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1.  Large disparities in HIV treatment cascades between eight European and high-income countries – analysis of break points 
Journal of the International AIDS Society  2014;17(4Suppl 3):19507.
Patients on antiretroviral treatment with undetectable HIV RNA levels have a significantly lower risk of clinical disease progression and onward HIV transmission. This study aimed to estimate and compare the percentage of all HIV-positive people who are diagnosed, are linked to care, are taking antiretroviral treatment and have undetectable HIV RNA, in eight European and high-income countries: the United States, the United Kingdom, France, the Netherlands, Denmark, Australia, British Columbia (Canada) and Georgia.
Materials and Methods
For each country, the number of people in five key stages of the HIV treatment cascade was collected: 1. HIV infected, 2. Known to be HIV positive, 3. Linked to care, 4. Taking antiretroviral treatment, and 5. Having undetectable HIV RNA. Estimates were extracted from national reports [1–3], the UNAIDS database, conference proceedings [4] and peer-reviewed articles [5–7]. The quality of the estimates and reporting methods were assessed individually for each country, with selection criteria such as availability of nationwide database and routinely collected data. Treatment cascades were constructed using estimates from 2010 to 2012.
As shown in Table 1, the percentage of all infected people with undetectable HIV RNA ranged from 20% in Georgia to 59% in Denmark. Of the high-income countries, the United States has the lowest percentage of individuals with undetectable viral load (25% to median 52%), associated with the highest HIV incidence rate (15.30 per 100,000 to median 6.07 per 100,000). The pattern of the cascades differed between countries: in the United States, there is a fall from 66% to 33% (−33%) between linkage to care and start of antiretroviral treatment. However, in Georgia, the greatest loss in continuum was zat diagnosis, with 48% of undiagnosed HIV-positive individuals.
There are great disparities among European and high-income countries in the percentage of HIV-positive individual with undetectable HIV RNA. Furthermore, the treatment cascades show different key break points, underlying inequalities in HIV care between countries.
PMCID: PMC4224795  PMID: 25394016
2.  Acceptance rate of clinical study endpoints and adequacy of source documentation: experience from clinical study endpoint review in NEAT001/ANRS143 
Journal of the International AIDS Society  2014;17(4Suppl 3):19572.
NEAT001/ANRS143 was an open-label, randomized, non-inferiority study comparing raltegravir+darunavir/r(RGV+DRV/r) vs. tenofovir/emtricitabine+darunavir/r (TDF/FTC+DRV/r) in HIV-infected antiretroviral naïve adults. Primary efficacy outcome was a composite of virological and clinical events by week 96.
Materials and Methods
Clinical trial units collected and translated supporting documentation (SD) related to the investigator-reported events. A coordinator checked events and SD for consistency and completeness. The Endpoint Review Committee (ERC) determined if clinical events met pre-defined diagnostic criteria in categories “confirmed” or “probable”. The ERC of 12 experienced, independent clinicians served in groups of three conducting individual reviews in writing, blinded to treatment arm. Differences of opinion were adjudicated in a second review by direct dialogue between reviewers. “Confirmed” events required adequate SD like laboratory, radiographic or pathology diagnostic reports. “Probable” events were typically based on clinical criteria.
Of the 164 serious and 3,964 adverse events reported in the study, 133 qualified for endpoint review, for a total of 153 adjudications:
Sixty of 111 per protocol endpoints were confirmed (n=53) or probable (n=7), which equals an acceptance rate of 54%. In two confirmed cases, SD was partly adequate and evaluation uncertain. Of 51 rejected events, 13 had insufficient SD, two were recurrent events. The rate of rejected events was comparable between treatments with 41% rejected events in the RGV+DRV/r arm compared to 52% in the TDF/FTC+DRV/r arm. The IRIS acceptance rate was low (3 of 18), demonstrating the difference in perception of IRIS in daily patient management and the stricter protocol definition.
Blinded endpoint review prevented unacceptably high false positive event rates documenting that real-time ascertainment of clinical endpoints is crucial for appropriateness of the overall results. Non-confirmed events jeopardize the statistical power in this and probably all kinds of clinical studies. The rejection rate was not indicative of poor study conduct – on the contrary over-reporting prevented missing events, which would have adversely impacted the trial. Adequacy of SD and investigator training on possible differences in event criteria in daily pragmatic clinical management compared to protocol defined criteria is essential.
PMCID: PMC4224823  PMID: 25394079
3.  Predicted savings to the UK National Health Service from switching to generic antiretrovirals, 2014–2018 
Journal of the International AIDS Society  2014;17(4Suppl 3):19497.
In other disease areas, generic drugs are normally used after patent expiry. Patents on zidovudine, lamivudine, nevirapine and efavirenz have already expired. Patents will expire for abacavir in late 2014, lopinavir/r in 2016, and tenofovir, darunavir and atazanavir in 2017. However, patents on single-tablet regimens do not expire until after 2026.
The number of people taking each antiretroviral in the UK was estimated from 23,655 individuals in the UK CHIC cohort (2012 database). Costs of patented drugs were taken from the British National Formulary database, assuming a 30% discount. Costs of generic antiretrovirals were estimated using an 80% discount from patented prices, or actual costs where available. Two options were analysed: 1 – all patients use single-tablet regimens and patented versions of drugs; prices remain stable over time; 2 – all people switch from patented to generic drugs when available, after patent expiry (dates shown above).
There were an estimated 67,000 people taking antiretrovirals in the UK in 2014, estimated to rise by 8% per year until 2018 (in line with previous rises). The most widely used antiretrovirals in the CHIC cohort were tenofovir (TDF) (75%), emtricitabine (FTC) (69%), efavirenz (EFV) (39%), lamivudine (3TC) (23%), abacavir (ABC) (18%), darunavir (DRV) (21%) and atazanavir (ATV) (16%). The predicted annual UK cost of generic ABC/3TC/EFV (three generic tablets once daily) was £1018 per person-year. Costs of patented single-tablet regimens ranged from £5000 to £7500 per person-year. Assuming continued use of patented antiretrovirals in the UK, the predicted total national costs of antiretroviral treatment were predicted to rise from £425 million in 2014 to £459 m in 2015, £495 m in 2016, £536 m in 2017 and £578 m in 2018. With a 100% switch to generics, total predicted costs were £337 m in 2014, £364 m in 2015, £382 m in 2016, £144 m in 2017 and £169 m in 2018. The total predicted saving over five years from a switch to generics was £1.1 billion.
