Serum proteomics in multiple sclerosis disease progression

Journal of Proteomics
Helen TremlettGabriela V Cohen Freue

Abstract

Multiple sclerosis (MS) is associated with chronic degeneration of the central nervous system and may cause permanent neurological problems and considerable disability. While its causes remain unclear, its extensive phenotypic variability makes its prognosis and treatment difficult. The identification of serum proteomic biomarkers of MS progression could further our understanding of the molecular mechanisms related to MS disease processes. In the current study, we used isobaric tagging for relative and absolute protein quantification (iTRAQ) methodology and advanced multivariate statistical analysis to quantify and identify potential serum biomarker proteins of MS progression. We identified a panel of 11 proteins and combined them into a classifier that best classified samples into the two disease groups. The estimated area under the receiver operating curve of this classifier was 0.88 (p-value=0.017), with 86% sensitivity and specificity. The identified proteins encompassed processes related to inflammation, opsonization, and complement activation. Results from this study are in particular valuable to design a targeted Multiple Reaction Monitoring mass spectrometry based (MRM-MS) assay to conduct an external validation in an i...Continue Reading

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Citations

Jan 14, 2016·Journal of Proteome Research·Teklab GebregiworgisRobert Powers
Nov 10, 2017·Mass Spectrometry Reviews·Robert MoulderRiitta Lahesmaa
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Jul 25, 2021·International Journal of Molecular Sciences·Monokesh K SenJens R Coorssen
Sep 6, 2020·Biomedicine & Pharmacotherapy = Biomédecine & Pharmacothérapie·Ting YangWeihong Ge

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