Active Brain & Nervous System Infection & Immunity

The immunopathology of multiple sclerosis

In plain English

AI plain-English summary

Multiple sclerosis traps more than 2.5 million young adults worldwide in a slow, cumulative decline because doctors cannot diagnose it early or match treatments to the disease's changing biology. The problem is twofold. First, MS symptoms are so varied and vague in the earliest stages that diagnosis is routinely delayed, costing patients precious time when treatment could slow progression. Second, no one fully understands what drives the immune system to attack the brain and spinal cord, or how those attacks evolve over years. Without that knowledge, existing treatments are blunt instruments, and most patients end up with permanent disability. This project aims to change that by watching immune cells in action at different disease stages, mapping how they interact with brain cells, and layering those observations onto genetic data from genome-wide association studies. Because treatments based on genetic associations are twice as likely to succeed, the team will use those genetic insights to guide their search. If the work succeeds, it could lead to safer, more targeted treatments that match a patient's specific immune profile and disease stage—turning MS from a one-size-fits-all guessing game into a precisely managed condition.

View original technical description
Multiple sclerosis (MS) is the most common neurological disease in young adults, afflicting more than 2.5 million people worldwide. However, it remains extremely difficult to diagnose in its earliest stages owing to the complex nature of initial symptoms. Furthermore, treatment options are constrained by our lack of understanding of what causes MS and the biological events that that may change in patients over time. Together, a significant delay in starting treatment and a lack of appropriate treatment options means that most patients experience cumulative and long-term disability. Accordingly, our research aims to study this complex disease by exploring the role of immune cells at different disease stages and under different conditions, as well as how they interact with cells within the brain and spinal cord. As treatments based on genetic associations are twice as likely to prove successful, data obtained from genome-wide association studies (GWAS) will form an integral part of our research platform. As part of a highly collaborative team of scientists and clinicians based at a world-leading university research hospital, we aim to dissect the underlying processes that control how the immune system behaves in patients at different stages of disease and how this affects cells within the brain and spinal cord. In combination with our genetic insights and experimental models, we aim to harness this new knowledge to discover better and safer treatment options for patients.

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Researchers

Lars Fugger (Principal Investigator)

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Original classification

Intramural

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