Systematic switching from patented to generic antiretrovirals could potentially save approximately £1.1 billion in the UK over the next five years, compared with continued use of patented versions: this money could be spent on urgently needed HIV prevention programmes. Similar savings are feasible for other European countries, given parallel patent expiry dates. More detailed economic evaluation is required to show when patented single-tablet regimens provide value for money, compared to bioequivalent generic versions of 3–4 pills once daily.
PMCID: PMC4224875  PMID: 25394006
4.  Should the dose of tenofovir be reduced to 200–250 mg/day, when combined with protease inhibitors? 
Journal of the International AIDS Society  2014;17(4Suppl 3):19583.
The approved dose of tenofovir disproxil fumarate, 300 mg once daily, was established in clinical trials in combination with efavirenz, which does not significantly affect tenofovir concentrations. Combining tenofovir with lopinavir/r, darunavir/r or atazanavir/r increases tenofovir concentrations, which could raise the risk of renal adverse events. Newly approved tenofovir tablets are available at lower strength (200 or 250 mg) for use in paediatrics.
A literature search was used to assess the effects of lopinavir/r, darunavir/r and atazanavir/r on tenofovir plasma Cmax, AUC and Cmin (Geometric Mean Ratio and 90% confidence intervals). Assuming linear dose-proportional pharmacokinetics (as observed in dose-ranging studies), the 250 mg tablet was predicted to achieve plasma concentrations 17% lower than the 300 mg dose, and the 200 mg tablet to achieve plasma levels 33% lower. Effects on tenofovir plasma Cmax, AUC and Cmin concentrations were assessed for combined dosing of each protease inhibitor with 250 or 200 mg daily doses of tenofovir, versus standard dose tenofovir (300 mg daily) without protease inhibitors.
In drug-drug interaction studies, lopinavir/ritonavir significantly increased tenofovir Cmax, AUC and Cmin. Effects of each PI on tenofovir Cmin were greater than effects on Cmax or AUC. Using a 250 mg paediatric dose of tenofovir with lopinavir/ritonavir, tenofovir Cmin was predicted to remain higher than tenofovir 300 mg used with efavirenz (GMR=1.26, 95% CI 1.14–1.38). Similar results were observed for use of tenofovir 250 mg with atazanavir/ritonavir (GMR=1.07, 95% CI 1.01–1.13) and with darunavir/ritonavir (GMR=1.14, 95% CI 0.99–1.31). Predicted tenofovir AUC levels for the 250 mg dose with protease inhibitors were all within the bioequivalence range, relative to use with efavirenz. Using a 200 mg paediatric dose of tenofovir with lopinavir/ritonavir, the tenofovir Cmin was predicted to be bioequivalent to tenofovir 300 mg used with efavirenz (GMR=1.02, 95% CI 0.92–1.11). Similar results were observed for use of tenofovir 200 mg with atazanavir/ritonavir (GMR=0.86, 95% CI 0.82–0.91) and with darunavir/ritonavir (GMR=0.92, 95% CI 0.80–1.05). All three results were within the bioequivalence limits of 0.8–1.25.
Use of approved paediatric doses of tenofovir (200–250 mg once daily) in combination with lopinavir/r,darunavir/r or atazanavir/r could compensate for known drug interactions. This dose modification could potentially improve renal safety.
PMCID: PMC4224934  PMID: 25394089
5.  Detection of resistance mutations and CD4 slopes in individuals experiencing sustained virological failure 
Journal of the International AIDS Society  2014;17(4Suppl 3):19737.
Several resistance mutations have been shown to affect viral fitness, and the presence of certain mutations might result in clinical benefit for patients kept on a virologically failing regimen due to an exhaustion of drug options. We sought to quantify the effect of resistance mutations on CD4 slopes in patients undergoing episodes of viral failure.
Materials and Methods
Patients from the EuroSIDA and UK CHIC cohorts undergoing at least one episode of virological failure (>3 consecutive RNA measurements >500 on ART) with at least three CD4 measurements and a resistance test during the episode were included. Mutations were identified using the IAS-US (2013) list, and were presumed to be present from detection until the end of an episode. Multivariable linear mixed models with a random intercept and slope adjusted for age, baseline CD4 count, hepatitis C, drug type, RNA (log-scale), risk group and subtype were used to estimate CD4 slopes. Individual mutations with a population prevalence of >10% were tested for their effect on the CD4 slope.
A total of 2731 patients experiencing a median of 1 (range 1–4) episodes were included in this analysis. The prevalence of any resistance per episode was 88.4%; NNRTI resistance was most common (78.5%). Overall, CD4 counts declined by 17.1 (−19.7; −14.5) cells per year; this decline was less marked with partial viral suppression (current HIV RNA more than 1.5 log below the setpoint; p=0.01). In multivariable models adjusting for viral load, CD4 decline was slower during episodes with detected resistance compared to episodes without detected resistance (21.0 cells/year less, 95% CI 11.75–30.31, p<0.001). Among those with more than one resistance mutation, there was only weak evidence that class-specific mutations had any effect on the CD4 slope (Table 1). The effects of individual mutations (incl. M184V) were explored, but none were significantly associated with the CD4 slope; for these comparisons, a Bonferroni-corrected p-value level was 0.003.
In our study population, detected resistance was associated with slightly less steep CD4 declines. This may be due to a biological effect of resistance on CD4 slopes, or other unmeasured factors such as poor adherence among individuals without resistance. Among individuals with detected drug resistance, we found no evidence suggesting that the presence of individual mutations was associated with beneficial CD4 slope changes.
PMCID: PMC4225350  PMID: 25397482
6.  Transmitted antiretroviral drug resistance in treatment naïve HIV-infected persons in London in 2011 to 2013 
Journal of the International AIDS Society  2014;17(4Suppl 3):19747.
Previously published UK data on HIV transmitted drug resistance (TDR) shows that it ranges between 3 and 9.4% [1,2]. However, there are no recent data from populations where HIV transmission rates are increasing. The aim of this study was to assess the prevalence of TDR in untreated HIV-infected individuals attending three HIV specialist clinics under the HIV Directorate, Chelsea and Westminster Hospital and based throughout London – the Kobler Clinic, 56 Dean Street and West London Centre for Sexual Health.
