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Journal of Virology, January 2009, p. 662-672, Vol. 83, No. 2
0022-538X/09/$08.00+0 doi:10.1128/JVI.01328-08
Copyright © 2009, American Society for Microbiology. All Rights Reserved.

Pushpa Jayaraman,6,
Toshiyuki Miura,5
Florencia Pereyra,5
E. Michael Chester,4
Barbra Richardson,3
Bruce Walker,5 and
Nancy L. Haigwood1,2,6,
*
Departments of Microbiology,1 Pathobiology,2 Biostatistics,3 Medicine, University of Washington, Seattle, Washington 98195,4 Partners AIDS Research Center and Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129,5 Seattle Biomedical Research Institute, Seattle, Washington 981096
Received 25 June 2008/ Accepted 23 October 2008
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NAbs that recognize heterologous isolates to which the subject has never been exposed, called heterologous NAbs (HNAbs), are found later in infection, and not all subjects develop this broadening of the response (5). In studies that utilized easy-to-neutralize laboratory or primary viruses, titers of HNAbs can be high (5, 6, 26, 29). Early work had shown that polyclonal HNAbs in HIV-infected subjects are directed to conserved conformational determinants on gp120 (32), including the CD4-binding site (CD4bs) (22). Several human neutralizing monoclonal antibodies with broad activity also are directed to conserved conformational determinants on Env proteins, such as the CD4bs (4) and V3 (17). However, the mechanisms that lead to the development of broad HNAbs are unknown. Their development likely is dependent upon the specific autologous Env proteins to which the subject is exposed, and these proteins are variants of the original infection in these subjects, except for cases of superinfection. Thus, we reasoned that a detailed analysis of the neutralization of individual autologous variants in subjects with broad responses and viral control could be informative.
The purpose of this study was to examine the autologous neutralizing responses against autologous viral variants in the plasma of HIV-positive subjects that were controlling infection for many years. These subjects have moderate HNAbs against the quasispecies of other subjects (27). We compared longitudinal samples from five chronically infected, antiretroviral treatment-naive adults late in infection. Despite the short time frame between the sample time points, the amount of env variation was surprisingly high, indicating continuous viral evolution in controllers; contemporaneous ANAbs were present and maintained in all except one elite controller. We cloned individual env gp160 plasma variants and analyzed sequence changes related to the autologous neutralization sensitivity or resistance. We systematically examined the ANAb response directed to individual variants using contemporaneous and noncontemporaneous plasma samples and observed patterns that have not been previously reported. Mutations that were significantly associated with sensitivity or resistance to ANAbs were found on parts of the envelope that are exposed and thus may be accessible to antibodies, consistently with a role in escape and containment by NAbs.
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TABLE 1. Subject characteristicsa
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10 to 40) for a subject sample were included to increase the chances of obtaining a positive result. Nested PCR was performed on 5 to 10 µl of cDNA from each replicate RT reaction with Expand Hi-Fidelity Taq DNA polymerase (Roche Diagnostics, Indianapolis, IN). Specific primers matched to the database HxB2 sequence (accession number AF033819) were used. gp160 first-round primers were EO (TAGAGCCCTGGAAGCATCCAGGAAGTCAGCCTA) and EO1 (TCCAGTCCCCCCTTTTCTTTTAAAAA). First- and second-round cycling conditions for gp160 PCR were the following: denaturation at 95°C for 5 min; 10 cycles of 94°C for 40 s, 50°C for 30 s, and 68°C for 3 min 15 s; 25 cycles of 94°C for 40 s, 60°C for 30 s, and 68°C for 3 min 15 s; and a final elongation at 68°C for 10 min. Second-round primers for gp160 amplification were NheI gp160 P3 F, which inserts an NheI site at the 5' end of gp120 to fuse with the t-PA signal in the expression vector pEMC* (GCGGCGGCGGCTAGCGTAGAAAAATTGTGGGTCAC), and P3 gp160 R ClaI, which inserts a ClaI site at the 3' end of gp41 (GCCGCCGCCATCGATTTATAGCAAAGCCCTTTC). Positive controls for the RT step included RNA containing 10 and 100 copies of HIV-1 RNA, and the PCR step included genomic DNA containing 1, 10, and 100 copies of HIV-1 DNA. Negative controls included nuclease-free water and HIV-negative RNA and DNA. PCR products from multiple replicate reactions were purified separately using the Promega Wizard SV gel and PCR clean-up system (Promega Corp., Madison, WI). For elite controllers EC1 and EC2, 16 and 30 ml of patient plasma, respectively, was used to pellet the virus. In brief, the large volume of plasma was spun down for 10 min at 1,500 rpm to remove cell debris. Virus was concentrated by ultracentrifugation at 124,513 relative centrifugal force units for 2 h using an SW32 Ti rotor (Beckman Coulter, Fullerton, CA). Supernatant was removed, leaving 140 µl of the sample, and viral RNA was extracted by a Qiagen viral RNA mini kit according to the manufacturer's instructions (Qiagen Inc., Valencia, CA). In this process, after the column was washed with buffer AW1, DNase treatment was performed on the column using a Qiagen RNase-free DNase set, and then the buffer AW1 wash was repeated. Viral RNA was eluted in 80 µl of DNase-RNase-free water and stored at –80°C until use.
