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Published on: May 2, 2018
Divergent mechanistic pathways of diarrheagenic bacterial infections at the host-microbiota interface: a review
Michael Tosin Bayode1, Oluwatoyosi Ezekiel Olawale2, Olubukola Olayemi Olusola-Makinde2
1Department of Microbiology, School of Life Sciences, Federal University of Technology Akure, P.M.B 704, Akure, Ondo State, Nigeria. bayodemtmcb@futa.edu.ng.
Insights
Bacterial diarrheal diseases are a major global health burden. This review compares how pathogens like ETEC, Shigella, Salmonella, and C. difficile interact with the host and microbiota, revealing new therapeutic targets.
Area of Science:
- Microbiology
- Immunology
- Gastroenterology
Background:
- Bacterial diarrheal diseases pose significant global health challenges, especially in children in low-resource areas.
- Key pathogens like Enterotoxigenic Escherichia coli (ETEC), Shigella, Salmonella enterica, and Clostridioides difficile cause diarrhea through distinct molecular mechanisms.
- Understanding the complex interplay between host, pathogen, and microbiota is crucial for developing effective treatments.
Purpose of the Study:
- To provide a comparative analysis of the pathogenicity mechanisms of major bacterial diarrheal agents.
- To explore the role of the gut microbiota as a dynamic third player in the host-pathogen interaction.
- To identify novel therapeutic vulnerabilities based on these mechanistic insights.
Main Methods:
- Comparative analysis of molecular strategies employed by ETEC, Shigella, Salmonella, and C. difficile.
- Integration of recent findings on the microbiota's role in colonization resistance and pathogen fuel provision.
- Synthesis of advanced molecular insights, including T3SS energetics, effector-immunity interactions, and toxin receptor diversity.
Main Results:
- Pathogenicity is defined by pathogens' unique management of host-microbiota metabolic and signaling conflicts.
- The microbiota can either confer colonization resistance (bile acids, proline) or promote pathogen expansion (formate, tetrathionate).
- Specific molecular mechanisms include Shigella's Spa47, OspC1/OspD3 interactions with necroptosis, Salmonella's T3SS-2 targets (LMO4, SteA), and C. difficile TcdB receptor diversity.
Conclusions:
- Next-generation therapies should move beyond broad-spectrum antibiotics.
- Precision bacteriophage biocontrol and AI-discovered lysins represent promising future interventions.
- Targeting the host-microbiota-pathogen axis offers a novel therapeutic paradigm for bacterial diarrhea.
Abstract:
Bacterial diarrheal diseases continue to constitute a major burden on global public health, particularly within pediatric populations in low-resource settings. While clinically unified by the symptomology of diarrhea, the primary causative agents; Enterotoxigenic Escherichia coli (ETEC), Shigella species, Salmonella enterica, and Clostridioides difficile employ fundamentally distinct molecular strategies to subvert intestinal homeostasis. This review presents a comparative analysis of these ecosystem engineers, proposing that their pathogenicity is defined by their unique management of the host-microbiota metabolic and signaling conflict. We advance beyond the traditional host-pathogen dyad to explore a mechanistic triangle, integrating recent findings that the microbiota acts as a dynamic third player imposing colonization resistance via secondary bile acids and nutrient competition (proline), or conversely, providing metabolic fuel (formate, tetrathionate) for pathogen expansion. We synthesize advanced molecular insights from including the energetics of the Shigella T3SS sorting platform (Spa47); the multilayered "effector-immunity arms race" involving the Shigella effectors OspC1 and OspD3 in manipulating necroptosis; novel Salmonella T3SS-2 targets such as LMO4 and SteA-mediated ER contact sites; and the receptor diversity of C. difficile TcdB variants. Finally, we map these mechanisms to next-generation therapeutic vulnerabilities, highlighting the transition from broad-spectrum antibiotics to precision bacteriophage biocontrol (LPEK22, LPST94) and AI-discovered lysins (DeepLysin) as the future of intervention.
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