Results
B cell subset changes following IFN-β 1b treatment
Circulating B cells that have not yet differentiated into plasmablasts have
traditionally been divided into two subsets: naïve B (CD19+CD20+CD27-) and
memory B (CD19+CD20+CD27+). Compared to naïve B cells, memory B cells
are characterized by a large increased expression of CD27, with small increases
in CD19, CD20, CD69, CD5 and SSC expression, whereas FSC and expression
remain unchanged. While long described in mice, only recently has a phenotype
for a third subset, B1 B cells, been described in humans(10, 23). These cells are
CD19+CD20+CD27+CD43+, while memory B cells are
CD19+CD20+CD27+CD43-. B1 B cells are somewhat larger, activated cells than
naïve and memory B cells characterized by a large increase in expression of
CD43 and CD5, with a small increase in expression of CD27 and slightly
decreased expression of CD19 and CD20.
To determine the level of these subsets in RRMS patients treated with IFN-
β 1b,
cryopreserved PBMC from patients and healthy controls were thawed and
stained for CD20, CD27 and CD43. To allay concerns that the cryopreservation
process may change B cell subset frequency, 5 healthy controls were examined
before and after freezing. Naïve and memory B cells showed stable frequency
with a slight but consistent decrease in B1 B cell frequency (Supplemental Figure
1). Cells were gated as illustrated in Figure 1A. Briefly, viable CD14-negative
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cells were gated, and then CD20 positive B cells. The B cells were further
subdivided into three subsets: naïve B (CD27-CD43-), B memory (CD27+CD43-)
and B1 (CD27+CD43+). Subset frequencies across all time points and for
healthy controls are compiled in Figure 1B. Interestingly, compared to healthy
controls, RRMS patients had a significantly higher frequency of B1 B cells at
baseline that approached healthy control levels with treatment. Furthermore, at
all time points MS patients showed a significantly lower frequency of memory B
cells when compared with healthy controls. No significant difference in naïve B
cell frequency was seen, however, a trend towards an increase in naïve cells that
was concomitant with the decreases in the other two B cell subsets is evident. In
Figure 1C, B cell subset frequencies in individual patients are plotted. Here,
significant (p<0.05) decreases in both B1 and memory B cell frequencies are
seen, along with a significant (p<0.001) increase in naïve B cell frequency.
Patients with no/low disease activity up to one year following the beginning of
treatment to IFN-
β 1b are plotted in red, and moderate/high disease activity in
black, but clinical response does not seem to affect either the initial level of
subset frequency or response to treatment. Taken together, these results
suggest a significant modification of the circulating B cell population in RRMS
that can be altered with IFN-
β 1b treatment.
Intracellular IL-6 and IL-10 staining of PBMC
PBMC isolated from RRMS patients and healthy controls were stimulated in vitro
with CpG and stained as described in the materials and methods. Cells were
acquired on a flow cytometer and the gating strategy is illustrated in Figure 2.
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First, a broad PBMC gate was drawn based on forward and side scatter. Second,
a gate was drawn to eliminate both dead cells and CD14+ monocytes. B cells
were then gated based on CD19 and CD20 expression, and these B cells were
further subdivided into three subsets: naïve B (CD27-CD43-), B memory
(CD27+CD43-) and B1 (CD27+CD43+). These subsets were then analyzed
separately for IL-6 and IL-10 expression. Quadrants were set based on isotype
controls.
Stimulated cells were also examined for CD69 expression, an early activation
marker that is constitutively elevated on B1 B cells. As expected (data not
shown) after in vitro stimulation, nearly all B1 B cells from healthy controls and
patients at all three time points were CD69+. Memory B cells had a lower
frequency of expression of CD69 following stimulation, and naïve B cells had the
lowest expression. CD69 levels following stimulation are not significantly affected
by IFN-
β 1b treatment or by disease status.
Frequency of IL-6 and IL-10 expression by naïve B cells
Individual samples were analyzed in triplicate for IL-6 and IL-10 expression after
culture with CpG and PMA/Ionomycin. Cytokine gates seen in Figure 2 were set
based on isotype controls in which the anti-cytokine antibody was omitted from
the staining panel – positive cells are those in which the fluorescence intensity
exceeds the background staining in the isotype control. The frequency of IL-10
and IL-6 expressing naïve B cells (CD27-CD43-) for all patient time points and
healthy controls can be seen in Figure 3A. MS patients treated with IFN-
β 1b had
a significantly higher frequency of IL-10 producing and IL-10 and IL-6 double
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producing B cells than healthy controls at both 2 months and 6 months following
initiation of treatment (p<0.05). Interestingly, MS patients had a significantly
higher level of the inflammatory cytokine IL-6 producing naïve B cells at baseline
versus healthy controls (p<0.01), and this significant difference continued
throughout treatment, although a trend toward a decrease was seen at 6 months
following initiation of treatment
Figure 3B presents the level of cytokine expression as measured by geometric
mean fluorescence intensity in naïve B cells for healthy controls and patients at
baseline and two and six months following treatment. IL-10 levels in single
positive IL-10 producing cells were highest 2 months following initiation of
treatment, and significantly higher than those of healthy controls. In IL-10/IL-6
double positive cells, IL-6 levels are significantly higher at 2 and 6 months
following treatment initiation compared with healthy controls, and IL-10 levels are
higher than those of single IL-10-positive cells. Expression levels of IL-6 in IL-6
single-positive cells are significantly higher than healthy controls at all time points,
including baseline.
