Phases and Phenotypes of Multiple Sclerosis

Restless Legs Syndrome and fatigue in multiple sclerosis: A cross-sectional clinical study

BACKGROUND

Restless Legs Syndrome is a sleep-related sensorimotor disorder with a higher prevalence in Multiple Sclerosis (MS) patients than in the general population. Our aim was to determine the prevalence of RLS in a group of relapsing-remittent multiple sclerosis (RRMS) patients, and to investigate whether RLS is associated with MS-related disability, sleep quality, mood disorders and fatigue.

METHODS

In this retrospective, mono-centric, observational study, 92 RRMS patients were recruited (median age 46.5 years, 68.5% female patients). Data on MS clinical and radiological variables were collected. Patients underwent a subjective evaluation with standardized questionnaires on sleep fatigue and mood, which were evaluated by an expert neurologists specialized in sleep disorders about the occurrence of RLS.

RESULTS

Prevalence of RLS in our sample was of 47.8%. Patients with RLS had a significantly higher rate of worse sleep quality and fatigue, compared to non RLS subjects (respectively 56.8% vs. 35.4%, p=0.04 and 54.4% vs 22.7%, p=0.002). Univariate analysis showed that RLS was significantly more frequent in fatigued patients (66.7% vs 38.5% RLS- patients, p=0.009). Multivariate analysis showed that fatigue correlated with MS-related disability (OR 1.556, p=0.011), poor sleep quality (OR 1.192, p 0.036), and mood disorders (OR 1.096, p 0.046). RLS appears to independently increase the risk of fatigue of 50%, without reaching clear statistical significance (OR 1.572, p 0,0079).

CONCLUSION

Our study confirms the high prevalence of RLS in patients with multiple sclerosis and highlights the potential impact of RLS on fatigue and its strict interaction with sleep quality.

Alterations of Oligodendrocyte and Myelin Energy Metabolism in Multiple Sclerosis

Multiple sclerosis (MS) is a complex autoimmune disease of the central nervous system (CNS), characterized by demyelination and neurodegeneration. Oligodendrocytes play a vital role in maintaining the integrity of myelin, the protective sheath around nerve fibres essential for efficient signal transmission. However, in MS, oligodendrocytes become dysfunctional, leading to myelin damage and axonal degeneration. Emerging evidence suggests that metabolic changes, including mitochondrial dysfunction and alterations in glucose and lipid metabolism, contribute significantly to the pathogenesis of MS. Mitochondrial dysfunction is observed in both immune cells and oligodendrocytes within the CNS of MS patients. Impaired mitochondrial function leads to energy deficits, affecting crucial processes such as impulse transmission and axonal transport, ultimately contributing to neurodegeneration. Moreover, mitochondrial dysfunction is linked to the generation of reactive oxygen species (ROS), exacerbating myelin damage and inflammation. Altered glucose metabolism affects the energy supply required for oligodendrocyte function and myelin synthesis. Dysregulated lipid metabolism results in changes to the composition of myelin, affecting its stability and integrity. Importantly, low levels of polyunsaturated fatty acids in MS are associated with upregulated lipid metabolism and enhanced glucose catabolism. Understanding the intricate relationship between these mechanisms is crucial for developing targeted therapies to preserve myelin and promote neurological recovery in individuals with MS. Addressing these metabolic aspects may offer new insights into potential therapeutic strategies to halt disease progression and improve the quality of life for MS patients.

Subtypes of relapsing-remitting multiple sclerosis identified by network analysis

We used network analysis to identify subtypes of relapsing-remitting multiple sclerosis subjects based on their cumulative signs and symptoms. The electronic medical records of 113 subjects with relapsing-remitting multiple sclerosis were reviewed, signs and symptoms were mapped to classes in a neuro-ontology, and classes were collapsed into sixteen superclasses by subsumption. After normalization and vectorization of the data, bipartite (subject-feature) and unipartite (subject-subject) network graphs were created using NetworkX and visualized in Gephi. Degree and weighted degree were calculated for each node. Graphs were partitioned into communities using the modularity score. Feature maps visualized differences in features by community. Network analysis of the unipartite graph yielded a higher modularity score (0.49) than the bipartite graph (0.25). The bipartite network was partitioned into five communities which were named fatigue, behavioral, hypertonia/weakness, abnormal gait/sphincter, and sensory, based on feature characteristics. The unipartite network was partitioned into five communities which were named fatigue, pain, cognitive, sensory, and gait/weakness/hypertonia based on features. Although we did not identify pure subtypes (e.g., pure motor, pure sensory, etc.) in this cohort of multiple sclerosis subjects, we demonstrated that network analysis could partition these subjects into different subtype communities. Larger datasets and additional partitioning algorithms are needed to confirm these findings and elucidate their significance. This study contributes to the literature investigating subtypes of multiple sclerosis by combining feature reduction by subsumption with network analysis.

