Effector T cells comprise the cellular arm of the adaptive immune system and are essential for mounting immune responses against pathogens and cancer. To reach effector status, costimulation through CD28 is required. Here, we report that sialic acid-containing glycans on the surface of both T cells and APCs are alternative ligands of CD28 that compete with binding to its well-documented activatory ligand CD80 on the APC, resulting in attenuated costimulation. Removal of sialic acids enhances antigen-mediated activation of naïve T cells and also increases the revival of effector T cells made hypofunctional or exhausted via chronic viral infection. This occurs through a mechanism that is synergistic with antibody blockade of the inhibitory PD-1 axis. These results reveal a previously unrecognized role of sialic acid ligands in attenuation of CD28-mediated costimulation of T cells.
Effector T cells comprise the cellular arm of the adaptive immune system and are essential for mounting immune responses against pathogens and cancer. To reach effector status, costimulation through CD28 is required. Here, we report that sialic acid-containing glycans on the surface of both T cells and APCs are alternative ligands of CD28 that compete with binding to its well-documented activatory ligand CD80 on the APC, resulting in attenuated costimulation. Removal of sialic acids enhances antigen-mediated activation of naïve T cells and also increases the revival of effector T cells made hypofunctional or exhausted via chronic viral infection. This occurs through a mechanism that is synergistic with antibody blockade of the inhibitory PD-1 axis. These results reveal a previously unrecognized role of sialic acid ligands in attenuation of CD28-mediated costimulation of T cells.
T cell-mediated immunity
is central to host defense against pathogens,
progression of autoimmunity, and elimination of cancer cells.[1] To fully activate, T cells must receive two signals
from an antigen presenting cell (APC) via a cell–cell interface
called the immunological synapse (IS).[2] The first signal is antigen-specific and is initiated by the T cell
receptor (TCR) recognizing an antigenic peptide displayed on a major
histocompatibility complex (MHC) on an APC.[3] The second, “costimulatory” signal is antigen-independent
and mediated by CD28 on T cells, a receptor recruited to the IS by
its protein ligands CD80/CD86, expressed on the APC.[4,5] Both signals are required for naïve T cells to differentiate
into functional effector cells. In contrast to these activatory signals,
T cell activation and continued function can be suppressed by immunological
“checkpoint” receptors such as PD-1 and CTLA-4. These
inhibitory receptors on T cells are similarly recruited to the IS
if their cognate ligands are expressed on the APC, leading to functional
“exhaustion” of T cells.[6] Under these circumstances, while presented antigens are still recognized
by the TCR, full activation cannot be achieved.[7] Blocking checkpoint receptors using therapeutic antibodies
has led to transformational developments in treatment of refractory
cancers via functional revival of cancer-specific effector T cells
from hypofunctional and exhausted phenotypes.[8] The success of these approaches has created enormous interest in
understanding the detailed mechanisms that regulate activation of
naïve and effector T cells.Motivated by recent reports
of the sialic acid-binding immunoglobulin-like
receptors (Siglecs) as immunological checkpoints,[9−11] we were drawn
to work dating back nearly 40 years that showed T cell activation
was enhanced by enzymatic removal of sialic acids from the surface
of T cells and/or APCs.[12−17] Using an antigen-independent system, these studies showed that T
cell activation could be significantly enhanced by prior treatment
of syngeneic B cells with sialidases.[14] While these observations were suggestive of a role of sialic acids
in costimulation, the mechanism has remained elusive. Here, we show
that sialic acids are alternative ligands of CD28 that compete for
binding to CD80. Thus, by destroying sialic acid ligands, CD28 is
better able to engage CD80, accounting for increased costimulation
of T cells. Further, we find that removal of sialic acid ligands leads
to dramatic revival of hypofunctional and exhausted PD-1+ T cells and that this enhancement is synergistic with blockade of
the PD-1 checkpoint pathway.
