Assessment and Impact of Cognitive Impairment in Multiple Sclerosis: An Overview

The effects of gamma-tACS on cognitive impairment in multiple sclerosis: A randomized, double-blind, sham-controlled, pilot study

BACKGROUND

Multiple sclerosis (MS) often causes impairment in working memory (WM), information processing speed (IPS), and verbal memory (VM). These deficits are linked to disrupted neural oscillatory activity. Transcranial alternating current stimulation (tACS), which modulates cortical oscillations, may hold promise for treating cognitive impairment in MS.

OBJECTIVES

To evaluate online and offline effects of gamma (γ)-tACS on WM, IPS, and VM while assessing changes in brain rhythms using electroencephalography (EEG).

METHODS

Thirty-six MS patients with single-domain impairment in WM (12), IPS (13), or VM (11) underwent γ-tACS and sham-tACS over the left dorsolateral prefrontal cortex (DLPFC) (WM, IPS) or precuneus (VM). Cognitive performance was assessed pre-tACS (T0), during (T1), and post-tACS (T2) using the Digit Span Backward (DSBW) for WM, Symbol Digit Modalities Test (SDMT) for IPS, and Rey Auditory Verbal Learning Test (RAVLT) for VM. EEG was recorded at T0 and T2 to analyze local power spectral density and local-to-global connectivity.

RESULTS

DSBW, SDMT, and RAVLT scores transiently improved during γ-tACS and not during sham. IPS-impaired patients showed a reduction in spectral power across all frequency bands, at the stimulation site, post-DLPFC γ-tACS.

CONCLUSION

γ-tACS briefly improves WM, IPS, and VM in MS patients, warranting further trials of this non-invasive intervention.

The influence of information processing speed on memory processes in patients with relapsing-remitting and primary progressive multiple sclerosis

Slowed information processing speed (IPS) is the primary cognitive impairment in people with multiple sclerosis (pwMS). Although it is known to affect memory processes, the relationships between verbal learning (VL), verbal memory (VM) and IPS in different phenotypes of multiple sclerosis (MS) remain underexplored. This bicentric study aimed to investigate in detail IPS, VL, and VM as well as the relationships between these cognitive domains in a large sample of 92 pwMS (61 with early relapsing-remitting MS (pwRRMS), 31 with primary-progressive MS (pwPPMS)) and 61 age-matched healthy controls (HC). Compared with HC, pwPPMS performed significantly worse on all cognitive measures, whereas pwRRMS performed worse than HC only on IPS and VL. Irrespective of phenotype, IPS impairment emerged as the core cognitive deficit in MS, affecting 25% of the RRMS group and 45% of the PPMS group. PwRRMS outperformed pwPPMS in all domains, with the most pronounced differences observed in VL. Isolated VL or VM impairments were rare, as most pwMS with these deficits also had concurrent IPS impairment. PwPPMS had significantly higher rates of IPS and VL impairment than pwRRMS, but not in VM. Regression analyses showed that IPS significantly predicted both VL and VM performance in both MS groups. In HC, IPS was only associated with VL performance, hinting at different cognitive mechanisms underlying the performance in this domain. This study provides evidence that pwPPMS experience more pronounced cognitive changes in IPS and VL compared to pwRRMS. It also highlights the pervasive impact of IPS on VL and VM performance in both subtypes, underscoring the importance of IPS-focused interventions in the management of MS-related cognitive dysfunction.

Evaluation of Multiple Sclerosis Care and Its Impact on Brain Health: A United Arab Emirates Center Experience

BACKGROUND

Multiple sclerosis is a chronic, complex neurological disease, often presenting with both visible and non-visible symptoms that significantly affect daily functioning. A holistic approach to multiple sclerosis care is essential for patient well-being, particularly in the unique sociocultural context of the United Arab Emirates, where factors such as insurance coverage and specialist availability can present additional challenges.

METHODOLOGY

A retrospective, service-improvement study of 81 individuals with multiple sclerosis was conducted at a specialized center in the United Arab Emirates to evaluate demographics, disease management practices, and support services. Data were extracted from electronic medical records covering the period from January 1, 2022, to January 1, 2024, and assessed against established quality measures, including crucial screening procedures recommended by the American Academy of Neurology's Quality Measurement Set.

RESULTS

Significant gaps were identified in essential multiple sclerosis care, particularly in consultations about employment challenges, sexual dysfunction screening, and cognitive function assessment. Of the 81 participants, 43 (53.09%) were women, and 38 (46.91%) were men, with a mean age of 40.09 years. Analysis of the Expanded Disability Status Scale scores showed no significant association with blood pressure (P=0.1067) or glycemic status (P=0.3891), but a positive correlation with age (P=0.0099).

CONCLUSION

An integrated, multidisciplinary model of multiple sclerosis care is crucial, emphasizing regular assessments of cognitive function, fatigue, sexual health, and work-related issues to optimize patient outcomes and enhance overall brain health in the United Arab Emirates. Additionally, systematic policy interventions that mandate comprehensive screening protocols could further strengthen care delivery. Such measures may foster earlier detection of hidden disabilities and better coordination among diverse healthcare professionals, ultimately improving the quality of life for individuals with multiple sclerosis.

Association of serum levels of inflammation and oxidative stress markers with cognitive outcomes in multiple sclerosis; a systematic review

BACKGROUND

Multiple sclerosis (MS) is an immune-mediated disease with cognitive impairment being a crucial manifestation. Oxidative stress and inflammation play significant roles in the disease's pathogenesis. This systematic review explores the association between inflammation and oxidative stress markers, with cognitive outcomes in MS patients.

METHODS

This study adhered to the Joanna Briggs Institute (JBI) and PRISMA 2020 methods. Eligibility criteria included studies with MS patients, evaluating serum inflammation and/or oxidative stress markers, assessing cognitive function, and examining the relationship between these factors. PubMed, Scopus, Embase, and Web of Science, were searched and the risk of bias was assessed using the JBI checklists.

RESULTS

Out of 1609 identified records, 10 studies were included in this systematic review. The studies were published between 2006 and 2023 and involved 629 MS patients. Current evidence suggests a negative correlation between TNF-α, and cognitive outcomes in MS (reported in three out of five studies). Associations between the decreased native and total thiol levels, as well as interleukin (IL)-17A with cognitive impairment, and the correlation between IL-6 and C-reactive protein (CRP) with cognitive scores in MS are also reported (one study for each). IL-10 (four studies), glutathione peroxidase (GPX), reduced glutathione (GSH), catalase activity (CAT), ischemia-modified albumin (IMA), IL-8, IL-18, and IL-2 (one study for each) did not found to be associated with cognition in MS and evidence regarding the possible role of interferon-gamma (IFN-γ), total antioxidant capacity (TAC), and malondialdehyde (MDA) is not definitive.

DISCUSSION

The review findings suggest a complex association between oxidative stress and inflammation with cognitive outcomes in MS. Diversity in study designs, participant characteristics, and assessment methods makes the findings of this study inconclusive and highlights the need for future research.

A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study

BACKGROUND

Cognitive deterioration is common in multiple sclerosis (MS) and requires regular follow-up. Currently, cognitive status is measured in clinical practice using paper-and-pencil tests, which are both time-consuming and costly. Remote monitoring of cognitive status could offer a solution because previous studies on telemedicine tools have proved its feasibility and acceptance among people with MS. However, existing smartphone-based apps include designs that are prone to motor interference and focus primarily on information processing speed, although memory is also commonly affected.

OBJECTIVE

This study aims to validate a smartphone-based cognitive screening battery, icognition, to detect deterioration in both memory and information processing speed.

METHODS

The icognition screening battery consists of 3 tests: the Symbol Test for information processing speed, the Dot Test for visuospatial short-term memory and learning, and the visual Backward Digit Span (vBDS) for working memory. These tests are based on validated paper-and-pencil tests: the Symbol Digit Modalities Test, the 10/36 Spatial Recall Test, and the auditory Backward Digit Span, respectively. To establish the validity of icognition, 101 people with MS and 82 healthy participants completed all tests. Of the 82 healthy participants, 20 (24%) repeated testing 2 to 3 weeks later. For each icognition test, validity was established by the correlation with its paper-and-pencil equivalent (concurrent validity), the correlation and intraclass correlation coefficient (ICC) between baseline and follow-up testing (test-retest reliability), the difference between people with MS and healthy participants, and the correlation with other clinical parameters such as the Expanded Disability Status Scale.

RESULTS

All icognition tests correlated well with their paper-and-pencil equivalents (Symbol Test: r=0.67; P<.001; Dot Test: r=0.31; P=.002; vBDS: r=0.69; P<.001), negatively correlated with the Expanded Disability Status Scale (Symbol Test: ρ=-0.34; P<.001; Dot Test: ρ=-0.32; P=.003; vBDS: ρ=-0.21; P=.04), and showed moderate test-retest reliability (Symbol Test: ICC=0.74; r=0.85; P<.001; Dot Test: ICC=0.71; r=0.74; P<.001; vBDS: ICC=0.72; r=0.83; P<.001). Test performance was comparable between people with MS and healthy participants for all cognitive tests, both in icognition (Symbol Test: U=4431; P=.42; Dot Test: U=3516; P=.32; vBDS: U=3708; P=.27) and the gold standard paper-and-pencil tests (Symbol Digit Modalities Test: U=4060.5, P=.82; 10/36 Spatial Recall Test: U=3934; P=.74; auditory Backward Digit Span: U=3824.5, P=.37).

CONCLUSIONS

icognition is a valid tool to remotely screen cognitive performance in people with MS. It is planned to be included in a digital health platform that includes volumetric brain analysis and patient-reported outcome measures. Future research should establish the usability and psychometric properties of icognition in a remote setting.

