ArticleNature microbiology2026
Cayman enables large-scale analysis of gut microbiome carbohydrate-active enzyme repertoires.
Article in Nature microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed.
- Resistant starch types 2 and 4 induce distinct and reversible changes in the human gut microbiome.Microbiology spectrum · 2026Trial
- Health benefits of a five-day at-home modified fasting program: a randomised controlled trial.Genome medicine · 2026Trial
- Article
- CAMEO: a CAZyme mapping engine optimized for HUMAnN.Microbiology resource announcements · 2026Article
- Iron-AmendedFoods (Basel, Switzerland) · 2026Article
- Host genetics shapes the recovery of the gut microbiome after antibiotic treatment: the role of the blood group relatedmSystems · 2026Article
- Temporary dietary fiber depletion prompts rapid and lasting gut microbiota restructuring in mice.Microbiology spectrum · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Carbohydrate-active enzymes (CAZymes) are crucial for digesting glycans, but tools for CAZyme profiling and interpretation of substrate preferences in microbiome data are lacking. Here we develop a CAZyme profiler called Cayman (Carbohydrate Active Enzymes Profiling of Metagenomes) and a hierarchical substrate annotation scheme for use with genomic or shotgun metagenomic datasets. Using these tools, we systematically surveyed CAZymes in human gut microorganisms (n = 107,683 genomes) and identified several putative mucin-foraging bacteria, including Hungatella and Eisenbergiella species, which were confirmed experimentally. We compared CAZymes in gut metagenomes (n = 3,960) from high-income settings versus low- and middle-income settings and found that low- and middle-income setting metagenomes are enriched in fibre-degrading CAZymes, while CAZyme richness is generally higher in high-income setting metagenomes. Additional analysis (n = 1,998) indicated that metagenomes of individuals with colorectal cancer are depleted in fibre-targeting and enriched in glycosaminoglycan-targeting CAZymes. Finally, we inferred CAZyme substrates from genomic co-localization of CAZyme domains. Cayman is broadly applicable and freely available from https://github.com/zellerlab/cayman .
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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 Socratic graph.