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Objective: Determine HIV drug resistance mutations (DRMs) prevalence at low and high levels in ART-experienced patients experiencing virologic failure (VF)., Methods: 29 subjects from 18 counties in Hunan Province that experienced VF were evaluated for the prevalence of DRMs (Stanford DRMs with an algorithm value ≥15, include low-, intermediate and high-level resistance) by both Sanger sequencing (SS) and deep sequencing (DS) to 1% frequency levels., Results: DS was performed on samples from 29 ART-experienced subjects; the median viral load 4.95×10(4) c/ml; 82.76% subtype CRF01&#95;AE. 58 DRMs were detected by DS. 18 DRMs were detected by SS. Of the 58 mutations detected by DS, 40 were at levels <20% frequency (26 NNRTI, 12 NRTI and 2 PI) and the majority of these 95.00% (38/40) were not detected by standard genotyping. Of these 40 low-level DRMs, 16 (40%) were detected at frequency levels of 1-4% and 24 (60%) at levels of 5-19%. SS detected 15 of 17 (88.24%) DRMs at levels ≥ 20% that were detected by DS. The only variable associated with the detection of DRMs by DS was ART adherence (missed doses in the prior 7 days); all patients that reported missing a dose in the last 7 days had DRMs detected by DS., Conclusions: DS of VF samples from treatment experienced subjects infected with primarily AE subtype frequently identified Stanford HIVdb NRTI and NNRTI resistance mutations with an algorithm value 15. Low frequency level resistant variants detected by DS were frequently missed by standard genotyping in VF specimens from antiretroviral-experienced subjects.

Purpose of Review: The review discusses new technologies for the sensitive detection of HIV drug resistance, with a focus on applications in antiretroviral treatment (ART)-naïve populations., Recent Findings: Conventional sequencing is well established for detecting HIV drug resistance in routine care and guides optimal treatment selection in patients starting ART. Access to conventional sequencing is nearly universal in Western countries, but remains limited in Asia, Latin America, and Africa. Technological advances now allow detection of resistance with greatly improved sensitivity compared with conventional sequencing, variably increasing the yield of resistance testing in ART-naïve populations. There is strong cumulative evidence from retrospective studies that sensitive detection of resistant mutants in baseline plasma samples lacking resistance by conventional sequencing more than doubles the risk of virological failure after starting efavirenz-based or nevirapine-based ART., Summary: Sensitive resistance testing methods are mainly confined to research applications and in this context have provided great insight into the dynamics of drug resistance development, persistence, and transmission. Adoption in care settings is becoming increasingly possible, although important challenges remain. Platforms for diagnostic use must undergo technical improvements to ensure good performance and ease of use, and clinical validation is required to ensure utility.

Low-frequency HIV variants possessing resistance mutations against non‑nucleoside reverse transcriptase inhibitors (NNRTI), especially at HIV reverse transcriptase (RT) amino acid (aa) positions K103 and Y181, have been shown to adversely affect treatment response. Therapeutic failure correlates with both the mutant viral variant frequency and the mutational load. We determined the prevalence of NNRTI resistance mutations at several RT aa positions in viruses from 204 antiretroviral (ARV)-naïve HIV-infected individuals using deep sequencing, and examined the relationship between mutant variant frequency and mutational load for those variants. Deep sequencing to ≥0.4% levels found variants with major NNRTI-resistance mutations having a Stanford-HIVdb algorithm value ≥30 for efavirenz and/or nevirapine in 52/204 (25.5%) ARV-naïve HIV-infected persons. Eighteen different major NNRTI mutations were identified at 11 different positions, with the majority of variants being at frequency >1%. The frequency of these variants correlated strongly with the mutational load, but this correlation weakened at low frequencies. Deep sequencing detected additional major NNRTI-resistant viral variants in treatment-naïve HIV-infected individuals. Our study suggests the significance of screening for mutations at all RT aa positions (in addition to K103 and Y181) to estimate the true burden of pre-treatment NNRTI-resistance. An important finding was that variants at low frequency had a wide range of mutational loads (>100-fold) suggesting that frequency alone may underestimate the impact of specific NNRTI-resistant variants. We recommend further evaluation of all low-frequency NNRTI-drug resistant variants with special attention given to the impact of mutational loads of these variants on treatment outcomes.

