Multiple Sclerosis Research Articles

Prevalence of, and Disability Due to, Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder in Japan by the Fifth Nationwide Survey.

All 4 previous nationwide surveys of multiple sclerosis (MS) in Japan were conducted before the discovery of anti-aquaporin-4 (AQP4) antibodies; thus, neuromyelitis optica spectrum disorder (NMOSD) was included in MS, as optic-spinal MS. We aimed to clarify the epidemiologic features and trends of MS and NMOSD in Japan separately using a fifth nationwide survey. The primary survey, in which a questionnaire was sent to 3,799 selected departments (including neurology/internal medicine, pediatrics, and ophthalmology), explored the estimated number and prevalence of patients with MS or NMOSD in 2017, and the secondary survey collected detailed characteristics of the patients using a second questionnaire. The response rates for the primary and secondary surveys were 60.1% and 53.9%, respectively. The estimated total number of patients with MS or NMOSD was 24,800, 2.5-fold higher than that in the fourth survey in 2003. The crude prevalence was 19.6 per 100,000 patients (14.2 for MS and 5.4 for NMOSD), compared with 7.7 per 100,000 patients in the fourth survey. Patients with MS showed milder disability (median Expanded Disability Status Scale [EDSS] score: 2.0 [interquartile range 1.0-4.5] vs 2.5 [1.0-6.0]), decreased secondary progression (8.5% vs 15.2%), and increased usage of disease-modifying drugs (63.7% vs 37.2%) compared with those with conventional MS in the fourth survey. The proportions of oligoclonal bands and Barkhof criteria fulfillment on MRI, which are features of classical MS, increased with advancing year of birth. Patients with NMOSD also showed less disability and shorter disease duration than patients with optic-spinal MS in the fourth survey (EDSS score: 3.5 [2.0-5.5] vs 3.8 [2.0-6.0]; disease duration: 8.0 [3.9-14.8] vs 10.0 [5.0-16.0]). Among patients with NMOSD, disability was exacerbated by a history of longitudinally extensive spinal cord lesions and anti-AQP4 antibody positivity, which both decreased with advancing year of birth. The prevalences of MS (particularly with classical features) and NMOSD have been increasing in Japan, suggesting the contribution of environmental factors. However, disabilities in patients with MS and NMOSD have been mitigated. Extensive usage of various disease-modifying drugs could be a factor contributing to this disability mitigation in MS.

Costs Are Still on the Rise for Commonly Prescribed Branded Neurologic Medications.

To observe medication cost trends for 5 common neurologic conditions. We quantified annual out-of-pocket (OOP) and total medication costs for patients seen by a neurologist with epilepsy, multiple sclerosis (MS), Parkinson disease (PD), peripheral neuropathy (PN), and dementia/Alzheimer's disease in a commercial claims database cross-sectionally from 2012 to 2021. We identified 186,144 patients with epilepsy, 54,676 with MS, 45,909 with PD, 169,127 with PN, and 60,861 with dementia/Alzheimer. OOP costs for MS medications increased each year, by 217% on average. Branded epilepsy medications had higher OOP costs than generics. Decreases ranging from 48% to 80% in annual OOP costs of duloxetine, pregabalin, rasagiline, rivastigmine, and memantine were observed in the years after generic introduction. Preferentially selecting generic medications reduces OOP costs, other than for MS where costs continue to increase. Policy solutions, such as cost caps, are needed.

Journal Club: PET Imaging in Multiple Sclerosis and Its Prognostic Implications.

Journal Club: PET Imaging in Multiple Sclerosis and Its Prognostic Implications.

Associations Between Paramagnetic Rim Lesion Evolution and Clinical and Radiologic Disease Progression in Persons With Multiple Sclerosis.

