Significant advances have been made in the diagnosis and treatment of multiple sclerosis in recent years yet challenges remain. The current classification of MS phenotypes according to disease activity and progression, for example, does not adequately reflect the underlying pathophysiological mechanisms that may be acting in an individual with MS at different time points. Thus, there is a need for clinicians to transition to a management approach based on the underlying pathophysiological mechanisms that drive disability in MS. A Canadian expert panel convened in January 2023 to discuss priorities for clinical discovery and scientific exploration that would help advance the field. Five key areas of focus included: identifying a mechanism-based disease classification system; developing biomarkers (imaging, fluid, digital) to identify pathologic processes; implementing a data-driven approach to integrate genetic/environmental risk factors, clinical findings, imaging and biomarker data, and patient-reported outcomes to better characterize the many factors associated with disability progression; utilizing precision-based treatment strategies to target different disease processes; and potentially preventing disease through Epstein-Barr virus (EBV) vaccination, counselling about environmental risk factors (e.g. obesity, exercise, vitamin D/sun exposure, smoking) and other measures. Many of the tools needed to meet these needs are currently available. Further work is required to validate emerging biomarkers and tailor treatment strategies to the needs of individual patients. The hope is that a more complete view of the individual's pathobiology will enable clinicians to usher in an era of truly personalized medicine, in which more informed treatment decisions throughout the disease course achieve better long-term outcomes.
Keyphrases
- multiple sclerosis
- epstein barr virus
- patient reported outcomes
- risk factors
- disease activity
- mass spectrometry
- white matter
- diffuse large b cell lymphoma
- systemic lupus erythematosus
- high resolution
- ms ms
- end stage renal disease
- ejection fraction
- insulin resistance
- ankylosing spondylitis
- chronic kidney disease
- machine learning
- smoking cessation
- type diabetes
- squamous cell carcinoma
- newly diagnosed
- metabolic syndrome
- dna methylation
- adipose tissue
- electronic health record
- body mass index
- lymph node
- big data
- locally advanced
- photodynamic therapy
- deep learning
- rectal cancer
- copy number
- men who have sex with men
- hiv infected
- current status
- human immunodeficiency virus