Frequency of IL-10 and IL-6 expression by memory B cells
The frequency of IL-10 and IL-6 expressing memory B (CD27+CD43-) cells for all
patient time points and healthy controls can be seen in Figure 4A. MS patients
treated with IFN-
β 1b had a significantly higher frequency of IL-10 producing and
IL-10 and IL-6 double producing B cells than healthy controls at both 2 months
and 6 months following initiation of treatment (p<0.05). Unlike in the naïve B cell
population, there were no significant differences in frequency of single-positive
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IL-6 producing cells between MS patients and healthy controls in the memory B
cell population, although the mean frequency was elevated at all time points.
Figure 4B presents the level of expression as measured by geometric mean
fluorescence intensity in memory B cells for healthy controls and patients at
baseline and two and six months following treatment. In IL-10/IL-6 double
positive cells, IL-6 levels are significantly higher at baseline and 2 and 6 months
following treatment initiation compared with healthy controls, and IL-10 levels are
higher than for single IL-10 positive memory B cells. Expression levels of IL-6 in
IL-6 single-positive cells are significantly higher than healthy controls at 2 and 6
months following initiation of IFN-
β 1b.
Frequency of IL-10 and IL-6 expression by B1 B cells
The frequency of IL-10 and IL-6 expressing B1 B cells (CD27+CD43+) for all
patient time points and healthy controls can be seen in Figure 5A. MS patients
treated with IFN-
β 1b had a significantly higher frequency of IL-10 and IL-6 double
producing B cells than healthy controls at both 2 months and 6 months following
initiation of treatment (p<0.05). Interestingly, MS patients had a significantly
higher level of IL-6 producing B1 B cells at baseline versus healthy controls
(p<0.01), and this significant difference continued throughout treatment. Unlike
naïve and memory B cells, the frequency of IL-6-secreting B1 cells is reduced by
half for both normals and patients.
Figure 5B presents the level of expression as measured by geometric mean
fluorescence intensity in B1 B cells for healthy controls and patients at baseline
and two and six months following treatment. In IL-10/IL-6 double positive cells,
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IL-6 levels are significantly higher at baseline and 2 months following treatment
initiation compared with healthy controls. In the single positive populations, no
significant differences are seen.
IL-10 and IL-6 cytokine profile differs in CD5+ and CD5- B1 B cells
B1 B cells in mice are divided into two distinct subsets – CD5+ B1a cells and
CD5- B1b cells(24). CD5 expression on B1 cells from MS patients and healthy
controls was examined to determine whether there was differential cytokine
expression in CD5+ and CD5- cells. As shown in Supplemental Figure 2A, at
baseline, as well as 2 and 6 months following initiation of treatment, MS patients
showed a significantly higher frequency of CD5 expression, with a mean of
approximately 90% while healthy control B1 cells showed a mean frequency of
approximately 70%, in line with previously reported figures(10).
IL-10 expression following ex vivo stimulation by CD5+ and CD5- B1 B cells is
seen in Supplemental Figure 2B. In the CD5+ population, IL-10 expression is
significantly lower in MS patients at baseline compared to healthy controls.
Following IFN-
β 1b treatment, this significant reduction disappears. In the CD5-
population, a similar pattern appears, with the frequency of IL-10 expression
being lower at baseline and 2 months following initiation of treatment with IFN-
β 1b, with the significant reduction eliminated at 6 months following treatment.
Interestingly, the CD5+ B1 cells have higher overall expression of IL-10 when
compared with the CD5- population across all time points and healthy controls.
Frequencies of IL-10/IL-6 double positive and IL-6 single positive CD5+ or CD5-
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B1 cells showed no significant differences between MS patients at any time point
versus healthy controls.
RRMS patients show differing patters of cytokine production among B cell
subsets compared with healthy controls that shift with IFN-β 1b treatment.
To directly compare the contribution of different B cell subsets to the total B cell-
derived cytokine, we calculated a cytokine index for each of subsets analyzed.
This index is the product of the cytokine positive subset frequency as a
percentage of total B cells and the mean fluorescent intensity of the cytokine
signal from the cytokine positive cells. As shown in Figure 6A, this index reveals
that at baseline, RRMS patients have a similar contribution of IL-10 from each B
cell subset, while healthy controls have a much higher contribution from memory
B cells. Furthermore, following initiation of IFN-
β 1b treatment, naïve B cells
become the predominant producers of IL-10 among all B cells. IL-6 expression
(Figure 6B) shows a different pattern – RRMS patients have expression of IL-6
predominantly by naïve B cells that is unchanged with IFN-
β 1b treatment, while
healthy controls show a reduced level of IL-6 production by naïve B cells that is
similar to the amount produced by memory B cells, with little expression of IL-6
by B1 B cells.