Recent technological advances have enabled visualizing in vivo a subset of chronic active brain lesions in persons with multiple sclerosis (pwMS), referred to as "paramagnetic rim lesions" (PRLs), with iron-sensitive MRI. PRLs predict future clinical disease progression, making them a promising clinical and translational imaging marker. However, it is unknown how disease progression is modified by PRL evolution (PRL disappearance, new PRL appearance). This is key to understanding MS pathophysiology and may help inform selection of sensitive endpoints for clinical trials targeting chronic active inflammation. To this end, we assessed the longitudinal associations between PRL disappearance and new PRL appearance and clinical disability progression and brain atrophy. PwMS and healthy controls (HCs) were included from a larger prospective, longitudinal cohort study at the University at Buffalo if they had available 3T MRI and clinical visits at baseline and follow-up timepoints. PwMS with sufficient clinical data for confirmed disability progression (CDP) analysis were included in a Disability Progression Cohort, and pwMS and HCs with brain volumetry data at baseline and follow-up were included in MS and HC Brain Atrophy cohorts. PRLs were assessed at baseline and follow-up and assigned as disappearing, newly appearing, or persisting at follow-up. Linear models were fit to compare annualized PRL disappearance rates or new PRL appearance (yes/no) with annualized rates of CDP and progression independent of relapse activity (PIRA) or with annualized rates of brain atrophy, adjusting for covariates including baseline PRL number and follow-up time. Statistical analyses were corrected for false discovery rate (FDR; i.e., q-value). In total, 160 pwMS (73.8% female; mean baseline age 46.6 ± 11.4 years; mean baseline disease duration 13.8 ± 10.6 years; median follow-up time 5.6 [interquartile range 5.2-7.8] years; 26.9% progressive MS) and 27 HCs (74.1% female; mean baseline age 43.9 ± 13.6 years; median follow-up time 5.4 [5.2-5.6] years) were enrolled. Greater PRL disappearance rates were associated with reduced rates of CDP (β mean = -0.262, 95% CI -0.475 to -0.049, q = 0.028) and PIRA (β mean = -0.283, 95% CI -0.492 to -0.073, q = 0.036), and new PRL appearance was associated with increased rates of PIRA (β mean = 0.223, 95% CI 0.049-0.398, q = 0.036). By contrast, no associations between new PRL appearance or PRL disappearance and brain volume changes survived FDR correction (q > 0.05). Our results show that resolution of existing PRLs and lack of new PRLs are associated with improved clinical outcomes. These findings further motivate the need for novel therapies targeting microglia-mediated brain inflammation and adoption of clinical strategies to prevent appearance of new PRL.

Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap.

Disentangling brain aging from disease-related neurodegeneration in patients with multiple sclerosis (PwMS) is increasingly topical. The brain-age paradigm offers a window into this problem but may miss disease-specific effects. In this study, we investigated whether a disease-specific model might complement the brain-age gap (BAG) by capturing aspects unique to MS. In this retrospective study, we collected 3D T1-weighted brain MRI scans of PwMS to build (1) a cross-sectional multicentric cohort for age and disease duration (DD) modeling and (2) a longitudinal single-center cohort of patients with early MS as a clinical use case. We trained and evaluated a 3D DenseNet architecture to predict DD from minimally preprocessed images while age predictions were obtained with the DeepBrainNet model. The brain-predicted DD gap (the difference between predicted and actual duration) was proposed as a DD-adjusted global measure of MS-specific brain damage. Model predictions were scrutinized to assess the influence of lesions and brain volumes while the DD gap was biologically and clinically validated within a linear model framework assessing its relationship with BAG and physical disability measured with the Expanded Disability Status Scale (EDSS). We gathered MRI scans of 4,392 PwMS (69.7% female, age: 42.8 ± 10.6 years, DD: 11.4 ± 9.3 years) from 15 centers while the early MS cohort included 749 sessions from 252 patients (64.7% female, age: 34.5 ± 8.3 years, DD: 0.7 ± 1.2 years). Our model predicted DD better than chance (mean absolute error = 5.63 years, R2 = 0.34) and was nearly orthogonal to the brain-age model (correlation between DD and BAGs: r = 0.06 [0.00-0.13], p = 0.07). Predictions were influenced by distributed variations in brain volume and, unlike brain-predicted age, were sensitive to MS lesions (difference between unfilled and filled scans: 0.55 years [0.51-0.59], p < 0.001). DD gap significantly explained EDSS changes (B = 0.060 [0.038-0.082], p < 0.001), adding to BAG (ΔR2 = 0.012, p < 0.001). Longitudinally, increasing DD gap was associated with greater annualized EDSS change (r = 0.50 [0.39-0.60], p < 0.001), with an incremental contribution in explaining disability worsening compared with changes in BAG alone (ΔR2 = 0.064, p < 0.001). The brain-predicted DD gap is sensitive to MS-related lesions and brain atrophy, adds to the brain-age paradigm in explaining physical disability both cross-sectionally and longitudinally, and may be used as an MS-specific biomarker of disease severity and progression.

