Combining CSF and Serum Biomarkers to Differentiate Mechanisms of Disability Worsening in Multiple Sclerosis
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...
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Published in | International journal of molecular sciences Vol. 26; no. 14; p. 6898 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Language | English |
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ISSN | 1422-0067 1661-6596 1422-0067 |
DOI | 10.3390/ijms26146898 |
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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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AbstractList | 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. 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.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. |
Audience | Academic |
Author | Chico-García, Juan Luís Cuello, Juan Pablo Costa-Frossard, Lucienne Rodríguez-Jorge, Fernando Ayuso-Peralta, Lucía Comabella, Manuel Rodero-Romero, Alexander Martínez-Ginés, María Luisa Quiroga-Varela, Ana Martín-Ávila, Guillermo Villarrubia, Noelia García-Domínguez, José Manuel Rubio, Lluïsa Rodríguez-Martín, Eulalia Aladro, Yolanda Álvarez-Bravo, Gary Monreal, Enric Fernández-Velasco, José Ignacio Montalban, Xavier Pilo de la Fuente, Belén Llufriu, Sara Veiga-González, José Luís Masjuan, Jaime Espiño, Mercedes Sainz de la Maza, Susana Roldán-Santiago, Ernesto Villar, Luisa María |
AuthorAffiliation | 6 Neuroimmunology and Multiple Sclerosis Unit, Neurodegeneration and Neuroinflammation Research Group, Girona Biomedical Research Institute (IDIBGI), Dr. Josep Trueta University Hospital, 17001 Catalonia, Spain 9 Servei de Neurologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d’Hebrón (VHIR), Hospital Universitari Vall d’Hebrón, Universitat Autònoma de Barcelona, 08907 Barcelona, Spain 5 Department of Neurology, Hospital Universitario Príncipe de Asturias, 28805 Alcalá de Henares, Spain 3 Department of Neurology, Hospital Universitario Getafe, Universidad Europea de Madrid, 28905 Madrid, Spain 1 Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain; enricmonreal@outlook.com (E.M.) 2 Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflam |
AuthorAffiliation_xml | – name: 7 Department of Medical Sciences, School of Medicine, University of Girona, 17001 Girona, Spain – name: 3 Department of Neurology, Hospital Universitario Getafe, Universidad Europea de Madrid, 28905 Madrid, Spain – name: 4 Department of Neurology, Hospital Universitario Gregorio Marañón, 28007 Madrid, Spain – name: 5 Department of Neurology, Hospital Universitario Príncipe de Asturias, 28805 Alcalá de Henares, Spain – name: 9 Servei de Neurologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d’Hebrón (VHIR), Hospital Universitari Vall d’Hebrón, Universitat Autònoma de Barcelona, 08907 Barcelona, Spain – name: 1 Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain; enricmonreal@outlook.com (E.M.) – name: 2 Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain – name: 6 Neuroimmunology and Multiple Sclerosis Unit, Neurodegeneration and Neuroinflammation Research Group, Girona Biomedical Research Institute (IDIBGI), Dr. Josep Trueta University Hospital, 17001 Catalonia, Spain – name: 8 Neuroimmunology and Multiple Sclerosis Unit, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, 08036 Barcelona, Spain |
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Keywords | progression intrathecal IgM synthesis neurofilament light chain glial fibrillary acidic protein multiple sclerosis |
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Title | Combining CSF and Serum Biomarkers to Differentiate Mechanisms of Disability Worsening in Multiple Sclerosis |
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