Results and Discussion
To further
assess the impact of sialic acids on antigen-specific
T cell activation, we used chicken ovalbumin (OVA)-specific CD4+ and CD8+ T cells (OT-I and OT-II cells, respectively)
in combination with bone marrow-derived dendritic cells (DCs) matured
with bacterial lipopolysaccharide (LPS). Treatment of T cells and
DCs with sialidase from Vibrio cholerae efficiently
removed cell surface sialic acids from the most common NeuAcα2-3Gal
and NeuAcα2-6Gal linkages found on glycoproteins of T cells
and DCs, as detected by fluorescent lectin staining (Figure A). In the context of T cell
activation, sialidase treatment of cocultures containing OVA-presenting
DCs and OT-I or OT-II cells led to a significant enhancement in proliferation
of both T cell types, as measured by dilution of the proliferation
reporter dye CellTrace Violet (CTV) (Figure B–D). This effect was conserved under
treatment with an alternative sialidase from Streptococcus
pneumoniae and when alternatively matured DCs or splenocytes
were substituted as APCs (Figure S1). We
observed no effect when heat-denatured enzyme (Δ) was used,
confirming the dependence on specific sialidase activity.
Figure 1
Desialylation
enhances antigen-dependent activation of T cells.
(A) Lectin staining of T cells (from a mixture of splenocytes)
and bone marrow-derived dendritic cells from WT C57BL/6J mice before
(PBS) and after treatment with sialidase from V. cholerae (55 mU). The red arrow indicates site of action of sialidase, and
the dashed box shows the lectin recognition motif. SNA = lectin from Sambucus nigra. MAA-II = lectin from Maackia amurensis. PNA = peanut agglutinin. (B) Antigen-specific T cell
proliferation assay setup. (C) T cell proliferation histograms
(dilution of CTV) for cocultures in the presence of sialidase from V. cholerae. DC to T cell ratio was 1:2. Δ = heat
inactivated. (D) Quantification of T cell proliferation
data from C (n ≥ 3). (E) Schematic of glycosylation pathways inhibited by 3FaxNeuAc and kifunensine. See Figure D for pictogram definitions of monosaccharides. (F) Proliferation of T cells using DCs selectively desialylated
via pretreatment with 3FaxNeuAc or kifunensine. (G) T cell proliferation histograms for cocultures as set up
in F. DC to T cell ratio was 1:2. (H) Quantification
of T cell proliferation data from G (n ≥ 3). Mean ± SD (D, H). **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001, NS = not significant (D, H). One-way ANOVA followed by Tukey’s multiple comparisons
test (D, H). Normalized division index corresponds
to T cell division index for sialidase-treated cultures divided by
the division index for the corresponding PBS-treated control. T cell
proliferation data is pooled from at least three separate experiments.
Gating strategies: CD4+ T cells, viability dye– CD4+ (TCR Vα2+ for OT-II); CD8+ T cells, viability dye– CD8+ (TCR Vα2+ for OT-I); DCs, viability dye– CD11c+ MHC II+.
Desialylation
enhances antigen-dependent activation of T cells.
(A) Lectin staining of T cells (from a mixture of splenocytes)
and bone marrow-derived dendritic cells from WT C57BL/6J mice before
(PBS) and after treatment with sialidase from V. cholerae (55 mU). The red arrow indicates site of action of sialidase, and
the dashed box shows the lectin recognition motif. SNA = lectin from Sambucus nigra. MAA-II = lectin from Maackia amurensis. PNA = peanut agglutinin. (B) Antigen-specific T cell
proliferation assay setup. (C) T cell proliferation histograms
(dilution of CTV) for cocultures in the presence of sialidase from V. cholerae. DC to T cell ratio was 1:2. Δ = heat
inactivated. (D) Quantification of T cell proliferation
data from C (n ≥ 3). (E) Schematic of glycosylation pathways inhibited by 3FaxNeuAc and kifunensine. See Figure D for pictogram definitions of monosaccharides. (F) Proliferation of T cells using DCs selectively desialylated
via pretreatment with 3FaxNeuAc or kifunensine. (G) T cell proliferation histograms for cocultures as set up
in F. DC to T cell ratio was 1:2. (H) Quantification
of T cell proliferation data from G (n ≥ 3). Mean ± SD (D, H). **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001, NS = not significant (D, H). One-way ANOVA followed by Tukey’s multiple comparisons
test (D, H). Normalized division index corresponds
to T cell division index for sialidase-treated cultures divided by
the division index for the corresponding PBS-treated control. T cell
proliferation data is pooled from at least three separate experiments.
