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Deenan Pillay

Publications and source records attributed to Deenan Pillay.

At least 19 recordsLinked to original sources
PubMed2007

HIV-1 protease and reverse transcriptase mutations for drug resistance surveillance.

OBJECTIVES: Monitoring regional levels of transmitted HIV-1 resistance informs treatment guidelines and provides feedback on the success of HIV-1 prevention efforts. Surveillance programs for estimating the frequency of transmitted resistance are being developed in both industrialized and resource-poor countries. However, such programs will not produce comparable estimates unless a standardized list of drug-resistance mutations is used to define transmitted resistance. METHODS: In this paper, we outline considerations for developing a list of drug-resistance mutations for epidemiologic estimates of transmitted resistance. First, the mutations should cause or contribute to drug resistance and should develop in persons receiving antiretroviral therapy. Second, the mutations should not occur as polymorphisms in the absence of therapy. Third, the mutation list should be applicable to all group M subtypes. Fourth, the mutation list should be simple, unambiguous, and parsimonious. RESULTS: Applying these considerations, we developed a list of 31 protease inhibitor-resistance mutations at 14 protease positions, 31 nucleoside reverse transcriptase inhibitor-resistance mutations at 15 reverse transcriptase positions, and 18 non-nucleoside reverse transcriptase inhibitor-resistance mutations at 10 reverse transcriptase positions. CONCLUSIONS: This list, which should be updated regularly using the same or similar criteria, can be used for genotypic surveillance of transmitted HIV-1 drug resistance.

Anti-HIV Agents↗
PubMed2006

Assessment of automated genotyping protocols as tools for surveillance of HIV-1 genetic diversity.

BACKGROUND: The routine use of drug resistance testing provides an abundant source of HIV-1 sequence data. However, it is not clear how reliable standard genotyping of these sequences is for describing HIV-1 genetic variation and for detecting novel genetic variants and epidemiological trends. OBJECTIVES: To compare assignment of HIV-1 resistance test sequences to reference strains across commonly used genotyping protocols. METHODS: Subtype assignments were compared across three standard genotyping protocols for 10 537 resistance test sequences, representing approximately one-fifth of all reported infections in the United Kingdom. Sequences that were inconsistently genotyped across methods, or that were unassigned by at least one method, were examined for evidence of recombination using sliding-window-based approaches. RESULTS: Although agreement across methods was high for subtypes B, C and H, it was generally much lower (< 50%) for other subtypes. Disagreement between methods typically involved closely related, but epidemiologically distinct, groups or involved a significant proportion ( approximately 12%) of divergent sequences in which analysis revealed widespread evidence of recombination and a remarkable diversity of unusual recombinant forms. CONCLUSIONS: With frequent long-distance transfer of viral strains and widespread recombination between them, genetic and epidemiological relationships within HIV-1 are becoming increasingly complex. Current methods of subtype assignment vary in their ability to identify novel genetic variants and to distinguish epidemiologically distinct strains. Capturing meaningful epidemiological information from resistance test data will require a critical understanding of the methodologies used in order to appreciate the possible sources of error and misclassification.

Databases, Genetic↗
PubMed2006

The impact of transmitted drug resistance on the natural history of HIV infection and response to first-line therapy.

BACKGROUND: Transmission of drug-resistant HIV-1 is well recognized. However, the impact of such transmission on natural history of infection remains unknown. METHODS: Three hundred HIV-1-infected, antiretroviral-naive individuals, recruited between 1987 and 1993, and with resistance tests undertaken within 18 months of infection were assessed. We estimated the impact of transmitted drug resistance (TDR) on subsequent CD4 cell count decline in the absence of treatment. We also used Kaplan-Meier methods to assess the response to antiretroviral therapy based on the number of active drugs utilized (according to genotypic resistance results). RESULTS: Infection with any form of drug-resistant HIV-1 was associated with a steeper decline of CD4 cell count over the first year of infection. Estimated rates of decline in the first year were 5.0 [95% confidence interval (CI), 2.8-7.3] and 1.7 (95% CI, 0.8-2.6) radicalCD4 cells per year for TDR and no TDR, respectively (P = 0.005). For an individual at a CD4 cell count of 500 cells/microl at seroconversion, these rates correspond to a CD4 cell loss of 199 and 73 cells/microl, respectively, in the first year. Thereafter we found no evidence of a difference in the rate of CD4 cell decline (P = 0.32). Initiation of HAART after calendar year 2000, but not number of active drugs, was associated with improved responses. CONCLUSIONS: The impact of transmitted HIV-1 drug resistance on CD4 cell decline is time dependent, with greater rates of decline in the first year following infection. We found no evidence of a longer term effect of TDR on natural history of HIV-1 infection.

