软骨细胞植入后骨软骨缺损再生过程中信号分子介导过程的数学模型。

IF 1.9 4区 数学 Q2 BIOLOGY
Kelly Campbell , Shailesh Naire , Jan Herman Kuiper
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引用次数: 0

摘要

治疗骨软骨缺损是一个基本的临床问题。由于软骨无血管,受损软骨的自我修复能力有限。如果不加以治疗,这些缺损会导致骨关节炎。骨软骨缺损修复的细节尚不明确,但动物模型显示,愈合是通过软骨内骨化类似过程进行的,与生长板的过程类似。在生长板中,甲状旁腺激素相关蛋白(PTHrP)和印度刺猬(Ihh)信号分子形成了一个调节软骨细胞肥大的反馈回路,Ihh诱导软骨细胞肥大,而PTHrP则抑制软骨细胞肥大。为了更好地理解这一修复过程并探索信号分子对再生过程的调控作用,我们建立了软骨细胞植入后骨软骨缺损再生的反应-扩散数学模型。假定愈合的驱动力是软骨细胞和成骨细胞,以及它们通过信号分子的相互作用。我们对细胞增殖、迁移和软骨细胞肥大以及基质的产生和转化进行空间和时间建模。我们进一步模拟了营养物质和信号分子的扩散及其与细胞的相互作用。我们将 PTHrP-Ihh 反馈环路视为骨干机制,但该模型具有灵活性,可根据需要纳入额外的信号机制。我们的数学模型能够代表骨软骨缺损的修复,首先是整个缺损部位的软骨形成。随后是软骨细胞肥大、基质钙化和缺损深层骨的形成,而表面的软骨得以保持,并最终由一层薄薄的钙化软骨层将其与深层骨分开。整个过程大约需要 48 个月。该模型的一个主要亮点是证明了仅靠 PTHrP-Ihh 循环是不够的,还需要一个额外的机制来启动软骨细胞肥大,即临界软骨密度。参数敏感性研究显示,修复过程的时间关键取决于临界软骨密度等参数,以及描述 PTHrP 抑制肥大作用的参数,如扩散系数、阈值浓度和降解率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A mathematical model of signalling molecule-mediated processes during regeneration of osteochondral defects after chondrocyte implantation

Treating bone-cartilage defects is a fundamental clinical problem. The ability of damaged cartilage to self-repair is limited due to its avascularity. Left untreated, these defects can lead to osteoarthritis. Details of osteochondral defect repair are elusive, but animal models indicate healing occurs via an endochondral ossification-like process, similar to that in the growth plate. In the growth plate, the signalling molecules parathyroid hormone-related protein (PTHrP) and Indian Hedgehog (Ihh) form a feedback loop regulating chondrocyte hypertrophy, with Ihh inducing and PTHrP suppressing hypertrophy. To better understand this repair process and to explore the regulatory role of signalling molecules on the regeneration process, we formulate a reaction–diffusion mathematical model of osteochondral defect regeneration after chondrocyte implantation. The drivers of healing are assumed to be chondrocytes and osteoblasts, and their interaction via signalling molecules. We model cell proliferation, migration and chondrocyte hypertrophy, and matrix production and conversion, spatially and temporally. We further model nutrient and signalling molecule diffusion and their interaction with the cells. We consider the PTHrP-Ihh feedback loop as the backbone mechanisms but the model is flexible to incorporate extra signalling mechanisms if needed. Our mathematical model is able to represent repair of osteochondral defects, starting with cartilage formation throughout the defect. This is followed by chondrocyte hypertrophy, matrix calcification and bone formation deep inside the defect, while cartilage at the surface is maintained and eventually separated from the deeper bone by a thin layer of calcified cartilage. The complete process requires around 48 months. A key highlight of the model demonstrates that the PTHrP-Ihh loop alone is insufficient and an extra mechanism is required to initiate chondrocyte hypertrophy, represented by a critical cartilage density. A parameter sensitivity study reveals that the timing of the repair process crucially depends on parameters, such as the critical cartilage density, and those describing the actions of PTHrP to suppress hypertrophy, such as its diffusion coefficient, threshold concentration and degradation rate.

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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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