Background: There are few data on the prevalence of WHO transmitted drug resistance mutations (TDRs) that could affect treatment responses to first line antiretroviral therapy (ART) in Hunan Province, China., Objective: Determine the prevalence of WHO NRTI/NNRTI/PI TDRs in ART-naïve subjects in Hunan Province by deep sequencing., Methods: ART-naïve subjects diagnosed in Hunan between 2010-2011 were evaluated by deep sequencing for low-frequency HIV variants possessing WHO TDRs to 1% levels. Mutations were scored using the HIVdb.stanford.edu algorithm to infer drug susceptibility., Results: Deep sequencing was performed on samples from 90 ART-naïve subjects; 83.3% were AE subtype. All subjects had advanced disease (average CD4 count 134 cells/mm3). Overall 25.6%(23/90) of subjects had HIV with major WHO NRTI/NNRTI TDRs by deep sequencing at a variant frequency level ≥ 1%; 16.7%(15/90) had NRTI TDR and 12.2%(11/90) had a major NNRTI TDR. The majority of NRTI/NNRTI mutations were identified at variant levels <5%. Mutations were analyzed by HIVdb.stanford.edu and 7.8% of subjects had variants with high-level nevirapine resistance; 4.4% had high-level NRTI resistance. Deep sequencing identified 24(27.6%) subjects with variants possessing either a PI TDR or hivdb.stanford.edu PI mutation (algorithm value ≥ 15). 17(19.5%) had PI TDRs at levels >1%., Conclusions: ART-naïve subjects from Hunan Province China infected predominantly with subtype AE frequently possessed HIV variants with WHO NRTI/NNRTI TDRs by deep sequencing that would affect the first line ART used in the region. Specific mutations conferring nevirapine high-level resistance were identified in 7.8% of subjects. The majority of TDRs detected were at variant levels <5% likely due to subjects having advanced chronic disease at the time of testing. PI TDRs were identified frequently, but were found in isolation and at low variant frequency. As PI/r use is infrequent in Hunan, the existence of PI mutations likely represent AE subtype natural polymorphism at low variant level frequency.

Drug-resistant human immunodeficiency virus type 1 (HIV-1) minority variants increase the risk of virologic failure for first-line nonnucleoside reverse transcriptase inhibitor (NNRTI)-based regimens. We performed a pooled analysis to evaluate the relationship between NNRTI-resistant minority variants and the likelihood and types of resistance mutations detected at virologic failure. In multivariable logistic regression analysis, higher NNRTI minority variant copy numbers, non-white race, and nevirapine use were associated with a higher risk of NNRTI resistance at virologic failure. Among participants on efavirenz, K103N was the most frequently observed resistance mutation at virologic failure regardless of the baseline minority variant. However, the presence of baseline Y181C minority variant was associated with a higher probability of Y181C detection after virologic failure. NNRTI regimen choice and preexisting NNRTI-resistant minority variants were both associated with the probability and type of resistance mutations detected after virologic failure.

Objectives: Antiretroviral (ARV) resistance is of concern. Opioid agonist treatment (ie, methadone or buprenorphine) is effective and decreases HIV transmission risk behaviors and HIV seroconversion. Despite prevention efforts, injection drug use (IDU) and risky sexual behaviors remain prevalent in patients receiving opioid agonist treatment. The purpose of this study is to determine in HIV-infected patients receiving opioid agonist treatment, the prevalence of HIV transmission risk behaviors, the prevalence of ARV resistance, and the prevalence of ARV resistance among those with risk behaviors., Methods: The design was a cross-sectional study of patients recruited from opioid treatment programs and outpatient practices. We measured demographic, drug treatment, and HIV clinical information (including ARV adherence), self-reported HIV risk behaviors and drug use, urine toxicologies, and genotype testing for ARV resistance (with both standard assays and ultradeep sequencing). Data analysis included descriptive statistics., Results: Fifty-nine subjects were enrolled, 64% were male, 24% were white, and mean age was 46 years. Fifty-three percent were receiving methadone, 47% were receiving buprenorphine, and 80% were receiving opioid agonist treatment for 12 weeks or more. Fourteen percent reported unprotected sex, 7% reported sharing needles or works, and 60% had positive urine toxicology for illicit drug use. Fifteen percent had evidence of HIV resistance by standard genotyping; 7% with single class resistance, 3% with double class resistance, and 5% with triple class resistance. Ultradeep sequencing found additional class resistance in 5 subjects. Twenty-two percent of subjects with evidence of transmission risk behaviors versus 14% of subjects without risk behaviors had evidence of ARV resistance., Conclusions: Improved prevention and treatment efforts may be needed for HIV-infected, opioid dependent individuals receiving opioid agonist treatment to decrease transmission of ARV resistant virus, especially in resource limited settings.

