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Drug Resistance and Antiretroviral Drug Development
As
more drugs for treating HIV have become available, drug
resistance profiles within antiretroviral drug classes have become increasingly important
for researchers developing new drugs and for clinicians integrating
new drugs into their clinical practice.
In
vitro passage experiments and comprehensive phenotypic
susceptibility testing are used for the pre-clinical evaluation of drug resistance.
Clinical studies are required, however, to delineate the full
spectrum of mutations responsible for resistance to a new
drug and to identify the settings in which a new drug
is likely to be most useful for salvage
therapy.
Introduction
The
US Food and Drug Administration (FDA) has approved eight nucleoside
reverse transcriptase (RT) inhibitors (NRTIs), seven protease
inhibitors (PIs),* three non-nucleoside
RT inhibitors (NNRTIs), and one fusion
inhibitor. Four fixed-dose
NRTI combination formulations and several modified versions
of existing drugs with improved bioavailability have
also been approved. Additional NRTIs, NNRTIs, and PIs
are in advanced clinical development and several cell
entry inhibitors are in earlier stages of clinical development.
As
more antiretroviral drugs are approved, resistance profiles
within drug classes have become increasingly important. This
importance is reflected in the recent publication by the US
FDA of a draft document entitled, “Guidance for Industry:
Role of HIV Drug Resistance Testing in Antiretroviral Drug
Development.”
Clinicians
also look to the resistance profiles of experimental drugs
when considering whether to enrol their patients in clinical
trials and expanded access programmes, or to delay therapeutic
changes in anticipation of new drug approvals. We have written
this review to help clinicians interpret the drug resistance
profiles of new compounds as they are published in pre-clinical
and early clinical studies.
[Editor’s
Note: with the June 24,
2005 approval of tipranavir (Aptivus), there are now 8 FDA-approved
protease inhibitors]
Clinical
Development
It
is not possible to accurately predict solely from pre-clinical
data all the mutations that cause resistance to a new drug,
let alone their clinical consequences. First, in vitro
passage experiments may not identify the most relevant
drug-resistance mutations because the size and genetic
heterogeneity of the HIV-1 population in a person far
surpass those of a laboratory isolate.
Second,
in vitro susceptibility testing is performed using
cells that do not accurately reflect antiviral activity in
vivo. Third, many drug-resistance mutations reduce virus
replication and possibly virulence; clinical benefit is often
maintained by continuing therapy based on the drug-resistance
mutations that are present. Finally, it is not possible to
measure in vitro the effect of synergic drug combinations
that prevent the emergence of drug resistance.
Clinical
studies are therefore needed to identify mutations emerging
in patients who develop virological failure while receiving
a new drug and to assess the consequences of different mutations
on the virological response to a new drug.
Plasma
HIV-1 RNA levels
are the mainstay for defining
virological success and failure in such studies. It has
only rarely been possible to correlate drug resistance
with immunological decline or clinical morbidity because these downstream consequences of virological
failure are usually confounded by changes made in response
to the earlier plasma HIV-1 RNA changes.
Conclusions
Drug
resistance testing is an important factor to be considered
when prioritizing the development of new antiretroviral drugs.
Although in vitro passage experiments do not lend themselves
to standardization, they are a necessary step in drug development
and clinicians need to be able to interpret the results of
these studies in light of the caveats noted above.
The
choice of drug susceptibility tests for quantifying drug
resistance and of isolates for measuring cross-resistance,
however, can benefit from increased standardization.
Pre-clinical drug resistance data are important not just
for deciding what type of clinical trials to conduct;
if a new drug is approved, they are essential for the
optimal use of genotypic resistance testing done for patient
management.
Analyses
that correlate between genotype and clinical outcome are
complicated but essential. These studies have often been performed
during both pre- and post-drug approval. Most studies are
based on small numbers of patients and yield results that require
validation in larger studies.
Therefore,
despite the excellent guidelines
for the initial treatment of HIV, guidelines for treating persons who have
failed an initial regimen due to drug resistance or who
have been primarily infected with a drug-resistant strain
are vague and somewhat contradictory.
Increasing
numbers of correlations between genotype and phenotype and
response to a new treatment regimen are also required for the
optimal use of new drugs following approval and widespread
use.
Division
of Infectious Diseases, Department of Medicine, Stanford University,
Stanford, CA 94305, USA; National Hemophilia Center, Sheba Medical
Center, Tel Aviv, Israel.
06/24/05
Reference
R W Shafer and J M Schapiro. Drug
resistance and antiretroviral drug development. Journal of Antimicrobial
Chemotherapy. 55:
817 - 820. 546-549. June 2005.
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