Douglas L Arnold1, Daniela Piani-Meier2, Amit Bar-Or3, Ralph Hb Benedict4, Bruce Ac Cree5, Gavin Giovannoni6, Ralf Gold7, Patrick Vermersch8, Sophie Arnould9, Frank Dahlke9, Thomas Hach9, Shannon Ritter9, Göril Karlsson9, Ludwig Kappos10, Robert J Fox11. 1. NeuroRx, Montreal, QC, Canada/Montreal Neurological Institute, McGill University, Montreal, QC, Canada. 2. Novartis Pharma AG, Basel, Switzerland. 3. Center for Neuroinflammation and Experimental Therapeutics and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. 4. Department of Neurology, University at Buffalo, Buffalo, NY, USA. 5. UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA. 6. Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK. 7. Department of Neurology, St Josef-Hospital/Ruhr-University Bochum, Bochum, Germany. 8. Univ. Lille, Inserm U1172 LilNCog, CHU Lille, FHU Precise, Lille, France. 9. Novartis Pharma AG, Basel, Switzerland; *at the time of writing. 10. Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) and MS Center, Departments of Head, Spine and Neuromedicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland. 11. Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
Abstract
BACKGROUND: Magnetic resonance imaging (MRI) measurements of gray matter (GM) atrophy and magnetization transfer ratio (MTR; correlate of myelination) may provide better insights than conventional MRI regarding brain tissue integrity/myelination in multiple sclerosis (MS). OBJECTIVE: To examine the effect of siponimod in the EXPAND trial on whole-brain and GM atrophy, newly formed normalized magnetization transfer ratio (nMTR) lesions, and nMTR-assessed integrity of normal-appearing brain tissue (NABT), cortical GM (cGM), and normal-appearing white matter (NAWM). METHODS: Patients with secondary progressive multiple sclerosis (SPMS) received siponimod (2 mg/day; n =1037) or placebo (n = 523). Endpoints included percentage change from baseline to months 12/24 in whole-brain, cGM, and thalamic volumes; change in nMTR from baseline to months 12/24 in NABT, cGM, and NAWM; MTR recovery in newly formed lesions. RESULTS: Compared with placebo, siponimod significantly reduced progression of whole-brain and GM atrophy over 12/24 months, and was associated with improvements in brain tissue integrity/myelination within newly formed nMTR lesions and across NABT, cGM, and NAWM over 24 months. Effects were consistent across age, disease duration, inflammatory activity subgroups, and disease severity. CONCLUSION: Siponimod reduced brain tissue damage in patients with SPMS as evidenced by objective measures of brain tissue integrity/myelination. This is consistent with central nervous system (CNS) effects observed in preclinical models. ClinicalTrials.gov number: NCT01665144.
BACKGROUND: Magnetic resonance imaging (MRI) measurements of gray matter (GM) atrophy and magnetization transfer ratio (MTR; correlate of myelination) may provide better insights than conventional MRI regarding brain tissue integrity/myelination in multiple sclerosis (MS). OBJECTIVE: To examine the effect of siponimod in the EXPAND trial on whole-brain and GM atrophy, newly formed normalized magnetization transfer ratio (nMTR) lesions, and nMTR-assessed integrity of normal-appearing brain tissue (NABT), cortical GM (cGM), and normal-appearing white matter (NAWM). METHODS: Patients with secondary progressive multiple sclerosis (SPMS) received siponimod (2 mg/day; n =1037) or placebo (n = 523). Endpoints included percentage change from baseline to months 12/24 in whole-brain, cGM, and thalamic volumes; change in nMTR from baseline to months 12/24 in NABT, cGM, and NAWM; MTR recovery in newly formed lesions. RESULTS: Compared with placebo, siponimod significantly reduced progression of whole-brain and GM atrophy over 12/24 months, and was associated with improvements in brain tissue integrity/myelination within newly formed nMTR lesions and across NABT, cGM, and NAWM over 24 months. Effects were consistent across age, disease duration, inflammatory activity subgroups, and disease severity. CONCLUSION: Siponimod reduced brain tissue damage in patients with SPMS as evidenced by objective measures of brain tissue integrity/myelination. This is consistent with central nervous system (CNS) effects observed in preclinical models. ClinicalTrials.gov number: NCT01665144.
Multiple sclerosis (MS) is a chronic, inflammatory, demyelinating, neurodegenerative
disease of the central nervous system (CNS). At disease onset, most patients (~85%)
receive a diagnosis of relapsing-remitting multiple sclerosis (RRMS) and 25%–40%
advance to secondary progressive multiple sclerosis (SPMS) within
10 years.[1,2]RRMS is characterized by relapses with full or partial recovery followed by periods
of remission, with pathophysiology apparently driven primarily by peripherally
mediated focal inflammation.[3,4]
SPMS is distinguished from RRMS by disability progression independent of
relapses.[1,2,5] In SPMS,
relapses become less frequent over time; approximately 30% of patients experience
relapses, most of which occur within 5 years of SPMS onset and/or before the age of 55 years.
SPMS pathophysiology is not fully characterized but is believed to involve
chronic inflammation compartmentalized in the CNS and failure or exhaustion of
myelin repair mechanisms.[3,4]
In addition to compartmentalized inflammation, a loss of compensatory reserve
capacity may be relevant for the emergence of clinical progression in the absence of relapses.Conventional T2- and T1-weighted magnetic resonance imaging (MRI) has been very
revealing of the peripherally mediated focal inflammation that underlies relapses in
MS, but less so of the compartmentalized inflammation more closely associated with
progression. The latter requires quantitative analysis methods to detect accelerated
rates of global and regional brain volume loss (e.g. gray matter (GM) volume loss),
and changes within lesional and normal-appearing tissues, such as myelin loss and
repair. However, MRI measurements of total brain volume loss do not provide specific
information on disease pathophysiology because small changes may be caused by
several processes, including neuronal/axonal loss, demyelination, and inflammation.