A comparative analysis of depression screening tools in multiple sclerosis: Implications for diagnosis and prevalence

BACKGROUND

The BDI-II is still widely used to assess the importance of depressive symptoms in persons with MS (PwMS), despite recent recommendations to use a reduced and adapted form of this screening tool (BDI-FS).

METHOD

We compared the prevalence of depressive symptoms in 329 PwMS which completed both the BDI-II and the BDI-FS and test the agreement between both screening tools.

RESULTS

The BDI-FS shows a lower overall prevalence of depression but not for severe cases.

CONCLUSION

It is crucial to raise awareness about the potential implications of choosing either of these tools in the context of MS.

Markers of secondary progression in multiple sclerosis

INTRODUCTION

There is no globally accepted definition of Secondary Progressive Multiple Sclerosis (SPMS) or set of unambiguous clinical, radiological, or other criteria that can accurately identify patients who transition to SPMS. Thus, the SPMS diagnosis is almost always a retrospective and frequently delayed process.

OBJECTIVE

The aim of this study was to elucidate the current understanding of phenotypic changes throughout MS course and provide insights into the detection of SPMS from the available literature on this diagnostic landscape.

METHODS

Comprehensive literature review aiming at detecting the transition from RRMS to SPMS. A search for relevant publications was conducted across different databases, scrutinizing studies that investigated tools and biomarkers for an accurate diagnosis of SPMS.

RESULTS

62 studies from the past two decades were included. The EDSS-plus was shown to be more sensitive than the EDSS alone in identifying disability progression. We found some helpful indicators for diagnosing SPMS, including cognitive impairment, particularly on working memory, information processing speed, and verbal fluency; presence of slowly expanding lesions on MRI; thinning of retinal layers on OCT. Also, glial markers as Glial Fibrillary Acidic Protein and Chitinase-3-like protein 1 might be more suitable to identify the conversion to progressive disease than Neurofilament light chain. Certain subjective symptoms seem to be more prevalent in the SPMS phase, although further studies are needed to understand whether patient reported outcomes' measures (PROMs) and which ones could be useful in detecting the transition to a progressive phenotype.

CONCLUSION

Our review highlights the emergence of useful biomarkers in early detection of progression of MS, such as cognitive impairment, MRI, and glial markers. We are getting closer to revolutionising the SPMS diagnosis and clinical management as we get a deeper understanding of these biomarkers.

Biopsychosocial Impact of Multiple Sclerosis in Omani Patients: A Multicenter Comparative Study

Background/Objectives: Multiple sclerosis (MS) is a chronic neurological disorder characterized by various clinical presentations and manifestations that include biopsychosocial impediments. This study has three interrelated goals relevant to biopsychosocial functioning: (i) compare reasoning ability, neuropsychological functioning, affective range, and quality of life (QoL) between people with multiple sclerosis (PwMS) and healthy controls; (ii) explore gender differences in reasoning ability and neuropsychological functioning, affective symptoms, and QoL among PwMS; and (iii) examine the relationship between QoL and cognitive performance in PwMS, focusing on those with inadequate vs. adequate QoL. Methods: This multicenter study was carried out among clinically stable PwMS (no relapse in the last two months) at follow-up in two tertiary care units in urban Oman. Healthy controls, matched for age and sex, were also recruited as a comparison group. Data were collected using cognitive batteries sensitive to current reasoning ability and conventional neuropsychological batteries designed to measure verbal learning, visual-spatial ability, and processing speed. The affective range (anxiety and depressive symptoms) and quality of life (QoL) were also evaluated. Results: The PwMS group scored lower on current reasoning ability, verbal learning, visual-spatial ability, and processing speed compared to the control group. The incidence of anxiety was higher in the PwMS group, but there were no statistically significant differences in depressive symptoms. No significant differences were found in cognitive variables between the two sexes, except in visual-spatial ability, where women outperformed men. PwMS with low QoL scored lower on attention and concentration indices than those with adequate QoL. According to QoL, no significant differences were observed in reasoning, verbal learning, or visual-spatial ability. Conclusions: The present sentinel study suggests that the Omani cohort with MS tends to have lower indices of current reasoning ability, visual and spatial memory, and cognitive speed compared to control subjects. Gender differences are minimal, except for visual-spatial abilities, where women outperform men. Quality of life significantly affects cognitive functioning. In general, the biopsychosocial impediment appears to be significant, indicating the need for comprehensive evaluation and care in the management of MS.

Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review

Multiple sclerosis (MS) is a demyelinating neurological disorder with a highly heterogeneous clinical presentation and course of progression. Disease-modifying therapies are the only available treatment, as there is no known cure for the disease. Careful selection of suitable therapies is necessary, as they can be accompanied by serious risks and adverse effects such as infection. Magnetic resonance imaging (MRI) plays a central role in the diagnosis and management of MS, though MRI lesions have displayed only moderate associations with MS clinical outcomes, known as the clinico-radiological paradox. With the advent of machine learning (ML) in healthcare, the predictive power of MRI can be improved by leveraging both traditional and advanced ML algorithms capable of analyzing increasingly complex patterns within neuroimaging data. The purpose of this review was to examine the application of MRI-based ML for prediction of MS disease progression. Studies were divided into five main categories: predicting the conversion of clinically isolated syndrome to MS, cognitive outcome, EDSS-related disability, motor disability and disease activity. The performance of ML models is discussed along with highlighting the influential MRI-derived biomarkers. Overall, MRI-based ML presents a promising avenue for MS prognosis. However, integration of imaging biomarkers with other multimodal patient data shows great potential for advancing personalized healthcare approaches in MS.

Exploring the relationship between manual dexterity and cognition in people with multiple sclerosis: 9-hole peg and multiple cognitive functions

AIM AND RATIONALE

Problems with manual dexterity and cognition impact the everyday performance of people with multiple sclerosis (PwMS). Accumulated findings point to the relationship between deficits in manual dexterity and auditory domains of cognition with a lack of evidence on visuospatial and verbal aspects of cognitive functioning. Therefore, this study explores the relationship between manual dexterity and cognition in a cohort of PwMS.

METHOD

This cross-sectional study collected data from 63 PwMS aged 22 to 55 through a convenient sampling method. Participants were diagnosed with relapsing-remitting multiple sclerosis (RRMS). Cognition was measured using a multi-domain computerized cognitive testing, NeuroTrax, and manual dexterity was measured using a 9-hole peg assessment. Spearman correlation was used to identify the correlation among cognition subtests as well as with manual dexterity. Linear regression analysis was also conducted to identify whether manual dexterity predicts cognitive functioning.

RESULTS

A significant negative correlation was found between 9-hole peg scores and global cognitive scores (GCS), r = -0.34, p = 006. The manual dexterity scores were also shown to predict GCS, R2= 0.165, p = 0.001.

CONCLUSION

Manual dexterity was found to not only predict cognitive dysfunction but was also associated with multiple cognitive domains. Understanding the relationship between manual dexterity and cognition and the inferred progression of deficits can assist clinicians to provide interventions at earlier stages of disease progression to potentially increase daily functioning and quality of life (QoL).

Konectom™ cognitive processing speed test enables reliable remote, unsupervised cognitive assessment in people with multiple sclerosis: Exploring the use of substitution time as a novel digital outcome measure

BACKGROUND

The Konectom™ smartphone-based cognitive processing speed (CPS) test is designed to assess processing speed and account for impact of visuomotor function on performance.

OBJECTIVE

Evaluate reliability and validity of Konectom CPS Test, performed in clinic and remotely.

METHODS

Data were collected from people with multiple sclerosis (PwMS) aged 18-64 years and healthy control participants (HC) matched for age, sex, and education. Remote test-retest reliability (intraclass correlation coefficients, ICC); correlation with established clinical measures (Spearman correlation coefficients); group analyses between cognitively impaired/unimpaired PwMS; and influence of age, sex, education, and upper limb motor function on CPS Test measures were assessed.

RESULTS

Eighty PwMS and 66 HC participated. CPS Test measures from remote tests had good test-retest reliability (ICC of 0.67-0.87) and correlated with symbol digit modalities test (highest |ρ| = 0.80, p < 0.0001). Remote measures were stable (change from baseline < 5%) and correlated with MS disability (highest |ρ| = 0.39, p = 0.0004) measured by Expanded Disability Status Scale. CPS Test measures displayed sensitivity to cognitive impairment (highest d = 1.47). Demographics and motor function had the lowest impact on CPS Test substitution time, a measure accounting for visuomotor function.

CONCLUSION

Konectom CPS Test measures provide valid, reliable remote measurements of cognitive processing speed in PwMS.

The influence of depression and anxiety on cognition in people with multiple sclerosis: a cross-sectional analysis

There are conflicting findings about the relationships between depression, anxiety, and cognitive dysfunction in people with multiple sclerosis (MS), and a paucity of research has examined the cumulative influence on cognition of depression plus anxiety. This study aimed to determine whether elevated symptoms of depression and anxiety alone or in combination are associated with worse cognition in people with MS. In this cross-sectional analysis, people with MS consecutively seen at a tertiary neuropsychiatry clinic completed the Hospital Anxiety and Depression Scale for symptoms of depression (HADS-D) and anxiety (HADS-A), and the Minimal Assessment of Cognitive Function in MS for cognitive indices. Accounting for covariates, regression models predicted cognitive indices from scores for HADS-D, HADS-A, and the interaction. Of 831 people with MS, 72% were female, mean age was 43.2 years, and median Expanded Disability Status Scale score was 2.0. Depressive symptoms were independently predictive of lower verbal fluency (Controlled Oral Word Association Test, p < 0.01), verbal learning (California Verbal Learning Test-II (CVLT-II) total learning, p = 0.02), verbal delayed recall (CVLT-II delayed recall, p < 0.01), and processing speed (Symbol Digit Modalities Test, p < 0.01; three-second Paced Auditory Serial Addition Test (PASAT), p = 0.05; two-second PASAT, p = 0.01). Anxiety in people with depression predicted decreased visuospatial function (Judgment of Line Orientation, p = 0.05), verbal learning (p < 0.01), verbal delayed recall (p < 0.01), visuospatial recall (Brief Visuospatial Memory Test-Revised, p = 0.02), and executive function (Delis-Kaplan Executive Function System, p < 0.01). Anxiety alone was not independently predictive of cognition. In conclusion, depression, especially with comorbid anxiety, is associated with cognitive dysfunction in people with MS.

