Evidence that Antibody-Mediated Neutralization of Human Immunodeficiency Virus Type 1 by Sera from Infected Individuals Is Independent of Coreceptor Usage

Human immunodeficiency virus type 1 (HIV-1) uses a variety of chemokine receptors as coreceptors for virus entry, and the ability of the virus to be neutralized by antibody may depend on which coreceptors are used. In particular, laboratory-adapted variants of the virus that use CXCR4 as a coreceptor are highly sensitive to neutralization by sera from HIV-1-infected individuals, whereas primary isolates that use CCR5 instead of, or in addition to, CXCR4 are neutralized poorly. To determine whether this dichotomy in neutralization sensitivity could be explained by differential coreceptor usage, virus neutralization by serum samples from HIV-1-infected individuals was assessed in MT-2 cells, which express CXCR4 but not CCR5, and in mitogen-stimulated human peripheral blood mononuclear cells (PBMC), where multiple coreceptors including CXCR4 and CCR5 are available for use. Our results showed that three of four primary isolates with a syncytium-inducing (SI) phenotype and that use CXCR4 and CCR5 were neutralized poorly in both MT-2 cells and PBMC. The fourth isolate, designated 89.6, was more sensitive to neutralization in MT-2 cells than in PBMC. We showed that the neutralization of 89.6 in PBMC was not improved when CCR5 was blocked by having RANTES, MIP-1α, and MIP-1β in the culture medium, indicating that CCR5 usage was not responsible for the decreased sensitivity to neutralization in PBMC. Consistent with this finding, a laboratory-adapted strain of virus (IIIB) was significantly more sensitive to neutralization in CCR5-deficient PBMC (homozygous Δ32-CCR5 allele) than were two of two SI primary isolates tested. The results indicate that the ability of HIV-1 to be neutralized by sera from infected individuals depends on factors other than coreceptor usage.Human immunodeficiency virus type 1 (HIV-1), the etiologic agent of AIDS, utilizes the HLA class II receptor, CD4, as its primary receptor to gain entry into cells (17, 30). Entry is initiated by a high-affinity interaction between CD4 and the surface gp120 of the virus (32). Subsequent to this interaction, conformational changes that permit fusion of the viral membrane with cellular membranes occur within the viral transmembrane gp41 (9, 58, 59). In addition to CD4, one or more recently described viral coreceptors are needed for fusion to take place. These coreceptors belong to a family of seven-transmembrane G-protein-coupled proteins and include the CXC chemokine receptor CXCR4 (3, 4, 24, 44), the CC chemokine receptors CCR5 (1, 12, 13, 18, 21, 23, 45) and, less commonly, CCR3 and CCR2b (12, 21), and two related orphan receptors termed BONZO/STRL33 and BOB (19, 34). Coreceptor usage by HIV-1 can be blocked by naturally occurring ligands, including