hammer, S.M. Ann. Int. Med., 2001, 134, 978. Hogan, C.M.; Hammer, S.M. Ann. Int. Med., 2001, 134, 761. Moore, C.B.; John, M.; James, I.R.; Christiansen, F.T.; Witt, C.S.; Mallal, S.A. Science, 2002, 296, 1439. Karlsson, A.C.; Deeks, S.G.; Barbour, J.D.; Heiken, B.D.; Younger, S.R.; Hoh, R.; Lane, M.; Sallberg, M.; Ortiz, G.M.; Demarest, J.F.; Liegler, T.; Grant, R.M.; Martin, J.N.; Nixon, D.F. J. Virol., 2003, 77, 6743. Quiñones-Mateu, M.E.; Ball, S.C.; Marozsan, A.J.; Torre, V.S.; Albright, J.L.; Vanham, G.; van Der Groen, G.; Colebunders, R.L.; Arts, E.J. J. Virol., 2000, 74, 9222. Deeks, S.G.; Wrin, T.; Liegler, T.; Hoh, R.; Hayden, M.; Barbour, J.D.; Hellmann, N.S.; Petropoulos, C.J.; McCune, J.M.; Hellerstein, M.K.; Grant, R.M. N. Engl. J. Med., 2001, 344, 472. Barbour, J.D.; Wrin, T.; Grant, R.M.; Martin, J.N.; Segal, M.R.; Petropoulos, C.J.; Deeks, S.G. J. Virol., 2002, 76, 11104. Haubrich, R.; Wrin, T.; Hellmann, N.; McCutchan, J.A.; Keiser, P.; Kemper, C.; Witt, M.; Leedom, J.; Forthal, D.; Richman, D.; The CCTG. Antivir. Ther., 2002, 7, S101. Tebas, P.; Patick, A.K.; Kane, E.M.; Klebert, M.K.; Simpson, J.H.; Erice, A.; Powderly, W.G.; Henry, K. AIDS, 1999, 13, F23. Zolopa, A.R.; Shafer, R.W.; Warford, A.; Montoya, J.G.; Hsu, P.; Katzenstein, D.; Merigan, T.C.; Efron, B. Ann. Int. Med., 1999, 131, 813. Liegler, T.J.; Hayden, M.S.; Lee, K.H.; Hoh, R.; Deeks, S.G.; Grant, R.M. AIDS, 2001, 15, 179. Penn, M.L.; Myers, M.; Eckstein, D.A.; Liegler, T.J.; Hayden, M.; Mammano, F.; Clavel, F.; Deeks, S.G.; Grant, R.M.; Goldsmith, M.A. AIDS Res. Human Retrovir., 2001, 17, 517. Deeks, S.G.; Paxinos, E.E.; Wrin, T.; Hoh, R.; Aweeka, F.; Martin, J.N.; Petropoulos, C.J.; Grant, R.M. Antivir. Ther., 2003, 8, S73. Boden, D.; Hurley, A.; Zhang, L.; Cao, Y.; Guo, Y.; Jones, E.; Tsay, J.; Ip, J.; Farthing, C.; Limoli, K.; Parkin, N.; Markowitz, M. J. Amer. Med. Assoc., 1999, 282, 1135. Little, S.J.; Daar, E.S.; D'Aquila, R.T.; Keiser, P.H.; Connick, E.; Whitcomb, J.M.; Hellmann, N.S.; Petropoulos, C.J.; Sutton, L.; Pitt, J.A.; Rosenberg, E.S.; Koup, R.A.; Walker, B.D.; Richman, D.D. J. Amer. Med. Assoc., 1999, 282, 1142. Yerly, S.; Kaiser, L.; Race, E.; Bru, J.P.; Clavel, F.; Perrin, L. Lancet, 1999, 354, 729. Viral Fitness and Antiretroviral Drug Resistance [134] [135] [136] [137] [138] [139] [140] [141] UK Collaborative Group on Monitoring the Transmission of HIV Drug resistance. Brit. Med. J., 2001, 322, 