Intrathecal versus Peripheral Inflammatory Protein Profile in MS Patients at Diagnosis: A Comprehensive Investigation on Serum and CSF.
Francesco PezziniAnnalisa PisaniValentina MazziottiDamiano MarastoniAgnese TamantiEdilio BorroniStefano MagonBastian ZinnhardtRoberta MagliozziMassimiliano CalabresePublished in: International journal of molecular sciences (2023)
Intrathecal inflammation plays a key role in the pathogenesis of multiple sclerosis (MS). To better elucidate its relationship with peripheral inflammation, we investigated the correlation between cerebrospinal fluid (CSF) and serum levels of 61 inflammatory proteins. Paired CSF and serum samples were collected from 143 treatment-naïve MS patients at diagnosis. A customized panel of 61 inflammatory molecules was analyzed by a multiplex immunoassay. Correlations between serum and CSF expression levels for each molecule were performed by Spearman's method. The expression of sixteen CSF proteins correlated with their serum expression ( p -value < 0.001): only five molecules (CXCL9, sTNFR2, IFNα2, Pentraxin-3, and TSLP) showed a Rho value >0.40, suggesting moderate CSF/serum correlation. No correlation between inflammatory serum patterns and Q alb was observed. Correlation analysis of serum expression levels of these sixteen proteins with clinical and MRI parameters pinpointed a subset of five molecules (CXCL9, sTNFR2, IFNα2, IFNβ, and TSLP) negatively correlating with spinal cord lesion volume. However, following FDR correction, only the correlation of CXCL9 remained significant. Our data support the hypothesis that the intrathecal inflammation in MS only partially associates with the peripheral one, except for the expression of some immunomodulators that might have a key role in the initial MS immune response.
Keyphrases
- white matter
- multiple sclerosis
- poor prognosis
- oxidative stress
- immune response
- cerebrospinal fluid
- mass spectrometry
- end stage renal disease
- spinal cord
- binding protein
- ejection fraction
- ms ms
- dendritic cells
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- long non coding rna
- magnetic resonance
- spinal cord injury
- deep learning
- big data
- contrast enhanced
- high resolution
- sensitive detection
- high intensity