Why is your research important and how will it influence the understanding and treatment of MS?
This project has significant potential to advance medicine by addressing gaps in treatment of progressive multiple sclerosis, a stage of disease with limited therapeutic options and poor outcomes. By integrating conventional and emerging serum biomarkers, this project aims to develop a robust and pragmatic, multifactorial risk stratification tool to guide treatment decisions in progressive disease. This personalised approach has the potential to improve outcomes by identifying those most likely to benefit from disease-modifying therapies while sparing others from unnecessary treatment.
By analysing relative contributions of inflammation and neurodegeneration in individuals, this project moves beyond a clinical classification of multiple sclerosis to a more nuanced, mechanistic understanding of disease. This refined stratification will help clinicians identify the dominant drivers of progression in individuals, allowing for targeted and effective treatments. Importantly, it will also improve the design of future clinical trials by enabling better selection of participants and more sensitive outcome measures.