Abstract
Background
We have recently completed an evaluation of the safety and feasibility of intravenous delivery of autologous bone marrow in patients with progressive multiple sclerosis (MS). The possibility of repair was suggested by improvement in the neurophysiological secondary outcome measure seen in all participants. The current study will examine the efficacy of intravenous delivery of autologous marrow in progressive MS. Laboratory studies performed in parallel with the clinical trial will further investigate the biology of bone marrow-derived stem cell infusion in MS, including mechanisms underlying repair.
Methods/design
A prospective, randomised, double-blind, placebo-controlled, stepped wedge design will be employed at a single centre (Bristol, UK). Eighty patients with progressive MS will be recruited; 60 will have secondary progressive disease (SPMS) but a subset (n = 20) will have primary progressive disease (PPMS). Participants will be randomised to either early or late (1 year) intravenous infusion of autologous, unfractionated bone marrow. The placebo intervention is infusion of autologous blood. The primary outcome measure is global evoked potential derived from multimodal evoked potentials. Secondary outcome measures include adverse event reporting, clinical (EDSS and MSFC) and self-assessment (MSIS-29) rating scales, optical coherence tomography (OCT) as well as brain and spine MRI. Participants will be followed up for a further year following the final intervention. Outcomes will be analysed on an intention-to-treat basis.
Discussion
Assessment of bone marrow-derived Cellular Therapy in progressive Multiple Sclerosis (ACTiMuS) is the first randomised, placebo-controlled trial of non-myeloablative autologous bone marrow-derived stem cell therapy in MS. It will determine whether bone marrow cell therapy can, as was suggested by the phase I safety study, improve conduction in multiple central nervous system pathways affected in progressive MS. Furthermore, laboratory studies performed in parallel with the clinical trial will inform our understanding of the cellular pharmacodynamics of bone marrow infusion in MS patients and the mechanisms underlying cell therapy.
Trial Registration
ISRCTN27232902 Registration date 11/09/2012. NCT01815632 Registration date 19/03/2013
Keywords: Cellular therapy, Bone marrow, Progressive multiple sclerosis, Reparative therapy, Stem cell, Global evoked potentials
Background
Multiple sclerosis (MS) affects approximately 2.5 million people worldwide. Although most patients present with relapsing-remitting disease, over 80 % of patients develop progressive disability. Although treatments to reduce relapse frequency are available, very limited progress has been made in the prevention or reversal of progressive disability. The development of cell therapy to treat progressive MS is an attractive option due to the multiplicity of actions that may be employed including immunomodulatory, neuroprotective and reparative processes.
We have recently completed a phase I safety and feasibility study of intravenous autologous bone marrow (BM) infusion in patients with progressive MS [1]. This study not only confirmed safety but also raised the possibility of partial repair; conduction times in multiple central nervous system (CNS) pathways collated as a composite score known as the global evoked potential (GEP) [2, 3] improved in all patients studied (n = 6) [1]. We believe that this requires urgent investigation to determine if autologous bone marrow infusion does indeed exert a genuine reparative effect in progressive MS.
Methods
Objective and hypothesis
We hypothesise that intravenously delivered autologous bone marrow cell therapy (BMCT) in chronic MS offers significant benefit. We further postulate that the mechanisms are multiple, and include immunomodulation and reparative and/or neuroprotective effects within the CNS; and are offered by one or more BM stem cell sub-populations, jointly contributing to the therapeutic impact. Exploring and understanding these mechanisms, and the biology of the cells responsible, will allow the development of more effective reparative cell therapy in MS.
On this underlying hypothesis, we propose a phase II controlled trial in parallel with a significant body of translational and back-translational laboratory research, with the following objectives:
To determine the efficacy of intravenous infusion of autologous bone marrow cells in patients with progressive MS
To collect additional safety data regarding the collection and intravenous infusion of bone marrow cells in those with MS
The laboratory arm of the study will explore the mechanisms underlying the efficacy of infusion of bone marrow cells in MS to determine how these can be augmented and, potentially, how the need for bone marrow harvest can be obviated.
Trial design
Assessment of bone marrow-derived Cellular Therapy in progressive Multiple Sclerosis (ACTiMuS) is a double blind, randomised, placebo-controlled single centre, stepped wedge design trial [4] in adults with progressive MS and Expanded Disability Status Scale (EDSS) score 4.0–6.0 (walking affected by disease, but still able to walk, with aids if necessary; distance as determined by the Ambulation Score). The study schema is presented in Fig. 1.
Sample size estimation
We will randomly allocate 40 patients, 30 with secondary progressive disease (SPMS) and 10 with primary progressive disease (PPMS), to each arm of the study, allowing a difference of between 0.63 and 0.73 of a standardised difference in GEP between the arms to be detected with 80 % power at the 5 % significance level, assuming a loss to follow-up rate of between 0 and 25 % respectively. Our experience suggests that, given the close involvement of patients and staff, we will achieve around 95 % follow-up.
Eligibility and enrolment
Participants will be patients attending the Bristol and Avon Multiple Sclerosis (BrAMS) Unit, North Bristol NHS Trust, UK. To enter the study, participants will have progressive MS and will have given informed consent. In addition, they must fulfil the inclusion and exclusion criteria as detailed in Table 1.
Table 1.
