Rahul Vijay1, Jenna J Guthmiller2,3, Alexandria J Sturtz1, Fionna A Surette1,4, Kai J Rogers1, Ramakrishna R Sompallae5, Fengyin Li1,6, Rosemary L Pope2, Jo-Anne Chan7, Fabian de Labastida Rivera8, Dean Andrew8, Lachlan Webb8, Wendy J Maury1,4, Hai-Hui Xue1,4,9, Christian R Engwerda8, James S McCarthy8, Michelle J Boyle7,8, Noah S Butler10,11,12. 1. Department of Microbiology and Immunology, The University of Iowa, Iowa City, IA, USA. 2. Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. 3. Department of Medicine, Section of Rheumatology, The University of Chicago, Chicago, IL, USA. 4. Interdisciplinary Graduate Program in Immunology, The University of Iowa, Iowa City, IA, USA. 5. Department of Pathology, The University of Iowa, Iowa City, IA, USA. 6. Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China. 7. Burnet Institute, Melbourne, Victoria, Australia. 8. QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. 9. Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA. 10. Department of Microbiology and Immunology, The University of Iowa, Iowa City, IA, USA. noah-butler@uiowa.edu. 11. Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. noah-butler@uiowa.edu. 12. Interdisciplinary Graduate Program in Immunology, The University of Iowa, Iowa City, IA, USA. noah-butler@uiowa.edu.
Abstract
Plasmodium parasite-specific antibodies are critical for protection against malaria, yet the development of long-lived and effective humoral immunity against Plasmodium takes many years and multiple rounds of infection and cure. Here, we report that the rapid development of short-lived plasmablasts during experimental malaria unexpectedly hindered parasite control by impeding germinal center responses. Metabolic hyperactivity of plasmablasts resulted in nutrient deprivation of the germinal center reaction, limiting the generation of memory B cell and long-lived plasma cell responses. Therapeutic administration of a single amino acid to experimentally infected mice was sufficient to overcome the metabolic constraints imposed by plasmablasts and enhanced parasite clearance and the formation of protective humoral immune memory responses. Thus, our studies not only challenge the current model describing the role and function of blood-stage Plasmodium-induced plasmablasts but they also reveal new targets and strategies to improve anti-Plasmodium humoral immunity.
Plasmodium parasite-specific antibodies are critical for protection against malaria, yet the development of long-lived and effective humoral immunity against Plasmodium takes many years and multiple rounds of infection and cure. Here, we report that the rapid development of short-lived plasmablasts during experimental malaria unexpectedly hindered parasite control by impeding germinal center responses. Metabolic hyperactivity of plasmablasts resulted in nutrient deprivation of the germinal center reaction, limiting the generation of memory B cell and long-lived plasma cell responses. Therapeutic administration of a single amino acid to experimentally infectedmice was sufficient to overcome the metabolic constraints imposed by plasmablasts and enhanced parasite clearance and the formation of protective humoral immune memory responses. Thus, our studies not only challenge the current model describing the role and function of blood-stage Plasmodium-induced plasmablasts but they also reveal new targets and strategies to improve anti-Plasmodium humoral immunity.
Following either vaccination or microbial infection, humoral immunity
generally consists of temporally and spatially layered B cell activation events.
Early humoral responses are associated with extrafollicular B cells that proliferate
and rapidly differentiate into short-lived antibody secreting cells (ASCs), also
referred to as plasmablasts[1]. T
cell-dependent follicular responses take longer to develop and involve
antigen-specific B cells forming a germinal center (GC) where they engage in
sustained interactions with CD4+ T follicular helper cells
(TFH). GC B cells subsequently differentiate into either memory B
cells (MBCs) or long-lived plasma cells (LLPCs) that secrete high-affinity,
class-switched antibodies[1, 2]. It is thought that extrafollicular,
short-lived plasmablasts limit pathogen dissemination[3, 4]
until LLPC and MBC responses develop, which act to resolve the primary infection and
mediate resistance to subsequent pathogen exposures[5].Plasmodiuminfections caused an estimated 219 million cases
of malaria and resulted in approximately 435,000 deaths in 2017[6]. Both clinical and experimental studies
identify Plasmodium-specific antibodies as critical for both
limiting disease severity and promoting clearance of blood-stage parasites[7]. Although durable immunity to either
P. vivax or P. falciparum has been reported in
travelers and individuals from areas of relatively low transmission
intensity[8, 9, 10],
in regions of high P. falciparum transmission, parasite-specific
LLPCs and MBCs are not efficiently induced and sterilizing immunity against
blood-stage P. falciparum is seldom acquired, even following
repeated infections[11, 12].Multiple mechanisms have been postulated to explain the short-lived nature of
Plasmodium-specific humoral immune responses, including
preferential expansion of CXCR3+ (TH1-like) TFH
cells[13], regulatory T
cells[14, 15] and atypical MBCs[16, 17, 18, 19], as well as the dysregulation of chemokines and
cytokines[20, 21] and induction of immune
checkpoints[22, 23] that may delay or impair the acquisition of
humoral immunity against malaria. Although these studies have identified numerous
mechanisms that may contribute to the lack of durable immunity against malaria, our
past studies showed that genetic manipulations that either expand or constrain the
Plasmodium-specific GC response[24] are associated with substantially blunted or
elevated plasmablast responses, respectively (Guthmiller and Butler, unpublished
observations). These data raise the possibility that blood-stage
Plasmodiuminfections may preferentially induce
immunosuppressive plasmablast populations that reduce the development of GC B cell
responses and the induction of long-lived humoral immunity. Herein, we used
combinations of clinical trials and experimental rodent malaria models to define the
dynamics of infection-induced plasmablast populations and interrogate their
contribution to anti-Plasmodium immunity. Our data show that
clinical and experimental blood-stage Plasmodiuminfection
preferentially expands short-lived plasmablast populations and that during
experimental malaria these cells may function as a metabolic sink that constrains
GC-derived humoral immune reactions, thereby identifing a previously unknown
mechanism by which Plasmodium parasites subvert host immunity.
Results
Plasmablasts dominate the response to Plasmodium
infection
To examine the kinetics and magnitude of splenic ASC/plasmablast
responses during experimental malaria, we infected wild-type C57BL/6 mice with
Plasmodium yoelii (Py) strain 17XNL
parasitized red blood cells (pRBCs). This infection is normally non-lethal to
wild-type C57BL/6 mice and it mimics aspects of severe anemia and
hyperparasitemia associated with P. falciparum infection of
malaria-naïve individuals. We quantified activated and/or class-switched
(IgDneg) CD19+ B cells that expressed the adhesion and
migratory factor CD138 (syndecan-1) (Extended Data
Fig. 1a). Both splenic (Fig. 1a)
and circulating (Extended Data Fig. 1b)
CD138hiIgDneg plasmablast populations numerically
peaked on day 10 post-infection (p.i.), underwent rapid contraction and returned
to pre-infection numbers in the spleen by day 28 p.i. Notably, approximately
60–80% of all activated (IgDneg) splenic B cells displayed
characteristics of CD138hi plasmablasts on day 10 p.i. By comparison,
blood-stage Pyinfection-induced splenic GC
(B220+GL7+CD95+) B cell responses slowly
accumulated through day ~21 p.i. and persisted after parasite clearance (Fig. 1b), as previously described [25]. As expected, blood-stage
Pyinfection-induced CD138hi B cells uniformly
expressed Blimp-1 (Fig. 1c), a
transcriptional repressor encoded by Prdm1 that is essential
for plasmablast development[26].
CD138hi plasmablast populations also secreted either IgM or IgG
and at least a fraction of the cells reacted with Py-infected
RBC lysate antigen (Fig. 1d,e and Extended Data Fig.
1c). Relative to CD138loCD19hi B cells,
CD138hi plasmablasts also retained intermediate expression of
CD19 (Extended Data Fig. 1d), unlike LLPCs
that fully down-regulate CD19[26]. CD138hi plasmablasts or their precursors
incorporated 5-bromodeoxyuridine (BrdU) between days 6–10 p.i. (Extended Data Fig. 1e) and the cells
exhibited higher forward scatter (Extended Data
Fig. 1f), both of which are characteristics of proliferating/blasting
cells. In agreement with the notion that these cells are actively engaged in
antibody synthesis, CD138hi plasmablasts exhibited extensive rough
endoplasmic reticulum (Fig. 1f). At the
peak of the response on day 10 p.i., ~40% of CD138hi plasmablasts
exhibited caspase-3 and −7 activation (Fig.
1g) and by day 21 p.i., the number of CD138hi plasmablasts
in the bone marrow was similar to that in naïve mice (Extended Data Fig. 1g), suggesting that their
disappearance from the spleen and blood may be linked to apoptosis and was
unlikely due to rapid migration of CD138hi plasmablasts to the bone
marrow.
a, Gating strategy for identifying plasmablasts
(CD138hiIgDneg), activated
(CD138loIgDneg) and resting B cells
(CD138loIgDhi). b, kinetics of PB in
blood. Data are means ± s.d, representative of n = 2
biologically independent experiments with similar results using
n = 3 mice/time point. c,
CD138hiIgDneg plasmablasts were sort-purified from
Py-infected mice on day 10 p.i., cultured for 20 hours
and parasite lysate-specific IgM and IgG secreting ASCs were detected.
Representative wells of ELISPOT assay. d, Relative CD19
expression by CD138hiIgDneg plasmablasts on days 7,
10, and 14 post Py infection. Data are representative of
n > 5 experiments with similar results.
e, BrdU incorporation in
CD138hiIgDneg plasmablasts was assessed on day 10
p.i. Histogram represents BrdU staining, solid gray histogram is isotype
(mouse IgG1). Data are representative of n = 2 experiments
with similar results using n = 8 mice. f,
Forward scatter and side scatter of CD138hiIgDneg
plasmablasts examined on day 10 p.i. Data are representative of
n > 5 experiments with similar results.
g, Blimp-1/eYFP reporter mice were infected with Py.
CD138hi Blimp-1/eYFP+ cells in bone marrow from
naïve (left panel) or day 21 infected mice (right panel). Data are
representative of n = 2 independent experiments with
similar results using n = 4 mice/group.
h,i, CD21 and CD23 expression by B cells in a
naïve mouse (h) and day 10 Py-infected mouse
(i) showing plasmablasts (green box) activated (blue box)
and resting (red box) B cells. Data are representative of n
> 5 experiments with similar results using n = 3
mice/group. j, Representative plots of the frequency and total
numbers of GC B cells (GL7+CD95+) among plasmablasts,
activated and resting B cell populations on day 10 p.i. Data are means
± s.e.m., representative of n = 3 experiments with
similar results using n = 5 (Day 0 Total B cells) and
n = 4 mice (each remaining group).
