Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.03.13.710876

An enzymatic metabolic sensing axis in taste cells detects glucose-yielding carbohydrates

Abstract

Glucose is a potent reinforcer of intake, yet most foods contain complex saccharides that do not yield free glucose until after digestion. How the oral sensory system rapidly evaluates the potential metabolic value of food remains unclear. Here, we identify an oral enzymatic-metabolic sensing mechanism that enables detection of glucose-yielding carbohydrates independent of canonical sweet taste receptors. Using genetic, virogenetic, molecular, and behavioral approaches in mice, we show that glucokinase (GCK) in taste cells is necessary for the attraction to glucose-containing sugars. We further demonstrate that maltase glucoamylase (MGAM), a glycosidic enzyme expressed on and near taste cells, facilitates rapid oral sugar sensing. Disruption of either GCK or MGAM in the major taste fields selectively attenuates the attraction to maltose and a carbohydrate-rich mixed diet, establishing both as intermediaries in the initial transduction pathway for complex saccharides that ultimately give rise to nutrient reward. Molecular profiling of taste papillae further revealed that deficient sweet sensing was accompanied by a compensatory increase in lingual MGAM, highlighting an adaptive mechanism for maintaining oral carbohydrate sensitivity. Together, these findings reveal that the oral epithelium actively preprocesses and metabolically evaluates dietary carbohydrates, providing a mechanism for rapid estimation of energetic value prior to ingestion. Significance StatementCarbohydrates strongly motivate eating, yet most are consumed in complex forms that do not immediately release glucose. We show that the oral epithelium contains an adaptive enzymatic-metabolic sensing system that enables rapid evaluation of glucose-yielding carbohydrates before digestion. Two enzymes, maltase glucoamylase and glucokinase, act locally in taste fields to preprocess and metabolically assess complex sugars, biasing ingestive behavior toward energetically favorable foods. This mechanism operates independently of canonical sweet taste receptors and is dynamically regulated by dietary experience and receptor sensitivity. These findings reveal that the mouth actively estimates the energetic value of food prior to ingestion, reshaping our understanding of how nutrient sensing guides dietary choice.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Simental Ramos, A., Chometton, S., Jung, A., Cave, A., Udagedara, T., Metyas, C., Mai, L., Tang, G., Fan, J., Obrzut, M., Schier, L.. 2026-03-16. An enzymatic metabolic sensing axis in taste cells detects glucose-yielding carbohydrates. https://doi.org/10.64898/2026.03.13.710876

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Human iEEG recordings during audiovisual speech violations support and extend predictive routing models

Rather than constantly reconstructing the world solely through sensory input, predictive processing theories posit that the brain utilizes predictions maintained as internal representations to guide sensory processing. An emerging model, predictive routing, proposes that an interplay between neuronal gamma (40-150 Hz) and alpha-beta (10-30 Hz) rhythms implements a dynamic mechanism for predictive processing. Namely, predictions enhance alpha-beta oscillations that suppress gamma activity during the processing of predicted inputs. While this model is supported by animal studies, its validity has not been fully explored within the human brain. The present study addresses this by leveraging human intracranial EEG (iEEG) recordings across superior temporal and prefrontal/premotor areas of seven presurgical epilepsy patients during an audiovisual speech paradigm. We calculated iEEG power in the theta, alpha-beta, and high gamma bands during simple auditory deviance, multisensory integration, and a condition where an incongruent visual cue (lip movements) clashed with an auditory stimulus (a syllable), creating audiovisual incongruence that can elicit the McGurk illusion. Results revealed increased high-gamma and decreased alpha-beta power in the superior temporal cortex in response to auditory deviance and the McGurk condition, while frontal areas, despite reflecting a similar decrease in alpha-beta power, did not present this high gamma prediction error signal. Instead, the theta band revealed a strong prediction error signal in the McGurk condition, consistent with theories on the role of theta in reorganizing cortical networks. These results both support and extend existing predictive routing models for human-specific forms of predictive processing.

neuroscience↗

A Unified World Model in Human Posterior Parietal Cortex

How does the brain understand the physical world, predict future events, and plan actions? Are these problems solved by a unified world model, as hypothesized by cognitive scientists and artificial intelligence researchers? Posterior parietal cortex has been implicated in all these functions, but whether the same neurons support each of them is unknown. We recorded from the superior parietal lobule (SPL) of two tetraplegic participants implanted with microelectrode arrays. SPL units preferentially engaged by intuitive physics, judging block-tower stability and viewing naturalistic physical events, also predicted whether moving objects would collide hundreds of milliseconds before contact, generalizing between different physical scenarios. These populations also encoded which hand action the participant intended to perform. These findings identify SPL as a substrate for physical world modeling.

neuroscience↗

Cortical long-range dynamics track excitation-inhibition balance across cognitive states and organizational principles

A fundamental question in systems neuroscience is how the brain's excitation-inhibition (E/I) balance shapes the temporal structure of neural activity and whether we can non-invasively recover this relationship from neural scaling properties. We show that MRS-derived E/I balance is expressed in long-range temporal dynamics and constrained by cytoarchitecture. The laminar organisation of inhibitory circuits, spanning agranular to granular cortex, determines how faithfully regional dynamics reflect E/I balance. This neurochemical signature is state-dependent: its relationship with cortical dynamics reverses during task engagement, consistent with traversal of dynamical regimes around a critical point. It extends beyond fMRI to arousal-linked dynamics, indexed by pupil diameter and microsaccades, indicating a global mode of cortical state rather than a regionally isolated property. The imprint of E/I balance on long-range dynamics follows the sensory-association axis at rest, and is reconfigured during task engagement. These findings establish E/I balance as a neurochemical quantity with structured, scalable signatures across the temporal and spatial organization of the human cortex.

neuroscience↗