Inclusion criteria | Exclusion criteria |
---|---|
Either sex, 18–65 years old | Pregnancy, breastfeeding or lactation |
Diagnosis of clinically definite MS as defined by the McDonald criteria | History of autologous/allogeneic bone marrow transplantation or peripheral blood stem cell transplant |
Bone marrow insufficiency | |
MS disease severity EDSS 4–6 | History of lymphoproliferative disease or previous total lymphoid irradiation |
Immune deficiency | |
Disease duration >5 years | History of current or recent (<5 years) malignancy |
Disease progression (not attributable to relapse) in the year prior to entry | Chronic or frequent drug-resistant bacterial infections or presence of active infection requiring antimicrobial treatment |
Signed, written informed consent | Frequent and/or serious viral infection |
Willing and able to comply with study visits according to protocol for the full study period | Systemic or invasive fungal disease within 2 years of entry to study |
Significant renal, hepatic, cardiac or respiratory dysfunction | |
Contraindication to anaesthesia | |
Bleeding or clotting diathesis | |
Current or recent (within preceding 12 months) immunomodulatory therapy other than corticosteroid therapy | |
Treatment with corticosteroids within the preceding 3 months | |
Significant relapse within preceding 6 months | |
Predominantly relapsing-remitting disease over preceding 12 months | |
Radiation exposure in the past year other than chest/dental x-rays | |
Previous claustrophobia | |
The presence of any implanted metal or other contraindication to MRI | |
Participation in another experimental study or treatment within previous 24 months |
Randomisation and blinding
Randomisation will be centrally allocated using the infrastructural facilities of the Bristol Randomised Trials Collaboration (Departments of Social and Community Medicine), which provides web-based automatic randomisation services. Randomisation will be stratified by disease type (PPMS versus SPMS) using a permuted block design to ensure balance of allocation to the immediate or delayed treatment groups. Allocations are only released once the new study participant is logged into the system, thus ensuring allocation concealment. The results of randomisation will be held by NHS Blood and Transplant (NHSBT) and will be released only when the trial is to be unblinded and at the request of the Trial Management Committee.
During infusion, the trial product (blood or marrow) will be shielded from the participants using covered giving sets and obscuring the cannula site from the participant. Trial assessors do not have access to information regarding the order in which blood and marrow are infused. The level of unmasking of participants, treating physicians and assessors will be assessed by direct questioning at the end of the study.
Trial interventions
Venesection
Venesection of approximately 500 mL will be performed at entry and at 1 year. Blood donation will be performed in accordance with NHS Blood and Transplant standard operating procedures which comply with UK guidelines [5]. Briefly, a cannula is inserted in the antecubital fossa and venesection is performed with a sphygmomanometer cuff inflated to 60 mmHg.
Bone marrow harvest and infusion
Bone marrow harvest will be performed under general anaesthesia. Approximately 500–600 mL marrow will be collected together with bone marrow trephine. The marrow aspirate will be filtered, bagged and labelled by NHSBT. An infusion of either blood or marrow will be performed on the day of bone marrow harvest. Analgaesia will be offered and a check FBC will be performed. Iron replacement therapy will be given if Hb <9.5 g/dL pre-harvest or Hb <7.5 g/dL post-harvest (ferrous sulphate 200 mg od for 1 month). One year later, intravenous infusion of blood or thawed marrow will be performed (whichever was not infused at the time of harvest).
Bone marrow trephines and a small sample of the bone marrow aspirate will be retained for back-translational laboratory research studies running in parallel with the clinical trial if specific written informed consent is given. Blood samples for research purposes may be requested throughout the duration of the study.
Outcome measures
Primary outcome measure
Multimodal evoked potentials will be examined at 0, 6, 12, 18 and 24 months. Evoked potential abnormalities will be quantified according to a 4-point graded ordinal score modified from Leocani et al. (0 = normal; 1 = increased latency; 2 = increased latency and abnormal amplitude; 3 = absent) [3]. The primary outcome measure is change in GEP in the 12-month period after infusion of autologous marrow.
The recording of the evoked potentials shall be in accordance with the Guidelines of the International Federation of Clinical Neurophysiology [6], and analysis will be performed using standard methods [7] (Table 2). Electrophysiological responses shall be considered abnormal if they exceed 2.5 standard deviations of the normal values or cannot be detected.
Table 2.
Visual evoked potentials (VEPs) will be evoked with a rear-projected checkerboard pattern using an opto-mechanical device subtending 30 degrees at the retina, check-size 1 degree, white brightness of 150cdm−2 and contrast 87.5 %. |
Monaural stimulation will be delivered via earphones to each side with rarefaction click stimuli of 0.1 ms duration at an intensity of 75 dB above the subjective hearing threshold whilst the contralateral ear is masked with white noise. |
Sensory evoked potentials (SEPs) will be obtained by delivering electrical stimulation with square wave pulses of 0.2 ms duration to the median and the posterior tibial nerves, at the wrist and ankle respectively. |
Motor evoked potentials (MEPs) will be recorded from electrodes situated over the abductor pollicis brevis muscle in the hand and the abductor hallucis in the foot using a 9 cm circular coil held over the vertex. The central motor conduction time (CMCT) will be calculated by subtracting ½(M + F + 1) from the MEP latency where M is the distal motor latency and F is the minimum F wave latency. |
The GEP score will then be calculated as the sum of left and right brainstem auditory evoked potential (BSAEP) and VEP scores (0–12) and left and right upper and lower SEPs (0–12) and CMCTs (0–12). |
Secondary outcome measures
Adverse events (AEs), serious adverse events (SAEs), safety tests, clinical measures of disability, optical coherence topography (OCT) and magnetic resonance imaging (MRI) findings are included as secondary outcome measures.
