Multiple Sclerosis Symptoms Research Articles

Use of the International Prostate Symptom Score in men with Multiple Sclerosis

Objective : Men with multiple sclerosis (MS) tend to present with urinary symptoms potentially translating to significant findings on urodynamics (UDS). We sought to assess the reliability and prognostic value of the International Prostate Symptom Score (IPSS) and Quality of Life (QoL) in patients with MS. Methods : A prospective study between July 2014 and August 2016 included 40 consecutive men with MS and lower urinary tract symptoms (LUTs) referred for video UDS. All participants completed the IPSS and QoL assessments. Results were compared and correlated to UDS parameters. Results : Mean (±SD) age, IPSS, and QoL were 53.7 ± 13.5 years, 16.7 ± 8.9 and 4.1 ± 1.4, respectively. The most common presenting symptom and UDS finding were urinary frequency (79%) and detrusor overactivity (68%). 72% had moderate-severe symptoms base on the IPSS. Reduced bladder compliance on UDS was associated with intermittency and straining answers on IPSS (p = 0.02 and p = 0.03). QoL did not predict UDS parameters. Conclusion : QoL and total IPSS scores are likely insufficient for MS and LUTs patient assessment due to the variability of UDS findings. However, in these patients, IPSS storage symptom questions had significant correlation with UDS. Furthermore, presenting symptoms in MS & LUTs did not correlate with UDS findings. Therefore, in patients with MS and LUTs, UDS must be performed for adequate disease assessment

Spasticity-Plus syndrome in multiple sclerosis patients in a tertiary hospital in Spain.

Spasticity is a common symptom in multiple sclerosis (MS) and it is often associated with other symptoms such as spasms/cramps and pain. The concept of Spasticity-Plus syndrome takes into account that spasticity is accompanied by one or more symptoms (spasms/cramps, pain, bladder dysfunction, sleep disorders, fatigue and/or tremor). As these symptoms share a common cannabinoid control, therapy acting on cannabinoid receptors may be useful. The main study objectives were to determine the number of MS patients who met Spasticity-Plus syndrome criteria and to identify the most common symptoms. Clinical records of MS patients treated with nabiximols in a tertiary hospital from 2002 to 2022 were reviewed retrospectively. Of the 73 patients included in the study, 53.4% were women, and most had secondary progressive MS (64.4%). All patients met the criteria for Spasticity-Plus syndrome: 100% had spasticity and at least another symptom. Pain was the second most common symptom (91.8%), followed by spasms/cramps (79.4%), and fatigue (76.7%). Sleep disturbances (p < 0.0001) and tremor (p < 0.027) were more frequent in patients with relapsing-remitting MS than in patients with progressive MS. No statistically significant differences were found for spasticity, pain, spasms/cramps, and fatigue between MS phenotypes. Regarding symptoms clusters, 94.4% of the patients had three or more symptoms. Spasticity was more frequently associated with pain (91.8%) and spasms/cramps (79.4%). Spasticity-Plus syndrome was present in all the study population of patients with different MS phenotypes, and treated with nabiximols.

Risk Factors for Psychiatric Disorders in Patients with Multiple Sclerosis-A Single-Center Study in the Polish Population.