MRI measurements of GM atrophy and magnetization transfer ratio (MTR) may
provide better insights into different pathological pathways involved in
neurodegeneration in SPMS. Cortical gray matter (cGM) and thalamic volume loss are
also associated with long-term disability accumulation and cognitive
decline.[8-10] GM atrophy is
also linked to neurodegenerative worsening in progressive disease beyond the
relapsing, inflammation-driven processes that occur earlier in MS.[11-14] Since myelin is the primary
target of inflammation in MS, the measurement of changes in myelin content is also
of particular interest. This can be accomplished on clinical scanners using MTR
imaging. Change in MTR has been shown to be a marker of myelin density in the brain.Siponimod is an oral sphingosine 1-phosphate (S1P) receptor modulator that
selectively binds to S1P1 and S1P5 receptors.
Indications for siponimod vary; it is approved in Europe in adults with
active SPMS (i.e. with relapses or imaging features of disease activity),
in the United States in relapsing forms of MS, including clinically isolated
syndrome, RRMS, and active SPMS,
and in some countries (e.g. Australia and Japan), in all patients with
SPMS.Clinical and preclinical evidence supports a dual mechanism of action for siponimod.
Peripherally mediated anti-inflammatory effects through the S1P1 receptor
reduce the egress of pathogenic lymphocytes from lymph nodes, limiting the number of
circulating lymphocytes entering the CNS.
Preclinical data also suggest direct anti-inflammatory and promyelination
effects of siponimod acting via the S1P1 and S1P5 receptors on
CNS-resident cells, including astrocytes, microglia, and oligodendroglial
cells.[19-23]In the phase 3 EXPAND study, siponimod was investigated in a broad population with
SPMS (Expanded Disability Status Scale (EDSS) score of 3.0−6.5), including patients
with advanced disease (>50% required walking aids at study entry (EDSS ⩾6.0)).
Compared with placebo, siponimod significantly reduced: the risk of 3-month
confirmed disability progression (assessed by EDSS) by 21% and of 6-month
progression by 26%;
the risk of meaningful worsening in cognitive processing speed (determined as
a ⩾4-point decline in the Symbol Digit Modalities Test (SDMT) score);[16,24,25] and total
brain volume loss.
In addition, a significant effect was also observed on measures of
inflammatory disease activity, including reduction in annualized relapse rate by
55%, MRI T2 and T1 gadolinium lesion activity by 81% and 86%, respectively, and a
significant reduction in T2 lesion volume.Given the efficacy of siponimod on clinical measures of progression, any effects on
GM atrophy and MTR may give further insights into its dual mechanisms of action.
Currently, little evidence exists on the impact of disease-modifying therapies
(DMTs) on regional atrophy and MTR outcomes in populations with SPMS. One previous
study observed no overall effect of interferon β1b on the worsening of MTR measures.
Some evidence also exists in populations with RRMS, with previous studies
having shown effects of dimethyl fumarate and alemtuzumab.[27,28] Overall, more information is
needed from large-scale studies to assess the impact of specific DMTs on these MRI
measures, especially in patients with progressive MS.Using data from EXPAND, we assessed the effect of siponimod versus placebo on
cortical and thalamic GM atrophy, as well as changes in normalized magnetization
transfer ratio (nMTR) measurements in normal-appearing brain tissue (NABT), cGM, and
normal-appearing white matter (NAWM), and newly formed nMTR lesions in a population
with SPMS.
Methods
Trial design and patients
The EXPAND (NCT01665144) study methodology was reported.
In brief, EXPAND was a phase 3, randomized, double-blind,
placebo-controlled, event- and exposure-driven study of up to 37 months’
duration (median [interquartile range] = 21.3 [15.5–27.0] months) investigating
the efficacy and safety of siponimod in patients with SPMS. Patients were
randomized (2:1) to once-daily oral siponimod 2 mg or placebo. Key eligibility
criteria included age 18–60 years, a diagnosis of SPMS, EDSS score of 3.0–6.5 at
screening, a history of RRMS, documented EDSS score progression in the past
2 years, and no evidence of relapses in the previous 3 months. The protocol was
approved by the relevant institutional review board or ethics committee at each
trial site; all patients provided written informed consent.
Procedures
At all sites, standard-resolution MRI scans (1 mm × 1 mm × 3 mm) were scheduled
at screening, at months 12, 24, and 36, and at the end of the controlled
treatment phase (end of study (EOS) scan; if different from annual visits). MRI
scans were also conducted in patients who discontinued prematurely from the
double-blind study period and/or study treatment (end of treatment (EOT)
scan).Either MTR (1 mm × 1 mm × 3 mm) or high-resolution (1 mm isotropic) T1-weighted
MRI sequences were added to conventional MRI scans at centers meeting
prespecified technical requirements. MRI data were analyzed independently at a
central site (NeuroRx Research, Montreal, QC, Canada) by staff blinded to
treatment assignment.Percentage brain volume change, percentage cGM volume change, and thalamic volume
change were measured from baseline to each follow-up time point (i.e. at month
12, month 24, EOT, and EOS) using the paired Jacobian integration.
