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Published on: September 21, 2021
Intrathecal Inflammatory Profile and Gray Matter Damage Predict Progression Independent of Relapse Activity in Early
Damiano Marastoni1, Elisa Colato1,2,3, Matteo Foschi4,5
1Neurology B, Department of Neurosciences, University of Verona, Italy.
Background And Objectives:
The objective of this study was to determine, at the time of diagnosis, a CSF and MRI profile of intrathecal compartmentalized inflammation predictive of progression independent of relapse activity (PIRA) in early relapsing-remitting multiple sclerosis (RRMS).
Methods:
This five-year prospective study included 80 treatment-naïve patients with RRMS enrolled at time of diagnosis. All patients underwent a lumbar puncture, regular neurologic evaluations including an Expanded Disability Status Scale (EDSS) assessment every 6 months, and an annual 3T brain MRI. PIRA was defined as having a confirmed disability progression independent of relapse activity. CSF levels of 68 inflammatory molecules were evaluated in combination with white matter and cortical lesion number (CLn) and volume, and regional gray matter thickness and volume.
Results:
During the follow-up, 23 patients with RRMS (28.8%) experienced PIRA. At diagnosis, participants with PIRA were older (44.0 ± 10.7 vs 37.4 ± 12.4, p = 0.017) and with more disability (median EDSS score [interquartile range] of 3 [range 2-4] for PIRA vs 1.5 [range 1-2] for no PIRA group, p < 0.001). Random forest selected LIGHT, CXCL13, sTNFR1, sTNFR2, CCL7, MIF, sIL6Rbeta, IL35, CCL2, and IFNβ as the CSF markers best associated with PIRA. sTNFR1 (hazard ratio [HR] 10.11 [2.61-39.10], p = 0.001), sTNFR2 (HR 5.05 [1.63-15.64], p = 0.005), and LIGHT (HR 1.79 [1.11-2.88], p = 0.018) were predictors of PIRA at regression analysis. Baseline thalamus volume (HR 0.98 [0.97-0.99], p = 0.005), middle frontal gyrus thickness (HR 0.05 [0.01-0.72], p = 0.028), and CLn (HR 1.15 [1.05-1.25], p = 0.003) were MRI predictors of PIRA.
Discussion:
A specific intrathecal inflammatory profile associated with TNF superfamily markers, CLn, and atrophy of several cortical and deep gray matter regions, assessed at time of diagnosis, is predictive of PIRA in early MS.
Insights
Early multiple sclerosis patients with specific inflammatory markers in cerebrospinal fluid (CSF) and MRI findings indicating brain atrophy are at higher risk for progression independent of relapse activity (PIRA). This profile aids in predicting disease worsening at diagnosis.
Area of Science:
- Neuroimmunology
- Neurology
- Radiology
Background:
- Relapsing-remitting multiple sclerosis (RRMS) is characterized by unpredictable relapses and progressive disability.
- Progression independent of relapse activity (PIRA) represents a significant challenge in managing MS, as it indicates disability accumulation unrelated to clinical relapses.
- Identifying early predictors of PIRA is crucial for timely therapeutic intervention and personalized treatment strategies.
Purpose of the Study:
- To identify a predictive profile for Progression Independent of Relapse Activity (PIRA) in early relapsing-remitting multiple sclerosis (RRMS) at the time of diagnosis.
- To correlate cerebrospinal fluid (CSF) inflammatory markers and Magnetic Resonance Imaging (MRI) features with PIRA development.
- To establish an early diagnostic tool for predicting long-term disability in RRMS patients.
Main Methods:
- A five-year prospective study involving 80 treatment-naïve RRMS patients.
- Collection of CSF for analysis of 68 inflammatory molecules, alongside regular neurological assessments (including EDSS) and annual 3T brain MRIs.
- Definition of PIRA as confirmed disability progression independent of relapse activity.
Main Results:
- 28.8% of RRMS patients developed PIRA within five years.
- Older age and higher baseline EDSS scores were associated with PIRA.
- Key CSF markers (e.g., sTNFR1, sTNFR2, LIGHT) and MRI findings (thalamus volume, middle frontal gyrus thickness, cortical lesion number) predicted PIRA development.
Conclusions:
- A distinct intrathecal inflammatory profile, including TNF superfamily markers, combined with MRI-detected white matter lesions and gray matter atrophy, can predict PIRA in early MS.
- These findings highlight the importance of assessing both inflammatory markers and structural brain changes at diagnosis.
- The identified profile offers a potential tool for early risk stratification and personalized management of RRMS patients.
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