We included all patients with a HIV diagnosis, no history of antiretroviral therapy (ART) intake, attending one of the three clinics (Kobler (K), 56 Dean Street (DS) and West London (WL)), between 2011 and 2013 who started antiretrovirals. Reverse transcriptase (RT) and protease region sequencing was performed using Vircotype virtual phenotype resistance analysis. Drug resistance mutations were identified according to Stanford University HIV Drug Resistance Database (
Among 1705 HIV-1-infected patients enrolled in the study, 1252 were males (919 were MSM), 107 were females and 346 had no gender recorded. Ethnicity was 51.1% white British/Irish/other, 6.1% African, 2.1% Caribbean, 2.8% Asian, 1.3% Indian/Pakistani/Bangladeshi, 4.2%, other, 3.2% not stated, and 29.2% unknown. 547 were from K (84.3% males, 48.3% MSM), 826 were from DS (84.3% males, 71.9% MSM), and 109 from WL (87.2% males, 56.0% MSM), 223 from other sites not specified. 77.5% (1321 of 1705) of patients had baseline viral resistance testing performed. Prevalence of primary resistance in those with a baseline viral resistance test was 13.5% overall: 19.3% in K, 14.9% in DS, and 14.7% in WL. The most common mutations detected were: NRTI: 184V, 215F, 41L; NNRTI 103N, 179D, 90I; PI 90M, 46I, and 82A. Among patients who tested with TDR, 79.1% had one single mutation, 18.7% and 2.2% exhibited dual or triple class-resistant viruses, respectively.
This study across a large HIV Medicine Directorate reported an overall TDR prevalence which is higher than that previously published and with significant rates of NNRTI resistance at baseline.
PMCID: PMC4225370  PMID: 25397492
7.  Switch to Stribild versus continuation of NVP or RPV with FTC and TDF in virologically suppressed HIV adults: a STRATEGY-NNRTI subgroup analysis 
Journal of the International AIDS Society  2014;17(4Suppl 3):19793.
Switch to Stribild (STB) was non-inferior to continuation of a non-nucleoside reverse transcriptase inhibitor (NNRTI) with emtricitabine and tenofovir DF (FTC/TDF) at week 48 in virologically suppressed HIV adults [1]. We report the Week 48 efficacy and safety of STB versus nevirapine (NVP) or rilpivirine (RPV) with FTC/TDF in suppressed subjects.
Materials and Methods
Virologically suppressed subjects on an NNRTI with FTC/TDF regimens for ≥6 months were randomized (2:1) to switch to STB versus continue their NNRTI regimen. Eligibility criteria included no documented resistance to FTC and TDF, no history of virologic failure and eGFR ≥70 mL/min. The primary endpoint was the proportion of subjects in the modified ITT population who maintained HIV-1 RNA <50 copies(c)/mL at Week 48 by FDA snapshot algorithm (12% non-inferiority margin). Subgroup analysis by non-EFV NNRTI use (NVP [74]; RPV [19]; etravirine [3]) at screening was pre-specified.
The mITT population included 433 subjects who were randomized and treated. In the non-EFV NNRTI subgroup, 59 switched to STB; 37 continued a non-EFV NNRTI (27 NVP, 10 RPV) with FTC/TDF. At week 48, 97% STB versus 95% non-EFV NNRTI maintained HIV-1 RNA <50 c/mL. No emergent resistance was detected in either group. No difference in median increases from baseline in CD4 count at week 48 (cells/µL): 25 STB versus 55 non-EFV NNRTI (p=0.78). No discontinuation due to adverse events; no cases of proximal renal tubulopathy. As expected, there were no significant changes in the frequency of neuropsychiatric symptoms (i.e. anxiety, insomnia, dizziness, vivid dreams, weird/intense dreams, and nightmares) reported on the HIV Symptom Index at week 48 compared to baseline after switching to STB. There was a greater but non-progressive decrease from baseline in eGFR in the STB versus non-EFV NNRTI group; median changes (mL/min) at week 48: −9.1 versus −1.4. Switch to STB was associated with a higher treatment ease (convenience, flexibility, demand, lifestyle, understanding) score (range: −15 to 15) at week 4 (median: 14 vs 11; p=0.047) and week 24 (median: 14 vs 12.5; p=0.038).
In this small group of virologically suppressed subjects, switch to STB vs continuation of NVP or RPV with FTC/TDF was safe, well-tolerated, and associated with a high rate of virologic suppression at week 48. There was more treatment ease with STB use.
PMCID: PMC4225425  PMID: 25397537
8.  Protease mutations emerging on darunavir in protease inhibitor-naïve and experienced patients in the UK 
Journal of the International AIDS Society  2014;17(4Suppl 3):19739.
Darunavir (DRV) is a preferred agent in treatment guidelines for ART-naïve and experienced patients [1]. It is considered to have a high genetic barrier to resistance and 11 resistance-associated mutations (RAMs) are recognized by IAS-USA [2]. These have largely been identified by analyses examining the correlation between baseline genotype and virological response [3]. However, there is little information on RAMs that are directly selected by DRV, outside of short-term clinical trials. We aimed to identify emerging mutations by comparing the genotypes of individuals before and after DRV exposure.
Materials and Methods
The UK HIV Drug Resistance Database was used to identify patients aged over 16 who had received at least 30 days of a DRV-containing regimen. Patients were included if they had a “baseline” resistance test, prior to DRV exposure, and a “repeat” test, either on DRV or within 30 days of stopping this agent. To avoid attributing the effects of other PIs on emerging RAMs to DRV, patients were excluded if they had received another PI for greater than 90 days between the baseline genotype and the start of DRV. The baseline and repeat tests were compared to determine the nature of mutations stratified by PI history.
A total of 5623 patients had DRV, of whom 306 met the inclusion criteria. A total of 228 (74.5%) were male, median age at the start of DRV was 42 years (IQR 37–47), and half had subtype B infection. The mode of transmission was homosexual contact for 50%, heterosexual for 38%, and 3% were injection drug users. The median CD4 count at the start of DRV was 257 cells/mm3 (IQR 94–453). A total of 149 patients (49%) had a history of PI use prior to DRV, and 157 (51%) were PI-naïve. The most common previous PIs were lopinavir, atazanavir, and saquinavir. Baseline DRV RAMs were present in 1 (0.6%) PI-naïve and 20 (13.4%) PI-experienced patients. Mutations emerged under DRV pressure in a further 3 (1.9%) PI-naïve patients, and in 7 (4.7%) PI-experienced patients, 5 of whom had other DRV RAMs present at baseline (Table 1). The median time from the start of DRV to the repeat test was 196 days for PI-naïve patients and 296 days for PI-experienced.
PI-experienced patients had a greater prevalence of DRV RAMs at baseline than PI-naïve individuals, probably due to the fact that some DRV RAMs can be selected by other PIs. This group also accumulated more RAMs during DRV exposure, possibly because previous PIs had caused minority variants which then emerged on DRV therapy. Overall, only 10 patients accumulated 16 RAMs, which supports the perception that DRV has a high genetic barrier to resistance. Repeat genotyping in the case of virological failure on DRV may still be warranted to detect emerging resistance and guide management decisions.
