Clinical use of genotypic and phenotypic drug resistance testing to monitor antiretroviral chemotherapy

Prevalence of resistance-associated viral variants to the HIV-specific broadly neutralising antibody 10-1074 in a UK bNAb-naïve population

Broadly neutralising antibodies (bNAbs) targeting HIV show promise for both prevention of infection and treatment. Among these, 10-1074 has shown potential in neutralising a wide range of HIV strains. However, resistant viruses may limit the clinical efficacy of 10-1074. The prevalence of both de novo and emergent 10-1074 resistance will determine its use at a population level both to protect against HIV transmission and as an option for treatment. To help understand this further, we report the prevalence of pre-existing mutations associated with 10-1074 resistance in a bNAb-naive population of 157 individuals presenting to UK HIV centres with primary HIV infection, predominantly B clade, receiving antiretroviral treatment. Single genome analysis of HIV proviral envelope sequences showed that 29% of participants' viruses tested had at least one sequence with 10-1074 resistance-associated mutations. Mutations interfering with the glycan binding site at HIV Env position 332 accounted for 95% of all observed mutations. Subsequent analysis of a larger historic dataset of 2425 B-clade envelope sequences sampled from 1983 to 2019 revealed an increase of these mutations within the population over time. Clinical studies have shown that the presence of pre-existing bNAb mutations may predict diminished therapeutic effectiveness of 10-1074. Therefore, we emphasise the importance of screening for these mutations before initiating 10-1074 therapy, and to consider the implications of pre-existing resistance when designing prevention strategies.

Efficacy of Dolutegravir versus Darunavir in Antiretroviral First-Line Regimens According to Resistance Mutations and Viral Subtype

Background: Dolutegravir (DTG)-based first-line regimens have shown superior efficacy versus darunavir (DRV)-based ones in randomized trials. We compared these two strategies in clinical practice, particularly considering the role of pre-treatment drug resistance mutations (DRMs) and of the HIV-1 subtype. Materials and methods: The multicenter Antiretroviral Resistance Cohort Analysis (ARCA) database was queried to identify HIV-1-positive patients starting a first-line therapy with 2NRTIs plus either DTG or DRV between 2013 and 2019. Only adult (≥18 years) patients with a genotypic resistance test (GRT) prior to therapy and with HIV-1 RNA ≥1000 copies/mL were selected. Through multivariable Cox regressions, we compared DTG- versus DRV-based regimens in the time to virological failure (VF) stratifying for pre-treatment DRMs and the viral subtype. Results: A total of 649 patients was enrolled, with 359 (55.3%) and 290 (44.7) starting DRV and DTG, respectively. In 11 months of median follow-up time, there were 41 VFs (8.4 in 100 patient-years follow-up, PYFU) and 15 VFs (5.3 per 100 PYFU) in the DRV and DTG groups, respectively. Compared with a fully active DTG-based regimen, the risk of VF was higher with DRV (aHR 2.33; p = 0.016), and with DTG-based regimens with pre-treatment DRMs to the backbone (aHR 17.27; p = 0.001), after adjusting for age, gender, baseline CD4 count and HIV-RNA, concurrent AIDS-defining event and months since HIV diagnosis. Compared with patients harboring a B viral subtype and treated with a DTG-based regimen, patients on DRV had an increased risk of VF, both in subtype B (aHR 3.35; p = 0.011), C (aHR 8.10; p = 0.005), CRF02-AG (aHR 5.59; p = 0.006) and G (aHR 13.90; p < 0.001); DTG also demonstrated a reduced efficacy in subtypes C (versus B, aHR 10.24; p = 0.035) and CRF01-AE (versus B; aHR 10.65; p = 0.035). Higher baseline HIV-RNA and a longer time since HIV diagnosis also predicted VF. Conclusions: In line with randomized trials, DTG-based first-line regimens showed an overall superior efficacy compared with DRV-based regimens. GRT may still play a role in identifying patients more at risk of VF and in guiding the choice of an antiretroviral backbone.

Evaluation of Broadly Neutralizing Antibody Sensitivity by Genotyping and Phenotyping for Qualifying Participants to HIV Clinical Trials

BACKGROUND

HIV envelope (env) diversity represents a significant challenge for the use of broadly neutralizing antibodies (bNAbs) in HIV treatment and cure studies. Screening for viral sensitivity to bNAbs to select eligible trial participants will be important to improve clinical efficacy; however, no universal approach has been established.

METHODS

Pre-antiretroviral therapy plasma virus from participants in the Zurich Primary HIV Infection (ZPHI) study was genotyped and phenotyped for sensitivity to the bNAbs elipovimab (EVM, formerly GS-9722) and 3BNC117. The genotyping and phenotyping assessments were performed following the Clinical Laboratory Improvement Amendments of 1988 guidelines as required for entry into clinical trials. The genotypic-based prediction of bNAb sensitivity was based on HIV env amino acid signatures identified from a genotypic-phenotypic correlation algorithm using a subtype B database.

RESULTS

Genotyping the plasma virus and applying env sensitivity signatures, ZPHI study participants with viral sensitivity to EVM and 3BNC117 were identified. ZPHI study participants with virus sensitive to EVM and 3BNC117 were also identified by phenotyping the plasma virus. Comparison of the genotypic and phenotypic sensitivity assessments showed strong agreement between the 2 methodologies.

CONCLUSIONS

The genotypic assessment was found to be as predictive as the direct measurement of bNAb sensitivity by phenotyping and may, therefore, be preferred because of more rapid turnaround time and assay simplicity. A significant number of the participants were predicted to have virus sensitive to EVM and 3BNC117 and could, thus, be potential participants for clinical trials involving these bNAbs.

Forty Years Since the Epidemic: Modern Paradigms in HIV Diagnosis and Treatment

Human immunodeficiency virus (HIV) is a viral infection that, when transmitted through the exchange of certain bodily fluids, destroys various immune cells and contributes to an overall weakened immune system. If left untreated, HIV progresses to acquired immunodeficiency syndrome (AIDS) - a chronic, life-threatening condition that puts patients at risk for opportunistic infections. Since the emergence of HIV nearly a century ago, the world has seen tremendous advances in elucidating its pathology and progression. These advances have been accompanied by an increased understanding of how subsequent effects and symptoms manifest in afflicted individuals. These discoveries, coupled with the ever-improving technologies and methodologies used for detection and treatment, provide the scientific and medical community with a solid grasp of HIV. Despite this significant headway, there is still much progress to be made; medical advances have allowed people with HIV to manage their disease and live a longer, healthier life, but a definite cure is yet to be found. Thus, the following literature review serves as both an extensive compendium of our current understanding of HIV - its pathology, testing/detection, repercussions, and treatment - and an acknowledgement of the areas that still require further research.

Enhancing care for people living with HIV: current and future monitoring approaches

INTRODUCTION

Antiretroviral therapy (ART) is the most significant advance in the medical management of HIV-1 infection. Given the fact that HIV cannot be eradicated from the body, ART has to be indefinitely maintained. New approaches need to be defined for monitoring HIV-infected individuals (PLWHIV), including clinical, virologic, immunological parameters and also ways to collect individual points of view and quality of life.

AREAS COVERED

We discuss which tests may be used to improve the management of PLWHIV and respond to a comprehensive health demand.

