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HIV Drug Resistance Mutations (DRMs) Detected by Deep Sequencing in Virologic Failure Subjects on Therapy from Hunan Province, China. PLoS One 2016; 11:e0149215. [PMID: 26895182 PMCID: PMC4760947 DOI: 10.1371/journal.pone.0149215] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 01/28/2016] [Indexed: 11/19/2022] Open
Abstract
Objective Determine HIV drug resistance mutations (DRMs) prevalence at low and high levels in ART-experienced patients experiencing virologic failure (VF). Methods 29 subjects from 18 counties in Hunan Province that experienced VF were evaluated for the prevalence of DRMs (Stanford DRMs with an algorithm value ≥15, include low-, intermediate and high-level resistance) by both Sanger sequencing (SS) and deep sequencing (DS) to 1% frequency levels. Results DS was performed on samples from 29 ART-experienced subjects; the median viral load 4.95×104 c/ml; 82.76% subtype CRF01_AE. 58 DRMs were detected by DS. 18 DRMs were detected by SS. Of the 58 mutations detected by DS, 40 were at levels <20% frequency (26 NNRTI, 12 NRTI and 2 PI) and the majority of these 95.00% (38/40) were not detected by standard genotyping. Of these 40 low-level DRMs, 16 (40%) were detected at frequency levels of 1–4% and 24 (60%) at levels of 5–19%. SS detected 15 of 17 (88.24%) DRMs at levels ≥ 20% that were detected by DS. The only variable associated with the detection of DRMs by DS was ART adherence (missed doses in the prior 7 days); all patients that reported missing a dose in the last 7 days had DRMs detected by DS. Conclusions DS of VF samples from treatment experienced subjects infected with primarily AE subtype frequently identified Stanford HIVdb NRTI and NNRTI resistance mutations with an algorithm value 15. Low frequency level resistant variants detected by DS were frequently missed by standard genotyping in VF specimens from antiretroviral-experienced subjects.
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Xiaobai Z, Xi C, Tian H, Williams AB, Wang H, He J, Zhen J, Chiarella J, Blake LA, Turenchalk G, Kozal MJ. Prevalence of WHO transmitted drug resistance mutations by deep sequencing in antiretroviral-naïve subjects in Hunan Province, China. PLoS One 2014; 9:e98740. [PMID: 24896087 PMCID: PMC4045886 DOI: 10.1371/journal.pone.0098740] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2013] [Accepted: 05/07/2014] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND There are few data on the prevalence of WHO transmitted drug resistance mutations (TDRs) that could affect treatment responses to first line antiretroviral therapy (ART) in Hunan Province, China. OBJECTIVE Determine the prevalence of WHO NRTI/NNRTI/PI TDRs in ART-naïve subjects in Hunan Province by deep sequencing. METHODS ART-naïve subjects diagnosed in Hunan between 2010-2011 were evaluated by deep sequencing for low-frequency HIV variants possessing WHO TDRs to 1% levels. Mutations were scored using the HIVdb.stanford.edu algorithm to infer drug susceptibility. RESULTS Deep sequencing was performed on samples from 90 ART-naïve subjects; 83.3% were AE subtype. All subjects had advanced disease (average CD4 count 134 cells/mm3). Overall 25.6%(23/90) of subjects had HIV with major WHO NRTI/NNRTI TDRs by deep sequencing at a variant frequency level ≥ 1%; 16.7%(15/90) had NRTI TDR and 12.2%(11/90) had a major NNRTI TDR. The majority of NRTI/NNRTI mutations were identified at variant levels <5%. Mutations were analyzed by HIVdb.stanford.edu and 7.8% of subjects had variants with high-level nevirapine resistance; 4.4% had high-level NRTI resistance. Deep sequencing identified 24(27.6%) subjects with variants possessing either a PI TDR or hivdb.stanford.edu PI mutation (algorithm value ≥ 15). 17(19.5%) had PI TDRs at levels >1%. CONCLUSIONS ART-naïve subjects from Hunan Province China infected predominantly with subtype AE frequently possessed HIV variants with WHO NRTI/NNRTI TDRs by deep sequencing that would affect the first line ART used in the region. Specific mutations conferring nevirapine high-level resistance were identified in 7.8% of subjects. The majority of TDRs detected were at variant levels <5% likely due to subjects having advanced chronic disease at the time of testing. PI TDRs were identified frequently, but were found in isolation and at low variant frequency. As PI/r use is infrequent in Hunan, the existence of PI mutations likely represent AE subtype natural polymorphism at low variant level frequency.