PMCID: PMC4225433  PMID: 25397484
9.  Effect of Maraviroc Intensification on HIV-1-Specific T Cell Immunity in Recently HIV-1-Infected Individuals 
PLoS ONE  2014;9(1):e87334.
The effect of maraviroc on the maintenance and the function of HIV-1-specific T cell responses remains unknown.
Subjects recently infected with HIV-1 were randomized to receive anti-retroviral treatment with or without maraviroc intensification for 48 weeks, and were monitored up to week 60. PBMC and in vitro-expanded T cells were tested for responses to the entire HIV proteome by ELISpot analyses. Intracellular cytokine staining assays were conducted to monitor the (poly)-functionality of HIV-1-specific T cells. Analyses were performed at baseline and week 24 after treatment start, and at week 60 (3 months after maraviroc discontinuation).
Maraviroc intensification was associated with a slower decay of virus-specific T cell responses over time compared to the non-intensified regimen in both direct ex-vivo as well as in in-vitro expanded cells. The effector function profiles of virus-specific CD8+ T cells were indistinguishable between the two arms and did not change over time between the groups.
Maraviroc did not negatively impact any of the measured parameters, but was rather associated with a prolonged maintenance of HIV-1-specific T cell responses. Maraviroc, in addition to its original effect as viral entry inhibitor, may provide an additional benefit on the maintenance of virus-specific T cells which may be especially important for future viral eradication strategies.
PMCID: PMC3903883  PMID: 24475275
10.  Potential Impact of a Free Online HIV Treatment Response Prediction System for Reducing Virological Failures and Drug Costs after Antiretroviral Therapy Failure in a Resource-Limited Setting 
BioMed Research International  2013;2013:579741.
Objective. Antiretroviral drug selection in resource-limited settings is often dictated by strict protocols as part of a public health strategy. The objective of this retrospective study was to examine if the HIV-TRePS online treatment prediction tool could help reduce treatment failure and drug costs in such settings. Methods. The HIV-TRePS computational models were used to predict the probability of response to therapy for 206 cases of treatment change following failure in India. The models were used to identify alternative locally available 3-drug regimens, which were predicted to be effective. The costs of these regimens were compared to those actually used in the clinic. Results. The models predicted the responses to treatment of the cases with an accuracy of 0.64. The models identified alternative drug regimens that were predicted to result in improved virological response and lower costs than those used in the clinic in 85% of the cases. The average annual cost saving was $364 USD per year (41%). Conclusions. Computational models that do not require a genotype can predict and potentially avoid treatment failure and may reduce therapy costs. The use of such a system to guide therapeutic decision-making could confer health economic benefits in resource-limited settings.
PMCID: PMC3794568  PMID: 24175292
11.  Pharmacokinetic analysis to assess forgiveness of boosted saquinavir regimens for missed or late dosing 
One potential concern of once-daily protease inhibitor administration is low trough concentrations and ultimately the ‘forgiveness’ or robustness in comparison with the originally licensed twice-daily dose. To give an estimation of ‘forgiveness’, we determined the length of time plasma drug concentrations were below target in HIV-infected patients receiving saquinavir/ritonavir regimens.
Seventy-seven pharmacokinetic profiles (saquinavir/ritonavir 1000/100 mg twice daily, n = 34; 1600/100 mg once daily, n = 26; 2000/100 mg once daily, n = 17) from five studies were combined, presented as twice- and once-daily percentiles (P10–P90) and compared. At percentiles where trough concentrations fell below the alleged minimum effective concentration (MEC; 100 ng/mL), the length of time below MEC was determined.
Saquinavir concentrations were below MEC at P10 for 0.7 h for twice-daily saquinavir/ritonavir when compared with 8.6 and 6.6 h for 1600/100 and 2000/100 mg once daily, respectively. At P25, 1600/100 mg once daily produced suboptimal concentrations for 5.5 h in contrast to 0.5 h for 2000/100 mg once daily.
Here, we provide substantive data that indicate once-daily saquinavir, in particular 1600/100 mg, is not as robust as the twice-daily regimen based on a population of UK patients; this raises concern over late or missed doses. However, pharmacokinetic data can only ever be a guide to the impact on long-term efficacy.
PMCID: PMC3672987  PMID: 18467305
HIV; pharmacokinetics; once daily; robustness
12.  Population pharmacokinetics of ritonavir-boosted saquinavir regimens in HIV-infected individuals 
The aim of this study was to develop and validate a population pharmacokinetic model in order to describe ritonavir-boosted saquinavir concentrations dosed twice and once daily in human immunodeficiency virus (HIV)-infected patients from the UK, Uganda and Thailand and to identify factors that may influence saquinavir pharmacokinetics.
Pharmacokinetic data from 10 clinical studies were combined. Non-linear mixed effects modelling (NONMEM version V) was applied to determine the saquinavir pharmacokinetic parameters, interindividual/interoccasion variability (IIV/IOV) and residual error. Various covariates potentially related to saquinavir pharmacokinetics were explored, and the final model was validated by means of 95% prediction interval and testing the predictive performance of the model with data not included in the model-building process.
Ninety-seven patients were included from the UK (n = 52), Uganda (n = 18) and Thailand (n = 27), contributing 347 saquinavir profiles (1–14 profiles per patient). A one-compartment model with zero-order absorption and lag-time best described the data with IIV/IOV on apparent oral clearance (CL/F) and volume of distribution (V/F) and with IIV on duration and absorption lag-time. The ritonavir area under the curve over the dosing interval was significantly associated with saquinavir CL/F and V/F. A typical patient from the UK had ~1.5- and 3-fold higher saquinavir CL/F compared with patients from Uganda (89.0 versus 49.8 L/h) and Thailand (89.0 versus 26.7 L/h), respectively.
A model to characterize ritonavir-boosted saquinavir pharmacokinetics in HIV-infected adults has been developed and validated. The model could be used for dosage adaptation following therapeutic drug monitoring and to assess patients’ suitability for once-daily boosted saquinavir therapy.
PMCID: PMC3597129  PMID: 18824460
NONMEM; UK; Uganda; Thailand; variability
13.  Lower Healthcare Costs Associated with the Use of a Single-Pill ARV Regimen in the UK, 2004–2008 
PLoS ONE  2012;7(10):e47376.
Investigate the cost and effects of a single-pill versus two- or three pill first-line antiretroviral combinations in reducing viral load, increasing CD4 counts, and first-line failure rate associated with respective regimens at 6 and 12 months.
Patients on first-line TDF+3TC+EFV, TDF+FTC+EFV, Truvada®+EFV or Atripla® between 1996–2008 were identified and viral load and CD4 counts measured at baseline, six and twelve months respectively. Factors that independently predicted treatment failure at six and twelve months were derived using multivariate Cox's proportional hazard regression analyses. Use and cost of hospital services were calculated at six and twelve months respectively.
