ReviewMicrobiome2021
Understanding the host-microbe interactions using metabolic modeling.
Review in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
58 citing papers in PubMed.
- Gut microbial signatures in poultry under low-protein diets and lysine restriction: implications for precision nutrition.Veterinary and animal science · 2026Review
- The FERM guild: a differentially correlated microbial module drives hypertension via metabolic flux perturbations.mSystems · 2026Article
- Systems Biology and Structure-Based In Silico Evaluations of Quercetin-Psychobiotic Interactions for the Management of Depression.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Integrative Multi-Omics Reveals Microbiome and Genome Streamlining Underlie Ecological Divergence in Chinese and XinjiangInternational journal of molecular sciences · 2026Article
- From association to causation: a decision-aware framework for reproducible biomarker discovery and precision intervention design in the human gut microbiome.Briefings in bioinformatics · 2026Article
- A modified targeted culturing approach provided a snapshot into interdependencies and resistome among core anaerobic bacteria of the healthy human gut.Microbiology spectrum · 2026Article
- Metabolic modeling and functional genomics reveal taxa and host gene interactions in colorectal cancer.bioRxiv : the preprint server for biology · 2026Article
- Microbial interactions in facilitating antibiotic activity and resistance evolution.Applied and environmental microbiology · 2026Review
- Virtual Colon: spatiotemporal modeling of metabolic interactions in a computational colonic environment.mSystems · 2026Article
- The Effects of FeedingMicroorganisms · 2025Article
- Effects of Fermentation and Enzymatic Hydrolysis of Cottonseed Protein on Rumen Fermentation Characteristics, Intestinal Barrier Function, and Hepatic Metabolism in Suckling Lambs.Animals : an open access journal from MDPI · 2025Article
- Modulation of Gut Microbial Composition byNutrients · 2025Article
- The role of bacterial metabolism in antimicrobial resistance.Nature reviews. Microbiology · 2025Review
- Non-Invasive Analyses of Altered Schaedler Flora in C57Bl/6J and Balb/c Mice to Monitor Hygiene Status of a Housing Facility.Animals : an open access journal from MDPI · 2025Article
- Fecal microbiota transplant from long-living Ames dwarf mice alters the microbial composition and biomarkers of liver health in normal mice.GeroScience · 2025Article
- Interspecies interactions mediated by arginine metabolism enhance the stress tolerance ofMicrobiology spectrum · 2025Article
- Metabolic network reconstruction as a resource for analyzing Salmonella Typhimurium SL1344 growth in the mouse intestine.PLoS computational biology · 2025Article
- Utility of Machine Learning to Characterize Gut Microbiota Dysbiosis and Its Clinical Implications in Inflammatory Bowel Disease.Journal of inflammation research · 2025Review
- Article
- Cross-comparison of gut metagenomic profiling strategies.Communications biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human gut harbors an enormous number of symbiotic microbes, which is vital for human health. However, interactions within the complex microbiota community and between the microbiota and its host are challenging to elucidate, limiting development in the treatment for a variety of diseases associated with microbiota dysbiosis. Using in silico simulation methods based on flux balance analysis, those interactions can be better investigated. Flux balance analysis uses an annotated genome-scale reconstruction of a metabolic network to determine the distribution of metabolic fluxes that represent the complete metabolism of a bacterium in a certain metabolic environment such as the gut. Simulation of a set of bacterial species in a shared metabolic environment can enable the study of the effect of numerous perturbations, such as dietary changes or addition of a probiotic species in a personalized manner. This review aims to introduce to experimental biologists the possible applications of flux balance analysis in the host-microbiota interaction field and discusses its potential use to improve human health. Video abstract.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.