Gating strategies: CD4+ T cells, viability dye– CD4+ (TCR Vα2+ for OT-II); CD8+ T cells, viability dye– CD8+ (TCR Vα2+ for OT-I); DCs, viability dye– CD11c+ MHC II+.
Figure 2
CD28 binds sialylated glycans. (A) Survey of Ig-like
receptors at the IS (top). Competition between sialic acid ligands
of CD28 and CD80 at a normally sialylated IS and increased costimulatory
interactions as a result of treatment with sialidase (bottom). (B) Glycan array screening workflow for IS receptors. (C) Glycan array binding data for human and mouse CD80, CD28,
and both receptors precomplexed. Compound IDs for top hits are indicated
on the plots for CD28 (n = 4 for each peak). (D) Structures of glycan ligands for CD28. (E)
Steady state binding of α2-3 sialyl-diLacNAc to surface immobilized
CD28-GFP measured via SPR. The black line represents steady-state
fit. Mean ± SD (C).
To assess the impact of selective desialylation on APCs, we cultured
DCs in the presence of two specific inhibitors of glycosylation, kifunensine
or 2,4,7,8,9-pentaacetyl-3Fax-Neu5Ac-CO2Me (3FaxNeuAc).[18] Kifunensine acts early
in N-linked glycan maturation, preventing further processing of precursor
high-mannose type glycans (and thus subsequent addition of sialic
acids as terminal sugar residues).[19] In
contrast, 3FaxNeuAc directly prevents sialic acid transfer
through inhibition of sialyltransferases (Figure E).[18−20] Both kifunensine and 3FaxNeuAc were able to reduce DC sialylation on the time scale of T cell
activation assays, albeit to a lesser extent than constant exposure
to sialidase (Figure S2A–C). Nonetheless,
DCs treated with either inhibitor were significantly more potent in
activating normally sialylated CD4+ and CD8+ T cells as compared to untreated controls, suggesting that sialic
acids on N-linked glycans within the glycocalyx of DCs suppress activation
of T cells (Figure F–H). To determine if this effect was dependent on IS formation
with the APC or was mediated by secreted soluble factors, we conducted
experiments where T cells and DCs were physically separated using
a transwell system. Neither kifunensine nor 3FaxNeuAc-desialylated
DCs showed any ability to enhance T cell activation over PBS controls
when physically separated from untreated T cells, and expression of
both activatory/inhibitory receptors on the DCs remained unchanged
(Figure S1G,H and Figure S2D,E). Taken together, these data suggested that sialic acids
on N-linked glycans negatively impact signaling between T cells and
APCs and that sialic acids of APCs can contribute to attenuation of
antigen-mediated T cell activation through direct interference at
the IS.The costimulatory receptor CD28, its ligands, CD80/CD86,
and the
inhibitory receptors PD-1/PD-L1/PD-L2/CTLA-4 are all immunoglobulin
(Ig)-like cell surface receptors. We therefore considered the possibility
that one or more of these proteins might directly bind sialic acids
as ligands, similar to the sialic acid-binding immunoglobulin-like
lectin (Siglec) family of receptors, which are also members of the
Ig-like superfamily.[21−26] Indeed, like the Siglecs, these proteins all possess an N-terminal
V-set Ig-like domain and share significant sequence and structural
homology with the sialic acid ligand-binding region present in each
Siglec (Figure A, top and Figure S3A,B).[21−26] To evaluate potential sialoside-binding activity, we employed recombinant
chimeras comprising N-terminal V-set Ig-like domains (and C2-set domains
where appropriate) fused to the Fc-domain of human IgG. These were
applied to glycan arrays that contained a diverse library of glycans
capped with sialic acids including intact N-linked and O-linked glycans,
as well as fragments representing terminal sequences commonly found
in glycoprotein and glycolipid glycans. Representative glycans without
terminal sialic acids were included as controls (Figure B, Table S1).[27] Importantly, human and murine
CD28-Fc exhibited strikingly similar binding profiles to sialoglycans
on the array, including several N-linked and O-linked glycans with
the sequence NeuAcα2-3/6Galβ1-4GlcNAc, and to shorter
fragments with an additional sulfate on the Gal or GlcNAc (Figure C,D). Quantitative