Objectives: To evaluate the risk of virologic failure conferred by suboptimal adherence to nonnucleoside reverse transcriptase inhibitors (NNRTIs) and minority NNRTI resistance mutations., Design: Pooled analysis of the risk of virologic failure conferred by minority NNRTI resistance mutations and NNRTI adherence from three studies of treatment-naïve individuals initiating an NNRTI-based regimen., Methods: Participants from each study were categorized into both adherence quartiles (Q1-Q4) and four strata: at least 95%, 80-94%, 60-79%, and below 60%. Weighted Cox proportional hazard models were used to estimate the risk of virologic failure., Results: The majority of participants (N = 768) had high measured adherence, but those in the lowest adherence quartile had the highest proportion of participants with virologic failure and the risk of virologic failure increased step-wise with adherence below 95%. Detection of minority NNRTI drug resistance mutations increased the proportion of participants with virologic failure across adherence quartiles (Cochran-Mantel-Haenszel P < 0.001) and adherence strata [Cochran-Mantel-Haenszel P < 0.001; <60% adherence, hazard ratio 1.7 (1.1-2.7), P = 0.02; 60-79% adherence, hazard ratio 1.2 (0.5-3.2), P = 0.67; 80-94% adherence, hazard ratio 2.5 (0.98-6.3), P = 0.06; ≥95% adherence, hazard ratio 3.6 (2.3-5.6), P < 0.001]. On multivariate analysis, the effect of minority variants was also most prominent at higher levels of medication adherence., Conclusions: The presence of minority NNRTI resistance mutations and NNRTI adherence were found to be independent predictors of virologic failure, but also modify each other's effects on virologic failure. In addition to the focus on medication adherence counseling, ultrasensitive HIV-1 drug resistance assays could play a role in optimizing the success rates of first-line antiretroviral therapy.

Failure of antiretroviral regimens containing elvitegravir (EVG) and raltegravir (RAL) can result in the appearance of integrase inhibitor (INI) drug-resistance mutations (DRMs). While several INI DRMs have been identified, the evolution of EVG DRMs and the linkage of these DRMs with protease inhibitor (PI) and reverse transcriptase inhibitor (RTI) DRMs have not been studied at the clonal level. We examined the development of INI DRMs in 10 patients failing EVG-containing regimens over time, and the linkage of INI DRMs with PI and RTI DRMs in these patients plus 6 RAL-treated patients. A one-step RT-nested PCR protocol was used to generate a 2.7 kB amplicon that included the PR, RT, and IN coding region, and standard cloning and sequencing techniques were used to determine DRMs in 1,277 clones (mean 21 clones per time point). Results showed all patients had multiple PI, NRTI, and/or NNRTI DRMs at baseline, but no primary INI DRM. EVG-treated patients developed from 2 to 6 strains with different primary INI DRMs as early as 2 weeks after initiation of treatment, predominantly as single mutations. The prevalence of these strains fluctuated and new strains, and/or strains with new combinations of INI DRMs, developed over time. Final failure samples (weeks 14 to 48) typically showed a dominant strain with multiple mutations or N155H alone. Single N155H or multiple mutations were also observed in RAL-treated patients at virologic failure. All patient strains showed evidence of INI DRM co-located with single or multiple PI and/or RTI DRMs on the same viral strand. Our study shows that EVG treatment can select for a number of distinct INI-resistant strains whose prevalence fluctuates over time. Continued appearance of new INI DRMs after initial INI failure suggests a potent, highly dynamic selection of INI resistant strains that is unaffected by co-location with PI and RTI DRMs.

