Metabolic Interactions of the Human Gut Microbiome

The human gastrointestinal tract hosts a dense and diverse microbial community whose collective metabolic activity profoundly influences host physiology. Microbial enzymes catabolise dietary components—such as complex carbohydrates, proteins and polyphenols—into bioactive metabolites. Short-chain fatty acids, bile acid derivatives and aromatic compounds generated by these processes engage in cross-talk with intestinal epithelial cells and systemic organs, modulating energy homeostasis, immune function and xenobiotic transformation. In addition to nutrient processing, gut bacteria biotransform pharmaceutical agents, thereby altering drug efficacy and toxicity. Inter-species interactions within the microbiota further shape community structure through metabolic cross-feeding, in which one species’ metabolic by-product serves as a substrate for another. Advancements in genome-scale metabolic modelling, high-resolution mass spectrometry and multi-omic integration have begun to map these complex networks, illuminating host–microbe symbioses and dysbioses associated with metabolic disorders, inflammatory conditions and neuroactive pathways. A mechanistic understanding of these interactions paves the way for targeted dietary interventions, microbial therapeutics and precision medicine strategies aimed at restoring or modulating host–microbiome metabolism to improve health outcomes.

Research from Nature Portfolio

Recent studies have expanded strain-resolved metabolic reconstructions to over 7,000 gut microbial strains, enabling prediction of individual drug biotransformation potential and personalised analysis of host–microbiome metabolic interactions. A taxonomically informed mass spectrometry search tool has been developed to link untargeted metabolite spectra to their microbial origins, thereby enhancing annotation of microbe-derived compounds and facilitating ecological and health-related investigations. Large-scale cohort analyses have quantified the relative contributions of diet, genetics and specific microbial taxa to plasma metabolite variability, uncovering putative causal links between microbial genera and health-relevant metabolites such as hydrogen sulfide. Combined, these advances unify computational and experimental approaches to reveal how microbial metabolic capacity shapes systemic metabolite profiles and influences host physiology.

Metabolic Interactions of the Human Gut Microbiome publication trend

The graph below shows the total number of articles in metabolic interactions of the human gut microbiome across all publications each year (not limited to Nature Index journals).

Technical terms

Genome-scale metabolic reconstruction: A computational model representing the full set of metabolic reactions in an organism.

Cross-feeding: Metabolic interaction where one species’ by-products serve as substrates for another.

Short-chain fatty acids (SCFAs): Microbial fermentation products such as acetate, propionate and butyrate that influence host energy metabolism.

Metabolome: The complete set of small-molecule metabolites in a biological sample.

Mass spectrometry (MS/MS): Analytical technique for identifying compounds by mass-to-charge fragmentation patterns in tandem mass spectrometry.

Multi-omic integration: Combined analysis of genomics, transcriptomics, proteomics and metabolomics to elucidate system-level interactions.

References

1. Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine. Nature Biotechnology (2023).
2. MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins. iMeta (2024).
3. microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics data. Nature Microbiology (2024).
4. Gut microbiota functions: metabolism of nutrients and other food components. European Journal of Nutrition (2017).
5. MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota. mSystems (2020).
6. Influence of the microbiome, diet and genetics on inter-individual variation in the human plasma metabolome. Nature Medicine (2022).