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模拟 TATA 框结合蛋白相关因子 15 包含物在神经元胞体中的生长。

Simulating the Growth of TATA-Box Binding Protein-Associated Factor 15 Inclusions in Neuron Soma.

机构信息

Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695-7910.

出版信息

J Biomech Eng. 2024 Dec 1;146(12). doi: 10.1115/1.4066386.

Abstract

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

摘要

据作者所知,本文首次尝试建立一个包含错误折叠 TATA 框结合蛋白相关因子 15(TAF15)的内含物形成和生长的数学模型。最近的研究表明,TAF15 内含物与大约 10%的额颞叶退行性变(FTLD)病例有关。FTLD 是仅次于阿尔茨海默病(AD)的第二常见神经退行性疾病。其特征是由于额极和前颞叶的退化,导致人格、行为的逐渐丧失和语言技能的下降。该模型模拟了 TAF15 单体的产生、游离 TAF15 聚集体的成核和自催化生长,以及它们沉积到 TAF15 内含物中。通过将模型方程的数值解与可用的极限情况的解析解进行比较,验证了数值解的准确性。使用与生理相关的参数值来预测 TAF15 内含物的生长。结果表明,TAF15 内含物的生长受到两种相反机制的影响:游离 TAF15 聚集体沉积到内含物中的速率和单体自催化生成游离 TAF15 聚集体的速率。低沉积速率会减缓内含物的生长,而高沉积速率会阻碍新聚集体的自催化生成,从而也减缓内含物的生长。因此,在游离 TAF15 聚集体向 TAF15 内含物的沉积速率为中等时,内含物的生长速率达到最大值。

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