GM atrophy was initially measured in the cohort of patients with
high-resolution MRI scanning. This was because of theoretical concerns about
partial volume effects when assessing smaller and more complex brain structures,
such as the thalamus and hippocampus. However, review of the results from the
standard- and high-resolution MRI scans showed that the effects of the different
scanning protocol were small. All patients underwent standard-resolution MRI
scans; however, for those patients who also underwent high-resolution MRI scans,
GM atrophy measures were only processed from high-resolution MRI scans to avoid
double-counting. The combined MRI set comprised both the standard- and
high-resolution sets. Full details on the acquisition methodologies and scanners
are provided in the Supplementary Appendix and MRI Appendix documents.
Objectives and endpoints
The objectives of the EXPAND analysis described here were to evaluate the effect
of siponimod versus placebo on total brain volume (secondary objective), cGM and
thalamic volume, and nMTR (exploratory objectives).The following endpoints were assessed: percentage change from baseline to months
12 and 24 in total brain volume, cGM volume, and thalamic volume; change in nMTR
from baseline to months 12 and 24 in NABT, cGM, and NAWM; and nMTR recovery in
newly formed MTR lesions (i.e. new areas of decreased MTR defined on MTR images
at month 12 in most cases, or at month 24 if a subsequent scan was available at
month 36), which may reflect remyelination, assessed by the change in stable
nMTR from pre- to post-lesion time points.
Statistical analyses
Analyses were performed for both the full analysis set (FAS) and per-protocol set
(PPS). The FAS included all randomized patients with assigned treatments who
received ⩾1 dose of study drug; the PPS included all patients in the FAS, except
those with major protocol deviations or with efficacy data collected after
permanent study drug discontinuation. A greater focus was placed on analyses in
the PPS because potentially confounding data from patients who switched from
placebo to open-label siponimod as rescue medication were not included in the PPS.
FAS analyses are included in the Supplementary Appendix.In these analyses, the EOT and EOS scans, which are not time point-specific, were
remapped to one of the scheduled time points (i.e. month 12, 24, or 36).
Percentage change in total brain, cGM, and thalamic volumes were analyzed using
a repeated-measures model adjusted for treatment, visit, normalized brain
volume, number of baseline gadolinium-enhancing lesions, baseline T2 lesion
volume, and visit-by-treatment and visit-by-baseline brain volume interactions.
An unstructured covariance matrix was used in the repeated-measures model to
account for the variance in percent volume change at each time point and
covariance between time points. These analyses were performed in patients with
high-resolution scans and in patients with standard-resolution scans. Analyses
for the combined MRI cohort were also conducted. The consistency of the
treatment effect in patients with high- versus standard-resolution scans was
further evaluated using subgroup- (high vs standard) by-treatment interaction
tests. This analysis did not evidence heterogeneity between subgroups (Supplemental Table S1).In the combined MRI cohort, cGM volume and thalamic volume were analyzed in
subgroups stratified by baseline age (⩽45 years or >45 years), disease
duration (⩽15 years or >15 years), EDSS score (<6.0 or ⩾6.0), SDMT score
(⩽43 or >43), and SPMS activity (active SPMS was defined as ⩾1 relapse in the
2 years before screening and/or ⩾1 gadolinium-enhancing lesion at baseline).MTR was analyzed in the MTR patient cohort. Variations in MTR acquired on
different scanners were reduced by MTR normalization, by setting the MTRs of
high-confidence cGM to 0 and of high-confidence white matter to 1 on the MTR
scan of a healthy control individual on the same scanner. A repeated-measures
model, accounting for within-patient correlation, was used to obtain nMTR
estimates in NABT, cGM, and NAWM. The model was adjusted for treatment, visit,
baseline median nMTR of respective brain tissue, baseline number of
gadolinium-enhancing lesions, baseline T2 lesion volume, and visit-by-treatment
and visit-by-baseline interactions.Lesional nMTR recovery was assessed in new nMTR lesions
by comparing nMTR decrease from post-lesion to pre-lesion time points for
siponimod versus placebo. Of note, at least three nMTR scans were required to
assess lesional nMTR recovery (pre-lesion, peri-lesion, and post-lesion).
Considering the duration of the study, the majority of peri-lesional scans were
obtained at the month 12 visit (or remapped month 12 visit). The latest
available measurements before and after the formation of a new lesion were
considered. Given the yearly scans, these measurements represented stable pre-
and post-lesion MTR values because the period of acute lesion recovery lasts
approximately 4 months. Results were analyzed in the FAS by a multilevel model
that accounted for within-lesion and within-patient correlations. The model was
adjusted for treatment, lesion time points, age, and treatment-by-time point
interaction. Lesion volume was used as a weighting factor, and estimates were
derived for pre-lesional and post-lesional time points. A model including all
possible measurements at any time point (i.e. pre-lesional, new lesion, and
post-lesional) was also derived.
Results
Patient characteristics
In total, GM volume measurements were analyzed from 546 patients (siponimod,
n = 376; placebo, n = 170) who underwent
high-resolution MRI scans and from 1007 patients (siponimod,
n = 656; placebo, n = 351) with
standard-resolution MRI scans. The subset for MTR analyses included 606 patients
(siponimod, n = 388; placebo, n = 218).
Baseline demographic and disease characteristics were broadly similar across all
subsets of patients and the overall EXPAND population (Table 1).