Rising Prevalence of Multiple Sclerosis in Switzerland - Results from the Swiss Multiple Sclerosis Registry

Introduction: Understanding the prevalence of multiple sclerosis (MS) provides information for healthcare planning and helps identify trends and patterns of disease occurrence. For Switzerland, the number of persons with MS (pwMS) was last estimated at approximately 15,000 in 2016. The study’s objectives are to update estimates of MS prevalence and characterise the change in MS prevalence in Switzerland between 2016 and 2021, the last year with complete administrative data. Methods: The Swiss MS Registry (SMSR) is an ongoing, longitudinal study in Switzerland. It has previously established a methodology to assess the epidemiology of MS in Switzerland by integrating SMSR data with administrative data on reimbursement approvals for disease-modifying therapies (DMTs). Subsequently, the benchmark-multiplier method is applied to the combined data. Using the same methodology, we calculated overall and sex- and age-specific prevalence rates for 2021. Furthermore, we descriptively analysed changes since 2016 by comparing the prevalence figures and demographic and clinical characteristics of pwMS in both years. Results: We estimated the population of pwMS in Switzerland at 18,140 [95% simulation interval 17,550-18,750], corresponding to a period prevalence of 200.8-214.5/100,000 inhabitants. Peak prevalence was observed in the 50 to 55-year age group. Compared to 2016, the 2021 estimate corresponds to a 20% increase (n=3,000). Extrapolating from Swiss population growth, we estimated that one-fifth of the observed prevalence increase may be attributed to a rising population. The proportion of pwMS in the age range from 50 to 64 (32.5% vs. 35.9%) and above 65 (8.0% vs. 11.1%) years increased. Consequently, the median [interquartile range] age increased from 47 [37-55] to 49 [38-57] years. The median age at diagnosis (36 [28-45] years) and the female-to-male ratio (2.7:1) remained stable since 2016. The proportion of pwMS treated with DMTs increased from 62.1% to 69.0%, with the largest change observed in infusion therapies (15.7% vs. 23.3%). Conclusion: The estimated MS prevalence in Switzerland has increased since the previous estimate in 2016, with a shift in peak prevalence towards older ages. Population growth explained around one-fifth of this increase, thus leaving room for contributions by additional factors, which require further investigation. The rising MS prevalence has several implications for healthcare, research and society.

MS brain health quality standards: a survey on the reality in clinical practice in Germany

Abstract Background The quality of treatment is especially critical in the context of complex and chronic diseases such as multiple sclerosis (MS). The Brain Health Initiative, an independent international consortium of neurologists, reached a consensus on time-based quality standards prioritizing brain health-focused care for people with MS. Objectives To gain deeper insights into the transferability of these quality standards to a specific area, we conducted a survey among MS experts across various MS centers in Germany. Methods Participants were asked about time frames considered high standards and those currently being implemented in daily routine based on their experience. Results The results reveal a large gap between ideal conceptions and their adaptation in the real world, mostly due to a lack of resources. Conclusions Nevertheless, these guidelines and recommendations can be aspired to as ideals. Consensual and inclusive clinical pathways complemented by measurable quality indicators are needed to improve care and approach these ideals. Neither exists in the current management of MS.

