Abstract
Understanding complex diseases such as multiple sclerosis (MS) requires the integration of information from different levels at various times. Key information that must be integrated includes genetic background, environmental exposure, the state of sensitization of the immune system , and the state of cross-talk between the immune system and central nervous system (CNS). In order to achieve this goal, it will be necessary to relate all cellular and molecular events to changes in the tissue and organs and to map these changes on to imaging studies and on to assessment of the clinical course. This represents a difficult challenge for brain diseases because of the practical difficulties in obtaining accurate molecular and cellular information from the CNS in different diseases. In the study of MS, cellular and molecular biology and the new “omics” (genomics, transcriptomics, proteomics, lipidomics, metabolomics, etc.) have identified possible pathways involved in the course of disease; yet an integrative understanding of the pathogenesis is still lacking.
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Villoslada, P., Steinman, L. (2013). Systems Biology for the Study of Multiple Sclerosis. In: Yamamura, T., Gran, B. (eds) Multiple Sclerosis Immunology. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7953-6_12
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DOI: https://doi.org/10.1007/978-1-4614-7953-6_12
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