SDF-1 for CXCR4 (4, 44), RANTES, MIP-1α, and MIP-1β in the case of CCR5 (13, 45), and eotaxin for CCR3 (12).The selective cellular tropisms of different strains of HIV-1 may be determined in part by coreceptor usage. For example, all culturable HIV-1 variants replicate initially in mitogen-stimulated human peripheral blood mononuclear cells (PBMC), but only a minor fraction are able to infect established CD4⁺ T-cell lines (43). This differential tropism is explained by the expression of CXCR4 together with CCR5 and other CC chemokine coreceptors on PBMC and the lack of expression of CCR5 on most T-cell lines (5, 10, 19, 35, 39, 50, 53). Indeed, low-passage field strains (i.e., primary isolates) of HIV-1 that fail to replicate in T-cell lines use CCR5 as their major coreceptor and are unable to use CXCR4 (1, 12, 18, 21, 23, 28). Because these isolates rarely produce syncytia in PBMC and fail to infect MT-2 cells, they are often classified as having a non-syncytium-inducing (NSI) phenotype. Primary isolates with a syncytium-inducing (SI) phenotype are able to use CXCR4 alone or, more usually, in addition to CCR5 (16, 20, 51). HIV-1 variants that have been passaged multiple times in CD4⁺ T-cell lines, and therefore considered to be laboratory adapted, exhibit a pattern of coreceptor usage that resembles that of SI primary isolates. Most studies have shown that the laboratory-adapted strain IIIB uses CXCR4 alone (3, 13, 20, 24, 51) and that MN and SF-2 use CXCR4 primarily and CCR5 to a lesser degree (11, 13). Sequences within the V3 loop of gp120 have been shown to be important, either directly or indirectly, for the interaction of HIV-1 with both CXCR4 (52) and CCR5 (12, 14, 54, 60). This region of gp120 contains multiple determinants of cellular tropism (43) and is a major target for neutralizing antibodies to laboratory-adapted HIV-1 but not to primary isolates (29, 46, 57).It has been known for some time that the ability of sera from HIV-1-infected individuals to neutralize laboratory-adapted strains of HIV-1 does not predict their ability to neutralize primary isolates in vitro (7). In general, the former viruses are highly sensitive to neutralization whereas the latter viruses are neutralized poorly by antibodies induced in response to HIV-1 infection (7, 43). Importantly, neutralizing antibodies generated by candidate HIV-1 subunit vaccines have been highly specific for laboratory-adapted viruses (26, 37, 38). In principle, the dichotomy in neutralization sensitivity between these two categories of virus could be related to coreceptor usage. To test this, we investigated whether the use of CXCR4 in the absence of CCR5 would render SI primary isolates highly sensitive to neutralization in vitro by sera from HIV-1-infected individuals. Two similar studies using human monoclonal antibodies and soluble CD4 have been reported (31a, 55).     

