Grey:white matter ratio at diagnosis and the risk of 10-year multiple sclerosis progression

Predictors of multiple sclerosis progression: A systematic review of conventional magnetic resonance imaging studies

INTRODUCTION

Multiple Sclerosis (MS) is a chronic neurodegenerative disorder that affects the central nervous system (CNS) and results in progressive clinical disability and cognitive decline. Currently, there are no specific imaging parameters available for the prediction of longitudinal disability in MS patients. Magnetic resonance imaging (MRI) has linked imaging anomalies to clinical and cognitive deficits in MS. In this study, we aimed to evaluate the effectiveness of MRI in predicting disability, clinical progression, and cognitive decline in MS.

METHODS

In this study, according to PRISMA guidelines, we comprehensively searched the Web of Science, PubMed, and Embase databases to identify pertinent articles that employed conventional MRI in the context of Relapsing-Remitting and progressive forms of MS. Following a rigorous screening process, studies that met the predefined inclusion criteria were selected for data extraction and evaluated for potential sources of bias.

RESULTS

A total of 3028 records were retrieved from database searching. After a rigorous screening, 53 records met the criteria and were included in this study. Lesions and alterations in CNS structures like white matter, gray matter, corpus callosum, thalamus, and spinal cord, may be used to anticipate disability progression. Several prognostic factors associated with the progression of MS, including presence of cortical lesions, changes in gray matter volume, whole brain atrophy, the corpus callosum index, alterations in thalamic volume, and lesions or alterations in cross-sectional area of the spinal cord. For cognitive impairment in MS patients, reliable predictors include cortical gray matter volume, brain atrophy, lesion characteristics (T2-lesion load, temporal, frontal, and cerebellar lesions), white matter lesion volume, thalamic volume, and corpus callosum density.

CONCLUSION

This study indicates that MRI can be used to predict the cognitive decline, disability progression, and disease progression in MS patients over time.

Current knowledge on multiple sclerosis pathophysiology, disability progression assessment and treatment options, and the role of autologous hematopoietic stem cell transplantation

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS) that affects nearly 2.8 million people each year. MS distinguishes three main types: relapsing-remitting MS (RRMS), secondary progressive MS (SPMS) and primary progressive MS (PPMS). RRMS is the most common type, with the majority of patients eventually progressing to SPMS, in which neurological development is constant, whereas PPMS is characterized by a progressive course from disease onset. New or additional insights into the role of effector and regulatory cells of the immune and CNS systems, Epstein-Barr virus (EBV) infection, and the microbiome in the pathophysiology of MS have emerged, which may lead to the development of more targeted therapies that can halt or reverse neurodegeneration. Depending on the type and severity of the disease, various disease-modifying therapies (DMTs) are currently used for RRMS/SPMS and PPMS. As a last resort, and especially in highly active RRMS that does not respond to DMTs, autologous hematopoietic stem cell transplantation (AHSCT) is performed and has shown good results in reducing neuroinflammation. Nevertheless, the question of its potential role in preventing disability progression remains open. The aim of this review is to provide a comprehensive update on MS pathophysiology, assessment of MS disability progression and current treatments, and to examine the potential role of AHSCT in preventing disability progression.

Predictive MRI Biomarkers in MS—A Critical Review

Background and Objectives: In this critical review, we explore the potential use of MRI measurements as prognostic biomarkers in multiple sclerosis (MS) patients, for both conventional measurements and more novel techniques such as magnetization transfer, diffusion tensor, and proton spectroscopy MRI. Materials and Methods: All authors individually and comprehensively reviewed each of the aspects listed below in PubMed, Medline, and Google Scholar. Results: There are numerous MRI metrics that have been proven by clinical studies to hold important prognostic value for MS patients, most of which can be readily obtained from standard 1.5T MRI scans. Conclusions: While some of these parameters have passed the test of time and seem to be associated with a reliable predictive power, some are still better interpreted with caution. We hope this will serve as a reminder of how vast a resource we have on our hands in this versatile tool—it is up to us to make use of it.

Patient and neurologist preferences in the UK for relapsing-remitting multiple sclerosis treatments: findings from a discrete choice experiment

OBJECTIVE

To evaluate and compare patient and neurologist preferences for relapsing-remitting multiple sclerosis (RRMS) treatments with respect to benefits and risks associated with common and novel disease-modifying therapies, including brain volume loss (BVL).

METHODS

Patients with non-highly-active RRMS and neurologists in the United Kingdom completed an online cross-sectional survey. Patients completed one discrete choice experiment (DCE) exercise and providers completed two, one focusing on treatment for non-highly-active RRMS and another focused on highly active RRMS. Respondents chose between two treatment profiles that varied on seven attributes identified in qualitative research: 2 year disability progression; 1 year relapse rate; rate of BVL; and risks of gastrointestinal symptoms, flu-like symptoms, infection and life-threatening event. Bayesian modeling was used to estimate attribute-level weighted preferences.

