Objective Pivotal trial have shown that patients with multiple sclerosis (MS) receiving ocrelizumab had better outcomes. However, data on ocrelizumab in clinical practice are limited. The aim of this study was to evaluate the preliminary safety profile and effectiveness of ocrelizumab treatment for multiple sclerosis (MS) in a real‐world clinical setting. Methods We conducted a retrospective study including consecutive patients from nine public hospitals in south‐eastern Spain who received ocrelizumab after it was approved. Results A total of 228 MS patients were included (144 with relapsing–remitting MS [RRMS], 25 secondary progressive MS [SPMS], and 59 primary progressive MS [PPMS]). Median follow‐up period was 12 months (range, 1‐32). No evidence of disease activity (NEDA) status at year 1 was achieved in 91.2% of the relapsing MS (RMS) population, while disability progression was detected in 37.5% of the PPMS patients (median follow‐up period, 19 months). The most common adverse events reported were infusion‐related reactions and infections, with the most common infections being urinary tract infections followed by upper respiratory infections and COVID‐19. Interpretation The preliminary results in our real‐world setting show that ocrelizumab presented excellent results in suppressing disease activity with a favorable and consistent safety profile.

Background: The influence of the microbiome on neurological diseases has been studied for years. Recent findings have shown a different composition of gut microbiota detected in patients with multiple sclerosis (MS). The role of this dysbiosis is still unknown. Objective: We analyzed the gut microbiota of 15 patients with active relapsing-remitting multiple sclerosis (RRMS), comparing with diet-matched healthy controls. Method: To determine the composition of the gut microbiota, we performed high-throughput sequencing of the 16S ribosomal RNA gene. The specific amplified sequences were in the V3 and V4 regions of the 16S ribosomal RNA gene. Results: The gut microbiota of RRMS patients differed from healthy controls in the levels of the Lachnospiraceae, Ezakiella, Ruminococcaceae, Hungatella, Roseburia, Clostridium, Shuttleworthia, Poephyromonas, and Bilophila genera. All these genera were included in a logistic regression analysis to determine the sensitivity and the specificity of the test. Finally, the ROC (receiver operating characteristic) and AUC with a 95% CI were calculated and best-matched for Ezakiella (AUC of 75.0 and CI from 60.6 to 89.4) and Bilophila (AUC of 70.2 and CI from 50.1 to 90.4). Conclusions: There is a dysbiosis in the gut microbiota of RRMS patients. An analysis of the components of the microbiota suggests the role of some genera as a predictive factor of RRMS prognosis and diagnosis.