Parkinson's disease (PD) is the second most common neurodegenerative disorder worldwide, yet there is no disease-modifying therapy up to this date. The biological complexity underlying PD hampers the investigation of the principal contributors to its pathogenesis. In this context, mechanistic models grounded in molecular-level knowledge provide virtual labs to uncover the primary events triggering PD onset and progression and suggest promising therapeutic targets. Multiple modeling efforts in PD research have focused on the pathological role of alpha-synuclein (alpha syn), a presynaptic protein that emerges from the intricate molecular network as a crucial driver of neurodegeneration. Here, we collect the advances in mathematical modeling of alpha syn homeostasis, focusing on aggregation and degradation pathways, and discussing potential modeling improvements and possible implications in PD therapeutic strategy design.

Mechanistic models of α-synuclein homeostasis for Parkinson's disease: A blueprint for therapeutic intervention / Righetti, Elena; Antonello, Alice; Marchetti, Luca; Domenici, Enrico; Reali, Federico. - In: FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS. - ISSN 2297-4687. - 2022, 8:(2022), pp. 1-15. [10.3389/fams.2022.1060489]

Mechanistic models of α-synuclein homeostasis for Parkinson's disease: A blueprint for therapeutic intervention

Righetti, Elena;Marchetti, Luca;Domenici, Enrico;Reali, Federico
2022-01-01

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disorder worldwide, yet there is no disease-modifying therapy up to this date. The biological complexity underlying PD hampers the investigation of the principal contributors to its pathogenesis. In this context, mechanistic models grounded in molecular-level knowledge provide virtual labs to uncover the primary events triggering PD onset and progression and suggest promising therapeutic targets. Multiple modeling efforts in PD research have focused on the pathological role of alpha-synuclein (alpha syn), a presynaptic protein that emerges from the intricate molecular network as a crucial driver of neurodegeneration. Here, we collect the advances in mathematical modeling of alpha syn homeostasis, focusing on aggregation and degradation pathways, and discussing potential modeling improvements and possible implications in PD therapeutic strategy design.
2022
Righetti, Elena; Antonello, Alice; Marchetti, Luca; Domenici, Enrico; Reali, Federico
Mechanistic models of α-synuclein homeostasis for Parkinson's disease: A blueprint for therapeutic intervention / Righetti, Elena; Antonello, Alice; Marchetti, Luca; Domenici, Enrico; Reali, Federico. - In: FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS. - ISSN 2297-4687. - 2022, 8:(2022), pp. 1-15. [10.3389/fams.2022.1060489]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/365399
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