Duration of MS since first symptom, years, mean (SD)
17.1 (8.4)
16.1 (8.5)
16.8 (8.2)
16.6 (7.8)
16.7 (8.1)
16.2 (8.7)
17.0 (8.3)
16.2 (8.3)
Time since conversion to SPMS, years, mean (SD)
3.6 (3.3)
3.2 (3.2)
4.1 (3.9)
4.0 (3.2)
3.5 (3.3)
3.1 (3.2)
3.8 (3.5)
3.5 (3.2)
Baseline EDSS score, median (range)
6.0 (2.5–6.5)
6.0 (2.5–7.0)
6.0 (2.5–7.0)
6.0 (3.0–6.5)
6.0 (2.5–6.5)
6.0 (2.5–7.0)
6.0 (2.5–7.0)
6.0 (2.5–7.0)
SDMT score, mean (SD)
39.5 (13.7)
39.9 (13.6)
37.5 (14.3)
38.0 (13.1)
39.6 (13.3)
40.3 (13.3)
38.8 (14.0)
39.3 (13.4)
Normalized brain volume, cm3, mean (SD)
1434.0 (81.2)
1431.9 (86.0)
1403.4 (92.0)
1405.2 (87.1)
1430.3 (80.5)
1434.1 (89.7)
1422.7 (86.5)
1423.5 (87.3)
Cortical gray matter volume, cm3, mean (SD)
514.4 (49.4)
511.5 (56.8)
542.3 (56.0)
542.8 (52.3)
516.2 (47.7)
512.9 (55.6)
524.3 (53.5)
521.6 (57.3)
Thalamic volume, cm3, mean (SD)
13.9 (1.9)
13.9 (1.9)
14.0 (2.1)
14.1 (1.9)
14.0 (1.8)
14.0 (1.9)
13.9 (2.0)
13.9 (1.9)
Patients with ⩾1 Gd+ T1 lesion at baseline,
n (%)
133 (20.9)
69 (20.2)
94 (25.8)
37 (22.6)
77 (20.4)
39 (18.6)
227 (22.6)
107 (21.1)
T2 lesion volume, cm3, mean (SD)
15.1 (16.1)
14.3 (15.9)
16.7 (16.9)
15.7 (15.2)
14.3 (15.1)
14.2 (15.9)
15.7 (16.4)
14.7 (15.7)
EDSS: Expanded Disability Status Scale; FAS: full analysis set; Gd+:
gadolinium-enhancing; GM: gray matter; MRI: magnetic resonance
imaging; MS: multiple sclerosis; MTR: magnetization transfer ratio;
PPS: per-protocol set; SD: standard deviation; SDMT: Symbol Digit
Modalities Test; SPMS: secondary progressive multiple sclerosis.
PPS included all patients from the FAS who did not have any major
protocol deviations that could confound interpretation.
Seven patients from the overall EXPAND population did not have any GM
measurement and accordingly are not included in the high-resolution
nor in the standard-resolution set.
Demographics and baseline characteristics (PPS
).EDSS: Expanded Disability Status Scale; FAS: full analysis set; Gd+:
gadolinium-enhancing; GM: gray matter; MRI: magnetic resonance
imaging; MS: multiple sclerosis; MTR: magnetization transfer ratio;
PPS: per-protocol set; SD: standard deviation; SDMT: Symbol Digit
Modalities Test; SPMS: secondary progressive multiple sclerosis.PPS included all patients from the FAS who did not have any major
protocol deviations that could confound interpretation.Seven patients from the overall EXPAND population did not have any GM
measurement and accordingly are not included in the high-resolution
nor in the standard-resolution set.
GM atrophy analyses
In the combined MRI cohort, siponimod slowed cGM (with consistent effects in the
high- and standard-resolution MRI patient subsets (Supplemental Table S2)), thalamic, and total brain volume loss
versus placebo after 12 and 24 months of treatment (PPS; Figure 1).
Figure 1.
Percentage change in volume of (a) cGM, (b) thalamus, and (c) total brain
in the combined MRI cohort (PPSa).
cGM: cortical gray matter; CI: confidence interval; FAS: full analysis
set; Gd+: gadolinium-enhancing; LS: least-squares; M, month; MMRM:
multilevel model for repeated measures; MRI, magnetic resonance imaging;
PPS: per-protocol set.
Percentage changes in brain structure volumes from baseline were analyzed
using an MMRM adjusted for visit, treatment, baseline brain volume of a
specific region, number of Gd+ T1 lesions at baseline, T2 lesion volume
at baseline, treatment-by-visit interaction, and baseline total brain
volume-by-visit interaction.
aPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.
Percentage change in volume of (a) cGM, (b) thalamus, and (c) total brain
in the combined MRI cohort (PPSa).cGM: cortical gray matter; CI: confidence interval; FAS: full analysis
set; Gd+: gadolinium-enhancing; LS: least-squares; M, month; MMRM:
multilevel model for repeated measures; MRI, magnetic resonance imaging;
PPS: per-protocol set.Percentage changes in brain structure volumes from baseline were analyzed
using an MMRM adjusted for visit, treatment, baseline brain volume of a
specific region, number of Gd+ T1 lesions at baseline, T2 lesion volume
at baseline, treatment-by-visit interaction, and baseline total brain
volume-by-visit interaction.aPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.Adjusted mean percentage changes in cGM volume from baseline to month 12 were
0.01 for siponimod and −0.60 for placebo (102% relative reduction in volume
loss; p < 0.0001); corresponding changes from baseline to
month 24 were −0.39 for siponimod and −1.04 for placebo (63% relative reduction
in volume loss; p < 0.0001; Figure 1(a)). Adjusted mean percentage
changes in thalamic volume from baseline to month 12 were −0.47 for siponimod
and −0.94 for placebo (50% relative reduction in volume loss;
p < 0.0001); corresponding changes from baseline to month 24
were −1.02 for siponimod and −1.77 for placebo (42% relative reduction in volume
loss; p < 0.0001; Figure 1(b)). Adjusted mean percentage
changes in total brain volume from baseline to month 12 were −0.23 for siponimod
and −0.45 for placebo (49% relative reduction in volume loss;
p < 0.0001); corresponding changes from baseline to month 24
were −0.62 for siponimod and −0.90 for placebo (31% relative reduction in volume
loss; p < 0.0001; Figure 1(c)). The effects of siponimod
versus placebo on cGM, thalamic, and total brain atrophy were consistent in the
FAS (Supplemental Figure S1).Although the rate of cGM atrophy was constant/similar across subgroups, the rate
of thalamic atrophy was more pronounced in the group of patients with
inflammatory disease activity (i.e. gadolinium-enhancing lesions). Nevertheless,
reductions from baseline to months 12 and 24 in cGM and thalamic atrophy with
siponimod versus placebo were consistent across patient subgroups, regardless of
baseline age, disease duration, activity, or severity (based on EDSS and SDMT
baseline scores) in both the PPS (Figures 2 and 3) and the FAS (data not shown).