Aim: The aim of this study was to determine the prevalence of mental disorders in a group of patients with multiple sclerosis (MS) during outpatient treatment. Additionally, an attempt was made to assess the influence of parameters related to patients and their clinical status on the prevalence of mental disorders. Materials and Methods: This study was conducted between 2017 and 2018 in a group of 103 patients with MS who underwent treatment at the Outpatient Clinic of Neurology at the Clinical Hospital No. 1 in Zabrze, Poland. Sociodemographic data were collected, and the course of the underlying disease and comorbidities underwent assessment. The Mini International Neuropsychiatric Interview (MINI) and psychiatric examination were used to assess the occurrence of mental disorders. Results: In this study, female subjects accounted for 67.96% of patients (mean age: 43 years). Of all patients, 67% of subjects were clinically diagnosed with mental disorders during their lifetime. The results of the MINI Questionnaire showed that 33% of MS patients had a history of a major depressive episode, while 8.7% of patients met the criteria for a depressive episode. The same number of patients were treated for recurrent depressive disorders. Generalized anxiety disorder was diagnosed in 10.7% of patients, agoraphobia in 8.7% and panic disorder in 7.8%. Most patients (94.2%) had a low risk of suicide, according to the MINI Questionnaire. This study did not show a significant influence of age, sex, duration of MS symptoms or severity of symptoms as expressed by the Expanded Disability Status Score (EDSS) on the prevalence of mental disorders (p = 0.05). However, a significantly higher median EDSS score was found in patients with a history of mental disorders (p = 0.03). Additionally, a significant negative correlation was found between having a family and a psychiatric diagnosis (p = 0.01). A statistically significant negative correlation was found between the level of education and the suicide risk as assessed by the MINI Questionnaire (p = 0.03). Conclusions: This study showed a high prevalence of mental disorders in patients with MS, of which depressive episodes and anxiety disorders were the most commonly reported. There may exist a relationship between the degree of disability of MS patients and a higher prevalence of mental disorders. Patients with MS who do not have a family may be more susceptible to mental disorders. In turn, patients with a lower level of education may show a higher risk of suicide. This suggests the need for psychological and psychiatric support for patients with MS, with particular consideration given to those who are alone, those with more severe disability and patients with a lower level of education.

Neuroimaging and neuromodulation of invisible symptoms in multiple sclerosis.

Neuroimaging and neuromodulation of invisible symptoms in multiple sclerosis.

Drooling may be Associated with Dysphagia Symptoms in Multiple Sclerosis

During the process of the multiple sclerosis (MS), persons with multiple sclerosis (PwMS) may experience drooling (sialorrhea) issues that are frequently disregarded. The exact cause of drooling in PwMS is poorly understood. This study aims to assess potential risk factors for drooling seen in PwMS. The study included 20 PwMS with drooling and 19 PwMS without drooling. The participants’ sociodemographic data and clinical parameters were noted. To evaluate dysphagia, fatigue, and hypersalivation, the Dysphagia in Multiple Sclerosis Questionnaire (DYMUS), the Fatigue Severity Scale (FSS), and objective saliva flow rate measurement with cottons placed in Stensen ducts and under the tongue (swab test) were used, respectively. The study employed univariate and multivariate logistic regression models to identify the risk factors linked to drooling. Gender, age, disease duration, MS type, and Expanded Disability Status Scale scores did not differ between the two groups. There was a significant increase in the DYMUS and submandibular/sublingual (SM/SL) saliva flow rate values in PwMS with drooling (p = 0.009 and p = 0.019, respectively). However, in our study, hypersalivation was not observed in PwMS with or without drooling. In the univariate model, DYMUS, SM/SL saliva flow rate, and FSS were found to be risk factors for drooling in PwMS. But only DYMUS was shown to be a significant risk factor in the multivariate model obtained by the backward (Wald) elimination method (p = 0.023). Finally, our research is the first to demonstrate the relationship between drooling and the presence of dysphagia symptoms in PwMS. This is a very important study to determine the nature of drooling in PwMS. This finding shows that our study will serve as a reference for choosing the best method for drooling treatment.

VISIBL-MS: A bilingual educational framework to increase awareness of early multiple sclerosis

Background: Despite advancements in treatments of multiple sclerosis (MS), there is a lack of awareness of early MS symptoms, especially in students and the public, contributing to delays in diagnosis and treatment. This review aims to identify gaps in tools to increase awareness and to provide a bilingual framework to facilitate recognition of early MS symptoms. Methods: We performed a literature review to determine the use of English and Spanish mnemonics in MS education for medical students and patients. Results: There is no educational tool to help remember the early signs of MS at present. Here we present a framework for early awareness encompassed in the bilingual mnemonics VISIBLY (English) and VISIBLE (Spanish). VISIBLY stands for (1) Vision changes: Painful vision loss, loss of color vision or double vision; (2) Belly or Back numbness and Balance issues; (3) Limb weakness or Numbness; (4), Young people. Spanish version is included in the manuscript. Conclusion: We posit that VISIBL-MS provides a framework for MS awareness that addresses the interconnection between language, culture, health literacy, and health outcomes and can be a useful educational tool to tackle the effects of health literacy on diverse communities.

Empowering Minds and Bodies: The Impact of Exercise on Multiple Sclerosis and Cognitive Health.

