Antibody 2G12 Recognizes Di-Mannose Equivalently in Domain- and Nondomain-Exchanged Forms but Only Binds the HIV-1 Glycan Shield if Domain Exchanged

The broadly neutralizing anti-human immunodeficiency virus type 1 (HIV-1) antibody 2G12 targets the high-mannose cluster on the glycan shield of HIV-1. 2G12 has a unique V_H domain-exchanged structure, with a multivalent binding surface that includes two primary glycan binding sites. The high-mannose cluster is an attractive target for HIV-1 vaccine design, but so far, no carbohydrate immunogen has elicited 2G12-like antibodies. Important questions remain as to how this domain exchange arose in 2G12 and how this unusual event conferred unexpected reactivity against the glycan shield of HIV-1. In order to address these questions, we generated a nondomain-exchanged variant of 2G12 to produce a conventional Y/T-shaped antibody through a single amino acid substitution (2G12 I19R) and showed that, as for the 2G12 wild type (2G12 WT), this antibody is able to recognize the same Manα1,2Man motif on recombinant gp120, Candida albicans, and synthetic glycoconjugates. However, the nondomain-exchanged variant of 2G12 is unable to bind the cluster of mannose moieties on the surface of HIV-1. Crystallographic analysis of 2G12 I19R in complex with Manα1,2Man revealed an adaptable hinge between V_H and C_H1 that enables the V_H and V_L domains to assemble in such a way that the configuration of the primary binding site and its interaction with disaccharide are remarkably similar in the nondomain-exchanged and domain-exchanged forms. Together with data that suggest that very few substitutions are required for domain exchange, the results suggest potential mechanisms for the evolution of domain-exchanged antibodies and immunization strategies for eliciting such antibodies.The broadly neutralizing anti-human immunodeficiency virus type 1 (HIV-1) human monoclonal antibody 2G12 recognizes a highly conserved cluster of oligomannose residues on the glycan shield of the HIV-1 envelope glycoprotein gp120 (9, 10, 36, 39, 44, 45). The antibody binds terminal Manα1,2Man-linked sugars of high-mannose glycans (Man_8-9GlcNAc₂) with nanomolar affinity using a unique domain-exchanged structure in which the variable domains of the heavy chains swap to form a multivalent binding surface that includes two conventional antigen-combining sites and a third potential noncanonical binding site at the novel V_H/V_H′ interface (10). gp120 is one of the most heavily glycosylated proteins identified to date, with approximately 50% of its mass arising from host-derived N-linked glycans (24). These glycans play an important role in shielding the virus from the host immune system (34). Carbohydrates are generally poorly immunogenic, and the dense covering of glycans is often referred to as the “silent face” (52). The oligomannose glycans on gp120 in particular are closely packed, forming a tight cluster, and the unique domain-exchanged structure of 2G12 has been proposed as a means to recognize this cluster (10).The attraction of 2G12 as a template for HIV-1 vaccine design has recently been highlighted in a study that showed the antibody can protect macaques against simian-human immunodeficiency virus (SHIV) challenge at remarkably low serum neutralizing titers (18, 30, 43). When using 2G12 as a template for design of a carbohydrate immunogen, some important considerations must be taken into account. First, 2G12 is unusual in its specificity (targeting host cell-derived glycan motifs presented in a “nonself” arrangement), and although the 2G12 epitope is common to many HIV-1 envelopes, 2G12-like antibodies are rarely elicited (5, 38). Second, due to inherently weak carbohydrate-protein interactions (49, 50), it can be assumed that in order for a carbohydrate-specific antibody to achieve the affinity required to neutralize HIV-1, the avidity of the interaction must be enhanced by both Fab arms of the IgG-contacting glycan motifs simultaneously on the HIV-1 envelope. Third, the unique domain-exchanged structure of 2G12 has not been described for any other antibody (10). These considerations raise a number of questions. Which antigen or sequence of antigens elicited 2G12? Is domain exchange the only solution for recognition of highly clustered oligomannoses? If so, can domain exchange be elicited by immunization with clustered oligomannose motifs (38)?Efforts to design immunogens that elicit responses to the glycan shield of HIV-1 and neutralize the virus have to date been unsuccessful (2, 3, 14, 20, 21, 28, 29, 32, 46-48). Immunogen design strategies that mimic the 2G12 epitope have focused on both chemical and biochemical methods to generate multivalent and clustered displays of both high-mannose sugars (Man_8-9GlcNAc₂) (13, 15, 20, 21, 27-29, 32, 47) and truncated versions of such sugars (Man₉ and Man₄ linked via a 5-carbon linker) (3, 46). These constructs typically bind 2G12 with a lower affinity (on the order of 1 to 3 logs) than recombinant gp120. Although mannose-specific antibodies have been elicited by these immunogens, no HIV-1-neutralizing activities have been described. In a study by Luallen et al., antibodies against recombinant gp120 were generated by immunization with yeast cells that had been mutated to display only Man₈GlcNAc₂ glycans (27, 29). However, no neutralization activity against the corresponding pseudovirus was noted. It was proposed that this was due to either the low abundance of the gp120-specific antibodies in the serum or the antibodies elicited being against carbohydrate epitopes that differed from the 2G12 epitope (27, 29).To gain a better understanding of the importance of domain exchange for glycan recognition and how 2G12 may have been induced, we analyzed the binding characteristics of a nondomain-exchanged (conventional Y/T-shaped) 2G12 variant antibody. This variant was generated by a single point mutation, I19R, that disrupts the V_H/V_H′ interface. We show that the mutant is still able to recognize the Manα1,2Man motif arrayed on yeast, synthetic glycoconjugates, and recombinant gp120 in enzyme-linked immunosorbent assay (ELISA) format but is unable to recognize the discrete, dense mannose clusters found on the surface of the HIV-1 envelope (as measured by neutralization activity and binding to HIV-1-transfected cells). We further show that a major conformational change in the elbow region between V_H and C_H1 in this nondomain-exchanged variant of 2G12 allows the variable domains to assemble in similar orientations with respect to each other, as in the 2G12 wild type (WT), with an identical primary binding site, although with dramatically different orientations with respect to the constant domains. Thus, we conclude that 2G12 recognizes Manα1,2Man motifs in an identical manner in both conventional and domain-exchanged configurations, and the 2G12 specificity for Manα1,2Man likely first arose in a conventional IgG predecessor of 2G12. Subsequent domain exchange was the key event that then enabled high-affinity recognition of the tight oligomannose clusters on HIV-1.     