EXPERT OPINION

Viral load and CD4 counts are well-validated outcome measures and we still need them, but they do not completely depict the health status of PLWHIV. We need to better understand and to apply to clinical practice what happens in sanctuaries, what is the role of HIV DNA, what is the meaning of low-level viremia. Most of these questions do not yet have a definitive response. Further, we need to understand how to modify these variables in order to improve outcomes.Similar points may be raised for immunological measures and for tests exploring the tolerability of drugs. The goal must be the evolution from a viro/immunologic-based to a comprehensive quality-of-health-based evaluation of PLWHIV.

Technical Validation of a Hepatitis C Virus Whole Genome Sequencing Assay for Detection of Genotype and Antiviral Resistance in the Clinical Pathway

Choice of direct acting antiviral (DAA) therapy for Hepatitis C Virus (HCV) in the United Kingdom and similar settings usually requires knowledge of the genotype and, in some cases, antiviral resistance (AVR) profile of the infecting virus. To determine these, most laboratories currently use Sanger technology, but next-generation sequencing (NGS) offers potential advantages in throughput and accuracy. However, NGS poses unique technical challenges, which require idiosyncratic development and technical validation approaches. This applies particularly to virology, where sequence diversity is high and the amount of starting genetic material is low, making it difficult to distinguish real data from artifacts. We describe the development and technical validation of a sequence capture-based HCV whole genome sequencing (WGS) assay to determine viral genotype and AVR profile. We use clinical samples of known subtypes and viral loads, and simulated FASTQ datasets to validate the analytical performances of both the wet laboratory and bioinformatic pipeline procedures. We show high concordance of the WGS assay compared to current "gold standard" Sanger assays. Specificity was 92.3 and 96.1% for AVR and genotyping, respectively. Discordances were due to the inability of Sanger assays to assign the correct subtype or accurately call mixed drug-resistant variants. We show high repeatability and reproducibility with >99.8% sequence similarity between sequence runs as well as high precision for variant frequency detection at >98.8% in the 95th percentile. Post-sequencing bioinformatics quality control workflows allow the accurate distinction between mixed infections, cross-contaminants and recombinant viruses at a threshold of >5% for the minority population. The sequence capture-based HCV WGS assay is more accurate than legacy AVR and genotyping assays. The assay has now been implemented in the clinical pathway of England's National Health Service HCV treatment programs, representing the first validated HCV WGS pipeline in clinical service. The data generated will additionally provide granular national-level genomic information for public health policy making and support the WHO HCV elimination strategy.

Combating mutations in genetic disease and drug resistance: understanding molecular mechanisms to guide drug design

INTRODUCTION

Mutations introduce diversity into genomes, leading to selective changes and driving evolution. These changes have contributed to the emergence of many of the current major health concerns of the 21st century, from the development of genetic diseases and cancers to the rise and spread of drug resistance. The experimental systematic testing of all mutations in a system of interest is impractical and not cost-effective, which has created interest in the development of computational tools to understand the molecular consequences of mutations to aid and guide rational experimentation. Areas covered: Here, the authors discuss the recent development of computational methods to understand the effects of coding mutations to protein function and interactions, particularly in the context of the 3D structure of the protein. Expert opinion: While significant progress has been made in terms of innovative tools to understand and quantify the different range of effects in which a mutation or a set of mutations can give rise to a phenotype, a great gap still exists when integrating these predictions and drawing causality conclusions linking variants. This often requires a detailed understanding of the system being perturbed. However, as part of the drug development process it can be used preemptively in a similar fashion to pharmacokinetics predictions, to guide development of therapeutics to help guide the design and analysis of clinical trials, patient treatment and public health policy strategies.

Using drug exposure for predicting drug resistance - A data-driven genotypic interpretation tool

Antiretroviral treatment history and past HIV-1 genotypes have been shown to be useful predictors for the success of antiretroviral therapy. However, this information may be unavailable or inaccurate, particularly for patients with multiple treatment lines often attending different clinics. We trained statistical models for predicting drug exposure from current HIV-1 genotype. These models were trained on 63,742 HIV-1 nucleotide sequences derived from patients with known therapeutic history, and on 6,836 genotype-phenotype pairs (GPPs). The mean performance regarding prediction of drug exposure on two test sets was 0.78 and 0.76 (ROC-AUC), respectively. The mean correlation to phenotypic resistance in GPPs was 0.51 (PhenoSense) and 0.46 (Antivirogram). Performance on prediction of therapy-success on two test sets based on genetic susceptibility scores was 0.71 and 0.63 (ROC-AUC), respectively. Compared to geno2pheno_[resistance], our novel models display a similar or superior performance. Our models are freely available on the internet via www.geno2pheno.org. They can be used for inferring which drug compounds have previously been used by an HIV-1-infected patient, for predicting drug resistance, and for selecting an optimal antiretroviral therapy. Our data-driven models can be periodically retrained without expert intervention as clinical HIV-1 databases are updated and therefore reduce our dependency on hard-to-obtain GPPs.

Characterization of the Drug Resistance Profiles of Patients Infected with CRF07_BC Using Phenotypic Assay and Ultra-Deep Pyrosequencing

The usefulness of ultra-deep pyrosequencing (UDPS) for the diagnosis of HIV-1 drug resistance (DR) remains to be determined. Previously, we reported an explosive outbreak of HIV-1 circulating recombinant form (CRF) 07_BC among injection drug users (IDUs) in Taiwan in 2004. The goal of this study was to characterize the DR of CRF07_BC strains using different assays including UDPS. Seven CRF07_BC isolates including 4 from early epidemic (collected in 2004–2005) and 3 from late epidemic (collected in 2008) were obtained from treatment-naïve patient’s peripheral blood mononuclear cells. Viral RNA was extracted directly from patient’s plasma or from cultural supernatant and the pol sequences were determined using RT-PCR sequencing or UDPS. For comparison, phenotypic drug susceptibility assay using MAGIC-5 cells (in-house phenotypic assay) and Antivirogram were performed. In-house phenotypic assay showed that all the early epidemic and none of the late epidemic CRF07_BC isolates were resistant to most protease inhibitors (PIs) (4.4–47.3 fold). Neither genotypic assay nor Antivirogram detected any DR mutations. UDPS showed that early epidemic isolates contained 0.01–0.08% of PI DR major mutations. Furthermore, the combinations of major and accessory PI DR mutations significantly correlated with the phenotypic DR. The in-house phenotypic assay is superior to other conventional phenotypic assays in the detection of DR variants with a frequency as low as 0.01%.

Evaluation of novel protease inhibitors against darunavir-resistant variants of HIV type 1

HIV disease became a manageable chronic disease since combination antiretroviral therapy (cART) was introduced as the standard treatment regimen. However, the emergence of drug‐resistant viruses is a major problem associated with cART. A phenotypic drug susceptibility test using a lentiviral vector was established and applied to evaluate new protease inhibitors (PIs). Lentiviral vectors representing a wild‐type (WT‐lentivector) and darunavir (DRV)‐resistant HIV type 1 (HIV‐1) (DRV^r‐lentivector) were generated. Nine clinically approved protease inhibitors (PIs) inhibited the transduction ability of WT‐lentivector similar to their inhibitory effects on the replication of WT HIV‐1. Three new PIs reduced the transduction ability of WT‐ and DRV^r‐lentivector, suggesting that these PIs may be the candidates as novel antiretroviral drugs against drug‐resistant variants of HIV‐1.