Adverse events
Any unfavourable and unintended sign, symptom or illness that develops or worsens during the period of the study is classified as an AE, whether or not it is considered to be related to study interventions. Adverse events include unwanted side effects, toxicity or sensitivity reactions, abnormal laboratory results and injury or intercurrent illnesses, and may be expected or unexpected.
Furthermore, if an adverse event:
results in death
is life threatening
requires hospitalisation or prolongation of existing hospitalisation
results in persistent or significant disability or incapacity
consists of a congenital anomaly or birth defect
or is considered by the investigator to be an important medical event,
then it is classified as an SAE and must be reported to the trial coordinating centre as soon as possible.
It is expected that some participants will be hospitalised during the study for MS-related problems. These events should be classified as SAEs and reported accordingly. However, a hospital admission for a procedure planned before entry into the study will not be recorded as an SAE.
Expected adverse events include:
Local bruising and discomfort following bone marrow harvest
Increase in lower limb spasticity following bone marrow harvest
Acute urinary retention following bone marrow harvest
Temporary exacerbation of MS following general anaesthesia
Hypovolaemia or anaemia following blood and marrow donation
Hypersensitivity to marrow cryopreservative
Exacerbation of MS due to sepsis, for example, urinary tract infection or chest infection
Assessment at or admission to hospital following fall
Clinical laboratory tests for safety analyses
Blood taken for safety analyses will be screened as follows: urea and electrolytes, liver function tests, full blood count with differential white cell count, coagulation, group and save, C-reactive protein, glucose, calcium, magnesium, chloride, bicarbonate, phosphate, viral serology (including cytomegalovirus, Epstein-Barr virus, herpes simplex virus, varicella zoster virus, toxoplasmosis, hepatitis B and C, human immunodeficiency virus, human T cell lymphoma virus and syphilis screening. Urinalysis (microscopy and culture) will also be performed.
Clinical outcome measures
Clinical outcomes will be assessed at entry and after each intervention at 6 weeks, 6 months and 1 year. The clinical rating scales will include the widely used Expanded Disability Status Scale (EDSS) [8] together with the Multiple Sclerosis Functional Composite (MSFC). The latter is a three-part quantitative assessment including a timed walk, nine-hole peg test and Paced Auditory Serial Addition Test (PASAT) [9]. In addition, participants will be asked to complete the MS Impact Scale (MSIS-29), which is a well-validated patient-completed rating scale [10–13].
Paraclinical outcome measures
Magnetic resonance imaging (MRI)
Participants will undergo cranial and spinal MRI at three time points: at baseline and at the end of years 1 and 2. The secondary MRI outcome measures will relate to 1) lesion load, 2) atrophy measures both of the brain and of cross-sectional area of the spinal cord [14], and (3) changes in mean diffusivity [15].
Exploratory analysis of the resting-state fMRI data will investigate correlations between network patterns and ‘strength’ of networks connectivity from the resting-state fMRI with classifications revealed by the various evoked potential studies [16–18].
Optical coherence tomography (OCT)
Measurement of retinal nerve fibre layer thickness [19] and macular volume [20] using OCT is increasingly recognized as an objective outcome measure which accurately reflects axonal loss.
The measures taken for secondary outcomes are as follows:
Safety: evaluation of number and nature of adverse events
Physician-based EDSS: time to EDSS progression of at least one point from a baseline EDSS of 4.0, 4.5 or 5.0 or at least 0.5 point from a baseline EDSS ≥5.5.
Patient-based MSIS-29 physical impact scale version 2: overall mean change from baseline to end of study
MSFC: overall mean change of z-scores, from baseline to final visit
MRI head: T1 weighted 3D gradient echo, 3D FLAIR, DTI and MRI cord (3D gradient echo)
OCT: macular volume, thickness of retinal cell layer
Annual overall patient and treating physician assessments of efficacy.
Trial analyses
A full statistical analysis plan will be written prior to completion of data collection and analyses. The null hypothesis is that there will be no significant difference in the primary and secondary outcomes between intervention and control arms at (a) 12 months, and (b) 2 years. The first 12 months will be a standard comparison of the intervention against control (hypothesis a), while the assessment at 2 years will be a comparison between immediate versus delayed treatment (hypothesis b). We will also have a 2 years’ follow-up and be able to look at the longer term effects of the intervention in patients receiving it immediately.
The distribution of GEPs will be examined and, based on the prior work by Leocani and colleagues [3], it is likely that this will be relatively normally distributed or slightly skewed. In this case we will use conventional linear regression models to estimate the differences in mean GEP between study arms, with 95 % confidence intervals and P-values, to address the above hypotheses (a) and (b) in turn, adjusting for covariates, including baseline GEP and disease type. These primary analyses will follow the intention-to-treat principle.
In addition, a secondary analysis of the measures of GEP at 0, 6, 12, 18 and 24 months will investigate the effect of the intervention over time. This investigation is likely to use a random effects analysis, to allow for individual variation in the level of and degree of change in GEP. Our pre-specified sub-group analyses will compare the magnitude of the treatment effect on GEP between sub-groups defined by gender, baseline GEP and disease type.