RESULTS

Patients (n = 144) prioritized slowing the rate of BVL, followed by reducing risk of infection, rate of 2 year disability progression and 1 year relapse rate. For non-highly-active patients, neurologists (n = 101) prioritized slowing the rate of BVL, followed by reducing 2 year disability progression, risk of infection and 1 year relapse rate. For highly active patients, neurologists prioritized lowering the 1 year relapse rate, followed by slowing the rate of BVL and 2 year disability progression. In all three DCEs, rate of BVL was approximately twice as important as reducing the risks of flu-like symptoms, gastrointestinal symptoms and life-threatening event.

CONCLUSIONS

This study highlights similarities in treatment preferences for non-highly-active RRMS among patients and neurologists and differences in neurologists' preferences for treating non-highly-active vs. highly active RRMS. This research identifies BVL as a treatment outcome that should be discussed when physicians engage in shared decision-making with patients.

Single-Center 8-Years Clinical Follow-Up of Cladribine-Treated Patients From Phase 2 and 3 Trials

Background: Cladribine is approved for the treatment of highly-active relapsing multiple sclerosis (MS), where it is also effective on disability progression. In the present single-center study, we aim to report on the 8-years clinical follow-up of 27 patients included in phase 2 and 3 clinical trials for cladribine.

Methods: We included patients exposed to cladribine (n = 13) or placebo (n = 14) in ONWARD, CLARITY, and ORACLE-MS trials, and followed-up at the same center after trial termination. Outcomes of long-term disease progression were recorded.

Results: During 8-year follow-up, patients treated with cladribine presented with reduced risk of EDSS progression (HR = 0.148; 95%CI = 0.031, 0.709; p = 0.017), of reaching EDSS 6.0 (HR = 0.115; 95%CI = 0.015, 0.872; p = 0.036), and of SP conversion (HR = 0.010; 95%CI = 0.001, 0.329; p = 0.010), when compared with placebo.

Conclusions: Our exploratory study provides additional evidence that cladribine may be useful to prevent or, at least, mitigate the risk of disability progression after 8 years.

Coenzyme Q10 and neuropsychiatric and neurological disorders: relevance for schizophrenia

Objective: Mitochondrial dysfunction has been implicated in the pathophysiology of schizophrenia and other neuropsychiatric disorders. Though the exact mechanisms and clinical implications for this dysfunction are not fully determined, there is a hypothesis that deficiency in coenzyme Q10 (CoQ10) may contribute to mitochondrial impairments and be reflected in cognitive, affective, and energy disturbances in the disorders. CoQ10 is a critical component of the mitochondrial respiratory chain and an essential free radical scavenger, necessary for mitochondrial function. Here, we review the results of CoQ10 supplementation interventions for adults with various neurological and neuropsychiatric disorders and consider the therapeutic potential of CoQ10 supplementation for schizophrenia in light of these studies. Methods: A literature review of randomised controlled trials and open-label studies investigating the effect of CoQ10 as a single intervention in adults with neurological and neuropsychiatric disorders was conducted. Results: CoQ10 supplementation has some positive effects on fatigue, cognitive impairment and affective difficulties in several neurological and neuropsychiatric conditions with associated mitochondrial dysfunction. Discussion: CoQ10 may be of therapeutic value to schizophrenia given evidence of mitochondrial dysfunction in the disorder.

Neurodegenerative Diseases: Regenerative Mechanisms and Novel Therapeutic Approaches

Regeneration refers to regrowth of tissue in the central nervous system. It includes generation of new neurons, glia, myelin, and synapses, as well as the regaining of essential functions: sensory, motor, emotional and cognitive abilities. Unfortunately, regeneration within the nervous system is very slow compared to other body systems. This relative slowness is attributed to increased vulnerability to irreversible cellular insults and the loss of function due to the very long lifespan of neurons, the stretch of cells and cytoplasm over several dozens of inches throughout the body, insufficiency of the tissue-level waste removal system, and minimal neural cell proliferation/self-renewal capacity. In this context, the current review summarized the most common features of major neurodegenerative disorders; their causes and consequences and proposed novel therapeutic approaches.

The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials

Magnetic resonance imaging has been crucial in the development of anti-inflammatory disease-modifying treatments. The current landscape of multiple sclerosis clinical trials is currently expanding to include testing not only of anti-inflammatory agents, but also neuroprotective, remyelinating, neuromodulating, and restorative therapies. This is especially true of therapies targeting progressive forms of the disease where neurodegeneration is a prominent feature. Imaging techniques of the brain and spinal cord have rapidly evolved in the last decade to permit in vivo characterization of tissue microstructural changes, connectivity, metabolic changes, neuronal loss, glial activity, and demyelination. Advanced magnetic resonance imaging techniques hold significant promise for accelerating the development of different treatment modalities targeting a variety of pathways in MS.