Skip to main content
Erschienen in: Journal of Neurology 2/2017

Open Access 25.11.2016 | Original Communication

Lesion remyelinating activity of GSK239512 versus placebo in patients with relapsing-remitting multiple sclerosis: a randomised, single-blind, phase II study

verfasst von: Caryl J. Schwartzbach, Richard A. Grove, Robert Brown, Debra Tompson, Florian Then Bergh, Douglas L. Arnold

Erschienen in: Journal of Neurology | Ausgabe 2/2017

Abstract

Histamine H3 receptor blockade may enhance lesion remyelination in multiple sclerosis (MS). The efficacy (using a magnetic resonance imaging marker of myelination, magnetisation transfer ratio [MTR]), safety and pharmacokinetics of GSK239512, a potent and brain penetrant H3 receptor antagonist/inverse agonist on lesion remyelination in relapsing-remitting MS (RRMS) were assessed. This was a phase II, randomised, parallel-group, placebo-controlled, double-blind (sponsor-unblinded), international, multicentre study (NCT01772199). Patients aged 18–50 with RRMS, receiving intramuscular interferon-β1a or glatiramer acetate, were randomised 1:1 to once-daily oral GSK239512 or placebo, up-titrated over 4–5 weeks to a maximum tolerable dose up to 80 µg and maintained until Week 48. The co-primary endpoints were mean changes in post-lesion MTR in gadolinium-enhanced (GdE) or Delta-MTR defined lesions from pre-lesion values. Adverse events (AE) and withdrawals were monitored. Of the 131 patients randomised, 114 patients completed the study (GSK239512, n = 51; placebo, n = 63) and 27 (GSK239512) and 28 (placebo) patients contributed lesions to the primary analysis. GSK239512 was associated with positive effect sizes of 0.344 [90% confidence interval (CI) 0.018, 0.671] and 0.243 (90% CI −0.112, 0.598) for adjusted mean changes in the normalised MTR for GdE and Delta-MTR lesions, respectively. The overall incidence of AEs was similar between GSK239512 and placebo during the treatment phase although some AEs including insomnia were more common with GSK239512, particularly during the titration period. A small but positive effect of GSK239512 on remyelination was observed. MTR assessment represents a promising method for detecting lesion remyelination in RRMS.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1007/​s00415-016-8341-7) contains supplementary material, which is available to authorized users.
F. Then Bergh and D. L. Arnold: Joint last authors.

Background

Multiple sclerosis (MS) is a chronic progressive neurologic disorder, characterised by inflammatory-demyelinating lesions in the central nervous system (CNS) and associated axonal loss. Relapsing-remitting MS (RRMS) accounts for 85% of all incident cases of MS and is associated with episodes of CNS dysfunction, reflecting acute inflammatory focal demyelination and subsequent spontaneous recovery, in turn reflecting resolution of focal inflammation and remyelination, with a variable contribution of CNS plasticity [1]. Remyelination is a naturally occurring process but is rarely complete, and failure becomes more extensive with increased disease duration [2].
Decreased oligodendrocyte precursor cell (OPC) differentiation may play a role in remyelination failure [3]. The promotion of remyelination through increased OPC differentiation may provide functional recovery and prevent or reduce irreversible disability accumulation. OPC differentiation is controlled by a range of molecules and their receptors, including constitutively active histamine H3 receptors expressed by neurons and OPCs [4]. The importance of constitutive H3R activity in OPC differentiation is demonstrated by the ability of inverse agonists, which inhibit both ligand-independent and ligand-dependent receptor activation but not neutral antagonists of H3R, to promote OPC differentiation [4, 5].
GSK239512 is a potent, selective, orally bioavailable and brain penetrant H3 receptor antagonist/inverse agonist, originally investigated for the treatment of cognitive impairment in Alzheimer’s disease (AD) and schizophrenia [68]. Previous clinical studies have indicated that GSK239512 is well tolerated as a monotherapy when titrated up to 80 µg, resulting in >90% H3 receptor occupancy in the brain at trough plasma concentrations [6, 7, 9]. GSK239512 promotes OPC differentiation in vitro and enhances remyelination in the cuprizone mouse model of remyelination [4].
Magnetisation transfer ratio (MTR) imaging on magnetic resonance imaging (MRI) can be used to assess myelin content in vivo. MTR changes have been demonstrated to correlate with myelin content in animal models [1013] and humans [1417]. The aim of this study was to determine the efficacy of GSK239512 in terms of lesion remyelination in patients with RRMS, using changes in MTR as a marker of remyelination.

Methods

Study design

This was a phase II, randomised, parallel-group, placebo (adjunct)-controlled, double-blind (sponsor-unblinded) study conducted across 34 centres in eight countries (Ukraine, Spain, Germany, Bulgaria, Canada, UK, Czech Republic and Sweden). ClinicalTrials.gov, number NCT01772199; GSK study identifier, H3M116477.
The study was conducted in accordance with the International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use, Good Clinical Practice (ICH-GCP) and the ethical principles outlined in the Declaration of Helsinki 2008 [18]. Ethics approval was obtained from respective countries’ Ethics Committees (Online resource 1). The study protocol is available online at http://​www.​gsk-clinicalstudyreg​ister.​com/​files2/​gsk-116477-protocol-redact.​pdf.

Participants

Inclusion criteria included age 18–50 years, MS diagnosis according to McDonald criteria [19], a relapsing-remitting course [20, 21], MS onset within 10 years of screening, stable disease-modifying treatment (DMT) with intramuscular interferon-β1a or glatiramer acetate for ≥1 year, recent disease activity [≥1 gadolinium-enhanced (GdE) lesion on MRI or reported relapse within the past year], and an Expanded Disability Status Scale (EDSS) [22] score of 1–4.5 at screening. Females were eligible if they were not pregnant, nursing, or of childbearing potential. Patients were excluded if they were unable to undergo regular MRI scans, had a history of severe and clinically significant CNS trauma, epilepsy, sleep disturbance, the presence or history of hallucinations, an uncontrolled medical condition, a significant electrocardiogram abnormality, or renal insufficiency. Online Resource 1 details full eligibility criteria. Patients remained on a stable DMT dose and regimen (either intramuscular interferon-β1a or glatiramer acetate) for the study duration. Patients provided written informed consent prior to any study-specific procedures.

Randomisation and masking

Randomisation was performed centrally, using a computer-generated randomisation schedule created by the study statistician, stratified according to DMT. Randomisation numbers were allocated to patients by an interactive voice recognition system (IVRS; RAMOS). Drug bottles were numbered and assigned as per treatment assignment and tablets were of identical appearance. All patients, site staff and sponsor staff directly involved in interactions with sites remained blinded to treatment assignment throughout the study. At the time of the interim analysis the statistician was unblinded to treatment assignment. Additionally, two clinical team members (Investigative Lead and Early Development Lead) were unblinded to treatment level results but not individual patient treatment assignment.

