ArticleiScience2020
Critical Network Structures and Medical Ecology Mechanisms Underlying Human Microbiome-Associated Diseases.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- Critical complex network structures in animal gastrointestinal tract microbiomes.Animal microbiome · 2024Article
- Towards a unified medical microbiome ecology of the OMU for metagenomes and the OTU for microbes.BMC bioinformatics · 2024Article
- A network perspective on the ecology of gut microbiota and progression of type 2 diabetes: Linkages to keystone taxa in a Mexican cohort.Frontiers in endocrinology · 2023Article
- Power law analysis of the human milk microbiome.Archives of microbiology · 2022Article
- Stochastic neutral drifts seem prevalent in driving human virome assembly: Neutral, near-neutral and non-neutral theoretic analyses.Computational and structural biotechnology journal · 2022Article
- Shared Species Analysis, Augmented by Stochasticity Analysis, Is More Effective Than Diversity Analysis in Detecting Variations in the Gut Microbiomes.Frontiers in microbiology · 2022Article
- Microbial community networks across body sites are associated with susceptibility to respiratory infections in infants.Communications biology · 2021Article
- Cross-Scale Analyses of Animal and Human Gut Microbiome Assemblies from Metacommunity to Global Landscape.mSystems · 2021Article
- Niche-neutral theoretic approach to mechanisms underlying the biodiversity and biogeography of human microbiomes.Evolutionary applications · 2021Article
- Population-level diversity-disease relationship (Computational and structural biotechnology journal · 2021Article
- Structure and Dynamics of the Breast Tissue Microbiomes Under Tumor Influences: An Approach With Neutral, Near-Neutral, and Niche-Neutral Hybrid Models.Frontiers in microbiology · 2021Article
- Article
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Authors and funding
1 author.
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Abstract
A fundamental problem in studies on human microbiome-associated diseases (MADs) is to understand the relationships between microbiome structures and health status of hosts. For example, species diversity metrics have been routinely evaluated in virtually all studies on MADs, yet a recent meta-analysis revealed that, in only approximately one-third of the cases, diversity and diseases were related. In this study, we ask whether Hubbell's neutral theory (supplemented with the normalized stochasticity ratio [NSR]) or critical microbiome network structures may offer better alternatives. Whereas neutral theory and NSR focus on stochastic processes, we use core/periphery and high-salience skeleton networks to evaluate deterministic, asymmetrical niche effects, assuming that all species or their interactions were not "born" equal and focusing on non-neutral, critical network structures. We found that properties of critical network structures are more indicative of disease effects. Finally, seven findings (mechanisms, interpretations, and postulations) regarding medical ecology mechanisms underlying MADs were summarized.
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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.