Rapid Detection of Common HIV-1 Drug Resistance Mutations by Use of High-Resolution Melting Analysis and Unlabeled Probes

HIV rapidly accumulates resistance mutations following exposure to subtherapeutic concentrations of antiretroviral drugs that reduces treatment efficacy. High-resolution melting analysis (HRMA) has been used to successfully identify single nucleotide polymorphisms (SNPs) and to genotype viral and bacterial species. Here, we tested the ability of HRMA incorporating short unlabeled probes to accurately assign drug susceptibilities at the 103, 181, and 184 codons of the HIV-1 reverse transcriptase gene. The analytical sensitivities of the HRMA assays were 5% of mixed species for K103N and Y181C and 20% for M184V. When applied to 153 HIV-1 patient specimens previously genotyped by Sanger population sequencing, HRMA correctly assigned drug sensitivity or resistance profiles to 80% of the samples at codon 103 (K103K/N) (Cohen's kappa coefficient [κ] > 0.6; P < 0.05), 90% at 181 (Y181Y/C) (κ > 0.74, P < 0.05), and 80% at 184 (M184M/V) (κ > 0.62; P < 0.05). The frequency of incorrect genotypes was very low (≤1 to 2%) for each assay, which in most cases was due to the higher sensitivity of the HRMA assay. Specimens for which drug resistance profiles could not be assigned (9 to 20%) often had polymorphisms in probe binding regions. Thus, HRMA is a rapid, inexpensive, and sensitive method for the determination of drug sensitivities caused by major HIV-1 drug resistance mutations and, after further development to minimize the melting effects of nontargeted polymorphisms, may be suitable for surveillance purposes.

A simple and cost-saving phenotypic drug susceptibility testing of HIV-1

It is essential to monitor the occurrence of drug-resistant strains and to provide guidance for clinically adapted antiviral treatment of HIV/AIDS. In this study, an individual patient's HIV-1 pol gene encoding the full length of protease and part of the reverse transcriptase was packaged into a modified lentivirus carrying dual-reporters ZsGreen and luciferase. The optimal coefficient of correlation between drug concentration and luciferase activity was optimized. A clear-cut dose-dependent relationship between lentivirus production and luciferase activity was found in the phenotypic testing system. Fold changes (FC) to a wild-type control HIV-1 strain ratios were determined reflecting the phenotypic susceptibility of treatment-exposed patient's HIV-1 strains to 12 HIV-1 inhibitors including 6 nucleoside reverse-transcriptase inhibitors (NRTIs), 4 non-nucleoside reverse transcriptase inhibitors (NNRTIs) and 2 protease inhibitors (PIs). Phenotypic susceptibility calls from 8 HIV-1 infected patients were consistent with 80-90% genotypic evaluations, while phenotypic assessments rectified 10-20% genotypic resistance calls. By a half of replacement with ZsGreen reporter, the consumption of high cost Bright-Glo Luciferase Assay is reduced, making this assay cheaper when a large number of HIV-1 infected individuals are tested. The study provides a useful tool for interpreting meaningful genotypic mutations and guiding tailored antiviral treatment of HIV/AIDS in clinical practice.

A cell-free enzymatic activity assay for the evaluation of HIV-1 drug resistance to protease inhibitors

Due to their high frequency of genomic mutations, human retroviruses often develop resistance to antiretroviral drugs. The emergence of drug-resistant human immunodeficiency virus type 1 (HIV-1) is a significant obstacle to the effective long-term treatment of HIV infection. The development of a rapid and versatile drug-susceptibility assay would enable acquisition of phenotypic information and facilitate determination of the appropriate choice of antiretroviral agents. In this study, we developed a novel in vitro method, termed the Cell-free drug susceptibility assay (CFDSA), for monitoring phenotypic information regarding the drug resistance of HIV-1 protease (PR). The CFDSA utilizes a wheat germ cell-free protein production system to synthesize enzymatically active HIV-1 PRs directly from PCR products amplified from HIV-1 molecular clones or clinical isolates in a rapid one-step procedure. Enzymatic activity of PRs can be readily measured by AlphaScreen (Amplified Luminescent Proximity Homogeneous Assay Screen) in the presence or absence of clinically used protease inhibitors (PIs). CFDSA measurement of drug resistance was based on the fold resistance to the half-maximal inhibitory concentration (IC50) of various PIs. The CFDSA could serve as a non-infectious, rapid, accessible, and reliable alternative to infectious cell-based phenotypic assays for evaluation of PI-resistant HIV-1.

Emerging technologies for point-of-care management of HIV infection

The global HIV/AIDS pandemic has resulted in 39 million deaths to date, and there are currently more than 35 million people living with HIV worldwide. Prevention, screening, and treatment strategies have led to major progress in addressing this disease globally. Diagnostics is critical for HIV prevention, screening and disease staging, and monitoring antiretroviral therapy (ART). Currently available diagnostic assays, which include polymerase chain reaction (PCR), enzyme-linked immunosorbent assay (ELISA), and western blot (WB), are complex, expensive, and time consuming. These diagnostic technologies are ill suited for use in low- and middle-income countries, where the challenge of the HIV/AIDS pandemic is most severe. Therefore, innovative, inexpensive, disposable, and rapid diagnostic platform technologies are urgently needed. In this review, we discuss challenges associated with HIV management in resource-constrained settings and review the state-of-the-art HIV diagnostic technologies for CD4(+) T lymphocyte count, viral load measurement, and drug resistance testing.

Discordance between genotypic resistance and pseudovirus phenotypic resistance in AIDS patients after long-term antiretroviral therapy and virological failure

Sixteen original recombinant pseudoviruses were generated by cloning the reverse transcriptase and protease genes of human immunodeficiency virus (HIV)-1 from patients into a plasmid vector (pNL4-3-ΔE-EGFP). By site-directed mutagenesis two restriction endonuclease sites, ApaI and AgeI, were inserted into pNL4-3-ΔE-EGFP. Phenotypic susceptibility of recombinant pseudoviruses to five different classes of antiretroviral drugs was determined using a luciferase reporter assay system. The results were subjected to comparative analyses to detect genotype-phenotype associations. Among 16 strains tested, 12 strains had a discordant genotype-phenotype resistance pattern to at least one drug. In five strains resistance to two, in two strains to three, and in one strain resistance to four drugs was detected. HIV resistance genotyping could predict the phenotype for nevirapine and azidothymidine. For lamivudine, 2'-3'-didehydro-2'-3'dideoxythymidine and didanosine, phenotypic resistance testing was necessary. The study showed that in patients who experienced long-term highly active antiretroviral therapy and virological failure, there is some discordance between genotypic and phenotypic HIV drug resistance. To address the issue of limited resources in China, genotypic and phenotypic resistance testing should be done for different drugs in order to guide clinical therapy more effectively.

Effect of HIV genotypic drug resistance testing on the management and clinical course of HIV-infected children and adolescents

The clinical utility of genotypic drug resistance testing (DRT) in HIV-infected children on antiretroviral therapy (ART) is not well understood. HIV-infected patients aged <19 years undergoing DRT for virological failure were retrospectively enrolled. Indications for DRT and changes in HIV RNA load were recorded. Between January 2000 and December 2006, 57 patients had DRT. The most common indication for DRT was poor ART adherence (57.7% of patients). ART was changed in 50.9% of patients after DRT. Poor adherence was cited by clinicians for not changing ART significantly more often than any other reason (47.3%, P < 0.001). After DRT, significant improvement in HIV RNA load occurred independent of ART changes, though patients whose ART was modified were more likely to become undetectable (31.5% versus 7.0%, P < 0.001). Poor adherence was a significant factor for ordering DRT and for not changing ART in HIV-infected children.