Analysis of secondary outcomes will be clearly delineated from the primary analysis in any statistical reports produced. Secondary outcomes (MSFC, category rating scales, annual overall patient and treating physician assessments of efficacy) will be scored according to standard methodology and analysed in a similar way to the primary outcome. Conventional linear regression models will be used for continuous secondary outcome measures, and logistic regression or related methods for binary and categorical outcome measures.
Imaging results will be analysed using a multi-level model enabling accommodation of missing data. The incidence rates of AEs and SAEs will be summarised by treatment group. The proportion of participants discontinuing treatment will be summarised by reason and by treatment group.
Secondary analysis of EDSS
The analysis of EDSS will follow the established practice of using time to first progression as the primary endpoint. However, this approach is not optimal in terms of statistical power, and we will be collecting data on disease progression for the full follow-up duration of the trial allowing an analysis based on mean scores over the follow-up period.
Exploratory analyses
Exploratory analyses will be clearly delineated from the analysis of primary and secondary outcomes in any statistical reports. The exploratory analysis will include prognostic and predictive factor analysis of disease progression and multivariate analysis of response data.
Ethical considerations
The ACTiMuS trial will be undertaken in compliance with the World Medical Association Declaration of Helskinki (revised version of Seoul, 2008) and international standards of Good Clinical Practice. Trial design and processes for implementation have the approval of the UK National Research Ethics Committee (NRES Committee South West – Frenchay, 12SW0358).
Discussion
Our phase I study established the feasibility of autologous bone marrow infusion in patients with MS, provided good evidence of safety and offered preliminary suggestions of efficacy [1]. ACTiMuS will determine whether infusion of autologous marrow does indeed lead to improvements in CNS conduction in patients with progressive MS.
Our proposed trial utilises a randomised, blinded, immediate-versus-delayed therapy controlled protocol. There are two reasons for this design. Firstly, to maintain blinding all patients must believe they could be receiving active intervention, and so all must undergo marrow harvesting. It then becomes unreasonable (and arguably unacceptable) for participants not to receive therapy. This tension is resolved by treating all subjects, but establishing a control arm by comparing immediate versus delayed administration using the stepped wedge design. Secondly, there is very limited evidence as to whether any benefit associated with BM stem cells remains constant, declines or even improves over time. By comparing immediate with delayed therapy we can test whether an additional year of follow-up is associated with any differences in outcomes.
The difficulties of demonstrating neuroprotective or reparative effects over relative short periods of time in progressive MS have been well documented [21]. The GEP has been developed as a tool that, by combining multimodal evoked potential recordings to a single score, may be used to monitor the evolution of MS in individual patients. It has also been employed as a surrogate endpoint in clinical trials, and longitudinal studies in significant numbers of patients with MS (>80) have validated the GEP as a marker of the severity of CNS damage and its progression [3, 22]. Our phase I study helped support the view that electrophysiological assessment represents a sensitive and objective surrogate approach to exploring possible improvement in patients with chronic disability in MS [1] and, combined with the supportive evidence outlined above, justifies our inclusion of change in GEP as the primary outcome measure.
In our phase I trial, we elected to use a filtered preparation of whole bone marrow, rather than one or other selected, growth factor-expanded sub-populations, for several reasons. First, this mimicked the relatively unselected mononuclear cell population that proved beneficial in the first therapeutic studies in rodent demyelinating models [23, 24]. Using unselected BM cells is an increasingly common approach, successfully explored not just in experimental models of stroke [25] and spinal cord injury [26], but also clinically, in patients with myocardial infarction [27, 28], liver disease [29] and peripheral vascular disease [30], and most recently stroke [31].
All BM stem cell sub-populations are in this way included, and several may be beneficial. Multipotent mesenchymal stromal cells (MSCs) are important [32, 33], but CD34-positive haematopoetic stem cells also have reparative potential [34, 35], as do CD133-positive stem cells [36, 37]; other less well-defined sub-populations including Stro-1 positive cells [38–42] may also be valuable [43–45]. Cell selection obviously excludes the majority of cell types; but the available evidence suggests that there is no reason to exclude any specific BM stem cell sub-population; indeed in some circumstances, unfiltered cells have better reparative potential than MSCs [46].
Additionally, the repeated cell cycling and expansion to prepare purified selected MSCs (or other sub-populations) not only induces unwelcome genetic instability [47–49], but may compromise differentiation and repair capacities [50–54]. Finally, if there were benefit from non-selected, non-expanded cells, it would be far easier (and cheaper) to adopt and apply such therapies in relatively non-specialist units, with no requirement for a sterile good manufacturing practice (GMP) cell growth or selection facility.
This ’lumping not splitting’ approach creates the difficulty of obscuring which cell sub-population(s) may actually contribute to the therapeutic effects, but these questions are important opportunities rather than problems: exploring and dissecting the cells and mechanisms relevant to the therapeutic effects should create significant opportunities for developing, refining and improving this form of cell therapy in MS, and we will explore these topics in the laboratory arm of the study which will run concurrently with the clinical trial.
ACTiMuS is the first randomised clinical trial of unfractionated bone marrow-derived cell therapy (without myeloablation) in MS and, as such, represents a landmark in the development of reparative therapies for progressive MS. Furthermore, it will test the sensitivity of employing a modified cross-over protocol with GEP as the primary outcome measure in progressive MS, with potential implication for future clinical trials of reparative and neuroprotective therapies in MS.
Trial status
Recruitment to the ACTiMuS trial commenced in March 2014 and is ongoing.
