Primary Progressive Multiple Sclerosis

The main purpose of this study is to evaluate the efficacy of ocrelizumab in participants with relapsing multiple sclerosis (RMS) and to characterize the ocrelizumab pharmacodynamic (PD) profile in Chinese participants with primary progressive multiple sclerosis (PPMS).

The goal of this clinical trial is to treat male and female participants with two types of Multiple Sclerosis (MS) called primary progressive or secondary progressive MS. The main questions the trial aims to answer are the following: * Is TRX319 safe when administered to patients with progressive forms of MS? * At what dose does TRX319 work the best to treat participants with primary and or secondary progressive MS? * Is pre-conditioning (with Bendamustine) needed to allow TRX319 to better treat participants with primary and/or secondary progressive MS? Participants will be asked to be on study for up 1 year and may receive up to 3 total administrations of TRX319. While on study, participants will have blood tests and other assessments (MRI scans and lumbar punctures) done to understand the safety of TRX319 and how it may benefit their multiple sclerosis.

Fatigue is a prevalent symptom in patients with multiple sclerosis (MS) and is associated with considerable impairment in quality of life as well as loss of occupational capacity. Sleep disturbances are regarded as a critical factor in the development of fatigue and are frequently observed in individuals with MS. However, they often remain underrecognized, undiagnosed, and consequently untreated. Polysomnography, the gold standard for assessing sleep architecture and quality, has rarely been applied in the investigation of sleep disorders in MS. Accordingly, uncertainties remain regarding the prevalence and extent to which sleep disturbances contribute to fatigue in this population. Moreover, emerging evidence suggests an association between sleep disorders and cognitive dysfunction in MS. Yet, it is unclear whether cognitive impairment arises from the sleep disorder itself, from the resulting fatigue, or from other independent factors. Pharmacological treatments for MS-related fatigue remain limited, given heterogeneous and frequently non-replicable effects. Non-pharmacological interventions such as physical activity, cognitive behavioral therapy, and psychoeducation have shown promise but yield variable outcomes. The development of novel and effective therapeutic strategies requires a more comprehensive understanding of the etiology of fatigue. To date, the role of sleep disturbances and their relationship to cognitive performance in MS have not been adequately investigated. The objective of this project is to determine the prevalence and characteristics of sleep disorders in MS patients with fatigue using polysomnography and to examine their relationship with cognitive impairment. In addition, the study will compare sleep quality parameters and the prevalence of sleep disorders across different MS subtypes (relapsing-remitting, primary progressive, and secondary progressive). Furthermore, within a sub-study, it will be investigated whether the type of immunotherapy has an influence on the aforementioned aspects. Finally, the project seeks to integrate artificial intelligence (AI) into polysomnography analysis to streamline data evaluation and facilitate the future assessment of therapeutic interventions. The study will be conducted as a non-invasive, non-interventional, longitudinal observational trial including MS patients with fatigue and a control group of patients with subjective sleep complaints but without MS. Recruitment will take place over 36 months at two centers: the Department of Neurology at the University Hospital Düsseldorf and the Maria Hilf Clinics in Mönchengladbach. Additional recruitment will be supported by community-based neurologists in the Mönchengladbach region to broaden the study cohort and ensure representativeness of the study population. Approximately 382 MS patients are expected to be enrolled. The number of control participants will be determined by the proportion of MS patients presenting with sleep disorders and will be recruited consecutively from the neurological sleep laboratory of the Maria Hilf Clinics. For AI training, retrospective polysomnography data from the past five years (N ≥ 10,000 patients) at the Maria Hilf Clinics will be utilized. The study protocol includes overnight polysomnography to assess sleep quality, along with comprehensive clinical evaluation, neuropsychological testing, and validated questionnaires addressing fatigue, subjective sleep quality, daytime sleepiness, depression, and anxiety. Based on manually scored polysomnography, AI models will be trained to identify key parameters of sleep quality. The findings of this study will advance the understanding of the role of sleep disturbances in MS-related fatigue and will facilitate the integration of AI into sleep research, thereby streamlining the evaluation of future therapeutic approaches.

The Clinnova-Multiple Sclerosis (MS) study is part of the Clinnova program (NCT06526364; NCT06235684 and NCT05733702), which seeks to advance precision medicine and the digitalization of healthcare through high-quality, interoperable health data. This program focuses on people with multiple sclerosis (MS) and aims to identify objective surrogate markers derived from clinical, epidemiological, imaging, and omics data that can predict disease activity, such as progression or relapses. By combining data science and artificial intelligence, the project seeks to improve patient stratification, support personalized therapeutic decisions, and provide insights into the mechanisms underlying treatment response and disease progression. Although many therapies are available for MS, it remains challenging to determine the most appropriate strategy for each patient and to prevent long-term disability. Current treatments mainly target relapses and inflammation, with limited effects on chronic progression. Clinnova-MS will collect and analyze real-world and research data to better understand variability in disease activity and treatment outcomes, enabling more precise, evidence-based care within the standard of care. This study represents the first step toward the broader Clinnova objective: developing sustainable, personalized, and preventive healthcare for people living with MS.

The study seeks to investigate safety and efficacy of ixazomib (NINLARO), a proteasome inhibitor, in multiple sclerosis (MS). Participants will receive either ixazomib capsules or placebo capsules for up to 24 months.

A study of alloHCT with Orca-Q for the treatment of primary progressive multiple sclerosis (MS).