ArticleGenome medicine2020
High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans.
Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 22 citations in OpenAlex.
- Multiomic Analysis of the Gut Microbiome and Serum Metabolome in Response to a Low-Carbohydrate, High-Protein Diet in Individuals With Spinal Cord Injury.Topics in spinal cord injury rehabilitation · 2025Trial
- Microbial neuroscience: The gut microbiota as a cognitive layer.Trends open · 2026Review
- Learning ecosystem-scale dynamics from microbiome data with MDSINE2.Nature microbiology · 2025Article
- Article
- Sugar-sweetened beverage intake, gut microbiota, circulating metabolites, and diabetes risk in Hispanic Community Health Study/Study of Latinos.Cell metabolism · 2025Article
- Principles and challenges of modeling temporal and spatial omics data.Nature methods · 2023Review
- Small molecule metabolites: discovery of biomarkers and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Glycan-related genes in human gut microbiota exhibit differential distribution and diversity in carbohydrate degradation and glycan synthesis.Frontiers in molecular biosciences · 2023Article
- Short-Term Grape Consumption Diminishes UV-Induced Skin Erythema.Antioxidants (Basel, Switzerland) · 2022Article
- MDITRE: Scalable and Interpretable Machine Learning for Predicting Host Status from Temporal Microbiome Dynamics.mSystems · 2022Article
- Ecological dynamics of the gut microbiome in response to dietary fiber.The ISME journal · 2022Article
- Gut Microbiome Composition Is Predictive of Incident Type 2 Diabetes in a Population Cohort of 5,572 Finnish Adults.Diabetes care · 2022Article
- Translating the human microbiome: a path to improving health.Genome medicine · 2021Article
- Re-evaluation of polydextrose (E 1200) as a food additive.EFSA journal. European Food Safety Authority · 2021Article
- Emerging computational tools and models for studying gut microbiota composition and function.Current opinion in biotechnology · 2020Review
- Establishment and function of chromatin modification at enhancers.Open biology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundDietary glycans, widely used as food ingredients and not directly digested by humans, are of intense interest for their beneficial roles in human health through shaping the microbiome. Characterizing the consistency and temporal responses of the gut microbiome to glycans is critical for rationally developing and deploying these compounds as therapeutics.
methodsWe investigated the effect of two chemically distinct glycans (fructooligosaccharides and polydextrose) through three clinical studies conducted with 80 healthy volunteers. Stool samples, collected at dense temporal resolution (~ 4 times per week over 10 weeks) and analyzed using shotgun metagenomic sequencing, enabled detailed characterization of participants' microbiomes. For analyzing the microbiome time-series data, we developed MC-TIMME2 (Microbial Counts Trajectories Infinite Mixture Model Engine 2.0), a purpose-built computational tool based on nonparametric Bayesian methods that infer temporal patterns induced by perturbations and groups of microbes sharing these patterns.
resultsOverall microbiome structure as well as individual taxa showed rapid, consistent, and durable alterations across participants, regardless of compound dose or the order in which glycans were consumed. Significant changes also occurred in the abundances of microbial carbohydrate utilization genes in response to polydextrose, but not in response to fructooligosaccharides. Using MC-TIMME2, we produced detailed, high-resolution temporal maps of the microbiota in response to glycans within and across microbiomes.
conclusionsOur findings indicate that dietary glycans cause reproducible, dynamic, and differential alterations to the community structure of the human microbiome.
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