Pharmacogenomics of Viral Diseases

Viral diseases are leading cause of deaths worldwide as WHO report suggests that hepatitis A virus (HAV) infects more than 80 % of the population of many developing countries. Viral hepatitis B (HBV) affects an estimated 360 million people, whereas hepatitis C affects 123 million people worldwide, and last but not least, at current, India has an HIV/AIDS population of approximately 2.4 million people and more than 30 million in whole world and now it has become a reason for 1.8 million death globally; thus, millions of people still struggle for their lives.

The progress in medical science has made it possible in overcoming the various fatal diseases such as small pox, chicken pox, dengue, etc., but human immunodeficiency viruses, influenza, and hepatitis virus have renewed challenge surprisingly. The obstacles and challenges in therapy include existence of antibiotic resistance strains of common organisms due to overuse of antibiotics, lack of vaccines, adverse drug reaction, and last but not least the susceptibility concerns. Emergence of pharmacogenomics and pharmacogenetics has shown some promises to take challenges. The discovery of human genome project has opened new vistas to understand the behaviors of genetic makeup in development and progression of diseases and treatment in various viral diseases. Current and previous decade have been engaged in making repositories of polymorphisms (SNPs) of various genes including drug-metabolizing enzymes, receptors, inflammatory cells related with immunity, and antigen-presenting cells, along with the prediction of risks. The genetic makeup alone is most likely an adequate way to handle the therapeutic decision-making process for previous regimen failure. With the introduction of new antiviral therapeutic agents, a significant improvement in progression and overall survival has been achieved, but these drugs have shown several adverse responses in some individuals, so the success is not up to the expectations. Research and acquisition of new knowledge of pharmacogenomics may help in overcoming the prevailing burden of viral diseases. So it will definitely help in selecting the most effective therapeutic agents, effective doses, and drug response for the individuals. Thus, it will be able to transform the laboratory research into the clinical bench side and will also help in understanding the pathogenesis of viral diseases with drug action, so the patients will be managed more properly and finally become able to fulfill the promise of the future.

Antiretroviral resistance in HIV-infected Saudi children failing first-line highly active antiretroviral therapy

BACKGROUND AND OBJECTIVES

The use of a potent combination of antiretroviral (ARV) drugs, so-called highly active ARV therapy (HAART), has dramatically improved the quality of life and overall survival of children with human immunodeficiency virus (HIV) infection. However, these benefits can be compromised by the development of drug resistance. Our objectives were to analyze the prevalence and pattern of HIV-drug resistance among HIV-infected children failing first-line HAART.

DESIGN AND SETTING

Retrospective study based on data obtained from July 2006 through January 2009 of prevalence of genotypic resistance estimated in HAART-treated children who experienced virologic failure (HIV RNA > 1000 copies/mL) at a tertiary care center in Riyadh.

PATIENTS AND METHODS

The characteristics of the study population and genotype resistance data were analyzed in ARV-treated children who experience virologic failure.

RESULTS

Among 22 children who underwent resistance testing, the prevalence of resistance to any drug was 86.4%. Inadequate adherence to ARVs in children with drug resistance was 91%. Twenty-four mutations were detected within the protease coding region and 14 in the reverse transcriptase (RT) coding region. In 80% of isolates piM36I was detected, while rtM184V was detected in 70% of the isolates and was associated with cross-resistance to at least two nucleoside RT inhibitors (NRTI). Clinically significant non-nucleoside RT inhibitors (NNRTI) resistance was conferred by rtK103N. The best ARV susceptibility was to lopinavir in the PI class. ARV resistance was not associated with geographic regions or the CDC classification status. Study children responded satisfactorily to genotype-guided treatment and intensive family counseling.

CONCLUSION

ARVs resistance is common among HIV-infected Saudi children who experienced virologic failure to HAART. Inadequate adherence is a common cause for resistance to ARVs in children. Mutations M36I and M184V were more frequent for PIs, NRTIs and NNRTIs. Evaluation of genotype tests should be considered in all children with therapeutic failure to guide future selection of ARV regimens. These data will help improve clinical management of HIV-infected children in Saudi Arabia.

Surveillance of transmitted drug-resistant HIV among young pregnant women in Ouagadougou, Burkina Faso

Burkina Faso began rapid antiretroviral therapy (ART) scale-up in 2003 and by December 2009, 26,448 individuals were on treatment. With rapid scale-up of ART, some degree of human immunodeficiency virus transmitted drug resistance (TDR) is inevitable. Following World Health Organization methods, between June 2008 and July 2009, Burkina Faso assessed TDR in primigravid pregnant women aged <25 years attending antenatal care clinics in Ouagadougou, Burkina Faso. TDR was classified as moderate (5%-15%) for both nucleoside reverse-transcriptase inhibitors and nonnucleoside reverse-transcriptase inhibitors. The observed moderate TDR in Ouagadougou is a cause for concern and calls for closer monitoring of Burkina Faso's ART program.

Prevalence of transmitted HIV drug resistance among newly diagnosed antiretroviral therapy-naive pregnant women in Lilongwe and Blantyre, Malawi

In 2006, a survey of transmitted human immunodeficiency virus (HIV) drug resistance (TDR) was conducted in Lilongwe, Malawi. The survey followed the World Health Organization method to classify TDR to nucleoside reverse transcriptase inhibitors (NRTIs), nonnucleoside reverse transcriptase inhibitors (NNRTIs), and protease inhibitors (PIs) among primigravid women aged <25 years. Results of the 2006 survey showed <5% TDR in all drug classes. In 2009, TDR surveys using the same method were repeated in Lilongwe and expanded to Blantyre. Findings show that in Lilongwe TDR to NRTIs and PIs was <5%, whereas TDR to NNRTIs was 5%-15%. In Blantyre, TDR was <5% to all drug classes. Observed moderate TDR in Lilongwe is cause for concern and signals the need for closer monitoring of Malawi's antiretroviral therapy program.

Genotypic and phenotypic cross-drug resistance of harboring drug-resistant HIV type 1 subtype B' strains from former blood donors in central Chinese provinces

The objective of this study was to assess the patterns of genotypic and phenotypic resistance in a population of blood donor patients infected with HIV-1 subtype B' (Thai B', a clade of HIV-1 B) from central China, previously treated and harboring NRTI and NNRTI resistance mutations, with the purpose of designing effective therapeutic regimens. The HIV-1 pol genes from 65 patients were sequenced and estimated for drug resistance while the viruses isolated from the patients were used to analyze the phenotype based on the TZM-bl cell line. All the HIV-1 strains harboring one or more drug resistance mutations to HIV-1 RTIs possessed high cross-resistance to EFV (100%) and DLV (92%), as well as to ABC (84%) and TDF (77%), which are much higher than both FTC and 3TC (42%). There were more thymidine analog mutation (TAM)-associated mutations in the AZT/ddI/NVP group (62.5%) than in the d4T/ddI/NVP group (32.65%). A phenotypic assay showed high concordance between genotypic and phenotypic cross-resistance. This study showed there was a high level of cross-drug resistance to HIV-1 RTIs among Chinese AIDS patients harboring resistant strains, and there is also a high prevalence of primary resistance to 3TC, suggesting that one important recommendation should be the realization of genotypes in all naive patients due to the high prevalence of NRTI and NNRTI mutations.