Multimodal Agility-Based Exercise Training for Persons With Multiple Sclerosis: A New Framework

INTRODUCTION

Multimodal agility-based exercise training (MAT) has been described as a framework for fall prevention in the elderly but might also be a valuable concept for exercise training in persons with Multiple Sclerosis (pwMS).

THE PROBLEM

Current recommendations advise pwMS to perform a multitude of different exercise training activities, as each of these has its separate evidence. However, pwMS struggle even more than the general population to be physically active. Additionally, Multiple Sclerosis often leads to co-occurring mobility and cognitive dysfunctions, for which simultaneous, time-efficient, and engaging training approaches are still limited in clinical practice and healthcare.

THE SOLUTION

The MAT framework has been developed to integratively improve cardiovascular, neuromuscular, and cognitive function by combining aspects of perception and orientation, change of direction, as well as stop-and-go patterns (ie, agility), in a group-training format. For pwMS, the MAT framework is conceptualized to include 3 Components: standing balance, dynamic balance (including functional leg strength), and agility-based exercises. Within these Components sensory, cognitive, and cardiovascular challenges can be adapted to individual needs.

RECOMMENDATIONS

We recommend investigating multimodal exercise interventions that go beyond easily standardized, unimodal types of exercise (eg, aerobic or resistance exercise), which could allow for time-efficient training, targeting multiple frequent symptoms of persons with mild disability at once. MAT should be compared to unimodal approaches, regarding sensor-based gait outcomes, fatigue-related outcomes, cognition, as well as neuroprotective, and (supportive) disease-modifying effects.

Results from Patient Interviews on Fatigue in Progressive Multiple Sclerosis and Evaluation of Fatigue Patient-Reported Outcome (PRO) Instruments

Introduction

Fatigue is one of the most common and debilitating symptoms of multiple sclerosis (MS) but is challenging to assess and has not been comprehensively characterized in patients with progressive MS. This study aimed to (1) obtain qualitative evidence from patients with progressive MS to characterize MS-related fatigue concepts and their impacts on health-related quality of life (HRQoL), and (2) evaluate the conceptual frameworks of existing MS-specific fatigue patient-reported outcome (PRO) instruments using study data to determine the most suitable PRO instrument in this population.

Methods

Qualitative interviews were conducted with 30 US participants with confirmed progressive MS and fatigue in the last 6 months to assess their MS-related fatigue. Data were compared with concepts in existing PRO instruments to evaluate their relevance in progressive MS.

Results

Physical and mental concepts of fatigue were identified and characterized distinctly from patients with progressive MS. Most patients characterized fatigue as occurring daily and lasting several hours, with negative impacts on HRQoL. Concept mapping to existing MS-specific fatigue PRO instruments supported the Fatigue Severity Impact Questionnaire—Relapsing Multiple Sclerosis (FSIQ-RMS) as the most suitable existing option for assessing fatigue in patients with progressive MS, as it separates physical and mental aspects of fatigue and includes every highly endorsed concept reported by the interviewed patients.

Conclusions

This qualitative study identified meaningful physical and mental fatigue concepts in patients with progressive MS and preliminarily supports the use of the FSIQ-RMS for this population. More research is needed to fully validate this instrument for progressive MS.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40120-022-00337-9.

Are Neurophysiological Biomarkers Able to Discriminate Multiple Sclerosis Clinical Subtypes?

