Journal Title : Development of Aβ and anti-Aβ dynamics models for Alzheimer’s disease

Author : Cindyawati Cindyawati, Faozan Ahmad, Hendradi Hardhienata, Agus Kartono

A recent computational study has developed a mathematical model to better understand how Alzheimer’s disease progresses and how anti-Aβ drug therapy interacts with the brain’s immune response. The simulations reveal that while drug therapy can effectively reduce amyloid-beta (Aβ) plaque deposits, its impact diminishes after approximately four months, suggesting a need for further drug development. The findings highlight the complex relationship between plaque accumulation, inflammation, and treatment response, offering new insights for improving Alzheimer’s therapies.

This research supports SDG 3 by advancing treatment strategies for neurodegenerative diseases. It also aligns with SDG 9 by leveraging computational modeling to drive medical innovation. Additionally, it contributes to SDG 4 by enhancing scientific knowledge of Alzheimer’s disease, which can aid researchers and medical professionals in developing more effective treatments.

Source : https://doi.org/10.1515/cmb-2024-0008

Topics / Keywords : Alzheimer, amyloid-beta (Aβ), drug therapy, immune system, ordinary differential equation