Analysis of the percentage of human immunodeficiency virus type 1 sequences that are hypermutated and markers of disease progression in a longitudinal cohort, including one individual with a partially defective Vif

Hypermutation, the introduction of excessive G-to-A substitutions by host proteins in the APOBEC family, can impair replication of the human immunodeficiency virus (HIV). Because hypermutation represents a potential antiviral strategy, it is important to determine whether greater hypermutation is associated with slower disease progression in natural infection. We examined the level of HIV-1 hypermutation among 28 antiretroviral-naive Kenyan women at two times during infection. By examining single-copy gag sequences from proviral DNA, hypermutation was detected in 16 of 28 individuals. Among individuals with any hypermutation, a median of 15% of gag sequences were hypermutated (range, 5 to 43%). However, there was no association between the level of gag hypermutation and the viral load or CD4 count. Thus, we observed no overall relationship between hypermutation and markers of disease progression among individuals with low to moderate levels of hypermutation. In addition, one individual sustained a typical viral load despite having a high level of hypermutation. This individual had 43% of gag sequences hypermutated and harbored a partially defective Vif, which was found to permit hypermutation in a peripheral blood mononuclear cell culture. Overall, our results suggest that a potential antiviral therapy based on hypermutation may need to achieve a substantially higher level of hypermutation than is naturally seen in most individuals to impair virus replication and subsequent disease progression.

DNA microarrays in the clinic: infectious diseases

We argue that the most-promising area of clinical application of microarrays in the foreseeable future is the diagnostics and monitoring of infectious diseases. Microarrays for the detection and characterization of human pathogens have already found their way into clinical practice in some countries. After discussing the persistent, yet often underestimated, importance of infectious diseases for public health, we consider the technologies that are best suited for the detection and clinical investigation of pathogens. Clinical application of microarray technologies for the detection of mycobacteria, Bacillus anthracis, HIV, hepatitis and influenza viruses, and other major pathogens, as well as the analysis of their drug-resistance patterns, illustrate our main thesis.

Resampling-Based Multiple Testing Methods with Covariate Adjustment: Application to Investigation of Antiretroviral Drug Susceptibility

Identifying genetic mutations that cause clinical resistance to antiretroviral drugs requires adjustment for potential confounders, such as the number of active drugs in a HIV-infected patient's regimen other than the one of interest. Motivated by this problem, we investigated resampling-based methods to test equal mean response across multiple groups defined by HIV genotype, after adjustment for covariates. We consider construction of test statistics and their null distributions under two types of model: parametric and semiparametric. The covariate function is explicitly specified in the parametric but not in the semiparametric approach. The parametric approach is more precise when models are correctly specified, but suffer from bias when they are not; the semiparametric approach is more robust to model misspecification, but may be less efficient. To help preserve type I error while also improving power in both approaches, we propose resampling approaches based on matching of observations with similar covariate values. Matching reduces the impact of model misspecification as well as imprecision in estimation. These methods are evaluated via simulation studies and applied to a data set that combines results from a variety of clinical studies of salvage regimens. Our focus is on relating HIV genotype to viral susceptibility to abacavir after adjustment for the number of active antiretroviral drugs (excluding abacavir) in the patient's regimen.

Threshold survey evaluating transmitted HIV drug resistance among public antenatal clinic clients in Addis Ababa, Ethiopia

Background

Expanded access to HIV therapy in the developing world raises serious concerns regarding the potential emergence and transmission of drug-resistant HIV strains. Although HIV drug resistance surveillance is recommended to track transmitted HIV drug resistance among newly infected individuals, the financial constraints in resource-limited countries prohibit such surveillance on a regular basis. The World Health Organization (WHO) recently introduced guidelines to address this issue.

Methods

A survey was conducted in Ethiopia following the WHO guidelines to assess transmitted HIV drug resistance among recently HIV-infected individuals in Addis Ababa. Antiretroviral drug usage started 3 years earlier than commencement of the current expanded access to antiretroviral therapy in Ethiopia.

Results

Of 75 eligible samples, 39 (52%) were successfully sequenced and genotyped in the protease and reverse transcriptase region, using both the ViroSeq® and TrueGene® genotyping systems, and analysed for drug resistance mutations using an algorithm from the Stanford HIV Reverse Transcriptase and Protease Database. The analysis revealed that transmitted HIV drug resistance in Addis Ababa is below the 5% threshold level for all three classes of antiretrovirals.

Conclusions

The current first-line antiretroviral therapy strategy can be used with confidence in Ethiopia at this time; however, Ethiopia should conduct similar periodic surveys that include the capitals of Ethiopia's larger regional states to ensure early detection of any changes in the country's HIV drug resistance trend.

Dual-reporter phenotypic assay for human immunodeficiency viruses

We have established a novel human immunodeficiency virus (HIV) tandem-reporter assay using HIV receptor-transduced NP-2 cells with long terminal repeat-controlled beta-galactosidase, inserted internal ribosome entry site, and secretary alkaline phosphatase genes. This assay allows users to detect replication of clinical isolates, indicating its useful application as an HIV phenotypic assay.

In vitro drug susceptibility analysis of hepatitis B virus clinical quasispecies populations

Analysis of the replication and drug resistance of patient serum hepatitis B virus (HBV) populations can contribute to the therapeutic management of chronic hepatitis B. We developed a procedure for cloning serum HBV quasispecies populations and for phenotypic analysis of the cloned populations for in vitro drug susceptibility. Equivalent sequences were compared to the respective serum HBV DNAs of the cloned quasispecies by population sequencing. Analysis of individual clones revealed that each population contained a diversity of HBV quasispecies. Furthermore, secreted HBV in the supernatant following transfection of the quasispecies populations remained mostly unchanged from the respective input populations. HBV obtained from patients who had developed resistance to adefovir or lamivudine, as demonstrated by development of the rtA181V or rtL180M/M204V mutations in HBV polymerase, respectively, were tested. Phenotypic analysis demonstrated that a population containing the HBV rtA181V mutation showed a 2.9-fold increase in the 50% effective concentration (EC(50)) for adefovir compared to the wild-type baseline isolate, while the lamivudine-resistant HBV quasispecies population showed a >1,000-fold increase in the lamivudine EC(50). In summary, a strategy of cloning full genome HBV quasispecies populations from patient sera was developed, which could provide a useful tool in clinical HBV drug resistance phenotyping and studies of the evolution of clinical viral species.

A new strategy based on recombinant viruses as a tool for assessing drug susceptibility of human immunodeficiency virus type 1

The emergence of drug-resistant variants during antiretroviral therapy is a serious obstacle to sustained suppression of the human immunodeficiency virus type 1 (HIV-1). For that reason, resistance assays are essential to guide clinicians in the selection of optimal treatment regimens. Genotypic assays are less expensive and results are available faster than phenotypic assays. However, in heavily experienced patients with multiple treatment failures interpretation of complex mutation patterns remains difficult, and in these cases phenotypic assays are recommended. This report describes a novel recombinant virus assay where protease (PR) and reverse transcriptase (RT) sequences derived from the plasma isolated from patients are introduced into the back-bone of an HIV molecular clone that expresses Renilla luciferase protein in the place of nef gene. All drug resistance profiles analyzed correlate with previously reported data and showed high reproducibility. This assay, in addition to a fast (completed in 10 days), precise, reproducible and automated method, presents several advantages as compared to other phenotypic assays. The system described below allows the generation of recombinant viruses with multiples cycles of replication carrying a reporter gene in their genomes. These features increase the sensitivity of the test, an important aspect to be considered in the evaluation of less fit viral isolates. In conclusion, the assay permits the quantitation of the level of resistance of clinical HIV-1 isolates to PR and RT inhibitors.

