Evolutionary interactions between N-linked glycosylation sites in the HIV-1 envelope

The addition of asparagine (N)-linked polysaccharide chains (i.e., glycans) to the gp120 and gp41 glycoproteins of human immunodeficiency virus type 1 (HIV-1) envelope is not only required for correct protein folding, but also may provide protection against neutralizing antibodies as a “glycan shield.” As a result, strong host-specific selection is frequently associated with codon positions where nonsynonymous substitutions can create or disrupt potential N-linked glycosylation sites (PNGSs). Moreover, empirical data suggest that the individual contribution of PNGSs to the neutralization sensitivity or infectivity of HIV-1 may be critically dependent on the presence or absence of other PNGSs in the envelope sequence. Here we evaluate how glycan–glycan interactions have shaped the evolution of HIV-1 envelope sequences by analyzing the distribution of PNGSs in a large-sequence alignment. Using a “covarion”-type phylogenetic model, we find that the rates at which individual PNGSs are gained or lost vary significantly over time, suggesting that the selective advantage of having a PNGS may depend on the presence or absence of other PNGSs in the sequence. Consequently, we identify specific interactions between PNGSs in the alignment using a new paired-character phylogenetic model of evolution, and a Bayesian graphical model. Despite the fundamental differences between these two methods, several interactions are jointly identified by both. Mapping these interactions onto a structural model of HIV-1 gp120 reveals that negative (exclusive) interactions occur significantly more often between colocalized glycans, while positive (inclusive) interactions are restricted to more distant glycans. Our results imply that the adaptive repertoire of alternative configurations in the HIV-1 glycan shield is limited by functional interactions between the N-linked glycans. This represents a potential vulnerability of rapidly evolving HIV-1 populations that may provide useful glycan-based targets for neutralizing antibodies.     

Adaptation to human populations is revealed by within-host polymorphisms in HIV-1 and hepatitis C virus

CD8(+) cytotoxic T-lymphocytes (CTLs) perform a critical role in the immune control of viral infections, including those caused by human immunodeficiency virus type 1 (HIV-1) and hepatitis C virus (HCV). As a result, genetic variation at CTL epitopes is strongly influenced by host-specific selection for either escape from the immune response, or reversion due to the replicative costs of escape mutations in the absence of CTL recognition. Under strong CTL-mediated selection, codon positions within epitopes may immediately "toggle" in response to each host, such that genetic variation in the circulating virus population is shaped by rapid adaptation to immune variation in the host population. However, this hypothesis neglects the substantial genetic variation that accumulates in virus populations within hosts. Here, we evaluate this quantity for a large number of HIV-1- (n > or = 3,000) and HCV-infected patients (n > or = 2,600) by screening bulk RT-PCR sequences for sequencing "mixtures" (i.e., ambiguous nucleotides), which act as site-specific markers of genetic variation within each host. We find that nonsynonymous mixtures are abundant and significantly associated with codon positions under host-specific CTL selection, which should deplete within-host variation by driving the fixation of the favored variant. Using a simple model, we demonstrate that this apparently contradictory outcome can be explained by the transmission of unfavorable variants to new hosts before they are removed by selection, which occurs more frequently when selection and transmission occur on similar time scales. Consequently, the circulating virus population is shaped by the transmission rate and the disparity in selection intensities for escape or reversion as much as it is shaped by the immune diversity of the host population, with potentially serious implications for vaccine design.     

Dynamics of Preferential Substrate Recognition in HIV-1 Protease: Redefining the Substrate Envelope