First-round RT-PCR was performed using a Superscript III one-step RT-PCR system with Hi-Fidelity platinum Taq DNA polymerase (Invitrogen, Carlsbad, CA). The reaction mixture (50 µl) was composed of 10 µl of RNA, 25 µl of 2x reaction mix, 400 nM of forward primer FB6 (GCATTCCCTACAATCCCCAAAG, 4645 to 4666; numbered with respect to the reference strain HXB2 sequence in the Los Alamos HIV database) and reverse primer FB12 (GCACTCAAGGCCAAGCTTTATTGAGGC, 9629 to 9603), 1 µl of enzyme mix, and water. RT-PCR cycling conditions were 1 cycle of 30 min at 55°C and 2 min at 94°C; 40 cycles of 15 s at 94°C, 30 s at 60°C, and 5 min at 68°C; and a final elongation at 68°C for 5 min. Second-round primers and cycling conditions were the same as those described above for the viremic controllers.
Inserts (2.5 kb gp160) were cloned into an expression vector, pEMC*, following double restriction digestion with NheI and ClaI and ligation with a Roche rapid DNA ligation kit (Roche Diagnostics, Indianapolis, IN). MAX Efficiency Stbl2-competent cells (Invitrogen) were transformed with 10 to 20 ng of the ligation reaction mixture according to the manufacturer's instructions and grown at 30°C for 24 h. We obtained 5 to 10 functional pseudoviruses by screening 100 to 200 transformants on average. Transformants were plasmid purified with the Qiagen miniprep kit as previously described (18). 293T cells were transfected with 1 mg/ml of polyethylenimine (PEI; Polysciences, Inc., Warrington, PA). 293T cells (4 x 105 per well) were plated to 50% confluence in 6-well plates 24 h prior to the transfection; 1 µg total DNA with a 20:1 backbone/Env ratio was prepared with 10.5 µg PEI in a Dulbecco's modified Eagle's medium (DMEM) mixture. Virus was harvested 48 to 72 h later, spun at 2,000 rpm for 10 min, and stored at –80°C until use. The titers of the pseudoviruses were determined on TZM-bl cells (37), which were provided by N. Landau via the NIH AIDS Reagent Repository, to obtain 200 50% tissue culture infectious doses.
Neutralization assay.
Only envelopes that were positive for virus infection in the in vitro virus entry TZM assay were sequenced and used in the neutralization assay. Briefly, 200 50% tissue culture infectious doses of virus were added to twofold serial dilutions of sera in the presence of 7.5 µg/ml DEAE-dextran for 1 h at 37°C. Each well received 100 µl of TZM-bl cells resuspended in DMEM containing 10% fetal calf serum, 1% L-glutamine, 1% penicillin, 1% streptomycin at 1 x 105 cells/ml. Forty-eight hours later, cells were lysed for 2 min directly in the neutralization plate using 100 µl of Bright-Glo luciferase assay substrate (Promega, Madison, WI) and immediately analyzed for luciferase activity on a luminometer. The reciprocal dilution of serum necessary to achieve 50% neutralization is reported. Neutralization values greater than three times the background neutralization value for a negative control human serum (Sigma, St. Louis, MO) were considered significant. The lowest dilution of the negative control human serum tested (1:50) never reached 50% neutralization; therefore, titers
60 were considered positive for neutralization. Positive controls included pooled human sera or purified immunoglobulin G from HIV-1-infected subjects previously described as having broad NAb responses against clade B isolates (J. Mascola and D. Montefiori, unpublished data). All values were calculated with respect to virus only using the following formula: [(value for virus only – value cells only) – (value for serum – value cells only)]/(value for virus only minus value for cells only). Assays for heterologous neutralization were performed as described above against 10 HIV-1 clade B-pseudotyped virus isolates from the recommended panel (21). The heterologous panel viruses used are listed below for the maximum-likelihood tree.