Adult↗
PubMed2006

Discordances between interpretation algorithms for genotypic resistance to protease and reverse transcriptase inhibitors of human immunodeficiency virus are subtype dependent.

The major limitation of drug resistance genotyping for human immunodeficiency virus remains the interpretation of the results. We evaluated the concordance in predicting therapy response between four different interpretation algorithms (Rega 6.3, HIVDB-08/04, ANRS [07/04], and VGI 8.0). Sequences were gathered through a worldwide effort to establish a database of non-B subtype sequences, and demographic and clinical information about the patients was gathered. The most concordant results were found for nonnucleoside reverse transcriptase (RT) inhibitors (93%), followed by protease inhibitors (84%) and nucleoside RT inhibitor (NRTIs) (76%). For therapy-naive patients, for nelfinavir, especially for subtypes C and G, the discordances were driven mainly by the protease (PRO) mutational pattern 82I/V + 63P + 36I/V for subtype C and 82I + 63P + 36I + 20I for subtype G. Subtype F displayed more discordances for ritonavir in untreated patients due to the combined presence of PRO 20R and 10I/V. In therapy-experienced patients, subtype G displayed a lot of discordances for saquinavir and indinavir due to mutational patterns involving PRO 90 M and 82I. Subtype F had more discordance for nelfinavir attributable to the presence of PRO 88S and 82A + 54V. For the NRTIs lamivudine and emtricitabine, CRF01_AE had more discordances than subtype B due to the presence of RT mutational patterns 65R + 115 M and 118I + 215Y, respectively. Overall, the different algorithms agreed well on the level of resistance scored, but some of the discordances could be attributed to specific (subtype-dependent) combinations of mutations. It is not yet known whether therapy response is subtype dependent, but the advice given to clinicians based on a genotypic interpretation algorithm differs according to the subtype.

Algorithms↗
PubMed2006

Evolution of transmitted HIV-1 with drug-resistance mutations in the absence of therapy: effects on CD4+ T-cell count and HIV-1 RNA load.

Sequence analysis of HIV-1 from 440 therapy-naive individuals included within the CASCADE study, who seroconverted within 18 months of the last negative test, identified 65 persons infected with a strain carrying resistance-associated mutations. Population-based sequencing was performed for 20 of these individuals during the therapy-free follow-up period. The median time of follow-up was 15 months (interquartile range from 10 to 23 months). Of these individuals, 12 showed subsequent evolution at the resistance positions, whereas the virus of 8 people was stable during this period. In the reverse transcriptase (RT) gene, the drug-resistant 215Y or 215F codons evolved to alternative codons in all six cases, 70R reverted to the wild-type 70K in 3 of the 4 individuals, 67N evolved only in 1 of 4 patients to a wild-type 67D, 215S evolved to wild-type 215T in 1 of 3 patients, 219N evolved to 219K in 1 of 2 patients, and one patient with 184V reversed to the wild-type 184M. The 181C variant evolved to the wild-type 181Y in 1 of 2 individuals. These codon changes were caused by single nucleotide mutations. No evolution was observed for other RT mutations: 41L, 69D, 69N, 190S, 210W, 215L, 215C, 215E and 219Q. In the protease gene, resistance mutations 84V and 90M were stable in 2 individuals. Comparing the CD4+ T-cell count of the 12 evolving versus the 8 stable cases revealed no statistically significant difference at the date of the first sequence following seroconversion. Interestingly, a lower CD4+ T-cell count was observed in the group without evolution at the second sequence time point (P = 0.043). No difference in HIV-1 RNA load was observed. These results, together with the apparent pressure to mutate at the resistance-associated positions exemplify the decreased fitness of viruses carrying 21 5Y/F, 70R or 184V.

Anti-HIV Agents↗
PubMed2005

Prevalence of transmitted HIV-1 drug resistance and the role of resistance algorithms: data from seroconverters in the CASCADE collaboration from 1987 to 2003.