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Affiliation(s)
- Zou Xiaobai
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan Province, China
| | - Chen Xi
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan Province, China
- * E-mail:
| | - Hongping Tian
- Yale-China Association, New Haven, Connecticut, United States of America
| | - Ann B. Williams
- UCLA School of Nursing, Los Angeles, California, United States of America
| | | | - Jianmei He
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan Province, China
| | - Jun Zhen
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan Province, China
| | - Jennifer Chiarella
- Yale School of Medicine, New Haven, Connecticut, United States of America
| | | | | | - Michael J. Kozal
- Yale School of Medicine, New Haven, Connecticut, United States of America
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Bansode V, McCormack GP, Crampin AC, Ngwira B, Shrestha RK, French N, Glynn JR, Travers SA. Characterizing the emergence and persistence of drug resistant mutations in HIV-1 subtype C infections using 454 ultra deep pyrosequencing. BMC Infect Dis 2013; 13:52. [PMID: 23363532 PMCID: PMC3740783 DOI: 10.1186/1471-2334-13-52] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2012] [Accepted: 01/28/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The role of HIV-1 RNA in the emergence of resistance to antiretroviral therapies (ARTs) is well documented while less is known about the role of historical viruses stored in the proviral DNA. The primary focus of this work was to characterize the genetic diversity and evolution of HIV drug resistant variants in an individual's provirus during antiretroviral therapy using next generation sequencing. METHODS Blood samples were collected prior to antiretroviral therapy exposure and during the course of treatment from five patients in whom drug resistance mutations had previously been identified using consensus sequencing. The spectrum of viral variants present in the provirus at each sampling time-point were characterized using 454 pyrosequencing from multiple combined PCR products. The prevalence of viral variants containing drug resistant mutations (DRMs) was characterized at each time-point. RESULTS Low abundance drug resistant viruses were identified in 14 of 15 sampling time-points from the five patients. In all individuals DRMs against current therapy were identified at one or more of the sampling time-points. In two of the five individuals studied these DRMs were present prior to treatment exposure and were present at high prevalence within the amplified and sequenced viral population. DRMs to drugs other than those being currently used were identified in four of the five individuals. CONCLUSION The presence of DRMs in the provirus, regardless of their observed prevalence did not appear to have an effect on clinical outcomes in the short term suggesting that the drug resistant viral variants present in the proviral DNA do not appear to play a role in the short term in facilitating the emergence of drug resistance.
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Affiliation(s)
- Vijay Bansode
- Molecular Evolution and Systematics laboratory, Zoology, Ryan Institute, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
| | - Grace P McCormack
- Molecular Evolution and Systematics laboratory, Zoology, Ryan Institute, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
| | - Amelia C Crampin
- Karonga Prevention Study, Chilumba, Malawi, South Africa
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Bagrey Ngwira
- Karonga Prevention Study, Chilumba, Malawi, South Africa
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Ram K Shrestha
- South African National Bioinformatics Institute, University of the Western, Cape, Bellville, South Africa
| | - Neil French
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- Institute of Infection & Global Health, University of Liverpool, Liverpool, UK
| | - Judith R Glynn
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Simon A Travers
- South African National Bioinformatics Institute, University of the Western, Cape, Bellville, South Africa
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Evaluation of a benchtop HIV ultradeep pyrosequencing drug resistance assay in the clinical laboratory. J Clin Microbiol 2013; 51:880-6. [PMID: 23284027 DOI: 10.1128/jcm.02652-12] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Detection of low-abundance drug resistance mutations (DRMs) of HIV-1 is an evolving approach in clinical practice. Ultradeep pyrosequencing has shown to be effective in detecting such mutations. The lack of a standardized commercially based assay limits the wide use of this method in clinical settings. 454 Life Sciences (Roche) is developing an HIV ultradeep pyrosequencing assay for their benchtop sequencer. We assessed the prototype plate in the clinical laboratory. Plasma samples genotyped by the standardized TruGene kit were retrospectively tested by this assay. Drug-treated subjects failing therapy and drug-naive patients were included. DRM analysis was based on the International AIDS Society USA DRM list and the Stanford algorithm. The prototype assay detected all of the DRMs detected by TruGene and additional 50 low-abundance DRMs. Several patients had low-abundance D67N, K70R, and M184V reverse transcriptase inhibitor mutations that persisted long after discontinuation of the drug that elicited these mutations. Additional patient harbored low-abundance V32I major protease inhibitor mutation, which under darunavir selection evolved later to be detected by TruGene. Stanford analysis suggested that some of the low-abundance DRMs were likely to affect the resistance burden in these subjects. The prototype assay performs at least as well as TruGene and has the advantage of detecting low-abundance drug resistance mutations undetected by TruGene. Its ease of use and lab-scale platform will likely facilitate its use in the clinical laboratory. The extent to which the detection of low-abundance DRMs will affect patient management is still unknown, but it is hoped that use of such an assay in clinical practice will help resolve this important question.
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Wright DW, Wan S, Shublaq N, Zasada SJ, Coveney PV. From base pair to bedside: molecular simulation and the translation of genomics to personalized medicine. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE 2012; 4:585-98. [PMID: 22899636 DOI: 10.1002/wsbm.1186] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Despite the promises made that genomic sequencing would transform therapy by introducing a new era of personalized medicine, relatively few tangible breakthroughs have been made. This has led to the recognition that complex interactions at multiple spatial, temporal, and organizational levels may often combine to produce disease. Understanding this complexity requires that existing and future models are used and interpreted within a framework that incorporates knowledge derived from investigations at multiple levels of biological function. It also requires a computational infrastructure capable of dealing with the vast quantities of data generated by genomic approaches. In this review, we discuss the use of molecular modeling to generate quantitative and qualitative insights at the smallest scales of the systems biology hierarchy, how it can play an important role in the development of a systems understanding of disease and in the application of such knowledge to help discover new therapies and target existing ones on a personal level.