Patients with no or low disease activity following IFN-
β 1b treatment have
significantly different B cell subset frequencies and CD27 expression on B1 cells
from patients with moderate or high disease activity
We have demonstrated several differences between RRMS patients and healthy
controls, as well as differences following treatment with IFN-
β 1b in B cell subset
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composition and cytokine expression. To further determine the effect of IFN- β 1b
treatment, we divided the RRMS patients into responders to no/low and
moderate/high disease activity groups (as defined in the materials and methods)
and examined baseline PBMCs for differences. As shown in Figure 7A, patients
in the no/low disease activity group have a significantly higher frequency of naïve
B cells and a significantly lower frequency of memory B cells than healthy
controls following PBMC stimulation. Patients with moderate or high disease
activity following treatment had a significantly lower frequency of naïve B cells
when compared with the no or low activity group, and a significantly higher
frequency of B1 B cells when compared with healthy controls. In addition, as
seen in Figure 7B the level of CD27 expression on B1 B cells, but not memory B
cells, was significantly higher in the moderate/high group compared with the
no/low group. Taken together, these results suggest several differences that
could be used as biomarkers to distinguish untreated RRMS patients from
healthy controls and, moreover, responders to Betaseron treatment from
nonresponders.
Discussion
While multiple sclerosis has been historically thought of as a T cell
mediated disorder, B cells are increasingly being appreciated as more central to
the pathology of the disease. Oligoclonal antibody bands in the CSF have long
been considered a hallmark of the disease, and their source is ectopic germinal
centers found in the CNS (25, 26) (27). B cell depleting anti-CD20 therapy has
been shown to be effective at treating RRMS, leading to fewer lesions and
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clinical relapses (4, 5). B cells isolated from RRMS and SPMS patients have
been shown to have distinct cytokine secretion profiles compared with those from
healthy controls (9). While the role of B cell-depleting mechanisms has been well
studied in both human MS and animal models, little is known about the effect of
IFN-
β 1b, a commonly prescribed MS treatment, on the B cell population in MS
patients. In this study we demonstrate that RRMS patients compared with
healthy controls have notable differences in B cell subsets and cytokine
production at baseline as well as showing an effect of IFN-
β 1b treatment on
subset composition and cytokine expression.
Previous studies have looked at the balance between naïve and memory
B cells in autoimmune disorders. Until recently, mature circulating B cells have
been divided into 2 main subsets: naïve and memory. Naïve B cells have yet to
encounter antigen and are defined as CD19+, CD20+ and CD27-. Memory B
cells that have seen cognate antigen and represent a pool that respond to
secondary infections are defined as CD19+, CD20+ and CD27+. These cell
subsets have previously been examined in RRMS patients, with a reduction in
memory B cell frequency and an increase in naïve B cells described, with a more
profound effect in IFN-
β 1b treated patients (28). Our data confirms this
observation, in that at baseline, RRMS patients had a significantly lower
frequency of CD20+CD27+CD43- memory B cells which was further decreased
upon initiation of IFN-
β 1b treatment. The opposite trend was seen with
CD20+CD27- naïve B cells: a similar, but slightly higher frequency at baseline
that was elevated increased by IFN-
β 1b treatment.
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In the mouse, another subset of mature B cells - B1 B cells - has long
been described (29). B1 B cells, which develop in a separate lineage from
traditional naïve or memory B cells, produce natural antibody that is cross
specific for pathogen and self antigen (30). Natural antibody may be important to
modulate the immune response following tissue damage, and MS patients show
a differing pattern of expression compared with healthy controls (8). Recently, the
human equivalent of the murine B1 cell has been described. These human B1
cells show a similar ability to produce natural antibody, a persistently activated
state and a phenotype of CD19+CD20+CD27+CD43+CD70+ (10, 23). We found
a significantly increased frequency of these B1 B cells in RRMS patients prior to
IFN-
β 1b treatment, and a significantly decreased frequency with IFN- β 1b
treatment. Given the elevated level at baseline, and previously reported results
showing differential patterns of natural antibody in MS patients, this result
suggests that a defect in B1 and/or memory B cell regulation may be involved in
the pathology of the disease. A recent study showed a reduction in B1 B cells in
newly diagnosed RRMS patients(31). Our study did not focus on recently
diagnosed patients – this difference in patient population may account for the
differences in subset frequency.
A more recent report describes B cells with the proposed B1 phenotype as
pre-plasmablasts, able to differentiate to plasmablasts in vitro, that secrete IgG,
IgM and IgA and with a gene expression profile between memory B cells and
plasmablasts(32). Plasmablasts are effector B cells that have the potential to
differentiate into long lived plasma cells, are defined as CD19+CD20-
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CD27+CD38hi (33). If the cells we have defined as B1 are indeed pre-
plasmablasts, the increase seen in this subset in RRMS patients versus healthy
controls may be related to the eventual formation of ectopic germinal centers in
the CNS and oligoclonal antibody seen in the CSF of RRMS patients.
Furthermore, these cells could be precursors to cells that generate anti-self
antibody that leads to complement-mediated tissue damage in the CNS.
However, the high CD5 expression on the B1 subset that we see - particularly in
RRMS patient samples - argues against them being pre-plasmablasts, since
plasmablasts do not express CD5.
