BEGREM: A Mechanistic Bioelectrochemical Model Coupling Gut Microbial Metabolism

Colonic microbial metabolism emerges from coupled substrate utilization, cross-feeding, redox regulation, extracellular electron transfer (EET), transient reducing-equivalent storage, and spatial transport. We developed BEGREM, a data-constrained mechanistic bioelectrochemical framework that integrates these processes while treating current as a composite observable rather than a direct surrogate of total metabolism. Public data from 22 studies comprised 103,320 current-voltage-power points, 3996 cyclic-voltammetry points, 213 impedance points, and 99 quality-controlled polarization curves. The archived full-BEGREM analysis yielded a median held-out RMSE of 12.4 mV. Independent reconstruction reproduced this scale at 12.147 mV (95% bootstrap: 10.406–14.736 mV) and improved 81/99 curves versus the recoverable Ohmic/Quadratic comparator set, with median ΔRMSE=7.700 mV (95% interval: 4.695–18.175; p=7.20×10−11). Full BEGREM also showed lower AICc in 95/99 curves. OCP-repolarization identified Qmax=3.575 mC and kch=0.02063s−1 with profile-likelihood 95% intervals of 2.302–5.023 mC and 0.00634–0.10633 s−1. Study-held-out transfer produced RMSEs of 75.94 and 104.15 mV, indicating substantial cross-architecture penalties. BEGREM therefore provides a reproducible mechanistic observation framework with strong within-curve and module-level support, while colon-specific calibration remains necessary.

Authors

Institutions

Publication Details

Journal
Microorganisms
Published
2026-09-30
DOI
https://doi.org/10.3390/microorganisms14102187
Primary Topic
Microbial Fuel Cells and Bioremediation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

BEGREM: A Mechanistic Bioelectrochemical Model Coupling Gut Microbial Metabolism

Ronny Fabian Amaguay Gómez, Samuel Valle-Asan, María Román-Manzano, James Torres-Peralta et al.
Microorganisms
Microbial Fuel Cells and Bioremediation
article

BEGREM: A Mechanistic Bioelectrochemical Model Coupling Gut Microbial Metabolism

Ronny Fabian Amaguay Gómez, Samuel Valle-Asan, María Román-Manzano, James Torres-Peralta, Josue Duarte-Cuesta
article en

Abstract

Colonic microbial metabolism emerges from coupled substrate utilization, cross-feeding, redox regulation, extracellular electron transfer (EET), transient reducing-equivalent storage, and spatial transport. We developed BEGREM, a data-constrained mechanistic bioelectrochemical framework that integrates these processes while treating current as a composite observable rather than a direct surrogate of total metabolism. Public data from 22 studies comprised 103,320 current-voltage-power points, 3996 cyclic-voltammetry points, 213 impedance points, and 99 quality-controlled polarization curves. The archived full-BEGREM analysis yielded a median held-out RMSE of 12.4 mV. Independent reconstruction reproduced this scale at 12.147 mV (95% bootstrap: 10.406–14.736 mV) and improved 81/99 curves versus the recoverable Ohmic/Quadratic comparator set, with median ΔRMSE=7.700 mV (95% interval: 4.695–18.175; p=7.20×10−11). Full BEGREM also showed lower AICc in 95/99 curves. OCP-repolarization identified Qmax=3.575 mC and kch=0.02063s−1 with profile-likelihood 95% intervals of 2.302–5.023 mC and 0.00634–0.10633 s−1. Study-held-out transfer produced RMSEs of 75.94 and 104.15 mV, indicating substantial cross-architecture penalties. BEGREM therefore provides a reproducible mechanistic observation framework with strong within-curve and module-level support, while colon-specific calibration remains necessary.

MicroorganismsVol. 14(10)
Universidad Estatal de Milagro (EC)
Openalex Percentile: Top 19%
Microbial Fuel Cells and Bioremediation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

BEGREM: A Mechanistic Bioelectrochemical Model Coupling Gut Microbial Metabolism — Ronny Fabian Amaguay Gómez, Samuel Valle-Asan, et al. · Microorganisms (2026) | TGRS Research Map | TGRS