Procedures

Patients were randomised 1:1 to receive once-daily, oral GSK239512 or placebo for a treatment phase of up to 48-weeks (4- to 5-week titration period and maintenance period until Week 48). Patients started on GSK239512 10 µg or matching placebo and up-titrated weekly (20, 40 and 80 µg) to a maximum dose of 80 µg. If tolerability issues were reported, patients were either maintained at their current dose-level or down-titrated and/or the titration period extended by an additional week. The maximum tolerated dose during the titration period was continued during the maintenance period. One down-titration was permitted during the maintenance period if tolerability issues were reported. There was a minimum follow-up period of 2 weeks following end of treatment at Week 48 or early withdrawal.

Outcomes

Co-primary endpoints

The co-primary endpoints were mean changes in MTR post-lesion compared with pre-lesion in newly developed lesions (during the conduct of the study) defined by either GdE or Delta-MTR [23]. New GdE lesions were defined as an area of increased signal intensity on a post-contrast T1-weighted MRI that was not due to normal structures and was not present on a previous scan. New Delta-MTR lesions were defined as regions that experience a decrease in MTR that is greater than the 99th percentile of the normal variation measured in white matter (WM) from one scan to the next and was not present on a previous scan. Further details on how these lesions were identified are included in the Online Resource 1. Both GdE or Delta-MTR lesions were included as previous studies have found that areas of Gd enhancement are not always co-localised with Delta-MTR changes indicating demyelination [24, 25]; additionally, Delta-MTR lesions can demonstrate larger changes in myelination/demyelination, so provide more statistical power to detect treatment effects [24, 25]. This study was not designed to determine a direct effect on lesion formation.

Secondary endpoints

Secondary MRI endpoints included assessment of adjusted mean changes from baseline in T2 lesion MTR, the number of new or enlarging T2 or GdE lesions, cumulative unique active lesions, new unenhancing T1 lesions, new GdE lesions evolving into chronic unenhancing T1 black holes, and total brain, WM and grey matter (GM) volumes. MRI scans (including conventional and MTR sequences as described in Online Resource 1) were performed at approximately 6-week intervals. Secondary clinical and patient-reported outcomes included occurrence of relapse, disability and functionality, cognitive impairment and health outcomes. During the titration period, clinical visits occurred approximately every 7 days and during the maintenance period approximately every 4 weeks. Relapse was assessed as per the criteria by Polman et al. [19] at each clinical visit, based on subject self-reporting. Disability and functionality were assessed using EDSS at baseline and every 12 weeks, cognitive impairment by a CogState battery at baseline and at Week 12, 24 and 48, and health outcomes by Multiple Sclerosis Quality of Life (MSQoL)-54 at baseline and at Week 48 [26]. Safety assessments included monitoring adverse events (AEs) and serious AEs (SAEs), clinical laboratory tests, vital sign assessments and suicidal ideation or behaviours using the IVRS version of the Columbia-Suicide Severity Rating Scale. Pharmacokinetics were assessed for plasma concentrations at 0.5, 2 and 6 h post-dose at Week 8, and trough concentrations at Weeks 4, 8, 24, 36 and 48.

Statistical analysis

The intent-to-treat (ITT) population (all patients receiving ≥1 dose of study medication) was used for all efficacy and safety analyses. The co-primary endpoints were analysed using a mixed model for repeated measures [27]. The average change in MTR before and after new lesion formation was modelled separately for each lesion within each patient with at least two MRI scans pre- and post-lesion and an interval of at least 70 days from lesion formation to post-lesion scan, allowing for variation in effects between patients, between different lesions, within patients, and within lesions across time (Online Resource 1). The date of lesion identification is labelled as the reference MRI, and all visits are seen relative to that visit, described as relative MRIs. Statistical models were used to estimate treatment effect sizes of GSK239512 relative to placebo. Due to the exploratory nature of this study, no study endpoints were formally statistically powered and a sample size of approximately 100 patients was considered sufficient to estimate the effect size. Posterior probabilities were generated using Bayesian analyses using a non-informative prior distribution to calculate the posterior probability of the effect size being ≥0 based on data observed in the study, i.e. assessing potential effectiveness of the drug [28], and to provide an understanding of the probabilistic distribution of effect sizes for GSK23512 relative to placebo [29]. Full details on statistical analysis and sample size derivation can be found in Online Resource 1.

Role of the funding source

This study was funded by GSK (H3M116477). Some authors were employees of GSK at the time of the study and were involved in study design, data collection, data analysis, data interpretation, and the writing of the report. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Results

Of the 153 patients screened across 35 sites between 1 February and 19 August, 2013, 131 were randomised at 34 sites (65 to GSK239512; 66 to placebo). In total, 22 patients failed screening: 20 did not meet inclusion or exclusion criteria and two withdrew consent. All randomised patients were included in the ITT population and completed the titration period. A total of 114 patients, 51 (78%) in the GSK239512 and 63 (95%) in the placebo groups completed both the treatment and follow-up phases. Reasons for withdrawal are shown in Fig. 1.
In total, 55 (85%) and 65 (98%) patients in the GSK239512 and placebo groups, respectively, were able to titrate to 80 µg by the end of the titration period. During the maintenance period, five patients down-titrated from 80 to 40 µg in the GSK239512 group. Overall, patient demographics and baseline characteristics in both treatment groups were as expected for the target population and were balanced between treatment groups (Table 1). The mean and median number of days since relapse was greater in the GSK239512 compared with the placebo group.
Table 1
Summary of MS medical history at screening (ITT population)
 
Placebo (N = 66)
GSK239512 (N = 65)
Total (N = 131)
Age (years), mean (range)
36.2 (19–50)
36.4 (22–49)
36.3 (19–50)
Female, n (%)
41 (62)
42 (65)
83 (63)
Weight (kg), mean (range)
73.19 (48–128)
70.07 (48–109)
71.65 (48–128)
Body mass index (kg/m2), mean (range)
24.92 (16.0–40.4)
24.18 (16.9–36.7)
24.55 (16.0–40.4)
Caucasian, n (%)
66 (100)
65 (100)
131 (100)
Years since confirmation of diagnosis
5.12 (2.971)
4.74 (2.896)
4.93 (2.929)
Years since onset of symptoms
7.55 (3.920)
7.73 (4.383)
7.64 (4.141)
Receiving disease-modifying treatment, n (%)
 Intramuscular interferon-β1a
38 (58)
37 (57)
75 (57)
 Glatiramer acetate
28 (42)
28 (43)
56 (43)
Total number of relapses
4.2 (2.84)
4.2 (2.82)
4.2 (2.82)
Number of relapses (last 12 months)
1.1 (0.49)
1.1 (0.55)
1.1 (0.52)
Number of relapses (last 24 months)
1.8 (1.04)
1.8 (1.02)
1.8 (1.02)
Days since last relapsea
 Mean (SD)
184.9 (180.77)
232.3 (265.77)
208.4 (227.33)
 Median (range)
129 (7, 1243)
184 (7, 1597)
160 (7, 1597)
Number of scans with GdE lesions in last 12 monthsb, n (%)c
n = 28
n = 40
n = 68
 0
13 (46)
22 (55)
35 (51)
 1
14 (50)
18 (45)
32 (47)
 2
1 (4)
0
1 (1)
T2 lesion MTR at screening MRI, mean (SD)
−0.036 (0.324)
−0.048 (0.385)
 
Whole brain volume at screening MRI (cm2), mean (SD)
1486.3 (79.78)
1475.4 (68.87)
 