Secondary progressive multiple sclerosis (SPMS) subtype is retrospectively diagnosed, and biomarkers of the SPMS are not available. We aimed to identify possible neurophysiological markers exploring grey matter structures that could be used in clinical practice to better identify SPMS. Fifty-five people with MS and 31 healthy controls underwent a transcranial magnetic stimulation protocol to test intracortical interneuron excitability in the primary motor cortex and somatosensory temporal discrimination threshold (STDT) to test sensory function encoded in cortical and deep grey matter nuclei. A logistic regression model was used to identify a combined neurophysiological index associated with the SP subtype. We observed that short intracortical inhibition (SICI) and STDT were the only variables that differentiated the RR from the SP subtype. The logistic regression model provided a formula to compute the probability of a subject being assigned to an SP subtype based on age and combined SICI and STDT values. While only STDT correlated with disability level at baseline evaluation, both SICI and STDT were associated with disability at follow-up. SICI and STDT abnormalities reflect age-dependent grey matter neurodegenerative processes that likely play a role in SPMS pathophysiology and may represent easily accessible neurophysiological biomarkers for the SPMS subtype.

Impact of rituximab in Mexican patients with Multiple Sclerosis-A single-center retrospective study

BACKGROUND

Multiple Sclerosis (MS) is a chronic autoimmune disease of the central nervous system (CNS). B cells have an essential role in the disease pathogenesis and therefore selective B-cell depletion are commonly used to treat the disease. Rituximab (RTX), a chimeric anti-CD20 monoclonal antibody had demonstrated reduced inflammatory activity and radiological activity in MS patients. Due to economic constrains and treatment access limitations, RTX is often used as a treatment alternative in these patients. Here, we described our center experience in RTX -treated MS patients.

METHODS

A single-center observational retrospective study was conducted in a Mexican cohort MS during 2010 to 2020. All patients had a confirmed MS diagnosis.All patients received fixed scheme involving induction with 1 g on day one and day 15, followed by 500 mg-1 g every six months for maintenance. Annual Relapse Rate (ARR), Progression index (PI), Expanded Disability Status Scale (EDSS) and MRI activity of the disease were evaluated. Comparison between naïve and non-naïve patients was also conducted.

RESULTS

A total of 85 patients were included. The mean age at diagnosis was 33.13 (±8.90) years with 73 (85.9%) being RRMS. 39 (34.1%) were treatment-naïve. While treated with RTX, 62(72.9%) patients reached a free-of-relapse status, with statistically significant decrease in the mean ARR from 0.82 to 0.36 [0.14 (95%CI: 0.09-0.20), p = 0.0001 and EDSS [0.25 CI 0-0.5 (p = 0.034)] and a decrease in their T1 Gd-enhancing MRI lesions (1.64 vs. 0.12 CI 0.70-2.30, p = 0.004. 29 (29.4%) patients achieved NEDA-3. Among all patients, only 2 (2.4%) experienced infusion-related mild adverse events. No serious adverse events were reported.

CONCLUSION

We found significant clinical and radiological improvement in naïve and non-naïve MS patients treated with RTX.

Myelin imaging measures as predictors of cognitive impairment in MS patients: A hybrid PET-MRI study

BACKGROUND

Cognitive impairment is one of the concerns of Multiple Sclerosis (MS) and has been related to myelin loss. Different neuroimaging methods have been used to quantify myelin and relate it to cognitive dysfunctions, among them Magnetization Transfer Ratio (MTR), Diffusion Tensor Imaging (DTI), and, more recently, Positron Emission Tomography (PET) with ¹¹C-PIB.

OBJECTIVE

To investigate different myelin imaging modalities as predictors of cognitive dysfunction.

METHODS

Fifty-one MS patients and 24 healthy controls underwent clinical and neuropsychological assessment and MTR, DTI (Axial Diffusion-AD and Fractional Anisotropy-FA maps), and ¹¹C-PIB PET images in a PET/MR hybrid system.

RESULTS

MTR and DTI(FA) differed in patients with or without cognitive impairment. There was an association of DTI(FA) and DTI(AD) with cognition and psychomotor speed for progressive MS, and of ¹¹C-PIB uptake and MTR for relapsing-remitting MS. MTR in the Thalamus (β= -0.51, p = 0.021) and Corpus Callosum (β= -0.24, p = 0.033) were predictive of cognitive impairment. DTI-FA in the Caudate (β= -26.93, p = 0.006) presented abnormal predictive result.

CONCLUSION

Lower myelin content by ¹¹C-PIB uptake was associated with worse cognitive status. MTR was predictive of cognitive impairment in MS.

