2,179 research outputs found

    Prediction of Co-Receptor Usage of HIV-1 from Genotype

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    Human Immunodeficiency Virus 1 uses for entry into host cells a receptor (CD4) and one of two co-receptors (CCR5 or CXCR4). Recently, a new class of antiretroviral drugs has entered clinical practice that specifically bind to the co-receptor CCR5, and thus inhibit virus entry. Accurate prediction of the co-receptor used by the virus in the patient is important as it allows for personalized selection of effective drugs and prognosis of disease progression. We have investigated whether it is possible to predict co-receptor usage accurately by analyzing the amino acid sequence of the main determinant of co-receptor usage, i.e., the third variable loop V3 of the gp120 protein. We developed a two-level machine learning approach that in the first level considers two different properties important for protein-protein binding derived from structural models of V3 and V3 sequences. The second level combines the two predictions of the first level. The two-level method predicts usage of CXCR4 co-receptor for new V3 sequences within seconds, with an area under the ROC curve of 0.937±0.004. Moreover, it is relatively robust against insertions and deletions, which frequently occur in V3. The approach could help clinicians to find optimal personalized treatments, and it offers new insights into the molecular basis of co-receptor usage. For instance, it quantifies the importance for co-receptor usage of a pocket that probably is responsible for binding sulfated tyrosine

    Probing entry inhibitors' activity on HIV and development of new fusion inhibitors : integrating evolutionary biology with virology