Supplementary and Premotor Cortical Activation During Manual Dexterity Involving Motor Imagery in Multiple Sclerosis: A Functional Near-Infrared Spectroscopy Study

Background Investigating brain activation during motor imagery (MI) tasks in people with multiple sclerosis (pwMS) can increase the knowledge of the neural mechanisms underlying motor dysfunction in MS and, hopefully, aid in developing improved rehabilitation strategies. Objective To investigate brain activation in the supplementary motor area and premotor cortex via functional near-infrared spectroscopy (fNIRS) during a hand manipulation task, and comparing MI with actual practice (AP) in pwMS. Methods Each subject completed a sequence of 4 consecutive manual dexterity trials wearing an fNIRS device. The tasks included the following conditions: AP dominant hand, MI dominant hand, AP non-dominant hand, and MI non-dominant hand. Results Twenty pwMS (mean Expanded Disability Status Scale = 4.75 [3.0-6.5]) and 20 healthy controls (HC) participated in the study. According to the fNIRS timeline course, a similar increase (compared with baseline) was observed in the relative oxygenated hemoglobin (HbO) concentration during the MI and AP tasks, which was immediately followed by a decrease (for either hand) in the pwMS and the HC groups. A difference in the relative HbO concentration between the HC and pwMS was detected solely when the 2 groups mentally replicated the manual dexterity task movements in the MI condition (dominant hand). The increase was higher in the HC group ( P = .030). Conclusions Despite exhibiting manual dexterity difficulties, pwMS demonstrated comparable neural activation patterns as the HCs during MI tasks in regions associated with motor planning and complex movement control, thus, suggesting that deficits in manual dexterity among pwMS may not solely originate from impairments in the motor planning processes.

Determinants of long‐term paramagnetic rim lesion evolution in people with multiple sclerosis

AbstractObjectiveBaseline paramagnetic rim lesion (PRL) load predicts disease progression in people with multiple sclerosis (pwMS). Understanding how PRLs relate to other known MS‐related factors, and the practical utility of PRLs in clinical trials, is crucial for informing clinical decision‐making and guiding development of novel disease‐modifying treatments (DMTs).MethodsThis study included 152 pwMS enrolled in a larger prospective, longitudinal cohort study who had 3T MRI scans and clinical assessments at baseline and 5‐ or 10‐year follow‐ups. PRLs were identified on baseline 3T quantitative susceptibility maps and classified as persisting, disappearing, or newly appearing at follow‐up. The relationships between PRL evolution and clinical, radiological, environmental, and genetic characteristics were assessed, and clinical trial sample sizes were estimated using PRL appearance or disappearance as outcome measures.ResultsDMT use was associated with lower odds of new PRL appearance (for high‐efficacy DMTs: odds ratio = 0.088, p = 0.024), but not disappearance. Current smoking status was associated with greater baseline PRL number (B = 0.527 additional PRLs, p = 0.013). A 24‐month clinical trial in people with progressive MS for a DMT that doubles the rate of PRL rim disappearance would require an estimated 118 people with progressive MS per group at 80% statistical power.InterpretationEarly MS diagnosis and subsequent DMT initiation may reduce new chronic active inflammation. However, the utility of PRL disappearance or new PRL appearance as outcome measures in clinical trials is limited by potentially large sample sizes that are needed for moderate efficacy drugs.