binding to sialosides was also evaluated via surface plasmon resonance
(SPR), revealing that recombinant monomeric CD28 binds to a representative
glycan (#19, see Table S1) with KD = 112 μM (Figure E). This value is comparable to affinities
of members of the Siglec family of sialic acid-binding proteins that
range from ∼KD/IC50 of
0.3 μM (Siglec-4) to 4.5 mM (CD33/Siglec-3) and is most similar
to human CD22/Siglec-2 (KD ∼ 110
μM).[28] None of the other Fc-chimeras
examined for PD-1, PD-L1, PD-L2, CDLA-4, CD80, or CD86 displayed significant
binding to the array (Figure C and Figure S3C). Importantly,
when murine and human CD28-Fc were precomplexed with their respective
CD80 ligands prior to exposure to the array, binding to sialic acids
was blocked (Figure C). These data reveal that sialylated glycans are alternative ligands
for both human and murine CD28 and that binding to CD80 appears competitive
with binding to sialosides (Figure A, bottom).CD28 binds sialylated glycans. (A) Survey of Ig-like
receptors at the IS (top). Competition between sialic acid ligands
of CD28 and CD80 at a normally sialylated IS and increased costimulatory
interactions as a result of treatment with sialidase (bottom). (B) Glycan array screening workflow for IS receptors. (C) Glycan array binding data for human and mouse CD80, CD28,
and both receptors precomplexed. Compound IDs for top hits are indicated
on the plots for CD28 (n = 4 for each peak). (D) Structures of glycan ligands for CD28. (E)
Steady state binding of α2-3 sialyl-diLacNAc to surface immobilized
CD28-GFP measured via SPR. The black line represents steady-state
fit. Mean ± SD (C).To further assess the impact of sialic acids on CD28:CD80 interactions,
we measured direct binding of CD28-Fc to DCs and CD80-Fc to T cells,
with and without prior sialidase treatment (Figure ). Binding of CD28-Fc to desialylated DCs
was significantly enhanced compared to untreated cells and could be
blocked in the presence of anti-CD80, demonstrating that sialic acids
can act in “trans” on the DC to reduce binding of CD28
to CD80 (Figure A,B).
Similarly, binding of CD80-Fc to either CD4+ or CD8+ T cell populations was dramatically enhanced by sialidase
treatment (Figure C,D). These results suggest that sialic acid-containing glycans present
on the surface of T cells may also act in “cis” as competitive
ligands, sequestering available CD28 and thus inhibiting binding to
CD80 (Figure C). In
this context, it is notable that the sialic acid content in the lymphocyte
glycocalyx is >100 mM,[29] far above the
likely KD for binding of most sialic acid
ligands to CD28 (Figure E). We note that the rCD28-Fc and rCD80-Fc constructs used in these
studies were expressed in Chinese Hamster Ovary cells and are thus
sialylated themselves (e.g., mCD80 has five potential glycosylation
sites). The fact that we observed increased binding of these sialylated
proteins following desialylation of only DC or T cell surfaces demonstrates
that sialic acids on these recombinant proteins do not impair binding
and suggests that sialic acid-containing glycans on other glycoproteins
contribute in part or predominantly to the inhibition of CD28:CD80
binding. Consistent with this conclusion are reports that the glycosylation
sites on the Ig domain of CD80 that binds to CD28 are on the opposite
face to the CD28 binding site, thus precluding direct interactions
between the glycans and CD28.[30] For CD28,
deletion of all N-linked glycosylation, constituting 40% of the mass
of CD28, resulted in a recombinant CD28 that exhibited modestly increased
binding to CD80, suggesting that sialic acids on these glycans might
contribute in part to inhibition of CD28:CD80 interactions.[31] Although sialic acid ligands on the T cell block
CD80-Fc binding, the sialoside:CD28-Fc interaction is not sufficiently
avid to support binding of CD28-Fc to T cells alone, with staining
appearing identical to sialidase-treated controls (Figure S2F). Taken together, these results frame a role for
sialic acids in attenuating T cell costimulation since binding of
CD28 to CD80 is required for productive costimulation[4,5] (Figure A).
Figure 3
Sialylated
glycans on T cells and DCs impair CD28 binding to CD80.