Fig. 1
Preferential expansion of plasmablasts during experimental malaria.
a, Plots showing kinetics of splenic
CD138hiIgDneg B cells, representative of 6
biologically independent experiments with similar results. b,
Numbers of splenic plasmablasts (CD138hiIgDneg), GC B
cells (GL7+Fas+) and kinetics of parasite burden (% of
infected red blood cells) during Py infection. Data are means
± s.d. and representative of n = 3 biologically
independent experiments with similar results using n = 5 (PB
and GC B cells) and n = 4 mice (parasitemia). c, Blimp-1-eYFP
expression among CD138hiIgDneg (green),
CD138loIgDneg (blue) and
CD138loIgDhi (red) cells on day 10 p.i. Data are
representative of n = 2 independent experiments with
n = 8 mice. d, Parasite-specific IgM and IgG
antibody secreted by splenic CD138hiIgDneg plasmablasts
isolated on day 10 p.i. Data are means ± s.e.m., pooled from 2
biologically independent experiments with n = 6 wells (media
only) wells and n = 12 wells
(CD138hiIgDneg). e, Numbers of
parasite-specific antibody secreting CD138hiIgDneg
plasmablasts isolated on day 10 p.i. Data are means ± s.e.m., pooled from
n = 2 biologically independent experiments with n = 8 (IgG) and
n = 11 mice (IgM). f, Transmission electron
micrographs of indicated cells isolated on day 10 p.i. Data representative of
n = 3 biologically independent experiments with similar
results using n = 100 cells for each population and 1
mouse/experiment. Scale bar, 2 μm. Yellow arrows, rough endoplasmic
reticulum. g, FLICA staining in CD138hiIgDneg
plasmablasts (green) and naïve B cells (red) on day 10 p.i. Data
representative of n = 2 biologically independent experiments
similar results using n = 6 mice/time point. h,
Confocal micrographs of day 10 p.i. spleen showing CD4 T cells (gray), total B
cells (red), germinal center B cells (blue) and CD138hi plasmablasts
(green). Data representative of n = 2 biologically independent
experiments using n = 3 mice. Scale bar, 300μm.
The spleen contains a heterogeneous population of B lymphocytes that
includes follicular (FO, CD21intCD23+) and marginal zone
(MZ, CD21hiCD23neg) B cells (Extended Data Fig. 1h). Splenic CD138hi plasmablasts are
reported to differentiate from either FO or MZ B cells[27]. We found that CD138hi
plasmablasts did not exhibit characteristics of FO B cells and only a minor
proportion (~15%) exhibited characteristics of MZ B cells, whereas blood-stage
Pyinfection-induced activated
(CD138loIgDneg) B cells and the bulk of resting
(CD138loIgDhi) B cells displayed characteristics of
either FO or MZ B cells (Extended Data Fig.
1i). CD138hi plasmablasts also did not express markers of
GC B cells (GL-7+Fas+) (Extended Data Fig. 1j). In agreement with this surface phenotype,
the majority of blood-stage Plasmodiuminfection-induced
CD138hi plasmablasts localized outside of B cell follicles (Fig. 1h). Together, these data support that
blood-stage Plasmodiuminfection is associated with transient
yet substantial accumulations of CD138hiIgDneg
plasmablasts that localize outside of follicles.
The significant expansion and accumulation of CD138hi
plasmablasts suggests they may play a critical role in mediating host protection
against blood-stage Plasmodiuminfection. To test this
hypothesis, we first transferred CD138hi plasmablasts purified from
Py-infected donors to Py-infected
recipient mice 5 days before the peak of the endogenous CD138hi
plasmablast response in recipients (Extended Data
Fig. 2a). Notably, transfer of CD138hi plasmablasts
resulted in higher parasite burdens (Fig.
2a), compared to recipients receiving either activated
(CD138loIgDneg) B cells or PBS. Recipients of
CD138hi plasmablast also exhibited lower titers of parasite
lysate-specific IgG2b on day 21 p.i. (day 16 post-transfer) (Fig. 2b). Next, we employed a genetic approach focused
on Prdm1. We generated competitive mixed bone marrow chimeric
mice in which we could conditionally and selectively delete
Prdm1 from the B cell compartment (Extended Data Fig. 2b). Tamoxifen treatment of
Py-infected Cre+ chimeric mice abrogated
CD138hi plasmablast responses (Fig.
2c) and enhanced parasite control (Fig.
2d). Genetic blockade of plasmablast development also resulted in 8
to 10-fold increases in number of GC B cells (Fig.
2e) and GC-TFH-like cells (Fig. 2f and Extended Data Fig.
2c) and higher titers of merozoite surface protein 1
(MSP119)-specific serum IgG2b (Fig.
2g). Importantly, tamoxifen had no effect on parasite growth when
administered to either Py-infected Creneg chimeric
(not shown) or wild-type mice (Extended Data Fig.
2d) and inducible deletion of Prdm1 did not instead
simply skew B cell differentiation towards the GC fate in
Py-infected chimeric mice (Extended Data Fig. 2e,f).
Extended Data Fig. 2
Developmental abrogation of blood stage Plasmodium
infection-induced plasmablast responses.
a, Experimental design for adoptive transfers.
b, Experimental design for Rosa26-ERT2/Cre ×
Prdm1fl/fl (CD45.2) : μMT bone marrow chimeric system.
Eight weeks after engraftment, mice were infected with 1 ×
106
Py and then treated with either corn oil or tamoxifen on
days 4, 5, and 6 p.i. c, Gating strategy of TFH
cells. d, Kinetics of parasite burden in
Py-infected wild-type mice treated with tamoxifen or corn
oil on days 4, 5, and 6 p.i. Data are means ± s.e.m., pooled from
n = 2 biologically independent experiments with
n = 6 mice/group. e, Experimental design
for the three-way mixed bone marrow chimera. f, Eight weeks
after engraftment, mice were infected with Py, treated with
either corn oil or tamoxifen on days 4, 5, and 6 p.i. and the relative
proportions (pie diagram) of Prdm1fl/fl (CD45.2)
and wild-type (CD45.1) cells in the GC B cell compartment was analyzed. Data
are means ± s.e.m., pooled from n = 2 biologically
independent experiments with n = 4 mice/group.
g, Evaluation of TH1 responses in PBS and
tamoxifen-treated mixed bone marrow chimeric mice (as shown in b). Data are
means ± s.d. representative of n = 2 biologically
independent experiments with similar results using n = 5
(corn oil) and n = 4 mice (tamoxifen). Data in f,g were
analyzed using two-tailed Mann-Whitney. Symbols and symbols represent
individual mice.
Fig. 2
Blocking plasmablast development improves humoral immunity.
a,b, Py-infected mice were
transferred either CD138hiIgDneg plasmablasts,
CD138loIgDneg activated B cells or PBS. Kinetics of
parasite burden (a) and anti-parasite IgG2b serum antibody endpoint
titers (EPT) on day 21 p.i (b) in recipients. Data in a are means
± s.e.m pooled from n = 2 independent experiments with
n = 7 (IgDnegCD138hi) and n = 8
(IgDnegCD138lo and PBS) mice analyzed by two-way ANOVA
with Tukey’s multiple comparison test (DF = 14; F = 2.603). Data in b are
means ± s.d. and representative of n = 2 biologically
independent experiments with similar results using n = 4
mice/group. c-g, Rosa26-ERT2/Cre
Prdmfl/fl : μMT bone marrow chimeras
infected with Py were either treated with vehicle (corn oil) or
tamoxifen on days 4, 5 and 6 p.i. Plots showing abrogation of plasmablasts on
day 10 p.i. (c) and kinetics of parasite burden (d).
Data are means ± s.e.m, pooled from n = 2 independent
experiments with n = 6 mice/group. e-g, Numbers of
splenic GC B cells (e), GC-TFH-like cells
(f) and anti-Py serum antibody EPT
(g) on day 21 p.i. Data are means ± s.e.m., pooled from
n = 2 biologically independent experiments with
n = 6 (corn oil) and n = 7 mice
(tamoxifen). For d, data were analyzed using two-way ANOVA with Sidak’s
multiple comparison test (DF= 9; F= 3.1). For b,e,f, and g, two-tailed
Mann-Whitney tests were used for statistical analyses. Symbols in b, e-g
represent individual mice.
Although elevated parasite-specific antibody titers and enhanced
parasite control were somewhat unexpected in the absence of Blimp-1, previous
studies showed that antigen-specific IgG secretion is only modestly reduced in
splenic B cell subsets lacking Prdm1[28]. However, early production of natural
killer cell- and TH1-derived IFN-γ can suppress
Plasmodium replication early after blood-stage
infection[29, 30] and we observed 2-fold increases in
Ly6C+CXCR3+IFN-γ+
TH1-like cell responses in tamoxifen-treated,
Py-infected Cre+ chimeric mice (Extended Data Fig. 2g). These data support that
blood-stage Pyinfection-induced CD138hi
plasmablasts suppress GC responses and constrain
anti-Plasmodium humoral immunity.
Deletion of plasmablasts improves humoral immunity
To confirm the effects of abrogating the CD138hi plasmablast
response without impacting GC-derived plasma cell responses, we generated
CD138-DTR bone marrow chimeric mice in which CD138+ hematopoietic
cells could be deleted using diphtheria toxin (DTx) (Extended Data Fig. 3a). Importantly, this approach
deletes plasmablasts and plasma cells at the time of treatment, but allows the
development of future LLPCs. DTx-mediated deletion of CD138hi
plasmablasts (Fig. 3a) in
Py-infected chimeric mice resulted in decreased parasite
burden (Fig. 3b), increases in both the
number of GC B cells (Fig. 3c) and
GC-TFH-like cells (Fig. 3d),
as well as elevated serum titers of MSP119-specific IgG (Fig. 3e) on day 21 p.i. Concomitant with the
loss of CD138hi plasmablasts, DTx-treatment transiently reduced the
number of splenic ASCs on day 10 p.i. However, numbers of splenic ASC were
elevated on days 15 and 21 p.i. in DTX-treated mice (Fig. 3f,g),
perhaps as a result of GC-derived ASC formation. No differences in either
parasite burden, GC B cells or GC-TFH-like cells were observed when
Py-infected wild-type mice were treated with DTx (Extended Data Fig. 3b–d). Thus, reduced parasite loads and
elevated GC responses in DTx-treated CD138-DTR chimeric mice were a consequence
of CD138hi plasmablast deletion, and not due to any direct effect of
DTx on parasite growth or immune cell activation.