Neuropsychology intervention for managing invisible symptoms of MS (NIMIS-MS) group: A pilot effectiveness and acceptability study

BACKGROUND

People with MS (pwMS) commonly experience a range of hidden symptoms, including cognitive impairment, anxiety and depression, fatigue, pain, and sensory difficulties. These "invisible" symptoms can significantly impact wellbeing, relationships, employment and life goals. We developed a novel bespoke online group neuropsychological intervention combining psychoeducation and cognitive rehabilitation with an Acceptance and Commitment Therapy (ACT)-informed approach for pwMS in an acute tertiary hospital. This 'Neuropsychological Intervention for Managing Invisible Symptoms' in MS (NIMIS-MS) consisted of 6 sessions, each with a psychoeducation and ACT component. The content included psychoeducation around managing cognitive difficulties, fatigue, pain, sleep and other unpleasant sensations in MS with the general approach of understanding, monitoring, and recognising patterns and potential triggers. Specific cognitive rehabilitation and fatigue management strategies were introduced. The ACT-informed component focussed on three core ACT areas of the 'Triflex' of psychological flexibility (Harris, 2019): Being Present, Opening Up, and Doing What Matters.

METHODS

118 pwMS attended the NIMIS-MS group intervention which was delivered 14 times in six-week blocks over an 18-month period. To evaluate the effectiveness and acceptability, participants completed measures of depression and anxiety (HADS), functional impairment (WSAS), Values- Progress (VQ) and Values- Obstruction (VQ), and Acceptance of MS (MSAS) pre and post NIMIs-MS group intervention. Qualitative feedback was obtained during focus groups after the final session and via online feedback questionnaires RESULTS: Pre-post analysis showed that symptoms of depression and anxiety were significantly lower and acceptance of MS was significantly higher following completion of the NIMIS-MS group. Qualitative feedback showed that participants reported that they felt more equipped to manage the "invisible" symptoms of MS following completion of the group, and benefited from using ACT-based strategies and techniques. Participants highly valued the peer support that evolved during the NIMIS-MS groups. The online format was considered more accessible than in-person groups, due to less concerns of travel time, cost, fatigue, and comfort and infection.

CONCLUSION

Evaluation suggests that our novel NIMIS-MS groups is an acceptable, beneficial and feasible approach for providing neuropsychological interventions to individuals with MS.

An Online Single-Session Cognitive Behavioral Therapy for Depression and Anxiety Associated with Multiple Sclerosis-Pilot Study

Background: Multiple sclerosis (MS) is one of the most debilitating neurodegenerative diseases in youth, significantly affecting all life domains. Therefore, a strong association between MS, depression and anxiety symptoms has been established. The objective of the present interventional one-group pretest-posttest study is to assess the feasibility of an online single-session intervention (SSI) based on a cognitive behavioral therapy protocol targeting depressive and anxiety symptoms, psychological mechanisms, fatigue and overall health status. Methods: In this pilot study, 31 patients with MS (Mage = 42 years, SD = 12.2) received the online CBT SSI. The impact of the intervention was assessed using validated instruments two weeks after the intervention and after a two-month follow-up period. Results: Statistically significant effects were observed for the reduction of depression, with B = -7.58, 95% CI (-12.84, -2.31) and p < 0.01, and anxiety, with B = -15.17, 95% CI (-18.31, -12.02) and p < 0.001, at post-test and follow-up screening. Additionally, positive outcomes were seen for irrational beliefs at post-test, with B = -25.86, 95% CI (-46.10, -5.61), along with negative automatic thoughts, with B = -4.47, 95% CI (-10.65, 1.71), which were preserved at follow-up. Despite the health status also improving, no significant changes were observed for dysfunctional attitudes and fatigue. Conclusions: This research proves that the online CBT SSI was efficient for decreasing mild to moderate symptoms of depression and anxiety and reducing the intensity of dysfunctional psychological mechanisms in our sample.

Cognitive impairment and its impact on employment: A qualitative interview-based study involving healthcare professionals and people living with multiple sclerosis

BACKGROUND

Cognitive impairment can considerably impact the work life of people who have multiple sclerosis (MS). Cognitive symptoms are associated with an increased likelihood of unemployment, changes in employment and decreased working hours. This qualitative interview-based study aims to gather real-word experiences and perspectives from both people living with MS and healthcare professionals, to explore how cognitive symptoms are experienced in the workplace, how their impact is addressed, and what can be done to support people in managing and minimizing this impact on employment.

METHODS

Semi-structured, one-to-one interviews were conducted with people living with MS who experience cognitive symptoms, and with healthcare professionals working in MS care. Participants were recruited from a healthcare market research agency based in the United States. The data obtained from the interviews were subsequently analysed using a Grounded Theory method, in order to identify the core themes that form the basis of this paper.

RESULTS

A total of 20 participants (n = 10 people living with MS; n = 10 healthcare professionals) from the United States were interviewed. Overall, 9 themes were identified from the raw data, which were grouped into three core themes describing the perspectives and experiences reported by both people living with MS and healthcare professionals: (1) The implications of cognitive symptoms on work; (2) Challenges in addressing cognitive impairment and its impact on work in MS care; (3) Strategies and support for managing the impact of cognitive symptoms.

CONCLUSION

The real-world insights of PwMS and HCPs gained from this qualitative study show that a multi-faceted approach to addressing cognitive impairment and its impact on the employment of PwMS is required. Workplace adjustments can range from self-implemented changes to changes put in place by employers to accommodate the various ways in which cognitive symptoms may impact a person's work. This study provides valuable information on how people living with MS can be affected by cognitive symptoms in the context of their employment; furthermore, that preparing early when possible and maintaining a proactive approach to managing their impacts on work are important for maintaining a good quality of life.

Advanced neuroimaging techniques to explore the effects of motor and cognitive rehabilitation in multiple sclerosis

INTRODUCTION

Progress in magnetic resonance imaging (MRI) technology and analyses is improving our comprehension of multiple sclerosis (MS) pathophysiology. These advancements, which enable the evaluation of atrophy, microstructural tissue abnormalities, and functional plasticity, are broadening our insights into the effectiveness and working mechanisms of motor and cognitive rehabilitative treatments.

AREAS COVERED

This narrative review with selected studies discusses findings derived from the application of advanced MRI techniques to evaluate structural and functional neuroplasticity modifications underlying the effects of motor and cognitive rehabilitative treatments in people with MS (PwMS). Current applications as outcome measure in longitudinal trials and observational studies, their interpretation and possible pitfalls and limitations in their use are covered. Finally, we examine how the use of these techniques could evolve in the future to improve monitoring of motor and cognitive rehabilitative treatments.

EXPERT COMMENTARY

Despite substantial variability in study design and participant characteristics in rehabilitative studies for PwMS, improvements in motor and cognitive functions accompanied by structural and functional brain modifications induced by rehabilitation can be observed. However, significant enhancements to refine rehabilitation strategies are needed. Future studies in this field should strive to implement standardized methodologies regarding MRI acquisition and processing, possibly integrating multimodal measures. This will help identifying relevant markers of treatment response in PwMS, thus improving the use of rehabilitative interventions at individual level. The combination of motor and cognitive strategies, longer periods of treatment, as well as adequate follow-up assessments will contribute to enhance the quality of evidence in support of their routine use.

Verbal and oral apraxia in patients with acute stroke: Frequency, relationship, and some risk factors

Verbal and oral apraxia are two possible consequences of stroke. It seems that there are not sufficient studies regarding the frequency of these disorders. This study aimed to evaluate the frequency of Verbal and oral apraxia. In addition, the relationship between apraxia and some variables such as age, gender, and education, as well as the relationship between types of apraxia with each other, and damaged areas of the brain in apraxia of the oral system in Persian-speaking patients with stroke were studied. In this descriptive-analytical study, 42 patients participated using the convenient sampling method. Verbal and oral apraxia were assessed using the oral and verbal apraxia tasks for adults test. Data were analyzed using independent t-test, Chi-square, and Fisher's exact test. The frequency of patients with oral apraxia was 35.7%, those with verbal apraxia was 2.3%, and the combination of both verbal and oral apraxia was 4.7%. People with apraxia were significantly older than those without apraxia. There was not any significant relationship between apraxia and gender, apraxia and education, and oral apraxia with verbal apraxia (p < 0.05). The present study's findings showed the high frequency of post-stroke apraxia and the high rate of its incidence with age.

