Metabolic coordination and phase transitions in spatially distributed multi-cellular systems

During overflow metabolism, cells excrete glycolytic byproducts when growing under aerobic conditions in a seemingly wasteful fashion. While potentially advantageous for microbes with finite oxidative capacity, its role in higher organisms is harder to assess. Recent single-cell experiments suggest overflow metabolism arises due to imbalances in inter-cellular exchange networks. We quantitatively characterize this scenario by integrating spatial metabolic modeling with tools from statistical physics and experimental single-cell flux data. Our results provide a theoretical demonstration of how diffusion-limited exchanges shape the space of accessible multi-cellular metabolic states. Specifically, a phase transition from a balanced network of exchanges to an unbalanced, overflow regime occurs as mean glucose and oxygen uptake rates vary. Heterogeneous single-cell metabolic phenotypes occur near this transition. Time-resolved tumor-stroma co-culture data support the idea that overflow metabolism stems from failure of inter-cellular metabolic coordination. In summary, environmental control is an emergent multi-cellular property, rather than a cell-autonomous effect. Using metabolic modeling and experimental data, the authors uncover a phase transition driven by diffusion-limited exchanges revealing that overflow metabolism stems from a breakdown in intercellular coordination rather than isolated cellular behavior.

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Publication Details

Journal
Communications Physics
Published
2025-05-19
DOI
https://doi.org/10.1038/s42005-025-02133-x
Citations
5
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
4.03

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article

Metabolic coordination and phase transitions in spatially distributed multi-cellular systems

Stefania Forciniti, José Antonio Pereiro-Morejón, Andrea De Martino, Valentina Onesto et al.
5 citations
Communications Physics
Microbial Metabolic Engineering and Bioproduction
4.03
article

Metabolic coordination and phase transitions in spatially distributed multi-cellular systems

Stefania Forciniti, José Antonio Pereiro-Morejón, Andrea De Martino, Valentina Onesto, Krishnadev Narayanankutty, Daniele De Martino, Roberto Mulet, David S. Tourigny, Loretta L. del Mercato, Arián Ferrero-Fernández
article en
5 citations

Abstract

During overflow metabolism, cells excrete glycolytic byproducts when growing under aerobic conditions in a seemingly wasteful fashion. While potentially advantageous for microbes with finite oxidative capacity, its role in higher organisms is harder to assess. Recent single-cell experiments suggest overflow metabolism arises due to imbalances in inter-cellular exchange networks. We quantitatively characterize this scenario by integrating spatial metabolic modeling with tools from statistical physics and experimental single-cell flux data. Our results provide a theoretical demonstration of how diffusion-limited exchanges shape the space of accessible multi-cellular metabolic states. Specifically, a phase transition from a balanced network of exchanges to an unbalanced, overflow regime occurs as mean glucose and oxygen uptake rates vary. Heterogeneous single-cell metabolic phenotypes occur near this transition. Time-resolved tumor-stroma co-culture data support the idea that overflow metabolism stems from failure of inter-cellular metabolic coordination. In summary, environmental control is an emergent multi-cellular property, rather than a cell-autonomous effect. Using metabolic modeling and experimental data, the authors uncover a phase transition driven by diffusion-limited exchanges revealing that overflow metabolism stems from a breakdown in intercellular coordination rather than isolated cellular behavior.

Communications PhysicsVol. 8(1)
Ikerbasque (ES), University of the Basque Country (ES), Politecnico di Torino (IT), University of Havana (CU), Istituto di Nanotecnologia (IT), Euskadiko Parke Teknologikoa (ES), Fundación Biofísica Bizkaia (ES), Italian institute for Genomic Medicine (IT), University of Birmingham (GB)
Ministerio de Educación, Cultura y Deporte, Ekonomiaren Garapen eta Lehiakortasun Saila, Eusko Jaurlaritza
Openalex Percentile: Top 6%
Microbial Metabolic Engineering and Bioproduction
4.03
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