The use of Modified Rio score for determining treatment failure in patients with multiple sclerosis: retrospective descriptive case series study

Predicting treatment failure and switching effective treatment immediately in patients with multiple sclerosis (MS) is important. We aimed to evaluate the usefulness of Modified Rio score (MRS) in predicting treatment failure in MS patients. This is a retrospective study, which was conducted in two University Hospital. 129 MS patients treated with İnterferon or glatiramer-acetate from 2 clinical sites, were retrospectively selected. MRS was calculated after the first year of therapy. Treatment failure was defined as the presence of a 1 point increase in EDSS, 2 clinical attacks, 1 clinical attack and progression, 1 clinical attack and new lesion on MRI except associated with an attack, or new lesion in 2 different MRI taken at least 3 months apart. The sensitivity, specificity, positive and negative predictive values of the MRS in predicting treatment failure were determined. 71 (55%) patients with score '0', 41 (31.8%) patients with score '1', 11 (8.5%) patients with score '2', 6 (4.7%) patients with score '3' were detected. 14 patients needed treatment switching during the first three years of the treatment. Sensitivity was 57%, specificity was 92%, positive predictive value was 95%, negative predictive value was 47% and accuracy was 89%. Modified Rio score (MRS) was found to be effective in determining the treatment failure as mentioned before. This study will be useful for clinicians who evaluate the treatment failure like us, and this study revealed that the MRS may also help predict treatment failure.

Ocular adverse events from pharmacological treatment in patients with multiple sclerosis-A systematic review of the literature

PURPOSE

The aim of this study was to review the scientific evidence and describe the ocular treatment-emergent adverse events (TEAEs) related to pharmacological treatment in patients with multiple sclerosis.

METHODS

A systematic review of literature was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines in the MEDLINE, LILACS, EMBASE, and COCHRANE databases. Articles were filtered based on title and abstract considering the selection criteria and subsequently filtered by full-text reading. The resulting articles were evaluated using the Joanna Briggs Institute Quality Tools. Study characteristics and results were extracted and presented in structured tables to conduct a narrative synthesis.

RESULTS

A total of 2852 published articles were extracted using our strategy. After removing duplicates, 2841 articles were screened based on title and abstract, 102 articles were evaluated using quality tools, and 69 articles were filtered by full-text reading. Through this search strategy, 60 articles met all the inclusion criteria and seven articles, through a search update conducted in the same manner, were included. This resulted in 67 articles meeting the inclusion criteria, of which 11 were experimental and 56 were observational. The therapies related to ocular TEAEs were alemtuzumab, amantadine, fingolimod, steroids, CTLA-4 Ig, estriol, interferon β, natalizumab, hyperbaric oxygen, rituximab, siponimod, teriflunomide, and tovaxin. Fingolimod and siponimod were commonly associated with macular edema, interferon β was associated with retinopathy, alemtuzumab was associated with thyroid eye disease, amantadine was associated with corneal edema, and steroids were associated with acute retinal necrosis. Opportunistic infections were also found, and there was one life-threatening case.

CONCLUSIONS

Our search revealed different methodological assessments of the topic. However, longitudinal studies regarding ocular TEAEs related to multiple sclerosis therapy are necessary to provide evidence-based recommendations, especially in understudied regions such as Latin America and Africa. Physicians should monitor ocular symptoms in patients being treated for multiple sclerosis and consider an interdisciplinary approach.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO ID CRD42020106886.

Immersive Virtual Reality and Vestibular Rehabilitation in Multiple Sclerosis: Case Report

Background

Dizziness and imbalance are common and disabling symptoms in patients with multiple sclerosis (MS) and are caused by a central, peripheral, or mixed vestibulopathy. Central vestibular disorder is the most frequently reported vestibular problem in the MS population due to demyelination. Vestibular rehabilitation ameliorates these symptoms and their repercussions and improves quality of life. Immersive virtual reality (VRi) is an emerging tool in this field; however, no previous research has been performed studying its effects in MS.

Objective

The aim of this study was to apply a VRi vestibular training protocol to a patient with MS and assess the effects induced by the experimental intervention.