Extended Data Fig. 3
Deletion of blood stage Plasmodium infection-induced
plasmablast responses
a, Experimental design for generating CD138-DTR
chimeras. Eight weeks after engraftment, mice were infected with 1 ×
106
Py and on days 5 and 7 p.i. treated with either DTx or PBS
to delete plasmablasts. Data are means ± s.d., representative of
n = 2 independent experiments with similar results
using n = 4 mice/group. b-d,
Py-infected wild-type mice were treated with either DTx
or PBS on days 5 and 7 p.i. Kinetics of parasite burden (b),
representative plots and summary data of GC B cells (c) and
GC-Tfh cells (d) on 21 p.i. Data are means ± s.d.,
representative of n = 2 biologically independent
experiments with similar results using n = 4 (PBS) and
n = 3 mice (DTx). e-g,
CD138-DTR chimeric mice were infected with 1 × 106
Py, plasmablasts were deleted with DTx and mice were
subsequently treated with either MR-1 (anti-CD40L) or hamster IgG on days
8–11 p.i. Representative plots and summary data of GC B
(e) and GC-TFH (f) cells as measured on day 21
p.i. and kinetics of parasite burden (g). Data are means
± s.e.m., pooled from n = 2 biologically independent
experiments with n = 6 mice/group. Symbols in c-f represent
individual mice and data were analyzed using two-tailed Mann-Whitney.
Fig. 3
Deletion of plasmablasts enhances humoral immunity.
a-g, CD138-DTR bone marrow chimeras were infected with
Py and treated with either vehicle (PBS) or diphtheria
toxin (DTx) on days 5 and 7 p.i. Plots showing deletion of plasmablasts on day
10 p.i (a) and kinetics of parasite burden (b). Data
are means ± s.e.m, pooled from n = 2 biologically
independent experiments with n = 7 mice/group analyzed with a
two-way ANOVA with Sidak’s multiple comparison test (DF = 6; F = 8.777).
c, Numbers of splenic GC B cells. Data are means ± s.d.
representative of n = 2 biologically independent experiments
with similar results using n = 5 (PBS) and n =
4 mice (DTx). d, Numbers of splenic GC-TFH-like cells.
Data are means ± s.d. representative of n = 2
biologically independent experiments with similar results using
n = 5 mice/group. e, Anti-MSP119
specific serum antibody EPT on day 21 p.i. Splenic plasmablast kinetics as
detected by flow cytometry (f) and ELISPOT (g). Data
in e-g are means ± s.e.m., pooled from n = 2
biologically independent experiments with n = 6 mice/group.
Symbols in c-e represent individual mice. For panels c-g, data were analyzed
using two-tailed Mann-Whitney.
In order to examine whether the improved parasite control in DTx-treated
CD138-DTR chimeric mice was linked to enhanced GC responses, we distrupted CD4 T
cell-mediated co-stimulation by adminstering CD40L blocking antibody (clone MR1)
on days 8–11 p.i. Anti-CD40L treatment of DTx-treated mice reduced the
frequency and numbers of GC B and GC-TFH-like cells by 3 to 5-fold
and fully abrogated parasite control (Extended
Data Fig. 3e–g). Taken
together, these cellular, biochemical and genetic manipulations support that
blood-stage Pyinfection-induced CD138hi
plasmablasts suppress GC responses and contribute to increased parasite burden
during the acute phase of experimental malaria.
CD138hi plasmablasts are metabolically hyperactive
To gain insight into the potential mechanisms by which blood-stage
Py-induced CD138hi plasmablasts constrain GC
responses, we performed RNA-seq analysis on splenic CD138hi
plasmablasts, as well as activated (CD138loIgDneg) and
resting (CD138loIgDhi) B cell populations that are each
present on day 10 p.i. (Fig. 4a). Principal
component analysis (PCA) revealed that the three populations of B cells
clustered distinctly from each other (Fig.
4b) with resting and activated B cells more similar to each other
than CD138hi plasmablasts (Extended
Data Fig. 4a,b and Supplementary Table 1).
Of the 3600 genes that were differentially expressed among the populations,
multiple metabolism-related genes that play pivotal roles in the glycolytic and
citric acid cycle pathways were distinctly expressed in CD138hi
plasmablasts, compared to either activated or resting B cells (Fig. 4c and Supplementary Table 2,3). CD138hi
plasmablasts also exhibited 5-fold higher basal respiration compared to the
other two populations analyzed (Fig. 4d).
Notably, our RNA-seq data also showed that CD138hi plasmablasts
exhibit gene signatures consistent with induction of the unfolded protein
response pathway that is induced upon plasma cell formation[26, 31] (Extended Data Fig.
4c and Supplementary Table 4), further supporting that blood-stage
Pyinfection-induced CD138hi plasmablasts are
bona fide antibody secreting cells.
Fig. 4
Plasmablasts are metabolically hyperactive.
a, Gating strategy used for sorting plasmablasts and
activated and resting B cell populations from Py-infected mice
on day 10 p.i. that were used for bulk RNA-sequencing.
b,c, Principal component analysis (PCA) depicting
the clustering of transcriptomic data set from the three different B cell
populations (b) and heat maps showing relative expression levels of
different genes involved in glycolytic pathway (c, left) and
citrate cycle pathway (c, right). d, Data comparing
basal respiration of the three splenic B cell populations sort-purified from
Py-infected mice on day 10 p.i. Data are means ±
s.e.m. for n = 4 technical replicates, representative of
n = 3 biologically independent experiments with similar
results with n = 4 wells/cell type and analyzed by one-way
ANOVA followed by Tukey’s multiple comparisons test.
e,f, Heat map showing relative expression levels
of various GLUT molecules (e) and network of various amino acid
transporter pathways generated using Ingenuity Pathway Analysis
(f). g, mRNA expression levels (relative to
Hprt) of plasmablast specific genes
(Prdm1, Xbp1s), B cell lineage gene
(Pax5) and L-glutamine transporter molecules
Slc1a4, Slc1a5, and Cd98 (Slc3a2
and Slc7a5). Data are means ± s.e.m. for n
= 4 mice, representative of n = 2 biologically independent
experiments with similar results using n = 2 technical
replicates and analyzed by two-tailed Mann-Whitney. h,
i, Frequency (h) and geometric mean fluorescence
intensity (i) of CD98 expression on the indicated B cell
populations isolated on day 10 p.i. Data are means ± s.d., representative
of n = 2 biologically independent experiments with similar
results using n = 4 mice and analyzed by one-way ANOVA. Symbols
in b, d, g, h and i represent individual wells/mice. For panels a-c, e and f,
n = 4 mice with data acquired from one experiment and
analyzed by two-way ANOVA (FDR < 0.05 and fold change < −2
> 2).
Extended Data Fig. 4
Differentially expressed genes among splenic B cell populations
a, Venn diagram showing differentially expressed genes
assessed by RNA-seq among the three splenic B cell populations on day 10
p.i. Respective cell types were sort-purified from n = 4
Py-infected mice. Data were obtained from one RNA-Seq
experiment. Two-tailed ANOVA was used for identifying differentially
expressed genes. b, Heat map showing the relative expression of
all annotated genes assessed using RNA-Seq. c, Heat map showing
the relative expression of genes involved in the unfolded protein response
pathway (UPR).
We next sought to investigate factors associated with the increased
metabolism of CD138hi plasmablasts. B cell activation and
proliferation and increases in biomass require an ample supply of biomolecules
such as N, S, PO4 and C and the acquisition of amino acids,
especially L-glutamine (L-glut) [32,
33]. This requirement raised
the possibility that substantial numbers of CD138hi plasmablasts
triggered by blood-stage Pyinfection may deplete local
metabolic resources in the spleen. In support of this hypothesis, targeted
analysis of our RNA-seq data set revealed that multiple amino acid and nutrient
transporters were differentially expressed among the splenic B cell populations
(Fig. 4e and Supplementary Table 5). Ingenuity
Pathway Analysis (IPA) revealed broad activation of genes encoding solute
carrier (SLC) transporters that are involved in amino acid acquisition,
particularly L-glut (Fig. 4f). The
activation of these pathways was also associated with CD138hi
plasmablast metabolic hyperactivity and expression of Blimp-1, which is known to
promote the expression of amino acid transporters[28]. We confirmed the upregulation of a set
of L-glut SLCs, including mRNAs for Slc1a4 and
Slc1a5, which correlated positively with
Prdm1 and Xbp-1 and inversely with
Pax5 mRNA expression (Fig.
4g). We also confirmed elevated mRNA and protein expression of
Slc7a5 (CD98), another key SLC transporter that mediates
L-glut uptake[32, 33] (Fig.
4g–i). Together, these
data support the hypothesis that metabolically hyperactive CD138hi
plasmablasts utilize SLC protein family members to increase the uptake of
L-glut, which may in turn deplete key splenic metabolic resources required to
sustain GC responses.
Studies of Plasmodium-infected non-human primates and
patients in malaria endemic areas revealed significant reductions in plasma
L-glut concentrations during the acute phase of infection, which correlated with
poorer outcomes and increased parasite burdens[34]. Similarly, splenic L-glut
concentrations were reduced in Py-infectedmice (Extended Data Fig. 5a). Given their
numerical overrepresentation and increased expression of machinery required to
uptake L-glut, we hypothesized that blood-stage Pyinfection-induced CD138hi plasmablasts impede GC reactions by acting
as a nutrient sink, effectively incapacitating GC B and/or TFH cells.
To test this hypothesis, we supplemented the drinking water of
Py-infectedmice with L-glut (H2O+L-glut) and
monitored parasite growth and various immune parameters. Notably, mice receiving
ad libitum L-glut exhibited 65% lower total parasite burden
compared to mice on regular drinking water (Fig.
5a,b). There were no observable
impacts on parasite control when the drinking water was supplemented with either
the essential branched chain amino acid L-alanine or the non-essential neutral
amino acid L-valine (Extended Data Fig.
5b,c), which like L-glut is
transported by SLC1A5. Importantly, the protective effects of L-glut
supplementation required the presence of CD4+ T cells (Fig. 5c), functional TFH cells (Fig. 5d), and secreted antibody responses
(Fig. 5e). Disruption of GC reactions
via anti-CD40L also abrogated parasite control and GC B and TFH cell
responses in L-glut-treated mice (Extended Data
Fig. 5d–f). Thus,
enhanced parasite control in L-glut-treated mice was directly linked to improved
GC reactions and humoral immunity, and not simply impacting upon the general
physiology of either the host, host microbiome or the parasite itself.
Extended Data Fig. 5
L-glutamine enhances GC responses during experimental malaria
a, L-glut concentrations in the spleens of naive and
Py-infected wild-type mice on day 5 p.i. Data are means ± s.d.
representative of n = 2 biologically independent
experiments with similar results using n = 3 mice/group
analyzed by a two-tailed unpaired t test (DF = 4; t = 5.933).
b,c, Kinetics of parasite burden in mice
treated with either L-alanine (b, H2O + L-ala),
L-valine (c, H2O + L-val) or water starting on day 0
p.i. Data are means ± s.d., representative of n = 2
independent experiments with similar results using n = 3
mice/group. d-f, Py-infected wild-type mice were
treated with L-glutamine (H2O + L-glut) or water starting day 0
p.i. and subsequently treated with MR-1 (anti-CD40L) or Hamster IgG antibody
on days 8–11 p.i. Kinetics of parasite burden (d) and
frequency of GC B cells (e) and GC-Tfh cells (f)
on day 21 p.i. Data in d are means ± s.e.m, pooled from
n = 2 independent experiments with n =
7 mice/group. Data in e,f are representative of n = 2
biologically independent experiments with similar results using
n = 3 mice/group. g-m,
Py-infected wild-type mice were treated with L-glutamine (H2O +
L-glut) or water starting day 0 p.i. Kinetics of GC B cells
(g), class-switched GC B cells (h), plasmablasts
(i), and GC-TFH-like cells (j).