Multiple sclerosis (MS) is a global health concern affecting around 2.6 million people. It is characterised by neural inflammation, myelin breakdown and cognitive decline. Cognitive impairment, especially reduced cognitive processing speed (CPS), which affects up to 67% of MS patients and frequently manifests before mobility concerns, is one of the disease's most serious side effects. Effective adaptation and the application of cognitive rehabilitation treatments depend on the early diagnosis of cognitive impairment. Although pharmaceutical therapies have some drawbacks, endurance training has become a promising alternative. Intensity-controlled endurance exercise has the ability to delay the onset of MS symptoms and enhance cognitive function. Exercise has also been shown to have neuroprotective effects in a number of neurological disorders, including MS, Parkinson's disease and stroke. This includes both aerobic and resistance training. A mix of aerobic exercise and weight training has shown promise, especially for people with mild cognitive impairment, but according to recent studies any amount of physical activity is beneficial to cognitive performance. In conclusion, this in-depth analysis highlights the crucial part endurance exercise plays in treating MS-related cognitive impairment. It improves not only neurological health in general but also cognitive performance. Exercise can help control MS in a way that dramatically improves quality of life and well-being.

Role of Smartphone Applications in the Assessment and Management of Fatigue in Patients with Multiple Sclerosis: A Scoping Review

Fatigue is a common symptom in Multiple Sclerosis (MS), and its assessment depends entirely on patient reports. Importantly, managing MS symptoms is increasingly supported by Digital Health Technology (DHT), which includes Mobile Health Technology (mHT). Considering the growing interest, we aimed to synthesise evidence about smartphone applications for the assessment and management of fatigue in MS, as well as to investigate their usability, feasibility, and reliability. We performed a literature search in PubMed, Science Direct, and Embase using a scoping review approach. We included 16 articles and, although many lacked crucial methodological details, DHT was evaluated in all MS clinical subtypes and with disease durations up to more than 20 years. Despite the marked heterogeneity in terms of the employed methods, all documented a high degree of usability, assessed both as feedback from participants and completed tasks. Moreover, the feasibility assessment also showed good results, as apps were able to discriminate between patients with and without fatigue. Importantly, most also showed excellent results in terms of reliability, and some patients reported a reduction in fatigue thanks to mHT. Despite limitations, mHT has been positively evaluated by patients, suggesting a promising role of DHT in the self-management of MS.

Randomized Controlled Trial of the Behavioral Intervention for Physical Activity in Multiple Sclerosis Project: Response Heterogeneity and Predictors of Change.

We reported that a social cognitive theory-based (SCT), Internet-delivered behavioral intervention increased device-measured minutes/day of moderate-to-vigorous physical activity (MVPA) over a 6-month period among persons with multiple sclerosis (MS). This paper examined the pattern and predictors of heterogeneity in change for MVPA. Based on previous research, we hypothesized that mild MS disability, fewer MS symptoms, lower baseline MVPA, and positive SCT characteristics (e.g., high exercise self-efficacy) would be associated with greater change in MVPA. Persons with MS (N = 318) were randomized into behavioral intervention (n = 159) or attention/social contact control (n = 159) conditions that were administered via Internet websites and supported with behavioral coaching. Demographic, clinical, symptom, behavioral, and SCT data were from before the 6-month period of delivering the conditions, and MVPA data were from before and after the 6-month period. We examined heterogeneity based on waterfall plots, box plots, and the Levene statistic. We identified predictors of MVPA change using bivariate correlation and multiple, linear regression analyses per condition. The Levene statistic indicated statistically significant heterogeneity of variances for MVPA change between conditions (p = .003), and the waterfall plots and box plots indicated greater heterogeneity in MVPA change for the behavioral intervention. MVPA change score was correlated with baseline MVPA (r = - .33 and r = - .34, p = .0004 and p = .0001) in both conditions and walking impairment (r = - .188, p = .047) and race (r = .233, p = .014) in the behavioral intervention condition. The regression analysis indicated that baseline MVPA (Standardized B = - .449, p = .000002), self-reported walking impairment (Standardized B = - .310, p = .0008), and race (Standardized B = .215, p = .012) explained 25.6% of variance in MVPA change for the behavioral intervention condition. We provide evidence for walking impairment, baseline MVPA, and race as predictors of the heterogeneity in the pattern of MVPA change with a behavioral intervention.