OBJECTIVES: To examine factors influencing the rate of transmitted drug resistance (TDR) among seroconverters, with particular emphasis on 3 widely used genotypic drug resistance algorithms. METHODS: The study used data from CASCADE (Concerted Action on Seroconversion to AIDS and Death in Europe), a collaboration of seroconverter cohorts in Europe and Canada. Genotypic resistance data were derived within 18 months of the last seronegative test or date of laboratory evidence of acute infection and before the initiation of antiretroviral therapy. The Stanford algorithm was used to analyze each individual's nucleotide sequence. A multivariate logistic model was used to assess independent relationships between the presence of TDR and exposure category, sex, age at seroconversion, and year of seroconversion. The paper also describes 3 alternative definitions of resistance: the Stanford algorithm, the key resistance mutations defined by the International AIDS Society, and the Agence Nationale de Recherches sur le Sida (ANRS) algorithm. RESULTS: Forty-five of 438 patients (10.3%) seroconverting between 1987 and 2003 were infected with a drug-resistant HIV-1 variant. Forty patients (9.1%) showed resistance mutations to only 1 class of antiretroviral drugs, 2 (0.5%) to 2 classes, and 3 (0.7%) to 3 classes of antiretroviral therapy. It was suggested that individuals seroconverting later in calendar time were more likely to have TDR (relative risk 3.89 and 95% CI: 0.84 to 18.02, and relative risk 4.69 and 95% CI: 1.03 to 21.31, for 1996-1999 and 2000-2003, respectively, compared with pre-1996; P trend = 0.08). This trend was apparent regardless of the definition of TDR used. The total estimated proportion of individuals with TDR varied between 10.3% and 15.5% according to which definition was used. CONCLUSIONS: Evidence was found for the rise of TDR over time. A specific definition of what constitutes TDR rather than a simple list of mutations is needed.

Adolescent↗
PubMed2005

Determinants of HIV drug resistance mutations in plasma virus after treatment interruption.

This study examines the utility of resistance testing during treatment interruption, making comparisons with the current IAS guidelines. A total of 188/1279 tests (14%) were performed during treatment interruption; 69/188 tests (36.7%) demonstrated key mutations. Time off therapy and the total number of previous drugs were both significantly associated with the presence of mutations. We conclude that resistance testing is of value up to 3 months after treatment interruption, and may convey some benefit up to 12 months.

Drug Resistance, Multiple, Viral↗
PubMed2005

Time trends in primary resistance to HIV drugs in the United Kingdom: multicentre observational study.

OBJECTIVE: To examine whether the level of primary resistance to HIV drugs is increasing in the United Kingdom. DESIGN: Multicentre observational study. SETTING: All virology laboratories in the United Kingdom carrying out tests for HIV resistance as part of routine clinical care. PARTICIPANTS: 2357 people infected with HIV who were tested for resistance before receiving antiretroviral therapy. MAIN OUTCOME MEASURE: Prevalence of drug resistance on basis of the Stanford genotypic interpretation system. RESULTS: Over the study period (February 1996 to May 2003), 335 (14.2%, 95% confidence interval 12.8% to 15.7%) samples had mutations that conferred resistance to one or more antiretroviral drugs (9.3% high level resistance, 5.9% medium level resistance). The prevalence of primary resistance has increased markedly over time, although patterns are specific to drug class; the largest increase was for non-nucleoside reverse transcriptase inhibitors. In 2002-3, the prevalence of resistance to any antiretroviral drug to nucleoside or nucleotide reverse transcriptase inhibitors, to non-nucleoside reverse transcriptase inhibitors, or to protease inhibitors was 19.2% (15.7% to 23.2%), 12.4% (9.5% to 15.9%), 8.1% (5.8% to 11.1%), and 6.6% (4.4% to 9.3%), respectively. The risk of primary resistance was only weakly related to most demographic and clinical factors, including ethnicity and viral subtype. CONCLUSIONS: The United Kingdom has one of the highest reported rates of primary resistance to HIV drugs worldwide. Prevalence seems still to be increasing and is high in all demographic subgroups.

Adolescent↗
PubMed2005

Estimating HIV-1 drug resistance in antiretroviral-treated individuals in the United Kingdom.

Good estimates of the prevalence of human immunodeficiency virus drug resistance are important for assessing requirements for new drug classes and modeling the spread of resistance. However, little consensus exists on optimal methodologies to generate such data. To compare methodologies, we used the national data set of resistance tests from >4000 patients in the United Kingdom performed between 1998 and 2002. When single-time-point analysis (method 1) was used, the proportion of tests with any form of resistance was approximately 80%, with little time trend. When a cumulative model of resistance (method 2) was used and placed in the context of all treated patients, the prevalence of any resistance increased by year, reaching 17% of treated patients in 2002. Method 2 also nearly doubles estimates of numbers of individuals infected with multiclass drug-resistant virus. Our results identify an urgent need for new drugs within existing classes and new classes of antiretroviral therapy.

