The high mannose patch (HMP) of the HIV envelope protein (Env) is the structure most frequently targeted by broadly neutralizing antibodies; therefore, many researchers have attempted to use mimics of this region as a vaccine immunogen. In our previous efforts, vaccinating rabbits with evolved HMP mimic glycopeptides containing Man9 resulted in an overall antibody response targeting the glycan core and linker rather than the full glycan or Manα1→2Man tips of Man9 glycans. A possible reason could be processing of our immunogen by host serum mannosidases. We sought to test whether more prolonged dosing could increase the antibody response to intact glycans, possibly by increasing the availability of intact Man9 to germinal centers. Here, we describe a study investigating the impact of immunization regimen on antibody response by testing immunogen delivery through bolus, an exponential series of mini doses, or a continuously infusing mini-osmotic pump. Our results indicate that, with our glycopeptide immunogens, standard bolus immunization elicited the strongest HIV Env-binding antibody response, even though higher overall titers to the glycopeptide were elicited by the exponential and pump regimens. Antibody selectivity for intact glycan was, if anything, slightly better in the bolus-immunized animals.
The high mannose patch (HMP) of the HIV envelope protein (Env) is the structure most frequently targeted by broadly neutralizing antibodies; therefore, many researchers have attempted to use mimics of this region as a vaccine immunogen. In our previous efforts, vaccinating rabbits with evolved HMP mimic glycopeptides containing Man9 resulted in an overall antibody response targeting the glycan core and linker rather than the full glycan or Manα1→2Man tips of Man9glycans. A possible reason could be processing of our immunogen by host serum mannosidases. We sought to test whether more prolonged dosing could increase the antibody response to intact glycans, possibly by increasing the availability of intact Man9 to germinal centers. Here, we describe a study investigating the impact of immunization regimen on antibody response by testing immunogen delivery through bolus, an exponential series of mini doses, or a continuously infusing mini-osmotic pump. Our results indicate that, with our glycopeptide immunogens, standard bolus immunization elicited the strongest HIV Env-binding antibody response, even though higher overall titers to the glycopeptide were elicited by the exponential and pump regimens. Antibody selectivity for intact glycan was, if anything, slightly better in the bolus-immunized animals.
After decades of research, very
little HIV vaccine efficacy has been observed in clinical trials.[1−3] The challenges of HIV vaccine design include (1) the high mutation
rate of HIV, which leads to vast phylogenetic and antigenic diversity,
(2) the metastable nature of the HIV envelope protein (Env), a trimer
of gp41/gp120 heterodimers that can adopt several functional conformational
states, (3) the fact that gp120 can be shed from Env on the viral
surface, (4) the low immunogenicity of the most conserved structural
features on Env, leading to preferential formation of antibodies against
strain-specific epitopes, and (5) the shielding of many conserved
epitopes by the dense array of ∼70–80 N-glycans on the
Env trimer. Most early generation HIV vaccine approaches utilizing
recombinant protein or vectors encoding Env subunits (e.g., monomeric
gp120) have elicited antibodies that bind misfolded Env or strain-specific
Env structures and do not neutralize a broad range of viral strains.[1] However, stable native-like Env trimers (SOSIP
trimers) have been engineered that are correctly folded and elicit
neutralizing antibodies to the strain used in the immunogen.[4−8]Despite these challenges, continued optimism for design of
a protective
vaccine stems from the fact that broadly neutralizing antibodies (bnAbs)
naturally arise in a surprisingly high fraction of infected individuals
(∼20%).[9] Although bnAbs typically
arise too late after infection (usually >2 years) and viral diversification
to be protective in the infected individual, several monoclonal bnAbs
have been shown to confer protection if administered prior to encounter
with virus.[10−15] Hundreds of bnAb clones have now been isolated from patient cohorts,
and their neutralizing breadth and binding epitopes have been characterized.[16−18] These antibodies have stimulated vaccine design efforts because
they are proof that an immunological solution exists to broad cross-reactivity
with HIV Env; more specifically, structural studies of bnAbs in complex
with Env have revealed which conserved motifs on Env are targeted
in bnAb responses.[19,20]The Env region most commonly
targeted[21] by bnAbs (∼40%) is the
high-mannose patch (HMP, Figure a), a region of gp120
containing a dense array of N-linked glycosylation sites (N332, N339,
N392, N295, N262, N448, N363) largely populated by Man9/8GlcNAc2glycans.[22] bnAbs targeting
this region bind to combinations of these glycans and conserved polypeptide
residues (e.g., PGT121- and PGT128bnAb families)[23−25] or exclusively
to glycans (e.g., bnAb 2G12).[26,27] In all cases, these
bnAb epitopes contain multiple glycans; thus, carbohydrate chemists
have been very interested in the design and synthesis of carbohydrate
clusters to mimic these epitopes.[28−46] In these epitope-focused vaccine strategies, it is reasoned that
a glycopeptide or carbohydrate mimic of the HMP might elicit antibodies
that bind the HMP and are broadly neutralizing (Figure a).