Background: It is unknown whether HIV-positive patients experiencing virologic failure (VF) on boosted-PI (PI/r) regimens without drug resistant mutations (DRM) by standard genotyping harbor low-level PI resistant variants. CASTLE compared the efficacy of atazanavir/ritonavir (ATV/r) with lopinavir/ritonavir (LPV/r), each in combination with TVD in ARV-naïve subjects., Objective: To determine if VF on an initial PI/r-based regimen possess low-level resistant variants that may affect a subsequent PI-containing regimen., Methods/results: Patients experiencing VF on a Tenofovir/Emtricitabine+PI/r regimen were evaluated by ultra deep sequencing (UDS) for mutations classified/weighted by Stanford HIVdb. Samples were evaluated for variants to 0.4% levels. 36 VF subjects were evaluated by UDS; 24 had UDS for PI and RT DRMs. Of these 24, 19 (79.2%) had any DRM by UDS. The most common UDS-detected DRM were NRTI in 18 subjects: M184V/I (11), TAMs(7) & K65R(4); PI DRMs were detected in 9 subjects: M46I/V(5), F53L(2), I50V(1), D30N(1), and N88S(1). The remaining 12 subjects, all with VLs<10,000, had protease gene UDS, and 4 had low-level PI DRMs: F53L(2), L76V(1), I54S(1), G73S(1). Overall, 3/36(8.3%) subjects had DRMs identified with Stanford-HIVdb weights >12 for ATV or LPV: N88S (at 0.43% level-mutational load 1,828) in 1 subject on ATV; I50V (0.44%-mutational load 110) and L76V (0.52%-mutational load 20) in 1 subject each, both on LPV. All VF samples remained phenotypically susceptible to the treatment PI/r., Conclusion: Among persons experiencing VF without PI DRMs with standard genotyping on an initial PI/r regimen, low-level variants possessing major PI DRMs were present in a minority of cases, occurred in isolation, and did not result in phenotypic resistance. NRTI DRMs were detected in a high proportion of subjects. These data suggest that PIs may remain effective in subjects experiencing VF on a PI/r-based regimen when PI DRMs are not detected by standard or UDS genotyping.

Context: Presence of low-frequency, or minority, human immunodeficiency virus type 1 (HIV-1) drug resistance mutations may adversely affect response to antiretroviral treatment (ART), but evidence regarding the effects of such mutations on the effectiveness of first-line ART is conflicting., Objective: To evaluate the association of preexisting drug-resistant HIV-1 minority variants with risk of first-line nonnucleoside reverse transcriptase inhibitor (NNRTI)-based antiretroviral virologic failure., Data Sources: Systematic review of published and unpublished studies in PubMed (1966 through December 2010), EMBASE (1974 through December 2010), conference abstracts, and article references. Authors of all studies were contacted for detailed laboratory, ART, and adherence data., Study Selection and Data Abstraction: Studies involving ART-naive participants initiating NNRTI-based regimens were included. Participants were included if all drugs in their ART regimen were fully active by standard HIV drug resistance testing. Cox proportional hazard models using pooled patient-level data were used to estimate the risk of virologic failure based on a Prentice weighted case-cohort analysis stratified by study., Data Synthesis: Individual data from 10 studies and 985 participants were available for the primary analysis. Low-frequency drug resistance mutations were detected in 187 participants, including 117 of 808 patients in the cohort studies. Low-frequency HIV-1 drug resistance mutations were associated with an increased risk of virologic failure (hazard ratio (HR], 2.3 [95% confidence interval {CI}, 1.7-3.3]; P < .001) after controlling for medication adherence, race/ethnicity, baseline CD4 cell count, and plasma HIV-1 RNA levels. Increased risk of virologic failure was most strongly associated with minority variants resistant to NNRTIs (HR, 2.6 [95% CI, 1.9-3.5]; P < .001). Among participants from the cohort studies, 35% of those with detectable minority variants experienced virologic failure compared with 15% of those without minority variants. The presence of minority variants was associated with 2.5 to 3 times the risk of virologic failure at either 95% or greater or less than 95% overall medication adherence. A dose-dependent increased risk of virologic failure was found in participants with a higher proportion or quantity of drug-resistant variants., Conclusion: In a pooled analysis, low-frequency HIV-1 drug resistance mutations, particularly involving NNRTI resistance, were significantly associated with a dose-dependent increased risk of virologic failure with first-line ART.

