Smoldering Inflammation in MS

The goal of this observational study is to learn about inflammation in those with relapsing remitting Multiple Sclerosis (MS). The main questions it aims to answer are: * How does abnormal neural inflammation compare to cellular and molecular inflammation in MS? * Once treated, why does abnormal inflammation persist?

The purpose of this study is to combine multi-tracer PET and high-resolution CSF analysis to understand the inflammatory landscape of MS and to identify components of inflammation which do not resolve with high-efficacy DMT and are hypothesized to drive disability accumulation via smoldering inflammation. Identification of components of the pathologic cascade which do not respond to extant therapies will motivate future, complementary therapies targeted at yet untreated MS pathology. Current MS disease modifying therapies (DMT) focus on reducing the inflammatory or auto-immune component of the disease. Highly effective DMTs are incredibly effective at reducing this inflammation such that new lesions and clinical relapses are increasingly rare. However, despite these advances, most patients will experience clinical worsening independent of relapse activity. This eventually manifests as progressive MS and stubbornly resists therapy. One hypothesized driver of this clinical progression is smoldering inflammation. Smoldering inflammation is defined as ongoing inflammation sufficient to cause accumulating tissue injury but insufficient to cause clinical relapse. The nature of this smoldering inflammation is poorly understood. Emerging imaging biomarkers have identified smoldering inflammation, but those markers are not well-linked to cellular mechanisms. A key innovation of this approach is that, by comparing pre- vs. post-treatment single-cell RNA sequencing data, the researchers will identify cell populations that are most sensitive and resistant to treatment and relate these findings to imaging changes. Identifying components of persistent inflammation may identify future treatment targets. 25 adult patients with relapsing remitting multiple sclerosis will be enrolled in this study. Patients will be recruited from the John L. Trotter MS Center at Washington University in St. Louis. Participants will be referred to the study by their treating neurologist. \[11C\]-CS1P1 and \[11C\]-DPA-713 are the investigational radiotracers used in this study. Participation in this study consists of several visits. Visits include 1) (pre-)screening and clinical, 2) baseline lumbar puncture, 3) baseline \[11C\]-DPA-713 PET/CT, 4) baseline \[11C\]-CS1P1 PET/CT, 5) baseline \[18F\]-FDG PET/MRI, 6) follow-up lumbar puncture, 7) follow-up \[11C\]-DPA-713 PET/CT, 8) follow-up \[11C\]-CS1P1 PET/CT, and 9) follow-up \[18F\]-FDG PET/MRI. Baseline and follow-up visits of the same type (e.g., steps 3 and 7) are identical with baseline occurring at enrollment and follow-up occurring at least nine months but no more than 12 months after DMT initiation. Screening session must precede the clinical sessions. At each the baseline and follow-up time point, the lumbar puncture and each imaging session may occur in any order. At baseline and follow up, all sessions will take place within approximately 1 month. Multiple sessions can occur on the same day. Consecutive imaging sessions will be separated by 6 half-lives of the initially injected radiotracer. This pilot study will link the molecular specificity and high spatial resolution of combined positron emission tomography and magnetic resonance imaging with the molecular explanatory power of single-cell RNA sequencing to investigate the effects of B cell depletion, or other similarly efficacious treatments, on smoldering inflammation and characterize the nature of persistent inflammation which contributes to disability in patients with MS. A key innovation of this approach is that, by comparing pre- vs. post-treatment single-cell RNA sequencing data, researchers will identify cell populations that are most sensitive and resistant to treatment and relate these findings to imaging changes. Identifying components of persistent inflammation may identify future treatment targets.