Neutralization Sensitivity of Human Immunodeficiency Virus Type 1 Primary Isolates to Antibodies and CD4-Based Reagents Is Independent of Coreceptor Usage

We have investigated whether the identity of the coreceptor (CCR5, CXCR4, or both) used by primary human immunodeficiency virus type 1 (HIV-1) isolates to enter CD4⁺ cells influences the sensitivity of these isolates to neutralization by monoclonal antibodies and CD4-based agents. Coreceptor usage was not an important determinant of neutralization titer for primary isolates in peripheral blood mononuclear cells. We also studied whether dualtropic primary isolates (able to use both CCR5 and CXCR4) were differentially sensitive to neutralization by the same antibodies when entering U87MG-CD4 cells stably expressing either CCR5 or CXCR4. Again, we found that the coreceptor used by a virus did not greatly affect its neutralization sensitivity. Similar results were obtained for CCR5- or CXCR4-expressing HOS cell lines engineered to express green fluorescent protein as a reporter of HIV-1 entry. Neutralizing antibodies are therefore unlikely to be the major selection pressure which drives the phenotypic evolution (change in coreceptor usage) of HIV-1 that can occur in vivo. In addition, the increase in neutralization sensitivity found when primary isolates adapt to growth in transformed cell lines in vitro has little to do with alterations in coreceptor usage.Human immunodeficiency virus type 1 (HIV-1) enters CD4⁺ T cells via an interaction with CD4 and coreceptor molecules, the most important of which yet identified are the chemokine receptors CXCR4 and CCR5 (4, 12, 23, 26, 28, 32). CXCR4 is used by T-cell line-tropic (T-tropic) primary isolates or T-cell line-adapted (TCLA) lab strains, whereas CCR5 is used by primary isolates of the macrophage-tropic (M-tropic) phenotype (4, 12, 23, 26, 28, 32). Most T-tropic isolates and some TCLA strains are actually dualtropic in that they can use both CXCR4 and CCR5 (and often other coreceptors such as CCR3, Bonzo/STRL33, and BOB/gpr15), at least in coreceptor-transfected cells (18, 24, 30, 54, 89). The M-tropic and T-tropic/dualtropic nomenclature has often been used interchangeably with the terms “non-syncytium-inducing” (NSI) and “syncytium-inducing” (SI), although it is semantically imprecise to do so.M-tropic viruses are those most commonly transmitted sexually (3, 33, 87, 106) and from mother to infant (2, 72, 81). If T-tropic strains are transmitted, or when they emerge, this is associated with a more rapid course of disease in both adults (17, 37, 46, 51, 52, 76, 78, 82, 92, 101) and children (6, 45, 84, 90). However, T-tropic viruses emerge in only about 40% of infected people, usually only several years after infection (76, 78). A well-documented, albeit anecdotal, study found that when a T-tropic strain was transmitted by direct transfer of blood, its replication was rapidly suppressed: the T-tropic virus was eliminated from the body, and M-tropic strains predominated (20). These results suggest that there is a counterselection pressure against the emergence of T-tropic strains during the early stages of HIV-1 infection in most people. But what is this pressure?Since the M-tropic and T-tropic phenotypes are properties mediated by the envelope glycoproteins whose function is to associate with CD4 and the coreceptors, a selection pressure differentially exerted on M- and T-tropic viruses could, in principle, act at the level of virus entry. In other words, neutralizing antibodies to the envelope glycoproteins, or the chemokine ligands of the coreceptors, could theoretically interfere more potently with the interactions of T-tropic strains with CXCR4 than with M-tropic viruses and CCR5. A differential effect of this nature could suppress the emergence of T-tropic viruses. Consistent with this possibility, neutralizing antibodies are capable of preventing the CD4-dependent association of gp120 with CCR5 (42, 94, 103), and chemokines can also prevent the coreceptor interactions of HIV-1 (8, 13, 23, 28, 70).Here, we explore whether the efficiency of HIV-1 neutralization is affected by coreceptor usage. Although earlier studies have not found T-tropic strains to be inherently more neutralization sensitive than M-tropic ones (20, 40, 44), previously available reagents and techniques may not have been adequate to fully address this question. One major problem is that even single residue changes can drastically affect both antibody binding to neutralization epitopes and the HIV-1 phenotype (25, 55, 62, 67, 83, 91), and so studies using relatively unrelated viruses and a fixed antibody (polyclonal or monoclonal) preparation have two variables to contend with: the viral phenotype (coreceptor use) and the antigenic structure of the virus and hence the efficiency of the antibody-virion interaction.We have used a new experimental strategy to explore whether coreceptor usage affects neutralization sensitivity in the absence of other confounding variables: the use of dualtropic viruses able to enter CD4⁺ cells via either CCR5 or CXCR4. By using a constant HIV-1 isolate or clone and the same monoclonal antibodies (MAbs) or CD4-based reagents as neutralizing agents, we can ensure that the only variable under study in the neutralization reaction is the nature of the coreceptor used for entry. Our major conclusion is that there is no strong association between coreceptor usage and neutralization sensitivity for primary HIV-1 isolates. Independent studies have reached the same conclusion (53a, 59). The emergence of T-tropic (SI) viruses in vivo may be unlikely to be due to escape from antibody-mediated selection pressure.     

The Cell Tropism of Human Immunodeficiency Virus Type 1 Determines the Kinetics of Plasma Viremia in SCID Mice Reconstituted with Human Peripheral Blood Leukocytes