Human immunodeficiency virus type 1 (HIV-1) protease (PR) permits viral maturation by processing the gag and gag-pro-pol polyproteins. HIV-1 PR inhibitors (PIs) are used in combination antiviral therapy but the emergence of drug resistance has limited their efficacy. The rapid evolution of HIV-1 necessitates consideration of drug resistance in novel drug design. Drug-resistant HIV-1 PR variants no longer inhibited efficiently, continue to hydrolyze the natural viral substrates. Though highly diverse in sequence, the HIV-1 PR substrates bind in a conserved three-dimensional shape we termed the substrate envelope. Earlier, we showed that resistance mutations arise where PIs protrude beyond the substrate envelope, because these regions are crucial for drug binding but not for substrate recognition. We extend this model by considering the role of protein dynamics in the interaction of HIV-1 PR with its substrates. We simulated the molecular dynamics of seven PR-substrate complexes to estimate the conformational flexibility of the bound substrates. Interdependence of substrate-protease interactions might compensate for variations in cleavage-site sequences and explain how a diverse set of sequences are recognized as substrates by the same enzyme. This diversity might be essential for regulating sequential processing of substrates. We define a dynamic substrate envelope as a more accurate representation of PR-substrate interactions. This dynamic substrate envelope, described by a probability distribution function, is a powerful tool for drug design efforts targeting ensembles of resistant HIV-1 PR variants with the aim of developing drugs that are less susceptible to resistance.     

An in silico pharmacological approach toward the discovery of potent inhibitors to combat drug resistance HIV-1 protease variants

Protease inhibitors (PIs) are crucial drugs in highly active antiretroviral therapy for human immunodeficiency virus-1 (HIV-1) infections. However, resistance owing to mutations challenge the long-term efficacy in the medication of HIV-1-infected individuals. Lopinavir (LPV) and darunavir (DRV), two second-generation drugs are the most potent among PIs, hustling the drug resistance when mutations occur in the active and nonactive site of the protease (PR). Herein, we strive for compounds that can stifle the function of wild-type (WT) HIV-1 PR along with four major single mutants (I54M, V82T, I84V, and L90M) instigating resistance to the PIs using in silico approach. Six common compounds are retrieved from six databases using combined pharmacophore-based and structure-based virtual screening methodology. LPV and DRV are docked and the binding free energy is calculated to set the cut-off value for selecting compounds. Further, to gain insight into the stability of the complexes the molecular dynamics simulation (MDS) is carried out, which uncovers two lead molecules namely NCI-524545 and ZINC12866729. Both the lead molecules connect with WT and mutant HIV-1 PRs through strong and stable hydrogen bond interactions when compared with LPV and DRV throughout the trajectory analysis. Interestingly, NCI-524545 and ZINC12866729 exhibit direct interactions with I50/50′ by replacing the conserved water molecule as evidenced by MDS, which indicates the credible potency of these compounds. Hence, we concluded that NCI-524545 and ZINC12866729 have great puissant to restrain the role of drug resistance HIV-1 PR variants, which can also show better activity through in vivo and in vitro conditions.     

New Insights into the In Silico Prediction of HIV Protease Resistance to Nelfinavir

The Human Immunodeficiency Virus type 1 protease enzyme (HIV-1 PR) is one of the most important targets of antiretroviral therapy used in the treatment of AIDS patients. The success of protease-inhibitors (PIs), however, is often limited by the emergence of protease mutations that can confer resistance to a specific drug, or even to multiple PIs. In the present study, we used bioinformatics tools to evaluate the impact of the unusual mutations D30V and V32E over the dynamics of the PR-Nelfinavir complex, considering that codons involved in these mutations were previously related to major drug resistance to Nelfinavir. Both studied mutations presented structural features that indicate resistance to Nelfinavir, each one with a different impact over the interaction with the drug. The D30V mutation triggered a subtle change in the PR structure, which was also observed for the well-known Nelfinavir resistance mutation D30N, while the V32E exchange presented a much more dramatic impact over the PR flap dynamics. Moreover, our in silico approach was also able to describe different binding modes of the drug when bound to different proteases, identifying specific features of HIV-1 subtype B and subtype C proteases.     

HIV-2 Integrase Variation in Integrase Inhibitor-Na?ve Adults in Senegal,West Africa

Background

Antiretroviral therapy for HIV-2 infection is hampered by intrinsic resistance to many of the drugs used to treat HIV-1. Limited studies suggest that the integrase inhibitors (INIs) raltegravir and elvitegravir have potent activity against HIV-2 in culture and in infected patients. There is a paucity of data on genotypic variation in HIV-2 integrase that might confer intrinsic or transmitted INI resistance.