Figure 1
Glycopeptide mimics of HIV epitopes and the
glycan trimming hypothesis.
(a) The high-mannose patch (HMP) on HIV’s gp120 protein is
a target of broadly neutralizing antibodies (bnAbs), and glycopeptides
that mimic the HMP are attractive vaccine candidates. (b) Our method
for in vitro selection of glycopeptides that mimic
the HMP. (c) Antibodies elicited by glycopeptide HMP mimics have so
far preferentially targeted the glycan core rather than the Manα1→2Man
“tips” targeted by many bnAbs. (d) Immunization kinetics
may influence glycan microspecificity: in bolus immunization, serum
mannosidase trimming likely truncates most glycans before the bulk
of affinity maturation; we hypothesize that, by contrast, continuous
or repetitive immunization will provide fresh intact Man9 glycan, against which Manα1→2Man-specific antibodies
could develop in germinal centers that were originally established
by intact Man9 earlier in the immunization.
Glycopeptide mimics of HIV epitopes and the
glycan trimming hypothesis.
(a) The high-mannose patch (HMP) on HIV’s gp120 protein is
a target of broadly neutralizing antibodies (bnAbs), and glycopeptides
that mimic the HMP are attractive vaccine candidates. (b) Our method
for in vitro selection of glycopeptides that mimic
the HMP. (c) Antibodies elicited by glycopeptide HMP mimics have so
far preferentially targeted the glycan core rather than the Manα1→2Man
“tips” targeted by many bnAbs. (d) Immunization kinetics
may influence glycan microspecificity: in bolus immunization, serum
mannosidase trimming likely truncates most glycans before the bulk
of affinity maturation; we hypothesize that, by contrast, continuous
or repetitive immunization will provide fresh intact Man9glycan, against which Manα1→2Man-specific antibodies
could develop in germinal centers that were originally established
by intact Man9 earlier in the immunization.In our attempts to mimic the HMP, we have developed directed
evolution
methods that enable us to select multivalent Man9 clusters
that bind bnAb 2G12 from extraordinarily diverse libraries of up to
1013 glycopeptides[40,47] or glycoDNAs.[41−43,48] Antibody 2G12 binds our evolved
glycopeptides with nanomolar to subnanomolar affinity, at least as
tightly as it binds to gp120, and in a glycan-dependent manner (Figure b). As conjugates
to CRM197 carrier protein, our glycopeptides exhibited strong immunogenicity,
eliciting robust binding titers (ELISA EC50 ≈ 20 000)
against autologous glycopeptide.[38] Encouragingly,
two of these glycopeptide immunogens (g10F6 and g10F2) elicited detectable
HIV binding or neutralizing antibodies; however, the anti-HIV titers
were very weak, suggesting modest binding to gp120 or its high-mannoseglycans. Glycan microspecificity studies indicated that the glycan-dependent
antibodies were primarily directed at two core mannose residues of
the glycan, and its hydrophobic linker, rather than the Manα1→2Man
tips (Figure c). Mass
spectrometric studies then showed that incubation of immunogen in
serum readily trims mannose residues from the glycans, suggesting
that mannosidase activity[49−52]in vivo may interfere with development
of antibodies against these structures.Serum mannosidase trimming
of glycopeptides could also influence
the specificity of the antibody response, depending on the relative
kinetics of vaccination and immunogen degradation. In natural HIV
infection, high-mannose-binding bnAbs arise after months of affinity
maturation in the presence of continuously produced viral glycoprotein.[53] By contrast, immunizations are traditionally
administered in several bolus doses spaced weeks apart. As we have
shown that glycans of relatively dense glycopeptides can be trimmed
by serum mannosidase on a time scale of days, germinal center formation
and affinity maturation likely occurs primarily in the presence of
truncated glycans (Figure d). Thus, one might ask, could the glycan microspecificity
of vaccine-elicited antibodies be modulated by altering the kinetics
of the vaccine dose, with prolonged administration of intact immunogen?
