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Review Article | Open Access

Synthetic biology-driven microbial therapeutics: Integrated platforms for disease diagnosis and intervention

Fangyuan Ye1,2Hao Zheng1( )
College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
College of Life Sciences, China Jiliang University, Hangzhou 310018, China
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Abstract

Synthetic biology made the design of microbes as versatile therapeutic platforms possible, thereby transforming bacteria and synthetic microbial communities into programmable systems for health applications. This review summarizes recent progress in engineered bacterial therapeutics, emphasizing their roles in metabolic compensation, immune modulation, targeted delivery, and diagnostic sensing. Engineered strains have advanced from early proof-of-concept designs to sophisticated circuits that integrate environmental cues, respond to external stimuli, and achieve spatiotemporal control of therapeutic outputs. Similarly, synthetic microbial communities strategies provide ecological stability, functional redundancy, and customizable community interactions, offering advantages over single-strain interventions. Together, these approaches demonstrate a shift from conventional probiotics toward rationally designed microbial therapeutics that restore physiological balance and actively intervene in disease processes. Ongoing efforts address challenges, including colonization efficiency, biosafety, and regulatory adaptation, whereas emerging frameworks integrate multimodal sensing, intelligent feedback control, and clinical translation. This review emphasizes their potential to reshape future strategies for disease prevention, intervention, and personalized medicine by situating microbial therapeutics within the broader landscape of health engineering.

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Health Engineering
Article number: 9460011

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Cite this article:
Ye F, Zheng H. Synthetic biology-driven microbial therapeutics: Integrated platforms for disease diagnosis and intervention. Health Engineering, 2025, 1: 9460011. https://doi.org/10.26599/HE.2025.9460011

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Received: 19 September 2025
Revised: 15 October 2025
Accepted: 15 October 2025
Published: 31 December 2025
© The Author(s) 2025. Published by Tsinghua University Press.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the original author(s) and the source, a link to the license is provided, and any changes made are indicated. See (https://creativecommons.org/licenses/by/4.0/)