aceQuorum-sensing, microbiome interactions, and emerging artificial intelligence-assisted anti-virulence strategies in Salmonella Typhi: a critical review of translational opportunities and challenges
Typhoid fever, caused by Salmonella enterica subsp. enterica serovar Typhi (Salmonella Typhi), remains a significant global health challenge that is increasingly complicated by the emergence and spread of multidrug-resistant (MDR) and extensively drug-resistant strains. Growing limitations of antibiotic-centered treatment strategies have stimulated interest in anti-virulence approaches targeting bacterial regulatory networks rather than viability alone. Among these, quorum-sensing (QS), particularly the LuxS-med…
AI with multi-omics and systems-level frameworks was used to support target identification, microbial network reconstruction, biomarker discovery, and therapeutic prioritization for anti-virulence strategies against Salmonella Typhi.
Evidence for QS-targeted interventions in S. Typhi is predominantly investigational with limited in vivo validation and insufficient mechanistic evidence specific to S. Typhi, plus lack of clinically validated biomarkers and concerns about microbiome variability and delivery.
Evidence
- Peer-reviewedArchives of Microbiology2026-07-30
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Truvace Impact Record TRV-2026-0598, v2: “Quorum-sensing, microbiome interactions, and emerging artificial intelligence-assisted anti-virulence strategies in Salmonella Typhi: a critical review of translational opportunities and challenges.” Truvace, 2026-10-26. /record/TRV-2026-0598 (accessed at citation time). sha256 2929b3840d1b0d2d…
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