Data in g-j are means ± s.d., representative of n =
2 biologically independent experiments with similar results using n = 6
mice/group analyzed by two-tailed Mann-Whitney. k, gMFI of BCL6
on GC-TFH-like cells. Data are means ± s.d.,
representative of n = 2 biologically independent
experiments with similar results using n = 3 mice/group
analyzed by two tailed unpaired t test (DF = 4; t = 1.257).
Number of TH1 cells (l, Ly6C+CXCR3+IFNg+) and gMFI
of CD80 and CD86 expression on splenic dendritic cells (m,
MHCII+CD11c+) on day 10 p.i. Data in l,m are means ± s.e.m, pooled
from n = 2 biologically independent experiments with
n = 6 (H2O) and n = 7 mice
(H2O + L-glut) analyzed by two-tailed Mann-Whitney.
n,o, Kinetics of parasite burden
(n) and area under curve as a measure of total parasite
biomass (o) in Py-infected wild-type mice treated with
L-glutamine (H2O + L-glut) starting on day 6 p.i. Data in n are
means ± s.d., representative of n = 2 biologically
independent experiments with similar results using n = 4
mice/group. Data in n analyzed using two-way ANOVA with Sidak’s
multiple comparison (DF = 5; F = 5.728). Data in o analyzed with two-tailed
Mann Whitney. p,q, Kinetics of parasite burden
(p) and area under curve (q) as a measure of
total parasite biomass in Py-infected wild-type mice treated with
L-glutamine (H2O + L-glut) starting day on 10 p.i. Data in p,q
are means ± s.d., representative of n = 2
independent experiments with similar results using n = 4
mice/group analyzed by two-tailed Mann Whitney. Symbols in a, l-q represent
individual mice.
Fig. 5
L-glutamine supplementation enhances germinal center responses.
a-n, Mice of the indicated genotypes were
either left untreated (H2O) or treated with L-glutamine supplemented
water (H2O + L-glut) starting on day 0 p.i.
a,b, Kinetics of parasite burden (a)
and area under curve as a measure of total parasite biomass (b).
Data are means ± s.d., representative of n = 3
biologically independent experiments with similar results using
n = 4 mice/group. Data in a were analyzed using a two-way
ANOVA with Sidak’s multiple comparison test (DF = 6; F = 6.542).
c, Kinetics of parasite burden in wild-type mice treated with
either GK1.5 or rIgG on days 5 and 7 p.i. Data are means ± s.e.m., pooled
from n = 2 biologically independent experiments with
n = 6 (H2O+L-glut+GK1.5, H2O+GK1.5
and H2O+rIgG) and n = 7 mice
(H2O+L-glut+rIgG). d, Kinetics of parasite burden in
CD4-Cre x Bcl6 mice. Data
are means ± s.e.m., pooled from n = 2 biologically
independent experiments with n = 7 mice/group. e,
Kinetics of parasite burden in
Aicda−/−μS
mice. Data are means ± s.e.m, pooled from n = 2
biologically independent experiments with n = 6 mice/group.
f,g, Numbers of splenic GC B cells
(f) and GC-TFH-like cells (g) on day 12
p.i. in Py-infected mice. Data are means ± s.e.m, pooled
from n = 2 biologically independent experiments with
n = 6 mice/group. h,i,
Anti-MSP119 IgG serum titers on days 12 and day 15 p.i. Data in
h,i are means ± s.e.m, pooled from n = 2 biologically
independent experiments with n = 6 (h), n = 9
(i, H2O) or n = 8 mice mice/group (i, H2O
+ L-glut). j-m, Confocal micrographs (j, scale bars,
500 μm), numbers of B cell follicles (k,
n = 8, H2O; n = 7 mice,
H2O + L-glut), number of GL7+ B cell follicles
(l, n = 7 mice/group) and the surface area of
B cell follicles per focal area (m, n = 58 foci,
H2O; n = 78 foci, H2O+L-glut) in the
spleens of mice on day 12 p.i. Data in k-m are means ± s.e.m, pooled from
n = 2 biologically independent experiments.
n,o, Oxygen consumption rates (n) and
basal respiration (o, minutes 0–20) of plasmablasts and
activated B cells isolated on day 10 p.i. Data in n,o are means ± s.e.m.,
representative of n = 2 biologically independent experiments
with similar results using n = 5 (PB, H2O; activated
B cells H2O+L-glut) and n = 6 (activated B cells,
H2O; PB, H2O+L-glut) technical replicates using 2.5
× 105 cells/well sorted from n = 3
mice/group. Symbols in b, f, g, h, i, k and l represent individual mice. Symbols
in m and o represent technical replicates. Data in m were analyzed using a
two-tailed unpaired t test (t = 2.505, df = 134). Data in f, g,
h, i, k, l and o were analyzed with two-tailed Mann-Whitney.
Consistent with the requirements for secreted antibody and
TFH cells for enhanced parasite control following L-glut
treatment, we observed higher magnitude GC B cell responses that appeared with
accelerated kinetics (Fig. 5f and Extended Data Fig. 5g), as well as elevated
numbers of class switched GC B cells in the spleen as early as day 12 p.i.
(Extended Data Fig. 5h). While the
numbers of CD138hi plasmablasts were not significantly affected
(Extended Data Fig. 5i), L-glut
supplementation also increased the numbers of GC-TFH-like cells by
day 12 p.i. (Fig. 5g and Extended Data Fig. 5j), but did not alter Bcl-6
expression within these cells (Extended Data Fig.
5k). The accelerated and enhanced GC B cell and TFH cell
responses also translated into higher serum titers of MSP119-specific
IgG on both days 12 and 15 p.i. (Fig.
5h,i). Histological analyses
confirmed L-glut treatment enhanced the retention of splenic/follicular
architecture and elevated the number and size of GCs (Fig. 5j–l). L-glut supplementation did not enhance either TH1-like
cell responses or the activation status of splenic dendritic cells (Extended Data Fig. 5l,m), although these data do not formally exclude a
potential role for their contribution to enhanced parasite control.To investigate whether L-glut supplementation altered the metabolic
status of splenic B cells, we sorted CD138hi plasmablasts and
activated (CD138loIgDneg) B cells, which includes both
activated FO and MZ B cells, from spleens of Py-infectedmice
receiving either regular or L-glut supplemented water and measured oxygen
consumption rates (OCR) (Fig. 5m). L-glut
supplementation increased the basal OCR of activated B cells, but not
CD138hi plasmablasts (Fig.
5n). Notably, L-glut could enhance parasite control when administered
as late as day 6 p.i. (Extended Data Fig.
5n,o), but the protective
effects were not observed when L-glut administration was initiated after the
peak numerical expansion of plasmablasts (day 10 p.i.) (Extended Data Fig. 5p,q). Collectively, these data are consistent with the notion that
CD138hi plasmablasts, by virtue of their metabolic hyperactivity
and their potential to uptake L-glut, transiently impair the metabolic and
optimal functions of other splenic B cell populations. Thus, L-glut, when
delivered either prophylactically or therapeutically, may relieve GC B and
TFH cells from nutrient deprivation to enhance their numbers and
functions.
Plasmablast deletion and L-glutamine are functionally redundant
The deletion of plasmablasts and L-glut treatment both reduce
parasitemia, increase the GC response and boost the activation of B cells as
measured by OCR. To test whether these phenotypes are connected, and determine
whether CD138hi plasmablasts deletion and L-glut administration are
functionally overlapping, we administered L-glut to DTx-treated CD138-DTR
chimeric mice (Extended Data Fig. 6). As
expected, both L-glut and DTx-treatment independently enhanced parasite control
(Fig. 6a) and elevated the number of GC
B cells (Fig. 6b) and
GC-TFH-like cells (Fig. 6c).
However, these effects were not further enhanced when L-glut and DTx were
combined (Fig. 6a–c). Furthermore, the metabolic activity of activated
splenic B cells was elevated 8 to 12-fold in mice treated with either L-glut or
DTx, yet the basal oxygen consumption was only minimally enhanced (~10%) when
these treatments were combined (Fig. 6d).
Taken together, these data suggest that CD138hi plasmablast deletion
and L-glut supplementation are functionally redundant, which additionally
supports the model that CD138hi plasmablasts may serve as a key
glutamine sink during blood-stage Plasmodiuminfection.
Extended Data Fig. 6
Experimental design for treating CD138-DTR: WT chimeras with
L-glutamine
Eight weeks after engraftment, mice were infected with Py and
treated with L-glut or water starting on day 0 p.i. Mice were subsequently
treated with either DTx or PBS on days 5 and 7 p.i. to delete
plasmablasts.
Fig 6.
Plasmablast deletion and L-glutamine are functionally redundant.
a-e, Py-infected CD138-DTR
bone marrow chimeric mice were either left untreated (H2O) or treated
with L-glutamine supplemented water (H2O + L-glut) starting on day 0
p.i. Mice were subsequently treated with either vehicle (PBS) or diphtheria
toxin (DTx) on days 5 and 7 p.i. Kinetics of parasite burden (a)
and numbers of splenic GC B cells (b) and GC-TFH-like
cells (c) on day 21 p.i. Data are mean ± s.e.m, pooled from
2 biologically independent experiments with n = 6 mice/group.
Oxygen consumption rates (OCR) of activated B cells isolated from indicated
groups on day 10 p.i. (d) and summary graph of basal respiration
(e, minutes 0–20) among treatment groups. Data are means
± s.e.m., representative of n = 2 biologically
independent experiments with similar results using n = 4
(H2O+DTx and H2O+L-glut+DTx) and n =
6 technical replicates (H2O+PBS and H2O+L-glut+PBS) with
2.5 × 105 – 1 × 106 cells/well sorted
from n = 4 mice per group. Symbols in b and c represent
individual mice. Symbols in e represent technical replicates. Data were analyzed
with either a two-way ANOVA with Tukey post hoc test (a, DF = 18; F = 8.789) or
two-tailed Mann Whitney (b-d).
Plasmablast deletion and L-glutamine improve immune memory
GC responses result in the production of LLPCs and MBCs that mediate
protection against pathogen re-infection[5]. Accelerated and higher magnitude TFH and GC
reactions in DTx- and L-glut-treated mice are thus predicted to translate into
increased numbers of MBCs, LLPCs and heightened resistance to a heterologous
challenge with a lethal species of Plasmodium parasite,
P. berghei-ANKA (PbA). In support of this
notion, kinetic analyses revealed higher frequencies and numbers of
(CCR6+CD38+)[35] MBCs in both DTx- (Fig.