General Epistatic Models of the Risk of Complex Diseases

The range of possible gene interactions in a multilocus model of a complex inherited disease is studied by exploring genotype-specific risks subject to the constraint that the allele frequencies and marginal risks are known. We quantify the effect of gene interactions by defining the interaction ratio, , where K_R is the recurrence risk to relatives with relationship R for the true model and is the recurrence risk to relatives for a multiplicative model with the same marginal risks. We use a Markov chain Monte Carlo (MCMC) procedure to sample from the space of possible models. We find that the average of C_R increases with the number of loci for both low frequency (p = 0.03) and higher frequency (p = 0.25) causative alleles. Furthermore, the probability that C_R > 1 is nearly 1. Similar results are obtained when more weight is given to risk models that are closer to the comparable multiplicative model. These results imply that, in general, gene interactions will result in greater heritability of a complex inherited disease than is expected on the basis of a multiplicative model of interactions and hence may provide a partial explanation for the problem of missing heritability of complex diseases.ALTHOUGH many genome-wide association studies (GWAS) have been performed and have found hundreds of SNPs associated with higher risk of complex inherited diseases, those SNPs so far account for only a small fraction of the inherited risk of those diseases (Altshuler et al. 2008). Several not mutually exclusive explanations have been proposed for the “missing heritability,” i.e., the heritability that is not yet accounted for by SNPs found in GWAS (Manolio et al. 2009): (i) common alleles of small effect that have not been found because GWAS done so far have been underpowered, (ii) low-frequency alleles of moderate effect that are difficult to find using HapMap SNPs, (iii) rare copy-number variants that are not in strong linkage disequilibrium (LD) with HapMap SNPs, (iv) inherited epigenetic factors that are not in strong LD with HapMap SNPs, and (v) interactions among causative alleles that conceal their true contribution to heritability. In this article we investigate the last possibility and determine the extent to which interactions may account for missing heritability.Our analysis is in the same spirit as that of Culverhouse et al. (2002). We assume that the risk of being affected by a complex disease is determined by an individual''s genotype at two or more loci and that the frequencies of causative alleles and the average risks for each one-locus genotype (the marginal risks) are known. Culverhouse et al. (2002) assumed the marginal risks were the same for all genotypes and all loci. In that case, causative alleles have odds ratios of 1; they contribute to risk only through their interactions. Culverhouse et al. found the risk function that maximized the heritability and showed that the maximum possible heritability attributable to interactions increased with the number of loci. They concluded that it is quite possible that interactions among loci that have no main effect could contribute substantially to the heritability of a complex disease and indeed could account for “virtually all the variation in affection status for diseases with any prevalence” (Culverhouse et al. 2002, p. 468).We generalize the analysis of Culverhouse et al. in three ways. First, we allow causative alleles to have odds ratios >1. Second, we explore the entire space of models instead of focusing only on the risk model that maximizes heritability. Third, we examine how the importance of gene interactions depends on the “distance” between a risk model and a comparable multiplicative model. We show that gene interactions can substantially increase the heritability of risk as measured by recurrence risk, K_R, and that the effect increases with the number of loci carrying causative alleles. Furthermore, we show that these results are true even if more weight is given to models that are closer to a comparable multiplicative model.Geometrically, the space of feasible genotype-specific risks subject to the aforementioned constraints (i.e., that the allele frequencies and marginal risks are known) corresponds to a high-dimensional convex polytope, and the computational problem of interest involves integrating a quadratic function over the polytope. The dimension of the polytope grows exponentially with the number of loci, and, therefore, analytic computation is intractable for more than two loci. Hence, we devise a Monte Carlo approach to tackle the problem. Note that, because of high dimensionality, rejection algorithms are not appropriate for this kind of problem. We instead employ a Markov chain Monte Carlo (MCMC) algorithm based on a random walk that always stays inside the polytope. We present empirical results for up to five loci and obtain a closed-form formula for the minimum of K_R over the polytope; the latter result applies to an arbitrary number of loci. Interestingly, the minimum of K_R decreases as the number L of loci increases, but the average of K_R over the polytope increases with L.     

