A functional approach to homeostatic regulation
C. Fernandez AriasiD, Francisco J. Acosta, Federica BertocchiniiD, Cristina Fernández-AriasiD
Abstract
In this work, we present a novel modeling framework for understanding the dynamics of homeostatic regulation. Inspired by engineering control theory, this framework incorporates unique features of biological systems. First, biological variables often play physiological roles, and taking this functional context into consideration is essential to fully understand the goals and constraints of homeostatic regulation. Second, biological signals are not abstract variables, but rather material molecules that may undergo complex turnover processes of synthesis and degradation. We suggest that the particular nature of biological signals may condition the type of information they can convey, and their potential role in shaping the dynamics and the ultimate purpose of homeostatic systems. We show that the dynamic interplay between regulated variables and control signals is a key determinant of biological homeostasis, challenging the necessity and the convenience of strictly extrapolating concepts from engineering control theory in modeling the dynamics of homeostatic systems. This work provides an alternative, unified framework for studying biological regulation and identifies general principles that transcend molecular details of particular homeostatic mechanisms. We show how this approach can be naturally applied to apparently different regulatory systems, contributing to a deeper understanding of homeostasis as a fundamental process in living systems.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 4
- FWCI
- 0.46
- Field percentile
- top 44%
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Homeostasis Equation: An Approach to Theoretical Medicine
- Dynamic compensation and homeostasis: a feedback control perspective
Michel Fliess, Cédric Join·bioRxiv·Jan 23, 2018
- Gradual proactive regulation of body state by reinforcement learning of homeostasis
Mana Fujiwara, Honda Naoki·Neuroscience ResearchPeer-reviewed·Jan 7, 2026
- Hormones: what are they good for?
Sean A. Ridout, Priyathama Vellanki, Ilya M. Nemenman·bioRxiv·Aug 26, 2026
- Emergent Homeostasis and Degeneracy from multi-Dimensional Attractors
Hanna Salman, Kuheli Biswas, Naama Brenner·bioRxiv·May 7, 2025
- Evolutionary design of regulatory control. I. A robust control theory analysis of tradeoffs
S. A. Frank·bioRxiv·Sep 3, 2018