Hierarchical Levels of Biological Systems and their Integration as a Principal Cause for Tumour Occurrence.

IF 0.6 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Svetoslav Nikolov, Assen Dimitrov, Julio Vera
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Abstract

The development of new theories, mathematical methods and models for effective control of complex systems is one of the main problems for modern science. Biological systems are complex and hierarchically organized, with the behaviour of higher levels influencing the dynamics of the lower ones and vice versa. Hierarchical organization can be observed from subcellular to supercellular levels. When biological systems are far from their steady states, then nonlinear dependences take place, and a slight external impact can cause unexpected and unpredictable (chaotic, irregular) behaviour in these systems, resulting in fractal hierarchical structures. By examining tumours as strange (chaotic) attractors, we define in this article the hypothesis that the cause of their occurrence, development and spread (metastasis) is due to disorders in the hierarchical structure and integration of cell signalling pathways in tumour cells. An essential point in this article is the thesis (contrary to the view that the only causality in hierarchical systems is physical causality, i.e. there is no "top-down,' "holistic causality,' "intelligent causality,' etc.) that hierarchical systems are built on the principle of communication. Intelligent systems (in particular biological) that do not interact as mechanical objects, but on the basis of different meanings of biochemical signals obtained after their interpretation, participate in this communication.

生物系统的等级水平及其整合是肿瘤发生的主要原因。
为复杂系统的有效控制发展新的理论、数学方法和模型是现代科学的主要问题之一。生物系统是复杂的、分层组织的,较高层次的行为影响较低层次的动态,反之亦然。从亚细胞到超细胞水平可以观察到等级组织。当生物系统远离其稳定状态时,就会发生非线性依赖,并且轻微的外部冲击会导致这些系统中意想不到的和不可预测的(混沌,不规则)行为,从而导致分形层次结构。通过研究肿瘤作为奇怪的(混沌的)吸引子,我们在本文中定义了一个假设,即它们的发生、发展和扩散(转移)的原因是由于肿瘤细胞中分层结构和细胞信号通路整合的紊乱。这篇文章的要点是一个论点(与等级系统中唯一的因果关系是物理因果关系的观点相反,即不存在“自上而下”、“整体因果关系”、“智能因果关系”等),等级系统是建立在沟通原则之上的。智能系统(特别是生物系统)不像机械物体那样相互作用,而是基于它们解释后获得的生化信号的不同含义,参与这种交流。
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
CiteScore
1.40
自引率
11.10%
发文量
26
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