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Affiliation(s)
- David W Wright
- Centre for Computational Science, University College London, London, UK
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Fun A, Wensing AMJ, Verheyen J, Nijhuis M. Human Immunodeficiency Virus Gag and protease: partners in resistance. Retrovirology 2012; 9:63. [PMID: 22867298 PMCID: PMC3422997 DOI: 10.1186/1742-4690-9-63] [Citation(s) in RCA: 101] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2012] [Accepted: 07/17/2012] [Indexed: 12/26/2022] Open
Abstract
Human Immunodeficiency Virus (HIV) maturation plays an essential role in the viral life cycle by enabling the generation of mature infectious virus particles through proteolytic processing of the viral Gag and GagPol precursor proteins. An impaired polyprotein processing results in the production of non-infectious virus particles. Consequently, particle maturation is an excellent drug target as exemplified by inhibitors specifically targeting the viral protease (protease inhibitors; PIs) and the experimental class of maturation inhibitors that target the precursor Gag and GagPol polyproteins. Considering the different target sites of the two drug classes, direct cross-resistance may seem unlikely. However, coevolution of protease and its substrate Gag during PI exposure has been observed both in vivo and in vitro. This review addresses in detail all mutations in Gag that are selected under PI pressure. We evaluate how polymorphisms and mutations in Gag affect PI therapy, an aspect of PI resistance that is currently not included in standard genotypic PI resistance testing. In addition, we consider the consequences of Gag mutations for the development and positioning of future maturation inhibitors.
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Affiliation(s)
- Axel Fun
- Department of Virology, Medical Microbiology, University Medical Center Utrecht, HP G04,614, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands
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Hauser A, Sewangi J, Mbezi P, Dugange F, Lau I, Ziske J, Theuring S, Kuecherer C, Harms G, Kunz A. Emergence of minor drug-resistant HIV-1 variants after triple antiretroviral prophylaxis for prevention of vertical HIV-1 transmission. PLoS One 2012; 7:e32055. [PMID: 22384138 PMCID: PMC3285650 DOI: 10.1371/journal.pone.0032055] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2011] [Accepted: 01/19/2012] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND WHO-guidelines for prevention of mother-to-child transmission of HIV-1 in resource-limited settings recommend complex maternal antiretroviral prophylaxis comprising antenatal zidovudine (AZT), nevirapine single-dose (NVP-SD) at labor onset and AZT/lamivudine (3TC) during labor and one week postpartum. Data on resistance development selected by this regimen is not available. We therefore analyzed the emergence of minor drug-resistant HIV-1 variants in Tanzanian women following complex prophylaxis. METHOD 1395 pregnant women were tested for HIV-1 at Kyela District Hospital, Tanzania. 87/202 HIV-positive women started complex prophylaxis. Blood samples were collected before start of prophylaxis, at birth and 1-2, 4-6 and 12-16 weeks postpartum. Allele-specific real-time PCR assays specific for HIV-1 subtypes A, C and D were developed and applied on samples of mothers and their vertically infected infants to quantify key resistance mutations of AZT (K70R/T215Y/T215F), NVP (K103N/Y181C) and 3TC (M184V) at detection limits of <1%. RESULTS 50/87 HIV-infected women having started complex prophylaxis were eligible for the study. All women took AZT with a median duration of 53 days (IQR 39-64); all women ingested NVP-SD, 86% took 3TC. HIV-1 resistance mutations were detected in 20/50 (40%) women, of which 70% displayed minority species. Variants with AZT-resistance mutations were found in 11/50 (22%), NVP-resistant variants in 9/50 (18%) and 3TC-resistant variants in 4/50 women (8%). Three women harbored resistant HIV-1 against more than one drug. 49/50 infants, including the seven vertically HIV-infected were breastfed, 3/7 infants exhibited drug-resistant virus. CONCLUSION Complex prophylaxis resulted in lower levels of NVP-selected resistance as compared to NVP-SD, but AZT-resistant HIV-1 emerged in a substantial proportion of women. Starting AZT in pregnancy week 14 instead of 28 as recommended by the current WHO-guidelines may further increase the frequency of AZT-resistance mutations. Given its impact on HIV-transmission rate and drug-resistance development, HAART for all HIV-positive pregnant women should be considered.
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Affiliation(s)
- Andrea Hauser
- Institute of Tropical Medicine and International Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.
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Abstract
Minor drug-resistant variants exist in every patient infected with human immunodeficiency virus (HIV). Because these minority variants are usually present at very low levels, they cannot be detected and quantified using conventional genotypic and phenotypic tests. Recently, several assays have been developed to characterize these low-abundance drug-resistant variants in the large, genetically complex population that is present in every HIV-infected individual. The most important issue is what results generated by these assays can predict clinical or treatment outcomes and might guide the management of patients in clinical practice. Cutoff values for the detection of these low-abundance viral variants that predict an increased risk of treatment failure should be determined. These thresholds may be specific for each mutation and treatment regimen. In this review, we summarize the attributes and limitations of the currently available detection assays and review the existing information about both acquired and transmitted drug-resistant minority variants.