BCL3, GBP1, IFI16, and CCR1 as potential brain-derived biomarkers for parietal grey matter lesions in multiple sclerosis

BCL3, GBP1, IFI16, and CCR1 as potential brain-derived biomarkers for parietal grey matter lesions in multiple sclerosis

Investigating the Comparative Effectiveness of Yoga and Relaxation Therapy on Restlessness, Fatigue and Difficulty Concentrating in Multiple Sclerosis Patients

Background: Multiple sclerosis (MS) is a long-term autoimmune disorder affecting the central nervous system, leading to reduced quality of life and impaired physical and psychological functions. Objectives: This study aims to examine the relative efficacy of yoga and relaxation therapy in improving sleep disturbances, fatigue, and cognitive impairment among individuals diagnosed with MS. Methods: This study employed a semi-experimental research design, including a pre-test, post-test, and follow-up over three months. The target population comprised all MS patients referred to the Iranian MS Association in Tehran between July and November 2023. Sixty participants were selected using purposive sampling and randomly assigned to research groups: Two yoga therapy groups with 17 participants each, a relaxation therapy group with 16 participants, and a control group with 18 participants. The yoga therapy group participated in twelve 90-minute sessions twice a week, while the control group received no intervention and was placed on a waiting list. Various tools, including the Multidimensional Fatigue Inventory (MFI), Cohen-Mansfield Agitation Inventory (CMAI-O), and a concentration skills questionnaire, were used to collect data. The data were analyzed using ANOVA, Bonferroni post hoc test, MANCOVA, and Kruskal-Wallis H tests with a significance level of 0.05, utilizing SPSS 27 software. Results: The study found a significant difference (P &lt; 0.001) in the restlessness factor in both the post-test and follow-up phases. Additionally, there was a significant difference (P &lt; 0.001) in the levels of physical fatigue, mental fatigue, decreased activity, and decreased motivation in both the post-test and follow-up phases, indicating significant changes in the fatigue factor among the research groups. However, there was no significant difference in the general fatigue component between the research groups. A significant difference (P &lt; 0.001) was also found in the concentration factor, particularly in the components of voluntary and involuntary concentration, during both the post-test and follow-up stages. Conclusions: The results of this study indicate that both yoga and relaxation therapy techniques significantly reduce restlessness, physical tiredness, mental fatigue, decreased activity, and decreased motivation. Furthermore, the findings validate that both yoga and relaxation therapy techniques effectively enhance voluntary and involuntary concentration.

Causality between autoimmune diseases and schizophrenia: a bidirectional Mendelian randomization study.

Observational studies have shown a link between autoimmune diseases and schizophrenia, with conflicting conclusions. Due to the existence of confounding factors, the causal link between autoimmune diseases and schizophrenia is still unknown. We conducted a comprehensive Mendelian randomization (MR) analysis of schizophrenia and ten common autoimmune diseases in individuals of European descent using genome-wide association studies (GWASs). To evaluate the relationships between autoimmune diseases and schizophrenia, inverse variance weighted, MR-RAPS, Bayesian weighted MR, constrained maximum likelihood, debiased IVW, MR-Egger, and weighted median were utilized. Several sensitivity analyses were performed to ensure the reliability of the study's results. Our findings reveal that genetically predicted ankylosing spondylitis is related to an increased risk of schizophrenia, whereas celiac disease, type 1 diabetes, and systemic lupus erythematosus are associated with a lower risk of schizophrenia. In the reverse MR analysis, our study indicated that genetically predicted schizophrenia is linked to higher risks of ankylosing spondylitis, Crohn's disease, ulcerative colitis, inflammatory bowel disease, and psoriasis. Neither multiple sclerosis nor rheumatoid arthritis have been linked to schizophrenia, and vice versa. Despite contradicting some other observational reports, this study showed support for a causal link between autoimmune diseases and schizophrenia. To gain a better understanding of the mechanisms underlying the development of immune-mediated schizophrenia, additional research is required to identify potential mechanisms identified in observational studies.

Infection Risk Associated with High-Efficacy Disease-Modifying Agents in Multiple Sclerosis: A Retrospective Cohort Study.

