Abstract：
:Despite intense research, few treatments are available for most neurological disorders. Demyelinating diseases are no exception. This is perhaps not surprising considering the multifactorial nature of these diseases, which involve complex interactions between immune system cells, glia and neurons. In the case of multiple sclerosis, for example, there is no unanimity among researchers about the cause or even which system or cell type could be ground zero. This situation precludes the development and strategic application of mechanism-based therapies. We will discuss how computational modeling applied to questions at different biological levels can help link together disparate observations and decipher complex mechanisms whose solutions are not amenable to simple reductionism. By making testable predictions and revealing critical gaps in existing knowledge, such models can help direct research and will provide a rigorous framework in which to integrate new data as they are collected. Nowadays, there is no shortage of data; the challenge is to make sense of it all. In that respect, computational modeling is an invaluable tool that could, ultimately, transform how we understand, diagnose, and treat demyelinating diseases.
journal_name
Int J Mol Scijournal_title
International journal of molecular sciencesauthors
Coggan JS,Bittner S,Stiefel KM,Meuth SG,Prescott SAdoi
10.3390/ijms160921215subject
Has Abstractpub_date
2015-09-07 00:00:00pages
21215-36issue
9issn
1422-0067pii
ijms160921215journal_volume
16pub_type
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