ArticleGigaScience2015
Metabolome of human gut microbiome is predictive of host dysbiosis.
Article in GigaScience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.
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Who cites it
59 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dietary intervention improves metabolic levels in patients with type 2 diabetes through the gut microbiota: a systematic review and meta-analysis.Frontiers in nutrition · 2023Pooled it
- Alterations in Blood Markers, Rumen Fermentation, and Microbiota Due to Heat Stress in Holstein Cows During the Dry Period and Early Lactation.Animals : an open access journal from MDPI · 2026Article
- Intratumoral microbial networks as biomarkers for second primary oral cancer risk in esophageal squamous cell carcinoma.Scientific reports · 2026Article
- Broad-spectrum antibiotic treatment reshapes the gut microbiome, resistome, and colonization potential of opportunistic pathogens: a metagenomics study.Gut pathogens · 2026Article
- Sex-dependent modulation of acute respiratory distress syndrome byFrontiers in immunology · 2025Article
- Longitudinal Microbiome-based Interpretable Machine Learning for Identification of Time-Varying Biomarkers in Early Prediction of Disease Outcomes.bioRxiv : the preprint server for biology · 2024Article
- A Proteogenomic Approach to Unveiling the Complex Biology of the Microbiome.International journal of molecular sciences · 2024Review
- Gut microbiome-metabolome interactions predict host condition.Microbiome · 2024Article
- The increased tendency for anemia in traditional Chinese medicine deficient body constitution is associated with the gut microbiome.Frontiers in nutrition · 2024Article
- IntegratedNAR genomics and bioinformatics · 2023Article
- Exploring methods to summarize gut microbiota composition for microbiability estimation and phenotypic prediction in swine.Journal of animal science · 2022Article
- Profiling gut microbiota and bile acid metabolism in critically ill children.Scientific reports · 2022Article
- Pivotal Dominant Bacteria Ratio and Metabolites Related to Healthy Body Index Revealed by Intestinal Microbiome and Metabolomics.Indian journal of microbiology · 2022Article
- Multi-omics data integration reveals metabolome as the top predictor of the cervicovaginal microenvironment.PLoS computational biology · 2022Article
- Alterations of the Intestinal Permeability are Reflected by Changes in the Urine Metabolome of Young Autistic Children: Preliminary Results.Metabolites · 2022Article
- Axial spondyloarthritis patients have altered mucosal IgA response to oral and fecal microbiota.Frontiers in immunology · 2022Article
- Modeling interaction networks between host, diet, and bacteria predicts obesogenesis in a mouse model.Frontiers in molecular biosciences · 2022Article
- MiMeNet: Exploring microbiome-metabolome relationships using neural networks.PLoS computational biology · 2021Article
- Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.Frontiers in microbiology · 2021Review
- Bacterial Microbiota-derived Extracellular Vesicles in Children With Allergic Airway Diseases: Compositional and Functional Features.Allergy, asthma & immunology research · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHumans live in constant and vital symbiosis with a closely linked bacterial ecosystem called the microbiome, which influences many aspects of human health. When this microbial ecosystem becomes disrupted, the health of the human host can suffer; a condition called dysbiosis. However, the community compositions of human microbiomes also vary dramatically from individual to individual, and over time, making it difficult to uncover the underlying mechanisms linking the microbiome to human health. We propose that a microbiome's interaction with its human host is not necessarily dependent upon the presence or absence of particular bacterial species, but instead is dependent on its community metabolome; an emergent property of the microbiome.
resultsUsing data from a previously published, longitudinal study of microbiome populations of the human gut, we extrapolated information about microbiome community enzyme profiles and metabolome models. Using machine learning techniques, we demonstrated that the aggregate predicted community enzyme function profiles and modeled metabolomes of a microbiome are more predictive of dysbiosis than either observed microbiome community composition or predicted enzyme function profiles.
conclusionsSpecific enzyme functions and metabolites predictive of dysbiosis provide insights into the molecular mechanisms of microbiome-host interactions. The ability to use machine learning to predict dysbiosis from microbiome community interaction data provides a potentially powerful tool for understanding the links between the human microbiome and human health, pointing to potential microbiome-based diagnostics and therapeutic interventions.
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