In patients with multiple sclerosis (MS), infections represent a significant concern, particularly given the immunomodulatory effects of disease-modifying agents (DMAs). High-efficacy DMAs (heDMAs) play a pivotal role in delaying MS progression, yet their use also raises concerns regarding the risk of infection. This study aimed to compare the infection risk with the use of heDMA and moderate-efficacy disease-modifying agents (meDMAs) in MS patients. This retrospective cohort study involved adult (18-64 years) MS patients with incident DMA use based on the 2015-2019 MarketScan Commercial Claims and Encounters Database. Patients initiating heDMAs (natalizumab, alemtuzumab, and ocrelizumab) or meDMAs (interferon beta-1a, interferon beta-1b, fingolimod, teriflunomide, dimethyl fumarate, and glatiramer acetate) were included. The outcomes of interest were comparative risk of overall infection, serious infection, and frequently reported types of infection. Adjusted hazard ratios (aHR) were estimated in inverse probability treatment weighting (IPTW) based on Cox proportional hazard models. Among 10,003 eligible incident DMA users, 22.92% of patients initiated heDMAs. The IPTW-CPH model revealed that patients with heDMAs were associated with a higher risk of serious infection (aHR: 1.24, 95% confidence interval (CI): 1.06-1.44) and urinary tract infection (UTI; aHR: 1.21, 95% CI: 1.14-1.30). Sensitivity analyses with different follow-up periods yielded consistent findings with the main analyses. In MS, heDMAs were associated with a greater risk of serious infection and UTI compared with meDMAs. These findings suggest the need to carefully monitor and manage the infection risk to optimize the use of heDMAs in MS.

A new player in the game: identification of C1ql1 as a novel factor driving OPC differentiation.

Oligodendrocytes (OLGs) are the myelin-producing cells in the central nervous system (CNS). Following injury, these cells are prone to death, leading to demyelination and, eventually, axonal loss and neurodegeneration. Upon injury, the damaged CNS repopulates the lesion with oligodendrocyte precursor cells (OPCs) that consequently mature into OLGs to repair the myelin damage and prevent further axonal loss. In this issue, Altunay etal. identified that complement component 1, q subcomponent-like-1 (C1ql1), a factor known to play a role in neuron-neuron synapses, is also expressed by OPCs and drives their differentiation into OLGs. These data suggest that C1ql1 or other downstream factors could be therapeutic targets in the context of demyelinating disorders in which remyelination fails, such as in multiple sclerosis (MS).

Smartphone tests quantify lower extremities dysfunction in multiple sclerosis

IntroductionIncreasing shortage of neurologists compounded by the global aging of the population have translated into suboptimal care of patients with chronic neurological diseases. While some patients might benefit from expanding telemedicine, monitoring neurological disability via telemedicine is challenging. Smartphone technologies represent an attractive tool for remote, self-administered neurological assessment. To address this need, we have developed a suite of smartphone tests, called neurological functional test suite (NeuFun-TS), designed to replicate traditional neurological examination. The aim of this study was to assess the ability of two NeuFun-TS tests—short walk and foot tapping—to quantify motor functions of lower extremities as assessed by a neurologist.MethodsA cohort of 108 multiple sclerosis (MS) patients received a full neurological examination, imaging of the brain, and completed the NeuFun-TS smartphone tests. The neurological exam was digitalized using the NeurEx™ platform, providing calculation of traditional disability scales, as well as quantification of lower extremities-specific disability. We assessed unilateral correlations of 28 digital biomarkers generated from the NeuFun-TS tests with disability and MRI outcomes and developed machine learning models that predict physical disability. Model performance was tested in an independent validation cohort.ResultsNeuFun-TS-derived digital biomarkers correlated strongly with traditional outcomes related to gait and lower extremities functions (e.g., Spearman ρ &amp;gt; 0.8). As expected, the correlation with global disability outcomes was weaker, but still highly significant (e.g., ρ 0.46–0.65; p &amp;lt; 0.001 for EDSS). Digital biomarkers also correlated with semi-quantitative imaging outcomes capturing locations that can affect lower extremity functions (e.g., ρ ~ 0.4 for atrophy of medulla). Reliable digital outcomes with high test-retest values showed stronger correlation with disability outcomes. Combining strong, reliable digital features using machine learning resulted in models that outperformed predictive power of best individual digital biomarkers in an independent validation cohort.DiscussionNeuFun-TS tests provide reliable digital biomarkers of lower extremity motor functions.