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    Tese de doutoramento, Farmácia (Microbiologia), Universidade de Lisboa, Faculdade de Farmácia, 2011The general aims of this thesis were: 1) to examine the C2, V3 and C3 envelope regions ofHIV-1 and HIV-2 at the molecular, evolutionary and structural levels; 2) to compare HIV-1and HIV-2 susceptibility to entry inhibitors and assess their potential value in HIV-2therapy; 3) to produce a new fusion inhibitor peptide using evolutionary biology basedstrategies.In the first study (Chapter 2), HIV-1 and HIV-2 were compared at the molecular,evolutionary and structural levels in the C2, V3 and C3 envelope regions. We identifiedsignificant structural and functional constrains to the diversification and evolution of C2,V3 and C3 in the HIV-2 envelope but not in HIV-1. In particular, we found that V3 in HIV-2is less exposed and more conserved than in HIV-1, suggesting fundamental differences inthe biology and infection of these viruses as well as in their susceptibility to entryinhibitors.In the second study (Chapter 3) we measured the baseline susceptibility of HIV-1 and HIV-2primary isolates to different fusion inhibitors and coreceptor antagonists, includingenfuvirtide (T-20) and maraviroc (MVC). MVC inhibited HIV-2 R5 variants at significantlyhigher IC90 concentrations than HIV-1 variants. Moreover, as previously found in HIV-1,susceptibility of HIV-2 R5 variants to MVC was inversely related with CD4+ T cell counts attime of virus isolation. These results suggest that the structure of the envelope complex ofR5 variants changes along the course of infection. More importantly, the results call fornew clinical studies to evaluate the efficacy of MVC in HIV-2 infection and to determine itsbest therapeutic dosage in early and late stage disease. We also provide definitiveevidence demonstrating that T-20 is not useful for HIV-2 therapy.In the final study (Chapter 4), we designed a new HIV fusion inhibitor peptide (P3) basedon the ancestral sequences of the HIV-2 and SIV envelope genes. P3 has an a-helixstructure as demonstrated by circular dichroism. It has broad antiviral activity at thenanomolar range against HIV-1 and HIV-2 primary isolates, including HIV-1 variantsresistant to T-20. Binding ELISA assays and selection of resistant mutants suggest that P3prevents viral fusion by binding to the transmembrane protein in the HR1 region. Thesestudies provide proof of concept that viable antiviral peptides can be constructed usingevolutionary biology strategies. Such strategies should be explored to enhance theproduction of peptide drugs and vaccines.O Vírus da Imunodeficiência Humana do tipo 1 e do tipo 2 (VIH-1 e VIH-2) são os agentes etiológicos do Síndrome de Imunodeficiência Adquirida (SIDA). Embora sejam semelhantes na sua organização estrutural e genómica, estes lentivírus humanos apresentam características antigénicas distintas e partilham uma semelhança genética de apenas 50%. Enquanto o VIH-1 é responsável pela pandemia mundial, a infecção pelo VIH-2 localiza-se sobretudo na África Ocidental, em alguns países europeus como Portugal e França, e na Índia. A infecção pelo VIH-2 tem melhor prognóstico, a progressão para a doença é mais lenta e há melhor controlo imunológico do que na infecção pelo VIH-1. Ao contrário do VIH-1, o arsenal terapêutico actualmente disponível para tratar a infecção por VIH-2 é reduzido. Os fármacos antiretrovirais em uso foram especificamente desenvolvidos para o VIH-1 e, consequentemente, a sua actividade pode ser reduzida ou nula no VIH-2. Este é o caso concreto dos inibidores não nucleosídicos da transcriptase reversa e de alguns inibidores da protease. Neste contexto, os inibidores de entrada poderão ser úteis para tratar a infecção por VIH-2. Contudo, a susceptibilidade dos isolados primários de VIH-2 aos inibidores de entrada é actualmente desconhecida. A susceptibilidade do VIH aos inibidores de entrada é determinada pela qualidade da interacção do vírus com os receptores celulares. O VIH-1 e VIH-2 são substancialmente diferentes a este nível. Por exemplo, o VIH-2 pode ligar-se ao co-receptor CCR5 independentemente do receptor CD4 e da região V3 do invólucro. Por outro lado, as regiões C2, V3 e C3 do VIH-2 são substancialmente diferentes do VIH-1 a nível antigénico. Colectivamente, estes dados indicam que a estrutura e conformação das glicoproteínas de superfície do VIH-1 e VIH-2 são substancialmente diferentes e sugerem que a susceptibilidade e resistência dos dois tipos de vírus aos inibidores de entrada podem também ser diferentes. Os principais objectivos desta tese foram: 1) analisar as características moleculares, estruturais e evolutivas das regiões C2, V3 e C3 no VIH-1 e VIH-2; 2) comparar a susceptibilidade do VIH-1 e VIH-2 aos inibidores de entrada e avaliar o seu potencial terapêutico na infecção por VIH-2; 3) produzir um novo inibidor de fusão para o VIH-2. Para melhor compreender as potenciais diferenças destes dois vírus na resposta aos inibidores de entrada começámos por analisar as características moleculares, estruturais e evolutivas da região V3 e as regiões circundantes C2 e C3, num número significativo de vírus VIH-1 e VIH-2 isolados em Portugal e noutras regiões do globo, com recurso a diferentes metodologias de biologia evolutiva e computacional (Capitulo 2). Apesar da menor variabilidade das 3 regiões no VIH-2, verificámos que a região C3 está sob forte selecção positiva e encontra-se exposta à superfície sugerindo que, tal como no VIH-1, esta região poderá constituir um domínio neutralizante. No entanto, ao contrário do VIH-1, a maioria das mutações adaptativas no VIH-2 são prejudiciais e levam à extinção das linhagens virais pelo que o efeito final é um forte constrangimento à variabilidade das regiões analisadas. Ao contrário do VIH-1, verificámos que a ansa V3 do VIH-2 se encontra oclusa no complexo glicoproteico do invólucro, numa conformação que parece ser estabilizada por interacções que mantém com alguns resíduos da regiões C2 