7a) and L-glut-treated (Fig. 7d)
mice between days 10 and 60 p.i. DTx- and L-glut-treated mice also exhibited
elevated LLPC responses, whether these were measured using functional ELISPOT
assays (Fig. 7b,e) or flow cytometry (Extended Data Fig. 7a,b). Mice
treated with either DTx (Fig. 7c) or L-glut
(Fig. 7f) during a primary
Pyinfection were also more resistant to lethal
PbA challenge, compared to their control counterparts. Of
note, radiation chimeras are more resistant to lethal PbA
challenge, which may explain the extended survival among both PBS- and
DTx-treated chimeric mice, relative to the H2O- and
H2O+L-glut-treated mice. Finally, we observed that MBC (Extended Data Fig. 7c) and LLPC (Extended Data Fig. 7d) responses were not
enhanced when L-glut is adminstered from days 16–21 p.i., which is
consistent with the therapeutic window during which L-glut functions to enhance
parasite control (days 6–10 p.i.). Thus, the mechanisms by which L-glut
promotes MBC and LLPC formation are likely linked to the enhanced function of
the GC reaction and not strictly connected to enhancements in the post-GC
survival of these cell subsets. Collectively, these data show that either
CD138hi plasmablast deletion or therapeutic administration of
L-glut during an established blood-stage Plasmodiuminfection
can be sufficient to accelerate the formation and increase the magnitude of GC
reactions, which are further associated with enhancements in MBC, LLPC and
protective immune memory responses.
Fig 7.
Plasmablast deletion and L-glutamine enhance humoral immune memory.
a-c, Py-infected CD138-DTR
bone marrow chimeras were treated with vehicle (PBS) or diphtheria toxin (DTx)
on days 5 and 7 p.i. Kinetics of splenic memory B cells (a) and
bone marrow antibody-secreting cells (b). Data in a,b are means
± s.e.m., pooled from n = 2 biologically independent
experiments with n = 4 (day 60) and n = 6
mice/group (days 10, 15 and 21). c, Survival of mice challenged
with Pb-Anka 30 days after an initial
Py infection. Data are pooled from 2 biologically
independent experiments with n = 7 (DTx) and n
= 8 mice (PBS). d-f, Py-infected
wild-type mice were either left untreated (H2O) or treated with
L-glutamine supplemented water (H2O + L-glut) starting on day 0 p.i.
d, Kinetics of splenic memory B cell responses. e,
Kinetics of bone marrow antibody-secreting cells. Data in d,e are means ±
s.e.m., pooled from n = 2 biologically independent experiments
with n = 6 mice/group. f, Survival of mice
challenged with Pb-Anka 30 days after an
initial Py infection. Data are pooled from n =
2 independent experiments with n = 10 mice/group. Data in a, b,
d, and e, were analyzed with two-tailed Mann Whitney. Data in c and f were
analyzed with Mantel-Cox.
Extended Data Fig. 7
Post-GC administration of L-glutamine does not appreciably enhance LLPC
and MBC responses
a, Gating strategy for long lived plasma cells (LLPCs)
in the bone marrow of Py-infected mice. b, Numbers of LLPCs in
the bone marrow on day 60 p.i. from Py-infected mice treated with either
L-glutamine (H2O + L-glut) or water (H2O). Data are
means ± s.e.m., pooled from n = 2 biologically
independent experiments with n = 7 mice/group analyzed by
two-tailed Mann Whitney. c,d, Py-infected
wild-type mice were treated with either L-glutamine (H2O +
L-glut) or water (H2O) at indicated time points p.i. and analyzed
on day 30 p.i. Numbers of splenic memory B cells (c,
CCR6+CD38+) and representative ELISPOT wells and summary data
(d) demonstrating number of antibody-secreting LLPCs in the
bone marrow. Data in c,d are means ± s.e.m,
pooled from n = 2 biologically independent experiments with
n = 5 (d, days 6–10) and n = 6
mice (remaining groups) analyzed by two-tailed Mann Whitney. Symbols
represent individual mice.
Robust plasmablast expansions during acute human malaria
To identify potential parallels between CD138hi plasmablast
inductions in mice and plasmablast expansions during acute humanmalaria, we
evaluated peripheral B cell responses in forty humans in P.
falciparum blood-stage volunteer infection studies (VIS). Cohorts
of malaria-naïve subjects were challenged with P.
falciparum (Pf)-infected RBCs and blood parasite
burdens were monitored by qPCR at regular intervals until the end of the study
(EOS) on day 27–36 p.i. (Extended Data
Fig. 8). Subjects were treated with a schizonticidal drug when the
infection reached ~20,000 parasites/mL, at day 8 p.i. Importantly, acute
blood-stage P. falciparum infection resulted in transient yet
substantial increases in the frequencies of
CD19+CD3−CD27+CD38+
plasmablasts by day 14/15 p.i, with some subjects exhibiting plasmablast
responses that comprised greater than 15% of their entire peripheral B cell pool
(Fig. 8a). Notably, the magnitude of
plasmablast expansion was positively correlated with total parasite biomass
(Fig. 8b). These clinical data show
that plasmablast responses are robustly induced in malaria-naïve humans
at their first exposure to P. falciparum in a way similar to
experimental murine models of malaria.
Extended Data Fig. 8
Experimental design for the volunteer infection study
Two thousand eight hundred viable P. falciparum
infected RBCs were intravenously into malaria naïve healthy
volunteers (n = 36 men, n = 4 women). On day 8 p.i.,
volunteers received anti-malarial drug treatment. On days 0, 8 (treatment
day), 14/15 and 27/28/36 (end-of-study, EOS), blood samples were collected
and plasmablasts were assessed by flow cytometry.
Fig 8.
Positive correlation between parasite burden and plasmablasts in human
malaria.
a, Plots (left panel, gated on
CD19+CD3− cells) and summary graph (right
panel) showing the kinetics of plasmablasts in the peripheral blood of
volunteers drawn on the indicated days during the course of the study. Boxplots
are median ± IQR, whiskersare data range to 1.5 × IQR analyzed by
two-sided Wilcoxon matched-pairs signed rank tests. b, Correlation
graph showing the relationship between parasite burden on day 15 (area under
curve, AUC) and the increase in plasmablasts numbers from day 0 to day 15 (delta
PB-day 15). Data were analyzed by two-tailed Spearmans rho. Data in a,b derive
from n = 36 men and n = 4 women from 4 studies
across 6 independent cohorts.
Together, our observations in P. falciparum-infectedhumans, in combination with our rodent data, support the hypothesis that in
malaria-naïve hosts the initial B cell activation events are numerically
dominated by extrafollicular plasmablasts/CD138hi B cells.
Futhermore, our cellular, genetic and biochemical approaches support that
plasmablasts functionally constrain germinal center responses and limit the
induction of LLPC and MBC populations by acting as a metabolic sink that limits
L-glut availability during experimental malaria.
Discussion
Rapidly forming, short-lived extrafollicular plasmablasts play complex roles
in humoral immunity and host protection. Indeed, it is widely accepted that
plasmablasts can provide an early source of protective antibody during bacterial
infections[36, 37]. Similar to LLPCs, short-lived plasmablasts
express Blimp-1 and are equipped with the machinery to secrete antibodies[1]. However, there are also data
suggesting that plasmablasts may either inefficiently prime or directly inhibit
TFH cell activation and function[38, 39, 40], which may limit autoreactivity and tune the
selection of B cell clones expressing the highest affinity receptors. While our data
do not exclude the possibility that blood-stage Plasmodiuminfection-induced plasmablasts directly impair TFH cell responses, our
results show that either abrogation of plasmablast differentiation or deletion of
plasmablasts during an established experimental Plasmodiuminfection resulted in enhanced clearance of the parasite, which was associated with
10-fold increases in the magnitude of the GC response. Our observations in mice are
further supported by our P. falciparum VIS trials where substantial
plasmablast expansions occured and were positively correlated with parasite burdens.
Distinct from previous work showing immunosuppressive roles for either plasmablasts
or plasma cells[38, 39] our data reveal CD138hi
plasmablast populations comprise the dominant proportion of the total activated B
cell pool following blood-stage Plasmodiuminfections. Thus, their
overrepresentation may be a cardinal feature of blood-stage
Plasmodiuminfections and potentially other infections of the
blood that are associated with systemic inflammation, eryptosis, hemolysis, anemia
and impairments in durable humoral immunity.Plasmablast numbers have stood as a surrogate for protective
immunity[41]. However, our
assays revealed that few (~1%) plasmablasts express receptors that detectably
interact with parasite antigens and that plasmablasts constrain rather than promote
humoral immunity. Our efforts to identify potential mechanisms by which
CD138hi plasmblasts constrain GC-dependent MBC and LLPC formation
revealed links to their metabolism. From a cell biological perspective,
Plasmodium-infection induced plasmablasts resemble a transient
plasmablastic lymphoma similar to diffuse large B cell lymphoma (DLBCL)
characterized by downregulation of tumor suppressor genes and upregulation of genes
that promote tumorigenesis. Moreover, tumor cells[42, 43]
and plasmablasts express an array of SLC molecules, likely to help meet the
metabolic demands of their high rates of proliferation and increases in cellular
biomass. It has also been reported that cancer cells are ‘addicted’ to
glutamine and are capable of acting as a metabolic ‘sink’[44]. Thus, we hypothesized that the
large numbers and increased metabolic demands of plasmablasts together with their
high expression of SLC molecules may cause energetic and metabolic shortfalls for
other effector B cells in the spleen, which may in turn functionally incapacitate
and/or delay the development of GC response. Consistent with this hypothesis, our
studies show that supplementing the drinking water of Py-infectedmice with L-glut could relieve an apparent plasmablast-mediated state of nutrient
deprivation and elevate GC, MBC and LLPC responses. Our kinetic studies revealed a
critical window during which L-glut supplementation can augment GC-dependent humoral
immunity, which temporally overlaps with the expansion and maximal accumulation of
Plasmodiumblood-stage infection-induced plasmablasts. Thus,
although both plasmablasts and GC B cells may exhibit similar metabolic
requirements, the over-representation of plasmasblasts likely deprives GC B cells of
critical nutrients required for their development and function. Future studies will
be required to determine whether plasmablast deletion and associated changes in
metabolic fitness of GC B cells also impact either B cell antigen receptor affinity
maturation or epigenetic programming of MBCs and LLPCs. Although
13C-L-glutamine tracing studies designed to show that plasmablasts sink
glutamine in vivo are warranted, these studies are confounded by
the time required for tissue processing and cell sorting. Nevertheless, the
composite of data support the model that plasmablasts serve as a key glutamine sink
during blood-stage Plasmodiuminfection and the hypothesis that
alternative, metabolism-based strategies may have clinically relevant applications
for malaria.Previous studies reported that dietary supplementation of L-arginine
enhanced T cell responses in rodents during lethal Plasmodiuminfection[45] and that
inhibiting glutamine metabolism with 6-diazo-5-oxo-L-norleucine (DON) improved
survival and prevented the onset of experimental cerebral malaria (ECM) in mice
challenged with Pb-ANKA[46]. No mechanisms were identified in the L-arg study and the
latter report primarily attributed the effects of DON to inhibition of
CD8+ T cell degranulation, a key function that drives the onset of
ECM. During experimental Plasmodium yoelii and
Pb-ANKA infections truncated with anti-blood-stage drugs, neither
of which cause CD8+ T cell-mediated immunopathology and ECM,
CD8+ T cells were robustly activated[22] and contribute to host protection[47]. Thus, our data do not exclude the
possibility that an enhanced parasite-specific CD8 T cell response also contributes
to the improvements in host resistance to Plasmodium during L-glut
supplementation. We predict that strategies to specifically inhibit L-glut uptake by
plasmablasts would yield results similar to those we observed when we either
abrogated plasmablast development or deleted these cells using genetic approaches.