All regimens reduced viral load to below the limit of detection and CD4 counts increased to similar levels at six and twelve months for all treatment regimens. No statistically significant differences were observed for rate of treatment failure at six and twelve months. People on Atripla® generated lower healthcare costs for non-AIDS patients at £5,340 (£5,254 to £5,426) per patient-semester and £9,821 (£9,719 to £9,924) per patient-year that was £1,344 (95%CI £1,222 to £1,465) less per patient-semester and £1,954 (95%CI £1,801 to £2,107) less per patient-year compared with Truvada®+EFV; healthcare costs for AIDS patients were similar across all regimens.
The single pill regimen is as effective as the two- and three-pill regimens of the same drugs, but if started as first-line induction therapy there would be a 20% savings on healthcare costs at six and 17% of costs at twelve months compared with Truvada®+EFV, that generated the next lowest costs.
PMCID: PMC3484120  PMID: 23118869
14.  The Ethics of Switch/Simplify in Antiretroviral Trials: Non-Inferior or Just Inferior? 
PLoS Medicine  2012;9(7):e1001240.
Using the SWITCHMRK and MONET trials as examples, Andrew Carr and colleagues question the ethics and motives of switch or simplification trials of anti-retroviral therapy.
PMCID: PMC3398965  PMID: 22815652
15.  The use of computational models to predict response to HIV therapy for clinical cases in Romania 
Germs  2012;2(1):6-11.
A major challenge in Romania is the optimisation of antiretroviral therapy for the many HIV-infected adults with, on average, a decade of treatment experience. The RDI has developed computational models that predict virological response to therapy but these require a genotype, which is not routinely available in Romania. Moreover the models, which were trained without any Romanian data, have proved most accurate for patients from the healthcare settings that contributed the training data. Here we develop and test a novel model that does not require a genotype, with test data from Romania.
A random forest (RF) model was developed to predict the probability of the HIV viral load (VL) being reduced to <50 copies/ml following therapy change. The input variables were baseline VL, CD4 count, treatment history and time to follow-up. The model was developed with 3188 treatment changes episodes (TCEs) from North America, Western Europe and Australia. The model’s predictions for 100 independent TCEs from the RDI database were compared to those of a model trained with the same data plus genotypes and then tested using 39 TCEs from Romania in terms of the area under the ROC curve (AUC).
When tested with the 100 independent RDI TCEs, the AUC values for the models with and without genotypes were 0.88 and 0.86 respectively. For the 39 Romanian TCEs the AUC was 0.60. However, when 14 cases with viral loads that may have been between 50 and 400 copies were removed, the AUC increased to 0.83.
Despite having been trained without data from Romania, the model predicted treatment responses in treatment-experienced Romanian patients with clade F virus accurately without the need for a genotype. The results suggest that this approach might be generalisable and useful in helping design optimal salvage regimens for treatment-experienced patients in countries with limited resources where genotyping is not always available.
PMCID: PMC3882835  PMID: 24432257
HIV; treatment response prediction; computational models
16.  The Cost-Effectiveness of Early Access to HIV Services and Starting cART in the UK 1996–2008 
PLoS ONE  2011;6(12):e27830.
To calculate use, cost and cost-effectiveness of people living with HIV (PLHIV) starting routine treatment and care before starting combination antiretroviral therapy (cART) and PLHIV starting first-line 2NRTIs+NNRTI or 2NRTIs+PIboosted, comparing PLHIV with CD4≤200 cells/mm3 and CD4>200 cells/mm3. Few studies have calculated the use, cost and cost-effectiveness of routine treatment and care before starting cART and starting cART above and below CD4 200 cells/mm3.
Use, costs and cost-effectiveness were calculated for PLHIV in routine pre-cART and starting first-line cART, comparing CD4≤200 cells/mm3 with CD4>200 cells/mm3 (2008 UK prices).
cART naïve patients CD4≤200 cells/mm3 had an annual cost of £6,407 (95%CI £6,382 to £6,425) PPY compared with £2,758 (95%CI £2,752 to £2,761) PPY for those with CD4>200 cells/mm3; cost per life year gained of pre-cART treatment and care for those with CD4>200 cells/mm3 was £1,776 (cost-saving to £2,752). Annual cost for starting 2NRTIs+NNRTI or 2NRTIs+PIboosted with CD4≤200 cells/mm3 was £12,812 (95%CI £12,685–£12,937) compared with £10,478 (95%CI £10,376–£10,581) for PLHIV with CD4>200 cells/mm3. Cost per additional life-year gained on first-line therapy for those with CD4>200 cells/mm3 was £4639 (£3,967 to £2,960).
PLHIV starting to use HIV services before CD4≤200 cells/mm3 is cost-effective and enables them to be monitored so they start cART with a CD4>200 cells/mm3, which results in better outcomes and is cost-effective. However, 25% of PLHIV accessing services continue to present with CD4≤200 cells/mm3. This highlights the need to investigate the cost-effectiveness of testing and early treatment programs for key populations in the UK.
PMCID: PMC3237423  PMID: 22194795
17.  Sequential Population Pharmacokinetic Modeling of Lopinavir and Ritonavir in Healthy Volunteers and Assessment of Different Dosing Strategies▿† 
Nonlinear mixed-effects modeling was applied to explore the relationship between lopinavir and ritonavir concentrations over 72 h following drug cessation and also to assess other lopinavir and ritonavir dosing strategies compared to the standard 400-mg–100-mg twice-daily dose. Data from 16 healthy volunteers were included. Possible covariates influencing lopinavir and ritonavir pharmacokinetics were also assessed. Data were modeled first separately and then together by using individually predicted ritonavir pharmacokinetic parameters in the final lopinavir model. The model was evaluated by means of a visual predictive check and external validation. A maximum-effect model in which ritonavir inhibited the elimination of lopinavir best described the relationship between ritonavir concentrations and lopinavir clearance (CL/F). A ritonavir concentration of 0.06 mg/liter was associated with a 50% maximum inhibition of the lopinavir CL/F. The population prediction of the lopinavir CL/F in the absence of ritonavir was 21.6 liters/h (relative standard error, 14.0%), and the apparent volume of distribution and absorption rate constant were 55.3 liters (relative standard error, 10.2%) and 0.57 h−1 (relative standard error, 0.39%), respectively. Overall, 92% and 94% of the observed concentrations were encompassed by the 95% prediction intervals for lopinavir and ritonavir, respectively, which is indicative of an adequate model. Predictions of concentrations from an external data set (HIV infected) (n = 12) satisfied predictive performance criteria. Simulated lopinavir exposures at lopinavir-ritonavir doses of 200 mg-150 mg and 200 mg-50 mg twice daily were 38% and 65% lower, respectively, than that of the standard dose. The model allows a better understanding of the interaction between lopinavir and ritonavir and may allow a better prediction of lopinavir concentrations and assessments of different dosing strategies.