EDSS scores at screening, median (min, max)
2.50 (1.0–4.5)
2.50 (1.0–4.5)
 
Data shown represent mean (SD) unless otherwise specified
EDDS Expanded Disability Status Scale, GdE Gadolinium-enhanced, ITT intent-to-treat, MRI magnetic resonance imaging, MS multiple sclerosis, MTR magnetisation transfer ratio, SD standard deviation
aDays since last relapse are calculated based on the screening visit and date of relapse
bSubset of patients that had an MRI for GdE lesions in the 12 months before study enrolment
cProportion of patients with scan data
Overall, 92 lesions in 27 patients in the GSK239512 group and 97 lesions in 28 patients in the placebo group contributed to the primary analysis of GdE lesions. For Delta-MTR lesions, 69 lesions in 24 patients in the GSK239512 group and 77 lesions in 29 patients in the placebo group contributed to the primary analysis. The analysis excluded all MRI data 70 days pre- and post-reference lesion, and indicated that effect sizes for the change in GdE and Delta–MTR lesions were 0.344 (90% CI 0.018, 0.671) and 0.243 (90% CI −0.112, 0.598), respectively. The adjusted mean change in normalised MTR (difference between normal WM and GM) for GdE lesions was 0.149 (90% CI 0.008, 0.289; Fig. 2a) and Delta-MTR lesions was 0.105 (90% CI −0.049, 0.257; Fig. 2b) favouring GSK239512 over placebo (Table 2). These values are in calibrated MTR units [30] and are interpretable as improved MTR recovery corresponding to 15% (GdE) and 10% (Delta-MTR) of the difference between normal GM and WM. In the Bayesian analysis, estimated probabilities were 0.955 and 0.877 that the effect size for GSK239512 relative to placebo was greater than 0, for the change in post- versus pre-lesion for GdE and Delta-MTR lesions, respectively (Online Resource 2).
Table 2
Analysis of mean change in MTR value for all eligible GdE lesions and Delta-MTR lesions (ITT population)
Combined post-lesion MRIs
Treatment
Patients, N
Lesions, n
Adjusted mean change for normalised MTRa (WM-GM diff units)
Difference in adjusted mean change (90% CI)
ESb (90% CI)
Posterior probabilityc
GdE lesion
Placebo
28
97
−0.689
0.149 (0.008, 0.289)
0.344 (0.018, 0.671)
0.955
GSK239512
27
92
−0.541
Delta-MTR lesion
Placebo
29
77
−0.769
0.105 (−0.048, 0.257)
0.243 (−0.112, 0.598)
0.877
GSK239512
24
69
−0.665
CI confidence interval, ES effect size, GdE Gadolinium-enhanced, GM grey matter, ITT intent-to-treat, MRI magnetic resonance imaging, MTR magnetisation transfer ratio, WM white matter
aAdjusted mean change for normalised MTR is the post-lesion MTR value change from average pre-lesion MTR value
bES is defined as the treatment difference divided by the standard deviation of the treatment difference averaged across relative MRIs
cPosterior probability is the conditional probability that the ES > 0 given the data observed in the study assuming a non-informative prior distribution
At Week 48, there was an increase in lesion development observed trending in favour of placebo (Table 3); post hoc investigations identified an interaction between treatment group and GdE lesion presence on the screening MRI, indicating that patients in the small subgroup with no GdE lesions at the screening MRI had more than double the number of new lesions, on average, during the treatment period on GSK239512 compared with placebo (Online Resource 3). Over the duration of the study, observed changes in brain volume were small. At Week 48, no difference in evolution of whole brain, WM or GM volume was observed between treatment groups (Online Resource 4).
Table 3
Analysis of secondary MRI assessments at Week 48 (ITT population)
 
Patients, n
Adjusted mean change from screening
Difference in adjusted mean changea (90% CI)
ESb (90% CI)
Posterior probability
T2 lesion MTR at Week 48
 Placebo
57
0.002
−0.022 (−0.052, 0.009)
−0.246 (−0.588, 0.095)
0.120
 GSK239512
50
-0.020
 
Treatment
n
Mean rate
Treatment comparison
Ratioc (90% CI)
 
Cumulative number of new and enlarging lesions at Week 48
 New GdE lesions
Placebo
66
0.66
1.72 (1.05, 2.82)
 
GSK239512
64
1.14
  
 New and enlarging T2 lesions
Placebo
66
1.45
1.18 (0.75, 1.85)
 
GSK239512
64
1.71
  
 Cumulative unique active lesions
Placebo
66
1.48
1.17 (0.74, 1.85)
 
GSK239512
64
1.74
  
 New unenhanced T1 lesions
Placebo
66
0.50
1.38 (0.87, 2.18)
 
GSK239512
64
0.69
  
Cumulative new GdE lesions evolving into chronic unenhancing T1 black holes
Placebo
63
0.29
1.71 (1.05, 2.78)
 
GSK239512
57
0.50
  
Data taken from the AES, all evaluable scans dataset
CI confidence interval, ES effect size, GdE Gadolinium-enhanced, ITT intent-to-treat, MRI magnetic resonance imaging
aAdjusted mean change for normalised MTR is the post-lesion MTR value change from average pre-lesion MTR value
bES is defined as the treatment difference divided by the standard deviation of the treatment difference averaged across relative MRIs
cTreatment Ratio (GSK239512/Placebo). A ratio <1 indicates a lower risk with GSK239512 versus placebo
A total of 50 relapses (24 with GSK239512 and 26 with placebo were reported in 38 patients [18 with GSK239512 and 20 with placebo]) during the treatment phase. No difference in relapse rates between treatment groups was observed (GSK239512: 0.417 and placebo: 0.400 relapses per 48 weeks). No meaningful changes from baseline were observed on EDSS and CogState battery throughout the treatment phase and at Week 48 (Table 4). Changes from baseline in MSQoL at Week 48 are shown in Online Resource 5.
Table 4
Summary of clinical outcomes (ITT population)
 
n
Relapse rates: negative binomial regression
 
Mean rate of relapse (Total no. relapses)
Rate ratio (90% CI)
 
Placebo
66
0.40 (26)
1.04 (0.62, 1.77)
 
GSK239512
65
0.42 (24)
 
n
CogState score change from baseline
Adjusted mean (SE)
Difference versus placebo (90% CI)a,b
Effect size (90% CI)
Total score
    
 Placebo
56
0.16 (0.048)
−0.08 (−0.20, 0.04)
−0.24 (−0.59, 0.11)
 GSK239512
48
0.08 (0.052)
  
Executive function
    
 Placebo
55
0.08 (0.065)
−0.02 (−0.18, 0.14)
−0.05 (−0.37, 0.28)
 GSK239512
47
0.06 (0.070)
  
Memory
    
 Placebo
55
0.31 (0.070)
−0.15 (−0.32, 0.01)
−0.31 (−0.65, 0.03)
 GSK239512
48
0.16 (0.075)
  