Genotype and Phenotype Patterns of Drug-Resistant HIV-1 Subtype B′ (Thai B) Isolated From Patients Failing Antiretroviral Therapy in China

Many AIDS patients in China who received free-of-charge antiretroviral therapeutics, including nucleoside reverse transcriptase inhibitors (NRTIs) and nonnucleoside reverse transcriptase inhibitors (NNRTIs), showed significant life improvement. Increasing numbers of patients, however, are experiencing antiretroviral therapy failure due to the emergence of drug-resistant viruses. The aim of this study was to investigate the genotypic and phenotypic drug resistance patterns of HIV-1 subtype B' variants, which are prevalent in China, in order to rationally design more efficient anti-HIV-1 regimens for future treatment of AIDS patients. 13 out of 16 patients (81%) who were treated with two NRTIs (ddI, and d4T or AZT) and one NNRTI (NVP) exhibited high resistance to NVP, 8 of them with a >1,000 IC50 fold increase. Five codons (101, 103, 108, 181, and 190) were involved in the NVP-resistant mutations, and K103N and Y181C mutations were predominant in these isolates. Fifteen isolates were resistant to at least one of the NRTIs, with high resistance to AZT (>10 IC50 fold increase) and intermediate resistance to d4T or ddI (approximately 4 IC50 fold increase). More than 10 codons were involved in the NRTI-resistant mutation and located in two regions (M41-V75 and T215-K219) of the reverse transcriptase. Concordance between the genotype and phenotype patterns for both NRTIs and NNRTI were detected in a majority of the isolates, suggesting that phenotypic resistance is predictable from genotyping assays, which are faster and less expensive than phenotypic assay. Because NVP and AZT can induce high resistances in these patients, these two drugs should be replaced with others more effective NNRTIs and NRTIs.

Approach to salvage antiretroviral therapy in heavily antiretroviral-experienced HIV-positive adults

Despite dramatic declines in HIV-associated morbidity and mortality as a result of highly active antiretroviral therapy, management of heavily treatment-experienced patients remains complex and challenging. Treatment response rates with subsequent antiretroviral regimens are lower than with initial antiretroviral therapy. Additionally, increased mortality has been associated with multidrug-resistant HIV. We review data relevant to management of such patients and offer a systematic approach to constructing a salvage antiretroviral regimen.

Resistance of human hepatitis B virus to reverse transcriptase inhibitors: from genotypic to phenotypic testing

The treatment of HBV infected patients with analogues of nucleos(t)ides, including lamivudine and adefovir dipivoxil, has significantly increased the rate of anti-HBe seroconversion and therefore reduced the impact of chronic hepatitis B (CHB) on liver disease. Altogether, these antivirals have offered novel options for the treatment of patients who did not respond to previous therapy with interferon alpha, the only available treatment against CHB until 1998. However, therapies using analogues of nucleos(t)ides have been confronted with viral resistances which are often associated to with worsening of liver disease. Drug resistance is conferred by the appearance of one or several mutations within the HBV polymerase gene. These mutations confer to the mutant viral population a phenotypic advantage over the wild-type pretherapeutic viral quasispecies, as they induce a reduction of drug susceptibility of mutant strains in vivo. This reduction of drug susceptibility can be as well measured in vitro, i.e in cell culture, using phenotypic assays. The detection of these mutations has become of crucial importance to better adapt clinical option to the virological status of the patient. Genotypic and more recently phenotypic assays have been developed and both assays can be used for drug resistance testing. Genotypic assay gives information about already characterized mutations associated with viral resistance, while phenotypic testing measures the overall drug susceptibility of patient-derived viral strains in cell culture. These assays are described and their potential use in the clinical setting is discussed.

Net benefits of resistance testing directed therapy compared with standard of care in HIV-infected patients with virological failure: A meta-analysis

BACKGROUND

We incorporated the latest available information to evaluate the net benefit of using resistance testing in HIV-infected patients with virological failure.

METHODS

Meta-analysis of randomized controlled trials comparing the clinical impact of selecting antiretroviral therapy according to results of resistance testing (phenotype or genotype) or according to the standard of care. The population studied included HIV-infected patients with virological failure. The outcome measures were the proportion of patients with HIV-RNA below the detection limit, and the decline in HIV-RNA and increase in CD4 lymphocyte count at the end of follow-up (< or = 24 weeks). Clinical trials were identified through searches in MEDLINE, EMBASE and proceedings from major infectious diseases meetings.

RESULTS

Eight trials including a total of 1810 patients were eligible. Therapy guided by resistance testing resulted in a higher percentage of patients with HIV-1 RNA below the detection limit at the end of follow-up (< or = 24 weeks) as compared with the standard of care (40.2% vs. 32.9%). The pooled risk ratio was 1.23; 95% CI 1.09-1.40, p = 0.0009; test for heterogeneity I(2)=0%; p = 0.46). The number needed to treat [NNT] was 13 (95% CI: 9-25). Subgroup analysis showed greater benefits in therapy guided by genotype testing with expert interpretation, when compared with standard of care (NNT: 5; 95% CI: 3-9; p = 0.06). The heterogeneity among trials for evaluating HIV-1 RNA decline and CD4 lymphocyte cell count increase made unfeasible pooling the results across studies.

CONCLUSION

Genotype testing with expert interpretation showed the greatest benefit for guiding therapy in patients with HIV infection and virological failure.

Comparative pharmacogenomics of antiretroviral and cytotoxic treatments

Few genetic markers are used routinely to predict clinical effectiveness and toxic effects despite the fact that physicians and their patients are consistently confronted with this balance. Because one of the goals of pharmacogenomics is to identify individuals and target populations that might have adverse outcomes, pharmaceutical companies have been reluctant to use a strategy that might identify patients who are not eligible for a particular treatment. This view is changing because drug-discovery programmes and treatments that target specific pathways, are showing improvements in surrogate and survival endpoints. HIV and cancer are now regarded as chronic diseases, which commonly need life-long systemic treatment from the time of diagnosis. HIV and cancer medicine have used pharmacogenomics to some extent in clinical care. Common and classic features of pharmacogenomics that are related to both antiretroviral treatment and to cytotoxic treatment are discussed in this review, providing a framework for individual treatment of these diseases.

Economic models of antiretroviral therapy: searching for the optimal strategy

The diffusion of protease inhibitors and non-nucleoside reverse transcriptase inhibitors in the US in 1996 and 1997 reduced the number of deaths attributable to HIV disease and changed the way we think about the illness. Today, HIV disease may be deemed a fairly expensive chronic condition rather than an intolerably expensive fatal illness. Although most studies have found that patients receiving new drug therapies are hospitalised less frequently than patients who received early drug therapies, it is unclear whether the diffusion of new drug therapies has increased or decreased the annual cost of care. However, it is evident that the diffusion of new drug therapies has increased the lifetime cost of care. Analysts rely on models to simulate the course and cost of HIV disease. This study reviews the evolution of these models, paying particular attention to how these models estimate the cost of care. The primary findings of this review are that the economic data used in these models are often too imprecise to accurately identify the cost of each disease stage and are almost always outdated. Moreover, it was found that estimates of drug costs in these models may not accurately reflect actual expenditures.