Acknowledgements
Funding for the clinical aspects of the trial is supplied by The Silverman Family Foundation, the Multiple Sclerosis Trust, the Rosetree’s Trust, the Catholic Bishops of England and Wales and Friends of Frenchay. Support for the laboratory studies, which will run in parallel with the clinical study, is provided by the Medical Research Council (UK). CMR and PS receive support from the Burden Neurological Institute.
Abbreviations
- ACTiMuS
Assessment of Cellular Therapy in progressive Multiple Sclerosis
- AE
adverse event
- BM
bone marrow
- BMCT
bone marrow cell therapy
- BSAEP
brainstem auditory evoked potential
- CNS
central nervous system
- CXR
chest X-ray
- DTI
diffusion tensor imaging
- EDSS
Expanded Disability Status Scale
- FBC
full blood count
- FLAIR
fluid attenuated inversion recovery
- fMRI
functional MRI
- GEP
global evoked potential
- GMP
good manufacturing practice
- Hb
haemoglobin
- MEP
motor evoked potential
- MMEP
multimodal evoked potential
- MPRAGE
Magnetisation Prepared RApid Gradient Echo
- MRI
magnetic resonance imaging
- MS
multiple sclerosis
- MSFC
Multiple Sclerosis Functional Composite
- MSIS-29
Multiple Sclerosis Impact Scale-29
- NHSBT
National Health Service Blood and Transplant
- OCT
optical coherence tomography
- PASAT
Paced Auditory Serial Addition Test
- PPMS
primary progressive multiple sclerosis
- SAE
serious adverse event
- SEP
sensory evoked potential
- SPMS
secondary progressive multiple sclerosis
- VEP
visual evoked potential
Footnotes
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
CMR, DIM, YBS and NJS were responsible for the overall study design. NMK and PW are involved in the neurophysiological outcome measures. NE and PSM designed the neuroradiology protocol. CM and YBS are primarily responsible for statistical analyses. MGG, GM and SB have co-ordinated NHSBT involvement. AW and DAC have contributed to protocol review and refinement. PS, DO, CMR, AW and NJS are involved in the clinical trial processes. JR, PS, CMR, AW and NJS are responsible for the laboratory analyses. CMR drafted the manuscript, the final version of which all authors read and approved.
Contributor Information
Claire M. Rice, Email: c.m.rice@bristol.ac.uk
David I. Marks, Email: david.marks@uhbristol.nhs.uk
Yoav Ben-Shlomo, Email: Y.Ben-Shlomo@bristol.ac.uk.
Nikos Evangelou, Email: Nikos.Evangelou@nottingham.ac.uk.
Paul S. Morgan, Email: Paul.Morgan@nottingham.ac.uk
Chris Metcalfe, Email: Chris.Metcalfe@bristol.ac.uk.
Peter Walsh, Email: Peter.walsh@nbt.nhs.uk.
Nick M. Kane, Email: Nick.kane@nbt.nhs.uk
Martin G. Guttridge, Email: martin.guttridge@nhsbt.nhs.uk
Gail Miflin, Email: gail.miflin@nhsbt.nhs.uk.
Stuart Blackmore, Email: stuart.blackmore@nhsbt.nhs.uk.
Pamela Sarkar, Email: pamela.sarkar@bristol.ac.uk.
Juliana Redondo, Email: Juliana.redondo@bristol.ac.uk.
Denise Owen, Email: Denise.owen@nbt.nhs.uk.
David A. Cottrell, Email: David.cottrell@nbt.nhs.uk
Alastair Wilkins, Email: Alastair.wilkins@bristol.ac.uk.
Neil J. Scolding, Email: n.j.scolding@bristol.ac.uk
References
- 1.Rice CM, Mallam EA, Whone AL, Walsh P, Brooks DJ, Kane N, et al. Safety and feasibility of autologous bone marrow cellular therapy in relapsing-progressive multiple sclerosis. Clin Pharmacol Ther. 2010;87(6):679–85. doi: 10.1038/clpt.2010.44. [DOI] [PubMed] [Google Scholar]
- 2.Leocani L, Medaglini S, Comi G. Evoked potentials in monitoring multiple sclerosis. Neurol Sci. 2000;21(4 Suppl 2):S889–91. doi: 10.1007/s100720070032. [DOI] [PubMed] [Google Scholar]
- 3.Leocani L, Rovaris M, Boneschi FM, Medaglini S, Rossi P, Martinelli V, et al. Multimodal evoked potentials to assess the evolution of multiple sclerosis: a longitudinal study. J Neurol Neurosurg Psychiatry. 2006;77(9):1030–5. doi: 10.1136/jnnp.2005.086280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Brown CA, Lilford RJ. The stepped wedge trial design: a systematic review. BMC Med Res Methodol. 2006;6:54. doi: 10.1186/1471-2288-6-54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Joint UKBTS/HPA Professional Advisory Committee (JPAC). Guidelines for the blood transfusion services in the United Kingdom. 8th ed. UK: The Stationery Office; 2013.