(A) Schematic of the impact of DC desialylation to costimulatory
synapse formation. (B) Staining of bone marrow-derived
DCs (WT C57BL/6J donor) with recombinant CD28-Fc. Sialidase from V. cholerae (55 mU) was used to desialylate DCs. (C) Schematic of the impact of T cell desialylation to costimulatory
synapse formation. (D) Staining of splenic T cells from
WT C57BL/6J mice with recombinant CD80-Fc. Sialidase from V. cholerae (55 mU) was used to desialylate T cells. Mean
± SD (B, D). **P ≤
0.01, ***P ≤ 0.001, NS = not significant (B, D). One-way ANOVA followed by Tukey’s
multiple comparisons test as a paired analysis (B, D). Gating strategies: DCs, viability dye– CD11c+ MHC II+; CD4+ T cells, viability
dye– CD3+ CD4+; CD8+ T cells, viability dye– CD3+ CD8+.
Sialylated
glycans on T cells and DCs impair CD28 binding to CD80.
(A) Schematic of the impact of DC desialylation to costimulatory
synapse formation. (B) Staining of bone marrow-derived
DCs (WT C57BL/6J donor) with recombinant CD28-Fc. Sialidase from V. cholerae (55 mU) was used to desialylate DCs. (C) Schematic of the impact of T cell desialylation to costimulatory
synapse formation. (D) Staining of splenic T cells from
WT C57BL/6J mice with recombinant CD80-Fc. Sialidase from V. cholerae (55 mU) was used to desialylate T cells. Mean
± SD (B, D). **P ≤
0.01, ***P ≤ 0.001, NS = not significant (B, D). One-way ANOVA followed by Tukey’s
multiple comparisons test as a paired analysis (B, D). Gating strategies: DCs, viability dye– CD11c+ MHC II+; CD4+ T cells, viability
dye– CD3+ CD4+; CD8+ T cells, viability dye– CD3+ CD8+.Since costimulation through CD28
is key to reviving hypofunctional
and exhausted T cells through checkpoint blockade therapy,[32] we reasoned that the efficacy of checkpoint
blockade would be increased following removal of sialic acids. To
test this, we used leukocytes from mice infected with lymphocytic
choriomeningitis virus (LCMV, clone 13) as a source of hypofunctional
or exhausted (PD-1+) polyclonal CD8+ T cells
with defined antigen specificity (Figure A,B).[33] Splenocytes
from these animals were cultured ex vivo for 5 h in the presence of
viral peptide antigens (glycoprotein33 or 276 (GP33 or GP276) or nucleoprotein205
(NP205)) and/or sialidase (Figure A). Under these conditions, sialidase treatment increased
the percentage of functional CD8+ T cells over GP33 alone,
as defined by increased expression of both granzyme B (GrnzB) and
interferon-γ (IFN-γ) (Figure C,E). Importantly, we observed that potentially
hypofunctional (PD-1+) CD8+ T cells also exhibited
increased activation when treated with sialidase and restimulated
with either GP33 or NP205 (Figure C,E). No significant activation was observed in the
absence of antigen with or without sialidase. To place these findings
into context with direct blockade of the PD-1 axis, we performed additional
restimulation assays with anti-PD-L1 (αPD-L1) antibody blockade
and/or sialidase at an extended time point (72 h) (Figure F and Figure S4A). We chose αPD-L1 to facilitate comparisons with
previous studies using similar systems.[32,34] In these experiments,
functional revival of antigen stimulated splenocytes from mice infected
with LCMV for 10 or 25 days (hypofunctional and exhausted T cells,
respectively) was increased in the presence of sialidase as compared
to antigen alone, with an effect comparable to αPD-L1 treatment
(Figure G and Figure S4B). Importantly, combination treatment
with both αPD-L1 and sialidase resulted in the strongest and
most significant reactivation of CD8+ T cells for all antigens
tested (Figure G and Figure S4B). These results are consistent with
our expectation that enhanced costimulation as enabled by enzymatic
desialylation can enhance the efficacy of checkpoint blockade strategies.
