Quorum Sensing Modulation in Bacterial Pathogenesis

Quorum sensing (QS) is a universal mechanism by which bacteria coordinate collective behaviours, including the expression of virulence factors and the formation of biofilms, in response to changes in cell‐population density. This cell–cell communication relies on the synthesis, secretion and detection of small signal molecules known as autoinducers. As bacterial pathogens reach a critical concentration, autoinducer accumulation triggers a transcriptional cascade that regulates genes essential for host colonisation, immune evasion and tissue damage. Modulating QS pathways has emerged as a promising therapeutic strategy to attenuate pathogenicity without inducing the selective pressure associated with traditional antibiotics. Approaches to disrupt QS include the development of small‐molecule inhibitors that compete with native signals, enzymatic quenching of signal molecules and the use of nanomaterials to intercept signal production or perception. These strategies can impair biofilm maturation, reduce toxin production and enhance bacterial clearance by host defences. Interdisciplinary research has elucidated the structural basis of signal–receptor interactions, the kinetic parameters of signal turnover and the ecological consequences of QS disruption within polymicrobial communities. Ultimately, fine‐tuning QS networks offers a means to disarm pathogens while preserving commensal microbiota, thereby mitigating the emergence of multidrug resistance and supporting global antimicrobial stewardship.

Research from Nature Portfolio

Recent studies have characterised the molecular interactions between a plant-derived small molecule and QS receptors in a model pathogen to reveal how competitive antagonism can collapse communication circuits. Computational docking and crystallographic analysis demonstrated that the inhibitor binds the receptor’s signal-binding pocket via specific hydrogen bonds and hydrophobic contacts. In vitro assays confirmed a pronounced decrease in biofilm formation and virulence factor secretion, while in vivo infection models exhibited enhanced survival and reduced inflammatory damage. Transcriptome profiling further showed a broad repression of QS-controlled genes, underscoring the potential of such compounds as anti-virulence agents.

Quorum Sensing Modulation in Bacterial Pathogenesis publication trend

The graph below shows the total number of articles in quorum sensing modulation in bacterial pathogenesis across all publications each year (not limited to Nature Index journals).

Technical terms

Quorum sensing (QS): Bacterial cell–cell communication mechanism in which the concentration of signalling molecules controls collective gene expression.

Autoinducers (AIs): Small diffusible molecules produced by bacteria to relay population density information and activate QS pathways.

Quorum quenching (QQ): Strategies that disrupt QS by degrading signals, blocking their synthesis or hindering receptor binding.

Biofilm: Surface-attached multicellular bacterial community encased in a self-produced extracellular matrix.

Quorum sensing inhibitors (QSIs): Chemicals that prevent QS activation by competing with natural signals or inactivating key regulatory proteins.

Lactonases: Enzymes that hydrolyse N-acyl homoserine lactone signals, thereby attenuating QS-mediated communication.

References

1. Bacterial quorum sensing orchestrates longitudinal interactions to shape microbiota assembly. Microbiome (2023).
2. Nanomaterials Regulate Bacterial Quorum Sensing: Applications, Mechanisms, and Optimization Strategies. Advanced Science (2024).
3. Catalytic Redundancies and Conformational Plasticity Drives Selectivity and Promiscuity in Quorum Quenching Lactonases. JACS Au (2024).
4. Quorum Quenching Enzymes and Their Application in Degrading Signal Molecules to Block Quorum Sensing-Dependent Infection. International Journal of Molecular Sciences (2013).
5. It is the time for quorum sensing inhibition as alternative strategy of antimicrobial therapy. Cell Communication and Signaling (2023).