- 6.Deuschl G, Eisen A. International Federation of Clinical Neurophysiology. Recommendations for the practice of clinical neurophysiology: guidelines of the International Federation of Clinical Neurophysiology. Armsterdam: Elsevier; 1999. [Google Scholar]
- 7.Walsh P, Kane N, Butler S. The clinical role of evoked potentials. J Neurol Neurosurg Psychiatry. 2005;76(2):ii16–22. [DOI] [PMC free article] [PubMed]
- 8.Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS) Neurology. 1983;33(11):1444–52. doi: 10.1212/WNL.33.11.1444. [DOI] [PubMed] [Google Scholar]
- 9.Fischer JS, Rudick RA, Cutter GR, Reingold SC. The Multiple Sclerosis Functional Composite Measure (MSFC): an integrated approach to MS clinical outcome assessment. National MS Society Clinical Outcomes Assessment Task Force. Mult Scler. 1999;5(4):244–50. doi: 10.1177/135245859900500409. [DOI] [PubMed] [Google Scholar]
- 10.Costelloe L, O’Rourke K, McGuigan C, Walsh C, Tubridy N, Hutchinson M. The longitudinal relationship between the patient-reported Multiple Sclerosis Impact Scale and the clinician-assessed Multiple Sclerosis Functional Composite. Mult Scler. 2008;14(2):255–8. doi: 10.1177/1352458507081274. [DOI] [PubMed] [Google Scholar]
- 11.Hoogervorst EL, Zwemmer JN, Jelles B, Polman CH, Uitdehaag BM. Multiple Sclerosis Impact Scale (MSIS-29): relation to established measures of impairment and disability. Mult Scler. 2004;10(5):569–74. doi: 10.1191/1352458504ms1078oa. [DOI] [PubMed] [Google Scholar]
- 12.Riazi A, Hobart JC, Lamping DL, Fitzpatrick R, Thompson AJ. Multiple Sclerosis Impact Scale (MSIS-29): reliability and validity in hospital based samples. J Neurol Neurosurg Psychiatry. 2002;73(6):701–4. doi: 10.1136/jnnp.73.6.701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hobart J, Lamping D, Fitzpatrick R, Riazi A, Thompson A. The Multiple Sclerosis Impact Scale (MSIS-29): a new patient-based outcome measure. Brain. 2001;124(Pt 5):962–73. doi: 10.1093/brain/124.5.962. [DOI] [PubMed] [Google Scholar]
- 14.Tench CR, Morgan PS, Constantinescu CS. Measurement of cervical spinal cord cross-sectional area by MRI using edge detection and partial volume correction. JMRI. 2005;21(3):197–203. doi: 10.1002/jmri.20253. [DOI] [PubMed] [Google Scholar]
- 15.Lin X, Tench CR, Morgan PS, Niepel G, Constantinescu CS. ‘Importance sampling’ in MS: use of diffusion tensor tractography to quantify pathology related to specific impairment. J Neurol Sci. 2005;237(1-2):13–9. doi: 10.1016/j.jns.2005.04.019. [DOI] [PubMed] [Google Scholar]
- 16.van den Heuvel MP, Hulshoff Pol HE. Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol. 2010;20(8):519–34. doi: 10.1016/j.euroneuro.2010.03.008. [DOI] [PubMed] [Google Scholar]
- 17.Liu Y, Liang P, Duan Y, Jia X, Yu C, Zhang M, et al. Brain plasticity in relapsing-remitting multiple sclerosis: evidence from resting-state fMRI. J Neurol Sci. 2011;304(1-2):127–31. doi: 10.1016/j.jns.2011.01.023. [DOI] [PubMed] [Google Scholar]
- 18.Bonavita S, Gallo A, Sacco R, Corte MD, Bisecco A, Docimo R, et al. Distributed changes in default-mode resting-state connectivity in multiple sclerosis. Mult Scler. 2011;17(4):411–22. doi: 10.1177/1352458510394609. [DOI] [PubMed] [Google Scholar]
- 19.Noval S, Contreras I, Munoz S, Oreja-Guevara C, Manzano B, Rebolleda G. Optical coherence tomography in multiple sclerosis and neuromyelitis optica: an update. Mult Scler Int. 2011;2011:472790. doi: 10.1155/2011/472790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Burkholder BM, Osborne B, Loguidice MJ, Bisker E, Frohman TC, Conger A, et al. Macular volume determined by optical coherence tomography as a measure of neuronal loss in multiple sclerosis. Arch Neurol. 2009;66(11):1366–72. doi: 10.1001/archneurol.2009.230. [DOI] [PubMed] [Google Scholar]
- 21.Hyland M, Rudick RA. Challenges to clinical trials in multiple sclerosis: outcome measures in the era of disease-modifying drugs. Curr Opin Neurol. 2011;24(3):255–61. doi: 10.1097/WCO.0b013e3283460542. [DOI] [PubMed] [Google Scholar]
- 22.Tubridy N, Coles AJ, Molyneux P, Compston DA, Barkhof F, Thompson AJ, et al. Secondary progressive multiple sclerosis: the relationship between short-term MRI activity and clinical features. Brain. 1998;121(Pt 2):225–31. doi: 10.1093/brain/121.2.225. [DOI] [PubMed] [Google Scholar]
