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JAC Advance Access originally published online on April 9, 2008
Journal of Antimicrobial Chemotherapy 2008 61(6):1187-1190; doi:10.1093/jac/dkn130
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© The Author 2008. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org

Leading article

Maraviroc: integration of a new antiretroviral drug class into clinical practice

Linos Vandekerckhove1,*, Chris Verhofstede2 and Dirk Vogelaers1

1 AIDS Reference Centre, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium 2 AIDS Reference Laboratory, Ghent University, De Pintelaan 185, 9000 Ghent, Belgium


* Corresponding author. Tel: +32-93323398; Fax: +32-93325690; E-mail: linos.vandekerckhove{at}ugent.be


    Abstract
 Top
 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
Maraviroc (Pfizer's UK-427857, Selzentry or Celsentri outside the US) is the first agent in the new class of oral HIV-1 entry inhibitors to acquire FDA and EMEA approval. It is expected that this drug will be effective only in a subpopulation of HIV-1-infected people, namely those harbouring only the R5 virus. The wide use of this drug is currently hampered by the lack of a readily available R5 virus only determination test (tropism test) and by insufficient scientific insight into the dynamics of R5 and X4 viruses during infection. We discuss the challenges associated with the currently available assay, as well as the potential role of alternative assays.

Keywords: tropism , chemokine receptor , co-receptor-blocker , V3 loop sequencing


    Introduction
 Top
 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
The chemokine receptor antagonist maraviroc is designed to prevent HIV-1 infection by blocking the CCR5 co-receptor. Entry of HIV-1 into a target cell requires interaction between the envelope glycoproteins (gp120) on the surface of the virus and the CD4 receptor and a chemokine co-receptor on the human cell. The two main co-receptors involved in HIV entry are CCR5 and CXCR4. Viruses that have an affinity for the CCR5 co-receptor are called CCR5-tropic or R5, whereas those that bind CXCR4 are known as CXCR4-tropic or X4. A dual tropic (R5/X4) virus can bind both CCR5 and CXCR4. CCR5 antagonists are expected to be of most use in individuals carrying R5 viruses only. For maraviroc, this hypothesis was supported by the results of the MOTIVATE clinical trials: MOTIVATE 1, conducted in the USA and Canada, and MOTIVATE 2, conducted in Europe, Australia and the USA.


    MOTIVATE trials
 Top
 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
MOTIVATE 1 and 2 were randomized, double-blind studies evaluating potency, safety and efficacy of the addition of maraviroc to an optimized background therapy (OBT) in antiretroviral-therapy-experienced patients with multiple class resistance. The addition of maraviroc twice daily resulted in a statistically significant greater viral load reduction and a significantly greater increase in CD4+ white blood cells compared with OBT alone. Nearly twice as many patients treated with maraviroc plus OBT achieved undetectable viral loads (<50 copies/mL) compared with placebo plus OBT (MOTIVATE 1, 48.5% versus 24.6%; MOTIVATE 2, 40.8% versus 20.9%).1,2 Based on the results of the MOTIVATE trials, the FDA and the EMEA recently approved the use of maraviroc for combination antiretroviral treatment of adults with evidence of viral replication and genotypic resistance to multiple antiretroviral agents and with only CCR5 ‘tropic HIV-1 detectable’.


    Challenges associated with tropism diagnostic requirements and maraviroc use
 Top
 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
The restriction of maraviroc use to patients with only the CCR5-tropic virus makes determination of the co-receptor tropism a requisite for maraviroc initiation. A recombinant HIV-1 co-receptor tropism assay, TrofileTM (Monogram Biosciences, San Francisco, CA, USA), is currently the only tropism assay that has been clinically validated for determination of co-receptor use. The assay was used in all maraviroc clinical development programmes with over 5000 patients being screened. The two companies, Monogram and Pfizer, have a collaboration agreement to make TrofileTM available for patients on a global basis.