Background: CASTLE compared the efficacy of atazanavir/ritonavir with lopinavir/ritonavir, each in combination with tenofovir-emtricitabine in ARV-naïve subjects from 5 continents., Objectives: Determine the baseline rate and clinical significance of TDR mutations using ultra-deep sequencing (UDS) in ARV-naïve subjects in CASTLE., Methods: A case control study was performed on baseline samples for all 53 subjects with virologic failures (VF) at Week 48 and 95 subjects with virologic successes (VS) randomly selected and matched by CD4 count and viral load. UDS was performed using 454 Life Sciences/Roche technology., Results: Of 148 samples, 141 had successful UDS (86 subtype B, 55 non-B subtypes). Overall, 30.5% of subjects had a TDR mutation at baseline; 15.6% only had TDR(s) at <20% of the viral population. There was no difference in the rate of TDRs by B (30.2%) or non-B subtypes (30.9%). VF (51) and VS (90) had similar rates of any TDRs (25.5% vs. 33.3%), NNRTI TDRs (11.1% vs.11.8%) and NRTI TDRs (24.4% vs. 25.5%). Of 9 (6.4%) subjects with M184V/I (7 at <20% levels), 6 experienced VF. 16 (11.3%) subjects had multiple TAMs, and 7 experienced VF. 3 (2.1%) subjects had both multiple TAMs+M184V, and all experienced VF. Of 14 (9.9%) subjects with PI TDRs (11 at <20% levels): only 1 experienced virologic failure. The majority of PI TDRs were found in isolation (e.g. 46I) at <20% levels, and had low resistance algorithm scores., Conclusion: Among a representative sample of ARV-naïve subjects in CASTLE, TDR mutations were common (30.5%); B and non-B subtypes had similar rates of TDRs. Subjects with multiple PI TDRs were infrequent. Overall, TDRs did not affect virologic response for subjects on a boosted PI by week 48; however, a small subset of subjects with extensive NRTI backbone TDR patterns experienced virologic failure.

Background: It is largely unknown how frequently low-abundance HIV drug-resistant variants at levels under limit of detection of conventional genotyping (<20% of quasi-species) are present in antiretroviral-experienced persons experiencing virologic failure. Further, the clinical implications of low-abundance drug-resistant variants at time of virologic failure are unknown., Methodology/principal Findings: Plasma samples from 22 antiretroviral-experienced subjects collected at time of virologic failure (viral load 1380 to 304,000 copies/mL) were obtained from a specimen bank (from 2004-2007). The prevalence and profile of drug-resistant mutations were determined using Sanger sequencing and ultra-deep pyrosequencing. Genotypes were interpreted using Stanford HIV database algorithm. Antiretroviral treatment histories were obtained by chart review and correlated with drug-resistant mutations. Low-abundance drug-resistant mutations were detected in all 22 subjects by deep sequencing and only in 3 subjects by Sanger sequencing. In total they accounted for 90 of 247 mutations (36%) detected by deep sequencing; the majority of these (95%) were not detected by standard genotyping. A mean of 4 additional mutations per subject were detected by deep sequencing (p<0.0001, 95%CI: 2.85-5.53). The additional low-abundance drug-resistant mutations increased a subject's genotypic resistance to one or more antiretrovirals in 17 of 22 subjects (77%). When correlated with subjects' antiretroviral treatment histories, the additional low-abundance drug-resistant mutations correlated with the failing antiretroviral drugs in 21% subjects and correlated with historical antiretroviral use in 79% subjects (OR, 13.73; 95% CI, 2.5-74.3, p = 0.0016)., Conclusions/significance: Low-abundance HIV drug-resistant mutations in antiretroviral-experienced subjects at time of virologic failure can increase a subject's overall burden of resistance, yet commonly go unrecognized by conventional genotyping. The majority of unrecognized resistant mutations correlate with historical antiretroviral use. Ultra-deep sequencing can provide important historical resistance information for clinicians when planning subsequent antiretroviral regimens for highly treatment-experienced patients, particularly when their prior treatment histories and longitudinal genotypes are not available.