1087. Little, S.J.; Holte, S.; Routy, J.P.; Daar, E.S.; Markowitz, M.; Collier, A.C.; Koup, R.A.; Mellors, J.W.; Connick, E.; Conway, B.; Kilby, M.; Wang, L.; Whitcomb, J.M.; Hellmann, N.S.; Richman, D.D. N. Engl. J. Med., 2002, 347, 385. Leigh Brown, A.J.; Frost, S.D.W.; Mathews, W.C.; Dawson, K.; Hellmann, N.S.; Daar, E.S.; Richman, D.D.; Little, S.J. J. Infect. Dis., 2003, 187, 683. Simon, V.; Padte, N.; Murray, D.; Vanderhoeven, J.; Wrin, T.; Parkin, N.; Di Mascio, M.; Markowitz, M. J. Virol., 2003, 77, 7736. Izopet, J.; Massip, P.; Souyris, C.; Sandres, K.; Puissant, B.; Obadia, M.; Pasquier, C.; Bonnet, E.; Marchou, B.; Puel, J. AIDS, 2000, 14, 2247. Miller, V.; Sabim, C.; Hertogs, K.; Bloor, S.; Martinez-Picado, J.; D'Aquila, R.; Larder, B.; Lutz, T.; Gute, P.; Weidmann, E.; Rabenau, H.; Phillips, A.; Staszewski, S. AIDS, 2000, 14, 2857. Turner, D.; Brenner, B.G.; Routy, J.-P.; Moisi, D.; Wainberg, M.A. Antivir. Ther., 2003, 7, S143. Barbour, J.D.; Wrin, T.; Hecht, F.M.; Hellmann, N.S.; Petropoulos, C.J.; Segal, M.R.; Grant, R.M. Antivir. Ther., 2003, 7, S80. Current Drug Targets – Infectious Disorder 2003, Vol. 3, No. 4 371 [142] [143] [144] [145] [146] [147] [148] [149] [150] [151] Grant, R.M.; Barbour, J.D.; Wrin, T.; Warmerdam, M.; Hellmann, N.S.; Kahn, J.O.; Petropoulos, C.J.; Hecht, F.R. Antivir. Ther., 2002, 7, S41. Little, S.J.; Dawson, K.; Hellman, N.S.; Richman, D.D.; Frost, S.D.W. Antivir. Ther., 2003, 7, S129. Robinson, L.H.; Gale, C.V.; Kleim, J.P. J. Virol. Methods, 2002, 104, 147. Mammano, F.; Petit, C.; Clavel, F. J. Virol., 1998, 72, 7632. Peters, S.; Munoz, M.; Yerly, S.; Sánchez-Merino, V.; LópezGalíndez, C.; Perrin, L.; Larder, B.; Cmarko, D.; Fakan, S.; Meylan, P.; Telenti, A. J. Virol., 2001, 75, 9644. Arts, E.J.; Quiñones-Mateu, M.E. AIDS, 2003, 17, 780. Hirsch, M.S.; Brun-Vézinet, F.; Clotet, B.; Conway, B.; Kuritzkes, D.R.; D'Aquila, R.T.; Demeter, L.M.; Hammer, S.M.; Johnson, V.A.; Loveday, C.; Mellors, J.W.; Jacobsen, D.M.; Richman, D.D. Clin. Infect. Dis., 2003, 37, 113. Clavel, F.; Race, E.; Mammano, F. Adv. Pharmacol., 2000, 49, 41. Nijhuis, M.; Deeks, S.; Boucher, C. Curr. Opin. Infect. Dis., 2001, 14, 23. Quiñones-Mateu, M.E.; Arts, E.J. In HIV Sequence Compendium 2001, Kuiken, C.; Foley, B.; Hahn, B.; Marx, P.; McCutchan, F.; Mellors, J.; Wolinsky, S.; Korber, B. Eds.; Theoretical Biology and Biophysics Group, Los Alamos National Laboratory: Los Alamos, NM, 2001, pp. 134.