Premorbid cognitive functioning influences differences between self-reported cognitive difficulties and cognitive assessment in multiple sclerosis

Cognitive difficulties are reported in up to 60% of people with MS (pwMS). There is often a discrepancy between self-reported cognitive difficulties and performance on cognitive assessments. Some of this discrepancy can be explained by depression and fatigue. Pre-MS cognitive abilities may be another important variable in explaining differences between self-reported and assessed cognitive abilities. PwMS with high estimated premorbid cognitive functioning (ePCF) may notice cognitive difficulties in daily life whilst performing within the average range on cognitive assessments. We hypothesised that, taking into account depression and fatigue, ePCF would predict (1) differences between self-reported and assessed cognitive abilities and (2) performance on cognitive assessments. We explored whether ePCF predicted (3) self-reported cognitive difficulties. Eighty-seven pwMS completed the Test of Premorbid Functioning (TOPF), the Brief International Cognitive Assessment for MS (BICAMS), self-report measures of cognitive difficulty (MS Neuropsychological Questionnaire; MSNQ), fatigue (MS Fatigue Impact Scale; MFIS) and depression (Hospital Anxiety and Depression Scale; HADS). Results revealed that, taking into account covariates, ePCF predicted (1) differences between self-reported and assessed cognitive abilities, p < .001 (model explained 29.35% of variance), and (2) performance on cognitive assessments, p < .001 (model explained 46.00% of variance), but not (3) self-reported cognitive difficulties, p = .545 (model explained 35.10% of variance). These results provide new and unique insights into predictors of the frequently observed discrepancy between self-reported and assessed cognitive abilities for pwMS. These findings have important implications for clinical practice, including the importance of exploring premorbid factors in self-reported experience of cognitive difficulties.

Neuropsychological profiles comparison between Multiple Sclerosis patients and Multiple Sclerosis patients with overlapping features of Systemic Lupus Erythematosus

AIM

Multiple sclerosis (MS) and Systemic Lupus Erythematosus (SLE) are autoimmune disorders that may lead to cognitive impairment. This study aimed to compare the neuropsychological profiles of patients with MS, and MS and coexisting SLE features.

METHODS

We included a total of 90 participants, divided into 3 groups: 30 patients with clinically definite relapsing remitting MS, 30 with coexisting MS and incomplete SLE (overlap group) and 30 healthy controls (HC). All participants underwent neuropsychological assessment with the Montreal Cognitive Assessment (MoCA), Symbol Digit Modalities Test (SDMT), Paced Auditory Serial Addition Test (PASAT), and Selective Reminding Test (SRT).

RESULTS

Both groups scored lower on the MoCA compared to the HC (p < .001). The overlap group showed the lowest performance on the SDMT and PASAT compared to the other two groups (p < .01), while the MS group scored similarly to the HC in the PASAT (p > .05). Regarding the learning rate and long-term recall, the overlap group had lower scores compared to both the MS and HC (p < .001), but it outperformed both groups in the retention efficacy score (p < .001). The MS group did not differ significantly from the HC in these memory domains (p > .05).

CONCLUSION

The overlap group exhibited a broader range of impairments, including slower processing speed, decreased working memory, reduced learning rate, and long-term retrieval deficits. Their retention ability remained intact. The coexistence of MS with SLE pathology had additive impacts on cognitive function.

Multiple sclerosis is associated with differences in semantic memory structure

OBJECTIVE

Although language is often considered to be largely intact in multiple sclerosis (MS), word-finding difficulties are a common complaint. Recent work suggests that declines in language are not solely the result of motoric and cognitive slowing that is most strongly associated with MS. Network science approaches have been effectively used to examine network structure as it relates to clinical conditions, aging, and language. The present study utilizes a network science approach to investigate whether individuals with MS exhibit less interconnected and resilient semantic networks compared to age-matched neurotypical peers.

METHOD

We used semantic fluency data from 89 participants with MS and 88 neurotypical participants to estimate and analyze the semantic network structure for each participant group. Additionally, we conducted a percolation analysis to examine the resilience of each network.

RESULTS

Network measures showed that individuals with MS had lower local and global clustering coefficients, longer average shortest path lengths, and higher modularity values compared to neurotypical peers. Small-worldness, network portrait divergence measures, and community detection analyses were consistent with these results and indicated that macroscopic properties of the two networks differed and that the semantic network for individuals with MS was more fractured than the neurotypical peer network. Moreover, a spreading activation simulation and percolation analysis suggested that the semantic networks of individuals with MS are less flexible and activation degrades faster than those of age-matched neurotypical participants.

CONCLUSIONS

These differing semantic network structures suggest that language retrieval difficulties in MS partially result from decline in language-specific factors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

T1 and T2 weighted lesions and cognition in multiple Sclerosis: A systematic review and meta-analysis

BACKGROUND

Considering the different results regarding the correlation between Magnetic Resonance Imaging (MRI) structural measures and cognitive dysfunction in patients with MS, we aimed to perform a systematic review and meta-analysis study to investigate the correlation between T1 and T2 weighted lesions and cognitive scores to find the most robust MRI markers for cognitive function in MS population.

METHODS

The literature of this paper was identified through a comprehensive search of electronic datasets including PubMed, Scopus, Web of Science, and Embase in February 2022. Studies that reported the correlation between cognitive status and T1 and T2 weighted lesions in MS patients were selected.

RESULTS

21 studies with a total of 3771 MS patients with mean ages ranging from 30 to 57 years were entered into our study. Our analysis revealed that the volume of T1 lesions was significantly correlated with Symbol Digit Modality test (SDMT) (r: -0.30, 95 %CI: -0.59, -0.01) and Paced Auditory Serial-Addition Task (PASAT) scores (r: -0.23, 95 %CI: -0.36, -0.10). We investigated the correlation between T2 lesions and cognitive scores. The pooled estimates of z scores were significant for SDMT (r: -0.27, 95 %CI: -0.51, -0.03) and PASAT (r: -0.27, 95 %CI: -0.41, -0.13).

CONCLUSION

In conclusion, our systematic review and meta-analysis study provides strong evidence of the correlation between T1 and T2 lesions and cognitive function in MS patients. Further research is needed to explore the potential mechanisms underlying this relationship and to develop targeted interventions to improve cognitive outcomes in MS patients.

The relationship between depression and cognitive performance in multiple sclerosis: A meta-analysis

Objective: Studies on the relationship between depression and cognition on patients with multiple sclerosis (MS) are inconsistent and it is not clear whether higher depression levels are associated with impairment of specific cognitive domains or processes. This meta-analytic study aimed at evaluating the possible association between depressive symptomatology and performance on cognitive tests assessing several cognitive domains (global cognition, attention, processing speed, verbal, spatial and working memory, verbal fluency, inhibitory control, set-shifting) in individuals living with MS. Method: The literature search on three electronic databases yielded 5402 studies (4333 after the duplicates removal); after the evaluation of titles, abstracts full-text articles, 37 studies were included in the meta-analytic study. A random-effect model meta-analysis was performed and mean weighted effect sizes (ESs) were calculated using Hedges' g. Results: Small ESs were found for the relationship between depression and verbal memory (g = 0.25, p < 0.001), spatial memory (g = 0.23, p < 0.001), verbal fluency (g = 0.26, p < 0.001), and inhibitory control (g = 0.32, p = 0.003). Medium ESs were found for the relationship between depression and global cognition (g = 0.46, p < 0.001), attention (g = 0.43, p < 0.001), processing speed (g = 0.47, p < 0.001) and working memory (g = 0.38, p = 0.037). The relationship between set-shifting abilities and depression was not significant (g = 0.39, p = 0.095). Conclusions: Results suggest that patients with MS and higher levels of depressive symptomatology may also show more difficulties in several aspects of cognition, especially those needed to retain, respond, and process information in one's environment, and to those needed be adequately stimulated in processing relevant information.

Systematic review of cognitive reserve in multiple sclerosis: Accounting for physical disability, fatigue, depression, and anxiety

BACKGROUND

Cognitive reserve (CR) describes an individual's ability to adapt cognitive processes in response to brain atrophy, and has been reported to explain some of the discrepancy between brain atrophy and cognitive functioning outcomes in multiple sclerosis (MS). CR in MS is typically investigated by assessing an individual's pre- and/or post-diagnosis enrichment, which includes premorbid intellectual abilities, educational level, occupational attainment, and engagement in cognitively enriching leisure activities. Common MS symptoms (e.g., physical disability, fatigue, depression, anxiety) may impact an individual's ability to engage in various CR-enhancing activities post-diagnosis. It is unknown to what extent these MS symptoms have been taken into account in MS research on CR. As such, we identified whether studies assessed CR using measures of premorbid or continuous (including post-diagnosis) enrichment. For studies investigating continuous enrichment, we identified whether studies accounted for MS-impact, which MS symptoms were accounted for, and how, and whether studies acknowledged MS symptoms as potential CR-confounds.

METHODS

Three electronic databases (PsycINFO, PubMed, Scopus) were searched. Eligible studies investigated CR proxies (e.g., estimated premorbid intellectual abilities, vocabulary knowledge, educational level, occupational attainment, cognitively enriching leisure activities, or a combination thereof) in relation to cognitive, brain atrophy or connectivity, or daily functioning outcomes in adult participants with MS. We extracted data on methods and measures used, including any MS symptoms taken into account. Objectives were addressed using frequency analyses and narrative synthesis.

RESULTS

115 studies were included in this review. 47.8% of all studies investigated continuous enrichment. Approximately half of the studies investigating continuous enrichment accounted for potential MS-impact in their analyses, with only 31.0% clearly identifying that they treated MS symptoms as potential confounds for CR-enhancement. A narrative synthesis of studies which investigated CR with and without controlling statistically for MS-impact indicated that accounting for MS symptoms may impact findings concerning the protective nature of CR.

CONCLUSION

Fewer than half of the studies investigating CR proxies in MS involved continuous enrichment. Just over half of these studies accounted for potential MS-impact in their analyses. To achieve a more complete and accurate understanding of CR in MS, future research should investigate both pre-MS and continuous enrichment. In doing so, MS symptoms and their potential impact should be considered. Establishing greater consistency and rigour across CR research in MS will be crucial to produce an evidence base for the development of interventions aimed at improving quality of care and life for pwMS.