Neurofilament light chain: a biomarker at the crossroads of clarity and confusion for gene-directed therapies.

Neurofilament light chain (NfL) is a promising biomarker for neurodegenerative diseases, measurable in both CSF and blood upon neuroaxonal damage. While CSF analysis was traditionally used, blood-based assays now offer a less invasive alternative. NfL levels correlate with disease severity and progression in conditions like Alzheimer's disease, amyotrophic lateral sclerosis, multiple sclerosis and Huntington's disease. Clinical trials demonstrate its utility as a pharmacodynamic biomarker in MS and ALS. The FDA's approval of Tofersen for SOD1-ALS based on NfL reduction underscores its growing acceptance as surrogate marker. However, challenges remain in standardizing assays, interpreting clinical correlations, low specificity and understanding the dynamics between CSF and blood NfL levels. Addressing these issues is crucial for maximizing NfL's potential in neurodegenerative disease management.

Plant derived bioactive compounds for the treatment of neurodegeneration and neuroimmune disorders associated with the complement system

The complement system is a key component of the innate immune system that mediates the clearance of pathogens, apoptotic cells, and cellular debris. However, the complement system also has diverse roles in the central nervous system (CNS), where it regulates synaptic pruning, neural plasticity, and neuroinflammation. Dysregulation of the complement system has been implicated in various neurodegenerative disorders such as Alzheimer’s disease, multiple sclerosis, epilepsy, stroke, and traumatic brain injury. In these conditions, excessive or chronic activation of the complement system may lead to synaptic loss, neuronal damage, immune dysregulation, and inflammation, which leads to exacerbating the disease’s progression and severity. Moreover, the complement system may interact with infectious agents that invade the CNS, such as bacteria, viruses, fungi, and parasites, and modulate their pathogenicity and host response. Therefore, understanding the complex interplay between the complement system and the CNS is crucial for developing novel therapeutic strategies to prevent or treat neurodegenerative and neuroimmune disorders. Natural compounds, such as plant extracts, phytochemicals, and nutraceuticals, have emerged as promising candidates for modulating the complement system and its effects on the CNS. These compounds may exert anti-inflammatory, antioxidant, neuroprotective, and immunomodulatory effects by regulating the expression of various complement components and pathways. In this review, we summarized the current knowledge on the roles of the complement system in human neurodegenerative disorders and the benefits of natural compounds for complement-targeted therapy.

Identification of novel PAD2 inhibitors using pharmacophore-based virtual screening, molecular docking, and MD simulation studies.

In the realm of epigenetic regulation, Protein arginine deiminase 2 (PAD2) stands out as a therapeutic target due to its significant role in neurological disorders, rheumatoid arthritis (RA), multiple sclerosis (MS), and various cancers. To date, no in silico studies have focused on PAD2 for lead compound identification. Therefore, we conducted structure-based pharmacophore modeling, virtual screening, molecular docking, molecular dynamics (MD) simulations, and essential dynamics studies using PCA and free energy landscape analyses to identify repurposed drugs and selective inhibitors against PAD2. The best pharmacophore model, 'Pharm_01,' had a selectivity score of 10.485 and an excellent ROC curve quality of 0.972. Pharm1 consisted of three hydrogen bond donors (HBD) and two hydrophobic (Hy) features (DDDHH). A virtual screening of about 9.2million compounds yielded 2575 hits using a fit value threshold of 2.5 and drug-likeness criteria. Molecular docking identified the top ten molecules, which were verified using MD simulations. Stability was verified using MM-PBSA studies, whereas conformational differences were investigated using PCA and free energy landscape analyses. Two hits (Leads 1 and 2) from the DrugBank dataset showed promise for repurposing as PAD2 inhibitors, while one hit compound (Lead 8) from the ZINC database emerged as a novel PAD2 inhibitor. These findings indicate that the discovered compounds may be potent PAD2 inhibitors, necessitating additional preclinical and clinical research to produce viable treatments for cancer and neurological disorders.