- 23.Akiyama Y, Radtke C, Honmou O, Kocsis JD. Remyelination of the spinal cord following intravenous delivery of bone marrow cells. Glia. 2002;39(3):229–36. doi: 10.1002/glia.10102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Sasaki M, Honmou O, Akiyama Y, Uede T, Hashi K, Kocsis JD. Transplantation of an acutely isolated bone marrow fraction repairs demyelinated adult rat spinal cord axons. Glia. 2001;35(1):26–34. doi: 10.1002/glia.1067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Barbosa da Fonseca LM, Gutfilen B, Rosado de Castro PH, Battistella V, Goldenberg RC, Kasai-Brunswick T, et al. Migration and homing of bone-marrow mononuclear cells in chronic ischemic stroke after intra-arterial injection. Exp Neurol. 2010;221(1):122–8. doi: 10.1016/j.expneurol.2009.10.010. [DOI] [PubMed] [Google Scholar]
- 26.Yoshihara T, Ohta M, Itokazu Y, Matsumoto N, Dezawa M, Suzuki Y, et al. Neuroprotective effect of bone marrow-derived mononuclear cells promoting functional recovery from spinal cord injury. J Neurotrauma. 2007;24(6):1026–36. doi: 10.1089/neu.2007.132R. [DOI] [PubMed] [Google Scholar]
- 27.Schachinger V, Erbs S, Elsasser A, Haberbosch W, Hambrecht R, Holschermann H, et al. Improved clinical outcome after intracoronary administration of bone-marrow-derived progenitor cells in acute myocardial infarction: final 1-year results of the REPAIR-AMI trial. Eur Heart J. 2006;27(23):2775–83. doi: 10.1093/eurheartj/ehl388. [DOI] [PubMed] [Google Scholar]
- 28.Wollert KC, Meyer GP, Lotz J, Ringes-Lichtenberg S, Lippolt P, Breidenbach C, et al. Intracoronary autologous bone-marrow cell transfer after myocardial infarction: the BOOST randomised controlled clinical trial. Lancet. 2004;364(9429):141–8. doi: 10.1016/S0140-6736(04)16626-9. [DOI] [PubMed] [Google Scholar]
- 29.Lyra AC, Soares MB, da Silva LF, Braga EL, Oliveira SA, Fortes MF, et al. Infusion of autologous bone marrow mononuclear cells through hepatic artery results in a short-term improvement of liver function in patients with chronic liver disease: a pilot randomized controlled study. Eur J Gastroenterol Hepatol. 2010;22(1):33–42. doi: 10.1097/MEG.0b013e32832eb69a. [DOI] [PubMed] [Google Scholar]
- 30.Motukuru V, Suresh KR, Vivekanand V, Raj S, Girija KR. Therapeutic angiogenesis in Buerger’s disease (thromboangiitis obliterans) patients with critical limb ischemia by autologous transplantation of bone marrow mononuclear cells. J Vasc Surg. 2008;48(6 Suppl):53S–60S. doi: 10.1016/j.jvs.2008.09.005. [DOI] [PubMed] [Google Scholar]
- 31.Savitz SI, Misra V, Kasam M, Juneja H, Cox CS, Jr, Alderman S, et al. Intravenous autologous bone marrow mononuclear cells for ischemic stroke. Ann Neurol. 2011;70(1):59–69. doi: 10.1002/ana.22458. [DOI] [PubMed] [Google Scholar]
- 32.Akiyama Y, Radtke C, Kocsis JD. Remyelination of the rat spinal cord by transplantation of identified bone marrow stromal cells. J Neurosci. 2002;22(15):6623–30. doi: 10.1523/JNEUROSCI.22-15-06623.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gordon D, Pavlovska G, Glover CP, Uney JB, Wraith D, Scolding NJ. Human mesenchymal stem cells abrogate experimental allergic encephalomyelitis after intraperitoneal injection, and with sparse CNS infiltration. Neurosci Lett. 2008;448(1):71–3. doi: 10.1016/j.neulet.2008.10.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Koshizuka S, Okada S, Okawa A, Koda M, Murasawa M, Hashimoto M, et al. Transplanted hematopoietic stem cells from bone marrow differentiate into neural lineage cells and promote functional recovery after spinal cord injury in mice. J Neuropathol Exp Neurol. 2004;63(1):64–72. doi: 10.1093/jnen/63.1.64. [DOI] [PubMed] [Google Scholar]
- 35.Zuba-Surma EK, Kucia M, Ratajczak J, Ratajczak MZ. “Small stem cells” in adult tissues: very small embryonic-like stem cells stand up! Cytometry A. 2009;75(1):4–13. doi: 10.1002/cyto.a.20665. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Bakondi B, Shimada IS, Perry A, Munoz JR, Ylostalo J, Howard AB, et al. CD133 identifies a human bone marrow stem/progenitor cell sub-population with a repertoire of secreted factors that protect against stroke. Mol Ther: J American Soc Gene Ther. 2009;17(11):1938–47. doi: 10.1038/mt.2009.185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Harris JR, Fisher R, Jorgensen M, Kaushal S, Scott EW. CD133 progenitor cells from the bone marrow contribute to retinal pigment epithelium repair. Stem Cells. 2009;27(2):457–66. doi: 10.1634/stemcells.2008-0836. [DOI] [PubMed] [Google Scholar]
- 38.Dennis JE, Carbillet JP, Caplan AI, Charbord P. The STRO-1+ marrow cell population is multipotential. Cells Tissues Organs. 2002;170(2-3):73–82. doi: 10.1159/000046182. [DOI] [PubMed] [Google Scholar]