In fact, for the antibody response to HIV Env protein, it has been
shown that sustained delivery of antigen not only increases the overall
antibody titer but also improves selectivity for intact versus misfolded
or degraded HIV Env.[54]
Results
To test the effect of antigen delivery kinetics on the anti-glycan
response, we conducted rabbit immunizations with our g10F6 glycopeptide
conjugated to CRM197 carrier protein,[38−40] administered in three
different regimens (Figure ). In the control group, a standard bolus dose was tested
at 4-week intervals. In the second group, we tested an exponentially
increasing series of minidoses, designed to mimic the kinetics of
antigen produced by a replicating pathogen, as recently described.[54] In the third group, we tested a continuous two-week
infusion of half the glycopeptide conjugate via a subcutaneous mini-osmotic
pump, followed by the second half of the dose as a bolus at the end
of the 2 weeks.[54−57] Each type of immunization regimen was repeated at t = 4 and 8 weeks, and all groups of animals received the same total
dose of conjugate containing 50 μg of glycopeptide, together
with 50 μg of QS-21 saponin/cholesterol liposomes (SI Figure S3). For this study, g10F6 glycopeptide
was conjugated to CRM197 through cysteine–bromoacetamide substitution
rather than the cysteine–maleimide addition used in our previous
immunogenicity studies,[38] as we found that
our original cysteine–maleimide conjugates shed glycopeptide
upon storage at 4 °C in water after 1 week (Figure a and SI Figure S4). The reversibility of the cysteine–maleimide
linkage is well-known,[58−61] but we found it to be especially evident in the case of our bulky
(∼12.5 kDa) glycopeptides conjugated to CRM197. Although this
shedding could be prevented by storage of the conjugates in lyophilized
form, the use of a nonreversible linkage would rule out shedding after
redissolution. The use of potentially labile maleimide conjugates
was out of the question for this study because the conjugates would
be held at body temperature in the osmotic pump reservoir for 2 weeks
in one of our rabbit groups. The cysteine–bromoacetamide CRM197
conjugations proceeded with good efficiency (median loading of 5),
and the resulting thioether linkages lack the capacity for a reverse
reaction to shed glycopeptidethiol (Figure b and SI Figures S1 and S2).[62,63]
Figure 2
Standard vs sustained immunization regimens.
Groups of six rabbits
were immunized with the g10F6–CRM197 conjugate by three different
regimens. In addition to the group that received standard bolus immunizations,
one group (“exponential”) received seven exponentially
increasing small doses over 2 weeks, and another group (“pump”)
received half of the dose continuously over 2 weeks by mini-osmotic
pump, followed by the second half dose at the end of the 2 weeks.
All groups received the same total 50 μg of antigen, and the
cycle of immunization was repeated at four-week intervals for all
groups. Blood was collected 1 week after the conclusion of each immunization
cycle.