Attention
    
 Placebo
54
−0.00 (0.088)
−0.06 (−0.27, 0.16)
−0.09 (−0.45, 0.26)
 GSK239512
47
−0.06 (0.094)
  
 
n
EDSS score at Week 48c
Improved, n (%)
Unchanged, n (%)
Worsened, n (%)
Placebo
57
5 (9)
48 (84)
4 (7)
GSK239512
48
3 (6)
44 (92)
1 (2)
CI confidence interval, EDSS Expanded Disability Status Scale, ITT intent-to-treat, MS multiple sclerosis, SE standard error
aDifference in adjusted least squares means are shown (GSK239512 minus placebo). A positive treatment difference indicates benefit, relative to placebo
bThe analysis method was mixed model repeated measures adjusted for treatment, visit, baseline total score, background MS disease-modifying treatment, treatment by visit, baseline total score by visit and background disease-modifying treatment by visit
cImproved defined as 1.0 decrease, worsened is defined as a 1.0 increase, in EDSS score; a positive treatment difference indicates benefit, relative to placebo
Overall, during the treatment phase the incidence of AEs was similar between GSK239512 (74%) and placebo (76%) and AEs were generally of mild and moderate intensity (28 and 42% for GSK239512 and 29 and 42% for placebo, respectively). However, during the titration period the incidence of AEs was higher with GSK239512 (52%) than with placebo (35%), particularly the incidence of insomnia (31 versus 9%, respectively), whereas in the maintenance period the overall incidence of AEs was similar (66 and 67%, respectively). The incidence of AEs judged by investigators as treatment-related was higher with GSK239512 versus placebo during the titration period (35 and 9%, respectively) than the maintenance period (11 and 3%, respectively). As expected, the most commonly reported AE during the treatment phase was insomnia, reported by 22 (34%) and seven (11%) patients in the GSK239512 and placebo groups, respectively; the 95% CI for the relative risk [3.19 (95% CI 1.57, 6.95)] excluded 1, suggesting a real difference. Other incidences of common AEs are shown in Table 5. Three SAEs were reported in two patients [oral papilloma and thrombophlebitis of the leg (n = 1) and thymoma (n = 1)] in the GSK239512 group and one SAE [nephrolithiasis (n = 1)] in the placebo group, during the maintenance period, with no SAEs reported during the titration period. In total, seven patients withdrew from the study due to AEs during the treatment phase, all in the GSK239512 group [insomnia (n = 2), thrombophlebitis (n = 1), cough (n = 1)], elevated alanine aminotransferase (ALT) and aspartate aminotransferase (AST; n = 1), thymoma (n = 1) and, axillary candidiasis, dry mouth, toxic skin eruption and xerosis (n = 1)]. No deaths were reported. Mean haematology, chemistry, urinalysis and vital sign values remained within normal ranges throughout the duration of the study, with the exception of one patient in the GSK239512 group, on a background of intramuscular interferon-β1a treatment, who had moderate level ALT and AST elevations. These AEs were judged by investigators as not treatment-related and this patient was withdrawn from the study.
Table 5
Summary of AEs (ITT population)
 
Number (%) of patients reporting event
Titration period
Maintenance period
Treatment phase
Placebo, N = 66
GSK239512, N = 65
Placebo, N = 66
GSK239512, N = 65
Placebo, N = 66
GSK239512, N = 65
Any common event
23 (35)
34 (52)
44 (67)
43 (66)
50 (76)
48 (74)
AEs rated by intensity
 Mild
17 (26)
20 (31)
17 (26)
19 (29)
19 (29)
18 (28)
 Moderate
6 (9)
14 (22)
24 (36)
21 (32)
28 (42)
27 (42)
 Severe
0
0
3 (5)
3 (5)
3 (5)
3 (5)
Treatment-related AEs
6 (9)
23 (35)
2 (3)
7 (11)
8 (12)
27 (42)
SAEs
0
0
1 (2)
2 (3)
1 (2)
2 (3)
AEs Leading to withdrawal
0
1 (2)a
0
6 (9)
0
7 (11)
Common AEs ≥ 5% patients
 Insomnia
6 (9)
20 (31)
1 (2)
4 (6)
7 (11)
22 (34)
 Middle insomnia
0
2 (3)
1 (2)
3 (5)
1 (2)
5 (8)
 Nightmare
0
4 (6)
0
2 (3)
0
5 (8)
 Headache
6 (9)
8 (12)
7 (11)
10 (15)
11 (17)
16 (25)
 Dizziness
2 (3)
2 (3)
1 (2)
4 (6)
3 (5)
6 (9)
 Fatigue
0
1 (2)
4 (6)
0
4 (6)
1 (2)
 Pyrexia
1 (2)
0
3 (5)
1 (2)
4 (6)
1 (2)
 Nausea
4 (6)
1 (2)
3 (5)
2 (3)
6 (9)
2 (3)
 Diarrhoea
0
3 (5)
3 (5)
0
3 (5)
3 (5)
 Nasopharyngitis
3 (5)
1 (2)
12 (18)
10 (15)
14 (21)
11 (17)
 Vertigo
0
3 (5)
1 (2)
1 (2)
1 (2)
3 (5)
 Palpitations
0
3 (5)
0
0
0
3 (5)
 Influenza
0
0
4 (6)
5 (8)
4 (6)
5 (8)
 UTI
1 (2)
2 (3)
1 (2)
4 (6)
2 (3)
5 (8)
 Bronchitis
0
0
3 (5)
0
3 (5)
0
 Cystitis
0
0
0
3 (5)
0
3 (5)
 Neck pain
1 (2)
1 (2)
4 (6)
2 (3)
4 (6)
3 (5)
 Arthralgia
0
0
4 (6)
0
4 (6)
0
ITT population is the same population as the safety population
AE adverse event, ITT intent-to-treat, SAE serious AE (defined as any AE or adverse reaction that results in death, is life-threatening, requires hospitalisation or prolongation of existing hospitalisation, results in persistent or significant disability or incapacity, or is a congenital anomaly or birth defect), UTI urinary tract infection
aAE leading to withdrawal started during the titration period but the patient did not withdraw until the maintenance phase
Minimum trough concentrations of GSK239512 were approximately 10–25 pg/mL for the 80 µg dose and were consistent over the study duration. No relationship between trough concentrations of GSK239512 and the primary endpoints were observed.