Predicting physical activity for people with multiple sclerosis: The role of exercise-related cognitive errors.

Multiple sclerosis (MS) is a neurological disease that is chronic, progressive characterized by symptoms of relapsing fatigue and pain. Despite evidence supporting the use of physical activity (PA) for MS symptom management, low rates of PA participation are observed. Previous research suggests exercise-related cognitive errors (ECEs) can deter and decrease PA participation. The purpose of this study was to examine whether ECEs and self-regulatory efficacy for MS symptom control predict important behavior-related outcomes for MS self-management (dependent variables: PA, maladaptive behavioral responses to illness, and perceived walking impairment). Adults with MS (N = 110; aged 18 and over, with a patient-determined disease steps score of six or less) completed the following validated questionnaires: ECEs, MS symptom control self-efficacy, self-report moderate to vigorous physical activity, behavioral responses to illness, and perceived walking impairment. ECEs significantly predicted behavioral responses to illness (β = .459, p < .01) and perceived walking impairment (β = .279, p < .01). The interaction between ECEs and self-regulatory efficacy significantly predicted all three dependent variables (βs ranged from .155 to .263, ps < .05). This is the first study to demonstrate associations between ECEs and different illness- and mobility-related perceptions for persons with MS. Findings suggested that self-regulatory efficacy to manage MS symptoms varied based on low, moderate, or high levels of ECEs. Disability status is not easily modifiable; targeting social cognitions, like self-regulatory efficacy or ECEs, may be a promising way to promote PA for MS self-management. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Social cognitive disruptions in multiple sclerosis: The role of executive (dys)function.

Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system, resulting in a range of potential motor and cognitive impairments. The latter can affect both executive functions that orchestrate general goal-directed behavior and social cognitive processes that support our ability to interact with others and maintain healthy interpersonal relationships. Despite a long history of research into the cognitive symptoms of MS, it remains uncertain if social cognitive disruptions occur independently of, or reflect underlying disturbances to, more foundational executive functions. The present preregistered study investigated this directly. Employing an experimental design, we administered a battery of computerized tasks online to a large sample comprising 134 individuals with MS and 134 age- and sex-matched healthy controls (HCs). Three tasks measured elements of executive function (working memory, response inhibition, and switching) and two assessed components of social cognition disrupted most commonly in MS (emotion perception and theory of mind). Individuals with MS exhibited poorer working memory (d = .31), response inhibition (d = -.26), emotion perception (d = .32), and theory of mind (d = .35) compared with matched HCs. Furthermore, exploratory mediation analyses revealed that working memory performance accounted for approximately 20% of the group differences in both measures of social cognition. Disruptions to working memory appear to serve as one of the mechanisms underpinning disturbances to social cognition in MS. Future research should examine if the benefits of cognitive rehabilitation programs that incorporate working memory training transfer to these social cognitive processes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Measuring fatigue in people with multiple sclerosis - which questionnaire should be used? A Plain Language Summary of Publication.

This summary explains the findings of a recent study that compared different questionnaires used by doctors to measure levels of fatigue in people with multiple sclerosis (MS). The aim of the study was to find out which questionnaire doctors should use to measure fatigue in people with MS in the future. Fatigue, which can be described as the overwhelming feeling of tiredness or exhaustion, is a very common symptom of MS. For the majority of people with MS, fatigue is one of the worst symptoms of MS, so it is essential that doctors can measure it accurately. Currently, people with MS are asked to complete questionnaires so that their care team can see the effect of fatigue on their day-to-day lives. There are many questionnaires that are used to measure fatigue in people with MS. It would be valuable to come to an agreement, based on evidence from research like this study, on which questionnaire is the most appropriate for measuring fatigue in both research and healthcare settings. This study compared a questionnaire called the PROMIS® Fatigue (MS) 8a, referred to throughout this summary as the PROMIS® MS Fatigue Short Form, with two of the most commonly used questionnaires: the Fatigue Severity Scale (FSS) and the Modified Fatigue Impact Scale (MFIS). The questionnaires were compared to see which one should be recommended to doctors for measuring fatigue in people with MS. It was found that while all three questionnaires were good, the PROMIS® MS Fatigue Short Form questionnaire was better than the other two questionnaires at showing differences in levels of fatigue between people with MS. The PROMIS® MS Fatigue Short Form was also found to be better than the Fatigue Severity Scale (FSS) at showing changes in the person with MS's level of fatigue. The PROMIS® MS Fatigue Short Form questionnaire may help people with MS to better communicate challenges with their fatigue to their doctors. The study suggests that the PROMIS® MS Fatigue Short Form questionnaire is a helpful tool for doctors and people with MS to measure fatigue.

