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

Serum proteomic analysis of deeply-phenotyped samples, biological pathway modeling and network analysis were performed to elucidate the inflammatory and neurodegenerative processes of multiple sclerosis (MS) and identify sensitive biomarkers of MS disease activity (DA). Over 1100 serum proteins were...

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Vydané v:medRxiv : the preprint server for health sciences
Hlavní autori: 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
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 03.07.2023
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Shrnutí:Serum proteomic analysis of deeply-phenotyped samples, biological pathway modeling and network analysis were performed to elucidate the inflammatory and neurodegenerative processes of multiple sclerosis (MS) and identify sensitive biomarkers of MS disease activity (DA). Over 1100 serum proteins were evaluated in >600 samples from three MS cohorts to identify biomarkers of clinical and radiographic (gadolinium-enhancing lesions) new MS DA. Protein levels were analyzed and associated with presence of gadolinium-enhancing lesions, clinical relapse status (CRS), and annualized relapse rate (ARR) to create a custom assay panel. Twenty proteins were associated with increased clinical and radiographic MS DA. Serum neurofilament light chain (NfL) showed the strongest univariate correlation with radiographic and clinical DA measures. Multivariate modeling significantly outperformed univariate NfL to predict gadolinium lesion activity, CRS and ARR. These findings provide insight regarding correlations between inflammatory and neurodegenerative biomarkers and clinical and radiographic MS DA. Octave Bioscience, Inc (Menlo Park, CA).
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Working Paper/Pre-Print-1
ObjectType-Feature-3
content type line 23
DOI:10.1101/2023.06.28.23291157