Discussion

In this phase II, randomised, parallel-group, placebo-controlled study, GSK239512 at a maximum dose of 80 µg per day up-titrated over a 4- to 5-week period and maintained for 43–44 weeks had a positive effect on change in MTR, a marker of lesion remyelination in patients with RRMS.
Patient demographics and characteristics were as expected for patients with RRMS who met the defined eligibility criteria. While patient relapse data at screening may be suggestive of a more active population in the GSK239512 treatment group, the current analysis was based on lesion activity during the time period of the study. The on-study disease activity was broadly comparable between treatment groups with a similar mean relapse rate, proportion of patients with relapse and primary endpoint lesion activity. Therefore, the difference in baseline relapse activity did not appear to have any implications for the outcomes of this trial.
The primary MTR analysis focused on the comparison between pre-lesion and recovery values at times when these variables were relatively stable. GdE and Delta-MTR lesions that formed following the baseline MRI were identified using independent procedures, based on images with different contrast mechanisms. While GdE lesions are short-lived and sensitive to blood–brain barrier breakdown [31, 32], Delta-MTR lesions are persistent and appear to better identify tissue that has demyelinated [24]. Although their occurrence does not always co-localize, MTR recovery in either lesion type was expected to show the same response to treatment. This is indeed what we observed, with a small positive effect of GSK239512 versus placebo on lesion MTR being observed with effect sizes of 0.344 in GdE and 0.243 in Delta-MTR lesions with GSK239512 over placebo indicating a relative increase in remyelination, with high posterior probabilities of the effect size being >0 (0.955 in GdE and 0.877 in Delta-MTR lesions, respectively). Therefore, the MTR methodology employed in this study for assessing remyelination represents a promising tool for detecting changes in lesion myelin content in RRMS. However, in our study, the effect size was smaller than the target of 0.5. Additionally, the effect size in this trial was greater for Gd lesions compared with newly detected MTR lesions (Delta-MTR lesions) and may be associated with the greater number of GdE lesions included in the analysis due to relatively high-frequency (approximately monthly) scanning [24]. The use of MTR as a marker of remyelination has been previously validated, demonstrating that MTR values decrease with demyelination and increase with remyelination [1017]. Studies on post-mortem brains from patients with MS have shown a strong association between MTR and histopathologically measured myelin content. The MTR of remyelinated lesions differs from both normal-appearing WM and demyelinated lesions [14, 16], and there is a significant correlation between myelin content and MTR in both lesions and the normal-appearing WM [14]. The methodology used to quantify changes in MTR over time associated with lesion remyelination has been previously reported [24].
Secondary MRI assessments did not demonstrate a positive impact of GSK239512 treatment that corresponded with the observed improvement in remyelination demonstrated by the MTR assessment. While unexpected from the pharmacologic action of the study drug, a small relative difference in favour of placebo was found. The magnitude of effect is unlikely to be clinically relevant, as analysis of pooled data from clinical trials has shown that an increase in relapse frequency is predicted only by larger differences in active lesion detection [33]. The absence of changes in secondary assessments, particularly MTR in chronic T2-weighted lesions may indicate the need for further development of additional remyelination marker endpoints, capable of demonstrating changes over time associated with improvement in remyelination [34, 35].
As a H3 receptor antagonist/inverse agonist, GSK239512 was not expected to improve or enhance the inflammatory disease process. Importantly, there was no indication that GSK239512 had an exacerbating effect, with similar relapse rates and EDSS scores observed in both treatment groups. No meaningful changes in brain volumes were observed; this was not unexpected given the relatively small changes in remyelination of lesions and extended time period required to observe changes in brain volume measurements in a sample of this size. Additionally, the patient population assessed had modest physical and cognitive impairment at baseline. While memory scores on the CogState battery improved slightly in both treatment groups this may be an artefact of learning or exercise effect.
Safety findings were consistent with previous studies of GSK239512 in AD and schizophrenia [68]. GSK239512 was well tolerated by the majority of patients, with 85% of patients reaching the 80 µg dose. Patients treated with GSK239512 reported more CNS-related AEs such as insomnia and nightmare than with placebo and sleep-related AEs were found to be the most common side effect of GSK239512; this is unsurprising for a RRMS population and the treatment mechanism of action, and is consistent with previous trials of GSK239512 in patients with AD [6, 7]. In total, seven patients withdrew due to AEs, all in the GSK239512 group and AE tolerability may have been a contributing factor to the differential withdrawal rate between the placebo and GSK239512 groups. Several of these were judged to be potentially treatment-related including liver function test elevation and toxic skin eruption and may be due to an interaction between GSK239512 and concomitant interferon-1βa therapy and should therefore be considered in future study designs. Trough plasma concentrations of GSK239512 at the 80 µg dose are consistent with >90% H3 receptor occupancy in the brain, as predicted from a previous positron emission topography study conducted in healthy human subjects [9].
One limitation of this trial was that not all patients contributed at least one lesion to the analysis as expected, making the results harder to generalise. Further studies could assess the effect of potential remyelinating agents in a wider patient population, including patients without lesions to further extend generalisability. Additionally, there was no clinical correlate of improved remyelination. Clinical outcome measures used generally require much larger sample sizes or longer study durations (2–3 years) to demonstrate clinically relevant changes. Future studies should consider evaluating the use of shorter-term clinical endpoints, include more patients and define a patient population with the capability of demonstrating a change. Additionally, targeted clinical deficits associated with specific demyelinating lesions might be more sensitive and could be reflected in additional surrogate endpoints [34, 35].
In summary, GSK239512 treatment resulted in a positive effect on lesion remyelination, detected by GdE and Delta-MTR lesion assessments, validating this approach for multicentre clinical trials. GSK239512 was found to have an acceptable safety profile in patients with RRMS. However, the positive effect on lesion remyelination did not translate into observed benefits on conventional MRI or clinical assessments. The development of clinical endpoints more directly linked to changes in myelination, inclusion of a population with more disease activity and/or a longer duration to match the clinical assessments used in the current trial are required to further explore the potential impact of an H3 receptor antagonist/inverse agonist on remyelination and ultimately disease progression in RRMS.

Acknowledgements

The authors wish to thank the patients and study investigators and the following employees of GSK: Maggie Peykamian for her contribution to concept, design and involvement in analysis and interpretation, Jyoti Patel and Kathy Harding for their contributions to data acquisition; Paul Thompson and Ole Graff for their contributions to study design, and Marina Zvartau-Hind for her contributions to interpretation. We also thank the investigators and the internal Safety Review Committee involved in this trial, listed in full in the Supplementary Online Resource 1. Editorial support in the form of initial preparation of the outline based on input from all authors, and collation and incorporation of author feedback to develop subsequent drafts was provided by Alex Lowe, PhD, of Fishawack Indicia Ltd, and was funded by GSK. Funding was provided by GSK.

Compliance with ethical standards

Conflicts of interest

CJS is a former employee of GSK and holds stocks/shares in GSK. RAG and DT are employees of GSK and hold stocks/shares in GSK; RB has received personal compensation from NeuroRx Research for consulting services. FTB has received an honorarium from GSK for speaking at an investigators´ meeting for the trial reported here; his institution received compensation from GSK for the treatment and documentation of those patients included at his site; he has received personal compensation for speaking or serving on advisory boards from Bayer-Schering, Biogen, Genzyme, Novartis and Teva; through his institution, he received grants from Actelion, Bayer, Novartis and Teva. DLA has an equity interest in NeuroRx Research, has received personal fees from Biogen, EMD Serono, Genentech, Genzyme, Hoffman LaRoche, Innate Immunotherapy, MedImmune, Mitsubishi, Novartis, Receptos, Acorda, Sanofi-Aventis, and Teva, and Grants from Biogen and Novartis.

Ethical standards

The study was conducted in accordance with the International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use, Good Clinical Practice (ICH-GCP) and the ethical principles outlined in the Declaration of Helsinki 2008 [17]. Ethics approval was obtained from respective countries’ Ethics Committees (Online resource 1). The study protocol is available online at http://​www.​gsk-clinicalstudyreg​ister.​com/​files2/​gsk-116477-protocol-redact.​pdf.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Unsere Produktempfehlungen

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

Neuer Inhalt

e.Med Neurologie & Psychiatrie

Kombi-Abonnement

Mit e.Med Neurologie & Psychiatrie erhalten Sie Zugang zu CME-Fortbildungen der Fachgebiete, den Premium-Inhalten der dazugehörigen Fachzeitschriften, inklusive einer gedruckten Zeitschrift Ihrer Wahl.

