ReviewFrontiers in genetics2015
From next-generation sequencing to systematic modeling of the gut microbiome.
Review in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
54 citing papers in PubMed.
- Microbiome-mediated pharmacology of ginseng: Mechanistic insights into metabolic regulation and therapeutic potential.Journal of ginseng research · 2026Review
- A Wolbachia lineage likely representing a new supergroup (Y) dominates the microbiome of the quill mite Syringophilus bipectinatus Heller, 1880 (Acariformes: Syringophilidae).Scientific reports · 2026Article
- Review
- Using short-read 16S rRNA sequencing of multiple variable regions to generate high-quality results to a species level.Frontiers in bioinformatics · 2025Article
- Advanced Membrane Simulations in Probiotics and Gut Microbiome Interaction Research: The Current Trends and Insights.Current pharmaceutical design · 2025Review
- Review
- From the Gut to the Brain: Is Microbiota a New Paradigm in Parkinson's Disease Treatment?Cells · 2024Review
- The Evolving Microbiome of Dental Caries.Microorganisms · 2024Review
- A mathematical model of Bacteroides thetaiotaomicron, Methanobrevibacter smithii, and Eubacterium rectale interactions in the human gut.Scientific reports · 2023Article
- Microbiome modulation in inflammatory diseases: Progress to microbiome genetic engineering.Cancer cell international · 2023Review
- Human Gut Microbiota Plasticity throughout the Life Course.International journal of environmental research and public health · 2023Review
- Portal Vein Thrombosis in Patients with Liver Cirrhosis: What Went Wrong?International journal of general medicine · 2023Article
- Effects of isolation and confinement on gastrointestinal microbiota-a systematic review.Frontiers in nutrition · 2023Review
- A cloud-based pipeline for analysis of FHIR and long-read data.Bioinformatics advances · 2023Article
- The human "contaminome": bacterial, viral, and computational contamination in whole genome sequences from 1000 families.Scientific reports · 2022Article
- Untargeted Metabolomics Sensitively Differentiates Gut Bacterial Species in Single Culture and Co-Culture Systems.ACS omega · 2022Article
- Metagenomics analysis of the fecal microbiota in Ring-necked pheasants (Saudi journal of biological sciences · 2022Article
- Gallstone Disease and Bacterial Metabolic Performance of Gut Microbiota in Middle-Aged and Older Patients.International journal of general medicine · 2022Article
- Dyspepsia and Gut Microbiota in Female Patients with Postcholecystectomy Syndrome.International journal of women's health · 2022Article
- Lung microbiome of stable and exacerbated COPD patients in Tshwane, South Africa.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Changes in the human gut microbiome are associated with altered human metabolism and health, yet the mechanisms of interactions between microbial species and human metabolism have not been clearly elucidated. Next-generation sequencing has revolutionized the human gut microbiome research, but most current applications concentrate on studying the microbial diversity of communities and have at best provided associations between specific gut bacteria and human health. However, little is known about the inner metabolic mechanisms in the gut ecosystem. Here we review recent progress in modeling the metabolic interactions of gut microbiome, with special focus on the utilization of metabolic modeling to infer host-microbe interactions and microbial species interactions. The systematic modeling of metabolic interactions could provide a predictive understanding of gut microbiome, and pave the way to synthetic microbiota design and personalized-microbiome medicine and healthcare. Finally, we discuss the integration of metabolic modeling and gut microbiome engineering, which offer a new way to explore metabolic interactions across members of the gut microbiota.
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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.