Practical as well as economic challenges are associated with the dependence on TrofileTM for the use of maraviroc. Centralized laboratory testing requires the shipment of fresh blood or plasma specimens from all over the world to one location in California, USA, currently the only location where an assay of this complexity can be conducted. The assay itself is expensive and it is currently unclear who will, in the long term, pay these additional costs. Besides cost, there are other issues such as the turnaround time of 3–6 weeks and the fact that a minimal viral load of 1000 RNA copies/mL is required for adequate sensitivity (94% to 95% amplification success rate).3


    Interpretational challenges associated with the relation between tropism and maraviroc efficiency
 Top
 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
Using sensitive clonal methods, Lewis et al.4 and Westby et al.5 were able to show that strains with the same genetic characteristics as the CXCR4-using viruses isolated at maraviroc failure were already present in small quantities in the baseline samples of these patients but remained undetected by TrofileTM. The limited sensitivity for the detection of minority species is an intrinsic shortcoming of all phenotypic assays (not only Trofile). Each ‘R5 only’ result therefore should be interpreted with caution and is not a foregone guarantee for prolonged maraviroc susceptibility. The FDA label for maraviroc clearly marks that failure might be a consequence of the presence of undetected minorities at baseline.

Mayer et al.6 evaluated the effect of maraviroc in patients with a dual or mixed tropic virus. Although the addition of maraviroc did not result in improved viral suppression compared with OBT alone, patients in the maraviroc group experienced a greater increase in CD4+ T cells than patients in the placebo group (week 24: maraviroc once daily +60, twice daily +62 cells, placebo +35 cells/mm3). The effect of maraviroc in dual or mixed tropic populations definitely needs further evaluation. In particular, the influence of maraviroc on the quantitative distribution of viruses with a different tropism must be looked at in more detail. It might be that, although not beneficial, addition of maraviroc to a dual or mixed tropic virus population is at least harmless. A study presented recently at the Fifteenth Conference on Retroviruses and Opportunistic Infections described a detailed analysis of the tropism of viruses isolated from patients with virological failure in the MOTIVATE 1 and 2 trials.7 Clonal genotypic analysis allowed the classification of viral strains that were scored as dual tropic by TrofileTM, as dual-R or dual-X tropic, based on a comparison of the V3 sequence with known R5 or X4 strains. It appeared that dual-R clones may remain responsive to maraviroc, although in vivo they always co-existed with dual-X clones. The clinical relevance of these findings requires further investigation.


    Alternative assays
 Top
 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
Although currently the only assay with clinical validation available, TrofileTM cannot be considered the ‘gold standard’ for tropism determination.8 Alternative technologies can be subdivided into two groups: phenotypic and genotypic assays, the latter linked to bioinformatics-driven prediction tools. Phenotypic technologies are always based on the generation of recombinant or pseudo-viruses, starting from a patient's virus-derived envelope. Such viruses are then used to infect cells presenting the appropriate co-receptor. Tropism is, depending on the assay, deduced from a luciferase, fluorescence or β-galactosidase read-out module.911

The genotypic methods are based on the observation that most of the determinants for co-receptor specificity are located within the highly variable V3 loop of the envelope protein. A number of bioinformatic tools have been used to develop prediction algorithms, several of which are now freely available on the Internet.1216 A recent study by Low et al.,8 however, showed that these genotypic algorithms are inadequate for clinical use. Though the predictive value for X4 use of most of these algorithms is high (between 88% and 97%), their use is mainly limited by a lack of sensitivity of population-based sequencing for the detection of minority species. The study of Low et al. was performed on treatment-naive patients and thus not on the patient populations studied in the MOTIVATE trials, on which FDA and EMEA approval is currently based. Genotyping assays may perform differently in treatment-experienced patients. In addition, taking into account immunological markers (CD4+) in the genotypic algorithms might further improve their predictive capacity.17


    Are diagnostic tropism assays really feasible?
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 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
Despite the previously mentioned shortcomings, the use of genotyping methods for tropism prediction is tempting because it would allow most of the routine HIV labs that are fully equipped for the determination of genotypic drug resistance to predict tropism in a more cost-effective and timely manner.8

In the testing cascade recently proposed (Figure 1), genotyping assays are used as first-line assays, whether in combination with immunological markers and treatment history or not.11 If the result of genotypic prediction algorithms indicates the presence of X4 virus, the cascade can be stopped and the patient considered as not eligible for maraviroc treatment. If the results indicate an R5 or unknown tropism, additional testing, preferably phenotypic testing, must be conducted. In a number of clinical studies, analysis for co-receptor tropism in treatment-experienced patients showed that the R5 virus alone was detected in no more than half of these patients (50% to 78%) (for a recent review, see Tsibris and Kuritzkes18). The possibility of identifying X4 virus in the remaining 32% to 50% by genotyping would reduce the number of samples to be sent for phenotyping by half, thereby reducing the waiting time for advice supporting or discouraging the use of maraviroc in these patients.