Pathogen Detection in the Genomic Era

In the 21st century, one of the greatest challenges to public health and clinical microbiologists is the rapid detection and identification of emerging and reemerging pathogens. Complex factors such as genetic variation in the host and pathogen, environmental changes, population pressures, and global travel can all influence the emergence of infectious diseases. The SARS epidemic of 2003 highlighted the potential of an emerging pathogen to spread globally in a very short time frame (Peruski and Peruski, 2003). The diagnostics of such infectious diseases has been greatly affected in the past 20 years. No longer is cultivation and microscopy the only means of detecting infectious agents. With the introduction of molecular diagnostics, the ability to detect minute amounts of microbial nucleic acids in clinical specimens has revolutionized clinical microbiology. In particular, the utility of PCR allows the detection and quantitation of specific agents in a matter of hours. PCR sequencing of specific segments of nucleic acid allows for the determination of specific drug resistance that now aids in guiding viral therapies.

In vitro synthesis of enzymatically active HIV-1 protease for rapid phenotypic resistance profiling

BACKGROUND

Given the expanding antiretroviral therapy, inexpensive and fast HIV drug resistance assays are urgently needed. In this view, we have developed a novel phenotypic resistance test for HIV-1 protease inhibitors (PIs) based on recombinant expression of patient-derived HIV PR in Escherichia coli and subsequent enzymatic testing in a fluorescent readout.

OBJECTIVES

To facilitate and expedite the test procedure, we have introduced coupled in vitro transcription/translation using a commercially available technology called RTS for producing enzymatically active HIV-1 protease (PR).

STUDY DESIGN

We expressed one wild type PR and one highly resistant mutant starting from molecular clones as well as three patient-derived PRs. The amplified PR gene was either ligated into an expression vector or directly used as a template for the in vitro transcription/translation reaction. Enzymatic susceptibility data derived from in vitro expressed PRs were correlated to the respective results from E. coli expression and genotypic evaluation.

RESULTS

All tested enzymes were obtained in sufficient quantities for complete resistance profiling to five PIs. The PRs required no purification prior to the enzymatic assay. Inhibition constants and enzymatic resistance factors compared well to corresponding data from PRs expressed in parallel in E. coli. Enzymatic resistance was in good agreement with the respective PR genotype.

CONCLUSION

The presented in vitro transcription/translation system represents a novel approach for HIV PR expression starting from molecular clones or patient samples. Coupled with the enzyme-kinetic PR assay recently developed in our group it allows to sensitively quantify resistance to PIs. The test system is significantly less laborious and faster than currently available phenotypic drug resistance assays.

Model for assessment of proficiency of human immunodeficiency virus type 1 sequencing-based genotypic antiretroviral assays

Use of sequencing-based genotyping as a diagnostic assay for human immunodeficiency virus (HIV) antiretroviral resistance is increasing. Periodic evaluation of the proficiency of laboratories performing this assay should be established. It is important to identify components of the assay that influence the generation of reliable sequencing data and that should and can be monitored. A model was developed to determine what parameters were reasonable and feasible for assessing the performance of genotyping assays. Ten laboratories using the genotyping platform, HIV-1 Genotyping System (HGS) v. 1 and software versions 1.1 or 2.0, participated in two rounds of testing. For each round, each group was sent a panel consisting of three clinical samples to sequence in real time. Six months later, seven laboratories using the TRUGENE HIV-1 Genotyping Kit participated in a separate round, working with both panels at the same time. Analysis of the data showed that one main indicator of genotyping proficiency was achievement of > or =98% sequence homology of a sample tested to a group consensus sequence for that sample. A second was concordant identification of codons at sites identified with resistance mutations in the sample, although scoring of these criteria is still undetermined from this study. These criteria are applicable to all sequence-based genotyping platforms and have been used as a baseline for assessing the performance of genotyping for the determination of antiretroviral resistance in our ongoing proficiency program.

Nucleic acid testing for viral burden and viral genotyping

BACKGROUND

Molecular diagnostics plays an important role in the diagnosis and clinical management of a wide array of infectious diseases.

METHODS

Advances in molecular technology and methods of detecting nucleic acid sequences have revolutionized the field of virology. These developments are reflected by the rapid diagnosis and monitoring of viral agents as well as assessment of clinical disease associated with viral infections. In addition to many commercially available molecular based assays, many laboratories offer in-house developed assays for a variety of viral targets. The introduction of real-time PCR technology has made a large impact on virology testing.

CONCLUSIONS

The role of real-time PCR for the diagnosis of viral infections is enhanced by the accuracy, rapidity and ability to quantitate viral target sequences.

TDM: Therapeutic Drug Measuring or Therapeutic Drug Monitoring?

The third round of the International Interlaboratory Quality Control Program for Therapeutic Drug Monitoring in HIV infection (QC-program) consisted of the analysis not only of plasma samples but also of patient cases. The case was composed of different topics related to the therapeutic drug monitoring of antiretroviral drugs. The participants were asked to give recommendations concerning dose adjustments, changes to the regimen, and drug-drug interactions to observe whether the expert recommendations were comparable. Of the 30 participants of the QC-program, 16 returned their comments and recommendations with regard to the patient case. The drug level was easy to judge: approximately 90% were able to correctly do so. Almost half of the recommendations (44%) given were satisfactory. Levels of knowledge regarding HIV treatment appeared to be variable among the respondents and for this reason were partly incomparable.

Approach to the Treatment-experienced patient

Failure of antiretroviral therapy can occur for a variety of reasons, but is often caused by or accompanied by drug resistance, which increases with continued time on nonsuppressive, failing regimens. Response to early virologic failure on an initial regimen may be associated with minimal or no resistance and can sometimes be managed simply by reinforcing adherence or by intensifying therapy. Resistance testing is an important tool for managing patients who are failing therapy; it should be used in most cases to guide selection of the next regimen. For patients with extensive treatment experience and drug resistance, there are a variety of approaches that have been suggested when fully suppressive options are not available. Clinicians caring for such patients must balance the benefit of slower progression associated with continued therapy against the risk of increasing drug resistance and loss of future treatment options.

Complementation in cells cotransfected with a mixture of wild-type and mutant human immunodeficiency virus (HIV) influences the replication capacities and phenotypes of mutant variants in a single-cycle HIV resistance assay

The impact of cotransfection of mixtures of mutant and wild type (WT) virus on the observed phenotype and replication capacity (RC) in a single-cycle human immunodeficiency virus (HIV) phenotypic assay has been investigated by cotransfecting mutant HIV clones expressing the firefly luciferase expression gene with a WT clone expressing Renilla luciferase. Four mutant constructs with different genotypes displayed <1% RC when transfected alone. Cotransfection of as little as 9% of the WT clone resulted in an 18- to 33-fold increase in the RC of the mutant clones. In addition, the 50% inhibitory concentration (IC(50)) of lopinavir against seven mutant clones decreased by up to 97% after incremental cotransfection of 9 to 50% of the WT clone. The enhancement of RC and decrease in IC(50) for mutant variants following cotransfection with the WT variant appear to be due to complementation rather than genetic recombination. These findings suggest that the RC and susceptibility of plasma isolates from patients who are off therapy or not adherent to treatment, in which WT virus may expand to significant levels, should be interpreted with caution.