Methods

We PCR amplified and analyzed 122 HIV-2 integrase consensus sequences from 39 HIV-2–infected, INI-naive adults in Senegal, West Africa. We assessed genetic variation and canonical mutations known to confer INI-resistance in HIV-1.

Results

No amino acid-altering mutations were detected at sites known to be pivotal for INI resistance in HIV-1 (integrase positions 143, 148 and 155). Polymorphisms at several other HIV-1 INI resistance-associated sites were detected at positions 72, 95, 125, 154, 165, 201, 203, and 263 of the HIV-2 integrase protein.

Conclusion

Emerging genotypic and phenotypic data suggest that HIV-2 is susceptible to the new class of HIV integrase inhibitors. We hypothesize that intrinsic HIV-2 integrase variation at “secondary” HIV-1 INI-resistance sites may affect the genetic barrier to HIV-2 INI resistance. Further studies will be needed to assess INI efficacy as part of combination antiretroviral therapy in HIV-2–infected patients.     

Visceral adiposity,C-peptide levels,and low lipase activities predict HIV-dyslipidemia

Protease inhibitor-based highly active antiretroviral therapy (PI-HAART) has been implicated in dyslipidemia, peripheral insulin resistance, and abnormal adipose tissue deposition in human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome, or AIDS. In vitro evidence indicates that some PIs reduce adipocyte lipoprotein (LPL) and hepatic lipase (HL) expression and activities. We examined whether LPL and HL activities are reduced in HIV-infected patients with dyslipidemia. Fasting serum lipids, glucoregulatory hormones, and postheparin LPL and HL activities, as well as whole body and regional adiposity, were measured in 19 HIV-seronegative controls, 9 HIV+ patients naive to all anti-HIV medications, 9 HIV+ patients naive to PIs, 9 HIV+ patients with prior PI experience but not currently receiving PIs, and 47 HIV+ patients receiving PI-HAART. The PI-HAART group had low LPL and HL activities. However, multiple linear regression analysis indicated that low postheparin LPL activity contributed only partially to HIV-dyslipidemia. Central adiposity and high C-peptide levels (an indicator of high insulin secretion) were stronger predictors of HIV-dyslipidemia. Low LPL and HL activities, by themselves, were insufficient to explain HIV-dyslipidemia because the PI-naive group had low LPL and HL activities but had normal adiposity, C-peptide levels, and serum lipid and lipoprotein levels. HDL-cholesterol was lower in PI-HAART and PI-naive groups than seronegative controls and was directly associated with LPL activity. These findings suggest that HIV-dyslipidemia is mediated primarily by factors that influence triglyceride and lipoprotein synthesis (e.g., central adiposity and hyperinsulinemia) and mediated only partially by factors that influence triglyceride clearance (e.g., lipase activity).     

The role of immunosuppression of mesenchymal stem cells in tissue repair and tumor growth

Human Immunodeficiency Virus Type 1 (HIV-1) protease inhibitors (PIs) are the most potent class of drugs in antiretroviral therapies. However, viral drug resistance to PIs could emerge rapidly thus reducing the effectiveness of those drugs. Of note, all current FDA-approved PIs are competitive inhibitors, i.e., inhibitors that compete with substrates for the active enzymatic site. This common inhibitory approach increases the likelihood of developing drug resistant HIV-1 strains that are resistant to many or all current PIs. Hence, new PIs that move away from the current target of the active enzymatic site are needed. Specifically, allosteric inhibitors, inhibitors that prohibit PR enzymatic activities through non-competitive binding to PR, should be sought. Another common feature of current PIs is they were all developed based on the structure-based design. Drugs derived from a structure-based strategy may generate target specific and potent inhibitors. However, this type of drug design can only target one site at a time and drugs discovered by this method are often associated with strong side effects such as cellular toxicity, limiting its number of target choices, efficacy, and applicability. In contrast, a cell-based system may provide a useful alternative strategy that can overcome many of the inherited shortcomings associated with structure-based drug designs. For example, allosteric PIs can be sought using a cell-based system without considering the site or mechanism of inhibition. In addition, a cell-based system can eliminate those PIs that have strong cytotoxic effect. Most importantly, a simple, economical, and easy-to-maintained eukaryotic cellular system such as yeast will allow us to search for potential PIs in a large-scaled high throughput screening (HTS) system, thus increasing the chances of success. Based on our many years of experience in using fission yeast as a model system to study HIV-1 Vpr, we propose the use of fission yeast as a possible surrogate system to study the effects of HIV-1 protease on cellular functions and to explore its utility as a HTS system to search for new PIs to battle HIV-1 resistant strains.     

