Simulating growth of TDP-43 cytosolic inclusion bodies in neuron soma DOI Creative Commons
A. V. Kuznetsov

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 30, 2023

Abstract This paper introduces a mathematical model for the growth of transactive response DNA binding protein 43 kDa (TDP-43) inclusion bodies in neuron soma. The model’s equations enable numerical determination concentrations TDP-43 dimers, monomers, and aggregates. Assuming all aggregates integrate into bodies, predicts size bodies. An approximate solution to is derived scenario which degradation machinery dysfunctional, resulting infinite half-lives solution, valid large times, that body’s radius increases proportionally cube root time. To best author’s knowledge, this study presents first attempt relationship between sensitivity analysis indicates monomers aggregates, as well body radii, are independent kinetic constants. While full continues work with finite half-lives, becomes invalid scenarios physiologically relevant (finite) In contrast situation shows various values constants, curves representing depicting converge distinct constant values.

Language: Английский

Numerical modeling of senile plaque development under conditions of limited diffusivity of amyloid-β monomers DOI
A. V. Kuznetsov

Journal of Theoretical Biology, Journal Year: 2024, Volume and Issue: 587, P. 111823 - 111823

Published: April 10, 2024

Language: Английский

Citations

7

The growth rate of senile plaques is determined by the competition between the rate of deposition of free Aβ aggregates into plaques and the autocatalytic production of free Aβ aggregates DOI
A. V. Kuznetsov

Journal of Theoretical Biology, Journal Year: 2024, Volume and Issue: 593, P. 111900 - 111900

Published: July 9, 2024

Language: Английский

Citations

7

A criterion characterizing accumulated neurotoxicity of Aβ oligomers in Alzheimer's disease DOI Creative Commons
A. V. Kuznetsov

Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2025, Volume and Issue: 481(2309)

Published: March 1, 2025

The paper develops a criterion to quantify the accumulated neurotoxicity of extracellular amyloid beta (Aβ) oligomers in Alzheimer's disease (AD). Accumulated is determined by integrating concentration Aβ within control volume (CV) over time. In scenario low rate free oligomer deposition into senile plaques and dysfunctional degradation machinery, resulting an infinitely long half-life monomers aggregates, obtained analytical solution reveals quadratic relationship between This suggests that initially, increases slowly but accelerates as time progresses. could help understand prolonged delay onset AD symptoms. Furthermore, model indicates with duration aggregation process, it implies if protein system compromised, becomes unavoidable. Eventually, neuronal death only question way prevent this outcome ensure machinery for peptides their aggregates remains functional. A threshold value suggested. developed theory exceeded, nearby neurons will die. progression analysed. An S-shaped growth pattern, half-deposition increases, revealed. addition, sensitivity different parameter values examined.

Language: Английский

Citations

0

A criterion characterizing accumulated toxicity of Aβ oligomers in Alzheimer’s disease DOI Creative Commons
A. V. Kuznetsov

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 20, 2024

Abstract The paper develops a criterion to quantify the accumulated neurotoxicity of Aβ oligomers in Alzheimer’s disease (AD). Accumulated is determined by integrating concentration within control volume over time. In scenario low rate free oligomer deposition into senile plaques and dysfunctional degradation machinery, resulting an infinitely long half-life monomers aggregates, obtained analytical solution reveals quadratic relationship between This suggests that initially, increases slowly but accelerates as time progresses. could help understand prolonged delay onset AD symptoms. Furthermore, model indicates with duration aggregation process, it implies if protein system compromised, becomes unavoidable. Eventually, neuronal death only question way prevent this outcome ensure machinery for peptides their aggregates remains functional. A threshold value suggested. developed theory exceeded, nearby neurons will die. progression analyzed. An S-shaped growth pattern half-deposition revealed. Additionally, sensitivity different parameter values examined.

Language: Английский

Citations

3

Effect of diffusivity of amyloid beta monomers on the formation of senile plaques DOI Creative Commons
A. V. Kuznetsov

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 2, 2023

Abstract Alzheimer’s disease (AD) presents a perplexing question: why does its development span decades, even though individual amyloid beta (Aβ) deposits (senile plaques) can form rapidly in as little 24 hours, recent publications suggest? This study investigated whether the formation of senile plaques be limited by factors other than polymerization kinetics alone. Instead, their may diffusion-driven supply Aβ monomers, along with rate at which monomers are produced from precursor protein (APP) and undergo degradation. A mathematical model incorporating nucleation autocatalytic process (via Finke-Watzky model), well monomer diffusion, was proposed. The obtained system partial differential equations solved numerically, simplified version analytically. computational results predicted that it takes approximately 7 years for aggregates to reach neurotoxic concentration 50 μM. Additionally, sensitivity analysis performed examine how diffusivity production impact aggregates.

