Could Mathematics be the Key to Unlocking the Mysteries of Multiple Sclerosis?
Mathematical modelling
Multiple sclerosis
Journal
Bulletin of mathematical biology
ISSN: 1522-9602
Titre abrégé: Bull Math Biol
Pays: United States
ID NLM: 0401404
Informations de publication
Date de publication:
29 06 2023
29 06 2023
Historique:
received:
26
03
2023
accepted:
19
06
2023
medline:
3
7
2023
pubmed:
29
6
2023
entrez:
29
6
2023
Statut:
epublish
Résumé
Multiple sclerosis (MS) is an autoimmune, neurodegenerative disease that is driven by immune system-mediated demyelination of nerve axons. While diseases such as cancer, HIV, malaria and even COVID have realised notable benefits from the attention of the mathematical community, MS has received significantly less attention despite the increasing disease incidence rates, lack of curative treatment, and long-term impact on patient well-being. In this review, we highlight existing, MS-specific mathematical research and discuss the outstanding challenges and open problems that remain for mathematicians. We focus on how both non-spatial and spatial deterministic models have been used to successfully further our understanding of T cell responses and treatment in MS. We also review how agent-based models and other stochastic modelling techniques have begun to shed light on the highly stochastic and oscillatory nature of this disease. Reviewing the current mathematical work in MS, alongside the biology specific to MS immunology, it is clear that mathematical research dedicated to understanding immunotherapies in cancer or the immune responses to viral infections could be readily translatable to MS and might hold the key to unlocking some of its mysteries.
Identifiants
pubmed: 37382681
doi: 10.1007/s11538-023-01181-0
pii: 10.1007/s11538-023-01181-0
pmc: PMC10310626
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
75Informations de copyright
© 2023. The Author(s).
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