Figure 4
Sialidase
enhances revival of hypofunctional T cells. (A) Generation
of polyclonal hypofunctional LCMV-specific CD8+ T cells
from WT C57BL6/J mice. Animals were infected with LCMV (2
× 106 pfu, clone 13). Spleens were harvested on day
9 postinfection, and splenocytes (containing a mixture of leukocytes
including T cells and APCs) were cultured in the presence of GP33
or NP205 LCMV peptide antigens and/or sialidase from V. cholerae (55 mU). Brefeldin A (Brf. A) was added at 0.5 h, and cytokine production
in CD8+ T cells was assessed at 5 h via flow cytometry.
(B) Representative PD-1 expression on CD8+ T cells from LCMV infected mice. Parent gate: viability dye– CD3+. (C) Representative density
maps of activated (GranzymeB+ IFN-γ+)
LCMV antigen-specific polyclonal CD8+ T cells. Parent gate:
viability dye– CD3+ CD8+.
(D) Representative density maps of activated PD-1+ (GranzymeB+ IFN-γ+) LCMV antigen-specific
polyclonal CD8+ T cells. Parent gate: viability dye– CD3+ CD8+ PD-1+.
(E) Quantification of the percentage of activated CD8+ T cells from C and D (n ≥ 5). (F) Assay workflow for longer term (72
h) activation of T cells made hypofunctional via chronic LCMV infection
as in A. (G) Quantification of antigen-induced
IFN-γ production by polyclonal CD8+ T cells from
LCMV infected mice as in A and F. IFN-γ
was quantified via ELISA after 72 h ex vivo stimulation with antigen
and anti-mouse PD-L1 (25 μg/mL) and/or sialidase from V. cholerae (55 mU) (n ≥ 4). Mean
± SD (E, G). *P <
0.05, **P ≤ 0.01, ***P ≤
0.001, ****P ≤ 0.0001, NS = not significant
(E, G). One-way ANOVA followed by Tukey’s
multiple comparisons test as a paired analysis (E, G).
Sialidase
enhances revival of hypofunctional T cells. (A) Generation
of polyclonal hypofunctional LCMV-specific CD8+ T cells
from WT C57BL6/J mice. Animals were infected with LCMV (2
× 106 pfu, clone 13). Spleens were harvested on day
9 postinfection, and splenocytes (containing a mixture of leukocytes
including T cells and APCs) were cultured in the presence of GP33
or NP205 LCMV peptide antigens and/or sialidase from V. cholerae (55 mU). Brefeldin A (Brf. A) was added at 0.5 h, and cytokine production
in CD8+ T cells was assessed at 5 h via flow cytometry.
(B) Representative PD-1 expression on CD8+ T cells from LCMV infected mice. Parent gate: viability dye– CD3+. (C) Representative density
maps of activated (GranzymeB+ IFN-γ+)
LCMV antigen-specific polyclonal CD8+ T cells. Parent gate:
viability dye– CD3+ CD8+.
(D) Representative density maps of activated PD-1+ (GranzymeB+ IFN-γ+) LCMV antigen-specific
polyclonal CD8+ T cells. Parent gate: viability dye– CD3+ CD8+ PD-1+.
(E) Quantification of the percentage of activated CD8+ T cells from C and D (n ≥ 5). (F) Assay workflow for longer term (72
h) activation of T cells made hypofunctional via chronic LCMV infection
as in A. (G) Quantification of antigen-induced
IFN-γ production by polyclonal CD8+ T cells from
LCMV infected mice as in A and F. IFN-γ
was quantified via ELISA after 72 h ex vivo stimulation with antigen
and anti-mouse PD-L1 (25 μg/mL) and/or sialidase from V. cholerae (55 mU) (n ≥ 4). Mean
± SD (E, G). *P <
0.05, **P ≤ 0.01, ***P ≤
0.001, ****P ≤ 0.0001, NS = not significant
(E, G). One-way ANOVA followed by Tukey’s
multiple comparisons test as a paired analysis (E, G).
Discussion
Costimulation through
CD28 is an indispensable signal required
for full activation of naïve and effector T cells—a
role that has been recognized for over 30 years.[35] Here we have shown that CD28 recognizes sialic acid-containing
glycans as ligands and that CD28-glycan complexes have a reduced capacity
to interface with canonical activatory ligands expressed by APCs.
We propose that sialic acid-mediated attenuation of CD28:CD80 interactions
provides a mechanistic basis for the decades-old observation that
sialidase treatment of T cells or APCs enhances T cell activation.
