![]() |
![]() |
|
![]() | ||
DECEMBER 2004
Main Article:
Use of HIV Resistance Testing in Antiretroviral Therapy Decision Making
By Dr. Ian Frank, Attending Physician; Director, Antiretroviral Clinical Research; and Associate Professor, Department of Medicine, University of Pennsylvania
As HIV replicates, mutations in the HIV genome develop due to errors in the transcription of RNA to DNA by the viral enzyme reverse transcriptase. When these errors are introduced into viral genes, a mutation may result. If the mutation occurs in one of the HIV proteins that is a target of an antiretroviral drug, the result may be decreased susceptibility or resistance to that drug, and lack of inhibition of viral replication by that drug. All progeny virions that are produced from a cell harboring mutant, resistant virus contain the same mutation or set of mutations. Approximately one mutation is introduced into the virus genome with each cycle of virus replication.1 Because HIV replicates at such a rapid rate - roughly one to 10 billion viral particles are produced daily2 - virtually all possible mutations in the HIV genome are generated within a patient on a daily basis. In this way, all HIV patients, including those naïve to therapy, harbor a diverse population of viruses with differing susceptibilities to the currently available antiretroviral drugs. When a patient starts antiretroviral therapy, failure to achieve or maintain plasma viral loads below quantifiable levels invariably leads to the selection of virus that contains mutation(s) that confer a survival advantage to the virus; in this case, there is some degree of resistance to one or more drugs within the patient's combination. Virus that is resistant to a drug within one class of antiretroviral agents is often cross-resistant to other drugs within the same class. Thus, when patients develop resistant virus, the potential to construct effective combinations of antiretroviral medications declines quickly. In order to achieve the goal of inhibiting virus replication and maintaining immunologic function in individuals who will live with HIV infection for decades, the selection of combinations that limit resistance and maintain therapeutic options for those who fail is essential. Assays are now available that allow for the identification of resistant virus. The value of resistance assays has been validated by (1) improved outcomes in randomized clinical trials in which treatment decisions are made with resistance data compared to those made without this information and (2) from clinical trials that demonstrate improved virologic outcomes when patients receive more agents to which their virus is sensitive as determined by resistance tests.3-5 Types of Resistance Assays Interpretation of Resistance Tests Genotypic resistance tests report the codon(s) in the amino acid sequence of the virus that differs from wild type. Only those mutations with known impact on virus susceptibility are typically listed. With each mutation reported three pieces of information are usually given: the number of the codon in the amino acid sequence that is mutated, the wild-type base, and the mutant base. Genotypic resistance tests provide an interpretation that assesses the impact of the particular set of mutations observed in the patient's virus on the susceptibility of that virus to available drugs. This interpretation is derived in one of two ways. One method is the application of an algorithm based upon a set of rules that link specific mutations with known patterns of resistance to a drug. The algorithms used for interpretation need to be regularly updated in order to include newly described mutations associated with resistance. Rules-based algorithms often fail to consider the interaction that several mutations may have on virus susceptibility. The second method for interpretation of genotypic resistance is the VirtualPhenotypeTM (Virco). In this system, the sequence of the patient's virus is matched with viruses that have similar genotypes stored in a database. The viruses represented in the database have had phenotypic virus susceptibilities performed. The virtual phenotype provides the average fold-change in IC50 of these viruses, gives the approximate proportions of matched viruses in the database that are fully or partially susceptible or resistant, and indicates whether the patient's virus is more likely to be sensitive or resistant. The virtual phenotype does not report whether the patient's virus is sensitive or resistance; it provides an estimate of the probability that the virus is sensitive or resistant. Limitations of Resistance Testing and Discordance Between Phenotypic and Genotypic Resistance Test Results Indications for Use of Resistance Tests Resistance testing is recommended in all patients with virologic failure prior to beginning a new antiretroviral combination. Patients with a quantifiable viral load on their initial combination may have virus that is resistant to only one, or perhaps two, agents in their combination. These individuals have many options for their next combination, and their therapy should ideally be switched to three new drugs, even if they exhibit virus that is only resistant to a single agent. In patients who fail multiple regimens, the pattern of resistance is typically complex. Resistance testing is used to optimize the therapeutic response, but the goal of achieving an undetectable viral load may not be possible. In addition, if a patient's CD4+ lymphocyte count is high, it may be prudent to withhold an agent or class of agents if it is unlikely that the patient will achieve an undetectable viral load, in the hopes that when newer agents are available a combination can be constructed that will be more successful in reducing the viral load below detectable levels. Selecting Genotypic or Phenotypic Resistance Testing Disclosures: References:
2. Perelson AS, Neumann AU, Markowitz M, et al. Science 1996; 271:1582-1586. 3. Lanier E, Hellmann N, Scott J, et al. 8th Conference on Retroviruses and Opportunistic Infections; February, 2001; Chicago, IL. Abs 254. 4. Hirsch MS, Brun-Vezinet F, Clotet B, et al. Clin Infect Dis 2003; 37:112-128. 5. Panel on Clinical Practices for Treatment of HIV infection. March 24, 2004. Available at: http://aidsinfo.nih.gov 6. Little SJ, Koelsch KK, Ingacio CC, et al. 11th Conference on Retroviruses and Oportunistic Infections; February, 2004; San Francisco, CA. Abs 36LB. 7. Petropoulos CJ, Chappey C, Parkin NT. 43rd Interscience Conference on Antimicrobial Agents and Chemotherapy. Sept, 2003; Chicago, IL, Abs. H-451. 8. Whitcomb JM, Parkin NT, Chappey C, et al. JID 2003; 188:992-1000. 9. Baxter JD, Mayers DL, Wentworth DN, et al. AIDS 2000; 14:F83-93. 10. Tural C, Ruiz L, Holtzer C, et al. AIDS 2002; 16:209-218. 11. Cohen C, Hunt S, Sension M, et al. AIDS 2002; 16:579-588.
|
| |||||||||||||||||||||||||||||||