Figure 1
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Figure 1. Proposed testing cascade for tropism determination in clinical practice (modified from Van Baelen et al.11 with permission from the corresponding author and Elsevier). The flow chart illustrates a strategy for tropism determination integrating both genotypic and phenotypic assays. Samples that can easily be classified as containing X4 or dual/mixed tropic viruses by population genotyping will no longer need phenotypic analysis and can be excluded for maraviroc use immediately. This will reduce both the cost and processing time. Efforts to further improve the predictive value of genotypic algorithms, e.g. by extension of the databases on which these algorithms are based or by including additional patient information, will result in a further decrease in the number of samples to be sent out for phenotyping.

 
But there are a number of drawbacks and several unanswered questions. The result of genotyping is largely dependent on the quality of V3 loop sequencing and, due to high inter-patient variability in the envelope gene, obtaining a good quality sequencing result is not certain. Besides, minority species detection in population sequencing will be at least problematic. The quality of the prediction algorithms needs further clinical validation and cut-offs defining clinical response to maraviroc should be established.

After the first selection by genotyping, additional phenotypic testing could be done using either TrofileTM or one of the alternative assays.911 Although for some of these alternative assays comparative data with Trofile are available, none has been evaluated in clinical trials. Efforts to conduct this evaluation must be encouraged.19 The availability of several good quality phenotypic assays will eliminate the need for centralization and sample transport overseas.


    The problem with minority species
 Top
 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
Much remains unknown about the kinetics of R5 and X4 viruses during the course of the HIV infection but increasing data seem to support the statement that the majority of patients carry a mixture of R5- and X4-using HIV strains.11 Using artificial mixtures of patient-derived viral clones, phenotypic assays available today can detect minority species with a sensitivity approaching 100% when the minority species account for 10% of the population, dropping to ~83% at 5% minority. There is the expectation that, with new sequencing technological breakthroughs (e.g. cyclic array sequencing, ultra-deep sequencing), this detection limit can be lowered considerably.4 With regard to the prediction of maraviroc susceptibility, the question arises of how deep one needs to look for minority X4 strains. Is it the absolute number of X4 strains in the blood or the relative amount of X4 strains in the total population that is of prognostic value? It might be that the affinity of the virus gp120 for a certain co-receptor presents itself not as a black and white situation, but as a spectrum, going from R5-tropic towards X4-tropic in a gradual scale, realized by a continued accumulation of mutations in V3 and other gp120 domains. Hence, interpretations of the impact of the X4-tropic minority species would require relevant cut-off values for clinical response on such a gradual scale.


    Conclusions
 Top
 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
The number of patients with limited treatment options as a result of multidrug resistance or intolerance is continuously growing. A promising new drug has been released to the patient's benefit. The clinical availability of the co-receptor antagonist maraviroc precedes the scientific understanding that is needed to clearly position this class of drugs in the total spectrum of treatment options and this gap must be filled as soon as possible.


    Transparency declarations
 Top
 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
None to declare.


    References
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 Abstract
 Introduction
 MOTIVATE trials
 Challenges associated with...
 Interpretational challenges...
 Alternative assays
 Are diagnostic tropism assays...
 The problem with minority...
 Conclusions
 Transparency declarations
 References
 
1 Lalezari J, Goodrich J, DeJesus E, et al. Efficacy and safety of maraviroc plus optimized background therapy in viremic ART-experienced patients infected with CCR5-tropic HIV-1: 24-week results of a Phase 2b/3 study in the US and Canada. (2007) Abstracts of the Fourteenth Conference on Retroviruses and Opportunistic Infections: Los Angeles, CA. Abstract 104bLB. http://www.retroconference.org/2007/Abstracts/30635.htm(24 February 2008, date last accessed).

2 Nelson M, Fätkenheuer G, Konourina I, et al. Efficacy and safety of maraviroc plus optimized background therapy in viremic, ART-experienced patients infected with CCR5-tropic HIV-1 in Europe, Australia, and North America: 24-week results. (2007) Abstracts of the Fourteenth Conference on Retroviruses and Opportunistic Infections: Los Angeles, CA. Abstract 104aLB. http://www.retroconference.org/2007/Abstracts/30636.htm(24 February 2008, date last accessed).

3 Petropoulos C, Limoli K, Whitcomb J, et al. Validation studies defining the performance of Monogram's HIV coreceptor tropism assay, Trofile. (2007) Abstracts of the Fifth European HIV Drug Resistance Workshop: Cascais, Portugal. Abstract 57.