Expression of STAT- and T-cell-related genes in women with first-line treatment of relapsing-remitting multiple sclerosis.

Relapsing-remitting multiple sclerosis is associated with changes in Jak/STAT pathways in immune cells, but the influence of disease-modifying drugs on these pathways is poorly understood. The aim of this study was to evaluate the impact of first-line disease-modifying drugs used in treatment of RRMS on expression of the STAT pathway and T-cell-related genes in the blood and on serum concentrations of sgp130 and TGF-β1 in women, as well as on the level of phosphorylated STAT3 and STAT5 proteins in T cells of untreated patients and heathy controls. Expression of STAT1, STAT3, STAT5A, STAT5B, SOCS1, SOCS3, FOXP3, IKZF2, RORC and ICOS genes in the blood of untreated RRMS patients, in the blood of patients treated with interferon-β, glatiramer acetate, dimethyl fumarate or teriflunomide and in the blood of healthy controls was evaluated using droplet digital PCR. Serum concentrations of sgp130 and TGF-β1 were evaluated by ELISA. Phosphorylated STAT3 and STAT5 protein levels in T cells were evaluated by flow cytometry. STAT3 gene expression was significantly higher in untreated patients than in healthy control, but the level of phosphorylated STAT3 in T cells was significantly lower. Patients treated with interferon-β or dimethyl fumarate had significantly lower STAT3 gene expression. Patients treated with teriflunomide had higher STAT1 gene expression, than untreated patients. Patients treated with dimethyl fumarate also had significantly lower RORC gene expression than untreated patients. The study shows the impact of drugs used in first-line treatment of relapsing-remitting multiple sclerosis on expression of STAT and T-cell-related genes.

Validation of a Set of Clinical Criteria for the Diagnosis of Secondary Progressive Multiple Sclerosis

Background/Objectives: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by progressive impairment of neuronal transmission due to focal demyelination. The most common form is RRMS (relapsing-remitting multiple sclerosis), which, under the influence of certain factors, can progress to SPMS (secondary progressive multiple sclerosis). Our study aimed to validate the criteria proposed by a working group of the Romanian Society of Neurology versus the criteria proposed by a group of experts from Spain, Karolinska, and Croatia concerning the progression from RRMS to SPMS. Methods: This was done by gathering epidemiological data (age, gender) and by applying clinical tests such as the 9HPT (9-hole peg test), 25FWT (25-foot walk test), and EDSS (expanded disability status scale) tests and the SDMT test (symbol digit modalities test). The present research is a cohort study that included a number of 120 patients diagnosed with MS according to the McDonald Diagnostic Criteria 2017. The study was carried out between January 2023 and April 2024, including patients hospitalized in the Neurology Clinic of the Clinical Rehabilitation Hospital from Iasi, Romania. The data were collected at baseline (T0) and at a 12-month interval (T1). Results: The statistical analysis was conducted using Kaiser–Meyer–Olkin analysis, which indicated a value of 0.683, thus validating the clinical tests used. The correlation matrix and the linear regression for all the tests showed highly significant statistical results. Furthermore, the ROC curve analysis of the criteria suggested by the working group of the Romanian Society of Neurology demonstrated that the EDSS, 9HPT, and 25FWT are highly sensitive in diagnosing SPMS, an opinion that is shared with the Spanish experts, but not with the Karolinska expert panel. Using the criteria given by the Croatian expert group in the ROC curve analysis showed that only the EDSS was strongly significant for the progression to the SPMS phase. Conclusions: In conclusion, all clinical methods used demonstrated that they are valid and can contribute to identifying patients with an increased risk of progression. The model proposed by the Romanian Society of Neurology working group is similar to other countries’ expert opinions and can be used to detect the risk of disease progression and establish a more tailored therapeutic management of SPMS.