PMCID: PMC3101471  PMID: 21422211
18.  Cost-Effectiveness of Early Treatment with First-Line NNRTI-Based HAART Regimens in the UK, 1996-2006 
PLoS ONE  2011;6(5):e20200.
Calculate time to first-line treatment failure, annual cost and cost-effectiveness of NNRTI versus PIboosted first-line HAART regimens in the UK, 1996–2006.
Population costs for HIV services are increasing in the UK and interventions need to be effective and efficient to reduce or stabilize costs. 2NRTIs + NNRTI regimens are cost-effective regimens for first-line HAART, but these regimens have not been compared with first-line PIboosted regimens.
Times to first-line treatment failure and annual costs were calculated for first-line HAART regimens by CD4 count when starting HAART (2006 UK prices). Cost-effectiveness of 2NRTIs+NNRTI versus 2NRTIs+PIboosted regimens was calculated for four CD4 strata.
55% of 5,541 people living with HIV (PLHIV) started HAART with CD4 count ≤200 cells/mm3, many of whom were Black Africans. Annual treatment cost decreased as CD4 count increased; most marked differences were observed between starting HAART with CD4 ≤200 cells/mm3 compared with CD4 count >200 cells/mm3. 2NRTI+PIboosted and 2NRTI+NNRTI regimens were the most effective regimens across the four CD4 strata; 2NRTI+NNRTI was cost-saving or cost-effective compared with 2NRTI + PIboosted regimens.
To ensure more effective and efficient provision of HIV services, 2NRTI+NNRTI should be started as first-line HAART regimen at CD4 counts ≤350 cell/mm3, unless specific contra-indications exist. This will increase the number of PLHIV receiving HAART and will initially increase population costs of providing HIV services. However, starting PLHIV earlier on cost-effective regimens will maintain them in better health and use fewer health or social services, thereby generating fewer treatment and care costs, enabling them to remain socially and economically active members of society. This does raise a number of ethical issues, which will have to be acknowledged and addressed, especially in countries with limited resources.
PMCID: PMC3102104  PMID: 21633514
19.  Long-term CD4+ T-cell count evolution after switching from regimens including HIV nucleoside reverse transcriptase inhibitors (NRTI) plus protease inhibitors to regimens containing NRTI plus non-NRTI or only NRTI 
Data regarding CD4+ recovery after switching from protease inhibitor (PI)-based regimens to regimens not containing PI are scarce.
Subjects with virological success on first-PI-regimens who switched to NNRTI therapy (NNRTI group) or to nucleoside reverse transcriptase (NRTI)-only (NRTI group) were studied. The effect of the switch on the ongoing CD4+ trend was assessed by two-phase linear regression (TPLR), allowing us to evaluate whether a change in the CD4+ trend (hinge) occurred and the time of its occurrence. Furthermore, we described the evolution of the frequencies in CD4-count classes across four relevant time-points (baseline, before and immediately after the switch, and last visit). Finally, we explored whether the CD4+ counts evolved differently in patients who switched to NNRTI or NRTI-only regimens by considering: the overall CD4+ trends, the time to CD4+≥ 500/mm3 after the switch, and the area-under-the-curve (AUC) of the CD4+ after the switch.
Eight hundred and ninety-six patients, followed for a median of 2,121 days, were included. At TPLR, hinges occurred in 581/844 (68.9%), but in only 40/581 (6.9%) within a time interval (180 days) compatible with a possible relationship to the switch; furthermore, in 19/40 cases, CD4+ counts appeared to decrease after the hinges. In comparison with the NNRTI group, the NRTI group showed CD4+ count greater at baseline (P = 0.0234) and before the switch (P ≤ 0.0001), superior CD4+ T-cell increases after HAART was started, lower probability of not achieving CD4+ ≥ 500/mm3 (P = 0.0024), and, finally, no significant differences in the CD4+ T-cell AUC after the switch after adjusting for possible confounders (propensity score and pre-switch AUC). Persistence at CD4+ < 200/mm3 was observed in 34/435 (7.5%) patients, and a decrease below this level was found in only 10/259 (3.9%) with baseline CD4+ ≥ 350/mm3.
Switching from first-line PI to NNRTI- or NRTI-based regimens did not seem to impair CD4+ trend over long-term follow-up. Although the greater CD4+ increases in patients who switched to the NRTI-only regimen was due to higher CD4+ counts before the switch, several statistical analyses consistently showed that switching to this regimen did not damage the ongoing immune-reconstitution. Lastly, the observation that CD4+ T-cell counts remained low or decreased in the long term despite virological success merits further investigation.
PMCID: PMC3038912  PMID: 21266068
20.  Rising Population Cost for Treating People Living with HIV in the UK, 1997-2013 
PLoS ONE  2010;5(12):e15677.
The number of people living with HIV (PLHIV) is increasing in the UK. This study estimated the annual population cost of providing HIV services in the UK, 1997–2006 and projected them 2007–2013.
Annual cost of HIV treatment for PLHIV by stage of HIV infection and type of ART was calculated (UK pounds, 2006 prices). Population costs were derived by multiplying the number of PLHIV by their annual cost for 1997–2006 and projected 2007–2013.
Average annual treatment costs across all stages of HIV infection ranged from £17,034 in 1997 to £18,087 in 2006 for PLHIV on mono-therapy and from £27,649 in 1997 to £32,322 in 2006 for those on quadruple-or-more ART. The number of PLHIV using NHS services rose from 16,075 to 52,083 in 2006 and was projected to increase to 78,370 by 2013. Annual population cost rose from £104 million in 1997 to £483 million in 2006, with a projected annual cost between £721 and £758 million by 2013. When including community care costs, costs increased from £164 million in 1997, to £683 million in 2006 and between £1,019 and £1,065 million in 2013.
Increased number of PLHIV using NHS services resulted in rising UK population costs. Population costs are expected to continue to increase, partly due to PLHIV's longer survival on ART and the relative lack of success of HIV preventing programs. Where possible, the cost of HIV treatment and care needs to be reduced without reducing the quality of services, and prevention programs need to become more effective. While high income countries are struggling to meet these increasing costs, middle- and lower-income countries with larger epidemics are likely to find it even more difficult to meet these increasing demands, given that they have fewer resources.