In addition to being a growth factor for B cells, the cytokine IL-6 is typically
a pro-inflammatory cytokine involved in the differentiation of Th17 cells, which
are thought to be pathogenic in RRMS. IL-6 produced by B cells has been
implicated in the disease process of MS. In the mouse model of MS,
experimental autoimmune encephalomyelitis (EAE), B cells from diseased
animals produced more IL-6 than healthy controls, and mice with B cells deficient
in the ability to make IL-6 showed lower levels of disease (21). In EAE in the
marmoset animal model, B cell depletion with anti-CD20 resulted in lower levels
of IL-6, as well as other pro-inflammatory cytokines (34). Glatiramer acetate,
another approved treatment in MS has also been shown to reduce IL-6 in the
mouse model (16). Our results show elevated IL-6 production by naïve and B1 B
cells from RRMS patients at baseline compared to healthy controls. Naïve B
cells are the predominant B cell subset producing IL-6 in RRMS patients at
baseline, and this proportion is unchanged by treatment. This elevated IL-6
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expression may be indicative of a dysfunctional B cell population in RRMS
patients giving rise to a pro-inflammatory cytokine milieu. Indeed, in vitro
coculture studies with B and T cells isolated from MS patients show a greater
propensity for Th17 skewing compared with cells from healthy controls, providing
evidence for this view (35).
The cytokine IL-10 is typically anti-inflammatory, and has been shown to
be able to be produced by many different types of leukocytes (13). IL-10
produced by T cells has been shown to be able to suppress Th17 cell
proliferation and function (36, 37). IFN-
β has been shown to induce T regulatory
cells in RRMS patients (38, 39), and these cells can be an important source of IL-
10. IL-10 producing B cells, called either B10 or B regulatory cells, have been
described in both mice and humans (40, 41). B regulatory cells have been
implicated in several EAE studies as being able to modulate initiation or
progression of the disease (14, 15, 17). Ex vivo stimulation of B cells from MS
patients with CD40 ligand shows a reduced production of IL-10 compared with
healthy controls (9). In vitro experiments analyzing the effect of IFN-
β 1b on B
cells from both MS patients and healthy controls showed a significant increase in
IL-10 production after 24 hours in culture (35). In this study we examined the
effect of standard IFN- β 1b treatment of RRMS patients on the IL-10 secretion
profile of B cells. Overnight in vitro stimulation resulted in low frequencies of IL-
10 producing B cells in all three subsets of B cells examined, naïve, memory and
B1. These cells were present in both untreated RRMS patients and healthy
controls, with a trend towards a higher frequency in RRMS patients. The
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difference seen from the report by Duddy et al (9), - in which MS patients showed
a lower amount of IL-10 upon stimulation – may be due to the different choice of
cellular stimuli (CD40 ligand previously; CpG in this report) or the fact that the
stimulation presented here was on a mixed PBMC population, versus purified B
cells. Analyzing the B cells directly via flow cytometry, as in this report, may give
a clearer picture of the frequency of these cells to able make IL-10, as a opposed
to the indirect method of a supernatant ELISA. All three of the B cell subsets
examined are a significant source of the B cell-derived IL-10 at baseline, with
naïve B cells becoming a more predominant source with treatment. In contrast, in
healthy controls, memory B cells have the highest IL-10 cytokine index.
Consistent with previous descriptions of B regulatory cells, we saw a
higher frequency of IL-10 producing B cells in the CD5+ B1 population than in the
CD5- population. With IFN-
β 1b treatment, RRMS patients had significantly more
IL-10 production in the memory and naïve B cell subsets than healthy controls,
and a trend toward an increase from baseline. This increase in IL-10 from the B
cell population may indicate an increase in anti-inflammatory contribution from
the B cell population with treatment and may be an important part of the
mechanism of IFN-
β 1b-mediated alleviation of RRMS signs and symptoms.
Several approved first-line treatments for RRMS are available, with similar
effects on relapse rate compared with placebo.(42) There are currently no
diagnostic tests to assist clinicians in deciding which treatment is advised in a
particular patient who is initially presenting with the disease. We have shown
significant differences within an RRMS patient population prior to treatment that
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was correlated with later response to IFN- β 1b. Patients with moderate/high
disease activity following treatment had significantly higher frequencies of B1 B
cells than healthy controls, while patients with no or low disease activity did not,
and significantly lower frequencies of naïve B cells. Given that we observed
naïve B cells to be the highest producers of IL-6, the fact that patients who
showed a better response to treatment had higher levels of these cells may seem
counterintuitive. It is possible that the presence of a high level of these IL-6-
producing naïve B cells renders the patients more receptive to IFN-
β 1b treatment,
while patients with a lower level of these cells have a different cell type that is
driving disease progress. In addition to the differences in cell subset frequency,
the level of CD27 on the B1 B cells in the moderate/high disease activity group
was significantly higher. CD27 on human B cells has been shown to be a
stimulatory receptor leading to an increase in antibody production(43). Thus, the
increase in expression in patients less responsive to IFN-
β 1b may indicate B1 B
cells that are more prone to produce auto-antibody. These results may provide a
way for clinicians to determine whether IFN- β 1b treatment is advised in a
particular patient. In order to solidify this finding, further investigations should be
performed to determine other markers that may differ in the B cell population
between better responders to IFN- β 1b and non-responders, and to determine
whether serum cytokine level can provide a window into this cellular activity.