Figure 3
Shedding of glycopeptides from maleimide conjugates
versus stability
of thioether conjugates.
Standard vs sustained immunization regimens.
Groups of six rabbits
were immunized with the g10F6–CRM197 conjugate by three different
regimens. In addition to the group that received standard bolus immunizations,
one group (“exponential”) received seven exponentially
increasing small doses over 2 weeks, and another group (“pump”)
received half of the dose continuously over 2 weeks by mini-osmotic
pump, followed by the second half dose at the end of the 2 weeks.
All groups received the same total 50 μg of antigen, and the
cycle of immunization was repeated at four-week intervals for all
groups. Blood was collected 1 week after the conclusion of each immunization
cycle.Shedding of glycopeptides from maleimide conjugates
versus stability
of thioether conjugates.Rabbit polyclonal sera
were collected 1 week after each immunization
and assayed by ELISA to assess IgG binding to test antigens. Consistent
with prior studies of sustained immunization that used SOSIP trimeric
HIV gp140 Env proteins,[54−57] we observed the strongest antibody binding titers
against glycopeptide using the most sustained delivery method, with
ELISA EC50 titers for glycopeptide–BSA increasing
in the order of bolus < exponential < pump (Figure a). Differences were greatest
after the first dose, with the bolus group partially catching up to
the other two groups by the postdose 3 titer measurement (Figure b). For all groups,
the IgG titers to glycopeptide–BSA were higher than to either
peptide–BSA or CRM carrier (Figure ), consistent with our previous studies.[38] Although significant titers to CRM carrier were
observed, measurement of glycopeptide-binding antibodies with glycopeptide–BSA
ensured that carrier-independent antibodies were detected. Moreover,
our previous studies had shown that antibodies elicited by CRM alone
did not cross-react to either glycopeptides or HIV Env.[38]
Figure 4
Dependence of g10F6-binding antibodies on immunization
regimen.
(a) ELISA IgG EC50 titers for rabbit serum binding to g10F6–BSA
after three cycles of immunization with g10F6–CRM. Geometric
means and standard deviations are shown. Numbers displayed above data
are p-values determined by one-way ANOVA followed
by Tukey’s post hoc test for multiple comparisons, using log-transformed
data; ns denotes p > 0.1. (b) Titers as in panle
a but plotted versus dose. All data except the prebleed are for sera
collected 1 week after the dose: * denotes p <
0.05, ** denotes p < 0.01, *** denotes p < 0.001, **** denotes p < 0.0001.
The dotted line indicates the lowest serum dilution tested in the
ELISA.
Figure 5
Rabbit serum binding to glycopeptide versus
peptide versus carrier.
ELISA IgG EC50 titers are shown for postdose 3 sera. Glycopeptide
g10F6 and peptide 10F6 are both conjugated to BSA in the coating antigen.
CRM197 used as coating antigen is functionalized with the linker for
conjugation. Numbers displayed above data are p-values
determined by one-way ANOVA followed by Tukey’s post hoc test
for multiple comparisons, using log-transformed data.
Dependence of g10F6-binding antibodies on immunization
regimen.
(a) ELISA IgG EC50 titers for rabbit serum binding to g10F6–BSA
after three cycles of immunization with g10F6–CRM. Geometric
means and standard deviations are shown. Numbers displayed above data
are p-values determined by one-way ANOVA followed
by Tukey’s post hoc test for multiple comparisons, using log-transformed
data; ns denotes p > 0.1. (b) Titers as in panle
a but plotted versus dose. All data except the prebleed are for sera
collected 1 week after the dose: * denotes p <
0.05, ** denotes p < 0.01, *** denotes p < 0.001, **** denotes p < 0.0001.
The dotted line indicates the lowest serum dilution tested in the
ELISA.Rabbit serum binding to glycopeptide versus
peptide versus carrier.