Anti-HIV Agents↗
PubMed2005

Impact of HIV-1 subtype and antiretroviral therapy on protease and reverse transcriptase genotype: results of a global collaboration.

BACKGROUND: The genetic differences among HIV-1 subtypes may be critical to clinical management and drug resistance surveillance as antiretroviral treatment is expanded to regions of the world where diverse non-subtype-B viruses predominate. METHODS AND FINDINGS: To assess the impact of HIV-1 subtype and antiretroviral treatment on the distribution of mutations in protease and reverse transcriptase, a binomial response model using subtype and treatment as explanatory variables was used to analyze a large compiled dataset of non-subtype-B HIV-1 sequences. Non-subtype-B sequences from 3,686 persons with well characterized antiretroviral treatment histories were analyzed in comparison to subtype B sequences from 4,769 persons. The non-subtype-B sequences included 461 with subtype A, 1,185 with C, 331 with D, 245 with F, 293 with G, 513 with CRF01_AE, and 618 with CRF02_AG. Each of the 55 known subtype B drug-resistance mutations occurred in at least one non-B isolate, and 44 (80%) of these mutations were significantly associated with antiretroviral treatment in at least one non-B subtype. Conversely, of 67 mutations found to be associated with antiretroviral therapy in at least one non-B subtype, 61 were also associated with antiretroviral therapy in subtype B isolates. CONCLUSION: Global surveillance and genotypic assessment of drug resistance should focus primarily on the known subtype B drug-resistance mutations.

Amino Acid Sequence↗
PubMed2005

Long term probability of detection of HIV-1 drug resistance after starting antiretroviral therapy in routine clinical practice.

BACKGROUND: Little is known about the long term risk of development of HIV-1 drug resistance for patients starting antiretroviral therapy (ART) with three or four drug regimens in routine clinical practice. METHODS: We analysed a large cohort study of patients seen in one of six large HIV clinics in and around London, UK. The focus of this analysis was on patients who started ART with two nucleosides plus either a single protease inhibitor (PI), a PI with ritonavir, abacavir or a non-nucleoside reverse transcriptase inhibitor (NNRTI). RESULTS: 4306 patients were followed; 1436 (33%) started with a single PI, 279 (6%) with a PI plus ritonavir, 156 (4%) with triple nucleosides and 2435 (57%) with an NNRTI. The overall cumulative risk of viral load failure was 38% by 6 years. Risk of > or =1 major IAS-USA mutation was 27% by 6 years; risk of mutations from at least two of the three main drug classes was 20% over the same period. These are lower limit estimates as test results were not available for many with viral load failure. Risk of PI mutations being detected in people who started ART with regimens containing a PI with ritonavir was significantly lower than the risk of NNRTI mutations being detected in those starting with NNRTI-containing regimens (relative hazard 0.3195% CI 0.15-0.61; p = 0.0008). CONCLUSION: In routine practice, rates of viral load failure and of resistance detection in patients who started ART with three or four drugs are appreciable.

Adult↗
PubMed2005

Genetic analysis reveals the complex structure of HIV-1 transmission within defined risk groups.

We explored the epidemic history of HIV-1 subtype B in the United Kingdom by using statistical methods that infer the population history of pathogens from sampled gene sequence data. Phylogenetic analysis of HIV-1 pol gene sequences from Britain showed at least six large transmission chains, indicating a genetically variable, but epidemiologically homogeneous, epidemic among men having sex with men. Through coalescent-based analysis, we showed that these chains arose through separate introductions of subtype B strains into the United Kingdom in the early to mid-1980s. After an initial period of exponential growth, the rate of spread generally slowed in the early 1990s, which is more likely to correlate with behavior change than with reduced infectiousness resulting from highly active antiretroviral therapy. Our results provide insights into the complexity of HIV-1 epidemics that must be considered when developing HIV monitoring and prevention initiatives.

Disease Outbreaks↗
PubMed2005

Transmission of HIV-1 during primary infection: relationship to sexual risk and sexually transmitted infections.