The recent evidence arguing for a role of B cells in multiple sclerosis is
extensive and compelling. In this study, we demonstrated the effect of a one of
the more common treatments for the disease - IFN- β 1b - on circulating B cell
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subsets and the expression of cytokines potentially able to affect the course of
MS. RRMS patients had significantly different frequencies of B cell subsets when
compared with healthy controls, and IFN- β 1b treatment was able to alter the
composition of B cell subsets in circulation, decreasing the frequency of memory
B cells while increasing the frequency of naïve and B1 B cells. Expression of the
pro-inflammatory cytokine IL-6 was higher at baseline in RRMS patients when
compared with healthy controls, showing that this population of B cells may be
involved in the pathology of the disease. Treatment with IFN-
β 1b lead to an
increase in the anti-inflammatory cytokine IL-10 in RRMS patients compared to
healthy controls, indicating that type I interferon may be giving rise to a regulatory
B cell population, leading to a reduction in symptoms. Furthermore, when RRMS
patients are divided into groups based on disease activity following IFN-
β 1b
treatment, striking differences were seen in B cell subset frequency and CD27
expression. Taken together, this study provides strong evidence that treatment
with IFN-
β 1b can alter the B cell population in RRMS patients, this alteration may
be an important part of the mechanism of action of the treatment and treatment
efficacy may be able to be predicted by examining the B cell population.
Acknowledgements
We acknowledge the patients in this study for participating, without whom the
work would not have been possible. This work was supported by funding from
Bayer Healthcare Pharmeceuticals. Studies were performed in DartLab, the
Immunoassay and Flow Cytometry Shared Resource at the Geisel School of
Medicine, which receives support from the Norris Cotton Cancer Center and the
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Dartmouth COBRE Center for Molecular, Cellular and Translational
Immunological Research.
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25
1. Noseworthy, J. H., C. Lucchinetti, M. Rodriguez, and B. G. Weinshenker.
2000. Multiple sclerosis. N Engl J Med 343: 938-952.
2. Weiner, H. L. 2009. The challenge of multiple sclerosis: how do we cure a
chronic heterogeneous disease? Ann Neurol 65: 239-248.
3. Krumbholz, M., T. Derfuss, R. Hohlfeld, and E. Meinl. 2012. B cells and
antibodies in multiple sclerosis pathogenesis and therapy. Nature reviews.
Neurology.
4. Hauser, S. L., E. Waubant, D. L. Arnold, T. Vollmer, J. Antel, R. J. Fox, A.
Bar-Or, M. Panzara, N. Sarkar, S. Agarwal, A. Langer-Gould, and C. H.
Smith. 2008. B-cell depletion with rituximab in relapsing-remitting multiple
sclerosis. N Engl J Med 358: 676-688.
5. Bar-Or, A., P. A. Calabresi, D. Arnold, C. Markowitz, S. Shafer, L. H.
Kasper, E. Waubant, S. Gazda, R. J. Fox, M. Panzara, N. Sarkar, S.
Agarwal, and C. H. Smith. 2008. Rituximab in relapsing-remitting multiple
sclerosis: a 72-week, open-label, phase I trial. Ann Neurol 63: 395-400.
6. Lulu, S., and E. Waubant. 2013. Humoral-targeted immunotherapies in
multiple sclerosis. Neurotherapeutics : the journal of the American Society
for Experimental NeuroTherapeutics 10: 34-43.
7. Haas, J., I. Bekeredjian-Ding, M. Milkova, B. Balint, A. Schwarz, M.
Korporal, S. Jarius, B. Fritz, H. M. Lorenz, and B. Wildemann. 2011. B
cells undergo unique compartmentalized redistribution in multiple sclerosis.
J Autoimmun 37: 289-299.
8. Quintana, F. J., M. F. Farez, V. Viglietta, A. H. Iglesias, Y. Merbl, G.
Izquierdo, M. Lucas, A. S. Basso, S. J. Khoury, C. F. Lucchinetti, I. R.
Cohen, and H. L. Weiner. 2008. Antigen microarrays identify unique
serum autoantibody signatures in clinical and pathologic subtypes of
multiple sclerosis. Proc Natl Acad Sci U S A 105: 18889-18894.
9. Duddy, M., M. Niino, F. Adatia, S. Hebert, M. Freedman, H. Atkins, H. J.
Kim, and A. Bar-Or. 2007. Distinct effector cytokine profiles of memory
and naive human B cell subsets and implication in multiple sclerosis. J
Immunol 178: 6092-6099.
10. Griffin, D. O., N. E. Holodick, and T. L. Rothstein. 2011. Human B1 cells in
umbilical cord and adult peripheral blood express the novel phenotype
CD20+ CD27+ CD43+ CD70. J Exp Med 208: 67-80.
11. Baumgarth, N. 2011. The double life of a B-1 cell: self-reactivity selects for
protective effector functions. Nat Rev Immunol 11: 34-46.
12. Mauri, C., and A. Bosma. 2012. Immune regulatory function of B cells.
Annu Rev Immunol 30: 221-241.
13. Banchereau, J., V. Pascual, and A. O'Garra. 2012. From IL-2 to IL-37: the
expanding spectrum of anti-inflammatory cytokines. Nat Immunol 13: 925-
931.
14. Begum-Haque, S., M. Christy, J. Ochoa-Reparaz, E. C. Nowak, D.
Mielcarz, A. Haque, and L. H. Kasper. 2011. Augmentation of regulatory B
cell activity in experimental allergic encephalomyelitis by glatiramer
acetate. J Neuroimmunol 232: 136-144.