ELISA IgG EC50 titers are shown for postdose 3 sera. Glycopeptide
g10F6 and peptide 10F6 are both conjugated to BSA in the coating antigen.
CRM197 used as coating antigen is functionalized with the linker for
conjugation. Numbers displayed above data are p-values
determined by one-way ANOVA followed by Tukey’s post hoc test
for multiple comparisons, using log-transformed data.We then investigated the ability of the antisera to bind
to native-like
trimeric HIV Env (BG505T332N SOSIP.664 gp140 trimers).[4] Bolus group sera showed the most binding to HIV Env, with
three animals out of six exhibiting EC50 titers substantially
above preimmunization baseline levels (Figure ). Exponential group sera showed somewhat
less Env binding, and pump group sera exhibited negligible binding
above preimmunization baseline. TZM-bl neutralization assays using
an HIV strain sensitive to HMP-directed antibodies showed just one
serum from group 1 animals was weakly neutralizing (SI Table S2). Although elicitation of even weak HIV binding
or neutralizing sera without using HIV Env immunogens is encouraging,
the greater HIV binding activity among bolus-immunized animals is
surprising, as it is the reverse of the trend seen in overall titers
to the glycopeptide (cf. Figure a); moreover, we had hypothesized that sustained immunization
regimens would lead to more antibodies against the intact glycan structures
present in the HMP of Env, compared with bolus immunization.
Figure 6
Postdose 3
serum binding to trimeric HIV Env. Data are ELISA for
rabbit IgG binding to plates coated with 200 ng/well BG505T332N SOSIP
trimers. Solid lines are postdose 3 data, and dotted lines are prebleed
data. One animal in Group 3 exhibited a high ELISA absorbance in the
preimmunization bleed, at the highest serum concentration (right graph,
black dotted line). Because that animal showed no SOSIP binding after
glycopeptide immunizations (right graph, black solid line), the prebleed
was not investigated further.
Postdose 3
serum binding to trimeric HIV Env. Data are ELISA for
rabbit IgG binding to plates coated with 200 ng/well BG505T332N SOSIP
trimers. Solid lines are postdose 3 data, and dotted lines are prebleed
data. One animal in Group 3 exhibited a high ELISA absorbance in the
preimmunization bleed, at the highest serum concentration (right graph,
black dotted line). Because that animal showed no SOSIP binding after
glycopeptide immunizations (right graph, black solid line), the prebleed
was not investigated further.To examine glycan specificity in more detail, we assayed the sera
by ELISA against a panel of truncated or altered glycans clustered
on a different peptide, 10F12M (Figure a–c and SI Figure S6).[38] An antibody response that targets
primarily Manα1→2Man tips of the Man9 structure
should bind more strongly in ELISA to Man9-Cy (Cy = cyclohexyl)
than to Man2(1→3)-Cy conjugates, which are truncated
to remove Manα1→2Man linkages. As observed in our previous
immunizations with g10F6 conjugate, within each rabbit group, sera
bound similarly to Man9-Cy and Man2(1→3)-Cy,
but more weakly to the Cy linker alone, suggesting that these core
two mannose residues together with the cyclohexyl linker are sufficient
to account for the bulk of serum reactivity. Moreover, the rabbit
antibodies generally bound much better to Man9-Cy than
to Man9-GlcNAc2 structures, suggesting that
the core and linker of the glycan was most important and that the
Manα1→2Man motif was not the major determinant of binding,
as we observed in our previous study.[38] By contrast, a monoclonal macaque antibody DH501 with crystallographically
observed Manα1→2Man binding specificity[64] exhibited identical low nanomolar binding EC50 values to Man9-Cy, Man4-Cy, and Man9GlcNAc2 but did not bind at all to either the (1→3)
or (1→6) isomer of Man2-Cy (Figure d). When the ratio of binding EC50 values for Man9/Man2(1→3) was calculated
for each vaccinated rabbit, no significant difference was observed
between groups (Figure e). Nearly all animals exhibited binding selectivity for Man9-Cy vs Man9GlcNAc2, with apparently
the strongest selectivity among pump-immunized animals (Figure f). Although the difference
between this group and the others was of borderline statistical significance
(p = 0.06 and 0.08 for comparison with bolus and
exponential groups, respectively), it suggests that the most gradual
release of the glycoconjugate is, if anything, detrimental to the
development of (Manα1→2Man)-focused antibodies, in the
context of these immunizations.
