Adjuvant effect of cranberry proanthocyanidin active fraction on antivirulent property of ciprofloxacin against Pseudomonas aeruginosa.

Quorum sensing inhibitors (QSIs) act as antivirulent agents since quorum sensing (QS) plays a vital role in regulating pathogenesis of Pseudomonas aeruginosa. However, application of single QSI may not be effective as pathogen is vulnerable to successful mutations. In such conditions, combination of QSIs can be exploited as there can be synergistic or adjuvant action. In the present study, we evaluated the antivirulence efficacy of combination of Vaccinium macrocarpon proanthocyanidin active fraction (PAF) and ciprofloxacin (CIP) at their sub-MICs using standard methods followed by analysis of their mode of action on QS using TLC and molecular docking. There was significant improvement in action of CIP when it was combined with PAF in reducing the QS controlled virulence factors (p < 0.05), motilities and biofilm of P. aeruginosa. TLC profiles of QS signals [(Acyl homoserine lactone (AHL) and Pseudomonas quinolone signal (PQS)] indicated that CIP in combination with PAF, besides showing inhibitory action on production of AHLs, also modulated production and inactivation of PQS. Docking scores also supported the observation. We therefore hypothesize that PAF-CIP combination, having improved anti-virulence property; can be exploited as a potent drug pairing against P. aeruginosa.

A systems biological approach reveals multiple crosstalk mechanism between gram-positive and negative bacterial infections: an insight into core mechanism and unique molecular signatures.

BACKGROUND: Bacterial infections remain a major threat and a leading cause of death worldwide. Most of the bacterial infections are caused by gram-positive and negative bacteria, which are recognized by Toll-like receptor (TLR) 2 and 4, respectively. Activation of these TLRs initiates multiple pathways that subsequently lead to effective immune response. Although, both the TLRs share common signaling mechanism yet they may exhibit specificity as well, resulting in the release of diverse range of inflammatory mediators which could be used as candidate biomolecules for bacterial infections. RESULTS: We adopted systems biological approach to identify signaling pathways mediated by TLRs to determine candidate molecules associated with bacterial infections. We used bioinformatics concepts, including literature mining to construct protein-protein interaction network, prioritization of TLRs specific nodes using microarray data and pathway analysis. Our constructed PPI network for TLR 2 (nodes: 4091 and edges: 66068) and TLR 4 (node: 4076 and edges: 67898) showed 3207 common nodes, indicating that both the TLRs might share similar signaling events that are attributed to cell migration, MAPK pathway and several inflammatory cascades. Our results propose the potential collaboration between the shared signaling pathways of both the receptors may enhance the immune response against invading pathogens. Further, to identify candidate molecules, the TLRs specific nodes were prioritized using microarray differential expressed genes. Of the top prioritized TLR 2 molecules, 70% were co-expressed. A similar trend was also observed within TLR 4 nodes. Further, most of these molecules were preferentially found in blood plasma for feasible diagnosis. CONCLUSIONS: The analysis reveals the common and unique mechanism regulated by both the TLRs that provide a broad perspective of signaling events in bacterial infections. Further, the identified candidate biomolecules could potentially aid future research efforts concerning the possibility in differential diagnosis of gram-positive and negative bacterial infections.