Energy optimisation predicts the capacity of ion buffering in the brain

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, CYBERNETICS Biological Cybernetics Pub Date : 2023-12-16 DOI:10.1007/s00422-023-00980-x
Reinoud Maex
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Abstract

Neurons store energy in the ionic concentration gradients they build across their cell membrane. The amount of energy stored, and hence the work the ions can do by mixing, can be enhanced by the presence of ion buffers in extra- and intracellular space. Buffers act as sources and sinks of ions, however, and unless the buffering capacities for different ion species obey certain relationships, a complete mixing of the ions may be impeded by the physical conditions of charge neutrality and isotonicity. From these conditions, buffering capacities were calculated that enabled each ion species to mix completely. In all valid buffer distributions, the \(\hbox {Ca}^{2+}\) ions were buffered most, with a capacity exceeding that of \(\hbox {Na}^+\) and \(\hbox {K}^+\) buffering by at least an order of magnitude. The similar magnitude of the (oppositely directed) \(\hbox {Na}^+\) and \(\hbox {K}^+\) gradients made extracellular space behave as a \(\hbox {Na}^+\)\(\hbox {K}^+\) exchanger. Anions such as \(\hbox {Cl}^-\) were buffered least. The great capacity of the extra- and intracellular \(\hbox {Ca}^{2+}\) buffers caused a large influx of \(\hbox {Ca}^{2+}\) ions as is typically observed during energy deprivation. These results explain many characteristics of the physiological buffer distributions but raise the question how the brain controls the capacity of its ion buffers. It is suggested that neurons and glial cells, by their great sensitivity to gradients of charge and osmolarity, respectively, sense deviations from electro-neutral and isotonic mixing, and use these signals to tune the chemical composition, and buffering capacity, of the extra- and intracellular matrices.

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能量优化可预测大脑离子缓冲能力
神经元在其细胞膜上形成的离子浓度梯度中储存能量。细胞外和细胞内离子缓冲剂的存在可以增强所储存的能量,从而增强离子通过混合所做的功。然而,缓冲剂既是离子的源,也是离子的汇,除非不同离子种类的缓冲能力符合一定的关系,否则离子的完全混合可能会受到电荷中性和等渗性等物理条件的阻碍。根据这些条件计算出的缓冲能力可以使每种离子完全混合。在所有有效的缓冲分布中,(\hbox {Ca}^{2+}\)离子的缓冲能力最强,超过了(\hbox {Na}^+\)和(\hbox {K}^+\)的缓冲能力至少一个数量级。相反方向的)\(\hbox {Na}^+\)和\(\hbox {K}^+\)梯度的相似程度使得细胞外空间表现为\(\hbox {Na}^+\)-\(\hbox {K}^+\)交换器。阴离子如\(\hbox {Cl}^-\)的缓冲作用最小。细胞外和细胞内的\(\hbox {Ca}^{2+}\)缓冲剂的巨大容量导致了\(\hbox {Ca}^{2+}\)离子的大量流入,这通常是在能量缺乏时观察到的。这些结果解释了生理缓冲分布的许多特征,但也提出了大脑如何控制其离子缓冲容量的问题。有人认为,神经元和神经胶质细胞分别对电荷梯度和渗透压梯度非常敏感,它们能感知偏离电中性和等渗混合的情况,并利用这些信号来调整细胞外和细胞内基质的化学成分和缓冲能力。
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来源期刊
Biological Cybernetics
Biological Cybernetics 工程技术-计算机:控制论
CiteScore
3.50
自引率
5.30%
发文量
38
审稿时长
6-12 weeks
期刊介绍: Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.
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