Methods

This case study included a 54-year-old woman with relapsing-remitting MS. We developed a standardized VRi exercise protocol for vestibular rehabilitation based on the gold-standard Cawthorne-Cooksey vestibular training protocol. The 20-session intervention was made up of 10 initial sessions and 10 advanced sessions. Each 50-minute session was performed two to three times per week for 7 weeks. Four evaluations were carried out over the study period: at baseline (T0), between initial and advances phases (T1), postintervention (T2), and 1 month after the experimental procedure (T3). The research outcomes were dizziness, balance, gait, impact of fatigue, quality of life, repercussions in muscular tone, and usability of the head-mounted display device.

Results

After implementing the VRi vestibular protocol, improvements were seen in the following patient parameters: Dizziness Handicap Inventory score (62 points at T0; 4 points at T2); Berg Balance Scale score (47 points at T0; 54 points at T2); instrumented Timed Up and Go time (8.35 seconds at T0; 5.57 seconds at T2); muscular tone of the erector spinae, rectus femoris, and soleus; Modified Fatigue Impact Scale score (61 points at T0; 37 points at T2); and Multiple Sclerosis Quality of Life-54 values (67.16% in the physical health area at T2; 33.56% in the mental health area at T2). The patient rated the usability of the system as 90%, based on the System Usability Scale, and gave the system a grade of A.

Conclusions

Although further research is needed, this study provided initial evidence that the first VRi vestibular protocol for the MS population can improve dizziness, balance, gait, impact of fatigue, quality of life, and muscular tone through an exergame intervention. This study may help establish a standardized VRi protocol for vestibular rehabilitation.

Onset Symptom Clusters in Multiple Sclerosis: Characteristics, Comorbidities, and Risk Factors

Background: Multiple sclerosis (MS) symptoms are expected to aggregate in specific patterns across different stages of the disease. Here, we studied the clustering of onset symptoms and examined their characteristics, comorbidity patterns and associations with potential risk factors.

Methods: Data stem from the Swiss Multiple Sclerosis Registry, a prospective study including 2,063 participants by November 2019. MS onset symptoms were clustered using latent class analysis (LCA). The latent classes were further examined using information on socio-demographic characteristics, MS-related features, potential risk factors, and comorbid diseases.

Results: The LCA model with six classes (frequencies ranging from 12 to 24%) was selected for further analyses. The latent classes comprised a multiple symptoms class with high probabilities across several symptoms, contrasting with two classes with solitary onset symptoms: vision problems and paresthesia. Two gait classes emerged between these extremes: the gait-balance class and the gait-paralysis class. The last class was the fatigue-weakness-class, also accompanied by depression symptoms, memory, and gastro-intestinal problems. There was a moderate variation by sex and by MS types. The multiple symptoms class yielded increased comorbidity with other autoimmune disorders. Similar to the fatigue-weakness class, the multiple symptoms class showed associations with angina, skin diseases, migraine, and lifetime prevalence of smoking. Mononucleosis was more frequently reported in the fatigue-weakness and the paresthesia class. Familial aggregation did not differ among the classes.

Conclusions: Clustering of MS onset symptoms provides new perspectives on the heterogeneity of MS. The clusters comprise different potential risk factors and comorbidities. They point toward different risk mechanisms.

Exploring Multiple Sclerosis (MS) and Amyotrophic Lateral Scler osis (ALS) as Neurodegenerative Diseases and their Treatments: A Review Study

Growing concern about neurodegenerative diseases is becoming a global issue. It is estimated that not only will their prevalence increase but also morbidity and health burden will be concerning. Scientists, researchers and clinicians share the responsibility of raising the awareness and knowledge about the restricting and handicapping health restrains related to these diseases. Multiple Sclerosis (MS), as one of the prevalent autoimmune diseases, is characterized by abnormal regulation of the immune system that periodically attacks parts of the nervous system; brain and spinal cord. Symptoms and impairments include weakness, numbness, visual problems, tingling pain that are quietly variable among patients. Amyotrophic Lateral Sclerosis (ALS) is another neurodegenerative disease that is characterized by the degeneration of motor neurons in the brain and spinal cord. Unlike MS, symptoms begin with muscle weakness and progress to affect speech, swallowing and finally breathing. Despite the major differences between MS and ALS, misdiagnosis is still influencing disease prognosis and patient's quality of life. Diagnosis depends on obtaining a careful history and neurological examination as well as the use of Magnetic Resonance Imaging (MRI), which are considered challenging and depend on the current disease status in individuals. Fortunately, a myriad of treatments is available now for MS. Most of the cases are steroid responsive. Disease modifying therapy is amongst the most important set of treatments. In ALS, few medications that slow down disease progression are present. The aim of this paper is to summarize what has been globally known and practiced about MS and ALS, as they are currently classified as important growing key players among autoimmune diseases. In terms of treatments, it is concluded that special efforts and input should be directed towards repurposing of older drugs and on stem cells trials. As for ALS, it is highlighted that supportive measurements and supplementary treatments remain essentially needed for ALS patients and their families. On the other hand, it is noteworthy to clarify that the patient-doctor communication is relatively a cornerstone in selecting the best treatment for each MS patient.

