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Criterion for Assessing Accumulated Neurotoxicity of Alpha‐Synuclein Oligomers in Parkinson's Disease

Andrey V. Kuznetsov

International Journal for Numerical Methods in Biomedical Engineering · 2025 · ▲ 9 citations

Abstract

The paper introduces a parameter called "accumulated neurotoxicity" of α-syn oligomers, which measures the cumulative damage these toxic species inflict on neurons over time, given the years it typically takes for such damage to manifest. A threshold value for accumulated neurotoxicity is estimated, beyond which neuron death is likely. Numerical results suggest that rapid deposition of α-syn oligomers into fibrils minimizes neurotoxicity, indicating that the formation of Lewy bodies might play a neuroprotective role. Strategies such as reducing α-syn monomer production or enhancing degradation can decrease accumulated neurotoxicity. In contrast, slower degradation (reflected by longer half-lives of monomers and free aggregates) increases neurotoxicity, supporting the idea that impaired protein degradation may contribute to Parkinson's disease progression. Accumulated neurotoxicity is highly sensitive to the half-deposition time of free α-syn aggregates into fibrils, exhibiting a sharp increase as it transitions from negligible to elevated levels, indicative of neural damage.

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Provenance

Source
OpenAlex
DOI
10.1002/cnm.70027
Canonical
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Fetched
2026-10-21 MST

Cite this

APA
Kuznetsov, A.V. (2025). Criterion for Assessing Accumulated Neurotoxicity of Alpha‐Synuclein Oligomers in Parkinson's Disease. <em>International Journal for Numerical Methods in Biomedical Engineering</em>. https://doi.org/10.1002/cnm.70027
Vancouver
Kuznetsov AV. Criterion for Assessing Accumulated Neurotoxicity of Alpha‐Synuclein Oligomers in Parkinson's Disease. International Journal for Numerical Methods in Biomedical Engineering. 2025. doi:10.1002/cnm.70027.
BibTeX
@article{andrey2025Criter, title = {Criterion for Assessing Accumulated Neurotoxicity of Alpha‐Synuclein Oligomers in Parkinson's Disease}, author = {Andrey V. Kuznetsov}, journal = {International Journal for Numerical Methods in Biomedical Engineering}, year = {2025}, doi = {10.1002/cnm.70027}, }

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