The implications of this finding naturally extend to activation of
T cells in other contexts. For example, we and others have shown that
sialic acid-containing glycans on T cells are dynamically remodeled
during differentiation and activation as a result of altered expression
of sialyltransferase and neuraminidase genes.[36,37] When placed into context with this work, these observations suggest
that such remodeling is a biologically authentic step in T cell activation
and could tune the amount of CD28 available for costimulation through
altered expression of sialic acid ligands in cis. Similarly, various
APCs (e.g., DCs, B cells, cancer cells, etc.) have cell-type-specific
glycosylation with unique compositions of sialic acid-containing glycans
that could act to attenuate costimulation in trans. Therapeutic precedence
for roles of sialic acids in T cell attack of tumor cells has been
obtained by genetic impairment of tumor cell sialylation[38] or intratumor injection with a potent sialyltransferase
inhibitor[39] resulting in enhanced T cell-mediated
suppression of tumor growth. Similarly, the Bertozzi group found that
a sialidase–antibody conjugate targeting tumor cells to destroy
ligands for inhibitory Siglecs did indeed suppress tumor growth.[10,11] While the mechanism(s) for suppressed tumor growth and the cell
types involved have not yet been fully illuminated, we suggest that
removal of sialic acids on tumor cells could also enhance CD28-mediated
costimulation of T cells as a result of increased engagement with
B7 ligands on the tumor cell. Our discovery that sialidase can enhance
reactivation of hypofunctional and exhausted T cells and that this
effect is synergistic with blockade of the PD-1 axis is also potentially
relevant to these and other disease models where PD-1 is expressed
on tumor-infiltrating lymphocytes.[40] Thus,
approaches to reduce the sialic acid content of T cells or APCs may
have value in settings requiring enhanced costimulation via CD28 for
generation of effector or revival of hypofunctional T cells, especially
in scenarios where blockade of the PD-1 axis alone is insufficient.
Quantification
and Statistical Analysis
All statistical parameters were
calculated via one-way ANOVA in
Prism v.9 (GraphPad). Division indices were calculated using FlowJo
v.10 (BD).
Authors: Wenjie Peng; Robert P de Vries; Oliver C Grant; Andrew J Thompson; Ryan McBride; Buyankhishig Tsogtbaatar; Peter S Lee; Nahid Razi; Ian A Wilson; Robert J Woods; James C Paulson Journal: Cell Host Microbe Date: 2016-12-22 Impact factor: 21.023
Authors: Eszter Lázár-Molnár; Qingrong Yan; Erhu Cao; Udupi Ramagopal; Stanley G Nathenson; Steven C Almo Journal: Proc Natl Acad Sci U S A Date: 2008-07-18 Impact factor: 11.205
Authors: Bruce Y Ma; Sebastian A Mikolajczak; Tetsuya Yoshida; Ryoko Yoshida; David J Kelvin; Atsuo Ochi Journal: Biochem Biophys Res Commun Date: 2004-04-23 Impact factor: 3.575
Authors: Melissa A Gray; Michal A Stanczak; Natália R Mantuano; Han Xiao; Johan F A Pijnenborg; Stacy A Malaker; Caitlyn L Miller; Payton A Weidenbacher; Julia T Tanzo; Green Ahn; Elliot C Woods; Heinz Läubli; Carolyn R Bertozzi Journal: Nat Chem Biol Date: 2020-08-17 Impact factor: 15.040
Authors: N Balneger; L A M Cornelissen; M Wassink; S J Moons; T J Boltje; Y E Bar-Ephraim; K K Das; J N Søndergaard; C Büll; G J Adema Journal: Cell Mol Life Sci Date: 2022-01-28 Impact factor: 9.261
Authors: Sam J Moons; Emiel Rossing; Mathilde A C H Janssen; Torben Heise; Christian Büll; Gosse J Adema; Thomas J Boltje Journal: ACS Chem Biol Date: 2022-02-18 Impact factor: 5.100
Authors: Gang Wu; Gavuthami Murugesan; Manjula Nagala; Alex McCraw; Stuart M Haslam; Anne Dell; Paul R Crocker Journal: Wellcome Open Res Date: 2021-06-01