Background: Minor (i.e., <20% prevalence) drug-resistant human immunodeficiency virus (HIV) variants may go undetected, yet be clinically important., Objectives: To compare the prevalence of drug-resistant variants detected with standard and ultra-deep sequencing (detection down to 1% prevalence) and to determine the impact of minor resistant variants on virologic failure (VF)., Methods: The Flexible Initial Retrovirus Suppressive Therapies (FIRST) Study (N = 1397) compared 3 initial antiretroviral therapy (ART) strategies. A random subset (n = 491) had baseline testing for drug-resistance mutations performed by use of standard sequencing methods. Ultra-deep sequencing was performed on samples that had sufficient viral content (N = 264). Proportional hazards models were used to compare rates of VF for those who did and did not have mutations identified., Results: Mutations were detected by standard and ultra-deep sequencing (in 14% and 28% of participants, respectively; P < .001). Among individuals who initiated treatment with an ART regimen that combined nucleoside and nonnucleoside reverse-transcriptase inhibitors (hereafter, "NNRTI strategy"), all individuals who had an NNRTI-resistance mutation identified by ultra-deep sequencing experienced VF. When these individuals were compared with individuals who initiated treatment with the NNRTI strategy but who had no NNRTI-resistance mutations, the risk of VF was higher for those who had an NNRTI-resistance mutation detected by both methods (hazard ratio [HR], 12.40 [95% confidence interval {CI}, 3.41-45.10]) and those who had mutation(s) detected only with ultra-deep sequencing (HR, 2.50 [95% CI, 1.17-5.36])., Conclusions: Ultra-deep sequencing identified a significantly larger proportion of HIV-infected, treatment-naive persons as harboring drug-resistant viral variants. Among participants who initiated treatment with the NNRTI strategy, the risk of VF was significantly greater for participants who had low- and high-prevalence NNRTI-resistant variants.

Background: Treatment-naïve participants were randomized to three antiretroviral strategies (all with nucleoside reverse transcriptase inhibitor [NRTI] background): protease inhibitor (PI), non-nucleoside reverse transcriptase inhibitor (NNRTI), or PI+NNRTI. The strategies were compared for drug resistance at first virologic failure (VF; HIV RNA >1000 copies/mL). The impact of resistance on AIDS or death was determined., Method: Drug resistance was determined by genotype. Cox models were used to compare the strategies for VF with resistance and to determine the impact of resistance on AIDS or death., Results: Of 1,360 participants, 866 experienced VF; 226 experienced AIDS or death (median follow-up 5 years). Rates (per 100 personyears) for VF with resistance were 14.9 (PI), 10.8 (NNRTI), and 11.5 (PI+NNRTI); hazard ratio (HR) was 0.78 (95% CI 0.61-0.99) for NNRTI versus PI. Compared to those with no VF, there was a significantly increased risk of AIDS or death for participants with solitary NNRTI resistance (HR 2.31, 95% CI 1.46-3.66) and for those failing with no known resistance (HR 1.78, 95% CI 1.18-2.68). Participants failing with solitary NNRTI resistance and with no resistance had the lowest percent of time on antiretroviral treatment (ART) and the lowest cumulative mean adherence scores., Conclusion: For treatment-naïve participants, the risk of AIDS or death is increased for those who failed virologically with solitary NNRTI resistance and those who failed with no known drug resistance compared to those with no virologic failure. Both the lack of ART exposure in nonadherent participants and the development of NNRTI resistance among those who take and fail their ART regimen predict poor clinical outcomes.

Purpose: The outdated rules of older HIV genotypic resistance algorithms can affect virologic responses. This study was designed to determine how often these incorrect resistance interpretations affect analyses of long-term clinical trials, antiretroviral (ARV) choices, and HIV disease progression rates., Method: Baseline VIRCO virtual phenotypes (VVP) from patients screened in 2001-2002 for OPTIMA were compared to 2005 Stanford HIV resistance database algorithm (HIVDB-10/05, version 4.1.4) interpretations of the HIV-1 pol sequences. Drugs were called discordant if resistant by one algorithm and sensitive by the other., Results: Of 2,341 drug comparisons, 501 (21.4%) were discordant, affecting 140 (86.4%) of 162 screened patients. NRTI/NtRTIs were more discordant than NNRTIs and PIs (38.6% vs. 4.3% vs. 12.8%; p < .0001). Sixty-nine (53%) patients were placed on 2 drugs reported as sensitive by VVP but resistant by HIVDB-10/05; they had higher than expected rates of disease progression and a similar time to first event or death as patients on ARVs classified as resistant by both algorithms (p = .61)., Conclusions: Underestimation of drug resistance by older genotypic algorithms resulted in using ARVs incorrectly thought to be sensitive and in higher than expected rates of HIV disease progression. The use of older genotypes to interpret long-term clinical trials should account for this underestimation, because results may be different if viral sequences are interpreted with newer algorithms.