Sequence analyses.
The 5 to 10 functional env genes used in the pseudovirus construction and neutralization assays were sequenced in both directions using vector primers pEMCF2 (GTGTGCTGCTGCTGTGTGG) and pEMCR2 (GATCATTACTTATCTAGGTCGACTG) and env primers ED5P3mod (ATGGGATCAAAGTCTAGAGCCATGTG), KK1 (GCACAGTACAATGTACACATGGAA), 218 (ATCATTACACTTTAGAATCGC), ED3 (TTACAGTAGAAAAATTCCCC), ED8FOR (TGAGGGACAATTGGAGAAGTG), and ED12FOR (CTTGGGTTCTTGGGAGCAGCAGGAAGCACT) (11) using Prism dye terminator kits (ABI, Foster City, CA) on an Applied Biosystems 3730XL genetic analyzer. Plasma viral env nucleotide sequences were edited and assembled with Sequencher4.5 (Gene Codes Corporation, Ann Arbor, MI) and aligned using CLUSTALX (8, 35). Consensus B (ConB) (consensus and ancestral alignments tool; Los Alamos HIV sequence database; www.hiv.lanl.gov) (16) and HxB2 (accession number AF033819) were used as reference strains for sequence analyses. Percent diversity and sequence heterogeneity at a particular time point in a sample from a subject were calculated using MEGA3.0 (20) using the Kimura two-parameter model with pairwise deletions (transition-to-transversion ratio [
] of 2). The divergence of each clone sequence from that of ConB was measured with MEGA3.0 using the Kimura two-parameter model with pairwise deletions (
= 2). The average percent diversity per subject was calculated by averaging the percent diversity of sequences at each time point.
Maximum-likelihood analyses.
Codon-aligned nucleotide sequences trimmed in length to the same starting and ending nucleotides were analyzed by maximum likelihood using PAUP*4.0 (D. L. Swofford, Sinauer Associates, Inc., Sunderland, MA) (34). Trees were rooted on the ConB sequence. Maximum-likelihood trees (
= 2) were created using the HKY85 model with a subtree-pruning regrafting branch-swapping algorithm. The starting tree was obtained by neighbor joining, and the starting branch lengths were obtained using the Rogers-Swofford approximation method. HXB2 (accession number AF033819) and clade B sequences belonging to the standard reference panel for testing neutralization (QH0692, PVO, TRO, AC10.0, WITO, REJO, RHPA, THRO, CAAN, and SC422661; accession numbers AY835439, AY835444, AY835445, AY835446, AY835451, AY835449, AY835447, AY835448, AY835452, and AY835441, respectively) were included as reference strains on the phylogenetic tree. Outlier sequences included clade C TV001c8.5 and TV001c8.2, accession numbers AF391231 and AF391230, respectively, clade D FIN93167 and FIN93178, accession numbers AF219271.1 and AF219272.1, respectively, and clade G NG1939 and NG1937, accession numbers AF069935.1 and AF069937.1, respectively.
Analysis of glycosylation and amino acid mutation. AminoTrack was used to identify potential N-linked glycosylation (PNG) sites and differences in amino acid identity within each Env sequence. Protein sequences were obtained (Sequencher4.5) and aligned (CLUSTALX) using HIV-HXB2 (accession no. K03455) for reference to standardized amino acid position numbering. This web-based software (http://apps.sbri.org/AminoTrack/) (23) provides multiple spreadsheet outputs that denote the amino acids altered between each sequence in a protein alignment and positions at which a PNG site is present. Sequences motifs of NxS/Tx, where x is any amino acid except for proline, are recognized by the program as a PNG site. PNG site positions were noted, and the number of PNG sites per autologous virus variant were tallied. These spreadsheets were imported into the statistics program SPSS (SPSS Inc., Chicago, IL) for the statistical analysis of significant amino acid and PNG site differences correlated with the neutralization sensitivity of an Env sequence.