Most individuals infected with human immunodeficiency virus type 1 (HIV-1) initially harbor macrophage-tropic, non-syncytium-inducing (M-tropic, NSI) viruses that may evolve into T-cell-tropic, syncytium-inducing viruses (T-tropic, SI) after several years. The reasons for the more efficient transmission of M-tropic, NSI viruses and the slow evolution of T-tropic, SI viruses remain unclear, although they may be linked to expression of appropriate chemokine coreceptors for virus entry. We have examined plasma viral RNA levels and the extent of CD4⁺ T-cell depletion in SCID mice reconstituted with human peripheral blood leukocytes following infection with M-tropic, dual-tropic, or T-tropic HIV-1 isolates. The cell tropism was found to determine the course of viremia, with M-tropic viruses producing sustained high viral RNA levels and sparing some CD4⁺ T cells, dual-tropic viruses producing a transient and lower viral RNA spike and extremely rapid depletion of CD4⁺ T cells, and T-tropic viruses causing similarly lower viral RNA levels and rapid-intermediate rates of CD4⁺ T-cell depletion. A single amino acid change in the V3 region of gp120 was sufficient to cause one isolate to switch from M-tropic to dual-tropic and acquire the ability to rapidly deplete all CD4⁺ T cells.The envelope gene of human immunodeficiency virus type 1 (HIV-1) determines the cell tropism of the virus (11, 32, 47, 62), the use of chemokine receptors as cofactors for viral entry (4, 17), and the ability of the virus to induce syncytia in infected cells (55, 60). Cell tropism is closely linked to but probably not exclusively determined by the ability of different HIV-1 envelopes to bind CD4 and the CC or the CXC chemokine receptors and initiate viral fusion with the target cell. Macrophage-tropic (M-tropic) viruses infect primary cultures of macrophages and CD4⁺ T cells and use CCR5 as the preferred coreceptor (2, 5, 15, 23, 26, 31). T-cell-tropic (T-tropic) viruses can infect primary cultures of CD4⁺ T cells and established T-cell lines, but not primary macrophages. T-tropic viruses use CXCR4 as a coreceptor for viral entry (27). Dual-tropic viruses have both of these properties and can use either CCR5 or CXCR4 (and infrequently other chemokine receptors [25]) for viral entry (24, 37, 57). M-tropic viruses are most frequently transmitted during primary infection of humans and persist throughout the duration of the infection (63). Many, but not all, infected individuals show an evolution of virus cell tropism from M-tropic to dual-tropic and finally to T-tropic with increasing time after infection (21, 38, 57). Increases in replicative capacity of viruses from patients with long-term infection have also been noted (22), and the switch to the syncytium-inducing (SI) phenotype in T-tropic or dual-tropic isolates is associated with more rapid disease progression (10, 20, 60). Primary infection with dual-tropic or T-tropic HIV, although infrequent, often leads to rapid disease progression (16, 51). The viral and host factors that determine the higher transmission rate of M-tropic HIV-1 and the slow evolution of dual- or T-tropic variants remain to be elucidated (4).These observations suggest that infection with T-tropic, SI virus isolates in animal model systems with SCID mice grafted with human lymphoid cells or tissue should lead to a rapid course of disease (1, 8, 44–46). While some studies in SCID mice grafted with fetal thymus and liver are in agreement with this concept (33, 34), our previous studies with the human peripheral blood leukocyte-SCID (hu-PBL-SCID) mouse model have shown that infection with M-tropic isolates (e.g., SF162) causes more rapid CD4⁺ T-cell depletion than infection with T-tropic, SI isolates (e.g., SF33), despite similar proviral copy numbers, and that this property mapped to envelope (28, 41, 43). However, the dual-tropic 89.6 isolate (19) caused extremely rapid CD4⁺ T-cell depletion in infected hu-PBL-SCID mice that was associated with an early and transient increase in HIV-1 plasma viral RNA (29). The relationship between cell tropism of the virus isolate and the pattern of disease in hu-PBL-SCID mice is thus uncertain. We have extended these studies by determining the kinetics of HIV-1 RNA levels in serial plasma samples of hu-PBL-SCID mice infected with primary patient isolates or laboratory stocks that differ in cell tropism and SI properties. The results showed significant differences in the kinetics of HIV-1 replication and CD4⁺ T-cell depletion that are determined by the cell tropism of the virus isolate.     

Analysis of Free Energy Signals Arising from Nucleotide Hybridization Between rRNA and mRNA Sequences during Translation in Eubacteria

A decoding algorithm is tested that mechanistically models the progressive alignments that arise as the mRNA moves past the rRNA tail during translation elongation. Each of these alignments provides an opportunity for hybridization between the single-stranded, -terminal nucleotides of the 16S rRNA and the spatially accessible window of mRNA sequence, from which a free energy value can be calculated. Using this algorithm we show that a periodic, energetic pattern of frequency 1/3 is revealed. This periodic signal exists in the majority of coding regions of eubacterial genes, but not in the non-coding regions encoding the 16S and 23S rRNAs. Signal analysis reveals that the population of coding regions of each bacterial species has a mean phase that is correlated in a statistically significant way with species () content. These results suggest that the periodic signal could function as a synchronization signal for the maintenance of reading frame and that codon usage provides a mechanism for manipulation of signal phase.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]     