What Is the True Impact of Cognitive Impairment for People Living with Multiple Sclerosis? A Commentary of Symposium Discussions at the 2020 European Charcot Foundation

Multiple sclerosis (MS) is a chronic, neurodegenerative, inflammatory condition usually associated with physical disability. Clinical care has been skewed toward the physical manifestations of the disease, yet a range of silent symptoms occurs including the cognitive aspects of MS. In a 2018 meeting of MS in the 21st Century (MS21), an international steering committee comprising both specialists and patient experts recognised that the 'invisible symptoms' of MS pose a significant challenge to patient engagement. These findings prompted the European Charcot Foundation (ECF) MS21 symposium (2020), where a panel consisting of two leading MS clinicians and an MS patient expert (who were all members of the MS21 steering group) gathered to discuss the impact of cognitive impairment on the everyday lives of people with MS.The perspectives and experiences of the panellists are summarised in this paper. The key points raised were that (1) the cognitive manifestations of MS are under-recognised and have consequently been undermanaged from a clinical perspective and (2) cognitive impairment due to MS has a significant impact upon daily living and patient quality of life. During discussions about how these challenges can be addressed, the panel advocated for an improvement in education about cognitive symptoms for people living with MS and healthcare professionals (HCPs) to raise awareness about this aspect of MS. Furthermore, the panel emphasised the importance of open and proactive communication between HCPs and their patients with MS about cognitive symptoms to reduce the stigma attached to these symptoms. In the opinion of the panel, future clinical trials which include cognitive outcomes as key endpoints are needed. Reflecting this point, cognitive impairment in MS care also needs to be treated as an important disease symptom, as is done with physical symptoms of the disease. Implementing early and routine cognition screening and promoting measures for protecting cognition to people living with MS, such as cognitive rehabilitation and a 'brain-healthy' lifestyle, are actions which can drive forward the recognition of cognitive impairment as a care priority.If prioritised as highly as physical disability in both the MS care and clinical drug development setting, and proactively discussed in conversations between HCPs and patients with MS, the 'invisibility' of cognitive impairment in MS can be lifted and a better quality of life can be promoted for people living with MS.

Interventions to Improve Quality of Life in Multiple Sclerosis: New Opportunities and Key Talking Points

Background

Today, living well with multiple sclerosis (MS) is often measured by a person's overall quality of life rather than being limited to the more traditional metrics of reduced frequency of relapses or progression of disability. This change in focus, to a more holistic view of health, such as overall quality of life, has shifted the views of what both providers and people with multiple sclerosis view as essential for living well with MS.

Purpose

This narrative review aims to examine the relevant literature on existing and emerging non-pharmacological interventions shown to improve the quality of life for people with multiple sclerosis across all health domains.

Methods

A literature search was conducted on MEDLINE, CINAHL, and Scopus electronic databases using the following search terms: quality of life, health-related quality of life, life quality, life satisfaction, non-pharmacological intervention, non-drug, and intervention. After screening the abstracts, 24 were selected for this review.

Results

Common non-pharmacological interventions were used for fatigue and sleep, mental and emotional health, cognition, physical health, and chronic pain. Several non-pharmacological interventions included in this review positively improved the overall quality of life for people with multiple sclerosis. These interventions included exercise, cognitive behavior therapy, and cognitive rehabilitation.

Conclusion

Non-pharmacological interventions such as exercise and cognitive behavioral therapy improve the quality of life for people with MS. These interventions should be prescribed more during routine medical care. Translating this research into standard clinical practice should be one area of focus. In addition, higher quality studies, such as randomized control trials, need to be conducted on emerging nonpharmacological interventions to assess effectiveness.

Assessing everyday functional activity in cognitively impaired people with multiple sclerosis: The use of Actual RealityTM

BACKGROUND

There is considerable evidence that persons with multiple sclerosis (PwMS) who experience cognitive impairments (CIs) are at risk of having significant limitations in activities of daily living (ADLs). However, ADL assessment often consists of proxies or self-report of ADLs. This study examined whether the performance of instrumental ADLs (I-ADL) is impaired in PwMS with and without CI.

METHODS

Participants included 72 PwMS and 48 matched healthy controls (HCs). PwMS were divided into MS-CI (n = 25) and MS-not-impaired (n = 47) groups based on the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) scores. All participants performed the Actual RealityTM (AR) test, measuring I-ADL using authentic websites.

RESULTS

The MS-CI performed significantly worse on AR compared with HC and MS-not-impaired. In addition, the MS-not-impaired performed significantly worse than HC on AR. AR differentiates well between PwMS with and without CI.

CONCLUSIONS

While CI in MS results in significant limitations in the performance of I-ADL, PwMS who do not show evidence of CI can have limitations in I-ADL. AR assessment is a valid and reliable tool sensitive to CI. It should be used in addition to traditional cognitive assessments to detect early functional deterioration through the course of MS.

Depressive symptoms, anxiety and cognitive impairment: emerging evidence in multiple sclerosis

Neuropsychiatric abnormalities may be broadly divided in two categories: disorders of mood, affect, and behavior and abnormalities affecting cognition. Among these conditions, clinical depression, anxiety and neurocognitive disorders are the most common in multiple sclerosis (MS), with a substantial impact on patients' quality of life and adherence to treatments. Such manifestations may occur from the earliest phases of the disease but become more frequent in MS patients with a progressive disease course and more severe clinical disability. Although the pathogenesis of these neuropsychiatric manifestations has not been fully defined yet, brain structural and functional abnormalities, consistently observed with magnetic resonance imaging (MRI), together with genetic and immunologic factors, have been suggested to be key players. Even though the detrimental clinical impact of such manifestations in MS patients is a matter of crucial importance, at present, they are often overlooked in the clinical setting. Moreover, the efficacy of pharmacologic and non-pharmacologic approaches for their amelioration has been poorly investigated, with the majority of studies showing marginal or no beneficial effect of different therapeutic approaches, possibly due to the presence of multiple and heterogeneous underlying pathological mechanisms and intrinsic methodological limitations. A better evaluation of these manifestations in the clinical setting and improvements in the understanding of their pathophysiology may offer the potential to develop tools for differentiating these mechanisms in individual patients and ultimately provide a principled basis for treatment selection. This review provides an updated overview regarding the pathophysiology of the most common neuropsychiatric symptoms in MS, the clinical and MRI characteristics that have been associated with mood disorders (i.e., depression and anxiety) and cognitive impairment, and the treatment approaches currently available or under investigation.

Impact of depression on the perception of fatigue and information processing speed in a cohort of multiple sclerosis patients

BACKGROUND

Information processing speed is commonly impaired in people with multiple sclerosis (PwMS). However, depression and fatigue can affect the cognitive profile of patients: fatigue has a negative impact from the disease's earliest stage and a reduced information processing speed is often associated with higher levels of depression. Therefore, the aim of this study was to investigate the correlations between information processing speed and physical fatigue in a cohort of Italian PwMS from a single center, considering the effect of depression.

METHODS

Two hundred (W = 128; mean age = 39.83 years; SD = 11.86) PwMS, from the Bari University Hospital, underwent testing for processing speed (Symbol Digit Modalities Test [SDMT]), fatigue level (Fatigue Severity Scale [FSS]), and depression (Beck's Depression Inventory [BDI]).

RESULTS

Statistically significant correlations emerged between SDMT and FSS, SDMT and BDI, FSS and BDI. Mediation analyses revealed that while physical fatigue had no significant direct negative effect on information processing speed (z=-0.891; p > 0.05), depression predicted the relationship between fatigue and information processing speed (z=-2.181; p < 0.05).

CONCLUSION

Our findings showed that cognitive performance at SDMT was not affected by patients' perceived level of physical fatigue, but by depression. The presence of a high BDI score mediates the physical fatigue on cognitive performance impact.

The impact of disease modifying therapies on cognitive functions typically impaired in multiple sclerosis patients: a clinician's review

Objective

Over the last few decades clinicians have become aware that cognitive impairment might be a major cause of disability, loss of employment and poor quality of life in patients suffering from multiple sclerosis [MS].The impact of disease modifying therapies [DMTs] on cognition is still a matter of debate. Theoretically, DMTs could exert a substantial beneficial effect by means of reducing neuroinflammation and brain atrophy, which are established correlates of cognitive dysfunction. The aim of the study was to review the evidence concerning the effect of DMTs on cognitive functions.

Methods

PubMed, Scopus, and the European Committee for Treatment and Research in Multiple Sclerosis [ECTRIMS] Library were searched for articles concerning the pediatric and adult populations of patients with multiple sclerosis, including clinical trials and RWD, where psychometric results were analyzed as secondary or exploratory endpoints.

Results

We reviewed a total of 44 studies that were found by our search strategy, analyzed the psychological tests that were applied, the length of the follow-up, and possible limitations. We pointed out the difficulties associated with assessing of DMTs' effects on cognitive functions, and pitfalls in cognitive tools used for evaluating of MS patients.

Conclusion

There is a need to highlight this aspect of MS therapies, and to collect adequate data to make informed therapeutic decisions, to improve our understanding of MS-related cognitive dysfunction and provide new therapeutic targets.

The Efficacy of Spinal Cord Stimulators in the Reduction of Multiple Sclerosis Spasticity: A Narrative Systematic Review

A systematic review was employed utilizing Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, to analyze all primary clinical data on the efficacy of spinal cord stimulation (SCS) in the treatment of multiple sclerosis (MS) induced spasticity. Databases include: Embase, PubMed, Scopus, Cochrane, and Web of Science. The review included case series, case studies, and clinical trials. Outcomes of interest were spasticity reduction. Grading of Recommendations Assessment, Development and Evaluation criteria was utilized to grade the certainty of evidence. Five hundred thirty-two articles were retrieved following database systematic review. One hundred eighty-eight articles were removed as duplicates utilizing the "Detect Duplicates" function on Rayyan.ai. A further 344 articles were excluded following abstract and title appraisal. As a result, 16 articles were subjected to full text appraisal. The dates of publication ranged from 1973 to 2019. Although a unique modality, there is not enough evidence to support the employment of SCS over current medical standard of care. Further high-quality randomized control trials are required to elucidate SCS's role in MS induced spasticity algorithm.