Figure 2.
Percentage change in cGM volume (a) from baseline to month 12 and (b)
from baseline to month 24 by subgroups according to baseline age,
disease duration, severity, or activitya in the combined MRI
cohort (PPSb).
cGM: cortical gray matter; CI: confidence interval; EDSS: Expanded
Disability Status Scale; FAS, full analysis set; Gd+:
gadolinium-enhancing; M: month; MRI: magnetic resonance imaging; PPS:
per-protocol set; SDMT: Symbol Digit Modalities Test; SPMS: secondary
progressive multiple sclerosis.
aPatients were considered to have active SPMS if they had ⩾1
relapse in the 2 years before the study and/or had ⩾1 Gd+ lesion at
baseline; superimposed relapses and Gd+ lesions subgroups are based on
events 2 years before or at baseline, respectively.
bPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.
Figure 3.
Percentage change in thalamic volume (a) from baseline to month 12 and
(b) from baseline to month 24 by subgroups according to baseline age,
disease duration, severity, or activitya in the combined
standard-resolution and high-resolution MRI cohorts
(PPSb).
CI: confidence interval; EDSS: Expanded Disability Status Scale; FAS:
full analysis set; Gd+: gadolinium-enhancing; M: month; PPS:
per-protocol set; SDMT: Symbol Digit Modalities Test; SPMS: secondary
progressive multiple sclerosis.
aPatients were considered to have active SPMS if they had ⩾1
relapse in the 2 years before the study and/or had ⩾1 Gd+ lesion at
baseline; superimposed relapses and Gd+ lesions subgroups are based on
events 2 years before or at baseline, respectively.
bPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.
Percentage change in cGM volume (a) from baseline to month 12 and (b)
from baseline to month 24 by subgroups according to baseline age,
disease duration, severity, or activitya in the combined MRI
cohort (PPSb).cGM: cortical gray matter; CI: confidence interval; EDSS: Expanded
Disability Status Scale; FAS, full analysis set; Gd+:
gadolinium-enhancing; M: month; MRI: magnetic resonance imaging; PPS:
per-protocol set; SDMT: Symbol Digit Modalities Test; SPMS: secondary
progressive multiple sclerosis.aPatients were considered to have active SPMS if they had ⩾1
relapse in the 2 years before the study and/or had ⩾1 Gd+ lesion at
baseline; superimposed relapses and Gd+ lesions subgroups are based on
events 2 years before or at baseline, respectively.bPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.Percentage change in thalamic volume (a) from baseline to month 12 and
(b) from baseline to month 24 by subgroups according to baseline age,
disease duration, severity, or activitya in the combined
standard-resolution and high-resolution MRI cohorts
(PPSb).CI: confidence interval; EDSS: Expanded Disability Status Scale; FAS:
full analysis set; Gd+: gadolinium-enhancing; M: month; PPS:
per-protocol set; SDMT: Symbol Digit Modalities Test; SPMS: secondary
progressive multiple sclerosis.aPatients were considered to have active SPMS if they had ⩾1
relapse in the 2 years before the study and/or had ⩾1 Gd+ lesion at
baseline; superimposed relapses and Gd+ lesions subgroups are based on
events 2 years before or at baseline, respectively.bPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.
MTR analyses
In the MTR subset, siponimod was associated with an increase in nMTR from
baseline or return to baseline levels in all brain tissues evaluated. These
effects were evident at month 24 (PPS; Figure 4).
Figure 4.
Change from baseline to months 12 and 24 in median nMTRa in
(a) NABT, (b) cGM, and (c) NAWM in the MTR subset (PPSb).
cGM: cortical gray matter; CI: confidence interval; FAS: full analysis
set; M: month; MTR: magnetization transfer ratio; NABT: normal-appearing
brain tissue; NAWM: normal-appearing white matter; nMTR: normalized
magnetization transfer ratio; PPS: per-protocol set.
aVariations in MTR acquired on different scanners were reduced
by MTR normalization, by setting the MTR of high-confidence cGM to 0 and
of high-confidence white matter to 1 on the MTR scan of a healthy
control individual on the same scanner.
bPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.
Change from baseline to months 12 and 24 in median nMTRa in
(a) NABT, (b) cGM, and (c) NAWM in the MTR subset (PPSb).cGM: cortical gray matter; CI: confidence interval; FAS: full analysis
set; M: month; MTR: magnetization transfer ratio; NABT: normal-appearing
brain tissue; NAWM: normal-appearing white matter; nMTR: normalized
magnetization transfer ratio; PPS: per-protocol set.aVariations in MTR acquired on different scanners were reduced
by MTR normalization, by setting the MTR of high-confidence cGM to 0 and
of high-confidence white matter to 1 on the MTR scan of a healthy
control individual on the same scanner.bPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.There were no significant differences in mean nMTR change from baseline to month
12 with siponimod versus placebo in NABT (−0.011 vs −0.014; between-treatment
difference: 21%; p = 0.7285), cGM (−0.007 vs −0.009;
between-treatment difference: 22%; p = 0.8308), or NAWM (−0.005
vs −0.018; between-treatment difference: 72%; p = 0.1550).
