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Towards Optimal Control of Amyloid Fibrillation.
Wang, Mengshou; Li, Gao; Peng, Liangrong; Hong, Liu.
Afiliación
  • Wang M; School of Mathematics, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
  • Li G; Fujian Engineering Research Center of New Chinese Lacquer Material, College of Material and Chemical Engineering, Minjiang University, Fuzhou, 350108, People's Republic of China.
  • Peng L; Institute of Oceanography, Minjiang University, Fuzhou, 350108, People's Republic of China.
  • Hong L; College of Mathematics and Data Science, Minjiang University, Fuzhou, 350108, People's Republic of China.
Bull Math Biol ; 85(10): 99, 2023 09 09.
Article en En | MEDLINE | ID: mdl-37688714
ABSTRACT
Epigallocatechin-3-gallate, as a representative amyloid inhibitors, has shown a promising ability against A[Formula see text] fibrillation by directly degradating the mature fibrils. Most previous studies have been focusing on its functional mechanisms, meanwhile its optimal dosage has been seldom considered. To solve this critical issue, we refer to the generalized Logistic model for amyloid fibrillation and inhibition and adopt the optimal control theory to balance the effectiveness and cost (or toxicity) of inhibitors. The optimal control trajectory of inhibitors is analytically solved, based on which the influence of model parameters, the difference between the optimal control strategy and several other traditional drug dosing strategies are systematically compared and validated through experiments. It is found that the strategy of multiple-times adding is more suitable for a long-term disease treatment, while single high-dose therapy is preferred for a short-term treatment. We hope our findings can shed light on the rational usage of amyloid inhibitors in clinic.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conceptos Matemáticos / Modelos Biológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bull Math Biol Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conceptos Matemáticos / Modelos Biológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bull Math Biol Año: 2023 Tipo del documento: Article
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