ReviewApplied and environmental microbiology2024
Progress on network modeling and analysis of gut microecology: a review.
Review in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- The Role of Artificial Intelligence and Machine Learning in Revolutionizing Probiotic Research.Microorganisms · 2026Review
- Optimization and application of probiotics complex for grouper based on dynamic model.World journal of microbiology & biotechnology · 2026Article
- A New Framework to Empower Ecosystem Assessment Through the Integration of eDNA Inventories, Graph Theory and Niche Modelling.Ecology letters · 2026Article
- A horizontal connectivity mode in coastal oceans: transport overrides stratification to govern microbiome network stability.Applied and environmental microbiology · 2026Article
- Decoding immunotherapy response through computational modeling.Nature communications · 2026Review
- A modified targeted culturing approach provided a snapshot into interdependencies and resistome among core anaerobic bacteria of the healthy human gut.Microbiology spectrum · 2026Article
- Network Analysis in Microbiome Research: Methods, Tools, and Applications.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Quorum-sensing microbial dark matter enables core functions in wastewater microbiomes.ISME communications · 2026Article
- SIMBA-GNN: mechanistic graph learning for microbiome prediction.NPJ systems biology and applications · 2025Article
- Ecological Insights into Gut Microbiota Networks Across Cognitive States in Alzheimer's Disease.Microbial ecology · 2025Article
- Multi-omic profiling reveals distinct gut microbial and metabolic landscapes in golden snub-nosed monkeys under contrasting conservation strategies.NPJ biofilms and microbiomes · 2025Article
- Gut Microbiota Provide Co-Existing Strategies for Two Species of Symmetrically Distributed Rodents in Competition for Food.Ecology and evolution · 2025Article
- Article
- Review
- Compositional and functional gut microbiota alterations in mild cognitive impairment: links to Alzheimer's disease pathology.Alzheimer's research & therapy · 2025Article
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
No grant is acknowledged in the PubMed record.
Abstract
The gut microecological network is a complex microbial community within the human body that plays a key role in linking dietary nutrition and host physiology. To understand the complex relationships among microbes and their functions within this community, network analysis has emerged as a powerful tool. By representing the interactions between microbes and their associated omics data as a network, we can gain a comprehensive understanding of the ecological mechanisms that drive the human gut microbiota. In addition, the network-based approach provides a more intuitive analysis of the gut microbiota, simplifying the study of its complex dynamics and interdependencies. This review provides a comprehensive overview of the methods used to construct and analyze networks in the context of gut microecological background. We discuss various types of network modeling approaches, including co-occurrence networks, causal networks, dynamic networks, and multi-omics networks, and describe the analytical techniques used to identify important network properties. We also highlight the challenges and limitations of network modeling in this area, such as data scarcity and heterogeneity, and provide future research directions to overcome these limitations. By exploring these network-based methods, researchers can gain valuable insights into the intricate relationships and functional roles of microbial communities within the gut, ultimately advancing our understanding of the gut microbiota's impact on human health.
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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.