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted February 26, 2022. ; https://doi.org/10.1101/2022.02.25.22270266doi: medRxiv preprint
26
15. Ochoa-Reparaz, J., D. W. Mielcarz, S. Haque-Begum, and L. H. Kasper.
2010. Induction of a regulatory B cell population in experimental allergic
encephalomyelitis by alteration of the gut commensal microflora. Gut
microbes 1: 103-108.
16. Begum-Haque, S., A. Sharma, M. Christy, T. Lentini, J. Ochoa-Reparaz, I.
F. Fayed, D. Mielcarz, A. Haque, and L. H. Kasper. 2010. Increased
expression of B cell-associated regulatory cytokines by glatiramer acetate
in mice with experimental autoimmune encephalomyelitis. J
Neuroimmunol 219: 47-53.
17. Matsushita, T., K. Yanaba, J. D. Bouaziz, M. Fujimoto, and T. F. Tedder.
2008. Regulatory B cells inhibit EAE initiation in mice while other B cells
promote disease progression. J Clin Invest 118: 3420-3430.
18. Kimura, A., and T. Kishimoto. 2010. IL-6: regulator of Treg/Th17 balance.
Eur J Immunol 40: 1830-1835.
19. Bettelli, E., Y. Carrier, W. Gao, T. Korn, T. B. Strom, M. Oukka, H. L.
Weiner, and V. K. Kuchroo. 2006. Reciprocal developmental pathways for
the generation of pathogenic effector TH17 and regulatory T cells. Nature
441: 235-238.
20. Karnowski, A., S. Chevrier, G. T. Belz, A. Mount, D. Emslie, K. D'Costa, D.
M. Tarlinton, A. Kallies, and L. M. Corcoran. 2012. B and T cells
collaborate in antiviral responses via IL-6, IL-21, and transcriptional
activator and coactivator, Oct2 and OBF-1. J Exp Med 209: 2049-2064.
21. Barr, T. A., P. Shen, S. Brown, V. Lampropoulou, T. Roch, S. Lawrie, B.
Fan, R. A. O'Connor, S. M. Anderton, A. Bar-Or, S. Fillatreau, and D. Gray.
2012. B cell depletion therapy ameliorates autoimmune disease through
ablation of IL-6-producing B cells. J Exp Med 209: 1001-1010.
22. Bouaziz, J. D., S. Calbo, M. Maho-Vaillant, A. Saussine, M. Bagot, A.
Bensussan, and P. Musette. 2010. IL-10 produced by activated human B
cells regulates CD4(+) T-cell activation in vitro. Eur J Immunol 40: 2686-
2691.
23. Griffin, D. O., and T. L. Rothstein. 2011. A small CD11b+ human B1 cell
subpopulation stimulates T cells and is expanded in lupus. J Exp Med
208: 2591-2598.
24. Baumgarth, N. 2004. B-cell immunophenotyping. Methods in cell biology
75: 643-662.
25. Freedman, M. S., E. J. Thompson, F. Deisenhammer, G. Giovannoni, G.
Grimsley, G. Keir, S. Ohman, M. K. Racke, M. Sharief, C. J. Sindic, F.
Sellebjerg, and W. W. Tourtellotte. 2005. Recommended standard of
cerebrospinal fluid analysis in the diagnosis of multiple sclerosis: a
consensus statement. Archives of neurology 62: 865-870.
26. Serafini, B., B. Rosicarelli, R. Magliozzi, E. Stigliano, and F. Aloisi. 2004.
Detection of ectopic B-cell follicles with germinal centers in the meninges
of patients with secondary progressive multiple sclerosis. Brain Pathol 14:
164-174.
27. Meier, U.-C., G. Giovannoni, J. S. Tzartos, and G. Khan. 2012.
Translational Mini-Review Series on B cell subsets in disease. B cells in
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted February 26, 2022. ; https://doi.org/10.1101/2022.02.25.22270266doi: medRxiv preprint
27
multiple sclerosis: drivers of disease pathogenesis and Trojan horse for
Epstein-Barr virus entry to the central nervous system? 167: 1-6.
28. Haas, J., I. Bekeredjian-Ding, M. Milkova, B. Balint, A. Schwarz, M.
Korporal, S. Jarius, B. Fritz, H.-M. Lorenz, and B. Wildemann. 2011. B
cells undergo unique compartmentalized redistribution in multiple sclerosis.
29. Hayakawa, K., R. R. Hardy, D. R. Parks, and L. A. Herzenberg. 1983. The
"Ly-1 B" cell subpopulation in normal immunodefective, and autoimmune
mice. J Exp Med 157: 202-218.
30. Baumgarth, N., J. W. Tung, and L. A. Herzenberg. 2005. Inherent
specificities in natural antibodies: a key to immune defense against
pathogen invasion. Springer Semin Immunopathol 26: 347-362.
31. Torring, C., C. C. Petersen, L. Bjerg, E. Kofod-Olsen, T. Petersen, and P.
Hollsberg. 2013. The B1-cell subpopulation is diminished in patients with
relapsing-remitting multiple sclerosis. J Neuroimmunol 262: 92-99.
32. Covens, K., B. Verbinnen, N. Geukens, I. Meyts, F. Schuit, L. Van Lommel,
M. Jacquemin, and X. Bossuyt. 2013. Characterization of proposed
human B-1 cells reveals pre-plasmablast phenotype. Blood.