However, at present we know of no way to block either glutamine uptake or
glutaminolysis specifically in plasmablasts. Nevertheless, our data and the
experiments with L-arg and DON during experimental malaria highlight critical roles
for immune cell metabolism and warrant the further exploration of strategies to
modulate these cell biological processes in specific cell types.In summary, our data support the model that during blood-stage
Plasmodiuminfection, B cell differentiation is biased towards
metabolically hyperactive, short-lived plasmablast responses that by their sheer
numbers constrain GC reactions, likely due to glutamine deprivation. The
preferential induction of extrafollicular, immunosuppressive plasmablasts represents
an additional mechanism by which Plasmodium parasites subvert host
protective immunity. Thus, the identification of an expansion of immuno-inhibitory
plasmablasts during Plasmodiuminfection represents a conceptual
shift with implications for either future immune- or metabolism-based strategies
designed to limit plasmablast expansions, which may ultimately contribute to the
development of durable humoral immunity against malaria.
Methods
Volunteer infection studies
P. falciparum blood-stage Volunteer infection trials
(VIS), inoculum preparation, volunteer recruitment, infection, monitoring and
treatment were performed as previously described[48]. In brief, healthy malaria-naive
individuals (n = 36 men, n = 4 women)
underwent induced blood-stage malaria inoculation with 2800 viable P.
falciparum 3D7-parasitized RBCs, and peripheral parasitemia was
measured at least daily by qPCR as described previously[49]. Participants were treated with
antimalarial drugs at day 8 of infection. Blood samples from 40 volunteers (from
4 studies across 6 independent cohorts) were collected prior to infection (day
0), at peak infection (day 8) and 14 or 15 and 27–36 days (end of study,
EOS) after inoculation (in analyses these time points are grouped as 0, 8, 14/15
and EOS). Plasma was collected from lithium heparin whole-blood samples
according to standard procedures, snap frozen in dry ice and stored at
−70°C. B-cells were analyzed from fresh whole blood at time of
collection. All studies were registered with US NIH ClinicalTrails.gov (NCT02867059, NCT02783833, NCT02431637[50],
NCT02431650[50]). Participants were healthy adults 18 and 55 years with no
prior exposure to malaria or residence in malaria-endemic regions. Area under
the curve (AUC) were calculated using the trapezoidal method on serial
log10 transformed parasites/mL data from 4 days p.i. to each of
the three defined timepoints (8, 14/15, and EOS similar to previously
described[51]. Equation
1 below describes the calculation, with being each time point sampled, being the
log10 parasites/mL at that time, and being either 8 p.i., 14/15
p.i., or EOS. Samples where parasitaemia was not detected were substituted with
0 on the log10 scale. The samples collected between the 4 defined
timepoints (ranging from daily to twice daily before treatment, ranging from
daily to every 2 h after treatment, and ranging from every four days to daily
between timepoint 14/15 and EOS) were used in the calculation of AUC but not in
any other analyses.
Study approval
Written informed consent was obtained from all participants. Ethics
approval for VIS and the use of human samples was obtained from the Human
Research and Ethics Committee of the QIMR-Berghofer Institute of Medical
Research and Alfred Human Research and Ethics Committee for the Burnet
Institute.
Animals, infections and parasitemia quantification
The University of Iowa IACUC approved all experiments. C57BL/6 WT
(CD45.2 and CD45.1), Blimp-1eYFP (JAX stock #008828), μMT (JAX stock
002288) and Rosa26-ERT2/Cre (JAX stock 008463) mice were
purchased from Jackson Laboratories.
Aicda−/−μs−/−
mice were a gift from F. Lund (UAB). CD138-DTR mice were generated via
CRISPR/Cas9 editing at the U of Iowa genome editing facility. Male and female
mice were used in all experiments, sex-matched only for adoptive transfers and
generating chimeras. Plasmodium yoelli (clone 17XNL, obtained
from MR4, ATCC) and Plasmodium berghei (clone ANKA, obtained
from MR4, ATCC) stocks were generated by single passage in NIH Swiss Webster
mice. Infections in experimental mice were initiated by a serial transfer (i.v.)
of 1 × 106 parasitized red blood cells (pRBCs) derived from a
single donor C57BL/6 mouse. In some experiments, Py-infectedmice were treated (i.p.) daily (days 8–11 p.i.) with 500 μg of
either anti-CD40L (clone MR1) or Armenian Hamster IgG. CD4 T cell depletion was
achieved by administering (i.p.) 200 μg of anti-CD4 antibody (clone
GK1.5, BioXcell) on days 5 and 7 p.i. Parasitemia was measured using flow
cytometry and is also depicted as area under the curve (AUC), which is a
composition of parasite growth, peak burden and clearance kinetics[5253].
CD138hi adoptive transfers
Splenic CD138hi B cells were enriched on day 5 p.i. using
anti-CD138-APC (clone 281–2, BioLegend) and anti-APC magnetic beads
(Miltenyi). CD19+CD138hiIgDneg plasmablasts and
CD19+CD138loIgDneg activated B cells were
sort purified. 1–2 × 106 cells were transferred i.v. to
mice on day 7 p.i. Mice that did not receive cells were given 200 μL of
PBS i.v. on day 7. Sera and spleens were harvested from recipients on day 21
p.i. (day 14 post-transfer). Parasitemia was monitored every 2–3 days
p.i.
Electron Microscopy
Electron microscopy was performed by the Central Microscopy Research
Facility personnel at the University of Iowa. Images were captured on JEOL JEM
1230.
Confocal Imaging
After harvest, spleens were passed through a sucrose gradient (10% for 1
h, 20% for 2 h, 30% for 3 h) and flash frozen in Tissue Freezing Medium (General
Data TFM-5) using a Gentle Jane Snap Freezer. 10 μm sections were cut and
dried for 45 min in a 37 °C dry incubator. The sections were soaked in
ice-cold Zinc Formalin Fixative (Sigma) for 15 min at −20°C then
washed in 1× PBS (3 min/ wash). Sections were blocked with 1% BSA in
1× PBS for 2 h at 25 °C. After a 5-min wash in 1× PBS,
sections were stained with the primary antibodies (in 1% BSA in 1× PBS)
for 24 h at 4 °C. Sections were washed in 1× PBS (3 min/ wash)
then mounted using hard set mounting medium for fluorescence (VECTASHIELD
H-1400). Sections were stained with B220-AF488 (5 μg/ml; clone
RA3–6B2, eBioscience), CD4-AF594 (10 μg/ml; clone GK1.5,
BioLegend). GL7-AF647 (6.67 μg/ml; BD Pharmingen), and CD138-BV421 (1.67
μg/ml; clone 281–2, BioLegend). Imaging was done using a Zeiss
LSM710 confocal microscope and processed using IMARIS x64 software (version
9.2.1).
Bone marrow chimeras
For generation of Rosa26-ERT2/Cre Prdm1fl/fl
: μMT chimeras, WT recipient (CD45.1) mice were irradiated with 475 rads
twice separated by 4 h. Bone marrow cells from Rosa26-ERT2/Cre
Prdm1 (CD45.2) and μMT
(CD45.1) were mixed 1:9 and 1 × 107 cells were injected i.v.
Mice were maintained on Uniprim diet (Envigo) for 2–3 weeks. Chimerism
was assessed at 6 weeks and mice were infected with 106
Py parasitized RBCs by 8 weeks. On days 5 and 7 post infectionmice were either treated orally using a gavage needle, with 100 μL
tamoxifen (4 mg/mouse) or corn oil. Depletion of plasmablasts was assessed on
day 10.For generation of CD138-DTR chimeras, WT (CD45.2) mice were irradiated
with 475 rads twice separated by 4 h. 1 × 107 cells bone
marrow cells from CD138-DTR mice were injected i.v. Mice were maintained on
Uniprim diet (Envigo) for 2–3 weeks. Chimerism was assessed at 6 weeks
and mice were infected with 106
Py parasitized RBCs. On days 5 and 7 post infectionmice were
treated i.p. with either diphtheria toxin or PBS intraperitonially. Depletion of
plasmablasts was confirmed on day 10 p.i. For Rosa26-ERT2/Cre
Prdm1fl/fl: μMT : WT chimeras, bone marrow cells
from Rosa26-ERT2/Cre Prdm1fl/fl (CD45.2), μMT
(CD45.1), WT (CD45.1) were mixed at 1:8:1 and 107 cells were injected
i.v into Rag1−/− mice irradiated with
475 rads. Mice were maintained on Uniprim diet as above. Chimerism assessements,
infections and tamoxifen treatments were as described above.
Tamoxifen and diphtheria toxin preparation and treatment
1 g of dessicated Tamoxifen (Sigma T5648) was dissolved in 5 mL of 200
proof ethanol, mixed with 20 mL of corn oil and stored at −20°C.
On days 4, 5, and 6 post Pyinfectionmice were administered
100 μL (4 mg/ mouse/dose) of the Tamoxifen corn oil mixture via oral
gavage. 1 mg of lyophilized DTx (Sigma D0564) was resuspended in 3 mL of sterile
PBS to achieve a concentration of 0.33 mg/mL. Mice were treated i.p. with 250 ng
of DTx on the indicated days.
RNA Seq and GSEA
The three different B cell populations (resting B cells, activated B
cells and plasmablasts) were flow-sorted from 4 Py-infectedmice on day 10 p.i and RNA was extracted using NucleoSpin RNA kit (Takara Bio
USA Inc.) according the manufacturer’s protocol. RNA sample integrity and
quantity were determined using Tape Station Bioanalyzer (Agilent), with all
samples showing RNA integrity numbers > 8. Twenty ng of total RNA was
used for each library. Strand-specific RNA-Seq library was created using
Illumina library creation protocol. The indexed libraries were pooled and
sequenced using an Illumina NextSeq 550 sequencer using paired-end chemistry
with 50 base pair (bp) read length Gene Expression Omnibus record: GSE134548.