PMCID: PMC3012705  PMID: 21209893
21.  Human Immunodeficiency Virus Type 1 Elite Neutralizers: Individuals with Broad and Potent Neutralizing Activity Identified by Using a High-Throughput Neutralization Assay together with an Analytical Selection Algorithm▿ † 
Journal of Virology  2009;83(14):7337-7348.
The development of a rapid and efficient system to identify human immunodeficiency virus type 1 (HIV-1)-infected individuals with broad and potent HIV-1-specific neutralizing antibody responses is an important step toward the discovery of critical neutralization targets for rational AIDS vaccine design. In this study, samples from HIV-1-infected volunteers from diverse epidemiological regions were screened for neutralization responses using pseudovirus panels composed of clades A, B, C, and D and circulating recombinant forms (CRFs). Initially, 463 serum and plasma samples from Australia, Rwanda, Uganda, the United Kingdom, and Zambia were screened to explore neutralization patterns and selection ranking algorithms. Samples were identified that neutralized representative isolates from at least four clade/CRF groups with titers above prespecified thresholds and ranked based on a weighted average of their log-transformed neutralization titers. Linear regression methods selected a five-pseudovirus subset, representing clades A, B, and C and one CRF01_AE, that could identify top-ranking samples with 50% inhibitory concentration (IC50) neutralization titers of ≥100 to multiple isolates within at least four clade groups. This reduced panel was then used to screen 1,234 new samples from the Ivory Coast, Kenya, South Africa, Thailand, and the United States, and 1% were identified as elite neutralizers. Elite activity is defined as the ability to neutralize, on average, more than one pseudovirus at an IC50 titer of 300 within a clade group and across at least four clade groups. These elite neutralizers provide promising starting material for the isolation of broadly neutralizing monoclonal antibodies to assist in HIV-1 vaccine design.
PMCID: PMC2704778  PMID: 19439467
22.  Elevated ethyl methanesulfonate (EMS) in nelfinavir mesylate (Viracept®, Roche): overview 
Roche's protease inhibitor nelfinavir mesylate (Viracept®) produced between March 2007-June 2007 was found to contain elevated levels of ethyl methanesulfonate (EMS), a known mutagen (alkylator) – leading to a global recall of the drug. EMS levels in a daily dose (2,500 mg Viracept/day) were predicted not to exceed a dose of ~2.75 mg/day (~0.055 mg/kg/day based on 50 kg patient). As existing toxicology data on EMS did not permit an adequate patient risk assessment, a comprehensive animal toxicology evaluation of EMS was conducted. General toxicity of EMS was investigated in rats over 28 days. Two studies for DNA damage were performed in mice; chromosomal damage was assessed using a micronucleus assay and gene mutations were detected using the MutaMouse transgenic model. In addition, experiments designed to extrapolate animal exposure to humans were undertaken. A general toxicity study showed that the toxicity of EMS occurred only at doses ≥ 60 mg/kg/day, which is far above that received by patients. Studies for chromosomal damage and mutations in mice demonstrated a clear threshold effect with EMS at 25 mg/kg/day, under chronic dosing conditions. Exposure analysis (Cmax) demonstrated that ~370-fold higher levels of EMS than that ingested by patients, are needed to saturate known, highly conserved, error-free, mammalian DNA repair mechanisms for alkylation. In summary, animal studies suggested that patients who took nelfinavir mesylate with elevated levels of EMS are at no increased risk for carcinogenicity or teratogenicity over their background risk, since mutations are prerequisites for such downstream events. These findings are potentially relevant to >40 marketed drugs that are mesylate salts.
PMCID: PMC2731786  PMID: 19660105
23.  Population pharmacokinetics of ritonavir-boosted atazanavir in HIV-infected patients and healthy volunteers 
The aim of this study was to develop and validate a population pharmacokinetic model to: (i) describe ritonavir-boosted atazanavir concentrations (300/100 mg once daily) and identify important covariates; and (ii) evaluate the predictive performance of the model for lower, unlicensed atazanavir doses (150 and 200 mg once daily) boosted with ritonavir (100 mg once daily).
Non-linear mixed effects modelling was applied to determine atazanavir pharmacokinetic parameters, inter-individual variability (IIV) and residual error. Covariates potentially related to atazanavir pharmacokinetics were explored. The final model was assessed by means of a visual predictive check for 300/100, 200/100 and 150/100 mg once daily.
Forty-six individuals were included (30 HIV-infected). A one-compartment model with first-order absorption and lag-time best described the data. Final estimates of apparent oral clearance (CL/F), volume of distribution (V/F) and absorption rate constant [relative standard error (%) and IIV (%)] were 7.7 L/h (5, 29), 103 L (13, 48) and 3.4 h−1 (34, 154); a lag-time of 0.96 h (1) was determined. Ritonavir area under the curve (AUC0–24) was the only significant covariate. Overall, 94%–97% of observed concentrations were within the 95% prediction intervals for all three regimens.
A population pharmacokinetic model for ritonavir-boosted atazanavir has been developed and validated. Ritonavir AUC0–24 was significantly associated with atazanavir CL/F. The model was used to investigate other, particularly lower, ritonavir-boosted atazanavir dosing strategies.
PMCID: PMC2680345  PMID: 19329800
modelling; simulation; variability; pharmacokinetics
24.  Episodic Sexual Transmission of HIV Revealed by Molecular Phylodynamics 
PLoS Medicine  2008;5(3):e50.
The structure of sexual contact networks plays a key role in the epidemiology of sexually transmitted infections, and their reconstruction from interview data has provided valuable insights into the spread of infection. For HIV, the long period of infectivity has made the interpretation of contact networks more difficult, and major discrepancies have been observed between the contact network and the transmission network revealed by viral phylogenetics. The high rate of HIV evolution in principle allows for detailed reconstruction of links between virus from different individuals, but often sampling has been too sparse to describe the structure of the transmission network. The aim of this study was to analyze a high-density sample of an HIV-infected population using recently developed techniques in phylogenetics to infer the short-term dynamics of the epidemic among men who have sex with men (MSM).
Methods and Findings
Sequences of the protease and reverse transcriptase coding regions from 2,126 patients, predominantly MSM, from London were compared: 402 of these showed a close match to at least one other subtype B sequence. Nine large clusters were identified on the basis of genetic distance; all were confirmed by Bayesian Monte Carlo Markov chain (MCMC) phylogenetic analysis. Overall, 25% of individuals with a close match with one sequence are linked to 10 or more others. Dated phylogenies of the clusters using a relaxed clock indicated that 65% of the transmissions within clusters took place between 1995 and 2000, and 25% occurred within 6 mo after infection. The likelihood that not all members of the clusters have been identified renders the latter observation conservative.
