ReviewCurrent opinion in biotechnology2013
Towards a predictive systems-level model of the human microbiome: progress, challenges, and opportunities.
Review in Current opinion in biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Characterizing the Composition of the Pediatric Gut Microbiome: A Systematic Review.Nutrients · 2019Pooled it
- Computational and multi-omics systems biology for precision microbiome therapeutics.Frontiers in microbiomes · 2026Review
- A framework for the targeted recruitment of crop-beneficial soil taxa based on network analysis of metagenomics data.Microbiome · 2023Article
- Pathway Tools Management of Pathway/Genome Data for Microbial Communities.Frontiers in bioinformatics · 2022Article
- NetCom: A Network-Based Tool for Predicting Metabolic Activities of Microbial Communities Based on Interpretation of Metagenomics Data.Microorganisms · 2021Article
- An extended reconstruction of human gut microbiota metabolism of dietary compounds.Nature communications · 2021Article
- Defining how microorganisms benefit human health.Microbial biotechnology · 2021Article
- Microbial community compositions in breast implant biofilms associated with contracted capsules.PloS one · 2021Article
- Computational Modeling of the Human Microbiome.Microorganisms · 2020Review
- Network and Systems Medicine: Position Paper of the European Collaboration on Science and Technology Action on Open Multiscale Systems Medicine.Network and systems medicine · 2020Review
- Consumer Safety Considerations of Skin and Oral Microbiome Perturbation.Clinical microbiology reviews · 2019Review
- Microbial community design: methods, applications, and opportunities.Current opinion in biotechnology · 2019Review
- Deforestation impacts network co-occurrence patterns of microbial communities in Amazon soils.FEMS microbiology ecology · 2019Article
- Intestinal microbiome landscaping: insight in community assemblage and implications for microbial modulation strategies.FEMS microbiology reviews · 2017Review
- High-resolution characterization of the human microbiome.Translational research : the journal of laboratory and clinical medicine · 2017Review
- Bacterial Diversity of the Gastric Content of Preterm Infants during Their First Month of Life at the Hospital.Frontiers in nutrition · 2017Article
- Towards an Integrative Understanding of Diet-Host-Gut Microbiome Interactions.Frontiers in immunology · 2017Article
- Microbiome therapeutics - Advances and challenges.Advanced drug delivery reviews · 2016Review
- Review
- Community-level cohesion without cooperation.eLife · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The human microbiome represents a vastly complex ecosystem that is tightly linked to our development, physiology, and health. Our increased capacity to generate multiple channels of omic data from this system, brought about by recent advances in high throughput molecular technologies, calls for the development of systems-level methods and models that take into account not only the composition of genes and species in a microbiome but also the interactions between these components. Such models should aim to study the microbiome as a community of species whose metabolisms are tightly intertwined with each other and with that of the host, and should be developed with a view towards an integrated, comprehensive, and predictive modeling framework. Here, we review recent work specifically in metabolic modeling of the human microbiome, highlighting both novel methodologies and pressing challenges. We discuss various modeling approaches that lay the foundation for a full-scale predictive model, focusing on models of interactions between microbial species, metagenome-scale models of community-level metabolism, and models of the interaction between the microbiome and the host. Continued development of such models and of their integration into a multi-scale model of the microbiome will lead to a deeper mechanistic understanding of how variation in the microbiome impacts the host, and will promote the discovery of clinically relevant and ecologically relevant insights from the rich trove of data now available.
Indexed as
Identifiers
What OpenQuestion holds
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.