Cognitive impairment in multiple sclerosis: "classic" knowledge and recent acquisitions

Multiple sclerosis (MS) is a central nervous system (CNS) disease characterized by inflammation, axonal demyelination, and neurodegeneration, which can have a strong impact on all aspects of the life of the patient. Multiple sclerosis causes motor, sensory, cerebellar, and autonomic dysfunctions, as well as cognitive and psychoemotional impairment. The most frequently compromised cognitive domains are complex attention/information processing, memory, executive and visuospatial functions. Recently, alterations have also been evidenced in complex cognitive functions, such as social cognition, moral judgment, and decision-making. Cognitive impairment is characterized by high variability and can affect work skills, social interactions, coping strategies and more generally the quality of life of patients and their families. With the use of sensitive and easy-to-administer test batteries, an increasingly accurate and early diagnosis is feasible: this allows to determine the effectiveness of possible preventive measures, to predict the future progression of the disease and to improve the quality of life of patients. There is currently limited evidence regarding the efficacy, on cognitive impairment, of disease-modifying therapies. The most promising approach, which has received strong empirical support, is cognitive rehabilitation.

Association between cognitive impairment and motor dysfunction among patients with multiple sclerosis: a cross-sectional study

BACKGROUND

Previous studies have shown that there is a relationship between cognitive impairment (CI) and motor dysfunction (MD) in neurological diseases, such as Alzheimer's and Parkinson's disease. However, there whether CI and MD are associated in patients with multiple sclerosis (MS) is unknown. Here we studied the association between CI and MD in patients with MS and examined if muscle weakness or incoordination, balance impairment, gait abnormalities, and/or increased fall risk are indicators of CI in patients with MS.

METHODS

Seventy patients with MS were included in this cross-sectional study. Cognitive impairment was assessed using the Montreal Cognitive Assessment Scale (MoCA), muscle strength using a hand-held dynamometer, and balance, gait, and fall risk assessment using the Tinetti scale. Motor coordination was assessed using the timed rapid alternating movement test for the upper extremity and the timed alternate heel-to-knee test for the lower extremity.

RESULTS

There was a significant association between CI and motor coordination, balance, gait, and risk of fall (p < 0.005) but not muscle strength. Stepwise multiple linear regression showed that 22.7% of the variance in the MoCA was predicted by the fall risk and incoordination of the upper extremities in the MS population.

CONCLUSIONS

CI is significantly associated with motor incoordination, balance impairment, gait abnormality, and increased fall risk. Furthermore, the risk of fall and upper extremity incoordination appeared to be best indicators of CI in patients with MS.

Consensus for the Early Identification of Secondary Progressive Multiple Sclerosis in Portugal: a Delphi Panel

INTRODUCTION

Multiple sclerosis is a disease with a heterogeneous evolution. The early identification of secondary progressive multiple sclerosis is a clinical challenge, which would benefit from the definition of biomarkers and diagnostic tools applicable in the transition phase from relapsing-remitting multiple sclerosis to secondary progressive multiple sclerosis. We aimed to reach a Portuguese national consensus on the monitoring of patients with multiple sclerosis and on the more relevant clinical variables for the early identification of its progression.

MATERIAL AND METHODS

A Delphi panel which included eleven Portuguese Neurologists participated in two rounds of questions between July and August of 2021. In the first round, 39 questions which belonged to the functional, cognitive, imaging, biomarkers and additional evaluations were included. Questions for which no consensus was obtained in the first round (less than 80% of agreement), were appraised by the panel during the second round.

RESULTS

The response rate was 100% in both rounds and consensus was reached for a total of 33 questions (84.6%). Consensus was reached for monitoring time, evaluation scales and clinical variables such as the degree of brain atrophy and mobility reduction, changes suggestive of secondary progressive multiple sclerosis. Additionally, digital devices were considered tools with potential to identify disease progression. Most questions for which no consensus was obtained referred to the cognitive assessment and the remaining referred to both functional and imaging domains.

CONCLUSION

Consensus was obtained for the determination of the monitorization interval and for most of the clinical variables. Most questions that did not reach consensus were related with the confirmation of progression taking into account only one test/domain, reinforcing the multifactorial nature of multiple sclerosis.

Leukocyte Telomere Length Predicts Severe Disability in Relapsing-Remitting Multiple Sclerosis and Correlates with Mitochondrial DNA Copy Number

Multiple sclerosis (MS) is a chronic autoimmune inflammatory disease that affects the nervous system. Peripheral blood leukocyte telomere length (LTL) and mitochondrial DNA copy number (mtDNA-CN) are potential biomarkers of neurological disability and neural damage. Our objective was to assess the LTL and mtDNA-CN in relapsing-remitting MS (RRMS). We included 10 healthy controls, 75 patients with RRMS, 50 of whom had an Expanded Disability Status Scale (EDSS) from 0 to 3 (mild to moderate disability), and 25 had an EDSS of 3.5 to 7 (severe disability). We use the Real-Time Polymerase Chain Reaction (qPCR) technique to quantify absolute LTL and absolute mtDNA-CN. ANOVA test show differences between healthy control vs. severe disability RRMS and mild-moderate RRMS vs. severe disability RRMS (p = 0.0130). LTL and mtDNA-CN showed a linear correlation in mild-moderate disability RRMS (r = 0.378, p = 0.007). Furthermore, we analyzed LTL between RRMS groups with a ROC curve, and LTL can predict severe disability (AUC = 0.702, p = 0.0018, cut-off < 3.0875 Kb, sensitivity = 75%, specificity = 62%), whereas the prediction is improved with a logistic regression model including LTL plus age (AUC = 0.762, p = 0.0001, sensitivity = 79.17%, specificity = 80%). These results show that LTL is a biomarker of disability in RRMS and is correlated with mtDNA-CN in mild-moderate RRMS patients.

TRACking health behaviors in people with Multiple Sclerosis (TRAC-MS): Study protocol and description of the study sample

Introduction

People with multiple sclerosis (PwMS) experience a range of physical, cognitive, and affective symptoms. Behavioral interventions targeting increased physical activity show promising support as low-cost methods to improve working memory, episodic memory, and processing speed in PwMS. In this randomized controlled trial, we will examine the efficacy of a pedometer-tracking intervention, designed to increase low-to-moderate levels of physical activity, for improving working memory in PwMS.

Methods and Analysis

Eighty-seven PwMS, between the ages of 30-59, have been recruited for the study. Seventy-five of the eligible and interested individuals were randomized to six-month health behavior monitoring groups: a Step-track group or a Water-track group (serving as the active control). Neuropsychological measures, assessing the primary outcome of the study, were administered at pre, midpoint, and post-intervention. Exploratory factor analysis of neuropsychological measures resulted in three factors: a working memory/processing speed factor, a visual episodic memory factor, and a verbal episodic memory factor. Changes in this latent measure of working memory/processing speed is the primary outcome of the current study. Functional MRI data will be analyzed to examine changes in the functional connectivity of the neural network supporting working memory.

Ethics and dissemination

The institutional review board granted approval for the study and all participants provided written informed consent. The results of this study will provide support showing that step-tracking increases overall levels of physical activity, improves working memory and processing speed, and strengthens the neural circuitry that supports better cognition. Evidence from this study will thus offer promising support for the routine use of step-tracking devices to improve cognitive functioning in PwMS. Study results will be disseminated through peer-reviewed publications and presentations at scientific conferences.

Identification of cognitive impairment, depression, and fatigue among multiple sclerosis patients in a large comprehensive care center: A mixed-methods, qualitative study

BACKGROUND

Despite studies suggesting a high prevalence of cognitive impairment, depression, and fatigue (CDF) among patients with multiple sclerosis (MS), standardized CDF tools are used infrequently in clinical practice, potentially resulting in underdiagnosis. We documented the use of standardized tools to identify CDF in MS and sought to understand provider attitudes toward the tools and their use.

METHODS

This mixed-methods study analyzed electronic health records (EHRs) from a large US urban MS center to determine the frequency and types of CDF screenings and numbers of MS treatment encounters (January 2018-December 2019). Participants included neurologists and nurse practitioners with ≥30 eligible patients and a convenience sample of adult MS patients (≥18 years) with at least outpatient encounters during the study period. Semistructured provider interviews (n = 6; the principal investigator and 1 provider were excluded) were conducted, transcribed, coded, and analyzed to characterize screening patterns. Assessments included proportions of encounters and patients who had standardized CDF screenings, positive screening results, and documentation of a treatment recommendation, as well as provider attitudes toward tools and reported barriers and facilitators for use. Bivariate analysis was used to evaluate the relationship between screening rates and patient and provider covariates for groups with sufficient sample size (n = 30).

RESULTS

The final population included 260 unique patients, 489 outpatient encounters, and 8 providers. Of 260 patients (75% female, 83% aged <65 years), 24% (n = 63) were screened with a depression tool. Only 2% (n = 4) were screened with a tool measuring cognitive impairment, and none were screened with a tool measuring fatigue. Screening rates varied little by provider type. Higher depression screening rates were associated with white race (difference: 13.2%; 95% CI: 2.8-23.5%; P = .01), ≤2 visits during the study period (difference: 7.6%; 95% CI: 0.6-14.5%; P = .03), and provider experience >10 years (difference: 14.6%; 95% CI: 3.5-25.8%; P = .01). Lack of support staff and perception of limited treatment options were commonly cited barriers to standardized screening in provider interviews. The higher rate of depression screening is likely driven by institutional culture and priorities.