Weitere Produktempfehlungen anzeigen
Anhänge

Electronic supplementary material

Below is the link to the electronic supplementary material.
Literatur
1.
Zurück zum Zitat Dutta R, Trapp BD (2011) Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis. Prog Neurobiol 93:1–12CrossRefPubMed Dutta R, Trapp BD (2011) Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis. Prog Neurobiol 93:1–12CrossRefPubMed
2.
Zurück zum Zitat Hagemeier K, Bruck W, Kuhlmann T (2012) Multiple sclerosis—remyelination failure as a cause of disease progression. Histol Histopathol 27:277–287PubMed Hagemeier K, Bruck W, Kuhlmann T (2012) Multiple sclerosis—remyelination failure as a cause of disease progression. Histol Histopathol 27:277–287PubMed
3.
Zurück zum Zitat Kuhlmann T, Miron V, Cui Q, Wegner C, Antel J, Bruck W (2008) Differentiation block of oligodendroglial progenitor cells as a cause for remyelination failure in chronic multiple sclerosis. Brain 131:1749–1758CrossRefPubMed Kuhlmann T, Miron V, Cui Q, Wegner C, Antel J, Bruck W (2008) Differentiation block of oligodendroglial progenitor cells as a cause for remyelination failure in chronic multiple sclerosis. Brain 131:1749–1758CrossRefPubMed
4.
Zurück zum Zitat Wang R, Chen Y, Guo T, Zhen W, Guo T, Zhao R, Liu AA, Rubio JP, Krull D, Lu J, Song M, Thompson P (2014) Histamine H3 receptor negatively regulates oligodendrocyte differentiation and myelination. Mult Scler 20(S1):341 Wang R, Chen Y, Guo T, Zhen W, Guo T, Zhao R, Liu AA, Rubio JP, Krull D, Lu J, Song M, Thompson P (2014) Histamine H3 receptor negatively regulates oligodendrocyte differentiation and myelination. Mult Scler 20(S1):341
5.
Zurück zum Zitat Mei F, Fancy SP, Shen YA, Niu J, Zhao C, Presley B, Miao E, Lee S, Mayoral SR, Redmond SA, Etxeberria A, Xiao L, Franklin RJ, Green A, Hauser SL, Chan JR (2014) Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis. Nat Med 20:954–960CrossRefPubMedPubMedCentral Mei F, Fancy SP, Shen YA, Niu J, Zhao C, Presley B, Miao E, Lee S, Mayoral SR, Redmond SA, Etxeberria A, Xiao L, Franklin RJ, Green A, Hauser SL, Chan JR (2014) Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis. Nat Med 20:954–960CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Grove RA, Harrington CM, Mahler A, Beresford I, Maruff P, Lowy MT, Nicholls AP, Boardley RL, Berges AC, Nathan PJ, Horrigan JP (2014) A randomized, double-blind, placebo-controlled, 16-week study of the H3 receptor antagonist, GSK239512 as a monotherapy in subjects with mild-to-moderate Alzheimer’s disease. Curr Alzheimer Res 11:47–58CrossRefPubMed Grove RA, Harrington CM, Mahler A, Beresford I, Maruff P, Lowy MT, Nicholls AP, Boardley RL, Berges AC, Nathan PJ, Horrigan JP (2014) A randomized, double-blind, placebo-controlled, 16-week study of the H3 receptor antagonist, GSK239512 as a monotherapy in subjects with mild-to-moderate Alzheimer’s disease. Curr Alzheimer Res 11:47–58CrossRefPubMed
7.
Zurück zum Zitat Nathan PJ, Boardley R, Scott N, Berges A, Maruff P, Sivananthan T, Upton N, Lowy MT, Nestor PJ, Lai R (2013) The safety, tolerability, pharmacokinetics and cognitive effects of GSK239512, a selective histamine H3 receptor antagonist in patients with mild to moderate Alzheimer’s disease: a preliminary investigation. Curr Alzheimer Res 10:240–251CrossRefPubMed Nathan PJ, Boardley R, Scott N, Berges A, Maruff P, Sivananthan T, Upton N, Lowy MT, Nestor PJ, Lai R (2013) The safety, tolerability, pharmacokinetics and cognitive effects of GSK239512, a selective histamine H3 receptor antagonist in patients with mild to moderate Alzheimer’s disease: a preliminary investigation. Curr Alzheimer Res 10:240–251CrossRefPubMed
8.
Zurück zum Zitat Jarskog LF, Lowy MT, Grove RA, Keefe RS, Horrigan JP, Ball MP, Breier A, Buchanan RW, Carter CS, Csernansky JG, Goff DC, Green MF, Kantrowitz JT, Keshavan MS, Laurelle M, Lieberman JA, Marder SR, Maruff P, McMahon RP, Seidman LJ, Peykamian MA (2015) A Phase II study of a histamine H3 receptor antagonist GSK239512 for cognitive impairment in stable schizophrenia subjects on antipsychotic therapy. Schizophr Res 164:136–142CrossRefPubMed Jarskog LF, Lowy MT, Grove RA, Keefe RS, Horrigan JP, Ball MP, Breier A, Buchanan RW, Carter CS, Csernansky JG, Goff DC, Green MF, Kantrowitz JT, Keshavan MS, Laurelle M, Lieberman JA, Marder SR, Maruff P, McMahon RP, Seidman LJ, Peykamian MA (2015) A Phase II study of a histamine H3 receptor antagonist GSK239512 for cognitive impairment in stable schizophrenia subjects on antipsychotic therapy. Schizophr Res 164:136–142CrossRefPubMed
9.
Zurück zum Zitat Ashworth S, Berges A, Rabiner EA, Wilson AA, Comley RA, Lai RY, Boardley R, Searle G, Gunn RN, Laruelle M, Cunningham VJ (2014) Unexpectedly high affinity of a novel histamine H3 receptor antagonist, GSK239512, in vivo in human brain, determined using PET. Br J Pharmacol 171:1241–1249CrossRefPubMedPubMedCentral Ashworth S, Berges A, Rabiner EA, Wilson AA, Comley RA, Lai RY, Boardley R, Searle G, Gunn RN, Laruelle M, Cunningham VJ (2014) Unexpectedly high affinity of a novel histamine H3 receptor antagonist, GSK239512, in vivo in human brain, determined using PET. Br J Pharmacol 171:1241–1249CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Dousset V, Grossman RI, Ramer KN, Schnall MD, Young LH, Gonzalez-Scarano F, Lavi E, Cohen JA (1992) Experimental allergic encephalomyelitis and multiple sclerosis: lesion characterization with magnetization transfer imaging. Radiology 182:483–491CrossRefPubMed Dousset V, Grossman RI, Ramer KN, Schnall MD, Young LH, Gonzalez-Scarano F, Lavi E, Cohen JA (1992) Experimental allergic encephalomyelitis and multiple sclerosis: lesion characterization with magnetization transfer imaging. Radiology 182:483–491CrossRefPubMed
11.
Zurück zum Zitat Turati L, Moscatelli M, Mastropietro A, Dowell NG, Zucca I, Erbetta A, Cordiglieri C, Brenna G, Bianchi B, Mantegazza R, Cercignani M, Baggi F, Minati L (2015) In vivo quantitative magnetization transfer imaging correlates with histology during de- and remyelination in cuprizone-treated mice. NMR Biomed 28:327–337CrossRefPubMed Turati L, Moscatelli M, Mastropietro A, Dowell NG, Zucca I, Erbetta A, Cordiglieri C, Brenna G, Bianchi B, Mantegazza R, Cercignani M, Baggi F, Minati L (2015) In vivo quantitative magnetization transfer imaging correlates with histology during de- and remyelination in cuprizone-treated mice. NMR Biomed 28:327–337CrossRefPubMed
12.
Zurück zum Zitat Merkler D, Boretius S, Stadelmann C, Ernsting T, Michaelis T, Frahm J, Brück W (2005) Multicontrast MRI of remyelination in the central nervous system. NMR Biomed 18:395–403CrossRefPubMed Merkler D, Boretius S, Stadelmann C, Ernsting T, Michaelis T, Frahm J, Brück W (2005) Multicontrast MRI of remyelination in the central nervous system. NMR Biomed 18:395–403CrossRefPubMed
13.
Zurück zum Zitat Deloire-Grassin MS, Brochet B, Quesson B, Delalande C, Dousset V, Canioni P, Petry KG (2000) In vivo evaluation of remyelination in rat brain by magnetization transfer imaging. J Neurol Sci 178:10–16CrossRefPubMed Deloire-Grassin MS, Brochet B, Quesson B, Delalande C, Dousset V, Canioni P, Petry KG (2000) In vivo evaluation of remyelination in rat brain by magnetization transfer imaging. J Neurol Sci 178:10–16CrossRefPubMed
14.
Zurück zum Zitat Schmierer K, Scaravilli F, Altmann DR, Barker GJ, Miller DH (2004) Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain. Ann Neurol 56:407–415CrossRefPubMed Schmierer K, Scaravilli F, Altmann DR, Barker GJ, Miller DH (2004) Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain. Ann Neurol 56:407–415CrossRefPubMed
15.
Zurück zum Zitat Schmierer K, Wheeler-Kingshott CA, Tozer DJ, Boulby PA, Parkes HG, Yousry TA, Scaravilli F, Barker GJ, Tofts PS, Miller DH (2008) Quantitative magnetic resonance of postmortem multiple sclerosis brain before and after fixation. Magn Reson Med 59:268–277CrossRefPubMedPubMedCentral Schmierer K, Wheeler-Kingshott CA, Tozer DJ, Boulby PA, Parkes HG, Yousry TA, Scaravilli F, Barker GJ, Tofts PS, Miller DH (2008) Quantitative magnetic resonance of postmortem multiple sclerosis brain before and after fixation. Magn Reson Med 59:268–277CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Barkhof F, Bruck W, De Groot CJ, Bergers E, Hulshof S, Geurts J, Polman CH, van der Valk P (2003) Remyelinated lesions in multiple sclerosis: magnetic resonance image appearance. Arch Neurol 60:1073–1081CrossRefPubMed Barkhof F, Bruck W, De Groot CJ, Bergers E, Hulshof S, Geurts J, Polman CH, van der Valk P (2003) Remyelinated lesions in multiple sclerosis: magnetic resonance image appearance. Arch Neurol 60:1073–1081CrossRefPubMed