Human immunodeficiency virus type 1 infection in Oman: antiretroviral therapy and frequencies of drug resistance mutations

Highly active antiretroviral therapy (HAART), consisting mainly of two nucleoside reverse transcriptase inhibitors (NRTIs) and one protease inhibitor (PI), is offered to < 10% of HIV-infected subjects in Oman. The aims of the present study were to determine the frequency of resistance-associated mutations in these patients, and to assess the contribution of drug resistance to treatment outcome. Among 29 patients on HAART for > or =6 months, virological, failure was observed in 27 (93%). Genotypic analysis indicated that in five of these 27 patients, there were no mutations that confer resistance to reverse transcriptase inhibitors (RTIs). The genotypes of 17 other patients carried one or two RTI mutations, mainly the lamivudine-associated resistance mutation M184V. Three or more RTI mutations were found in only five (14.7%) patients with virological failure, including three patients on the nonnucleoside RTI efavirenz. Major PI mutations were infrequent, and were detected in seven (26%) of 27 patients failing HAART, mainly as single mutation at codons 82 or 90. In contrast, accessory mutations in the protease gene were present in all patients. However, there were significant differences in the prevalence of accessory mutations at codons 36 and 77 among clade B and non-B viruses. When genotypic data of this study were used to change therapy of seven patients whose isolates had multiple resistance mutations, adequate viral suppression was observed in five. Our results indicate that the high rate of treatment failure among patients in Oman is mainly due to factors other than resistance to antiretroviral drugs. These factors, which may include nonadherence to therapy and treatment interruptions, need to be investigated.

Higher efavirenz concentrations determine the response to viruses carrying non-nucleoside reverse transcriptase resistance mutations

We examined the influence of both efavirenz plasma concentrations and non-nucleoside reverse transcriptase (NNRTI) resistance mutations on the antiviral activity of efavirenz in patients experiencing early virological failure under nevirapine-containing regimens. Up to 41% of patients reach less than 50 copies/ml at 48 weeks. No association was found between the presence of NNRTI resistance mutations and virological outcome. Nevertheless, patients responding virologically and carrying NNRTI-resistant viruses had higher efavirenz levels than those who did not respond.

A new strategy for studying in vitro the drug susceptibility of clinical isolates of human hepatitis B virus

Resistance of hepatitis B virus (HBV) to antivirals has become a major clinical problem. Our objective was to develop a new method for the cloning of naturally occurring HBV genomes and a phenotypic assay capable of assessing HBV drug susceptibility and DNA synthesis capacity in vitro. Viral DNA was extracted from sera and was amplified by polymerase chain reaction, and amplicons were cloned into vectors that enable, after cell transfection, the initiation of the intracellular HBV replication cycle. Single or multiple clones were used to transfect Huh7 cells. The viral DNA synthesis capacity and drug susceptibility were determined by measuring the level of intracellular DNA intermediate, synthesized in absence or presence of antiviral, using Southern blot analysis. We have developed, calibrated, then used this phenotypic assay to determine the drug susceptibility of HBV quasispecies isolated throughout the course of therapy from patients selected according to their mutation profile. A multiclonal and longitudinal analysis enabled us to measure the variation of drug susceptibility of different viral quasispecies by comparison of IC(50)/IC(90)s with standards. The presence of famciclovir- or lamivudine-induced mutations in the viral population caused a change in viral DNA synthesis capacity and drug susceptibility in vitro, demonstrating the clinical relevance of the assay. In conclusion, our phenotypic assay enables the in vitro characterization of DNA synthesis capacity and drug susceptibility of HBV quasispecies isolated from patients. This assay should allow a better monitoring of patients undergoing antiviral therapy, as well as the screening of novel drugs on emerging resistant strains.

Baseline Resistance and Virological Outcome in Patients with Virological Failure who Start a Regimen Containing Abacavir: Eurosida Study

Objectives

To investigate the ability of several HIV-1 drug-resistance interpretation systems, as well as the number of pre-specified combinations of abacavir-related mutations, to predict virological response to abacavir-containing regimens in antiretroviral therapy-experienced, abacavir-naive patients starting an abacavir-containing regimen in the EuroSIDA cohort.

Patients and methods

A total of 100 HIV-infected patients with viral load (VL) >500 copies/ml who had a plasma sample available at the time of starting abacavir (baseline) were included. Resistance to abacavir was interpreted by using eight different commonly used systems that consisted of rules-based algorithms or tables of mutations. Correlation between baseline abacavir-resistance mutations and month 6 virological response was performed on this population using a multivariable linear regression model accounting for censored data.

Results

The baseline VL was 4.36 log10 RNA copies/ml [interquartile range (IQR): 3.65–4.99 log10 RNA copies/ml] and the median CD4 cell count was 210 cells/μl (IQR: 67–305 cells/μl). Our patients were pre-exposed to a median of seven antiretrovirals (2–12) before starting abacavir therapy. The median (range) number of abacavir mutations (according to the International AIDS Society-USA) detected at baseline was 3.5 (0–8). Overall, the Kaplan–Meier estimate of the median month 6 VL decline was 0.86 log10 RNA copies/ml [95% confidence intervals (95% CI): 0.45–1.24]. The VL in those patients ( n=31) who intensified treatment by adding only abacavir decreased by a median 0.20 log10 RNA copies/ml (95% CI: -0.18; +0.94). The proportion of patients who harboured viruses fully resistant to abacavir among the eight genotypic resistance interpretation algorithms ranged from 12% [Agence Nationale de Recherches sur le SIDA (ANRS)] to 79% [Stanford HIV RT and PR Sequence Database (HIVdb)]. Some interpretation systems showed statistically significant associations between the predicted resistance status and the virological response while others showed no consistent association. The number of active drugs in the regimen was associated with greater virological suppression (additional month 6 VL reduction per additional sensitive drug=0.51, 95% CI: 0.15–0.88, P=0.006); baseline VL was also weakly associated (additional month 6 VL reduction per log10 higher=0.30, 95% CI: -0.02; +0.62, P=0.06). In contrast, the number of drugs previously received was associated with diminished viral reduction (additional month 6 VL reduction per additional drug=-0.14, 95% CI: -0.28; 0.00, P=0.05).

Conclusions

Our results revealed a high degree of variability among several genotypic resistance interpretation algorithms currently in use for abacavir. Therefore, the interpretation of genotypic resistance for predicting response to regimens containing abacavir remains a major challenge.

PCR-based diagnostics for infectious diseases: uses, limitations, and future applications in acute-care settings

Molecular diagnostics are revolutionising the clinical practice of infectious disease. Their effects will be significant in acute-care settings where timely and accurate diagnostic tools are critical for patient treatment decisions and outcomes. PCR is the most well-developed molecular technique up to now, and has a wide range of already fulfilled, and potential, clinical applications, including specific or broad-spectrum pathogen detection, evaluation of emerging novel infections, surveillance, early detection of biothreat agents, and antimicrobial resistance profiling. PCR-based methods may also be cost effective relative to traditional testing procedures. Further advancement of technology is needed to improve automation, optimise detection sensitivity and specificity, and expand the capacity to detect multiple targets simultaneously (multiplexing). This review provides an up-to-date look at the general principles, diagnostic value, and limitations of the most current PCR-based platforms as they evolve from bench to bedside.