Exploration of the effects of sequence variations between HIV-1 and HIV-2 proteases on their three-dimensional structures

Abstract

HIV protease inhibitors (PIs) approved by the FDA (US Food and Drug Administration) are a major class of antiretroviral. HIV-2 protease (PR2) is naturally resistant to most of them as PIs were designed for HIV-1 protease (PR1). In this study, we explored the impact of amino-acid substitutions between PR1 and PR2 on the structure of protease (PR) by comparing the structural variability of 13 regions using 24 PR1 and PR2 structures complexed with diverse ligands. Our analyses confirmed structural rigidity of the catalytic region and highlighted the important role of three regions in the conservation of the catalytic region conformation. Surprisingly, we showed that the flap region, corresponding to a flexible region, exhibits similar conformations in PR1 and PR2. Furthermore, we identified regions exhibiting different conformations in PR1 and PR2, which could be explained by the intrinsic flexibility of these regions, by crystal packing, or by PR1 and PR2 substitutions. Some substitutions induce structural changes in the R2 and R4 regions that could have an impact on the properties of PI-binding site and could thus modify PI binding mode. Substitutions involved in structural changes in the elbow region could alter the flexibility of the PR2 flap regions relative to PR1, and thus play a role in the transition from the semi-open form to the closed form, and have an impact on ligand binding. These results improve the understanding of the impact of sequence variations between PR1 and PR2 on the natural resistance of HIV-2 to commercially available PIs.

Communicated by Ramaswamy H. Sarma     

Unusual binding mode of an HIV-1 protease inhibitor explains its potency against multi-drug-resistant virus strains

Protease inhibitors (PIs) are an important class of drugs for the treatment of HIV infection. However, in the course of treatment, resistant viral variants with reduced sensitivity to PIs often emerge and become a major obstacle to successful control of viral load. On the basis of a compound equipotently inhibiting HIV-1 and 2 proteases (PR), we have designed a pseudopeptide inhibitor, QF34, that efficiently inhibits a wide variety of PR variants. In order to analyze the potency of the inhibitor, we constructed PR species harboring the typical (signature) mutations that confer resistance to commercially available PIs. Kinetic analyses showed that these mutated PRs were inhibited up to 1,000-fold less efficiently by the clinically approved PIs. In contrast, all PR species were effectively inhibited by QF34. In a clinical study, we have monitored 30 HIV-positive patients in the Czech Republic undergoing highly active antiretroviral therapy, and have identified highly PI resistant variants. Kinetic analyses revealed that QF34 retained its subnanomolar potency against multi-drug resistant PR variants. X-ray crystallographic analysis and molecular modeling experiments explained the wide specificity of QF34: this inhibitor binds to the PR in an unusual manner, thus avoiding contact sites that are mutated upon resistance development, and the unusual binding mode and consequently the binding energy is therefore preserved in the complex with a resistant variant. These results suggest a promising route for the design of second-generation PIs that are active against a variety of resistant PR variants.     

Independent variation and positive selection in env V1 and V2 domains within maternal-infant strains of human immunodeficiency virus type 1 in vivo.

Multiple targets for immune recognition and cellular tropism are localized to the V1 and V2 hypervariable regions in the amino portion of human immunodeficiency virus type 1 (HIV-1) gp120env. We have assessed genetic diversity in env V1 and V2 hypervariable domains in vivo within epidemiologically related strains of HIV-1. Our strategy was to analyze longitudinal samples from two seropositive mothers and multiple children infected by perinatal transmission. Although the V1 and V2 domains are closely linked in the HIV-1 genome, nucleotide sequences in V1 and in V2 evolved independently in maternal-infant viruses in vivo. A high proportion of the nucleotide substitutions would introduce amino acid diversity in V1 and in V2. A significant excess of nonsynonymous over synonymous substitutions was identified in HIV-1 env V1 and V2 peptides in the mothers and in two older children but was not generally apparent in HIV-1 sequences in infants. An excess of nonsynonymous over synonymous substitutions indicated that there is positive selection for independent genetic variation in the V1 and V2 domains in vivo. It is likely that there are host responses to complex determinants in the V1 or V2 hypervariable domain of HIV-1 gp120.     

