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血糖调节:从反馈回路到组织闭合

Glycemia Regulation: From Feedback Loops to Organizational Closure.

作者信息

Bich Leonardo, Mossio Matteo, Soto Ana M

机构信息

IAS Research Centre for Life, Mind and Society, Department of Logic and Philosophy of Science, University of the Basque Country (UPV/EHU), San Sebastián, Spain.

Institut d'Histoire et de Philosophie des Sciences et des Techniques, CNRS/Université Paris 1, Paris, France.

出版信息

Front Physiol. 2020 Feb 18;11:69. doi: 10.3389/fphys.2020.00069. eCollection 2020.

Abstract

Endocrinologists apply the idea of feedback loops to explain how hormones regulate certain bodily functions such as glucose metabolism. In particular, feedback loops focus on the maintenance of the plasma concentrations of glucose within a narrow range. Here, we put forward a different, organicist perspective on the endocrine regulation of glycaemia, by relying on the pivotal concept of closure of constraints. From this perspective, biological systems are understood as organized ones, which means that they are constituted of a set of mutually dependent functional structures acting as constraints, whose maintenance depends on their reciprocal interactions. Closure refers specifically to the mutual dependence among functional constraints in an organism. We show that, when compared to feedback loops, organizational closure can generate much richer descriptions of the processes and constraints at play in the metabolism and regulation of glycaemia, by making explicit the different hierarchical orders involved. We expect that the proposed theoretical framework will open the way to the construction of original mathematical models, which would provide a better understanding of endocrine regulation from an organicist perspective.

摘要

内分泌学家运用反馈回路的概念来解释激素如何调节某些身体功能,如葡萄糖代谢。具体而言,反馈回路专注于将血浆葡萄糖浓度维持在一个狭窄的范围内。在此,我们通过依赖关键的约束闭合概念,提出了一种关于血糖内分泌调节的不同的、有机论观点。从这个角度来看,生物系统被理解为有组织的系统,这意味着它们由一组相互依赖的功能结构构成,这些结构作为约束起作用,其维持依赖于它们之间的相互作用。闭合具体指的是生物体中功能约束之间的相互依赖。我们表明,与反馈回路相比,组织闭合通过明确所涉及的不同层次顺序,可以对血糖代谢和调节过程及约束产生更丰富的描述。我们期望所提出的理论框架将为构建原创数学模型开辟道路,这些模型将从有机论角度更好地理解内分泌调节。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789d/7040218/4bf6159283b6/fphys-11-00069-g001.jpg

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