Deciphering two-dimensional calcium fractional diffusion of membrane flux in neuron

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Vora Hardagna Vatsal, Brajesh Kumar Jha, Tajinder Pal Singh
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Abstract

Calcium is a decisive messenger for neuronal vivid functions. The calcium intracellular sequestering major unit is the Endoplasmic Reticulum (ER). Brownian motion of calcium could be bound to different buffers like S100B, calmodulin, etc, and different organelles. Plasma membrane channels like voltage-gated calcium channels (VGCC) and Plasma Membrane Calcium ATPase (PMCA), Orai channel could perturb the calcium concentration. To investigate the calcium interplay for intracellular signaling we have developed the two-dimensional time fractional reaction–diffusion equation. To solve this model analytically, we have used the Laplace and Fourier cosine integral transform method. By using Green’s function we obtained the compact solution in closed form with Mainardi’s function and Wright’s function. Uniqueness and existence proved the more fundamental approach to the fractional reaction–diffusion problem. The fractional Caputo approach gives better insight into this real-life problem by its nonlocal nature. Significant effects of different parameters on free calcium ions were obtained and the results are interpreted with normal and Alzheimeric cells. Non-local property and dynamical aspects are graphically presented which might provide insight into the Stromal interaction molecule (STIM) and S100B parameters.

Abstract Image

解密神经元膜通量的二维钙分数扩散
钙是神经元生动功能的决定性信使。钙在细胞内的主要储存单位是内质网(ER)。钙的布朗运动可与不同的缓冲剂(如 S100B、钙调素等)和不同的细胞器结合。电压门控钙通道(VGCC)、质膜钙ATP酶(PMCA)、Orai通道等质膜通道可扰动钙浓度。为了研究钙离子在细胞内信号传递中的相互作用,我们建立了二维时间分数反应-扩散方程。为了对这一模型进行分析求解,我们使用了拉普拉斯和傅立叶余弦积分变换方法。通过使用格林函数,我们得到了与 Mainardi 函数和 Wright 函数闭合形式的紧凑解。唯一性和存在性证明了分数反应扩散问题更基本的方法。分数卡普托方法的非局域性使其能更好地洞察这一现实问题。研究获得了不同参数对游离钙离子的显著影响,并用正常细胞和阿尔茨海默氏症细胞对结果进行了解释。非局部特性和动态方面以图表形式呈现,这可能有助于深入了解基质相互作用分子(STIM)和 S100B 参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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