e C3. Estes resultados são consistentes com o facto de a V3 não ser imunodominante no VIH-2, ficando assim mais protegida da resposta imunitária e das eventuais mutações que dela resultam. A forte conservação da V3, da C2 e da C3 também é consistente com a sua potencialmente importante actividade imunosupressora. Em conclusão, este primeiro estudo permitiu caracterizar algumas das características estruturais e funcionais que distinguem as glicoproteínas do invólucro do VIH-1 e do VIH-2 e que estão associadas às diferentes características biológicas e fenotípicas destes dois vírus. Estes dados podem ter impacto na resposta dos dois vírus aos inibidores de entrada (analisado no Capítulo 3) e no desenvolvimento de novas vacinas. No segundo estudo (Capítulo 3) comparámos a actividade antiviral dos antagonistas dos coreceptores (AMD3100, TAK-779 e maraviroc) e dos inibidores de fusão (T-20 e T-1249) entre um grupo de 20 isolados de VIH-2 (19 isolados primários + um isolado laboratorial) e nove isolados de VIH-1 (sete isolados primários + dois isolados laboratoriais). Verificámos que a sensibilidade ao AMD3100 e ao TAK-779 é semelhante no VIH-1 e o VIH-2. No entanto, o perfil da curva dose-resposta do maraviroc (MVC) obtido para os isolados R5 foi diferente nos dois tipos de vírus. No VIH-2 os valores de IC90 foram significativamente mais elevados do que no VIH-1; por outro lado, os declives da curva dose-resposta foram mais baixos no VIH-2 do que no VIH-1. Colectivamente, estes resultados sugerem que poderão ser necessárias concentrações mais elevadas de MVC para tratar os doentes infectados pelo VIH-2. Adicionalmente, encontrámos uma correlação forte e de sentido inverso entre as susceptibilidade do VIH-2 ao MVC e o número de células T CD4+ dos doentes quando os vírus foram isolados. Vírus isolados em doentes em fase de SIDA foram menos susceptíveis ao MVC do que os vírus isolados em doentes com uma contagem de células T CD4+ superior a 200 células/ul. Ao contrário do VIH-1 não encontrámos qualquer correlação entre a carga da V3 e a susceptibilidade dos isolados R5 de VIH-2 ao MVC. De um modo geral, os nossos resultados sugerem que são necessários ensaios clínicos para avaliar a efectividade do MVC na infecção pelo VIH-2, determinar a dose terapêutica mais adequada e esclarecer se é necessário fazer um ajuste de dose de acordo com a fase da doença. Adicionalmente, e uma vez que isolados VIH-2 X4 e populações duplas/mistas são totalmente ou parcialmente resistentes ao MVC, é de extrema importância o desenvolvimento de um ensaio de tropismo (genotípico e/ou fenotípico) para o VIH-2 de modo a determinar o tropismo antes do início da terapia com MVC. Sem o conhecimento prévio do tropismo viral, o tratamento com MVC poderá seleccionar espécies X4 minoritárias que estão associadas a maior resistência à neutralização e uma progressão mais rápida da doença. No que diz respeito aos inibidores de fusão, verificámos que o T-20 tem actividade reduzida no VIH-2, confirmando estudos anteriores realizados com dois isolados laboratoriais. Por outro lado, observámos uma elevada susceptibilidade deste vírus ao T- 1249, indicando que os inibidores de fusão são potencialmente eficazes na infecção pelo VIH-2. Assim, o desenvolvimento de um novo inibidor de fusão do VIH-2 foi o objectivo do último estudo desta tese (Capítulo 4). No Capítulo 4, desenvolvemos novos péptidos inibidores de fusão a partir da reconstrução de sequências ancestrais da glicoproteína gp36 do invólucro de VIH-2 e de Vírus de Imunodeficiência dos Símios (VIS). Com esta abordagem inovadora pretendemos incorporar a história evolutiva dos vírus na sequência dos péptidos e desta forma melhorar a tolerância destas moléculas aos polimorfismos naturais da sua região alvo bem como às mutações de resistência seleccionadas na sua presença. Obteve-se um péptido ancestral (P3) constituído por 34 aminoácidos, cuja sequência corresponde às posições homólogas 628 – 661 da proteína Env do isolado VIH-1 HXB2 (ou 623 – 656 do isolado VIH-2 ROD). A sequência do P3 difere em 21 aminoácidos da sequência consenso de VIH-1, 14 aminoácidos da sequência do T-20 e 6 aminoácidos da sequência consenso de VIH-2. Ao contrário da natureza não-estruturada do T-20, o P3 tem uma conformação típica em hélice-a, o que lhe poderá conferir maior a estabilidade contra a degradação proteolítica, bem como maior afinidade para a região alvo. Por outro lado, o P3 foi facilmente solúvel em soluções aquosas o que é uma vantagem num futuro desenvolvimento de uma fórmula farmacêutica. O P3 demonstrou ter uma forte actividade antiviral contra isolados primários e laboratoriais de VIH-1 e VIH-2 (IC50 médio, 11 nM para o HIV-1 e 63.8 nM para o HIV-2), incluindo variantes resistentes ao T-20 (IC50, 0.15 – 11.8 nM). Através da passagem consecutiva de vírus em cultura na presença do péptido, foi seleccionada uma mutação de resistência na região HR1 da gp41 (VIH-1), a qual é responsável pela redução da susceptibilidade do VIH-1 ao P3 em 120x. Nas mesmas condições, e após 60 dias em cultura, não foi possível seleccionar mutações de resistência ao P3 no VIH-2. Estes resultado, em conjugação com a sua forte ligação à glicoproteína transmembranar de um isolado de VIH-2, indicam que, tal como outros péptidos baseados na região HR2 (T-20, T- 1249), o P3 inibe a entrada do VIH pela interacção com a região HR1 da gp41 e sugerem que a barreira genética para a resistência ao P3 é significativamente superior no VIH-2 do que no VIH-1. Neste estudo demonstrámos ainda que o P3 é significativamente menos antigénico do que o T-20 nos doentes infectados pelo VIH-1 o que poderá traduzir-se numa maior duração da eficácia clínica do P3 em comparação com o T-20. Os resultados obtidos com o P3 demonstram pela primeira vez que é possível desenvolver péptidos com actividade antiviral significativa utilizando metodologias de biologia evolutiva, pelo que esta abordagem poderá ser explorada no futuro para a produção de medicamentos peptídicos e, eventualmente, de vacinas

    Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage

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    <p>Abstract</p> <p>Background</p> <p>HIV-1 targets human cells expressing both the CD4 receptor, which binds the viral envelope glycoprotein gp120, as well as either the CCR5 (R5) or CXCR4 (X4) co-receptors, which interact primarily with the third hypervariable loop (V3 loop) of gp120. Determination of HIV-1 affinity for either the R5 or X4 co-receptor on host cells facilitates the inclusion of co-receptor antagonists as a part of patient treatment strategies. A dataset of 1193 distinct gp120 V3 loop peptide sequences (989 R5-utilizing, 204 X4-capable) is utilized to train predictive classifiers based on implementations of random forest, support vector machine, boosted decision tree, and neural network machine learning algorithms. An <it>in silico </it>mutagenesis procedure employing multibody statistical potentials, computational geometry, and threading of variant V3 sequences onto an experimental structure, is used to generate a feature vector representation for each variant whose components measure environmental perturbations at corresponding structural positions.</p> <p>Results</p> <p>Classifier performance is evaluated based on stratified 10-fold cross-validation, stratified dataset splits (2/3 training, 1/3 validation), and leave-one-out cross-validation. Best reported values of sensitivity (85%), specificity (100%), and precision (98%) for predicting X4-capable HIV-1 virus, overall accuracy (97%), Matthew's correlation coefficient (89%), balanced error rate (0.08), and ROC area (0.97) all reach critical thresholds, suggesting that the models outperform six other state-of-the-art methods and come closer to competing with phenotype assays.</p> <p>Conclusions</p> <p>The trained classifiers provide instantaneous and reliable predictions regarding HIV-1 co-receptor usage, requiring only translated V3 loop genotypes as input. Furthermore, the novelty of these computational mutagenesis based predictor attributes distinguishes the models as orthogonal and complementary to previous methods that utilize sequence, structure, and/or evolutionary information. The classifiers are available online at <url>http://proteins.gmu.edu/automute</url>.</p

    Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism

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    Deep sequencing is able to generate a complete picture of the retroviral quasi-species in a patient. We demonstrate that the unprecedented power of deep sequencing in conjunction with computational data analysis has great potential for clinical diagnostics and basic research. Specifically, we analyzed longitudinal deep sequencing data from patients in a study with Vicriviroc, a drug that blocks the HIV-1 co-receptor CCR5. Sequences covered the V3-loop of gp120, known to be the main determinant of co-receptor tropism. First, we evaluated this data with a computational model for the interpretation of V3-sequences with respect to tropism, and we found complete agreement with results from phenotypic assays. Thus, the method could be applied in cases where phenotypic assays fail. Second, computational analysis led to the discovery of a characteristic pattern in the quasi-species that foreshadows switches of co-receptor tropism. This analysis could help to unravel the mechanism of tropism switches, and to predict these switches weeks to months before they can be detected by a phenotypic assay

    Selected amino acid changes in HIV-1 subtype-C gp41 are associated with specific gp120(V3) signatures in the regulation of co-receptor usage

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    The majority of studies have characterized the tropism of HIV-1 subtype-B isolates, but little is known about the determinants of tropism in other subtypes. So, the goal of the present study was to genetically characterize the envelope of viral proteins in terms of co-receptor usage by analyzing 356 full-length env sequences derived from HIV-1 subtype-C infected individuals. The co-receptor usage of V3 sequences was inferred by using the Geno2Pheno and PSSM algorithms, and also analyzed to the "11/25 rule". All reported env sequences were also analyzed with regard to N-linked glycosylation sites, net charge and hydrophilicity, as well as the binomial correlation phi coefficient to assess covariation among gp120(V3) and gp41 signatures and the average linkage hierarchical agglomerative clustering were also performed. Among env sequences present in Los Alamos Database, 255 and 101 sequences predicted as CCR5 and CXCR4 were selected, respectively. The classical V3 signatures at positions 11 and 25, and other specific V3 and gp41 amino acid changes were found statistically associated with different co-receptor usage. Furthermore, several statistically significant associations between V3 and gp41 signatures were also observed. The dendrogram topology showed a cluster associated with CCR5-usage composed by five gp41 mutated positions, A22V, R133M, E136G, N140L, and N166Q that clustered with T2V(V3) and G24T(V3) (bootstrap=1). Conversely, a heterogeneous cluster with CXCR4-usage, involving S11GR(V3), 13-14insIG/LG(V3), P16RQ(V3), Q18KR(V3), F20ILV(V3), D25KRQ(V3), Q32KR(V3) along with A30T(gp41), S107N(gp41), D148E(gp41), A189S(gp41) was identified (bootstrap=0.86). Our results show that as observed for HIV-1 subtype-B, also in subtype-C specific and different gp41 and gp120V3 amino acid changes are associated individually or together with CXCR4 and/or CCR5 usage. These findings strengthen previous observations that determinants of tropism may also reside in the gp41 protein

    Recent transmission clustering of HIV-1 C and CRF17_BF strains characterized by NNRTI-related mutations among newly diagnosed men in central Italy

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    Increased evidence of relevant HIV-1 epidemic transmission in European countries is being reported, with an increased circulation of non-B-subtypes. Here, we present two recent HIV-1 non-B transmission clusters characterized by NNRTI-related amino-acidic mutations among newly diagnosed HIV-1 infected men, living in Rome (Central-Italy)

    Coreceptor Usage in HIV Infection

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    Molecular characteristics of HIV-1 subtype C and its impact on therapeutic outcome in Ethiopia