The quality of sequence reads was assessed using FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/) and
were aligned using STAR aligner[54] to the mouse genome version mm10 and the corresponding
transcriptome. Following read alignment, gene expression profiles were computed
using featureCounts[55]. Next,
differentially expressed genes were identified using Partek GS software and
genes with significant changes were filtered using adjusted
P-value of 0.05 as threshold. Visualization of differentially
expressed genes represented as heat maps were generated using Partek GS
software. Further, Ingenuity Pathway Analysis software (Qiagen Bioinformatics)
was used to identify the underlying molecular pathways and interaction networks
that involved the differentially expressed genes.
Quantitative Real Time PCR and Primers
The three different B cell populations (resting B cells, activated B
cells and plasmablasts) were flow-sorted from 4 Py-infectedmice on day 10 p.i. and RNA was extracted using NucleoSpin RNA kit (Takara Bio
USA Inc.) according the manufacturer’s protocol. Two micrograms of RNA
was used for cDNA synthesis. One microliter cDNA was added to 19 μL of
PCR mixture containing 2X PowerUp SYBR Green Master Mix and 0.2 μM of
forward or reverse primers. Amplification was performed in a QuantStudio3
thermocycler (Appiled Biosystems). Genes and forward and reverse primers are
shown in Supplementary Table
6. Cycle threshold (Ct) values were normalized to
those of the housekeeping gene hypoxanthine phosphoribosyltranferase
(Hprt) by the following equation:
ΔCt = Ct(gene of
interest) − Ct(HPRT). All results
are shown as a ration of HPRT calculated as
2.
ELISPOT
White polystyrene plates (Nunc Maxisorp) were coated with 0.5
μg/ml of either recombinant MSP119 or parasite infected red
blood cell lysate. Plates were washed with PBS and blocked for at least 2 h with
PBS/2.5% BSA/5% Goat Serum. Bone marrow cells or
CD19+CD138+IgDneg B cells sort-purified
from Py-infectedmice were used. Serial dilutions of cells in
supplemented IMDM were added to each well for 20 h at 37 °C with 5%
CO2. Following extensive washes with PBS/0.05% Tween 20,
HRP-conjugated goat anti-mouse IgM and IgG was added overnight at 4°C.
Spots were developed with 3-amino-9-ethylcarbazole.
Metabolic flux analysis
Flow-sorted B cell populations (resting B cells, activated B cells and
plasmablasts) from at least 3 Py-infected (day 10 p.i.) were
plated at 250,000 cells per well in poly-lysine coated Seahorse XF96 cell
culture microplate. Cells were allowed to adhere for 30 min to 1 h. OCR was
measured in modified DMEM containing 2 mM L-glutamine (XF media) under basal
conditions in a 96-well extracellular flux assay using a Xfe-96 (Seahorse
Bioscience). In experiments comparing metabolic activity of B cell populations
sorted from mice maintained on either regular water or water supplemented with
L-glutamine, the culture medium was devoid of L-glutamine.
Metabolite measurements
Frozen spleens from naïve and Py-infectedmice (∼40 mg)
were lyophilized, extracted and analyzed as described previously[56]. Briefly, gas
chromatography/mass spectrometry were utilized for biochemical detection of
metabolites by automated comparison of ion features in samples to a reference
library of chemical standards entries, including retention time, molecular
weight (m/z), preferred adducts, and in-source fragments as well as associated
MS spectra.
Amino acid supplementation
Drinking water of Py-infectedmice was supplemented (2.8 g/dL) with
either L-glutamine, L-valine or L-alanine (Sigma Aldrich) starting at the
indicated timepoints.
ELISA
Plates (Nunc Maxisorp) were coated either with 0.5 μg/mL
MSP119 (MR4) or 18 μg/mL total parasite lysate and blocked
with 2.5% BSA + 5% normal goat serum. After washing wells with ELISA wash buffer
(PBS+ 0.05% Tween 20; 250 μL/ well, 3 min/wash), serially diluted serum
samples from naïve and Py-infectedmice were added and
incubated for 18 h at 4 °C. Plates were washed and
MSP119-specific or parasite specific antibodies were detected with
HRP-conjugated goat anti-mouse IgG or IgG1 or IgG2b (in ELISA blocking buffer).
After washing, plates were developed with SureBlue reserve TMB Kit (KPL)
according to the manufacturer’s protocol and absorbance was at
OD450 using a Spectra Max 340 (Molecular Devices). End point
titers were extrapolated from sigmoidal 4PL (where X is log concentration)
standard curve for each sample. The threshold for end point titers is the mean
plus 4–8× s.d. recored for naïve mouse sera.For ex vivo CD138hiIgDneg B cell ELISA, 8 ×
104 CD19+CD138hiIgDneg
plasmablasts were sort purified from day 10 p.i. mice and cultured in
supplemented IMDM (10% FBS, 2 μM glutamine, 100 U/mL penicillin, 100
μg/mL streptomycin, 50 mM β-mercaptoethanol) in the presence of 5
ng/ml P. yoelii parasite lysates. Supernatants were recovered
after 3 days of culture. CD138hi B cell supernatants were diluted 1:2
and added to previously blocked total parasite lysate coated Nunc plates and
processed as described above.
Cell staining and Flow cytometry
For cellular analyses of splenic cells, mouse spleens were forced
through a 70 μm mesh to generate single-cell suspensions. The single-cell
suspension of splenocytes were subjected to red blood cells lysis, were counted
and resuspended at 106 cells/100 μL. Fc receptors were blocked
using Fc block/CD16/32 (clone 2.4G2) in FACS buffer (PBS+0.09% Sodium Azide +2%
FCS) for 15 min at 4 °C followed by cell specific staining protocols as
described below. For detecting GC-TFH-like cells, cells were stained
with purified rat α mouseCXCR5 (1:100; clone 2G8, BD Biosciences) in
TFH staining buffer (PBS+0.09% Sodium Azide +2% FCS+0.5%BSA+2%
mouse serum) for 1 h at 4 °C. Cell were washed in FACS buffer, spun at
300 × g for 5 min at 4 °C and resuspended in Biotin SP-conjugated
Affinipure Goat-anti-rat IgG (H+L) F(ab) (1:1000, Jackson Immunoresearch) in
TFH staining buffer and incubated for 30 min at 4 °C. Cell
were washed in FACS buffer, spun at 300 × g for 5 min at 4 °C and
resuspended in an antibody cocktail containing CD4-PercP Cy5.5 (1:300; clone
GK1.5; BioLegend), CD44-AF700 (1:1000; clone IM7; BioLegend), CD11a-FITC (1:300;
clone M17/4; BD Biosciences), PD-1-PE or PE-Cy7 (1:300; clone RMP1–14;
BioLegend) and streptavidin-BV421 (1:500) and incubated 30 min at 4 °C.
The cells were washed with FACS buffer as before and resuspended in FACS buffer
before acquisition. For B cell staining, cell were stained with rat anti-mouseB220-PercP-Cy5.5 (1:300; clone RA3–6B2; BioLegend), rat anti-mouse
CD19-AF700 or PE (1:300; clone 6D5; BioLegend), rat anti-mouseIgD-Pac Blue or
BV510 (1:500; clone 11–26c.2a; BioLegend), rat anti-mouseCD138-APC or
Pac Blue (1:250; clone 281–1; BioLegend) (for plasmablast staining); rat
anti-mouse GL7-PE (1:300; BioLegend) and hamster anti mouse CD95-FiTC (1:300;
clone Jo2; BD Biosciences) (for GC B cell staining); rat anti mouse CD23-PE Cy7
(1:300; clone B3B4; BioLegend) and rat anti-mouse CD21-APC (1:300; clone 7E9
BioLegend) (for marginal zone B cell staining). For human B cell staining, 200
μl of blood was stained with surface antibodies to CD19 (FITC, clone
HIB19), CD27 (AF700, clone M-T271) CD38 (BV785, clone HIT2).
BrdU and FLICA Staining
BrdU (Sigma) was injected i.p. at 2 mg and supplemented in the drinking
water at 0.8 mg/ml from days 6–10 p.i. FLICA reagent was prepared and
added to cells according to manufacturer’s instructions (Thermofisher).
For BrdU staining, cells were permeabilized, treated with 3 μg/mL DNAse
(Invitrogen) and subjected to intracellular staining with either anti-BrdU-FITC
(clone PRB-1) or mouse IgG1-FITC.
Statistical Analysis
Statistical analyses, end point titers, and overall parasite burden,
represented as area under the curve for rodent studies were performed using
GraphPad Prism 6 software (GraphPad). Specific tests of statistical significance
are detailed in the figure legends.
Data Availability Statement
The data that support the findings of this study are available as Source
Data files and from Gene Expression Omnibus GSE134548. All data are available
from the corresponding author upon request.
a, Gating strategy for identifying plasmablasts
(CD138hiIgDneg), activated
(CD138loIgDneg) and resting B cells
(CD138loIgDhi). b, kinetics of PB in
blood. Data are means ± s.d, representative of n = 2
biologically independent experiments with similar results using
n = 3 mice/time point. c,
CD138hiIgDneg plasmablasts were sort-purified from
Py-infectedmice on day 10 p.i., cultured for 20 hours
and parasite lysate-specific IgM and IgG secreting ASCs were detected.
Representative wells of ELISPOT assay. d, Relative CD19
expression by CD138hiIgDneg plasmablasts on days 7,
10, and 14 post Pyinfection. Data are representative of
n > 5 experiments with similar results.
e, BrdU incorporation in
CD138hiIgDneg plasmablasts was assessed on day 10
p.i. Histogram represents BrdU staining, solid gray histogram is isotype
(mouse IgG1). Data are representative of n = 2 experiments
with similar results using n = 8 mice. f,
Forward scatter and side scatter of CD138hiIgDneg
plasmablasts examined on day 10 p.i. Data are representative of
n > 5 experiments with similar results.
g, Blimp-1/eYFP reporter mice were infected with Py.
CD138hi Blimp-1/eYFP+ cells in bone marrow from
naïve (left panel) or day 21 infectedmice (right panel). Data are
representative of n = 2 independent experiments with
similar results using n = 4 mice/group.
h,i, CD21 and CD23 expression by B cells in a
naïve mouse (h) and day 10 Py-infectedmouse
(i) showing plasmablasts (green box) activated (blue box)
and resting (red box) B cells. Data are representative of n
> 5 experiments with similar results using n = 3
mice/group. j, Representative plots of the frequency and total
numbers of GC B cells (GL7+CD95+) among plasmablasts,
activated and resting B cell populations on day 10 p.i. Data are means
± s.e.m., representative of n = 3 experiments with
similar results using n = 5 (Day 0 Total B cells) and
n = 4 mice (each remaining group).