Statistical analyses. Statistical analyses were performed using GraphPad Prism 3.0, SPSS, R, and QVALUE software packages. The nonparametric Mann-Whitney U test was used to compare the continuous outcomes of two groups. Nonparametric two-tailed Spearman correlation coefficients were used to estimate correlation coefficients. A conservative false discovery rate of 0.013 was used to determine which mutations conferring changes to PNG sites and amino acids were significantly associated with susceptibility or resistance to ANAb (33).
Structural mapping of Env mutations and PNG sites. The amino acid and PNG positions correlated with Env resistance or susceptibility to autologous neutralization were mapped onto the three-dimensional HIV-1 gp120 monomer. The Env structure previously was generated by modeling the V1, V2, and V3 loops onto the YU2 core X-ray structure (Protein Database code 1RZK) as described in detail by Blay et al. (1). In the present analysis, PyMOL (PyMOL Molecular Graphics System, v0.99; DeLano Scientific, Palo Alto, CA) was used to show the locations of the amino acids and PNG sites in the structure.
Nucleotide sequence accession numbers. Nucleotide sequences were deposited in GenBank under accession numbers FJ147091 to FJ147150.
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TABLE 2. Assessment of heterologous neutralization
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FIG. 1. Phylogenetic analyses of full-length functional env sequences in viremic controllers (VC1, VC2, and VC3) and elite controllers (EC1 and EC2). The maximum-likelihood tree is rooted on the clade B consensus gp160 (ConB) from the Los Alamos HIV sequence database. Also included on the phylogenetic tree are HxB2, representative sequences from clades C, D, and G as outlier sequences, and 10 gp160 sequences of the clade B panel used in the heterologous neutralization assays. Accession numbers for these sequences are listed in Materials and Methods. The susceptibility of patient Env to autologous neutralization is illustrated in color (red, neutralization resistant to ANAb, with titers of <60; green, sensitive to ANAb, with titers ranging between 60 and 700; and blue, highly sensitive Env proteins, with ANAb titers of >700). Individual sequences are named for the time point (T1, T2, and T3) and clone number (c1, c2, etc.).
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TABLE 3. Autologous neutralization
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Similarly to the viremic controllers, elite controller EC1 had variable ANAb responses against Env variants of diverse sequences, with half of the variants resistant and half moderately sensitive to ANAb (Table 3). In contrast, all EC2 variants had identically resistant ANAb titers (Table 3), which represents a lack of autologous responses. The sequences show little variation and have the lowest overall diversity among all subject sequences (Fig. 1).
NAb responses typically are low in subjects with tightly controlled viremia, most likely due to low antigenic thresholds resulting in minimal env evolution from the prolonged control of virus replication. This is consistent with the observation that env sequences that form an intrasubject phylogenetic cluster are similarly neutralized by ANAb. In comparing the various subjects there was a range of diversity, with subject VC2 exhibiting the highest diversity at 1.5% and EC2 the lowest at 0.2%. Subjects with greater env diversity had a greater range of ANAb titers against the variants (Fig. 1, Table 3). For example, within a single time point the variation in 50% ANAb titers among clones ranged from 80 to 1,600 or 330 to more than 3,200 in VC1 T2 variants c1 and c2. Similar ranges of variation were observed in VC3, VC2, and EC1 variants. EC2 showed the least diversity and no variability between ANAb titers.
Both ANAb and HNAb data in this study were obtained using pseudoviruses generated by the same methods and tested in the same cell line reporter assay, thus allowing us to compare the relative strength of these two types of responses. The magnitude of ANAb responses in all subjects combined (Table 3) was greater than the magnitude of their heterologous responses (Table 2) against the clade B panel of pseudoviruses (P = 0.0002). We asked whether there was a relationship between plasma virus load as a measure of virus replication and the overall level of ANAb titers. ANAb titers were significantly greater in viremic subjects than in elite controllers (P < 0.0001). The subjects with breakthrough viremia, VC1 and VC3, have the highest levels of ANAb responses against their variants, followed by VC2, which was viremic without having breakthrough viremia, and elite controllers EC1 and EC2, with <50 copies/ml. Numerical titers did not correlate with virus load, as VC2 plasma neutralized some autologous variants with titers as high as those observed in VC1 and VC3 plasma at the times of sampling. In this subject set, we observed a strong positive correlation between plasma virus load (in copies per milliliter) and the level of autologous neutralization (Table 1, Fig. 2). Virus load was associated with the percentage of variants neutralized at all time points (P = 0.0167; rho = 0.9747) and the percentage of positive titers (i.e., those that are above the cutoff) for ANAb (P = 0.0167, rho = 1.0).
