With labeling discussions begun for TG Therapeutics Inc.’s ublituximab to treat relapsing multiple sclerosis, Wall Street was optimistic about the PDUFA date of Dec. 28 assigned to the glycoengineered CD20 monoclonal antibody. Shares of New York-based TG (NASDAQ:TGTX) closed Nov. 11 at $9.34, up 91 cents, or 10.8%, having risen more than 52% over the previous five days. With late-cycle review talks with the U.S. FDA done, ublituximab seemed well on its way.
Researchers from Washington University presented data from a study that aimed to identify myeloid-derived suppressor cell (MDSC) markers in patients with multiple sclerosis (MS).
G protein-coupled receptor 183 (GPR183/EBI2) is one of the key regulators of the innate immune system, and it has been shown to be upregulated in multiple sclerosis (MS) plaques. In a recently reported study, researchers from Medical University of Gdansk evaluated the effects of pharmacological modulation of GPR183 signaling on remyelination.
Dimethylfumarate (DMF) is largely used for treating multiple sclerosis (MS), but about 61% of DMF-treated patients develop lymphopenia, with its consequent associated risks. Biomarkers for monitoring treatment efficacy with DMF in patients with MS would be helpful in this field.
Spanish researchers at Hospital Universitario La Paz have aimed to investigate the correlation between extracellular vesicles (EVs) from the immune and nervous system with the diagnosis and disease activity of multiple sclerosis (MS). EVs were isolated and collected from 86 patients with MS and 29 healthy controls from their neurons, oligodendrocytes and B and T lymphocytes.
Multiple sclerosis (MS) is an inflammatory disease affecting the central nervous system that causes damage to myelin, neurons and axons, and which results in neurodegeneration. Identification of useful blood biomarkers for MS is still a challenge.
The failure to remyelinate neurons following an attack is one of the major characteristics of multiple sclerosis (MS) ultimately causing the progressive loss of neurological dysfunction.
Biogen Inc. presented new data showing how applying artificial intelligence (AI), machine learning (ML) and radiomics can produce actionable insights on multiple sclerosis (MS) disease progression. The results, released at this week’s European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Congress, could help to advance new digital health tools to improve monitoring and quality of life of MS patients.