Ocrelizumab Effects on the Metabolome in MS

In this observational study, the investigators aim to recruit 50 patients over an 10-12 month period. The investigators will recruit patients with relapsing-remitting MS (based on 2017 McDonald Criteria) beginning treatment with ocrelizumab and fulfilling study inclusion and exclusion criteria. Participants recruited in this study will be participants in the Johns Hopkins MS Precision Medicine Center of Excellence bio-banking protocol which requires collection of serum and plasma at 6-monthly intervals and hence will have blood collection performed prior to Ocrevus start and then at 6, 12, 18 and 24 months following ocrelizumab initiation as part of the bio-banking protocol. All recruited participants will provide written informed consent. The investigators will collect demographic and clinical characteristics at baseline and update these at follow-up visits. These will include disease duration, co-morbidities, relapses, treatment status and history. The investigators will also collect physiological variables - height and weight at each visit. All recruited patients will return for follow up visits at 6,12, 18 and 24 months post-ocrelizumab initiation. At each visit patients will undergo the following evaluations - EDSS, MSFC, SDMT, fatigue scale (MFIS), quality of life measure (MS-QOL), depression scale (Beck depression inventory, 2nd version) and Block Food Frequency Questionnaire. The investigators will then utilize plasma collected at the various time points to perform global metabolomics analysis. This will yield measures of various metabolites in the circulation, including amino acids and metabolites of the amino acids. The investigators will utilize this data to determine the change in the circulating metabolome produced by treatment with ocrelizumab. Following this the investigators will assess changes in the various clinical measures collected - disability (EDSS, MSFC), cognition (SDMT), mood (BDI-II), fatigue (MFIS) and quality of life (MS-QOL) with Ocrelizumab treatment and correlate these with the changes noted in the metabolome. This approach will allow us to determine whether the metabolic changes are associated with/ could underlie the changes noted in clinical measures.