ArticleNature communications2019
Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 4 of them syntheses that pooled it.
What it found
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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
137 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The gut microbiome-metabolome dataset collection: a curated resource for integrative meta-analysis.NPJ biofilms and microbiomes · 2022Pooled it
- Meta-Analysis of Altered Gut Microbiota Reveals Microbial and Metabolic Biomarkers for Colorectal Cancer.Microbiology spectrum · 2022Pooled it
- A meta-analysis study of the robustness and universality of gut microbiome-metabolome associations.Microbiome · 2021Pooled it
- Recent Advanced Technologies for the Characterization of Xenobiotic-Degrading Microorganisms and Microbial Communities.Frontiers in bioengineering and biotechnology · 2021Pooled it
- Trial
- Glucocorticoid-induced changes of the gut microbiota and metabolic markers in healthy young men: Outcome of a randomized controlled trial.Cell reports. Medicine · 2025Trial
- Trial
- Fecal Microbiome Composition Does Not Predict Diet-Induced TMAO Production in Healthy Adults.Journal of the American Heart Association · 2021Trial
- Adjunctive Probiotics Alleviates Asthmatic Symptoms via Modulating the Gut Microbiome and Serum Metabolome.Microbiology spectrum · 2021Trial
- Article
- Gut microbiome shifts in chronic systolic heart failure are associated with disease severity and clinical improvement.Nature cardiovascular research · 2026Article
- The Biotechnological Applications of Marine Bacteria.Biology · 2026Review
- Joint-RPCA: domain-aware multi-omics integration for systems microbiology.Molecular systems biology · 2026Article
- Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects.iMeta · 2026Review
- Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.Statistics in medicine · 2026Article
- AI-empowered human microbiome research.Gut · 2026Review
- Gut microbiome modulates breast cancer risk in socially isolated mice.Breast cancer research : BCR · 2026Article
- Navigating multi-omic integration methods for human microbiome research.Nature microbiology · 2026Review
- Probiotics and the Human Microbiome: Classical Functions, Emerging Systemic Roles, and Future Therapeutic Frontiers.Biology · 2026Review
- Gut microbial community structure, metabolic signature, and resistome in dyslipidemia: implications for cardiovascular disease management.Microbiology spectrum · 2026Article
77 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Microbial community metabolomics, particularly in the human gut, are beginning to provide a new route to identify functions and ecology disrupted in disease. However, these data can be costly and difficult to obtain at scale, while amplicon or shotgun metagenomic sequencing data are readily available for populations of many thousands. Here, we describe a computational approach to predict potentially unobserved metabolites in new microbial communities, given a model trained on paired metabolomes and metagenomes from the environment of interest. Focusing on two independent human gut microbiome datasets, we demonstrate that our framework successfully recovers community metabolic trends for more than 50% of associated metabolites. Similar accuracy is maintained using amplicon profiles of coral-associated, murine gut, and human vaginal microbiomes. We also provide an expected performance score to guide application of the model in new samples. Our results thus demonstrate that this 'predictive metabolomic' approach can aid in experimental design and provide useful insights into the thousands of community profiles for which only metagenomes are currently available.
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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 OpenQuestion graph.