OBJECTIVE: To study primary HIV-1 infections (PHI) using molecular and epidemiological approaches in order to assess correlates of transmission in this population. METHODS: Individuals with PHI were recruited prospectively from a discrete cohort of 1235 individuals under follow-up in a well-defined geographical area between 1999 and 2003. PHI was diagnosed by one of the following: negative HIV antibody test within 18 months, evolving antibody response, or application of the serological testing algorithm for recent HIV seroconversion. The pol gene was sequenced to identify genotypic resistance and facilitate molecular epidemiological analysis. Clinical data were collected and linked in an irretrievable fashion when informed consent was obtained. RESULTS: A total of 103 individuals with PHI diagnosed between 1999 and 2003 were included in the study; 99 (96%) were male and 90 (91%) were men who have sex with men. Viruses from 35 out of 103 (34%) appeared within 15 phylogenetically related clusters. Significant associations with clustering were: young age, high CD4 cell count, number of sexual contacts, and unprotected anal intercourse (UAI) in the 3 months before diagnosis (P < 0.05 for all). High rates of acute sexually transmitted infections (STI) were observed in both groups with a trend towards higher rates in those individuals with viruses within a cluster (42.9 versus 27.9%; P = 0.13). CONCLUSION: High rates of partner change, UAI and STI are factors that facilitate onward transmission during PHI. More active identification of individuals during PHI, the management of STI and highly active antiretroviral therapy may all be useful methods to break transmission networks.

Acute Disease↗
PubMed2004

Long-term persistence of primary genotypic resistance after HIV-1 seroconversion.

Primary infection with drug-resistant HIV-1 is well documented. We have followed up patients infected with such viruses to determine the stability of resistance-associated mutations. Fourteen patients who experienced primary infection with genotypic evidence of resistance were followed for up to 3 years. Drug resistance-associated mutations persisted over time in most patients studied. In particular, M41L, T69N, K103N, and T215 variants within reverse transcriptase (RT) and multidrug resistance demonstrated little reversion to wild-type virus. By contrast, Y181C and K219Q in RT, occurring alone, disappeared within 25 and 9 months, respectively. Multidrug resistance in 2 patients was found to be stable for up to 18 months, the maximum period studied. We conclude that certain resistance-associated mutations are highly stable and these data support the recommendation that all new HIV diagnoses in areas where primary resistance may occur should undergo genotyping irrespective of whether the date of seroconversion is known.

Anti-HIV Agents↗
PubMed2004

Do patients who are infected with drug-resistant HIV have a different CD4 cell decline after seroconversion? An exploratory analysis in the UK Register of HIV Seroconverters.

Using data from the UK Register of HIV Sero-converters, we compared the rate of CD4 cell decline in antiretroviral-naive individuals with and without evidence of transmitted drug resistance (TDR). Although there was a suggestion that CD4 cell decline in the first year after seroconversion was faster in those with TDR,there was no evidence of a difference in the rate of decline thereafter. The virological and host determinants of this possible phenomenon are worth further exploration.

Adult↗
PubMed2004

Failure to clear persistent vaccine-derived neurovirulent poliovirus infection in an immunodeficient man.

BACKGROUND: Individuals who chronically excrete neurovirulent poliovirus of vaccine-origin are of considerable concern to the Global Polio Eradication programme. Chronic infection with such polioviruses is a recognised complication of hypogammaglobulinaemia. METHODS: We did a series of in-vitro and in-vivo therapeutic studies, with a view to clearing persistent neurovirulent poliovirus infection in an individual with common variable immunodeficiency, using oral immunoglobulin, breast milk (as a source of secretory IgA), ribavirin, and the anti-picornaviral agent pleconaril. We undertook viral quantitation, antibody neutralisation and drug susceptibility assays, and viral gene sequencing. FINDINGS: Long-term asymptomatic excretion of vaccine-derived neurovirulent poliovirus 2 was identified in this hypogammaglobulinaemic man, and was estimated to have persisted for up to 22 years. Despite demonstrable in-vitro neutralising activity of immunoglobulin and breast milk, and in-vitro antiviral activity of ribavirin, no treatment was successful at clearing the virus, although in one trial breast milk significantly reduced excretion levels temporarily. During the course of study, the virus developed reduced susceptibility to pleconaril, precluding the in-vivo use of this drug. Sequence analysis revealed the emergence of a methionine to leucine mutation adjacent to the likely binding site of pleconaril in these isolates. INTERPRETATION: Chronic vaccine-associated poliovirus infection in hypogammaglobulinaemia is a difficult condition to treat. It represents a risk to the strategy to discontinue polio vaccination once global eradication has been achieved.

Adult↗