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Affiliation(s)
- Sara Gianella
- Departments of Pathology and Medicine, University of California-San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0679, USA
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High frequency of integrase Q148R minority variants in HIV-infected patients naive of integrase inhibitors. AIDS 2010; 24:867-73. [PMID: 20160635 DOI: 10.1097/qad.0b013e3283367796] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND Integrase positions 148 and 155 represent main determinants of resistance to integrase inhibitors. We assessed the prevalence of minority variants harboring such mutations in integrase-naive HIV-infected patients. METHODS Two groups of patients were studied: 40 heavily antiretroviral-experienced patients, initiating a raltegravir-based therapy and 51 antiretroviral-naive patients. Allele-specific real-time PCR (AS-PCR) systems, developed for Q148H, Q148R and N155H mutations, were performed at baseline for antiretroviral-experienced patients. Samples from antiretroviral-naive patients were tested with the Q148R AS-PCR assay. RESULTS The limits of detection of AS-PCR systems were 0.10, 0.10 and 0.05% for Q148H, Q148R and N155H mutations, respectively. AS-PCR systems were successful in 79 of 91 samples. In antiretroviral-experienced patients, Q148R minority variants were frequently detected (26/32 patients, 81%) at low-level frequency (median = 0.40%), whereas no minority variants exhibiting Q148H or N155H mutation were found. Twenty-four of 26 patients exhibiting Q148R variants were virological responders but four of them displayed a delayed virological response occurring between W18 and W36. Two patients exhibited virological failure under raltegravir, both harboring Q148R minority variants at baseline. However, we did not find any association between the presence of Q148R minority variants and an increased risk of virological failure. Q148R minority variants were also found in 86% of antiretroviral-naive patients, a prevalence significantly higher than that of K103N minority variants (26%). CONCLUSION Q148R variants were frequently detected, always at low-level, in antiretroviral-experienced and naive patients. Although their presence was not consistently associated with virological failure, their impact on long-term viral suppression needs to be further investigated.
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Vignoles M, Barboni G, Agosti MR, Quarleri J, García MK, Ayala SG, Salomón H. Evaluation of minority populations of HIV type-1 with K103N and M184V drug resistance mutations among children in Argentina. Antivir Ther 2010; 14:1175-81. [PMID: 20032547 DOI: 10.3851/imp1461] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND The aim of this study was to describe the frequency of minority populations of viruses carrying mutations K103N and M184V in drug-naive HIV type-1 (HIV-1)-infected children, and to further evaluate their effect on the selection of drug-resistant viruses within highly active antiretroviral therapy (HAART). METHODS Newly diagnosed vertically HIV-1-infected children were evaluated. The HIV-1 pol gene was sequenced for subtyping and antiretroviral drug resistance analysis. Standard genotypic sequencing and sequence-selective real-time PCR (SPCR) to quantify minority viral populations were used. RESULTS From December 2004 to July 2006, we included 35 children who were studied at baseline and during their first HAART regimen (follow-up median time 29.4 months). Of them, 82.9% were infected with intersubtype B/F recombinant variants. At baseline, all children had a drug-susceptible viral population that was studied by bulk sequencing. SPCR showed that 4 children had between 2-10% of M184V, 11 had <0.7%, 18 had no detectable mutation and 2 could not be amplified. No K103N minority populations were found. Once under HAART, children who had 2-10% of M184V at baseline further selected it in percentages >20% in less time than those with -0.1-0.6% or without minority populations (P=0.01). CONCLUSIONS It was shown that having 2-10% of M184V at baseline enhanced its selection in high percentages in a short time after HAART initiation. Further research regarding the presence of minority quasispecies before initiation of HAART in large paediatric populations should be undertaken to evaluate their clinical effect during HAART.
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Affiliation(s)
- Moira Vignoles
- National Reference Center for AIDS, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina
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Magnetic-silica based nucleic acid extraction for Human Immunodeficiency Virus Type-1 drug-resistance testing in low viremic patients. J Clin Virol 2010; 47:8-12. [DOI: 10.1016/j.jcv.2009.10.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2009] [Revised: 09/29/2009] [Accepted: 10/12/2009] [Indexed: 11/18/2022]
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Shao W, Kearney M, Maldarelli F, Mellors JW, Stephens RM, Lifson JD, KewalRamani VN, Ambrose Z, Coffin JM, Palmer SE. RT-SHIV subpopulation dynamics in infected macaques during anti-HIV therapy. Retrovirology 2009; 6:101. [PMID: 19889213 PMCID: PMC2776578 DOI: 10.1186/1742-4690-6-101] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2009] [Accepted: 11/04/2009] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To study the dynamics of wild-type and drug-resistant HIV-1 RT variants, we developed a methodology that follows the fates of individual genomes over time within the viral quasispecies. Single genome sequences were obtained from 3 pigtail macaques infected with a recombinant simian immunodeficiency virus containing the RT coding region from HIV-1 (RT-SHIV) and treated with short-course efavirenz monotherapy 13 weeks post-infection followed by daily combination antiretroviral therapy (ART) beginning at week 17. Bioinformatics tools were constructed to trace individual genomes from the beginning of infection to the end of the treatment. RESULTS A well characterized challenge RT-SHIV inoculum was used to infect three monkeys. The RT-SHIV inoculum had 9 variant subpopulations and the dominant subpopulation accounted for 80% of the total genomes. In two of the three monkeys, the inoculated wild-type virus was rapidly replaced by new wild type variants. By week 13, the original dominant subpopulation in the inoculum was replaced by new dominant subpopulations, followed by emergence of variants carrying known NNRTI resistance mutations. However, during ART, virus subpopulations containing resistance mutations did not outgrow the wide-type subpopulations until a minor subpopulation carrying linked drug resistance mutations (K103N/M184I) emerged. We observed that persistent viremia during ART is primarily made up of wild type subpopulations. We also found that subpopulations carrying the V75L mutation, not known to be associated with NNRTI resistance, emerged initially in week 13 in two macaques. Eventually, all subpopulations from these two macaques carried the V75L mutation. CONCLUSION This study quantitatively describes virus evolution and population dynamics patterns in an animal model. The fact that wild type subpopulations remained as dominant subpopulations during ART treatment suggests that the presence or absence of at least some known drug resistant mutations may not greatly affect virus replication capacity in vivo. Additionally, the emergence and prevalence of V75L indicates that this mutation may provide the virus a selective advantage, perhaps escaping the host immure system surveillance. Our new method to quantitatively analyze viral population dynamics enabled us to observe the relative competitiveness and adaption of different viral variants and provided a valuable tool for studying HIV subpopulation emergence, persistence, and decline during ART.