eNOS-β-Actin Interaction Contributes to Increased Peroxynitrite Formation during Hyperoxia in Pulmonary Artery Endothelial Cells and Mouse Lungs

Oxygen toxicity is the most severe side effect of oxygen therapy in neonates and adults. Pulmonary damage of oxygen toxicity is related to the overproduction of reactive oxygen species (ROS). In the present study, we investigated the effect of hyperoxia on the production of peroxynitrite in pulmonary artery endothelial cells (PAEC) and mouse lungs. Incubation of PAEC under hyperoxia (95% O₂) for 24 h resulted in an increase in peroxynitrite formation. Uric acid, a peroxynitrite scavenger, prevented hyperoxia-induced increase in peroxynitrite. The increase in peroxynitrite formation is accompanied by increases in nitric oxide (NO) release and endothelial NO synthase (eNOS) activity. We have previously reported that association of eNOS with β-actin increases eNOS activity and NO production in lung endothelial cells. To study whether eNOS-β-actin association contributes to increased peroxynitrite production, eNOS-β-actin interaction were inhibited by reducing β-actin availability or by using a synthetic peptide (P326TAT) containing a sequence corresponding to the actin binding site on eNOS. We found that disruption of eNOS-β-actin interaction prevented hyperoxia-induced increases in eNOS-β-actin association, eNOS activity, NO and peroxynitrite production, and protein tyrosine nitration. Hyperoxia failed to induce the increases in eNOS activity, NO and peroxynitrite formation in COS-7 cells transfected with plasmids containing eNOS mutant cDNA in which amino acids leucine and tryptophan were replaced with alanine in the actin binding site on eNOS. Exposure of mice to hyperoxia resulted in significant increases in eNOS-β-actin association, eNOS activity, and protein tyrosine nitration in the lungs. Our data indicate that increased association of eNOS with β-actin in PAEC contributes to hyperoxia-induced increase in the production of peroxynitrite which may cause nitrosative stress in pulmonary vasculature.     

Managing and mining protein crystallization data

The crystallization of macromolecules remains a major bottleneck in structural biology. The routine screening of more than one thousand crystallization conditions and subsequent optimization by fine screening presents a challenge to conventional laboratory notebook keeping. In addition, the development of high-throughput robotic crystallization and imaging systems presents a pressing need for low-cost laboratory information management system (LIMS). Here we describe CLIMS2, a crystallization LIMS that features a simple, user-friendly graphical interface, allowing the storage, management, retrieval and mining of crystallization data. The CLIMS2 executable and documentation is freely available at http://clims.med.monash.edu.au.     

