Metabolic modeling for probiotic and prebiotic production to treat inflammatory disorders

Conceptual scheme of the strategy to integrate Genome–Scale Metabolic Models and Flux Balance Analysis for studying, designing, and testing novel probiotics. • Metabolic diversity of microbial communities allows for widespread applications. • Genome–Scale Metabolic Models are useful tools for studying microbial communities. • Flux Balance Analysis arises as a promising tool for probiotics design and testing. • Metabolic modeling is used for testing probiotics in inflammatory disorders. • Probiotics can complement treatments to increase effectiveness and life quality. The importance of bacterial communities has been acknowledged over the past decades. Their applications span from the study of their role in ecosystems, the use of biofilms in nature and industry, the use of bacterial cultures for biotechnological purposes (such as the production of compounds and photovoltaic energy, and bioremediation), to their investigation in human health, particularly the gut microbiome, for the modulation of the metabolism and the immune system. Here we propose a perspective highlighting the importance of engineering microbial communities to leverage Genome-Scale Metabolic Models (GSMMs) for testing probiotics with therapeutic potential. Specifically, we envision that multispecies genome-scale community metabolic models can be employed to decipher metabolic routes for probiotic and prebiotic production to treat inflammatory diseases.

Authors

Institutions

Publication Details

Journal
Chemical Engineering Journal
Published
2024-11-20
DOI
https://doi.org/10.1016/j.cej.2024.157852
Citations
6
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
1.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metabolic modeling for probiotic and prebiotic production to treat inflammatory disorders

Matteo Barberis, Alejandra Rojas López
6 citations
Chemical Engineering Journal
Microbial Metabolic Engineering and Bioproduction
1.40
article

Metabolic modeling for probiotic and prebiotic production to treat inflammatory disorders

Matteo Barberis, Alejandra Rojas López
article en
6 citations

Abstract

Conceptual scheme of the strategy to integrate Genome–Scale Metabolic Models and Flux Balance Analysis for studying, designing, and testing novel probiotics. • Metabolic diversity of microbial communities allows for widespread applications. • Genome–Scale Metabolic Models are useful tools for studying microbial communities. • Flux Balance Analysis arises as a promising tool for probiotics design and testing. • Metabolic modeling is used for testing probiotics in inflammatory disorders. • Probiotics can complement treatments to increase effectiveness and life quality. The importance of bacterial communities has been acknowledged over the past decades. Their applications span from the study of their role in ecosystems, the use of biofilms in nature and industry, the use of bacterial cultures for biotechnological purposes (such as the production of compounds and photovoltaic energy, and bioremediation), to their investigation in human health, particularly the gut microbiome, for the modulation of the metabolism and the immune system. Here we propose a perspective highlighting the importance of engineering microbial communities to leverage Genome-Scale Metabolic Models (GSMMs) for testing probiotics with therapeutic potential. Specifically, we envision that multispecies genome-scale community metabolic models can be employed to decipher metabolic routes for probiotic and prebiotic production to treat inflammatory diseases.

Chemical Engineering JournalVol. 502
University of Surrey (GB)
University of Surrey, Faculty of Health and Medical Sciences, University of Western Australia
Zero hunger
Openalex Percentile: Top 18%
Microbial Metabolic Engineering and Bioproduction
1.40
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.

Metabolic modeling for probiotic and prebiotic production to treat inflammatory disorders — Matteo Barberis, Alejandra Rojas López · Chemical Engineering Journal (2024) | TGRS Research Map | TGRS