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Affiliation(s)
- Wei Shao
- Advanced Biomedical Computing Center, SAIC Frederick, Inc, National Cancer Institute at Frederick, Frederick, MD, USA.
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Paredes R, Clotet B. Clinical management of HIV-1 resistance. Antiviral Res 2009; 85:245-65. [PMID: 19808056 DOI: 10.1016/j.antiviral.2009.09.015] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2009] [Revised: 09/28/2009] [Accepted: 09/30/2009] [Indexed: 11/18/2022]
Abstract
Antiretroviral drug resistance is a fundamental survival strategy for the virus that stems from its vast capacity to generate diversity. With the recent availability of new ARV drugs and classes, it is now possible to prescribe fully active ART to most HIV-infected subjects and achieve viral suppression even in those with multidrug-resistant HIV. It is uncertain, however, if this scenario will endure. Given that ART must be given for life, and new compounds other than second-generation integrase inhibitors may not reach the clinic soon, all efforts must be done to avoid the development of resistance to the new agents. Here, we discuss relevant aspects for the clinical management of antiretroviral drug resistance, leaving detailed explanations of mechanisms and mutation patterns to other articles in this issue. This article forms part of a special issue of Antiviral Research marking the 25th anniversary of antiretroviral drug discovery and development, vol. 85, issue 1, 2010.
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Affiliation(s)
- Roger Paredes
- Institut de Recerca de SIDA - irsiCaixa & Fundació Lluita contra SIDA, Servei de Medicina Interna, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Catalonia, Spain.
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Chan PA, Kantor R. Transmitted drug resistance in nonsubtype B HIV-1 infection. ACTA ACUST UNITED AC 2009; 3:447-465. [PMID: 20161523 DOI: 10.2217/hiv.09.30] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
HIV-1 nonsubtype B variants account for the majority of HIV infections worldwide. Drug resistance in individuals who have never undergone antiretroviral therapy can lead to early failure and limited treatment options and, therefore, is an important concern. Evaluation of reported transmitted drug resistance (TDR) is challenging owing to varying definitions and study designs, and is further complicated by HIV-1 subtype diversity. In this article, we discuss the importance of various mutation lists for TDR definition, summarize TDR in nonsubtype B HIV-1 and highlight TDR reporting and interpreting challenges in the context of HIV-1 diversity. When examined carefully, TDR in HIV-1 non-B protease and reverse transcriptase is still relatively low in most regions. Whether it will increase with time and therapy access, as observed in subtype-B-predominant regions, remains to be determined.
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Le T, Chiarella J, Simen BB, Hanczaruk B, Egholm M, Landry ML, Dieckhaus K, Rosen MI, Kozal MJ. Low-abundance HIV drug-resistant viral variants in treatment-experienced persons correlate with historical antiretroviral use. PLoS One 2009; 4:e6079. [PMID: 19562031 PMCID: PMC2698118 DOI: 10.1371/journal.pone.0006079] [Citation(s) in RCA: 108] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2009] [Accepted: 06/05/2009] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND It is largely unknown how frequently low-abundance HIV drug-resistant variants at levels under limit of detection of conventional genotyping (<20% of quasi-species) are present in antiretroviral-experienced persons experiencing virologic failure. Further, the clinical implications of low-abundance drug-resistant variants at time of virologic failure are unknown. METHODOLOGY/PRINCIPAL FINDINGS Plasma samples from 22 antiretroviral-experienced subjects collected at time of virologic failure (viral load 1380 to 304,000 copies/mL) were obtained from a specimen bank (from 2004-2007). The prevalence and profile of drug-resistant mutations were determined using Sanger sequencing and ultra-deep pyrosequencing. Genotypes were interpreted using Stanford HIV database algorithm. Antiretroviral treatment histories were obtained by chart review and correlated with drug-resistant mutations. Low-abundance drug-resistant mutations were detected in all 22 subjects by deep sequencing and only in 3 subjects by Sanger sequencing. In total they accounted for 90 of 247 mutations (36%) detected by deep sequencing; the majority of these (95%) were not detected by standard genotyping. A mean of 4 additional mutations per subject were detected by deep sequencing (p<0.0001, 95%CI: 2.85-5.53). The additional low-abundance drug-resistant mutations increased a subject's genotypic resistance to one or more antiretrovirals in 17 of 22 subjects (77%). When correlated with subjects' antiretroviral treatment histories, the additional low-abundance drug-resistant mutations correlated with the failing antiretroviral drugs in 21% subjects and correlated with historical antiretroviral use in 79% subjects (OR, 13.73; 95% CI, 2.5-74.3, p = 0.0016). CONCLUSIONS/SIGNIFICANCE Low-abundance HIV drug-resistant mutations in antiretroviral-experienced subjects at time of virologic failure can increase a subject's overall burden of resistance, yet commonly go unrecognized by conventional genotyping. The majority of unrecognized resistant mutations correlate with historical antiretroviral use. Ultra-deep sequencing can provide important historical resistance information for clinicians when planning subsequent antiretroviral regimens for highly treatment-experienced patients, particularly when their prior treatment histories and longitudinal genotypes are not available.