Brain stimulation for patients with multiple sclerosis: an umbrella review of therapeutic efficacy.

Multiple sclerosis patients often experience various symptoms that can greatly impact their quality of life. There are various brain stimulation techniques that have been evaluated for their ability to reduce the symptoms of multiple sclerosis. However, there is inconsistency in the specific stimulation methods used and the symptoms targeted in the existing research. This umbrella review conducted in order to evaluate the effectiveness of brain stimulation and identify limitations and gaps for further research. In this umbrella review, we conducted a searched on Web of Knowledge, PubMed, and Scopus database. We specifically looked for reviews, with or without meta-analyses, that have investigated the effects of brain stimulation methods on symptoms of multiple sclerosis. All articles were examined by AMSTAR 2 (A Measure Tool to Assess Systematic Review 2). We identified 155 articles, of which 14 were eligible for inclusion. Of those, five were qualitative studies and nine were meta-analyses. Among the included studies, four examined the use of deep brain stimulation, while ten investigated the therapeutic potential of noninvasive brain stimulation. Considering the heterogeneity of studies, the current evidence suggests that repetitive transcranial magnetic stimulation may be effective in treating pain and improving motor function, while transcranial direct current stimulation may be useful in alleviating fatigue and enhancing certain aspects of cognitive performance. Deep brain stimulation, on the other hand, appears to be effective in reducing tremors. However, further research is warranted to validate these findings and address the existing limitations in the field.

The 7-year follow-up of the Hungarian BICAMS validation cohort implies that cognitive performance may improve in multiple sclerosis patients.

Cognitive impairment (CI) is a frequent symptom of multiple sclerosis (MS) and has a great impact on the patients' quality of life, so screening is essential. The brief international cognitive assessment for multiple sclerosis (BICAMS) was developed for this purpose. However, longitudinal data is lacking with the use of the battery. This study is to assess the performance of patients after 5 and 7 years of the original BICAMS validation study and to identify any influencing factors. BICAMS was used to measure cognitive function of 52 relapsing-remitting MS patients (RRMS) from the original validation study after 5 years (n = 43) and again, after 7 years (n = 42). Patients filled out the fatigue impact scale (FIS) and multiple sclerosis quality of life-54 (MSQoL-54) questionnaire, and we evaluated expanded disability status scale (EDSS). There was an improvement in the BVMT-R and the CVLT-II assessments at both the 5-year (p<0.001 and p=0.025) and the 7-year retest (p<0.001 and p=0.002). The prevalence of CI significantly decreased at the 5-year mark (p=0.021) but remained stable after that. There was no deterioration in MSQoL scores during the study. The basic cognitive performance is the most important influencing factor, but the duration of the disease, the EDSS score, and the escalation of the therapy also affect the cognitive scores. This is the longest longitudinal study utilizing the BICAMS battery, reinforcing its feasibility as a clinical screening tool. It seems that cognitive performance may improve in the long term and early initiation of effective therapy may influence this outcome.

Seeing the Invisible: A Photovoice Exploration of Living With and Managing the Invisible Symptoms of Multiple Sclerosis

In this photovoice study, we explored how people with multiple sclerosis (MS) experience living with and managing invisible symptoms in daily life. Twelve people with MS produced digital images over a 2-week period to capture their experiences of invisible symptoms. Participants then discussed their images in semistructured interviews. We thematically analyzed the interviews and developed three main themes that encompass the difficulties around conceptualizing invisible symptoms and the conflicts of legitimacy this presents for people with MS, in which the reality of their invisible symptoms is invalidated by others and sometimes for themselves. Participants navigated these issues in dynamic ways, choosing to fit their symptoms to their lives or make space for their symptoms depending on the context, often influenced by a desire to “stay invisible” or to “be seen.” We highlight clinical implications for supporting people with MS around the legitimacy conflicts they experience and how they negotiate living with invisible symptoms.