4 Lewis M, James I, Braverman M, et al. Evaluation of an ultra-deep sequencing method to identify minority sequence variants in the HIV-1 env gene from clinical samples. (2007) Abstracts of the Fourteenth Conference on Retroviruses and Opportunistic Infections: Los Angeles, CA. Abstract 680. http://www.retroconference.org/2007/Abstracts/28434.htm(24 February 2008, date last accessed).

5 Westby M, Lewis M, Whitcomb J, et al. Emergence of CXCR4-using human immunodeficiency virus type 1 (HIV-1) variants in a minority of HIV-1-infected patients following treatment with the CCR5 antagonist maraviroc is from a pretreatment CXCR4-using virus reservoir. J Virol (2006) 80:4909–20.[Abstract/Free Full Text]

6 Mayer H, van der Ryst E, Saag M, et al. Safety and efficacy of maraviroc (MVC), a novel CCR5 antagonist, when used in combination with optimized background therapy (OBT) for the treatment of antiretroviral-experienced subjects infected with dual/mixed-tropic HIV-1: 24-week results of a Phase 2b exploratory trial. (2006) Abstracts of the Sixteenth International AIDS Conference: Toronto, Canada. Abstract THLB0215.

7 Lewis M, Mori J, Simpson P, et al. Changes in V3 loop sequence associated with failure of maraviroc treatment in patients enrolled in the MOTIVATE 1 and 2 trials. (2008) Abstracts of the Fifteenth Conference on Retroviruses and Opportunistic Infections: Boston, MA. Abstract 871. http://www.retroconference.org/2008/Abstracts/32636.htm(24 February 2008, date last accessed).

8 Low AJ, Dong W, Chan D, et al. Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates. AIDS (2007) 21:F17–24.[CrossRef][Medline]

9 Whitcomb JM, Huang W, Fransen S, et al. Development and characterization of a novel single-cycle recombinant-virus assay to determine human immunodeficiency virus type 1 coreceptor tropism. Antimicrob Agents Chemother (2007) 51:566–75.[Abstract/Free Full Text]

10 Trouplin V, Salvatori F, Cappello F, et al. Determination of coreceptor usage of human immunodeficiency virus type 1 from patient plasma samples by using a recombinant phenotypic assay. J Virol (2001) 75:251–9.[Abstract/Free Full Text]

11 Van Baelen K, Vandenbroucke I, Rondelez E, et al. HIV-1 coreceptor usage determination in clinical isolates using clonal and population-based genotypic and phenotypic assays. J Virol Methods (2007) 146:61–73.[Web of Science][Medline]

12 Fouchier RA, Groenink M, Kootstra NA, et al. Phenotype-associated sequence variation in the third variable domain of the human immunodeficiency virus type 1 gp120 molecule. J Virol (1992) 66:3183–7.[Abstract/Free Full Text]

13 Pillai S, Good B, Richman D, et al. A new perspective on V3 phenotype prediction. AIDS Res Hum Retroviruses (2003) 19:145–9.[CrossRef][Web of Science][Medline]

14 Sing T, Beerenwinkel N, Kaiser R, et al. Geno2pheno[coreceptor]: a tool for predicting coreceptor usage from genotype and for monitoring coreceptor-associated sequence alterations. (2005) Abstracts of the Third European HIV Drug Resistance Workshop: Athens, Greece. Abstract A96.

15 Resch W, Hoffman N, Swanstrom R. Improved success of phenotype prediction of the human immunodeficiency virus type 1 from envelope variable loop 3 sequence using neural networks. Virology (2001) 288:51–62.[CrossRef][Web of Science][Medline]

16 Jensen MA, Coetzer M, van 't Wout AB, et al. A reliable phenotype predictor for human immunodeficiency virus type 1 subtype C based on envelope V3 sequences. J Virol (2006) 80:4698–704.[Abstract/Free Full Text]

17 Sing T, Harrigan R, Beerenwinkel N, et al. Immunologic markers improve genotypic prediction of HIV-1 coreceptor usage. (2006) Abstracts of the Fourth European HIV Drug Resistance Workshop: Monaco, Monte Carlo. Abstract A30.

18 Tsibris AM, Kuritzkes DR. Chemokine antagonists as therapeutics: focus on HIV-1. Annu Rev Med (2007) 58:445–59.[CrossRef][Web of Science][Medline]

19 Skrabal K, Low AJ, Dong W, et al. Determining human immunodeficiency virus coreceptor use in a clinical setting: degree of correlation between two phenotypic assays and a bioinformatic model. J Clin Microbiol (2007) 45:279–84.[Abstract/Free Full Text]


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