Developmental abrogation of blood stage Plasmodium
infection-induced plasmablast responses.
a, Experimental design for adoptive transfers.
b, Experimental design for Rosa26-ERT2/Cre ×
Prdm1fl/fl (CD45.2) : μMT bone marrow chimeric system.
Eight weeks after engraftment, mice were infected with 1 ×
106
Py and then treated with either corn oil or tamoxifen on
days 4, 5, and 6 p.i. c, Gating strategy of TFH
cells. d, Kinetics of parasite burden in
Py-infected wild-type mice treated with tamoxifen or corn
oil on days 4, 5, and 6 p.i. Data are means ± s.e.m., pooled from
n = 2 biologically independent experiments with
n = 6 mice/group. e, Experimental design
for the three-way mixed bone marrow chimera. f, Eight weeks
after engraftment, mice were infected with Py, treated with
either corn oil or tamoxifen on days 4, 5, and 6 p.i. and the relative
proportions (pie diagram) of Prdm1fl/fl (CD45.2)
and wild-type (CD45.1) cells in the GC B cell compartment was analyzed. Data
are means ± s.e.m., pooled from n = 2 biologically
independent experiments with n = 4 mice/group.
g, Evaluation of TH1 responses in PBS and
tamoxifen-treated mixed bone marrow chimeric mice (as shown in b). Data are
means ± s.d. representative of n = 2 biologically
independent experiments with similar results using n = 5
(corn oil) and n = 4 mice (tamoxifen). Data in f,g were
analyzed using two-tailed Mann-Whitney. Symbols and symbols represent
individual mice.
Deletion of blood stage Plasmodium infection-induced
plasmablast responses
a, Experimental design for generating CD138-DTR
chimeras. Eight weeks after engraftment, mice were infected with 1 ×
106
Py and on days 5 and 7 p.i. treated with either DTx or PBS
to delete plasmablasts. Data are means ± s.d., representative of
n = 2 independent experiments with similar results
using n = 4 mice/group. b-d,
Py-infected wild-type mice were treated with either DTx
or PBS on days 5 and 7 p.i. Kinetics of parasite burden (b),
representative plots and summary data of GC B cells (c) and
GC-Tfh cells (d) on 21 p.i. Data are means ± s.d.,
representative of n = 2 biologically independent
experiments with similar results using n = 4 (PBS) and
n = 3 mice (DTx). e-g,
CD138-DTR chimeric mice were infected with 1 × 106
Py, plasmablasts were deleted with DTx and mice were
subsequently treated with either MR-1 (anti-CD40L) or hamster IgG on days
8–11 p.i. Representative plots and summary data of GC B
(e) and GC-TFH (f) cells as measured on day 21
p.i. and kinetics of parasite burden (g). Data are means
± s.e.m., pooled from n = 2 biologically independent
experiments with n = 6 mice/group. Symbols in c-f represent
individual mice and data were analyzed using two-tailed Mann-Whitney.
Differentially expressed genes among splenic B cell populations
a, Venn diagram showing differentially expressed genes
assessed by RNA-seq among the three splenic B cell populations on day 10
p.i. Respective cell types were sort-purified from n = 4
Py-infectedmice. Data were obtained from one RNA-Seq
experiment. Two-tailed ANOVA was used for identifying differentially
expressed genes. b, Heat map showing the relative expression of
all annotated genes assessed using RNA-Seq. c, Heat map showing
the relative expression of genes involved in the unfolded protein response
pathway (UPR).
L-glutamine enhances GC responses during experimental malaria
a, L-glut concentrations in the spleens of naive and
Py-infected wild-type mice on day 5 p.i. Data are means ± s.d.
representative of n = 2 biologically independent
experiments with similar results using n = 3 mice/group
analyzed by a two-tailed unpaired t test (DF = 4; t = 5.933).
b,c, Kinetics of parasite burden in mice
treated with either L-alanine (b, H2O + L-ala),
L-valine (c, H2O + L-val) or water starting on day 0
p.i. Data are means ± s.d., representative of n = 2
independent experiments with similar results using n = 3
mice/group. d-f, Py-infected wild-type mice were
treated with L-glutamine (H2O + L-glut) or water starting day 0
p.i. and subsequently treated with MR-1 (anti-CD40L) or Hamster IgG antibody
on days 8–11 p.i. Kinetics of parasite burden (d) and
frequency of GC B cells (e) and GC-Tfh cells (f)
on day 21 p.i. Data in d are means ± s.e.m, pooled from
n = 2 independent experiments with n =
7 mice/group. Data in e,f are representative of n = 2
biologically independent experiments with similar results using
n = 3 mice/group. g-m,
Py-infected wild-type mice were treated with L-glutamine (H2O +
L-glut) or water starting day 0 p.i. Kinetics of GC B cells
(g), class-switched GC B cells (h), plasmablasts
(i), and GC-TFH-like cells (j).
Data in g-j are means ± s.d., representative of n =
2 biologically independent experiments with similar results using n = 6
mice/group analyzed by two-tailed Mann-Whitney. k, gMFI of BCL6
on GC-TFH-like cells. Data are means ± s.d.,
representative of n = 2 biologically independent
experiments with similar results using n = 3 mice/group
analyzed by two tailed unpaired t test (DF = 4; t = 1.257).
Number of TH1 cells (l, Ly6C+CXCR3+IFNg+) and gMFI
of CD80 and CD86 expression on splenic dendritic cells (m,
MHCII+CD11c+) on day 10 p.i. Data in l,m are means ± s.e.m, pooled
from n = 2 biologically independent experiments with
n = 6 (H2O) and n = 7 mice
(H2O + L-glut) analyzed by two-tailed Mann-Whitney.
n,o, Kinetics of parasite burden
(n) and area under curve as a measure of total parasite
biomass (o) in Py-infected wild-type mice treated with
L-glutamine (H2O + L-glut) starting on day 6 p.i. Data in n are
means ± s.d., representative of n = 2 biologically
independent experiments with similar results using n = 4
mice/group. Data in n analyzed using two-way ANOVA with Sidak’s
multiple comparison (DF = 5; F = 5.728). Data in o analyzed with two-tailed
Mann Whitney. p,q, Kinetics of parasite burden
(p) and area under curve (q) as a measure of
total parasite biomass in Py-infected wild-type mice treated with
L-glutamine (H2O + L-glut) starting day on 10 p.i. Data in p,q
are means ± s.d., representative of n = 2
independent experiments with similar results using n = 4
mice/group analyzed by two-tailed Mann Whitney. Symbols in a, l-q represent
individual mice.
Experimental design for treating CD138-DTR: WT chimeras with
L-glutamine
Eight weeks after engraftment, mice were infected with Py and
treated with L-glut or water starting on day 0 p.i. Mice were subsequently
treated with either DTx or PBS on days 5 and 7 p.i. to delete
plasmablasts.
Post-GC administration of L-glutamine does not appreciably enhance LLPC
and MBC responses
a, Gating strategy for long lived plasma cells (LLPCs)
in the bone marrow of Py-infectedmice. b, Numbers of LLPCs in
the bone marrow on day 60 p.i. from Py-infectedmice treated with either
L-glutamine (H2O + L-glut) or water (H2O). Data are
means ± s.e.m., pooled from n = 2 biologically
independent experiments with n = 7 mice/group analyzed by
two-tailed Mann Whitney. c,d, Py-infected
wild-type mice were treated with either L-glutamine (H2O +
L-glut) or water (H2O) at indicated time points p.i. and analyzed
on day 30 p.i. Numbers of splenic memory B cells (c,
CCR6+CD38+) and representative ELISPOT wells and summary data
(d) demonstrating number of antibody-secreting LLPCs in the
bone marrow. Data in c,d are means ± s.e.m,
pooled from n = 2 biologically independent experiments with
n = 5 (d, days 6–10) and n = 6
mice (remaining groups) analyzed by two-tailed Mann Whitney. Symbols
represent individual mice.
Experimental design for the volunteer infection study
Two thousand eight hundred viable P. falciparuminfected RBCs were intravenously into malaria naïve healthy
volunteers (n = 36 men, n = 4 women). On day 8 p.i.,
volunteers received anti-malarial drug treatment. On days 0, 8 (treatment
day), 14/15 and 27/28/36 (end-of-study, EOS), blood samples were collected
and plasmablasts were assessed by flow cytometry.
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Authors: Vassilis Glaros; René Rauschmeier; Artem V Artemov; Annika Reinhardt; Sebastian Ols; Aikaterini Emmanouilidi; Charlotte Gustafsson; Yuanyuan You; Claudio Mirabello; Åsa K Björklund; Laurent Perez; Neil P King; Robert Månsson; Davide Angeletti; Karin Loré; Igor Adameyko; Meinrad Busslinger; Taras Kreslavsky Journal: Immunity Date: 2021-09-14 Impact factor: 43.474
Authors: Hayley A McNamara; Mireille H Lahoud; Yeping Cai; Jessica Durrant-Whyte; James H O'Connor; Irina Caminschi; Ian A Cockburn Journal: Front Immunol Date: 2022-04-12 Impact factor: 8.786
Authors: Joana P Bernardes; Neha Mishra; Florian Tran; Thomas Bahmer; Lena Best; Johanna I Blase; Dora Bordoni; Jeanette Franzenburg; Ulf Geisen; Jonathan Josephs-Spaulding; Philipp Köhler; Axel Künstner; Elisa Rosati; Anna C Aschenbrenner; Petra Bacher; Nathan Baran; Teide Boysen; Burkhard Brandt; Niklas Bruse; Jonathan Dörr; Andreas Dräger; Gunnar Elke; David Ellinghaus; Julia Fischer; Michael Forster; Andre Franke; Sören Franzenburg; Norbert Frey; Anette Friedrichs; Janina Fuß; Andreas Glück; Jacob Hamm; Finn Hinrichsen; Marc P Hoeppner; Simon Imm; Ralf Junker; Sina Kaiser; Ying H Kan; Rainer Knoll; Christoph Lange; Georg Laue; Clemens Lier; Matthias Lindner; Georgios Marinos; Robert Markewitz; Jacob Nattermann; Rainer Noth; Peter Pickkers; Klaus F Rabe; Alina Renz; Christoph Röcken; Jan Rupp; Annika Schaffarzyk; Alexander Scheffold; Jonas Schulte-Schrepping; Domagoj Schunk; Dirk Skowasch; Thomas Ulas; Klaus-Peter Wandinger; Michael Wittig; Johannes Zimmermann; Hauke Busch; Bimba F Hoyer; Christoph Kaleta; Jan Heyckendorf; Matthijs Kox; Jan Rybniker; Stefan Schreiber; Joachim L Schultze; Philip Rosenstiel Journal: Immunity Date: 2020-11-26 Impact factor: 31.745
Authors: S Jake Gonzales; Raphael A Reyes; Ashley E Braddom; Gayani Batugedara; Sebastiaan Bol; Evelien M Bunnik Journal: Front Immunol Date: 2020-10-29 Impact factor: 7.561