Algorithms for Finding Small Attractors in Boolean Networks

A Boolean network is a model used to study the interactions between different genes in genetic regulatory networks. In this paper, we present several algorithms using gene ordering and feedback vertex sets to identify singleton attractors and small attractors in Boolean networks. We analyze the average case time complexities of some of the proposed algorithms. For instance, it is shown that the outdegree-based ordering algorithm for finding singleton attractors works in time for , which is much faster than the naive time algorithm, where is the number of genes and is the maximum indegree. We performed extensive computational experiments on these algorithms, which resulted in good agreement with theoretical results. In contrast, we give a simple and complete proof for showing that finding an attractor with the shortest period is NP-hard.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]     

Endosomal Trafficking of HIV-1 Gag and Genomic RNAs Regulates Viral Egress

HIV-1 Gag can assemble and generate virions at the plasma membrane, but it is also present in endosomes where its role remains incompletely characterized. Here, we show that HIV-1 RNAs and Gag are transported on endosomal vesicles positive for TiVamp, a v-SNARE involved in fusion events with the plasma membrane. Inhibition of endosomal traffic did not prevent viral release. However, inhibiting lysosomal degradation induced an accumulation of Gag in endosomes and increased viral production 7-fold, indicating that transport of Gag to lysosomes negatively regulates budding. This also suggested that endosomal Gag-RNA complexes could access retrograde pathways to the cell surface and indeed, depleting cells of TiVamp-reduced viral production. Moreover, inhibition of endosomal transport prevented the accumulation of Gag at sites of cellular contact. HIV-1 Gag could thus generate virions using two pathways, either directly from the plasma membrane or through an endosome-dependent route. Endosomal Gag-RNA complexes may be delivered at specific sites to facilitate cell-to-cell viral transmission.The production of infectious retroviral particles is an ordered process that includes many steps (for review see Refs. 1–3). In particular, three major viral components, Gag, the envelope, and genomic RNAs have to traffic inside the cell to reach their assembly site. Viral biogenesis is driven by the polyprotein Gag, which is able to make viral-like particles when expressed alone (4). Upon release, HIV-1⁴ Gag is processed by the viral protease into matrix (MA(p17)), capsid (CA(p24)), nucleocapsid (NC(p7)), p6, and smaller peptides SP1 and SP2. Gag contains several domains that are essential for viral assembly: a membrane binding domain (M) in MA; a Gag-Gag interaction domain in CA; an assembly domain (I) in NC; and a late domain (L) in p6, which recruits the cellular budding machinery. Genomic RNAs are specifically recognized by NC, and they play fundamental roles in viral biogenesis by acting as a scaffold for Gag multimerization (5).It has been demonstrated that retroviruses bud by hijacking the endosomal machinery that sorts proteins into internal vesicles of multivesicular bodies (for review, see Refs. 6, 7). Indeed, these vesicles bud with the same topology as viral particles. Proteins sorted into this pathway are usually destined for degradation in lysosomes, but some can also recycle to the plasma membrane (for review see Refs. 8, 9). They are also frequently ubiquitinated on their cytoplasmic domain (10, 11), allowing their recognition by ESCRT complexes. ESCRT-0 and ESCRT-I recognize ubiquitinated cargo present at the surface of endosomes and recruit other ESCRT complexes (12–14). ESCRT-III is believed to function directly in the formation of multivesicular body intralumenal vesicles (12), even though its mechanism of action is currently not understood. Remarkably, Gag L domains interact directly with components of the multivesicular body-sorting machinery (for review see Ref. 15). HIV-1 Gag uses a PTAP motif to bind Tsg101, a component of ESCRT-I (16–19), and a YPLTSL motif to interact with Alix, a protein linked to ESCRT-I and -III (20–22). Finally, various ubiquitin ligases are also required directly or indirectly during HIV-1 biogenesis (23, 24; for review see Ref. 25).In many cell lines, Gag is found both at the plasma membrane and in endosomes. This has led to the hypothesis that there are several assembly sites for HIV-1 (1, 3). First, Gag can initiate and complete assembly at the plasma membrane. This is thought to occur predominantly in T lymphocytes, and this process is supported by several lines of evidences: (i) disruption of endosomal trafficking with drugs does not prevent viral production (26, 27); (ii) ESCRT complexes can be recruited at the plasma membrane, at sites where Gag accumulates (28–30); (iii) Gag can be seen multimerizing and budding from the plasma membrane in live cells (31). Second, Gag could initiate assembly in endosomes, and then traffic to the cell surface to be released. This is mainly supported by the presence of Gag in endosomes in several cell lines (32–34), including T cells and more strikingly macrophages (32, 35, 36–39). However, we are currently lacking functional experiments addressing the role of this endosomal pool of Gag, and it is still not clear to what extent it contributes to the production of viral particles. Nevertheless, the presence of Gag in endosomes might facilitate recruitment of ESCRT complexes (34, 40), packaging of viral genomic RNAs (32, 41), and incorporation of the envelope (42). It may also be important for polarized budding (43, 44) and to create a viral reservoir in infected cells (45, 46).Despite great progress, the traffic of HIV-1 components is still not fully elucidated. In particular, the transport of the genomic RNAs is poorly understood. In this study, we have used single molecule techniques to investigate the trafficking of HIV-1 RNAs in fixed and live cells, and we show that they are transported on endosomal vesicles. We also obtained functional evidence that Gag and viral RNAs can use at least two trafficking pathways to produce virions, one going directly from the plasma membrane and another one passing through endosomes.     

