Journal article
The dynamics of relapses during treatment switch in relapsing-remitting multiple sclerosis
F Frascoli, I Roos, CB Malpas, T Kalincik
Journal of Theoretical Biology | Published : 2022
Abstract
Based on reported trends in relapse incidence among patients with relapsing-remitting multiple sclerosis, an original model for the response to disease modifying therapies is proposed. With a population approach and separate states for patients accounting for their risk of relapses, a system of nonlinear equations is formulated, similarly to established epidemiological models. Different parameters describe the effect of drugs and treatment switch in reducing the frequency of relapses. The model allows for a good fit to previously published data for experiments where different drugs are used. It also shows that different treatments maintain a high degree of similarity, with analogous dynamica..
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Awarded by Genzyme
Funding Acknowledgements
FF acknowledges the support from the Australian Research Council discovery project grant DP180101512. IR is supported by a MSIF-ARSEP McDonald fellowship grant and a Melbourne Research Scholarship. CM acknowledges support from a Research Fellowship from Multiple Sclerosis Research Australia. TK receives a NHMRC Early Career Fellowship, NHMRC Project Grants [1129789, 1157717] and Dame Kate Campbell Professorial Fellow-ship from the University of Melbourne. TK served on scientific advisory boards for BMS, Roche, Sanofi Genzyme, Novartis, Merck and Biogen, steering committee for Brain Atrophy Initiative by Sanofi Genzyme, received conference travel support and/or speaker honoraria from WebMD Global, Novartis, Biogen, Sanofi-Genzyme, Teva, BioCSL and Merck and received research or educational event support from Biogen, Novartis, Genzyme, Roche, Celgene and Merck. IR served on scien-tific advisory boards, received conference travel support and/or honoraria from Novartis, Merck, Biogen, Roche.