However, by month 24, mean nMTR had increased above baseline levels with
siponimod, but had continued to decrease in all tissues with placebo (mean nMTR
changes for siponimod vs placebo: NABT, 0.001 vs −0.055; between-treatment
difference: 102%; p = 0.0050; cGM, 0.008 vs −0.046;
between-treatment difference: 117%; p = 0.0141; NAWM, 0.010 vs
−0.056; between-treatment difference: 118%; p = 0.0004); the
average of the between-treatment differences at months 12 and 24 for NABT, cGM,
and NAWM was in the range 85%–105% (Figure 4). The effect of siponimod
versus placebo on reduction or suppression of nMTR decrease over time was
consistent in the PPS and the FAS (Supplemental Figure S2).Compared with placebo, siponimod reduced or suppressed nMTR decrease over time
across all patient subgroups (baseline age, disease duration, severity, or
activity) in both the PPS (Figure 5) and FAS (data not shown), although the differences did not
always reach nominal statistical significance. The magnitude of the
between-treatment differences varied across subgroups: from 70% to 170% for NABT
(Figure 5(a)); from
59% to 188% for cGM (Figure
5(b)); and from 81% to 195% for NAWM (Figure 5(c)).
Figure 5.
Change in median nMTR from baseline to 24 months in (a) NABT, (b) cGM,
and (c) NAWM by subgroups according to baseline age, disease duration,
severity, or activitya (PPSb).
cGM: cortical gray matter; CI: confidence interval; EDSS: Expanded
Disability Status Scale; FAS: full analysis set; Gd+:
gadolinium-enhancing; M: month; NABT: normal-appearing brain tissue;
NAWM: normal-appearing white matter; nMTR: normalized magnetization
transfer ratio; PPS: per-protocol set; SDMT: Symbol Digit Modalities
Test; SPMS: secondary progressive multiple sclerosis.
aPatients were considered to have active SPMS if they had ⩾1
relapse in the 2 years before the study and/or had ⩾1 Gd+ lesion at
baseline; superimposed relapses and Gd+ lesions subgroups are based on
events 2 years before or at baseline, respectively.
bPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.
Change in median nMTR from baseline to 24 months in (a) NABT, (b) cGM,
and (c) NAWM by subgroups according to baseline age, disease duration,
severity, or activitya (PPSb).cGM: cortical gray matter; CI: confidence interval; EDSS: Expanded
Disability Status Scale; FAS: full analysis set; Gd+:
gadolinium-enhancing; M: month; NABT: normal-appearing brain tissue;
NAWM: normal-appearing white matter; nMTR: normalized magnetization
transfer ratio; PPS: per-protocol set; SDMT: Symbol Digit Modalities
Test; SPMS: secondary progressive multiple sclerosis.aPatients were considered to have active SPMS if they had ⩾1
relapse in the 2 years before the study and/or had ⩾1 Gd+ lesion at
baseline; superimposed relapses and Gd+ lesions subgroups are based on
events 2 years before or at baseline, respectively.bPPS included all patients from the FAS who did not have any
major protocol deviations that could confound interpretation.In newly formed nMTR lesions, siponimod was associated with improved nMTR
recovery versus placebo. Total decrease in nMTR from stable pre-lesion to stable
post-lesion values was less with siponimod than placebo (−1.35 vs −1.71;
between-treatment difference: 0.36; p < 0.0001) (Table 2). This model
was based on the latest pre-lesion and latest post-lesion measurements. Similar
results were obtained using a multilevel model with all pre-lesion, new lesion,
and post-lesion time points included (Figure 6).
Table 2.
nMTR recovery in nMTR lesions (FAS
).
Siponimod (N = 413,
N’ = 72)
Placebo (N = 226,
N’ = 80)
Treatment difference (siponimod vs
placebo)
p-value
nMTR drop (accounting for lesion volume)
−1.35
−1.71
0.36
<0.0001
FAS: full analysis set; MTR: magnetization transfer ratio;
N: number of patients in MTR subset;
N’: number of patients with at least one MTR
lesion; nMTR: normalized magnetization transfer ratio.
nMTR drop (i.e. nMTR recovery metrics) describes the total decrease
in nMTR from pre- to post-nMTR lesion time points. At least three
MTR scans were needed: (1) to obtain a stable pre-lesion nMTR value;
(2) to detect an acute drop in nMTR indicative of a newly forming
lesion; and (3) to obtain a stable post-lesion nMTR value. In this
analysis, the latest available measurement before the formation of a
new lesion was taken as pre-lesion time point, and the latest
available measurement after the formation of a new lesion was taken
as the post-lesion time point. Peri-lesion time points were not
included.
FAS included all randomized patients with assigned treatments who
took at least one dose of study medication.
Figure 6.
nMTR recovery metrics in nMTR lesions using a model that included all
pre-lesional, new lesion, and post-lesional measurements
(FASa).