CONCLUSION

Providers recognize the importance of CDF to patients, despite infrequent use of standardized screening. Integrating screening into institutional practices may enable ongoing tracking of assessment scores and provide a more comprehensive and longitudinal picture of symptom progression.

Neurorehabilitation in Multiple Sclerosis-A Review of Present Approaches and Future Considerations

Multiple sclerosis is an increasingly prevalent disease, representing the leading cause of non-traumatic neurological disease in Europe and North America. The most common symptoms include gait deficits, balance and coordination impairments, fatigue, spasticity, dysphagia and an overactive bladder. Neurorehabilitation therapeutic approaches aim to alleviate symptoms and improve the quality of life through promoting positive immunological transformations and neuroplasticity. The purpose of this study is to evaluate the current treatments for the most debilitating symptoms in multiple sclerosis, identify areas for future improvement, and provide a reference guide for practitioners in the field. It analyzes the most cited procedures currently in use for the management of a number of symptoms affecting the majority of patients with multiple sclerosis, from different training routines to cognitive rehabilitation and therapies using physical agents, such as electrostimulation, hydrotherapy, cryotherapy and electromagnetic fields. Furthermore, it investigates the quality of evidence for the aforementioned therapies and the different tests applied in practice to assess their utility. Lastly, the study looks at potential future candidates for the treatment and evaluation of patients with multiple sclerosis and the supposed benefits they could bring in clinical settings.

The TRACK-MS Test Battery: A Very Brief Tool to Track Multiple Sclerosis-Related Cognitive Impairment

Tracking cognition in patients with multiple sclerosis (MS) is important for detection of disease progression but it is often not performed in routine settings due to time constraints. This exploratory cohort study aims to develop a very brief repeatable tracking tool with comparable test quality criteria to the current gold standard, the Brief International Cognitive Assessment for MS (BICAMS). The study included 88 participants (22 healthy controls, 66 MS patients) who were examined at baseline and at one-year follow-up. As a validity criterion for the six administered cognitive tests, we assessed the difference between MS patients and HC, and the correlation with MS-related disability. Combining the two tests with the highest validity-the Controlled Oral Word Association Test and Symbol Digit Modalities Test-yielded an administration time of 5 min. Comparing this new TRACK-MS test battery with the 15 min BICAMS indicated that TRACK-MS showed larger differences between MS patients and healthy controls, a higher correlation with MS-related disability, smaller practice effects, and a good test-retest reliability. We provide evidence that TRACK-MS, although faster to administer, showed at least comparable quality criteria as the BICAMS. As the study was exploratory, replication of these results is necessary.

Susceptibility networks reveal independent patterns of brain iron abnormalities in multiple sclerosis

Brain iron homeostasis is necessary for healthy brain function. MRI and histological studies have shown altered brain iron levels in the brains of patients with multiple sclerosis (MS), particularly in the deep gray matter (DGM). Previous studies were able to only partially separate iron-modifying effects because of incomplete knowledge of iron-modifying processes and influencing factors. It is therefore unclear to what extent and at which stages of the disease different processes contribute to brain iron changes. We postulate that spatially covarying magnetic susceptibility networks determined with Independent Component Analysis (ICA) reflect, and allow for the study of, independent processes regulating iron levels. We applied ICA to quantitative susceptibility maps for 170 individuals aged 9-81 years without neurological disease ("Healthy Aging" (HA) cohort), and for a cohort of 120 patients with MS and 120 age- and sex-matched healthy controls (HC; together the "MS/HC" cohort). Two DGM-associated "susceptibility networks" identified in the HA cohort (the Dorsal Striatum and Globus Pallidus Interna Networks) were highly internally reproducible (i.e. "robust") across multiple ICA repetitions on cohort subsets. DGM areas overlapping both robust networks had higher susceptibility levels than DGM areas overlapping only a single robust network, suggesting that these networks were caused by independent processes of increasing iron concentration. Because MS is thought to accelerate brain aging, we hypothesized that associations between age and the two robust DGM-associated networks would be enhanced in patients with MS. However, only one of these networks was altered in patients with MS, and it had a null age association in patients with MS rather than a stronger association. Further analysis of the MS/HC cohort revealed three additional disease-related networks (the Pulvinar, Mesencephalon, and Caudate Networks) that were differentially altered between patients with MS and HCs and between MS subtypes. Exploratory regression analyses of the disease-related networks revealed differential associations with disease duration and T2 lesion volume. Finally, analysis of ROI-based disease effects in the MS/HC cohort revealed an effect of disease status only in the putamen ROI and exploratory regression analysis did not show associations between the caudate and pulvinar ROIs and disease duration or T2 lesion volume, showing the ICA-based approach was more sensitive to disease effects. These results suggest that the ICA network framework increases sensitivity for studying patterns of brain iron change, opening a new avenue for understanding brain iron physiology under normal and disease conditions.

Perceived facilitators, needs, and barriers to health related quality of life in people with multiple sclerosis: a qualitative investigation

Background

Multiple sclerosis (MS) is a chronic progressive neurological disease that influences an individual's physical, mental, emotional, and social functioning, otherwise known as health-related quality of life (HRQOL). To fully capture the impacts of MS on HRQOL, perspectives from the lived experience should be investigated.

Objective

The purpose of this study was to describe, in people with relapsing–remitting multiple sclerosis (RRMS), (1) the health and wellness needs and facilitators perceived to influence HRQOL, (2) determine which health needs are not being met, and (3) identify barriers to meeting health and wellness needs.

Methods

Participants with RRMS were recruited from a more extensive study for this cross-sectional, qualitative investigation guided by phenomenological theory. Semi-structured interviews were conducted until data saturation was reached (n = 15). The data were analyzed using a thematic analysis approach.

Results

Five themes emerged as facilitators of HRQOL; mental/emotional health, knowledge about MS, family/peer support, lifestyle behaviors, and social engagement. Identified barriers to achieving better HRQOL included limited access to specialized care, lack of communication/ empathy from providers, lack of comprehensive care, challenges caused by MS symptoms, and difficulty navigating the healthcare and insurance landscape.

Conclusions

Study participants described mental health and lifestyle behaviors as the primary promoters of overall HRQOL. Access to dietary guidelines, exercise instruction, and education about living healthy with MS were also identified as positive contributors to overall QOL. When these positive contributors are limited or absent, HRQOL was reported to decrease.

Employing Connectome-Based Models to Predict Working Memory in Multiple Sclerosis

Introduction: Individuals with multiple sclerosis (MS) are vulnerable to deficits in working memory (WM), but the search for neural correlates of WM within circumscribed areas has been inconclusive. Given the widespread neural alterations observed in MS, predictive modeling approaches that capitalize on whole-brain connectivity may better capture individual differences in WM. Materials and Methods: We applied connectome-based predictive modeling to functional magnetic resonance imaging data from WM tasks in two independent samples with relapsing-remitting MS. In the internal sample (n_internal = 36), cross-validation was used to train a model to predict accuracy on the Paced Visual Serial Addition Test from functional connectivity. We hypothesized that this MS-specific model would successfully predict performance on the N-back task in the validation cohort (n_validation = 36). In addition, we assessed the generalizability of existing WM networks derived in healthy young adults to these samples, and we explored anatomical differences between the healthy and MS networks. Results: We successfully derived an MS-specific predictive model of WM in the internal sample (full: r_s = 0.47, permuted p = 0.011), but the predictions were not significant in the validation cohort (r_s = -0.047; p = 0.78, mean squared error [MSE] = 0.006, R² = -2.21%). In contrast, the healthy networks successfully predicted WM in both MS samples (internal: r_s = 0.33 p = 0.049, MSE = 0.009, R² = 13.4%; validation cohort: r_s = 0.46, p = 0.005, MSE = 0.005, R² = 16.9%), demonstrating their translational potential. Discussion: Functional networks identified in a large sample of healthy individuals predicted significant variance in WM in MS. Networks derived in small samples of people with MS may have limited generalizability, potentially due to disease-related heterogeneity. The robustness of models derived in large clinical samples warrants further investigation. ClinicalTrials.gov ID: NCT03244696.

Brain age as a surrogate marker for cognitive performance in multiple sclerosis

Background and purpose

Data from neuro‐imaging techniques allow us to estimate a brain's age. Brain age is easily interpretable as ‘how old the brain looks’ and could therefore be an attractive communication tool for brain health in clinical practice. This study aimed to investigate its clinical utility by investigating the relationship between brain age and cognitive performance in multiple sclerosis (MS).

Methods

A linear regression model was trained to predict age from brain magnetic resonance imaging volumetric features and sex in a healthy control dataset (HC_train, n = 1673). This model was used to predict brain age in two test sets: HC_test (n = 50) and MS_test (n = 201). Brain‐predicted age difference (BPAD) was calculated as BPAD = brain age minus chronological age. Cognitive performance was assessed by the Symbol Digit Modalities Test (SDMT).

Results

Brain age was significantly related to SDMT scores in the MS_test dataset (r = −0.46, p < 0.001) and contributed uniquely to variance in SDMT beyond chronological age, reflected by a significant correlation between BPAD and SDMT (r = −0.24, p < 0.001) and a significant weight (−0.25, p = 0.002) in a multivariate regression equation with age.

Conclusions

Brain age is a candidate biomarker for cognitive dysfunction in MS and an easy to grasp metric for brain health.

Health-Related Quality of Life in people with Multiple Sclerosis: How does this Population Compare to Population-based Norms in Different Health Domains?