Figure 7
Carbohydrate selectivity of rabbit serum
IgGs elicited by g10F6–CRM.
(a–c) ELISA EC50 IgG titers to different glycans
displayed on peptide 10F12M–BSA for animals immunized by (a)
group 1 (bolus), (b) group 2 (exponential), and (c) group 3 (pump)
regimens. (d) Control ELISA of monoclonal macaque antibody DH501 binding
to sugar conjugates from panels a–c. DH501 binds to (Manα1→2Man)
termini of glycans, and unlike g10F6–CRM-elicited sera, binds
identically to Man9Cy and Man9GlcNAc2 conjugates. (e, f) For each rabbit, ratio of serum binding to full
vs truncated glycan and full Man9 glycan with vaccine-derived
cyclohexyl linker vs GlcNAc2. Numbers displayed above data
are p-values determined by one-way ANOVA followed
by Tukey’s post hoc test for multiple comparisons, using log-transformed
data; ns denotes p > 0.1. For background binding
of rabbit sera to BSA and linker, see Figure S5.
Carbohydrate selectivity of rabbit serum
IgGs elicited by g10F6–CRM.
(a–c) ELISA EC50 IgG titers to different glycans
displayed on peptide 10F12M–BSA for animals immunized by (a)
group 1 (bolus), (b) group 2 (exponential), and (c) group 3 (pump)
regimens. (d) Control ELISA of monoclonal macaque antibody DH501 binding
to sugar conjugates from panels a–c. DH501 binds to (Manα1→2Man)
termini of glycans, and unlike g10F6–CRM-elicited sera, binds
identically to Man9Cy and Man9GlcNAc2 conjugates. (e, f) For each rabbit, ratio of serum binding to full
vs truncated glycan and full Man9glycan with vaccine-derived
cyclohexyl linker vs GlcNAc2. Numbers displayed above data
are p-values determined by one-way ANOVA followed
by Tukey’s post hoc test for multiple comparisons, using log-transformed
data; ns denotes p > 0.1. For background binding
of rabbit sera to BSA and linker, see Figure S5.We next assessed whether these
three glycopeptide immunization
regimens might differentially prime responses to an HIV Env boost.
The minimal epitope prime/SOSIP protein boost strategy has recently
shown some promise in HIV vaccine approaches to focus the antibody
response on bnAb epitopes.[46,65] Thus, all groups were
boosted with three bolus doses of native-like trimeric BG505T332N
SOSIP.664 gp140 protein. Consistent with previous rabbit immunization
studies using this trimeric Env,[7] all animals
developed binding to this Env (ELISA EC50 titers of 400–1500)
and most developed BG505T332N neutralizing activity (IC50 titers of 40–800, Figure and SI Table S3). However,
no statistically significant differences were observed between groups.
In our previous work,[38] the SOSIP boost
immunizations did not increase titers against the g10F6 glycopeptide,
and they elicited similar SOSIP binding titers in animals primed with
either CRM–g10F6 or CRM alone; therefore, these effects were
not investigated in the present study.
Figure 8
HIV binding and neutralization
after SOSIP boosts. (a) Rabbit serum
ELISA EC50 IgG titers to BG505T332N SOSIP gp140 trimeric
HIV Env protein (12 ng/well), the same strain used for the boost immunizations.
Dotted lines indicate the time points of the boost immunizations.
(b) TZM-bl neutralization assays against BG505T332N pseudovirus. The
dotted line denotes the lowest (20:1) dilution tested in the assay.