Background: Two inhibitors of the HIV-1 integrase enzyme (INIs) are in late stage clinical development. To date, approximately 42 mutations within the HIV-1 integrase (IN) gene have been associated with INI drug resistance. Naturally occurring IN gene polymorphisms may have important implications for INI development. In this study, we evaluated clinical HIV-1 strains from INI-naive patients to determine the prevalence of IN gene polymorphisms, and the frequency of naturally occurring amino acid (aa) substitutions at positions associated with INI resistance and at sites crucial for LEDGF/p75 binding and HIV-1 integration., Methods: The IN gene from 67 INI-naive, HIV-1 clade B-infected patients were sequenced using standard population-based DNA sequencing methods. In addition, 176 unique full-length HIV-1 clade B IN gene sequences from INI-naive patients obtained from the HIV Los Alamos database were analysed., Results: Analysis of 243 IN genes from HIV-1 clade B, INI-naive clinical strains revealed that 64% of the aa positions were polymorphic. Of the 42 aa substitutions currently associated with INI resistance, 21 occurred as natural polymorphisms: V72I, L74I, T97A, T112I, A128T, E138K, Q148H, V151I, S153Y/A, M154I, N155H, K156N, E157Q, G163R, V165I, V201I, I203M, T206S, S230N and R263K. IN aa positions crucial to LEDGF/P75 binding and HIV-1 integration were well conserved., Conclusion: Major INI mutations within the catalytic domain and extended active sites associated with high level resistance to the compounds in late stage development, especially strand transfer inhibitors (STIs), were infrequent in our study, which may help explain the excellent virological responses demonstrated in clinical trials.

Background: The prevalence of drug resistance among persons with newly acquired human immunodeficiency virus (HIV) infection is well documented. However, it is unclear to what extent these mutations persist in chronically infected, treatment-naive patients., Methods: Prevalence of and factors associated with genotypic drug resistance were analyzed retrospectively in a subset of 491 chronically HIV-infected, antiretroviral-naive patients enrolled at 25 cities in the Terry Beirn Community Programs for Clinical Research on Acquired Immune Deficiency Syndrome (AIDS) Flexible Initial Retrovirus Suppressive Therapies trial during 1999-2001. Resistance was defined on the basis of the International AIDS Society 2003 definition, as well as the presence of additional mutations at codons 215 (C/D/E/S) and 69 (A/N/S) in the pol gene. Prevalence of mutations was estimated by use of techniques for stratified random samples. Logistic regression models were used to determine factors associated with resistance., Results: Among the 491 chronically HIV-infected patients (mean CD4 cell count, 269 cells/mm(3); 31% of patients had a prior AIDS diagnosis), 57 (11.6%) had >or=1 resistance mutation, resulting in an estimated prevalence for the cohort of 10.8% (95% confidence interval [CI], 9.5%-12.1%). The prevalence was 8.8% if the 118I mutation was excluded. By drug class, the estimated prevalence of mutations conferring resistance to nucleoside reverse-transcriptase inhibitors was 7.8%, and the prevalence was 3.0% for nonnucleoside reverse-transcriptase inhibitors and 0.7% for protease inhibitors. In a multiple logistic regression analysis, non-Hispanic white subjects were twice as likely than African American subjects to have resistance (odds ratio [OR], 2.1; 95% CI, 1.1-4.1; P=.03), and there was a 40% increase per year in prevalence of mutations by later year of enrollment (OR, 1.4; 95% CI, 1.0-2.1; P=.05)., Conclusions: These results demonstrate the persistence of drug resistance mutations in chronically HIV-infected patients and an increasing prevalence of resistance over time, and they support genotyping of virus at baseline for chronically HIV-infected patients.

Acquired resistance to antiretroviral agents is an established sequela of HIV pharmacotherapy. Viral mutations can confer reduced susceptibility to antiretroviral medications, resulting in virologic and clinical failure in more than half of treated patients. Cross-resistance that can develop within each drug class leads to the progressive loss of future therapeutic options for individual patients. Although protease inhibitors (PIs) are a potent class of antiretrovirals, resistance can still develop rapidly, and multiple-PI resistance has become a serious, growing clinical problem. Development of rational treatment strategies that recognize specific patterns of cross-resistance among PIs are needed to help clinicians choose the most appropriate PI. Rational sequencing of PI use should be based on genotypic and phenotypic resistance testing. Maintaining higher drug plasma levels or using specific PI combinations may also diminish PI cross-resistance. New agents that are less likely to induce or be susceptible to cross-resistance will be of value in HIV treatment. This article reviews the acquisition of resistance to currently available PIs, discussing the drug-specific mutational patterns and evidence of clinical cross-resistance. The resistance profiles of two newer PIs, atazanavir and tipranavir, are also presented.