FAS: full analysis set; GM: gray matter; MTR: magnetization transfer
ratio; nMTR: normalized magnetization transfer ratio; WM: white
matter.
nMTR drop (i.e. nMTR recovery metrics) describes the total decrease in
nMTR from pre- to post-nMTR lesion time points.
aFAS included all randomized patients with assigned treatments
who took at least one dose of study medication.
nMTR recovery metrics in nMTR lesions using a model that included all
pre-lesional, new lesion, and post-lesional measurements
(FASa).FAS: full analysis set; GM: gray matter; MTR: magnetization transfer
ratio; nMTR: normalized magnetization transfer ratio; WM: white
matter.nMTR drop (i.e. nMTR recovery metrics) describes the total decrease in
nMTR from pre- to post-nMTR lesion time points.aFAS included all randomized patients with assigned treatments
who took at least one dose of study medication.nMTR recovery in nMTR lesions (FAS
).FAS: full analysis set; MTR: magnetization transfer ratio;
N: number of patients in MTR subset;
N’: number of patients with at least one MTR
lesion; nMTR: normalized magnetization transfer ratio.nMTR drop (i.e. nMTR recovery metrics) describes the total decrease
in nMTR from pre- to post-nMTR lesion time points. At least three
MTR scans were needed: (1) to obtain a stable pre-lesion nMTR value;
(2) to detect an acute drop in nMTR indicative of a newly forming
lesion; and (3) to obtain a stable post-lesion nMTR value. In this
analysis, the latest available measurement before the formation of a
new lesion was taken as pre-lesion time point, and the latest
available measurement after the formation of a new lesion was taken
as the post-lesion time point. Peri-lesion time points were not
included.FAS included all randomized patients with assigned treatments who
took at least one dose of study medication.
Discussion
MRI measures of GM atrophy and brain tissue integrity/myelination provide important
insights into changes occurring in brain tissue and may be seen as indicators of
chronic, compartmentalized CNS inflammation and neurodegeneration, the primary
drivers of progression in patients with SPMS.
Treatment response on these MRI markers may therefore represent a therapeutic
impact on these chronic inflammatory and neurodegenerative pathways. This analysis
from EXPAND showed that, compared with placebo, siponimod is associated with slowing
of both cortical and thalamic volume loss, improvement in brain tissue
integrity/myelination (assessed by nMTR), and improvement in nMTR recovery in newly
formed lesions in patients with SPMS. These findings are compatible with, although
not proof of, a direct effect of siponimod on neurodegenerative processes beyond
suppression of peripheral inflammation.Siponimod consistently slowed the progression of cGM atrophy (by 46%–76%) and
thalamic atrophy (by 30%–61%) across subgroups stratified by age, disease duration,
disease severity (both cognitive and physical), and inflammatory disease activity. A
pronounced difference in the dynamics of volume loss was seen between cGM and the
thalamus. The presence of gadolinium-enhancing lesions accelerated volume loss in
the thalamus but had little impact on cGM atrophy. This observation suggests that
different dynamics drive cGM atrophy (less affected by acute inflammatory activity)
and thalamic atrophy (substantially affected by acute inflammatory activity).
Nevertheless, the effect of siponimod was consistent in patients with or without
inflammatory disease activity (i.e. gadolinium-enhancing lesions). Thus, these
findings all together suggest that the action of siponimod is being mediated (at
least in part) independently of effects on acute inflammation. Reductions in GM
atrophy have been associated with positive effects on long-term clinical outcomes,
including disability progression and cognitive decline.[8-10] The reduced GM atrophy
observed here contributes to the previous reported delays in progression of physical
disability and cognitive impairment observed with siponimod versus placebo in
EXPAND.[24,25] Interestingly, other potent anti-inflammatory DMTs such as
natalizumab did not show conclusive effects on these measures in patients with SPMS.
Ocrelizumab reported significant effects on thalamic atrophy but no
significant effects in reducing cGM atrophy in patients with progressive MS.Siponimod positively affected brain tissue integrity/myelination (assessed by nMTR),
consistently slowing nMTR decrease over 24 months in NABT (by 70%–170%), cGM (by
59%–188%), and NAWM (by 81%–195%). This effect was most pronounced in NAWM, in which
a significant increase in nMTR relative to placebo was observed in most subgroups.
Importantly, diffuse injury in NAWM is closely associated with cortical lesion volume.
Effects on nMTR became more pronounced over time, with nMTR returning to or
surpassing baseline in patients treated with siponimod. Although MTR increases may
be associated with resolution of edema, the changes reported here were made in
normal-appearing tissues, which are not subject to large changes in water content,
and in acute lesions with reference to stable pre-lesion and post-lesion levels.
Under these circumstances, the recovery of inflammatory edema associated with acute
lesions is not relevant, and these changes could be interpreted as reflecting
improvements in myelin density and tissue integrity. This is supported by the fact
that nMTR recovered to a greater extent with siponimod than with placebo even in
patients without inflammatory disease activity. The fact that the treatment effect
on nMTR only became apparent during the second year of treatment suggests that
measures of neurodegeneration and neuroprotective mechanisms may need to be
monitored over a relatively long time before becoming detectable. The fact that
siponimod improved nMTR recovery in newly formed nMTR lesions is consistent with
observations from preclinical studies showing that siponimod promotes
remyelination.[22,33]There is little precedence in the clinical trial literature of currently approved
DMTs for the observations reported here with siponimod in patients with SPMS. Other
DMTs have been reported to slow cortical and thalamic GM atrophy mainly in relapsing
MS.[32,34] Reports of
increased MTR levels have been made in relapsing MS, where dimethyl fumarate has
been shown to increase MTR in normal-appearing tissues
but not in newly formed lesions, and not in SPMS. Observations from
preclinical models support a promyelinating effect of siponimod.[22,33] Taken
together with the findings from this study, siponimod may have an impact on the
neurodegenerative component of SPMS (in addition to anti-inflammatory effects) that
may have contributed to the reduced risk of disability progression and of cognitive
worsening observed with siponimod versus placebo in EXPAND. Most DMTs approved for
relapsing MS, including highly effective anti-inflammatory drugs such as natalizumab,
failed to slow disability progression when studied in SPMS or primary
progressive multiple sclerosis (PPMS). Conversely, ibudilast, a DMT in development,
was associated with benefits on markers of neurodegeneration but not on markers of
acute inflammation in a phase 2 trial in patients with progressive MS.