Reconstruction of the HIV transmission network using a dated phylogeny approach has revealed the HIV epidemic among MSM in London to have been episodic, with evidence of multiple clusters of transmissions dating to the late 1990s, a period when HIV prevalence is known to have doubled in this population. The quantitative description of the transmission dynamics among MSM will be important for parameterization of epidemiological models and in designing intervention strategies.
Using viral genotype data from HIV drug resistance testing at a London clinic, Andrew Leigh Brown and colleagues derive the structure of the transmission network through phylogenetic analysis.
Editors' Summary
Human immunodeficiency virus (HIV), the cause of acquired immunodeficiency syndrome (AIDS), is mainly spread through unprotected sex with an infected partner. Like other sexually transmitted diseases, HIV/AIDS spreads through networks of sexual contacts. The characteristics of these complex networks (which include people who have serial sexual relationships with single partners and people who have concurrent sexual relationships with several partners) affect how quickly diseases spread in the short term and how common the disease is in the long term. For many sexually transmitted diseases, sexual contact networks can be reconstructed from interview data. The information gained in this way can be used for partner notification so that transmitters of the disease and people who may have been unknowingly infected can be identified, treated, and advised about disease prevention. It can also be used to develop effective community-based prevention strategies.
Why Was This Study Done?
Although sexual contact networks have provided valuable information about the spread of many sexually transmitted diseases, they cannot easily be used to understand HIV transmission patterns. This is because the period of infectivity with HIV is long and the risk of infection from a single sexual contact with an infected person is low. Another way to understand the spread of HIV is through phylogenetics, which examines the genetic relatedness of viruses obtained from different individuals. Frequent small changes in the genetic blueprint of HIV allow the virus to avoid the human immune response and to become resistant to antiretroviral drugs. In this study, the researchers use recently developed analytical methods, viral sequences from a large proportion of a specific HIV-infected population, and information on when each sample was taken, to learn about transmission of HIV/AIDS in London among men who have sex with men (MSM; a term that encompasses gay, bisexual, and transgendered men and heterosexual men who sometimes have sex with men). This new approach, which combines information on viral genetic variation and viral population dynamics, is called “molecular phylodynamics.”
What Did the Researchers Do and Find?
The researchers compared the sequences of the genes encoding the HIV-1 protease and reverse transcriptase from more than 2,000 patients, mainly MSM, attending a large London HIV clinic between 1997 and 2003. 402 of these sequences closely matched at least one other subtype B sequence (the HIV/AIDS epidemic among MSM in the UK primarily involves HIV subtype B). Further analysis showed that the patients from whom this subset of sequences came formed six clusters of ten or more individuals, as well as many smaller clusters, based on the genetic relatedness of their HIV viruses. The researchers then used information on the date when each sample was collected and a “relaxed clock” approach (which accounts for the possibility that different sequences evolve at different rates) to determine dated phylogenies (patterns of genetic relatedness that indicate when gene sequences change) for the clusters. These phylogenies indicated that at least in one in four transmissions between the individuals in the large clusters occurred within 6 months of infection, and that most of the transmissions within each cluster occurred over periods of 3–4 years during the late 1990s.
What Do These Findings Mean?
This phylodynamic reconstruction of the HIV transmission network among MSM in a London clinic indicates that the HIV epidemic in this population has been episodic with multiple clusters of transmission occurring during the late 1990s, a time when the number of HIV infections in this population doubled. It also suggests that transmission of the virus during the early stages of HIV infection is likely to be an important driver of the epidemic. Whether these results apply more generally to the MSM population at risk for transmitting or acquiring HIV depends on whether the patients in this study are representative of that group. Additional studies are needed to determine this, but if the patterns revealed here are generalizable, then this quantitative description of HIV transmission dynamics should help in the design of strategies to strengthen HIV prevention among MSM.
Additional Information.
Please access these Web sites via the online version of this summary at
Read a related PLoS Medicine Perspective article
Information is available from the US National Institute of Allergy and Infectious Diseases on HIV infection and AIDS
HIV InSite has comprehensive information on all aspects of HIV/AIDS, including a list of organizations that provide information for gay men and MSM
The US Centers for Disease Control and Prevention provides information on HIV/AIDS and on HIV/AIDS among MSM (in English and Spanish)
Information is available from Avert, an international AIDS charity, on HIV, AIDS, and men who have sex with men
The Center for AIDS Prevention Studies (University of California, San Francisco) provides information on sexual networks and HIV prevention
The US National Center for Biotechnology Information provides a science primer on molecular phylogenetics
UK Collaborative Group on HIV Drug Resistance maintains a database of resistance tests
HIV i-Base offers HIV treatment information for health-care professionals and HIV-positive people
The NIH-funded HIV Sequence Database contains data on genetic sequences, resistance, immunology, and vaccine trials
PMCID: PMC2267814  PMID: 18351795
25.  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 
Journal of Virology  2006;80(10):4909-4920.
Antagonists of the human immunodeficiency virus type 1 (HIV-1) coreceptor, CCR5, are being developed as the first anti-HIV agents acting on a host cell target. We monitored the coreceptor tropism of circulating virus, screened at baseline for coreceptor tropism, in 64 HIV-1-infected patients who received maraviroc (MVC, UK-427,857) as monotherapy for 10 days. Sixty-two patients harbored CCR5-tropic virus at baseline and had a posttreatment phenotype result. Circulating virus remained CCR5 tropic in 60/62 patients, 51 of whom experienced an HIV RNA reduction from baseline of >1 log10 copies/ml, indicating that CXCR4-using variants were not rapidly selected despite CCR5-specific drug pressure. In two patients, viral load declined during treatment and CXCR4-using virus was detected at day 11. No pretreatment factor predicted the emergence of CXCR4-tropic virus during maraviroc therapy in these two patients. Phylogenetic analysis of envelope (Env) clones from pre- and posttreatment time points indicated that the CXCR4-using variants probably emerged by outgrowth of a pretreatment CXCR4-using reservoir, rather than via coreceptor switch of a CCR5-tropic clone under selection pressure from maraviroc. Phylogenetic analysis was also performed on Env clones from a third patient harboring CXCR4-using virus prior to treatment. This patient was enrolled due to a sample labeling error. Although this patient experienced no overall reduction in viral load in response to treatment, the CCR5-tropic components of the circulating virus did appear to be suppressed while receiving maraviroc as monotherapy. Importantly, in all three patients, circulating virus reverted to predominantly CCR5 tropic following cessation of maraviroc.
PMCID: PMC1472081  PMID: 16641282

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