17.
Zurück zum Zitat Chen JT, Collins DL, Freedman MS, Atkins HL, Arnold DL (2005) Local magnetization transfer ratio signal inhomogeneity is related to subsequent change in MTR in lesions and normal-appearing white-matter of multiple sclerosis patients. Neuroimage 25:1272–1278CrossRefPubMed Chen JT, Collins DL, Freedman MS, Atkins HL, Arnold DL (2005) Local magnetization transfer ratio signal inhomogeneity is related to subsequent change in MTR in lesions and normal-appearing white-matter of multiple sclerosis patients. Neuroimage 25:1272–1278CrossRefPubMed
18.
Zurück zum Zitat World Medical Association (2013) World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 310:2191–2194CrossRef World Medical Association (2013) World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 310:2191–2194CrossRef
19.
Zurück zum Zitat Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, Fujihara K, Havrdova E, Hutchinson M, Kappos L, Lublin FD, Montalban X, O’Connor P, Sandberg-Wollheim M, Thompson AJ, Waubant E, Weinshenker B, Wolinsky JS (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302CrossRefPubMedPubMedCentral Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, Fujihara K, Havrdova E, Hutchinson M, Kappos L, Lublin FD, Montalban X, O’Connor P, Sandberg-Wollheim M, Thompson AJ, Waubant E, Weinshenker B, Wolinsky JS (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Lublin FD, Reingold SC (1996) Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology 46:907–911CrossRefPubMed Lublin FD, Reingold SC (1996) Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology 46:907–911CrossRefPubMed
21.
Zurück zum Zitat Lublin FD, Reingold SC, Cohen JA, Cutter GR, Sorensen PS, Thompson AJ, Wolinsky JS, Balcer LJ, Banwell B, Barkhof F, Bebo B Jr, Calabresi PA, Clanet M, Comi G, Fox RJ, Freedman MS, Goodman AD, Inglese M, Kappos L, Kieseier BC, Lincoln JA, Lubetzki C, Miller AE, Montalban X, O’Connor PW, Petkau J, Pozzilli C, Rudick RA, Sormani MP, Stüve O, Waubant E, Polman CH (2014) Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology 83:278–286CrossRefPubMedPubMedCentral Lublin FD, Reingold SC, Cohen JA, Cutter GR, Sorensen PS, Thompson AJ, Wolinsky JS, Balcer LJ, Banwell B, Barkhof F, Bebo B Jr, Calabresi PA, Clanet M, Comi G, Fox RJ, Freedman MS, Goodman AD, Inglese M, Kappos L, Kieseier BC, Lincoln JA, Lubetzki C, Miller AE, Montalban X, O’Connor PW, Petkau J, Pozzilli C, Rudick RA, Sormani MP, Stüve O, Waubant E, Polman CH (2014) Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology 83:278–286CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33:1444–1452CrossRefPubMed Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33:1444–1452CrossRefPubMed
23.
Zurück zum Zitat van den Elskamp IJ, Knol DL, Vrenken H, Karas G, Meijerman A, Filippi M, Kappos L, Fazekas F, Wagner K, Pohl C, Sandbrink R, Polman CH, Uitdehaag BM, Barkhof F (2010) Lesional magnetization transfer ratio: a feasible outcome for remyelinating treatment trials in multiple sclerosis. Mult Scler 16:660–669CrossRefPubMed van den Elskamp IJ, Knol DL, Vrenken H, Karas G, Meijerman A, Filippi M, Kappos L, Fazekas F, Wagner K, Pohl C, Sandbrink R, Polman CH, Uitdehaag BM, Barkhof F (2010) Lesional magnetization transfer ratio: a feasible outcome for remyelinating treatment trials in multiple sclerosis. Mult Scler 16:660–669CrossRefPubMed
24.
Zurück zum Zitat Brown RA, Narayanan S, Arnold DL (2013) Segmentation of magnetization transfer ratio lesions for longitudinal analysis of demyelination and remyelination in multiple sclerosis. Neuroimage 66:103–109CrossRefPubMed Brown RA, Narayanan S, Arnold DL (2013) Segmentation of magnetization transfer ratio lesions for longitudinal analysis of demyelination and remyelination in multiple sclerosis. Neuroimage 66:103–109CrossRefPubMed
25.
Zurück zum Zitat Brown RA, Narayanan S, Stikov N, Cook S, Cadavid D, Wolansky L, Arnold DL (2016) MTR recovery in brain lesions in the BECOME study of glatiramer acetate vs interferon β-1b. Neurology 97:905–911CrossRef Brown RA, Narayanan S, Stikov N, Cook S, Cadavid D, Wolansky L, Arnold DL (2016) MTR recovery in brain lesions in the BECOME study of glatiramer acetate vs interferon β-1b. Neurology 97:905–911CrossRef
26.
Zurück zum Zitat Vickrey BG, Hays RD, Harooni R, Myers LW, Ellison GW (1995) A health-related quality of life measure for multiple sclerosis. Qual Life Res 4:187–206CrossRefPubMed Vickrey BG, Hays RD, Harooni R, Myers LW, Ellison GW (1995) A health-related quality of life measure for multiple sclerosis. Qual Life Res 4:187–206CrossRefPubMed
27.
Zurück zum Zitat Brown RA, Narayanan S, Arnold DL (2014) Imaging of repeated episodes of demyelination and remyelination in multiple sclerosis. Neuroimage Clin 6:20–25CrossRefPubMedPubMedCentral Brown RA, Narayanan S, Arnold DL (2014) Imaging of repeated episodes of demyelination and remyelination in multiple sclerosis. Neuroimage Clin 6:20–25CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Goodman SN (1999) Toward evidence-based medical statistics. 2: the Bayes factor. Ann Intern Med 130:1005–1013CrossRefPubMed Goodman SN (1999) Toward evidence-based medical statistics. 2: the Bayes factor. Ann Intern Med 130:1005–1013CrossRefPubMed
30.
Zurück zum Zitat Brown RA, Narayanan S, Atkins HL, Marder SR, Arnold DL (2011) Normalization of magnetization transfer ratio MRI for multicentre clinical trials. Proc Int Soc Magn Reson Med 19:4082 Brown RA, Narayanan S, Atkins HL, Marder SR, Arnold DL (2011) Normalization of magnetization transfer ratio MRI for multicentre clinical trials. Proc Int Soc Magn Reson Med 19:4082
31.
Zurück zum Zitat Guttmann CR, Ahn SS, Hsu L, Kikinis R, Jolesz FA (1995) The evolution of multiple sclerosis lesions on serial MR. AJNR Am J Neuroadiol 16:1481–1491 Guttmann CR, Ahn SS, Hsu L, Kikinis R, Jolesz FA (1995) The evolution of multiple sclerosis lesions on serial MR. AJNR Am J Neuroadiol 16:1481–1491
32.
Zurück zum Zitat Gaitan MI, Shea CD, Evangelou IE, Stone RD, Fenton KM, Bielekova B, Massacesi L, Reich DS (2011) Evolution of the blood-brain barrier in newly forming multiple sclerosis lesions. Ann Neurol 70:22–29CrossRefPubMedPubMedCentral Gaitan MI, Shea CD, Evangelou IE, Stone RD, Fenton KM, Bielekova B, Massacesi L, Reich DS (2011) Evolution of the blood-brain barrier in newly forming multiple sclerosis lesions. Ann Neurol 70:22–29CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Kappos L, Moeri D, Radue EW, Schoetzau A, Schweikert K, Barkhof F, Miller D, Guttmann CR, Weiner HL, Gasperini C, Filippi M (1999) Predictive value of gadolinium-enhanced magnetic resonance imaging for relapse rate and changes in disability or impairment in multiple sclerosis: a meta-analysis. Gadolinium MRI Meta-analysis Group. Lancet 353:964–969CrossRefPubMed Kappos L, Moeri D, Radue EW, Schoetzau A, Schweikert K, Barkhof F, Miller D, Guttmann CR, Weiner HL, Gasperini C, Filippi M (1999) Predictive value of gadolinium-enhanced magnetic resonance imaging for relapse rate and changes in disability or impairment in multiple sclerosis: a meta-analysis. Gadolinium MRI Meta-analysis Group. Lancet 353:964–969CrossRefPubMed
34.
Zurück zum Zitat Niklas A, Sebraoui H, Hess E, Wagner A, Then Bergh F (2009) Outcome measures for trials of remyelinating agents in multiple sclerosis: retrospective longitudinal analysis of visual evoked potential latency. Mult Scler 15:68–74CrossRefPubMed Niklas A, Sebraoui H, Hess E, Wagner A, Then Bergh F (2009) Outcome measures for trials of remyelinating agents in multiple sclerosis: retrospective longitudinal analysis of visual evoked potential latency. Mult Scler 15:68–74CrossRefPubMed
35.
Zurück zum Zitat Thomae E, Niklas A, Sebraoui H, Baum P, Wagner A, Then Bergh F (2010) Improving test–retest variability of visual-evoked responses in multiple sclerosis: implications for trial design. J Clin Neurophysiol 27:270–273CrossRefPubMed Thomae E, Niklas A, Sebraoui H, Baum P, Wagner A, Then Bergh F (2010) Improving test–retest variability of visual-evoked responses in multiple sclerosis: implications for trial design. J Clin Neurophysiol 27:270–273CrossRefPubMed
Metadaten
Titel
Lesion remyelinating activity of GSK239512 versus placebo in patients with relapsing-remitting multiple sclerosis: a randomised, single-blind, phase II study
verfasst von
Caryl J. Schwartzbach
Richard A. Grove
Robert Brown
Debra Tompson
Florian Then Bergh
Douglas L. Arnold
Publikationsdatum
25.11.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Neurology / Ausgabe 2/2017
Print ISSN: 0340-5354
Elektronische ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-016-8341-7

