适应不良疾病是机体内个体化失调。

IF 1.9 4区 生物学 Q2 BIOLOGY
Thomas Lissek
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引用次数: 0

摘要

目前的工作引入了这样一种假设,即各种人类适应不良疾病,包括成瘾、癌症、自身免疫、纤维化、抑郁、慢性疼痛和创伤后应激障碍,都有一个普遍的功能模式,即它们是由生理子系统目标状态整合到整个生物体目标状态的缺陷引起的,并由此导致生物体内出现新的个性水平。在这一框架下,个体发生适应不良的一般机制是通过生理适应机制使子系统在机体内个体化,这导致这些系统与生物体的其他部分分离,并以整个生物体的健康为代价发展出不成比例的自主性。在这些障碍中,调解持续功能障碍的主要机制是不适应记忆的形成和维持。一个潜在的普遍的治疗原则是提供生理整合压力,迫使子系统整合回整个生物体的功能组织。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maladaptation diseases as disorders of intraorganismal individuation
The present work introduces the hypothesis that various human maladaptation diseases including addiction, cancer, autoimmunity, fibrosis, depression, chronic pain and post-traumatic stress disorder share a universal functional pattern in that they are caused by defects in goal state integration of physiological subsystems into whole-organism goal states and by the resulting emergence of new levels of individuality within the organism. In this framework, a general mechanism in ontogenetic maladaptation is the intraorganismal individuation of subsystems via physiological adaptation mechanisms, which results in these systems becoming uncoupled from the rest of the organism and developing disproportional autonomy at the cost of whole organism health. A central mechanism for mediating continued dysfunction in these disorders is the formation and maintenance of maladaptive memories. A potential universal therapeutic principle for maladaptation disorders is to provide physiological integration pressure to force subsystems to integrate back into the functional organization of the whole organism.
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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