Signaling networks in MS: a systems-based approach to developing new pharmacological therapies

Item Type:	Article
Title:	Signaling networks in MS: a systems-based approach to developing new pharmacological therapies
Creators Name:	Kotelnikova, E. and Bernardo-Faura, M. and Silberberg, G. and Kiani, N.A. and Messinis, D. and Melas, I.N. and Artigas, L. and Schwartz, E. and Mazo, I. and Masso, M. and Alexopoulos, L.G. and Mas, J.M. and Olsson, T. and Tegner, J. and Martin, R. and Zamora, A. and Paul, F. and Saez-Rodriguez, J. and Villoslada, P.
Abstract:	The pathogenesis of multiple sclerosis (MS) involves alterations to multiple pathways and processes, which represent a significant challenge for developing more-effective therapies. Systems biology approaches that study pathway dysregulation should offer benefits by integrating molecular networks and dynamic models with current biological knowledge for understanding disease heterogeneity and response to therapy. In MS, abnormalities have been identified in several cytokine-signaling pathways, as well as those of other immune receptors. Among the downstream molecules implicated are Jak/Stat, NF-Kb, ERK1/3, p38 or Jun/Fos. Together, these data suggest that MS is likely to be associated with abnormalities in apoptosis/cell death, microglia activation, blood-brain barrier functioning, immune responses, cytokine production, and/or oxidative stress, although which pathways contribute to the cascade of damage and can be modulated remains an open question. While current MS drugs target some of these pathways, others remain untouched. Here, we propose a pragmatic systems analysis approach that involves the large-scale extraction of processes and pathways relevant to MS. These data serve as a scaffold on which computational modeling can be performed to identify disease subgroups based on the contribution of different processes. Such an analysis, targeting these relevant MS-signaling pathways, offers the opportunity to accelerate the development of novel individual or combination therapies.
Keywords:	Multiple Sclerosis, Pathways, Signaling, Systems Biology, Drug Discovery
Source:	Multiple Sclerosis Journal
ISSN:	1352-4585
Publisher:	Sage Publications
Volume:	21
Number:	2
Page Range:	138-146
Date:	February 2015
Official Publication:	https://doi.org/10.1177/1352458514543339
PubMed:	View item in PubMed

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