33. Perez-Andres, M., B. Paiva, W. G. Nieto, A. Caraux, A. Schmitz, J.
Almeida, R. F. Vogt, G. E. Marti, A. C. Rawstron, M. C. Van Zelm, J. J. M.
Van Dongen, H. E. Johnsen, B. Klein, A. Orfao, and P. H. C. G. o. S. f. t. S.
o. MBL. 2010. Human peripheral blood B-cell compartments: a crossroad
in B-cell traffic. 78 Suppl 1: S47-60.
34. Kap, Y. S., N. van Driel, E. Blezer, P. W. Parren, W. K. Bleeker, J. D.
Laman, J. L. Craigen, and B. A. t Hart. 2010. Late B cell depletion with a
human anti-human CD20 IgG1kappa monoclonal antibody halts the
development of experimental autoimmune encephalomyelitis in
marmosets. J Immunol 185: 3990-4003.
35. Ramgolam, V. S., Y. Sha, K. L. Marcus, N. Choudhary, L. Troiani, M.
Chopra, and S. Markovic-Plese. 2011. B cells as a therapeutic target for
IFN-beta in relapsing-remitting multiple sclerosis. J Immunol 186: 4518-
4526.
36. Huber, S., N. Gagliani, E. Esplugues, W. O'Connor, Jr., F. J. Huber, A.
Chaudhry, M. Kamanaka, Y. Kobayashi, C. J. Booth, A. Y. Rudensky, M.
G. Roncarolo, M. Battaglia, and R. A. Flavell. 2011. Th17 cells express
interleukin-10 receptor and are controlled by Foxp3(-) and Foxp3+
regulatory CD4+ T cells in an interleukin-10-dependent manner. Immunity
34: 554-565.
37. Chaudhry, A., R. M. Samstein, P. Treuting, Y. Liang, M. C. Pils, J. M.
Heinrich, R. S. Jack, F. T. Wunderlich, J. C. Bruning, W. Muller, and A. Y.
Rudensky. 2011. Interleukin-10 signaling in regulatory T cells is required
for suppression of Th17 cell-mediated inflammation. Immunity 34: 566-578.
38. Vandenbark, A. A., J. Huan, M. Agotsch, D. La Tocha, S. Goelz, H. Offner,
S. Lanker, and D. Bourdette. 2009. Interferon-beta-1a treatment increases
CD56bright natural killer cells and CD4+CD25+ Foxp3 expression in
subjects with multiple sclerosis. J Neuroimmunol 215: 125-128.
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted February 26, 2022. ; https://doi.org/10.1101/2022.02.25.22270266doi: medRxiv preprint
28
39. Namdar, A., B. Nikbin, M. Ghabaee, A. Bayati, and M. Izad. 2010. Effect
of IFN-beta therapy on the frequency and function of CD4(+)CD25(+)
regulatory T cells and Foxp3 gene expression in relapsing-remitting
multiple sclerosis (RRMS): a preliminary study. J Neuroimmunol 218: 120-
124.
40. Iwata, Y., T. Matsushita, M. Horikawa, D. J. Dilillo, K. Yanaba, G. M.
Venturi, P. M. Szabolcs, S. H. Bernstein, C. M. Magro, A. D. Williams, R.
P. Hall, E. W. St Clair, and T. F. Tedder. 2011. Characterization of a rare
IL-10-competent B-cell subset in humans that parallels mouse regulatory
B10 cells. Blood 117: 530-541.
41. Yanaba, K., J. D. Bouaziz, K. M. Haas, J. C. Poe, M. Fujimoto, and T. F.
Tedder. 2008. A regulatory B cell subset with a unique CD1dhiCD5+
phenotype controls T cell-dependent inflammatory responses. Immunity
28: 639-650.
42. Roskell, N. S., E. A. Zimovetz, C. E. Rycroft, B. J. Eckert, and D. A. Tyas.
2012. Annualized relapse rate of first-line treatments for multiple sclerosis:
a meta-analysis, including indirect comparisons versus fingolimod. Current
medical research and opinion 28: 767-780.
43. Kobata, T., S. Jacquot, S. Kozlowski, K. Agematsu, S. F. Schlossman,
and C. Morimoto. 1995. CD27-CD70 interactions regulate B-cell activation
by T cells. Proc Natl Acad Sci U S A 92: 11249-11253.
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted February 26, 2022. ; https://doi.org/10.1101/2022.02.25.22270266doi: medRxiv preprint
29
Figure Legends
Figure 1. B cell subset frequencies di ffer in RRMS patients and healthy
controls, and change over time with IFN- β 1b treatment. (A) Gating strategy
for delineating subsets. From left to right: viable, CD14- cells were gated, then
CD20+ B cells. In the far left bivariate plot, CD27 and CD43 expression was
used to delineate naïve B cells (CD27-CD43-), memory B cells (CD27+CD43-)
and B1 B cells (CD27+CD43+). Representative data from 1 RRMS patient at
baseline is shown. (B) Compiled subset frequencies from 10 RRMS patients at
baseline, 2 and 6 months following initiation of IFN-
β 1b treatment and 10 healthy
controls. Each data point represents the average of three separate samples. The
horizontal bar indicates the mean frequency for each time point, and error bars
represent the standard error of the mean. Data analyzed by one-way ANOVA
with Tukey’s multiple comparison post-test. * p<0.05, **p<0.01. (C) Subset
frequencies for individual RRMS patients following initiation of IFN-
β 1b treatment.