A Blueprint for Identifying Phenotypes and Drug Targets in Complex Disorders with Empirical Dynamics

A central challenge in medicine is translating from observational understanding to mechanistic understanding, where some observations are recognized as causes for the others. This can lead not only to new treatments and understanding, but also to recognition of novel phenotypes. Here, we apply a collection of mathematical techniques (empirical dynamics), which infer mechanistic networks in a model-free manner from longitudinal data, to hematopoiesis. Our study consists of three subjects with markers for cyclic thrombocytopenia, in which multiple cells and proteins undergo abnormal oscillations. One subject has atypical markers and may represent a rare phenotype. Our analyses support this contention, and also lend new evidence to a theory for the cause of this disorder. Simulations of an intervention yield encouraging results, even when applied to patient data outside our three subjects. These successes suggest that this blueprint has broader applicability in understanding and treating complex disorders.

Current Methods of Magnetic Resonance for Noninvasive Assessment of Molecular Aspects of Pathoetiology in Multiple Sclerosis

Multiple sclerosis (MS) is an autoimmune disease with expanding axonal and neuronal degeneration in the central nervous system leading to motoric dysfunctions, psychical disability, and cognitive impairment during MS progression. The exact cascade of pathological processes (inflammation, demyelination, excitotoxicity, diffuse neuro-axonal degeneration, oxidative and metabolic stress, etc.) causing MS onset is still not fully understood, although several accompanying biomarkers are particularly suitable for the detection of early subclinical changes. Magnetic resonance (MR) methods are generally considered to be the most sensitive diagnostic tools. Their advantages include their noninvasive nature and their ability to image tissue in vivo. In particular, MR spectroscopy (proton 1H and phosphorus 31P MRS) is a powerful analytical tool for the detection and analysis of biomedically relevant metabolites, amino acids, and bioelements, and thus for providing information about neuro-axonal degradation, demyelination, reactive gliosis, mitochondrial and neurotransmitter failure, cellular energetic and membrane alternation, and the imbalance of magnesium homeostasis in specific tissues. Furthermore, the MR relaxometry-based detection of accumulated biogenic iron in the brain tissue is useful in disease evaluation. The early description and understanding of the developing pathological process might be critical for establishing clinically effective MS-modifying therapies.

Spinal Cord Involvement in MS and Other Demyelinating Diseases

Diagnostic accuracy is poor in demyelinating myelopathies, and therefore a challenge for neurologists in daily practice, mainly because of the multiple underlying pathophysiologic mechanisms involved in each subtype. A systematic diagnostic approach combining data from the clinical setting and presentation with magnetic resonance imaging (MRI) lesion patterns, cerebrospinal fluid (CSF) findings, and autoantibody markers can help to better distinguish between subtypes. In this review, we describe spinal cord involvement, and summarize clinical findings, MRI and diagnostic characteristics, as well as treatment options and prognostic implications in different demyelinating disorders including: multiple sclerosis (MS), neuromyelitis optica spectrum disorder, acute disseminated encephalomyelitis, anti-myelin oligodendrocyte glycoprotein antibody-associated disease, and glial fibrillary acidic protein IgG-associated disease. Thorough understanding of individual case etiology is crucial, not only to provide valuable prognostic information on whether the disorder is likely to relapse, but also to make therapeutic decision-making easier and reduce treatment failures which may lead to new relapses and long-term disability. Identifying patients with monophasic disease who may only require acute management, symptomatic treatment, and subsequent rehabilitation, rather than immunosuppression, is also important.