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Affiliation(s)
- Thuy Le
- Yale University School of Medicine, New Haven, CT, USA.
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16
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Development of a platelet-activating factor antagonist for HIV-1 associated neurocognitive disorders. J Neuroimmunol 2009; 213:47-59. [PMID: 19541372 DOI: 10.1016/j.jneuroim.2009.06.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2009] [Revised: 05/27/2009] [Accepted: 06/01/2009] [Indexed: 02/07/2023]
Abstract
The neuroregulatory activities of PMS-601, a platelet activating factor antagonist, were investigated in laboratory and animal models of HIV-1 encephalitis (HIVE). For the former, PMS-601 reduced monocyte-derived macrophage pro-inflammatory secretions, multinucleated giant cell (MGC) formation, and neuronal loss independent of antiretroviral responses. PMS-601 treatment of HIVE severe combined immunodeficient mice showed reduced microgliosis, MGCs and neurodegeneration. These observations support the further development of PMS-601 as an adjunctive therapy for HIV-1 associated neurocognitive disorders.
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Metzner KJ, Giulieri SG, Knoepfel SA, Rauch P, Burgisser P, Yerly S, Günthard HF, Cavassini M. Minority quasispecies of drug-resistant HIV-1 that lead to early therapy failure in treatment-naive and -adherent patients. Clin Infect Dis 2009; 48:239-47. [PMID: 19086910 DOI: 10.1086/595703] [Citation(s) in RCA: 159] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Early virological failure of antiretroviral therapy associated with the selection of drug-resistant human immunodeficiency virus type 1 in treatment-naive patients is very critical, because virological failure significantly increases the risk of subsequent failures. Therefore, we evaluated the possible role of minority quasispecies of drug-resistant human immunodeficiency virus type 1, which are undetectable at baseline by population sequencing, with regard to early virological failure. METHODS We studied 4 patients who experienced early virological failure of a first-line regimen of lamivudine, tenofovir, and either efavirenz or nevirapine and 18 control patients undergoing similar treatment without virological failure. The key mutations K65R, K103N, Y181C, M184V, and M184I in the reverse transcriptase were quantified by allele-specific real-time polymerase chain reaction performed on plasma samples before and during early virological treatment failure. RESULTS Before treatment, none of the viruses showed any evidence of drug resistance in the standard genotype analysis. Minority quasispecies with either the M184V mutation or the M184I mutation were detected in 3 of 18 control patients. In contrast, all 4 patients whose treatment was failing had harbored drug-resistant viruses at low frequencies before treatment, with a frequency range of 0.07%-2.0%. A range of 1-4 mutations was detected in viruses from each patient. Most of the minority quasispecies were rapidly selected and represented the major virus population within weeks after the patients started antiretroviral therapy. All 4 patients showed good adherence to treatment. Nonnucleoside reverse-transcriptase inhibitor plasma concentrations were in normal ranges for all 4 patients at 2 separate assessment times. CONCLUSIONS Minority quasispecies of drug-resistant viruses, detected at baseline, can rapidly outgrow and become the major virus population and subsequently lead to early therapy failure in treatment-naive patients who receive antiretroviral therapy regimens with a low genetic resistance barrier.
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Affiliation(s)
- Karin J Metzner
- Institute of Clinical and Molecular Virology, University of Erlangen-Nuremberg, Erlangen, Germany.
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18
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Bergroth T, Ekici H, Gisslén M, Loes SKD, Goh LE, Freedman A, Lampe F, Johnson MA, Sönnerborg A. Selection of drug-resistant HIV-1 during the early phase of viral decay is uncommon in treatment-naïve patients initiated on a three- or four-drug antiretroviral regimen including lamivudine. J Med Virol 2008; 81:1-8. [DOI: 10.1002/jmv.21363] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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19
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Deforche K, Cozzi-Lepri A, Theys K, Clotet B, Camacho RJ, Kjaer J, Van Laethem K, Phillips A, Moreau Y, Lundgren JD, Vandamme AM. Modelled in vivo HIV Fitness under drug Selective Pressure and Estimated Genetic Barrier Towards Resistance are Predictive for Virological Response. Antivir Ther 2008. [DOI: 10.1177/135965350801300316] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background A method has been developed to estimate a fitness landscape experienced by HIV-1 under treatment selective pressure as a function of the genotypic sequence thereby also estimating the genetic barrier to resistance. Methods We evaluated the performance of two estimated fitness landscapes (nelfinavir [NFV] and zidovudine [AZT] plus lamivudine [3TC]) to predict week 12 viral load (VL) change for 176 treatment change episodes (TCEs) and probability of week 48 virological failure for 90 TCEs, in treatment experienced patients starting these drugs in combination. Results A higher genetic barrier for AZT plus 3TC, (quantified per additional mutation required to develop resistance against these drugs) was associated with a 0.54 (95% confidence interval [CI] 0.30–0.77) larger log10 VL reduction at 12 weeks ( P<0.0001) and a 0.39 (95% CI 0.23–0.66) lower odds of virological failure at 48 weeks ( P=0.0005), in analyses adjusting for the pre-TCE VL and the exact time-lag between the TCE and the date of determining response VL. The strength of these associations was comparable with those seen with expert interpretation systems (Rega, ANRS and HIVDB). A higher genetic barrier to NFV resistance was the only genotypic predictor that tended to be associated with a 0.19 (95% CI 0–0.39) higher log10 VL reduction at 12 weeks ( P=0.05) and a 0.63 (95% CI 0.36–1.09) lower odds of virological failure at 48 weeks ( P=0.10) per additional mutation. Conclusions These results suggest that an estimated genetic barrier derived from fitness landscapes may contribute to an improvement of predicted treatment outcome for NFV and this approach should be explored for other drugs.
