View clinical trials related to Multiple Sclerosis.
Filter by:This is a cross-sectional study to evaluate the variation of biological biomarkers of oxidative stress and inflammation in response to the external exposome, in people with Multiple Sclerosis (pwMS).The objective is to study the variation of biological biomarkers of oxidative stress and inflammation in response to external exposome in pwMS, controlling for other biomarkers (cytokine, neurofilaments, microbiome), gender, age, anthropometric measurements, vitamin D levels and medical history. Specifically, the variation of microRNAs is defined as the primary outcome, in response to urban air pollution, urbanization, lifestyle and quality of life components of the external exposome. Following the functional exposome approach:(1)Information on a pwMS sample about socio-demographic characteristics and medical history will be collected and specific components of the (2) On the same pwMS sample, the internal exposome variation will be measured. MicroRNA levels and gut and nasal microbiota alpha- and beta-diversity and relative bacterial abundances will be considered as biomarkers of oxidative stress and inflammation. At the same time, cytokines and neurofilament proteins (NfL) will be measured as biomarkers of neurodegeneration and axonal damage. Adults (≥ 18 years) pwMS, with relapsing-remitting course, diagnosis of MS according to 2017 McDonald criteria and residing in Pavia or Milan (Italy) will be included. Potentially eligible pwMS will be screened by a neurologist expert in MS who will verify that all the inclusion criteria will be fulfilled. To validate variation among 7 selected MS diagnostic miRNA, in response to urban air pollution, urbanization, lifestyle and quality of life components of the external exposome, the differential expression (ΔCT) for each miRNA will be considered as the outcome measure. Two hundred eligible pwMS who meet the inclusion criteria and sign the informed consent will be included in the study, to consider 15% dropout at the blood sampling stage.
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS). Diagnosis is established by clinical assessment of persons with MS (PwMS), in combination with imaging and body fluid assessments. Treatment decisions in MS are mainly based on periodic monitoring of disease activity and progression through clinical and imaging assessments. The predictive and prognostic value of currently used assessments to individualize treatment decisions is still very limited. Emerging digital measures have the potential to provide granular health status measurements that would allow monitoring MS disease activity and progression continuously and remotely, in real-world settings, with minimal disruption of patients' life. Using the investigators' self developed dreaMS software program the investigators previously identified digital biomarkers (DB) that hold promise to provide detailed and accurate assessments of MS-related health status and disease progression to complement traditional clinical, imaging, or body fluid assessments. This international, observational study aims to evaluate and validate the generalizability of these DB across different languages and cultural settings to provide DB that are helpful for patient care, research, and regulatory decisions. Beyond this, the processes and data structures created for this study are intended to establish a collaborative research platform for subsequent studies, including pragmatic trials, promoting new long-term international academic collaborations.
This study aimed to demonstrate the remote reliability of the 30-second sit-to-stand test in patients with multiple sclerosis.
This study aims to investigate the effects of the treatment combination consisting of motor imagery and action observation therapy on balance, functional mobility, lower extremity muscle strength, fatigue and quality of life.
Multiple sclerosis (MS) is a neurodegenerative disease characterized by demyelination of the central nervous system. Young women between the ages of 20 and 40 are primarily targeted by this disabling disorder. Till now there are no sufficient mechanisms to explain the pathophysiology of multiple sclerosis.
This study aims to investigate the effects of regular remote monitoring of physical activity levels of individuals with multiple sclerosis on physical activity levels, psychological health, fatigue and quality of life.
The overarching goal of this research protocol is to acquire eye-tracking, cognitive, and disease-severity metrics in MS patients to train machine learning algorithms that will support the development and performance assessment of a sensitive and non-invasive eye-tracking software application. The training of our machine learning classifying algorithms to identify which eye-tracking metrics-or combination thereof-can serve as reliable markers of MS disease severity and cognitive status.
This prospective cohort study is designed to characterize the utility of sNfL as a biomarker in clinical practice. This study also aims to understand how access to sNfL measures affects patient and clinician knowledge of their disease status and capture how this may have the potential to influence clinical decision-making. Level of disability, cognitive changes, fatigue, depression, and quality of life to detect clinical and subclinical worsening will be measured. While there is strong evidence in support of sNfL as a potential biomarker, literature regarding the application of sNfL in a real-world clinical practice setting is lacking. Understanding the utility of this test to clinicians and patients as a biomarker of MS disease activity is essential. Additionally, the optimum sampling frequency in clinical practice should be investigated to further elucidate its practicality. Given recent advances in the treatment of MS, there is increasing need for convenient and accessible measures of treatment efficacy.
The RECLAIM study aims to gather a centralized and harmonized dataset, enabling the secondary use of data for building AI-based models that will support diagnosis and prognosis of individual Multiple Sclerosis patient's disease course and treatment response in a real-world setting. Additionally, the data will be used to generate further insights on Multiple Sclerosis progression as well as to develop the tools to monitor this progression.
The Service Hospitalier Frédéric-Joliot (SHFJ) and Paris Brain Institute (ICM) groups have identified [18F]-DPA-714 as a promising second-generation TSPO tracer, a macromolecule overexpressed in neuroinflammatory conditions, for PET imaging. They have also developed a non-invasive quantification methodology, enabling the generation of individual neuroinflammation maps in MS patients. Recent findings from [18F]-DPA-714 PET imaging in MS patients revealed that most of the white matter lesions contained a smoldering component, even when considered inactive on MRI, and that their neuroinflammatory profiles were associated with longitudinal disability worsening. The Inflanet project aims to leverage a unique consortium comprising French radiochemists, radiopharmacists, nuclear medicine/neuroimaging experts, and MS neurologists to establish the first national network dedicated to [18F]-DPA-714 PET imaging in MS, so far limited to monocentric studies. The objectives of the INFLANET project are (1) to conduct the first multicenter study assessing neuroinflammation in patients with active MS using [18F]DPA-714 PET tracer, and (2) to establish a methodology suitable for the quantification of multicenter PET data obtained with [18F]DPA-714. The INFLANET initiative aims to disseminate TSPO PET within the French MS research community, thereby opening the unique perspective of future large-scale, multicenter studies. These endeavors are expected to enhance our capacity to predict diseases, stratify patients, and assess new therapeutic interventions.