Proinsulin and the Genetics of Diabetes Mellitus

Insulin plays a central role in the regulation of vertebrate metabolism. The hormone, the post-translational product of a single-chain precursor, is a globular protein containing two chains, A (21 residues) and B (30 residues). Recent advances in human genetics have identified dominant mutations in the insulin gene causing permanent neonatal-onset DM² (1–4). The mutations are predicted to block folding of the precursor in the ER of pancreatic β-cells. Although expression of the wild-type allele would in other circumstances be sufficient to maintain homeostasis, studies of a corresponding mouse model (5–7) suggest that the misfolded variant perturbs wild-type biosynthesis (8, 9). Impaired β-cell secretion is associated with ER stress, distorted organelle architecture, and cell death (10). These findings have renewed interest in insulin biosynthesis (11–13) and the structural basis of disulfide pairing (14–19). Protein evolution is constrained not only by structure and function but also by susceptibility to toxic misfolding.Insulin plays a central role in the regulation of vertebrate metabolism. The hormone, the post-translational product of a single-chain precursor, is a globular protein containing two chains, A (21 residues) and B (30 residues). Recent advances in human genetics have identified dominant mutations in the insulin gene causing permanent neonatal-onset DM² (1–4). The mutations are predicted to block folding of the precursor in the ER of pancreatic β-cells. Although expression of the wild-type allele would in other circumstances be sufficient to maintain homeostasis, studies of a corresponding mouse model (5–7) suggest that the misfolded variant perturbs wild-type biosynthesis (8, 9). Impaired β-cell secretion is associated with ER stress, distorted organelle architecture, and cell death (10). These findings have renewed interest in insulin biosynthesis (11–13) and the structural basis of disulfide pairing (14–19). Protein evolution is constrained not only by structure and function but also by susceptibility to toxic misfolding.     

The Wavelet-Based Cluster Analysis for Temporal Gene Expression Data

A variety of high-throughput methods have made it possible to generate detailed temporal expression data for a single gene or large numbers of genes. Common methods for analysis of these large data sets can be problematic. One challenge is the comparison of temporal expression data obtained from different growth conditions where the patterns of expression may be shifted in time. We propose the use of wavelet analysis to transform the data obtained under different growth conditions to permit comparison of expression patterns from experiments that have time shifts or delays. We demonstrate this approach using detailed temporal data for a single bacterial gene obtained under 72 different growth conditions. This general strategy can be applied in the analysis of data sets of thousands of genes under different conditions.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29]