Language: Английский

Citations

8

Numerical modeling of senile plaque development under conditions of limited diffusivity of amyloid-β monomers DOI Creative Commons
A. V. Kuznetsov

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 11, 2024

Abstract This paper introduces a method to simulate the progression of senile plaques, focusing on scenarios where concentrations amyloid beta (Aβ) monomers and aggregates vary between neurons. Extracellular variations in these may arise due limited diffusivity Aβ high rate monomer production at lipid membranes, requiring substantial concentration gradient for diffusion-driven transport monomers. The dimensionless formulation model is presented, identifying four key parameters governing solutions aggregate concentrations, as well radius growing plaque within control volume. These include monomers, production, half-lives aggregates. A parameter introduced assess validity lumped capacitance approximation. An approximate solution derived scenario involving large dysfunctional protein degradation machinery, resulting infinitely long In this scenario, depend solely single that characterizes production. According solution, linearly dependent an directly proportional cube root However, when departing from conditions (e.g., finite half-lives), aggregates, along with radius, exhibit complex dependencies all parameters. For instance, under physiological half-life conditions, reaches maximum value stabilizes thereafter.

Language: Английский

Citations

2

Evaluating Combined Neurotoxicity of Amyloid Beta and Tau Oligomers in Alzheimer's Disease: A New Criterion DOI Creative Commons
A. V. Kuznetsov

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 3, 2024

Abstract A criterion characterizing the combined neurotoxicity of amyloid beta and tau oligomers is suggested. mathematical model that makes it possible to calculate a value this during senile plaque NFT formation proposed. Computations show for physiologically relevant parameter values, increases approximately linearly as time increases. Once neurofibrillary tangles starts in addition formation, slope rate at which becomes larger. The critical upon reaching neuron dies estimated. predict unless production rates monomers are very large, order accumulated toxicity reach value, degradation machinery responsible must become dysfunctional. after 20 years aggregation process strongly influenced by deposition into plaques NFTs. This suggests NFTs may reduce sequestering more toxic oligomeric species less insoluble aggregates.

Language: Английский

Citations

1

Effect of diffusivity of amyloid beta monomers on the formation of senile plaques DOI Creative Commons
A. V. Kuznetsov

Mathematical Medicine and Biology A Journal of the IMA, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 15, 2024

Abstract Alzheimer’s disease (AD) presents a perplexing question: why does its development span decades, even though individual amyloid beta (Aβ) deposits (senile plaques) can form rapidly in as little 24 hours, recent publications suggest? This study investigated whether the formation of senile plaques be limited by factors other than polymerization kinetics alone. Instead, their may diffusion-driven supply Aβ monomers, along with rate at which monomers are produced from precursor protein and undergo degradation. A mathematical model incorporating nucleation autocatalytic process (via Finke–Watzky model), well monomer diffusion, was proposed. The obtained system partial differential equations solved numerically, simplified version analytically. computational results predicted that it takes approximately 7 years for aggregates to reach neurotoxic concentration 50 μM. Additionally, sensitivity analysis performed examine how diffusivity production impact aggregates.

Language: Английский

Citations

1

The growth rate of senile plaques is determined by the competition between the rate of deposition of free Aβ aggregates into plaques and the autocatalytic production of free Aβ aggregates DOI Creative Commons
A. V. Kuznetsov

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 10, 2024

Abstract The formation of amyloid beta (Aβ) deposits (senile plaques) is one the hallmarks Alzheimer’s disease (AD). This study investigates what processes are primarily responsible for their formation. A model developed to simulate diffusion monomers, production free Aβ aggregates through nucleation and autocatalytic processes, deposition these into senile plaques. suggests that efficient degradation monomers alone may suffice prevent growth plaques, even without degrading existing because interrupts supply reactants needed plaque impact monomer diffusivity demonstrated be small, enabling application lumped capacitance approximation derivation approximate analytical solutions limiting cases with both small large rates aggregate It found rate governed by two competing processes. One If this grows slowly. However, if plaques very large, removed from intracellular fluid leaving insufficient catalyze new aggregates. under certain conditions, offer neuroprotection impede own growth. Additionally, it indicates there exists an optimal at which attain maximum size.

Language: Английский

Citations

0

Simulating the growth of TAF15 inclusions in neuron soma DOI Creative Commons
A. V. Kuznetsov

Published: July 17, 2024

Abstract To the best of author’s knowledge, this paper presents first attempt to develop a mathematical model formation and growth inclusions containing misfolded TATA-box binding protein associated factor 15 (TAF15). It has recently been shown that TAF15 are involved in approximately 10% cases frontotemporal lobar degeneration (FTLD). FTLD is second most common neurodegenerative disease after Alzheimer’s (AD). characterized by progressive loss personality, behavioral changes, decline language skills due frontal anterior temporal lobes. The simulates monomer production, nucleation autocatalytic free aggregates, their deposition into inclusions. accuracy numerical solution equations validated comparing it with analytical solutions available for limiting cases. Physiologically relevant parameter values were used predict inclusion growth. influenced two opposing mechanisms: rate at which aggregates deposited production from monomers. A low slows growth, while high hinders new thus also slowing Consequently, maximized an intermediate

Language: Английский

Citations

0