PURPOSE

The purposes of this investigation were to (1) identify the domains of health-related quality of life most impacted in people with RRMS, (2) compare the health-related QOL in people with RRMS to general population norms, and (3) to describe subgroups within the RRMS population that have similar health and wellness needs.

METHODS

This was a cross-sectional QOL investigation of adults with RRMS. The SF-36v2 survey and demographic information were collected electronically via Qualtrics. Participants (n = 120) were recruited through social media and the National Multiple Sclerosis Society of the United States. One-sample Z-tests were completed for all subscales, and component mean scores to determine if a difference between the sample and population norms existed.

RESULTS

All values of z were statistically significant, p < .01, for all subscale and composite scores. Social function, physical function, and the mental health component scores had the lowest subscale means. A first stage depression screen revealed that 49% of the surveyed population were at risk for depression, compared to 18% in the general population. Further dividing the sample into years since MS diagnosis, the recently diagnosed group had 61% at risk for depression.

CONCLUSIONS

Challenges related to the mental health of individuals with RRMS are influencing overall health-related QOL. Early on in the disease course (0-3 years), mental health affected QOL more than physical health. More attention must be given to the nonphysical domains of health to advance the QOL for people with RRMS.

ApoE4-positive multiple sclerosis patients are more likely to have cognitive impairment: a cross-sectional study

BACKGROUND

Multiple sclerosis (MS) presents with a wide variety of symptoms, including cognitive dysfunction. Previous studies in terms of the possible function of the ApoE4 allele as a risk factor for cognitive dysfunction in MS patients were associated with conflicting results. The role of the ε4 isoform of apolipoprotein (ApoE4) was investigated in this study as a risk factor for cognitive dysfunction in MS patients.

METHODS

Mildly disabled relapsing-remitting MS (RRMS) patients were involved in this study. The neurocognitive assessment is conducted by the Minimal Assessment of Cognitive Function in MS (MACFIMS) battery. After determining the genotype, patients were divided into two groups of ApoE4-positive and ApoE4-negative groups, and cognitive findings were compared.

RESULTS

Seventy-one patients with a mean age of 31.43 ± 8.75 were involved in this study. Eleven out of 17 (64.70%) patients in the ApoE4-positive group had at least one impaired test, while this rate was 16 out of 54 (29.62%) in the ApoE4-negative group (p < 0.01). The rate of overall cognitive impairment (failure in ≥ 2 tests) was not statistically different between groups of the study (p = 0.75). Impairment in Paced Auditory Serial Addition Test (PASAT) task and also the mean score of Brief Visuospatial Memory Test-Revised (BVMT-R) tests were different between two groups (p = 0.01 and 0.02, respectively).

CONCLUSION

MS ApoE4-positive patients are more likely to have at least one impaired cognitive test, but there is a need for more studies with larger sample sizes and based on MS-specific cognitive tests to confirm these findings.

Low‑field magnetic stimulation improved cuprizone‑induced depression‑like symptoms and demyelination in female mice

Depression is a common and disabling comorbidity of multiple sclerosis (MS), with currently no clear guidelines for treatment. Low-field magnetic stimulation (LFMS), a novel non-invasive neuromodulation intervention, has been previously demonstrated to rapidly alleviate mood disorders. The aim of the present study was to investigate the effects of LFMS on depression-like behaviors and demyelination in a well-established mouse model of MS. C57BL/6 female mice were fed a 0.2% cuprizone (CPZ) diet for 3 or 6 weeks to induce acute demyelination. During this time, the mice were treated with either sham or LFMS for 20 min/day, 5 days/week. After 3 or 6 weeks of treatment, behavior was assessed with the open field task, Y-maze and the forced swim test. The prefrontal cortex and hippocampus were then collected to perform immunohistochemistry and western blot analysis to verify myelination status. The CPZ diet did not cause significant locomotor deficits; however, working memory, measured using the Y maze, depression-like behavior and adaptive learning, assayed using the forced swim test, were significantly impaired in these animals. LFMS treatment demonstrated a significant antidepressant-like effect and markedly attenuated the CPZ-induced demyelination in the prefrontal cortex after 3- and 6-weeks of treatment, as observed by changes in myelin basic protein immunostaining and western blot analysis. Therefore, the results of the present study indicated that LFMS may be a promising therapy for demyelinating diseases due to the improvement of depressive symptoms via regulation of myelination in cortical areas.

Assessment and Management of Cognitive and Psychosocial Difficulties for People with Multiple Sclerosis in Ireland: A National Survey of Clinical Practice

BACKGROUND

A recent survey of 109 healthcare professionals explored how UK healthcare professionals typically assess and treat multiple sclerosis (MS)-related cognitive impairment. Little is currently known about what constitutes usual care for cognitive impairment and psychosocial care for people with MS in Ireland.

AIM

The aim of the current research was to survey healthcare professionals (HCPs) who work with people with MS, to understand current assessment and management of cognition and psychosocial care in people with MS in the Republic of Ireland.

METHODS

A cross-sectional survey design was used. Data were collected online through Microsoft forms and through postal responses. The original UK questionnaire was adapted, piloted, and distributed to Irish HCPs. Participants were qualified HCPs who work clinically with people with MS in the Republic of Ireland.

RESULTS

Ninety-eight HCPs completed the survey. Only 34% of those surveyed reported routine screening of cognition for people with MS within their services; approximately, 36% HCPs reported that they did not provide information or services in relation to cognition to people with MS and 39% reported not referring elsewhere when cognitive difficulties were suspected. Out of the 98 HCPs, 47% reported assessing mood difficulties as part of their services, with 14% unsure. In total, 70% of participants reported onward referral took place if mood difficulties were identified. The Montreal Cognitive Assessment was the most commonly administrated cognitive assessment. Cognitive intervention choices were found to be guided by clinical judgement in 75.5% of cases. Discussion. Despite the high importance placed on cognitive and psychosocial care, there is very little consistency in treatment and assessment across services for people with MS in Ireland.

“What Is Hidden behind the Mask?” Facial Emotion Recognition at the Time of COVID-19 Pandemic in Cognitively Normal Multiple Sclerosis Patients

Social cognition deficits have been described in people with multiple sclerosis (PwMS), even in absence of a global cognitive impairment, affecting predominantly the ability to adequately process emotions from human faces. The COVID-19 pandemic has forced people to wear face masks that might interfere with facial emotion recognition. Therefore, in the present study, we aimed at investigating the ability of emotion recognition in PwMS from faces wearing masks. We enrolled a total of 42 cognitively normal relapsing–remitting PwMS and a matched group of 20 healthy controls (HCs). Participants underwent a facial emotion recognition task in which they had to recognize from faces wearing or not surgical masks which of the six basic emotions (happiness, anger, fear, sadness, surprise, disgust) was presented. Results showed that face masks negatively affected emotion recognition in all participants (p < 0.001); in particular, PwMS showed a global worse accuracy than HCs (p = 0.005), mainly driven by the “no masked” (p = 0.021) than the “masked” (p = 0.064) condition. Considering individual emotions, PwMS showed a selective impairment in the recognition of fear, compared with HCs, in both the conditions investigated (“masked”: p = 0.023; “no masked”: p = 0.016). Face masks affected negatively also response times (p < 0.001); in particular, PwMS were globally hastier than HCs (p = 0.024), especially in the “masked” condition (p = 0.013). Furthermore, a detailed characterization of the performance of PwMS and HCs in terms of accuracy and response speed was proposed. Results from the present study showed the effect of face masks on the ability to process facial emotions in PwMS, compared with HCs. Healthcare professionals working with PwMS at the time of the COVID-19 outbreak should take into consideration this effect in their clinical practice. Implications in the everyday life of PwMS are also discussed.

Polymorphisms CYP2R1 rs10766197 and CYP27B1 rs10877012 in Multiple Sclerosis: A Case-Control Study

BACKGROUND

Multiple sclerosis (MS) is a chronic autoimmune inflammatory disease. Low vitamin D levels have been reported to be a risk factor for MS, and genetic variances could be implicated. The aim of this study was to evaluate the association of MS with rs10766197 polymorphism of CYP2R1 gene and rs10877012 polymorphism of CYP27B1 gene. The second aim was to analyse whether these polymorphisms are associated with the severity of the progression of MS. Material and Methods. In a case-control study, we included 116 MS patients and 226 controls, all of whom were Mexican Mestizo. MS was diagnosed by McDonald criteria (2017). A complete neurological evaluation was performed to evaluate the severity of disease progression. Serum 25-hydroxyvitamin D [25(OH) vitamin D] levels were measured by ELISA. Single nucleotide polymorphisms rs10766197 of CYP2R1 gene and rs10877012 SNP of CYP27B1 gene were genotyped by real-time PCR.

RESULTS

Serum 25(OH) vitamin D levels were lower in MS patients than in controls (p = 0.009). No differences were observed between serum 25(OH) vitamin D levels of MS patients with severe progression compared to low progression (p = 0.88). A higher frequency of the A allele of CYP2R1 rs10766197 was observed between MS patients and controls (p = 0.05). No differences were observed in the frequency of T allele of CYP27B1 rs10877012 (p = 0.65). In subanalysis, patients with GA + AA genotypes of CYP2R1 rs10766197 had an increased risk of MS compared to controls (p = 0.03). No increased risk was observed in GT + TT genotypes of CYP27B1 rs10877012 (p = 0.63). No differences were observed in allele frequencies of either polymorphism between patients with severe vs. low disease progression.

CONCLUSION

Lower serum 25(OH) vitamin D levels were observed in MS patients than in controls, although these levels were not associated with disease progression. Carriers of GA + AA genotypes of CYP2R1 rs10766197 had an increased risk of MS. None of these polymorphisms was associated with severe progression of MS.