Clinical responders to IFN- β 1b are shown in red. Each data point represents the
average of three separate samples. Data analyzed by repeated measures
ANOVA with Dunnett’s multiple comparison post-test. * p<0.05, **p<0.01
***p<0.001.
Figure 2. Intracellular cytokine staining of B cells from RRMS patients.
Cryopreserved and thawed PBMC were ml in flat-bottom plates in AIM V medium
with 10% human AB serum for 18 hours with cultured at 5x10
6/ 3 µg/ml CpG-
ODN type B-2006-G5 at 37 oC, 5% CO 2. PMA (50 ng/ml) and ionomycin (750
ng/ml) were added after 12 hours. Brefeldin and monensin (PTI)(3 µg/ml and 2
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30
µM, respectively) were added after 14 hours. PBMCs were stained for viability
(yellow amine dye) prior to surface epitope and intracellular cytokine staining.
Cytokine quadrants were set based on isotype controls.
Figure 3. IL-6 and IL-10 expression by naïve B cells differs in RRMS
patients and healthy controls and is modulated with IFN- β 1b treatment.
Cells were analyzed via flow cytometry as shown in figure 2. Each data point is
representative of the average of two replicates. The horizontal bar indicates the
mean frequency for each time point, and error bars represent the standard error
of the mean. Data analyzed by one-way ANOVA with Tukey’s multiple
comparison post-test. * p<0.05, **p<0.01, ***p<0.001. (A) Frequency of cytokine
positive cells naïve B cells. (B) Geometric mean fluorescence intensity of
cytokine positive cells.
Figure 4. IL-6 and IL-10 expression by memory B cells differs in RRMS
patients and healthy controls and is modulated with IFN-
β 1b treatment.
Cells were analyzed via flow cytometry as shown in figure 2. Each data point is
representative of the average of two replicates. The horizontal bar indicates the
mean frequency for each time point, and error bars represent the standard error
of the mean. Data analyzed by one-way ANOVA with Tukey’s multiple
comparison post-test. * p<0.05, **p<0.01, ***p<0.001. (A) Frequency of cytokine
positive cells memory B cells. (B) Geometric mean fluorescence intensity of
cytokine positive cells.
Figure 5. IL-6 and IL-10 expression by B1 B cells differs in RRMS patients
and healthy controls and is modulated with IFN-
β 1b treatment. Cells were
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analyzed via flow cytometry as shown in figure 2. Each data point is
representative of the average of two replicates. The horizontal bar indicates the
mean frequency for each time point, and error bars represent the standard error
of the mean. Data analyzed by one-way ANOVA with Tukey’s multiple
comparison post-test. * p<0.05, **p<0.01, ***p<0.001. (A) Frequency of cytokine
positive cells B1 B cells. (B) Geometric mean fluorescence intensity of cytokine
positive cells.
Figure 6. Contribution of IL-10 by B cell subsets is shifted toward naïve B
cells in RRMS patients, particularly with IFN-
β 1b treatment and naïve B
cells are the predominant source of B cell-derived IL-6 in RRMS patients.
Cells were analyzed via flow cytometry as shown in figure 2. Each bar is
representative of the average of 10 patient or healthy control samples. Error bars
represent the standard error of the mean. Cytokine index represents the
frequency of cytokine positive cells from each B cell subset as a percentage of
total B cells multiplied by the mean fluorescence intensity of cytokine positive
cells.
Figure 7. Patients with no/low disease activity and noderate/high disease
activity following IFN-
β 1b treatment have significantly different levels of B
cell subsets compared with each other and healthy controls. Cells were
analyzed via flow cytometry as shown in figure 2. Each data point is
representative of the average of two replicates. The horizontal bar indicates the
mean frequency for each time point, and error bars represent the standard error
of the mean. Data analyzed by one-way ANOVA with Tukey’s multiple
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32
comparison post-test. * p<0.05, **p<0.01. (A) Subset differences between
healthy controls (HC), no/low and moderate/high disease activity. (B) Geometric
mean fluorescent intensity of CD27 on Memory B Cells and B1 B cells in healthy
controls (HC) no/low and moderate/high disease activity.
Supplemental Figure 1. Frequencies of B cell subsets are stable through a
cryopreservation-thaw cycle. Individual healthy donors were analyzed to
assess the stability of B cell subsets on cryopreservation and thawing. Cells were
analyzed by flow cytometry (as shown in figure 2) immediately after density
gradient separation and following two weeks of cryopreservation. Black bars
indicate fresh PBMC; gray bars indicate frozen and thawed PBMC. Error bars
represent the range of two technical replicates.
Supplemental Figure 2. B1 B cells from RRMS patients have higher
expression of CD5, and differential expression of IL-10 at baseline. Cells
were analyzed via flow cytometry as shown in figure 2. Each data point is
representative of the average of two replicates. The horizontal bar indicates the
mean frequency for each time point, and error bars represent the standard error
of the mean. Data analyzed by one-way ANOVA with Tukey’s multiple
comparison post-test. * p<0.05. (A) CD5 expression on B1 B cells. (B) Frequency
of cytokine positive CD5+ and CD5- B1 B cells.
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