Analysis of static plantar pressure data with capsule networks: Diagnosing ataxia in MS patients with a deep learning-based approach

In this study, it was aimed to detect ataxia in patients with Multiple Sclerosis (MS) by utilizing static plantar pressure data and capsule networks (CapsNet), one of the deep learning (DL) architectures. CapsNet is also equipped with a robust dynamic routing mechanism that determines the output of the next capsule. MS is a chronic nervous system disease that shows its effect in the central nervous system and manifests itself with attacks. One of the most common and challenging symptoms of MS is known as ataxia. Ataxia causes loss of control of limb muscle tone or gait disorders, leading to loss of balance and coordination. The diagnosis of ataxia in MS is applied employing the standard Expanded Disability Status Scale (EDSS) score. However, due to reasons such as physician misconception, diagnosis differences among physicians, and incorrect patient information, more unbiased solutions are required for the diagnosis. The results included Sensitivity at 96.34 % ± 1.71, Specificity at 98.11 % ± 2.04, Precision at 98.08 % ± 2.16, and Accuracy at 97.13 % ± 0.33. The main motivation of the study is to show that these deep learning methods can successfully detect ataxia in MS patients using static plantar pressure data. The high-performance measurements of sensitivity, specificity, precision and accuracy emphasize that the proposed system can be an effective tool in clinical practice. In addition, it was concluded that the proposed autonomous system would be a support mechanism to assist the physician in the detection of ataxia in patients with MS.

CFPD-PK simulation of inhaled Delta-9-tetrahydrocannabinol aerosol dynamics: Transport, deposition, and translocation in a mouth-to-G10 subject-specific human airway

Medical cannabis is increasingly used as an alternative therapy for various conditions, including chronic pain, multiple sclerosis, epilepsy, and cancer-related symptoms. However, it is crucial to ensure that patients receive the intended dose of tetrahydrocannabinol (THC) from inhaled cannabis for optimal therapeutic effect without overdose risk. This requires a comprehensive understanding of the factors that influence the pharmacokinetics (PKs) of THC in the respiratory system. However, accurate estimation of lung dosimetry and blood concentration of inhaled THC remains challenging partially because the influence of diversified patient-specific puff patterns on inhaled THC transport, deposition, and translocation is still not well quantified. To address the knowledge gap mentioned above, this study employed a hybrid computational fluid-particle dynamics (CFPD) and PK model to evaluate factors that influence delivered doses of THC to the human respiratory system and the resultant THC-plasma concentration-time profile. Specifically, this study compared multiple puff waveforms for inhalation-holding-exhalation (IHE) with total puff volumes from 55 to 82 ml for 2 or 3 s, hold durations from 0 to 5 s, and three puff waveforms (i.e., square, sinusoidal, and realistic). THC deposition in the airways was recorded during all phases for each case using either 452,849 particles per second for the 1.128-μm monodisperse cases or 399,866 particles per second for the polydisperse cases, with the mass median aerodynamic diameter (MMAD) of 1.128 μm. Pulmonary air-THC particle flow transport dynamics, THC particle deposition data, and THC vapor absorption were predicted using CFPD for four airway regions, then scaled by region-specific bioavailability factors. The deposited THC mass in airway regions represents the initial mass entering a 3-compartment PK model, to predict the THC-plasma concentration-time profiles. The CFPD-PK results revealed significant variability in THC transport, deposition, and plasma concentration based on IHE factors. Specifically, larger puff volumes and longer holding times enhanced THC deposition in deeper airways and increased THC-plasma concentrations. Realistic transient puff waveforms predicted higher particle deposition and THC-plasma concentrations than simplified square waveforms. Polydisperse particle distributions show more realistic deposition patterns than monodisperse particle simulations. This study provides insights into the complexity of THC inhalation therapy, emphasizing the importance of considering individualized puff patterns and realistic particle size distributions in accurately predicting therapeutic outcomes, which is highly related to THC deposition in the lung and THC plasma concentration. These findings and the CFPD-PK modeling framework offer guidance for clinicians in prescribing personalized THC dosages, support regulatory science in evaluating inhalation devices, and contribute to ongoing research aimed at optimizing THC delivery for maximum therapeutic effectiveness while minimizing potential overdose risks.

