Combining CSF and Serum Biomarkers to Differentiate Mechanisms of Disability Worsening in Multiple Sclerosis

结合脑脊液和血清生物标志物来区分多发性硬化症致残恶化的机制

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作者:Enric Monreal,José Ignacio Fernández-Velasco,Susana Sainz de la Maza,Mercedes Espiño,Noelia Villarrubia,Ernesto Roldán-Santiago,Yolanda Aladro,Juan Pablo Cuello,Lucía Ayuso-Peralta,Alexander Rodero-Romero,Juan Luís Chico-García,Fernando Rodríguez-Jorge,Ana Quiroga-Varela,Eulalia Rodríguez-Martín,Belén Pilo de la Fuente,Guillermo Martín-Ávila,María Luisa Martínez-Ginés,José Manuel García-Domínguez,Lluïsa Rubio,Sara Llufriu,Manuel Comabella,Xavier Montalban,Gary Álvarez-Bravo,José Luís Veiga-González,Jaime Masjuan,Lucienne Costa-Frossard,Luisa María Villar

Abstract

The combined use of serum and CSF biomarkers for prognostic stratification in multiple sclerosis (MS) remains underexplored. This multicenter observational study investigated associations between serum neurofilament light chain (sNfL), glial fibrillary acidic protein (sGFAP), and CSF lipid-specific IgM oligoclonal bands (LS-OCMB) with different forms of disability worsening, such as relapse-associated worsening (RAW), active progression independent of relapse activity (aPIRA), and non-active PIRA (naPIRA). A total of 535 patients with MS were included, all sampled within one year of disease onset. Biomarkers were quantified using single-molecule array and immunoblotting techniques, and CSF cell subsets were analyzed by flow cytometry. High sNfL z-scores and LS-OCMB positivity were independently associated with increased risk of RAW and aPIRA, collectively termed inflammatory-associated worsening (IAW), while elevated sGFAP levels predicted naPIRA. Patients with both high sNfL and LS-OCMB positivity had the highest risk of IAW. Among LS-OCMB-positive patients, higher regulatory T cell percentages were associated with lower sNfL levels, suggesting a protective role. Conversely, in LS-OCMB-negative patients, sNfL levels correlated with CSF C3 concentrations. These findings support the complementary role of sNfL, sGFAP, and LS-OCMB in identifying distinct mechanisms of disease worsening and may inform early personalized management strategies in MS.

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