metabolizmaya

Metabolizmaya is a theoretical framework intended to describe the bidirectional coupling between metabolic networks and information processing in cells and tissues. It posits that metabolic states do not only fuel cellular activity but also shape decision-making processes through regulatory feedback, signaling pathways, and epigenetic mechanisms. The framework aims to integrate quantitative descriptions of metabolism with models of information flow and control.

Key concepts include metabolic flux, enzyme regulation, energy status, signaling cascades, gene regulatory networks, and epigenetic modifications. Metabolizmaya employs metrics from information theory such as entropy and mutual information to measure how changes in metabolite concentrations influence gene expression and phenotype. Computational approaches include dynamic flux balance analysis, stochastic simulations, and multi-omics integration to simulate how perturbations propagate through metabolism and regulation.

The term emerged in theoretical biology and systems biology literature in the early 2020s as researchers sought common language for metabolism and cognition-like processes. While not universally adopted, the concept has influenced studies in metabolic control, synthetic biology, and neurobiology where metabolic signals are linked to decision-making.

Critics argue that the concept can be underspecified and that practical applications require clear definitions and standardized metrics. Proponents say metabolizmaya provides a common framework for hypothesis generation and for designing experiments that test links between metabolism and information processing.