Structure-based phenotyping predicts HIV-1 protease inhibitor resistance

Mutations in HIV-1 drug targets lead to resistance and consequent therapeutic failure of antiretroviral drugs. Phenotypic resistance assays are time-consuming and costly, and genotypic rules-based interpretations may fail to predict the effects of multiple mutations. We have developed a computational procedure that rapidly evaluates changes in the binding energy of inhibitors to mutant HIV-1 PR variants. Models of WT complexes were produced from crystal structures. Mutant complexes were built by amino acid substitutions in the WT complexes with subsequent energy minimization of the ligand and PR binding site residues. Accuracy of the models was confirmed by comparison with available crystal structures and by prediction of known resistance-related mutations. PR variants from clinical isolates were modeled in complex with six FDA-approved PIs, and changes in the binding energy (DeltaE(bind)) of mutant versus WT complexes were correlated with the ratios of phenotypic 50% inhibitory concentration (IC(50)) values. The calculated DeltaE(bind) of five PIs showed significant correlations (R(2) = 0.7-0.8) with IC(50) ratios from the Virco Antivirogram assay, and the DeltaE(bind) of six PIs showed good correlation (R(2) = 0.76-0.85) with IC(50) ratios from the Virologic PhenoSense assay. DeltaE(bind) cutoffs corresponding to a four-fold increase in IC(50) were used to define the structure-based phenotype as susceptible, resistant, or equivocal. Blind predictions for 78 PR variants gave overall agreement of 92% (kappa = 0.756) and 86% (kappa = 0.666) with PhenoSense and Antivirogram phenotypes, respectively. The structural phenotyping predicted drug resistance of clinical HIV-1 PR variants with an accuracy approaching that of frequently used cell-based phenotypic assays.     

HIV-1 protease with 20 mutations exhibits extreme resistance to clinical inhibitors through coordinated structural rearrangements

The escape mutant of HIV-1 protease (PR) containing 20 mutations (PR20) undergoes efficient polyprotein processing even in the presence of clinical protease inhibitors (PIs). PR20 shows >3 orders of magnitude decreased affinity for PIs darunavir (DRV) and saquinavir (SQV) relative to PR. Crystal structures of PR20 crystallized with yttrium, substrate analogue p2-NC, DRV, and SQV reveal three distinct conformations of the flexible flaps and diminished interactions with inhibitors through the combination of multiple mutations. PR20 with yttrium at the active site exhibits widely separated flaps lacking the usual intersubunit contacts seen in other inhibitor-free dimers. Mutations of residues 35-37 in the hinge loop eliminate interactions and perturb the flap conformation. Crystals of PR20/p2-NC contain one uninhibited dimer with one very open flap and one closed flap and a second inhibitor-bound dimer in the closed form showing six fewer hydrogen bonds with the substrate analogue relative to wild-type PR. PR20 complexes with PIs exhibit expanded S2/S2' pockets and fewer PI interactions arising from coordinated effects of mutations throughout the structure, in agreement with the strikingly reduced affinity. In particular, insertion of the large aromatic side chains of L10F and L33F alters intersubunit interactions and widens the PI binding site through a network of hydrophobic contacts. The two very open conformations of PR20 as well as the expanded binding site of the inhibitor-bound closed form suggest possible approaches for modifying inhibitors to target extreme drug-resistant HIV.     

The Ethics Police?: IRBs' Views Concerning Their Power

Background

In recent years, tensions between IRBs and principal investigators (PIs) have risen, posing the needs to understand these conflicts, their underlying causes, and possible solutions. Researchers frequently complain about IRBs, but how IRBs perceive and respond to these criticisms is unclear.

