Inflammatory and neurodegenerative serum protein biomarkers increase sensitivity to detect clinical and radiographic disease activity in multiple sclerosis

The multifaceted nature of multiple sclerosis requires quantitative biomarkers that can provide insights related to diverse physiological pathways. To this end, proteomic analysis of deeply-phenotyped serum samples, biological pathway modeling, and network analysis were performed to elucidate inflam...

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Veröffentlicht in:Nature communications Jg. 15; H. 1; S. 4297 - 12
Hauptverfasser: Chitnis, Tanuja, Qureshi, Ferhan, Gehman, Victor M., Becich, Michael, Bove, Riley, Cree, Bruce A. C., Gomez, Refujia, Hauser, Stephen L., Henry, Roland G., Katrib, Amal, Lokhande, Hrishikesh, Paul, Anu, Caillier, Stacy J., Santaniello, Adam, Sattarnezhad, Neda, Saxena, Shrishti, Weiner, Howard, Yano, Hajime, Baranzini, Sergio E.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 20.05.2024
Nature Publishing Group
Nature Portfolio
Schlagworte:
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Adult
Autoimmune diseases
Biomarkers
Biomarkers - blood
Blood Proteins - analysis
Cohort Studies
Female
Gadolinium
Humanities and Social Sciences
Humans
Inflammation
Inflammation - blood
Magnetic Resonance Imaging - methods
Male
Middle Aged
Modelling
multidisciplinary
Multiple sclerosis
Multiple Sclerosis - blood
Multiple Sclerosis - diagnostic imaging
Network analysis
Neurofilament Proteins - blood
Proteins
Proteomics
Proteomics - methods
Science
Science (multidisciplinary)
Serum proteins
ISSN:2041-1723, 2041-1723
Online-Zugang:Volltext
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Zusammenfassung:The multifaceted nature of multiple sclerosis requires quantitative biomarkers that can provide insights related to diverse physiological pathways. To this end, proteomic analysis of deeply-phenotyped serum samples, biological pathway modeling, and network analysis were performed to elucidate inflammatory and neurodegenerative processes, identifying sensitive biomarkers of multiple sclerosis disease activity. Here, we evaluated the concentrations of > 1400 serum proteins in 630 samples from three multiple sclerosis cohorts for association with clinical and radiographic new disease activity. Twenty proteins were associated with increased clinical and radiographic multiple sclerosis disease activity for inclusion in a custom assay panel. Serum neurofilament light chain showed the strongest univariate correlation with gadolinium lesion activity, clinical relapse status, and annualized relapse rate. Multivariate modeling outperformed univariate for all endpoints. A comprehensive biomarker panel including the twenty proteins identified in this study could serve to characterize disease activity for a patient with multiple sclerosis. Inflammatory and degenerative processes are thought to play a role in the pathophysiology of multiple sclerosis. Here, the authors identified twenty serum proteins associated with increased clinical and radiographic disease activity.
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ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-48602-9