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FIG. 2. ANAb responses in viremic patients (VC1, VC2, and VC3) and elite controllers (EC1 and EC2). The relationship between plasma virus load and the level of autologous NAb responses was determined. The 50% inhibitory neutralization titers of each plasma sample against each variant from viremic and elite controllers were analyzed (using the two-tailed Mann-Whitney U test and 95% confidence intervals).
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TABLE 4. Mutations that modulate neutralization phenotype according to glycan positions
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TABLE 5. Mutations that modulate neutralization phenotype according to point mutations
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FIG. 3. Env residues correlated with susceptibility to ANAb. A structural view of HIV-1 gp120 is shown with the specific position numbers of amino acids and PNG sites correlated with ANAb-resistant Env proteins (left) and ANAb-sensitive Env proteins (right). Residues correlated with resistance are shown in red; residues correlated with sensitivity to ANAb are in green. Amino acid point substitutions are in brighter shades of color, and PNG sites are in darker shades of color. The variable loops are labeled and shown in blue. The core of gp120 is in gray, with the CD4bs in brown. The structure is oriented such that this is the top of gp120, with gp41 (not shown) perpendicular to and intersecting straight into the plane of the image. Additional residues not depicted in this structure but found to be correlated with Env neutralization by ANAb are in C1 and gp41 (Table 4).
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2 helix and V5; mutations at position 350 (
2 helix C-terminal end) and position 460 in V5 correlated with ANAb sensitivity, whereas mutations at position 340 (
2 helix N-terminal end) were correlated with resistance. Additional differences between sensitive and resistant phenotypes not resolved on the crystal structure and, thus, missing from the model include positions in C1 and gp41. Additionally, there were residues in V1/V2, C2, and gp41 that contained amino acid substitutions and/or PNG locations that correlated with both sensitive and resistant Env variants. Several positions were implicated in affecting the level of NAb sensitivity by multiple mutational mechanisms, sometimes demonstrating conflicting outcomes from the same location. For example, amino acid changes in positions 234 to 236 in C2 correlated with a sensitive phenotype. This sensitivity was associated with the presence of a PNG at 234 in one case and the absence of the same PNG via the presence of T236K in another case. In direct contrast, the removal of the same PNG at 234 by either mutation N234D or N234K correlated with a resistant phenotype. An intact PNG at 295 was found in sensitive Env variants; the removal of the same PNG by mutation N295E or T297I was correlated with resistance to ANAb. Additional positions with multiple mutations that correlated with resistance occurred at position 49, with a T-to-N (PNG addition) or T-to-D mutation, and position 142, with an S-to-N (PNG addition) or S-to-T mutation.
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Our goal in this study was to gain insight into the ANAb response in HIV controllers with significant HNAbs and to examine the changes to the autologous Env proteins. We hoped that this work would augment the earlier studies of the longitudinal development of ANAbs and HNAbs (10, 22). To our knowledge, the approaches taken in this study have enabled us to examine for the first time the changing character of ANAbs against autologous variants in a cohort of long-term, drug-naïve, chronically infected HIV controllers. Similarly to studies of chronically infected mothers (39), both sensitive and resistant Env variants are present in the quasispecies. The results presented in this study show that neutralization is a complex and dynamic process, with varied responses to individual Env proteins.