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Affiliation(s)
| | - Koen Deforche
- Rega Institute, Katholieke Universiteit Leuven, Leuven, Belgium
| | | | - Kristof Theys
- Rega Institute, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Bonaventura Clotet
- Irsicaixa Foundation, Hospital Universitari Germans Trias i Pujol, Badalona, Catalonia, Spain
| | | | - Jesper Kjaer
- Copenhagen HIV Programme, University of Copenhagen, Copenhagen, Denmark
| | | | - Andrew Phillips
- Royal Free and University College Medical School, University College London, London, UK
| | - Yves Moreau
- Rega Institute, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Jens D Lundgren
- Copenhagen HIV Programme, University of Copenhagen, Copenhagen, Denmark
- Centre for Viral Diseases (CVD)/KMA, Rigshospitalet, Copenhagen, Denmark
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Louvel S, Battegay M, Vernazza P, Bregenzer T, Klimkait T, Hamy F. Detection of drug-resistant HIV minorities in clinical specimens and therapy failure. HIV Med 2008; 9:133-41. [PMID: 18218003 DOI: 10.1111/j.1468-1293.2007.00529.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Particularly for therapy-experienced patients, resistance assessment by genotypic or phenotypic methods produces discordances. This study seeks proof that differences may arise from the fact that genotyping produces a single summary sequence whereas replicative phenotyping (rPhenotyping) functionally detects and assigns resistances in mixed HIV populations. METHODS For validation, defined mixes of wild-type and M184V mutant were analysed by rPhenotyping or standard genotyping. Allele-specific and quantitative polymerase chain reaction (PCR) set detection and quantification limits for minor virus populations in vitro and in authentic clinical samples showing geno-/pheno-discrepant lamivudine resistance. RESULTS Allele-specific and real-time PCR methods detected down to 0.3% of mutant M184V. The functional assessment was sensitive enough to reveal <1% of mutant M184V in mixed samples. Also in discordant samples from the diagnostic routine, in which rPhenotyping had identified drug resistance, real-time PCR confirmed minute amounts of mutant M184V. CONCLUSION By utilizing the replication dynamics of HIV under drug pressure, a rPhenotyping format potently reveals relevant therapy-resistant minority species, even of HIV known to possess reduced replicative fitness. With its rapid turnaround of 8 days and its high sensitivity, our rPhenotyping system may be a valuable diagnostic tool for detecting the early emergence of therapy-threatening HIV minorities or the persistence of residual resistant virus.
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Affiliation(s)
- S Louvel
- Institute for Medical Microbiology, University of Basel, Basel, Switzerland.
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21
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Poon AFY, Kosakovsky Pond SL, Richman DD, Frost SDW. Mapping protease inhibitor resistance to human immunodeficiency virus type 1 sequence polymorphisms within patients. J Virol 2007; 81:13598-607. [PMID: 17913806 PMCID: PMC2168824 DOI: 10.1128/jvi.01570-07] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Resistance genotyping provides an important resource for the clinical management of patients infected with human immunodeficiency virus type 1 (HIV-1). However, resistance to protease (PR) inhibitors (PIs) is a complex phenotype shaped by interactions among nearly half of the residues in HIV-1 PR. Previous studies of the genetic basis of PI resistance focused on fixed substitutions among populations of HIV-1, i.e., host-specific adaptations. Consequently, they are susceptible to a high false discovery rate due to founder effects. Here, we employ sequencing "mixtures" (i.e., ambiguous base calls) as a site-specific marker of genetic variation within patients that is independent of the phylogeny. We demonstrate that the transient response to selection by PIs is manifested as an excess of nonsynonymous mixtures. Using a sample of 5,651 PR sequences isolated from both PI-naive and -treated patients, we analyze the joint distribution of mixtures and eight PIs as a Bayesian network, which distinguishes residue-residue interactions from direct associations with PIs. We find that selection for resistance is associated with the emergence of nonsynonymous mixtures in two distinct groups of codon sites clustered along the substrate cleft and distal regions of PR, respectively. Within-patient evolution at several positions is independent of PIs, including those formerly postulated to be involved in resistance. These positions are under strong positive selection in the PI-naive patient population, implying that other factors can produce spurious associations with resistance, e.g., mutational escape from the immune response.
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Affiliation(s)
- Art F Y Poon
- Department of Pathology, University of California, San Diego, La Jolla, California, USA.