Methods

I conducted in-depth, semi-structured interviews of two hours each with 46 chairs, administrators, and members. I contacted the leadership of 60 IRBs around the country (every fourth one in the list of the top 240 institutions by NIH funding) and interviewed IRB leaders from 34 of these institutions (response rate = 55%).

Results

Interviewees suggest that IRBs and PIs may view the nature and causes of these conflicts very differently and misunderstand each other, exacerbating tensions. Interviewees often recognized that they were seen by PIs as having power, but many IRBs saw themselves as not having it (e.g., because they are “merely following the regulations,” and their process is “open,” impersonal and unbiased, and they are themselves subject to higher administrative agencies), or as having it, but feeling it is small, and/or justified (e.g., because it is based on overriding goals and “the community values,” and IRBs are trying to help PIs). Questions emerge as to whether IRBs do or should have power, and if so, what kind, how much, and when. Several factors may affect these tensions.

Conclusions

This study, the first to explore how IRBs perceive and understand conflicts and power relationships with PIs, suggests how IRBs and PIs may differ in viewing their respective roles and relationships, exacerbating tensions. These issues have critical implications for IRBs and PIs—to enhance their awareness and understanding of these conflicts (e.g., that IRBs may have discretionary power) and the underlying causes involved, and for increasing attention to research, practice, and policy concerning these areas of IRB functioning and interactions with PIs.     

Analysis of substrate interactions of the Rous sarcoma virus wild type and mutant proteases and human immunodeficiency virus-1 protease using a set of systematically altered peptide substrates.

In the preceding study, mutant Rous sarcoma virus (RSV) proteases are described in which three amino acids found in the human immunodeficiency virus-1 (HIV-1) protease (PR) were substituted into structurally comparable positions (Grinde, B., Cameron, C.E., Leis, J., Weber, I., Wlodawer, A., Burstein, H., Bizub, D., and Skalka, A. M. (1992) J. Biol. Chem. 267, 9481-9490). In this report, the activity of the wild type and these mutant PRs are compared using a set of RSV NC-PR peptide substrates with single amino acid substitutions in each of the P4 to P3' positions. With most substrates, the relative activities of the two active mutants followed that of the RSV PR. Substitutions in the P1 and P1' positions were an exception; in this case, the mutants behaved more like the HIV-1 PR. These results confirm predictions from structural analyses which indicate that residues 105 and 106 of the RSV PR are important in forming the S1 and S1' binding subsites. These results, further analyzed with the aid of computer modeling of the RSV PR with different substrates, provide an explanation for why only partial HIV-1 PR-like behavior was introduced into the above RSV PR mutants.     

Retracing the evolutionary pathways of human immunodeficiency virus type 1 resistance to protease inhibitors: virus fitness in the absence and in the presence of drug

Human immunodeficiency virus type 1 (HIV-1) resistance to protease inhibitors (PI) is a major obstacle to the full success of combined antiretroviral therapy. High-level resistance to these compounds is the consequence of stepwise accumulation of amino acid substitutions in the HIV-1 protease (PR), following pathways that usually differ from one inhibitor to another. The selective advantage conferred by resistance mutations may depend upon several parameters: the impact of the mutation on virus infectivity in the presence or absence of drug, the nature of the drug, and its local concentration. Because drug concentrations in vivo are subject to extensive variation over time and display a markedly uneven tissue distribution, the parameters of selection for HIV-1 resistance to PI in treated patients are complex and poorly understood. In this study, we have reconstructed a large series of HIV-1 mutants that carry single or combined mutations in the PR, retracing the accumulation pathways observed in ritonavir-, indinavir-, and saquinavir-treated patients. We have then measured the phenotypic resistance and the drug-free infectivity of these mutant viruses. A deeper insight into the evolutionary value of HIV-1 PR mutants came from a novel assay system designed to measure the replicative advantage of mutant viruses as a function of drug concentration. By tracing the resultant fitness profiles, we determined the range of drug concentrations for which mutant viruses displayed a replicative advantage over the wild type and the extent of this advantage. Fitness profiles were fully consistent with the order of accumulation of resistance mutations observed in treated patients and further emphasise the key importance of local drug concentration in the patterns of selection of drug-resistant HIV-1 mutants.