It is not surprising that the viremic subjects in our study continued to maintain and generate strong ANAb responses against certain related variants, since all of the subjects are asymptomatic, with preserved CD4+ T-cell responses being critical for maintaining the HIV-1-specific B-cell response (24, 27). Published studies of ANAbs against the viral quasispecies as a whole early in infection show low levels of contemporaneous neutralization, with increasing titers in later months and years (29). In contrast, we observed that neutralization activity against individual contemporaneous viral variants isolated after many years of infection was present at the matched time point, and these variants frequently were not better neutralized by samples of plasma from later time points. The ANAb response directed to individual variants shows that high levels of antibodies can persist over time against many variants. If maintained long term, Env variant-specific ANAbs would require continuous B-cell stimulation by antigen. Cloned variants were unique, and those from different time points clustered independently, suggesting that the sensitive variants are reduced or eliminated from the plasma and that novel changes confer escape upon these Env variants. It is likely that the polyclonal response to these eliminated variants persists due to NAbs directed to determinants such as the CD4bs. At the latest time point, some subjects had predominantly escape variants that were resistant to autologous neutralization. In addition, appreciable increases in titer were detected against some variants, supporting the ability of the autologous response to limit certain Env variant populations. Thus, the phylogenetic and ANAb data taken together indicate that viral env evolution persists, allowing the escape and development of resistance to ANAbs, but other Env sequences continue to remain sensitive to NAbs and do not develop resistance in chronically infected viremic and elite controllers.
Controllers in this study, despite having low or undetectable levels of virus in plasma, have continuous changes in the viral Env sequences over relatively short periods of time. As the result of this dynamic viral evolution, they also have changing ANAb titers. The positive correlation between plasma HIV RNA levels and ANAb titers in controllers suggests an active process that differs in the rate of change per subject. This observation was seen in subjects chronically infected with nef-attenuated HIV-1 (36). Increased virus replication may provide the antigenic stimulation necessary to maintain and induce changes in the ANAb response through the maturation of the humoral response due to continuous low-level replication and the resulting heterogeneity of the viral variants (9, 12). The level of broadening in the subjects did not correlate with plasma viremia, percent diversity, or the length of infection (from the time of diagnosis) in our study. This likely is due to the cross-sectional nature of the subject samples analyzed for breadth, making it difficult to determine parameters affecting HNAbs, including the time of first detection. Evidence for weak but broad NAb responses in the elite controllers may be indicative of positive ANAb titers at other times in infection that were not analyzed. The greater degree of diversity and breadth in EC1 suggests that the autologous response is even more diverse and vigorous at other time points. Additionally, the earlier priming of B cells and other antibody-secreting cells by the transient low-level viral replication of resistant strains may drive continued antibody responses to later related strains, as documented for other chronic viruses (19, 25). We identified more than 30 unique env residues correlated with sensitivity or resistance to ANAb in chronic infection. This was a purely sequence-based analysis of functional Env proteins from five subjects at several time points and required further experimentation to establish the importance of each residue in the context of Env conformation and structure. Nonetheless, the sequence analysis identifies specific amino acids that may be under selective pressure from NAbs and points to the regions of Env that impact sensitivity to ANAbs, thereby providing the framework for NAb-based vaccine approaches.
Having strong contemporaneous ANAb responses directed against autologous Env variants suggests a role for these responses in contributing to the durable control of HIV replication, as has been suggested by studies of early versus chronic infection (10). Viral evolution and the subsequent production of ANAb clearly continues in long-term chronic infection, consistently with the viral genetic diversity seen in these persons (13), and is an indication that NAbs are partially responsible for driving this variation. The presence of a dynamic autologous response, indicated by alterations in neutralization of a variant over time, was accompanied by changes in the heterologous response to particular virus isolates over time. Although the overall level of the neutralization of the number of heterologous viruses neutralized did not change appreciably, the HNAb titers changed as the ANAb response evolved in response to altered autologous Env variants presented to the humoral system. The broadening of the response therefore may be viewed as a by-product of the individual's own autologous response generated against the milieu of autologous Env conformations, which in turn is a dynamic response, not simply an additive effect. However, the development of HNAbs, while commonly found in viremic subjects, is neither inevitable nor predictable. Understanding the mechanism of HNAb development remains a key objective for vaccine design.
The work was supported by PHS grant NIH-P01-AI054564, the Immunology Core of the Center for AIDS and STD at the University of Washington (P30 AI27757), and generous gifts from the James B. Pendleton Charitable Trust and the Murdock Charitable Trust.
Published ahead of print on 5 November 2008. ![]()
Present address: Department of Biomedical Engineering, Boston University, Boston, MA 02115. ![]()
Present address: Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115. ![]()
Present address: Oregon National Primate Research Center, OHSU, Beaverton, OR 97006. ![]()
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