- 39.Nasef A, Zhang YZ, Mazurier C, Bouchet S, Bensidhoum M, Francois S, et al. Selected Stro-1-enriched bone marrow stromal cells display a major suppressive effect on lymphocyte proliferation. Int J Lab Hematol. 2009;31(1):9–19. doi: 10.1111/j.1751-553X.2007.00997.x. [DOI] [PubMed] [Google Scholar]
- 40.Psaltis PJ, Paton S, See F, Arthur A, Martin S, Itescu S, et al. Enrichment for STRO-1 expression enhances the cardiovascular paracrine activity of human bone marrow-derived mesenchymal cell populations. J Cell Physiol. 2010;223(2):530–40. doi: 10.1002/jcp.22081. [DOI] [PubMed] [Google Scholar]
- 41.Simmons PJ, Torok-Storb B. Identification of stromal cell precursors in human bone marrow by a novel monoclonal antibody, STRO-1. Blood. 1991;78(1):55–62. [PubMed] [Google Scholar]
- 42.Stewart K, Monk P, Walsh S, Jefferiss CM, Letchford J, Beresford JN. STRO-1, HOP-26 (CD63), CD49a and SB-10 (CD166) as markers of primitive human marrow stromal cells and their more differentiated progeny: a comparative investigation in vitro. Cell Tissue Res. 2003;313(3):281–90. doi: 10.1007/s00441-003-0762-9. [DOI] [PubMed] [Google Scholar]
- 43.Morikawa S, Mabuchi Y, Niibe K, Suzuki S, Nagoshi N, Sunabori T, et al. Development of mesenchymal stem cells partially originate from the neural crest. Biochem Biophys Res Commun. 2009;379(4):1114–9. doi: 10.1016/j.bbrc.2009.01.031. [DOI] [PubMed] [Google Scholar]
- 44.Nagoshi N, Shibata S, Kubota Y, Nakamura M, Nagai Y, Satoh E, et al. Ontogeny and multipotency of neural crest-derived stem cells in mouse bone marrow, dorsal root ganglia, and whisker pad. Cell Stem Cell. 2008;2(4):392–403. doi: 10.1016/j.stem.2008.03.005. [DOI] [PubMed] [Google Scholar]
- 45.Rice CM, Clavel C, Mazo M, Prosper F, Scolding NJ. Multipotent adult progenitor cell isolation and proliferation in cytokine and serum-free medium conditioned by rat B104 cells. Br J Haematol. 2010;148(3):441–4. doi: 10.1111/j.1365-2141.2009.07986.x. [DOI] [PubMed] [Google Scholar]
- 46.van der Bogt KE, Sheikh AY, Schrepfer S, Hoyt G, Cao F, Ransohoff KJ, et al. Comparison of different adult stem cell types for treatment of myocardial ischemia. Circulation. 2008;118(14 Suppl):S121–9. doi: 10.1161/CIRCULATIONAHA.107.759480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Dahl JA, Duggal S, Coulston N, Millar D, Melki J, Shahdadfar A, et al. Genetic and epigenetic instability of human bone marrow mesenchymal stem cells expanded in autologous serum or fetal bovine serum. Int J Dev Biol. 2008;52(8):1033–42. doi: 10.1387/ijdb.082663jd. [DOI] [PubMed] [Google Scholar]
- 48.Miura M, Miura Y, Padilla-Nash HM, Molinolo AA, Fu B, Patel V, et al. Accumulated chromosomal instability in murine bone marrow mesenchymal stem cells leads to malignant transformation. Stem Cells. 2006;24(4):1095–103. doi: 10.1634/stemcells.2005-0403. [DOI] [PubMed] [Google Scholar]
- 49.Tonti GA, Mannello F. From bone marrow to therapeutic applications: different behaviour and genetic/epigenetic stability during mesenchymal stem cell expansion in autologous and foetal bovine sera? Int J Dev Biol. 2008;52(8):1023–32. doi: 10.1387/ijdb.082725gt. [DOI] [PubMed] [Google Scholar]
- 50.Alves H, Munoz-Najar U, De Wit J, Renard AJ, Hoeijmakers JH, Sedivy JM, et al. A link between the accumulation of DNA damage and loss of multipotency of human mesenchymal stromal cells. J Cell Mol Med. 2009;14:2729–38. doi: 10.1111/j.1582-4934.2009.00931.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Crisostomo PR, Wang M, Wairiuko GM, Morrell ED, Terrell AM, Seshadri P, et al. High passage number of stem cells adversely affects stem cell activation and myocardial protection. Shock. 2006;26(6):575–80. doi: 10.1097/01.shk.0000235087.45798.93. [DOI] [PubMed] [Google Scholar]
- 52.Dominici M, Le BK, Mueller I, Slaper-Cortenbach I, Marini F, Krause D, et al. Minimal criteria for defining multipotent mesenchymal stromal cells. The International Society for Cellular Therapy position statement. Cytotherapy. 2006;8(4):315–7. doi: 10.1080/14653240600855905. [DOI] [PubMed] [Google Scholar]
- 53.Dominici M, Paolucci P, Conte P, Horwitz EM. Heterogeneity of multipotent mesenchymal stromal cells: from stromal cells to stem cells and vice versa. Transplantation. 2009;87(9 Suppl):S36–42. doi: 10.1097/TP.0b013e3181a283ee. [DOI] [PubMed] [Google Scholar]
- 54.Kretlow JD, Jin YQ, Liu W, Zhang WJ, Hong TH, Zhou G, et al. Donor age and cell passage affects differentiation potential of murine bone marrow-derived stem cells. BMC Cell Biol. 2008;9:60. doi: 10.1186/1471-2121-9-60. [DOI] [PMC free article] [PubMed] [Google Scholar]