Weitere Artikel der Ausgabe 2/2017

Journal of Neurology 2/2017 Zur Ausgabe

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Frühe Alzheimertherapie lohnt sich

25.04.2024 AAN-Jahrestagung 2024 Nachrichten

Ist die Tau-Last noch gering, scheint der Vorteil von Lecanemab besonders groß zu sein. Und beginnen Erkrankte verzögert mit der Behandlung, erreichen sie nicht mehr die kognitive Leistung wie bei einem früheren Start. Darauf deuten neue Analysen der Phase-3-Studie Clarity AD.

Viel Bewegung in der Parkinsonforschung

25.04.2024 Parkinson-Krankheit Nachrichten

Neue arznei- und zellbasierte Ansätze, Frühdiagnose mit Bewegungssensoren, Rückenmarkstimulation gegen Gehblockaden – in der Parkinsonforschung tut sich einiges. Auf dem Deutschen Parkinsonkongress ging es auch viel um technische Innovationen.

Demenzkranke durch Antipsychotika vielfach gefährdet

23.04.2024 Demenz Nachrichten

Wenn Demenzkranke aufgrund von Symptomen wie Agitation oder Aggressivität mit Antipsychotika behandelt werden, sind damit offenbar noch mehr Risiken verbunden als bislang angenommen.

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.