Molecular genotype identification of the Gallus gallus major histocompatibility complex

The chicken major histocompatibility complex (MHC) is commonly defined by serologic reactions of erythrocytes with antibodies specific to the highly polymorphic MHC class I (BF) and MHC class IV (BG) antigens. The microsatellite marker LEI0258 is known to be physically located within the MHC, between the BG and BF regions. DNA from various serologically defined MHC haplotypes was amplified by polymerase chain reaction with primers surrounding this marker. Twenty-six distinctive allele sizes were identified. Some serologically well-defined MHC haplotypes shared a common LEI0258 allele size but could be distinguished either by the addition of information from another nearby marker (MCW0371) or by small indels or single nucleotide polymorphism (SNP) differences between the alleles. The association between LEI0258 allele and serologically defined MHC haplotype was very consistent for the same haplotype from multiple sources. Sequence information for the region defined by LEI0258 was obtained for 51 different haplotypes. Two internal repeats whose lengths were 13 and 12 bp, respectively, are the primary basis for allelic variability. Allele size variation ranges from 182 to 552 bp. Four indels and five SNPs in the surrounding sequence provide additional means for distinguishing alleles. Typing with LEI0258 and MCW0371 will be useful in identifying MHC haplotypes in outbred populations of chickens particularly for the initial development of serological reagents.     

Nitric oxide reduces NADPH oxidase 5 (Nox5) activity by reversible S-nitrosylation

The NADPH oxidases (Noxs) are a family of transmembrane oxidoreductases that produce superoxide and other reactive oxygen species (ROS). Nox5 was the last of the conventional Nox isoforms to be identified and is a calcium-dependent enzyme that does not depend on accessory subunits for activation. Recently, Nox5 was shown to be expressed in human blood vessels and therefore the goal of this study was to determine whether nitric oxide (NO) can modulate Nox5 activity. Endogenously produced NO potently inhibited basal and stimulated Nox5 activity and this inhibition was reversible with chronic, but not acute, exposure to L-NAME. Nox5 activity was reduced by NO donors, iNOS, and eNOS and in endothelial cells and LPS-stimulated smooth muscle cells in a manner dependent on NO concentration. ROS production was diminished by NO in an isolated enzyme activity assay replete with surplus calcium and NADPH. There was no evidence for NO-dependent changes in tyrosine nitration, glutathiolation, or phosphorylation of Nox5. In contrast, there was evidence for the increased nitrosylation of Nox5 as determined by the biotin-switch assay and mass spectrometry. Four S-nitrosylation sites were identified and of these, mutation of C694 dramatically lowered Nox5 activity, NO sensitivity, and biotin labeling. Furthermore, coexpression of the denitrosylation enzymes thioredoxin 1 and GSNO reductase prevented NO-dependent inhibition of Nox5. The potency of NO against other Nox enzymes was in the order Nox1 ≥ Nox3 > Nox5 > Nox2, whereas Nox4 was refractory. Collectively, these results suggest that endogenously produced NO can directly S-nitrosylate and inhibit the activity of Nox5.     

A double-blind, placebo-controlled, randomized, clinical trial of the TLR-3 agonist rintatolimod in severe cases of chronic fatigue syndrome

Background

Chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) is a severely debilitating disease of unknown pathogenesis consisting of a variety of symptoms including severe fatigue. The objective of the study was to examine the efficacy and safety of a TLR-3 agonist, rintatolimod (Poly I: C₁₂U), in patients with debilitating CFS/ME.

Methods and Findings

A Phase III prospective, double-blind, randomized, placebo-controlled trial comparing twice weekly IV rintatolimod versus placebo was conducted in 234 subjects with long-standing, debilitating CFS/ME at 12 sites. The primary endpoint was the intra-patient change from baseline at Week 40 in exercise tolerance (ET). Secondary endpoints included concomitant drug usage, the Karnofsky Performance Score (KPS), Activities of Daily Living (ADL), and Vitality Score (SF 36). Subjects receiving rintatolimod for 40 weeks improved intra-patient placebo-adjusted ET 21.3% (p = 0.047) from baseline in an intention-to-treat analysis. Correction for subjects with reduced dosing compliance increased placebo-adjusted ET improvement to 28% (p = 0.022). The improvement observed represents approximately twice the minimum considered medically significant by regulatory agencies. The rintatolimod cohort vs. placebo also reduced dependence on drugs commonly used by patients in an attempt to alleviate the symptoms of CFS/ME (p = 0.048). Placebo subjects crossed-over to receive rintatolimod demonstrated an intra-patient improvement in ET performance at 24 weeks of 39% (p = 0.04). Rintatolimod at 400 mg twice weekly was generally well-tolerated.

Conclusions/Significance

Rintatolimod produced objective improvement in ET and a reduction in CFS/ME related concomitant medication usage as well as other secondary outcomes.

Trial Registration

ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT00215800","term_id":"NCT00215800"}}NCT00215800