REVIEW article
Front. Microbiol.
Sec. Systems Microbiology
This article is part of the Research TopicGenerative AI and Large Language Models in Microbial Evolution, Resistance Mechanisms, and Antimicrobial Drug DiscoveryView all 3 articles
Understanding gut microbial diversity using systems based on the Constrained-Disorder Principle provides a novel approach to targeting gut microbiome therapies
Provisionally accepted
Yaron Ilan1*
Ofer Perzon2- 1Hebrew University of Jerusalem, Jerusalem, Israel
- 2Hebrew University of Jerusalem School of Medicine, Jerusalem, Israel
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Background/Aims: The diverse composition of the gut microbiome is vital for human health, influencing digestion, immune regulation, and disease resistance. While higher diversity is generally associated with resilience, reduced and excessive diversity can lead to health issues. Methods: This paper introduces the Constrained Disorder Principle (CDP) as a new framework for understanding microbial diversity. Results: The CDP emphasizes the significance of maintaining variability within certain boundaries to sustain ecosystem stability and promote health. It considers intra-and inter-individual variability, illustrating how microbial ecosystems adapt throughout different life stages, genetic backgrounds, and environmental exposures. Integrating CDP-based artificial intelligence systems may enable the establishment of personalized diversity thresholds, predict dysbiosis, and refine interventions such as probiotics, prebiotics, fecal microbiota transplantation, and customized dietary strategies. CDP-driven platforms enhance therapeutic precision by utilizing variability induction, feedback loops, and microbial signature analysis to optimize diversity goals and identify actionable biomarkers. Conclusions: This platform can pave the way for adaptive, individualized disease prevention and treatment strategies, bridging the gap between microbial ecology and precision medicine. It provides a powerful tool for harnessing the therapeutic potential of gut microbial diversity to enhance human health.
Keywords: Digital Health, variability, gut diversity, microbiome, Artificail Intelligence
Received: 26 Sep 2025; Accepted: 21 Nov 2025.
Copyright: © 2025 Ilan and Perzon. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yaron Ilan, ilan@hadassah.org.il
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.