Thus, therapeutic action on inflammation and neurodegeneration is de-coupled
in other DMTs. As shown in clinical and preclinical studies, siponimod appears to
affect both neurodegeneration/demyelination and inflammation, consistent with a dual
mode of action.A few limitations to this study are important to appreciate. Brain volume changes on
the order of a fraction of a percent can result from causes other than irreversible
neurodegeneration, and the subtle increases in brain volume observed here could
reflect increases in the volume of glial cells, and not necessarily neuronal cells
(although this may still be an important neuroprotective effect). Similarly, the
changes in MTR, although relatively specific for myelin, are associated with changes
in other tissue components, which tend to change in a correlated fashion. Changes in
tissue water can be associated with small changes in brain volume or MTR simply
because of dilution or concentration. However, for this effect to be responsible for
the observations reported here, increases in MTR would have to have been associated
with increased atrophy, which was not the case. Considering that MRI scans in this
study were scheduled annually, it was not possible to determine the exact time of
onset of lesion formation for all MTR lesions. This analysis also relied on the
assumption that MTR values were stable outside the period of acute lesion formation
and recovery.In summary, these beneficial effects of siponimod on regional brain atrophy and
tissue integrity/myelination are consistent with previous preclinical findings and
highlight possible direct CNS effects of siponimod, which may be relevant to its
effects on disability progression and cognitive processing speed in patients with
SPMS.Click here for additional data file.Supplemental material, sj-doc-1-msj-10.1177_13524585221076717 for Effect of
siponimod on magnetic resonance imaging measures of neurodegeneration and
myelination in secondary progressive multiple sclerosis: Gray matter atrophy and
magnetization transfer ratio analyses from the EXPAND phase 3 trial by Douglas L
Arnold, Daniela Piani-Meier, Amit Bar-Or, Ralph HB Benedict, Bruce AC Cree,
Gavin Giovannoni, Ralf Gold, Patrick Vermersch, Sophie Arnould, Frank Dahlke,
Thomas Hach, Shannon Ritter, Göril Karlsson, Ludwig Kappos and Robert J Fox in
Multiple Sclerosis JournalClick here for additional data file.Supplemental material, sj-docx-1-msj-10.1177_13524585221076717 for Effect of
siponimod on magnetic resonance imaging measures of neurodegeneration and
myelination in secondary progressive multiple sclerosis: Gray matter atrophy and
magnetization transfer ratio analyses from the EXPAND phase 3 trial by Douglas L
Arnold, Daniela Piani-Meier, Amit Bar-Or, Ralph HB Benedict, Bruce AC Cree,
Gavin Giovannoni, Ralf Gold, Patrick Vermersch, Sophie Arnould, Frank Dahlke,
Thomas Hach, Shannon Ritter, Göril Karlsson, Ludwig Kappos and Robert J Fox in
Multiple Sclerosis Journal
Authors: Raju Kapoor; Pei-Ran Ho; Nolan Campbell; Ih Chang; Aaron Deykin; Fiona Forrestal; Nisha Lucas; Bei Yu; Douglas L Arnold; Mark S Freedman; Myla D Goldman; Hans-Peter Hartung; Eva Kubala Havrdová; Douglas Jeffery; Aaron Miller; Finn Sellebjerg; Diego Cadavid; Dan Mikol; Deborah Steiner Journal: Lancet Neurol Date: 2018-03-12 Impact factor: 44.182
Authors: Anand J C Eijlers; Quinten van Geest; Iris Dekker; Martijn D Steenwijk; Kim A Meijer; Hanneke E Hulst; Frederik Barkhof; Bernard M J Uitdehaag; Menno M Schoonheim; Jeroen J G Geurts Journal: Brain Date: 2018-09-01 Impact factor: 13.501
Authors: Douglas L Arnold; Ralf Gold; Ludwig Kappos; Amit Bar-Or; Gavin Giovannoni; Krzysztof Selmaj; Minhua Yang; Ray Zhang; Monica Stephan; Sarah I Sheikh; Katherine T Dawson Journal: J Neurol Date: 2014-10-01 Impact factor: 4.849
Authors: Shahrukh Mallik; Rebecca S Samson; Claudia A M Wheeler-Kingshott; David H Miller Journal: J Neurol Neurosurg Psychiatry Date: 2014-04-25 Impact factor: 10.154
Authors: Kunio Nakamura; Nicolas Guizard; Vladimir S Fonov; Sridar Narayanan; D Louis Collins; Douglas L Arnold Journal: Neuroimage Clin Date: 2013-10-29 Impact factor: 4.881
Authors: Bruce Ac Cree; Douglas L Arnold; Robert J Fox; Ralf Gold; Patrick Vermersch; Ralph Hb Benedict; Amit Bar-Or; Daniela Piani-Meier; Nicolas Rouyrre; Shannon Ritter; Ajay Kilaru; Goeril Karlsson; Gavin Giovannoni; Ludwig Kappos Journal: Mult Scler Date: 2022-04-05 Impact factor: 5.855