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    HIV-1 is characterized by a high genetic diversity which poses several challenges and implications with regard to disease progression, drug resistance and outcome of antiretroviral therapy (ART). HIV-1 subtype C (HIV-1C) is the most rapidly expanding subtype accounting for half of the global disease and nearly all infections in Ethiopia, Southern Africa and India which are the regions with the highest burden of HIV-1 infection. Molecular characteristics of the virus in such epidemic success need to be explored to better understand this subtype. In the thesis, we analysed plasma samples and patient data collected during 2009-2011 in a large country-wide cohort, Advanced Clinical Monitoring of ART (ACM) which was established to evaluate the longitudinal effectiveness of ART as practiced in real life in Ethiopia. The overall aim was to investigate the molecular characteristics of HIV-1C and its impact on first line ART outcome in Ethiopia. Both genotypic and phenotypic molecular techniques were employed to characterize different regions of the viral genome. In papers I and II, population sequencing (PBSS) of the V3 loop of the HIV-1 envelope from therapy naïve, patients failing therapy, as well as HIV-1C sequences from Ethiopia dated 1984-2003 was used to assess the molecular epidemiology of HIV-1C in different geographic regions and the trend of viral tropism over the last decades. We also investigated the utility of different genotypic tropism prediction tools and the impact of the predicted viral co-receptor tropism on the outcome of standard first line ART. Our results showed that the Ethiopian epidemic is still monophylogenetic, exclusively dominated by HIV-1C, CCR5 tropic viruses. Furthermore, baseline tropism had an impact on outcome of standard first line ART. While each tool predicted tropism with comparable frequency, there was yet a large discordance between the tools. We elucidated this discordance further in paper III by employing an in-house phenotypic tropism method compared with the prediction by bioinformatics tools used in paper II as well as in vitro sensitivity of HIV-1CEth strains for the co-receptor antagonist maraviroc. The results showed underestimation of R5 co-receptor usage by bioinformatics tools and effectiveness of maraviroc in HIV-1C. Expanding the exploration further to pol gene, we employed PBSS and next generation sequencing (NGS) to assess the prevalence of surveillance drug resistance mutations (sDRM) to reverse transcriptase- and protease-inhibitors as well as occurrence of DRM by NGS to the novel category of integrase strand inhibitors. The results in paper IV showed that NGS detected sDRM associated with RT- and PI- inhibitors more often than PBSS and major INSTI DRMs were found in minor viral variants. Furthermore, DRM identified before treatment was associated with a poorer treatment outcome. In conclusion, viral tropism and drug resistance mutations at baseline have an impact on subsequent treatment outcome. Currently available genotypic tropism prediction tools need further improvement for use in HIV-1C. The Ethiopian epidemic remains uniquely dominated by R5 tropic HIV-1C since its introduction. Further investigations should be done to delineate associated molecular and epidemiological factors contributing to its uniqueness

    Restriction of HIV-1 Genotypes in Breast Milk Does Not Account for the Population Transmission Genetic Bottleneck That Occurs following Transmission

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    BACKGROUND. Breast milk transmission of HIV-1 remains a major route of pediatric infection. Defining the characteristics of viral variants to which breastfeeding infants are exposed is important for understanding the genetic bottleneck that occurs in the majority of mother-to-child transmissions. The blood-milk epithelial barrier markedly restricts the quantity of HIV-1 in breast milk, even in the absence of antiretroviral drugs. The basis of this restriction and the genetic relationship between breast milk and blood variants are not well established. METHODOLOGY/PRINCIPAL FINDINGS. We compared 356 HIV-1 subtype C gp160 envelope (env) gene sequences from the plasma and breast milk of 13 breastfeeding women. A trend towards lower viral population diversity and divergence in breast milk was observed, potentially indicative of clonal expansion within the breast. No differences in potential N-linked glycosylation site numbers or in gp160 variable loop amino acid lengths were identified. Genetic compartmentalization was evident in only one out of six subjects in whom contemporaneously obtained samples were studied. However, in samples that were collected 10 or more days apart, six of seven subjects were classified as having compartmentalized viral populations, highlighting the necessity of contemporaneous sampling for genetic compartmentalization studies. We found evidence of CXCR4 co-receptor using viruses in breast milk and blood in nine out of the thirteen subjects, but no evidence of preferential localization of these variants in either tissue. CONCLUSIONS/SIGNIFICANCE. Despite marked restriction of HIV-1 quantities in milk, our data indicate intermixing of virus between blood and breast milk. Thus, we found no evidence that a restriction in viral genotype diversity in breast milk accounts for the genetic bottleneck observed following transmission. In addition, our results highlight the rapidity of HIV-1 env evolution and the importance of sample timing in analyses of gene flow.National Institute of Child Health and Human Development; National Institutes of Health (R01 HD 39611, R01 HD 40777); International Maternal Pediatric Adolescent AIDS Clinical Trials Group (U01 AI068632-01); National Institutes of Health Cellular, Biochemical; Molecular Sciences Training Program Grant (T 32 067587
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