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22
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Gao F. More sensitive assays for better drug resistance prediction? Pharmacogenomics 2007; 8:533-6. [PMID: 17559341 DOI: 10.2217/14622416.8.6.533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Abstract
Treatment efficacy in those infected with HIV is eventually compromised by the development of resistance to antiretroviral drugs. To delay resistance in patients it is critical to better understand drug-resistance mechanisms and to accurately detect drug-resistant mutations prior to treatment. Minor-drug-resistant viruses are present in chronically infected patients, treatment-failure patients and those recently infected with resistant viruses through transmission. They are often present at levels below 20%, therefore conventional genotypic and phenotypic assays cannot detect them. Accumulating data indicate that minor-resistant viruses that are present before treatment can lead to drug resistance and poor treatment responses in patients. Detailed characterization of such minor-resistant populations using highly sensitive assays may have a profound impact on the treatment of HIV-infected individuals.
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Affiliation(s)
- Feng Gao
- Duke University Medical Center, Duke Human Vaccine Institute, 112 RPIII, Research Drive, Box 3347, Durham, NC 27710, USA
| | - Dongning Wang
- Duke University Medical Center, Duke Human Vaccine Institute, 104A RPI, Research Drive, Box 3347, Durham, NC 27710, USA
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Parisi SG, Boldrin C, Cruciani M, Nicolini G, Cerbaro I, Manfrin V, Dal Bello F, Franchin E, Franzetti M, Rossi MC, Cattelan AM, Romano L, Zazzi M, Andreoni M, Palù G. Both human immunodeficiency virus cellular DNA sequencing and plasma RNA sequencing are useful for detection of drug resistance mutations in blood samples from antiretroviral-drug-naive patients. J Clin Microbiol 2007; 45:1783-8. [PMID: 17442799 PMCID: PMC1933075 DOI: 10.1128/jcm.00056-07] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Genotypic antiretroviral testing is recommended for newly infected drug-naive subjects, and the material of choice is plasma RNA. Since drug resistance mutations (DRMs) may persist longer in cellular DNA than in plasma RNA, we investigated whether the use of peripheral blood mononuclear cell (PBMC) human immunodeficiency virus (HIV) DNA increases the sensitivity of genotypic testing in antiretroviral-drug-naive subjects. We compared the rate of primary drug resistance in plasma RNA and PBMC DNA in 288 HIV type 1-infected drug-naive persons tested at a single clinical virology center from June 2004 to October 2006. Resistance in the plasma compartment to at least one drug was detected for 64 out of 288 (22.2%) naive patients and in the PBMC compartment for 56 (19.4%) patients. Overall, DRMs were found in 80 out of 288 (27.8%) patients. PBMC DNA [corrected] DRMs were present in [corrected] 16 subjects with wild-type virus in their plasma RNA [corrected] Another nine patients had additional DRMs in their PBMC DNA [corrected] with respect to those detected in their [corrected] plasma RNA. On the other hand, extra plasma RNA [corrected] DRMs were detected in [corrected] 24 and 8 subjects with wild-type and drug-resistant virus in their PBMC DNA [corrected] respectively. Resistance to more than one class of antiretroviral drug was detected by plasma and PBMC analysis for 25.0% and 36.2% of the subjects, respectively. Our data support the potential utility of genotypic resistance testing of PBMC DNA in conjunction with the currently recommended plasma RNA analysis.
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Affiliation(s)
- Saverio G Parisi
- Department of Histology, Microbiology and Medical Biotechnology, Padova University, via Gabelli 63, 35100 Padova, Italy.
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25
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Metzner KJ, Allers K, Rauch P, Harrer T. Rapid selection of drug-resistant HIV-1 during the first months of suppressive ART in treatment-naive patients. AIDS 2007; 21:703-11. [PMID: 17413691 DOI: 10.1097/qad.0b013e3280121ac6] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Efficient antiretroviral therapy (ART) of HIV-1 infection reduces the viral load to undetectable levels and restores the immune system. However, therapy failure appears in a substantial fraction of patients and is mostly associated with the appearance of drug-resistant viruses. It is still not clear when the drug pressure leads to the earliest selection and appearance of drug-resistant HIV-1 populations. In this study, we wanted to determine whether drug-resistant viruses are already selected during viral decline within the first months of ART. DESIGN AND METHODS Fifteen mostly chronically HIV-1 infected patients were included. None had received ART prior to this study. The selection of three key resistance mutations, L90M (protease), K103N and M184V (reverse transcriptase), were measured by allele-specific real-time PCR allowing us to track minority quasispecies with a discriminative power of 0.01-0.2%. RESULTS Drug-resistant HIV-1 variants were found in 7/15 patients (46.7%) prior to ART. Rapid selection of drug resistance was detected in six patients (40%) independent of the presence of drug-resistant HIV-1 prior to ART. The risk for the selection of drug resistant viruses was correlated with the time until viral load became undetectable (P = 0.02). Besides the proportional increment of drug-resistant viruses, we observed in two patients a quantitative increase of this virus population while the total viral load decreased. CONCLUSIONS Drug-resistant viruses can be selected and replicate even in the first weeks of suppressive ART, thus, intensification of ART during the initial treatment period should be considered and further evaluated in clinical studies.
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Affiliation(s)
- Karin J Metzner
- University of Erlangen-Nuremberg, Institute of Clinical and Molecular Virology, Erlangen, Germany.
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