Roflumilast: Modulating neuroinflammation and improving motor function and depressive symptoms in multiple sclerosis

BackgroundMultiple sclerosis (MS) is an autoimmune disease causing central nervous system demyelination, often associated with depression. Current treatments for MS do not effectively address both physical disability and depression. Roflumilast, a phosphodiesterase-4 inhibitor with anti-inflammatory properties, has shown promise for autoimmune diseases. MethodsWe used an experimental autoimmune encephalomyelitis (EAE) rat model to study roflumilast's effects. Motor dysfunction and depression symptoms were assessed, and histopathological analysis evaluated its anti-inflammatory properties. Flow cytometry examined the drug's impact on brain microglia. TNF-α, IL-1β, and IL-6 levels in hippocampal tissue were assessed using ELISA kits. ResultsRoflumilast improved motor dysfunction and depression symptoms in EAE rats. Histopathological analysis revealed reduced inflammation, demyelination, and axonal loss in the spinal cord. Roflumilast suppressed microglial cell activation and conversion to pro-inflammatory M1-type cells. Flow cytometry showed roflumilast inhibited inflammatory marker expression in microglia and their activation in the hippocampus. IL-6 was identified as a roflumilast target for suppressing hippocampal inflammation. LimitationsThis study used an animal model and did not assess long-term or potential side effects of roflumilast treatment. ConclusionsRoflumilast holds promise as a treatment for depression and motor impairment in MS. Its anti-inflammatory properties, reducing inflammation and inhibiting microglial activation, suggest its potential for MS therapy. However, further research is needed to evaluate long-term effects and safety in MS patients.

Insights for Healthcare Providers on Shared Decision-Making in Multiple Sclerosis: A Narrative Review.

Shared decision-making (SDM) between the patient and their healthcare provider (HCP) in developing treatment plans is increasingly recognized as central to improving treatment adherence and, ultimately, patient outcomes. In multiple sclerosis (MS), SDM is particularly crucial for optimizing treatment in a landscape that has grown more complex with the availability of newer, high-efficacy MS therapies. However, little direct evidence on the effectiveness of SDM is available to guide practice. Multiple factors, including patient age, ethnic background, perceptions, invisible MS symptoms, and psychological comorbidities can influence a patient's willingness and ability to participate in SDM. HCPs need to appreciate these factors and ask the right questions to break down obstacles to SDM. The HCP has a responsibility to help patients feel adequately informed and comfortable in having an active role in their care. This review identifies potential barriers to SDM and provides a strategy for HCPs to overcome these obstacles through patient (and caregiver) discussions to ensure optimal patient satisfaction with treatment and thus the best possible outcomes for their patients.

Nutritional interventional studies in patients with multiple sclerosis: a scoping review of the current clinical evidence.

A good nutritional status appears to slow down disease progression and ameliorate symptoms' intensity in patients with multiple sclerosis (MS). Up to date, there are several interventional studies, which have explored the potential beneficial effects of specific dietary patterns as well as specific bioactive nutrients against disease progression and symptomatology of MS patients. This is a thorough, scoping review, which aims to critically summarize and scrutinize the currently available clinical evidence of the potential beneficial effects of nutritional interventional studies against MS progression and symptomatology. This review was conducted to systematically map the research done in this area, as well as to identify gaps in knowledge. For this purpose, we thoroughly explored the most accurate scientific web databases, e.g., PubMed, Scopus, Web of Science, and Google Scholar to achieve the most relevant clinical human studies applying effective and characteristic keywords. There are currently several dietary patterns and specific bioactive nutrients that show promising results by slowing down disease progression and by improving MS symptoms. However, there are also certain conflicting results, while most of the existing studies enrolled a small number of MS patients. Nutritional interventions may exert substantial protective effects against MS progression and symptomatology. However, large, long-term, randomized, double-blind, controlled clinical trials with a prospective design are strongly recommended to delineate whether such nutritional intervention may attenuate disease progression, and improve symptomatology in MS patients.