The three data points on this line represent less than half-maximal
inhibition at this dilution. ns denotes p > 0.1
in
one-way ANOVA.
HIV binding and neutralization
after SOSIP boosts. (a) Rabbit serum
ELISA EC50 IgG titers to BG505T332N SOSIP gp140 trimeric
HIV Env protein (12 ng/well), the same strain used for the boost immunizations.
Dotted lines indicate the time points of the boost immunizations.
(b) TZM-bl neutralization assays against BG505T332N pseudovirus. The
dotted line denotes the lowest (20:1) dilution tested in the assay.
The three data points on this line represent less than half-maximal
inhibition at this dilution. ns denotes p > 0.1
in
one-way ANOVA.
Discussion and Conclusions
This
study was designed to test the hypothesis that slow release
immunization regimens could be used to increase the selectivity of
vaccine elicited antibodies for the nonreducing “tips”
(Manα1→2Man moieties) of oligomannose glycans. Because
these glycans are trimmed by serum mannosidase on a time scale (hours
to days) competitive with germinal center formation (days) and affinity
maturation (weeks), it was reasoned that a constant supply of fresh
immunogen would increase the exposure of germinal centers to intact
glycans, thereby resulting in a stronger antibody response to the
Manα1→2Man tips of the Man9. Instead, we observed
similar results from standard bolus immunizations versus exponential
and continuous immunization, with, if anything, more response to intact
glycans in the bolus-immunized animals. A better understanding of
this result would require more detailed data about the relative kinetics
of (1) mannosidase trimming and (2) activation of the B cells that
lead to this antibody response. Although we have observed[38] ∼50% cleavage of our immunogen glycans
from Man9 to Man8/7/6 within ∼17 h in
serum ex vivo at a high concentration (100 μL/mL),
we do not know the rates in vivo and at relevant
concentrations; moreover, it is not known what concentrations might
saturate the mannosidase activity in vivo. If the
bolus dose were to saturate mannosidase activity, intact oligomannose
would be more likely to encounter B cells; by contrast, the low rate
of immunogen release in pump immunizations might allow for more extensive
mannosidase trimming prior to B cell encounter. Future dose or kinetics
studies might address these questions, although a more straightforward
route to vaccine optimization would be to eliminate the degradation
of the glycan, using mannosidase inhibitors or chemical modification
of the glycans.Independent of immunization regimen, the lack
of antibody response
to the Manα1→2Man termini may also be due to a failure
to engage appropriate germline precursors of Manα1→2Man-binding
antibodies. A great deal of HIV vaccine research is currently devoted
to approaches that utilize immunogens designed to bind to inferred
germline precursors of bnAbs, under the supposition that vaccine-elicited
bnAbs with the same specificity are more likely to arise from the
same germline Ab lineage.[66] To address
this question experimentally would require the design of immunogens
that bind to the human germline precursors of 2G12 or other HMP bnAbs
and to test them in germline bnAb knock-in animals.[67−69]Another
potential barrier to elicitation of Manα1→2Man-binding
Abs or bnAbs could be insufficient somatic hypermutation. Nearly all
HIV bnAbs are highly somatically mutated. This includes the high-mannose-patch
antibodies, which generally bear ∼20% nucleotide mutation in
the heavy chain.[70] In contrast, antibodies
from vaccination have been reported to average ∼6% nucleotide
mutation.[71,72] DH501, which binds oligomannose but neutralizes
only kifunensine-treated virus (bearing exclusively Man8/9 glycans), is also highly mutated (23% of amino acids in the heavy
chain).[73] DH501 arose during a four-year
course of 17 immunizations using both Env protein and Env DNA in monkeys,
which is the only vaccine regimen to date that has definitively elicited
antibodies that bind to the Manα1→2Man motif.[64] To recapitulate and improve on those findings
with a more practical immunization regimen remains an important goal.
Methods
Detailed information
for all methods used can be found in the Supporting Information.
Authors: Joseph G Jardine; Daniel W Kulp; Colin Havenar-Daughton; Anita Sarkar; Bryan Briney; Devin Sok; Fabian Sesterhenn; June Ereño-Orbea; Oleksandr Kalyuzhniy; Isaiah Deresa; Xiaozhen Hu; Skye Spencer; Meaghan Jones; Erik Georgeson; Yumiko Adachi; Michael Kubitz; Allan C deCamp; Jean-Philippe Julien; Ian A Wilson; Dennis R Burton; Shane Crotty; William R Schief Journal: Science Date: 2016-03-25 Impact factor: 47.728
Authors: S Munir Alam; Baptiste Aussedat; Yusuf Vohra; R Ryan Meyerhoff; Evan M Cale; William E Walkowicz; Nathan A Radakovich; Kara Anasti; Lawrence Armand; Robert Parks; Laura Sutherland; Richard Scearce; M Gordon Joyce; Marie Pancera; Aliaksandr Druz; Ivelin S Georgiev; Tarra Von Holle; Amanda Eaton; Christopher Fox; Steven G Reed; Mark Louder; Robert T Bailer; Lynn Morris; Salim S Abdool-Karim; Myron Cohen; Hua-Xin Liao; David C Montefiori; Peter K Park; Alberto Fernández-Tejada; Kevin Wiehe; Sampa Santra; Thomas B Kepler; Kevin O Saunders; Joseph Sodroski; Peter D Kwong; John R Mascola; Mattia Bonsignori; M Anthony Moody; Samuel Danishefsky; Barton F Haynes Journal: Sci Transl Med Date: 2017-03-15 Impact factor: 17.956
Authors: Joyce K Hu; Jordan C Crampton; Albert Cupo; Thomas Ketas; Marit J van Gils; Kwinten Sliepen; Steven W de Taeye; Devin Sok; Gabriel Ozorowski; Isaiah Deresa; Robyn Stanfield; Andrew B Ward; Dennis R Burton; Per Johan Klasse; Rogier W Sanders; John P Moore; Shane Crotty Journal: J Virol Date: 2015-08-05 Impact factor: 5.103
Authors: Matthias Pauthner; Colin Havenar-Daughton; Devin Sok; Joseph P Nkolola; Raiza Bastidas; Archana V Boopathy; Diane G Carnathan; Abishek Chandrashekar; Kimberly M Cirelli; Christopher A Cottrell; Alexey M Eroshkin; Javier Guenaga; Kirti Kaushik; Daniel W Kulp; Jinyan Liu; Laura E McCoy; Aaron L Oom; Gabriel Ozorowski; Kai W Post; Shailendra K Sharma; Jon M Steichen; Steven W de Taeye; Talar Tokatlian; Alba Torrents de la Peña; Salvatore T Butera; Celia C LaBranche; David C Montefiori; Guido Silvestri; Ian A Wilson; Darrell J Irvine; Rogier W Sanders; William R Schief; Andrew B Ward; Richard T Wyatt; Dan H Barouch; Shane Crotty; Dennis R Burton Journal: Immunity Date: 2017-06-20 Impact factor: 31.745
Authors: Rogier W Sanders; Ronald Derking; Albert Cupo; Jean-Philippe Julien; Anila Yasmeen; Natalia de Val; Helen J Kim; Claudia Blattner; Alba Torrents de la Peña; Jacob Korzun; Michael Golabek; Kevin de Los Reyes; Thomas J Ketas; Marit J van Gils; C Richter King; Ian A Wilson; Andrew B Ward; P J Klasse; John P Moore Journal: PLoS Pathog Date: 2013-09-19 Impact factor: 6.823
Authors: Thomas C Donahue; Guanghui Zong; Nicholas A O'Brien; Chong Ou; Jeffrey C Gildersleeve; Lai-Xi Wang Journal: Bioconjug Chem Date: 2022-06-10 Impact factor: 6.069
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