Abstract
Vibrio cholerae, the causative agent of cholera, poses a continuous threat to global public health, especially in regions with poor sanitation. Its ability to form biofilms and rapidly acquire antimicrobial resistance (AMR) complicates therapeutic interventions. In this study, the quorum-sensing (QS) response regulator LuxO was targeted for anti-virulence therapy using a synthesized pyridine-based compound, QSIpy. Pyridine derivatives are explored as inhibitors that can target the LuxO protein, a key regulator in the QS pathway of V. cholerae. By inhibiting LuxO, these compounds reduced the virulence factor expression and biofilm formation, offering a novel antivirulence strategy without promoting resistance. Molecular docking showed that QSIpy exhibited a strong binding affinity, with a glide score of −5.046 at the ATP-binding domain of LuxO. In vitro evaluation revealed that QSIpy had no inhibitory effect on planktonic bacterial growth, indicating a non-bactericidal mechanism. However, it showed significant inhibition of biofilm formation, as confirmed by crystal violet assay and quantified through MBIC determination. Pellicle CFU enumeration demonstrated a reduction in viable biofilm-associated cells, particularly at the lowest concentrations of 15.6 µg mL−1 and 31.2 µg mL−1, while fluorescence microscopy validated the loss of pellicle integrity. Additionally, checkerboard synergy testing with azithromycin (AZM) revealed a high synergy score based on Bliss independence modelling, whereas no synergy was observed with ciprofloxacin or doxycycline. These results suggest that QSIpy potentiates macrolide antibiotic activity by interfering with quorum-sensing-regulated biofilm and virulence expression.
A synthesized pyridine-based compound QSIpy targets quorum-sensing (QS) response regulator LuxO a in Vibrio cholerae, thereby reducing the formation of biofilm.
Introduction
Vibrio cholerae is a curved, rod-shaped, Gram-negative bacterium that inhabits the small intestine and secretes cholera toxin (CT), resulting in profuse fluid secretion and dehydration. The bacterium consists of a single polar flagellum, which facilitates motility; it is also facultatively anaerobic and oxidase-positive and can survive under diverse environmental conditions such as brackish waters, estuaries, and marine coastal ecosystems.1 The symptoms of cholera vary from mild diarrhea to profuse watery stools, referred to as “rice-water” stools. Cholera can lead to heavy loss of electrolytes and dehydration if left untreated. According to the World Health Organization (WHO), the condition remains a serious public health issue worldwide, especially where there is poor sanitation and limited clean water availability. Based on the presence of the O antigen of lipopolysaccharide, V. cholerae can be categorized into more than 200 serogroups. Serogroup O1 causes an epidemic that consists of two biotypes: classical and El Tor. The classical biotype caused the previous pandemics, while the El Tor biotype has prevailed since the seventh pandemic, which started in 1961 and continues to exist.2V. cholerae maintains a complex life cycle that shifts between aquatic reservoirs and human hosts. It can survive for prolonged periods under unfavourable conditions in the environment in a viable but non-culturable (VBNC) condition. The pathogen enters the small intestine through food or water, moves within the acidic environment, and colonizes in the jejunum and ileum.3 Toxin-coregulated pilus (TCP) is one of the surface features that facilitates colonization and is crucial for microcolony establishment and intestinal adhesion.4 TCP has dual functions: it acts as an intermediate in adhesion to the intestinal epithelium and acts as a receptor for the lysogenic bacteriophage CTXΦ, which contains the ctxAB genes encoding for CT.4,5 CT is the major toxin that leads to watery diarrhea. CT is an AB5 exotoxin with one enzymatically active A subunit (CtxA) and five binding B subunits (CtxB). The B subunits attach to the GM1 ganglioside receptors on the intestinal epithelial cell surfaces, enabling endocytosis and retrograde transport of the A subunit into the cytosol.6 Upon cellular entry, CtxA catalyzes the ADP-ribosylation of the Gsα protein and causes constitutive activation of adenylate cyclase. Elevated levels of cyclic AMP (cAMP) follow, which stimulate the cystic fibrosis transmembrane conductance regulator (CFTR) chloride channels to cause efflux of chloride ions and water into the lumen of the intestine.7 LuxO is a central response regulator in the V. cholerae QS system, a mechanism that allows bacteria to sense group behavior as a function of population density.8 Under low cell density, LuxO is phosphorylated by upstream sensor kinases. The phosphorylated LuxO induces small regulatory RNAs expression (Qrr sRNAs) through σ54, which then represses HapR translation, which is the master QS regulator. Suppression of HapR at low cell density enables the expression of virulence genes, such as cholera toxin (ctxAB) and toxin-coregulated pilus (tcpA), which facilitate colonization and infection.9 Dephosphorylation of LuxO at high cell density results in enhanced HapR expression, which represses virulence and biofilm genes and induces bacterial dispersal. Being a molecular switch in virulence regulation, LuxO is also a target with high promise for anti-virulence therapy that will incapacitate V. cholerae without inducing antimicrobial resistance.10 Apart from CT and TCP, V. cholerae also produces various accessory virulence factors that are involved in colonization, epithelial damage, and inflammation. In V. cholerae, antibiotic resistance to drugs such as tetracycline, ampicillin, and ciprofloxacin has been documented worldwide.11 AMR in cholera strains represents a critical challenge for the treatment of the disease, particularly in epidemics, as it restricts the effective use of antibiotics and increases the potential for complications and transmission. The administration of ineffective drugs can aggravate the clinical course by postponing therapy with the correct drug, prolonging the duration and intensity of diarrhoea, and extending bacterial excretion, which enhances transmission risk in epidemic situations.
Pyridine and its derivatives are aromatic nitrogen-heterocyclic compounds with a wide range of antimicrobial properties. Many pyridine-based molecules have been synthesised recently to screen their extensive activity against various pathogens, including Vibrio cholerae. Pyridine derivatives can inhibit DNA gyrase, quorum-sensing circuit, and break down the bacterial membrane integrity. Several studies have shown that pyridines with substituted groups reduce the production of cholera toxin and disrupt biofilm formation, which is crucial for bacterial colonisation and persistence within the host. For instance, pyridine derivatives that are halogenated and alkylated have exhibited strong in vitro inhibitory activity against V. cholerae strains by disrupting the bacterial cell wall and interfering with regulatory proteins used in toxin expression. These results imply that pyridine scaffolds can be engineered into new antimicrobial agents that hold the potential to break existing resistance. Due to their structural flexibility and pharmacological promise, pyridine derivatives are being pursued intensively as lead compounds for novel anti-cholera drugs, and specifically against multidrug-resistant strains of V. cholerae.12
To combat increasing antimicrobial resistance in V. cholerae, our research evaluates a new anti-virulence approach against the LuxO regulator by using pyridine-derived quorum-sensing inhibitors. On the back of evidence that such compounds, including pyrazine derivatives, inhibit biofilm development, virulence gene expression, and act synergistically with antibiotics by inducing high-cell-density responses prematurely,13 we plan to screen lead pyridine molecules through in silico screening and docking, synthesise the best candidate, and assess its anti-biofilm and antimicrobial activity in vitro. The purpose of this study is to evaluate its possible synergy with traditional antibiotics, hoping to provide a resistance-free therapeutic pathway for treating V. cholerae infections.
Results and discussion
Homology modelling
Using BLASTp, the amino acid sequence of LuxO protein from V. cholerae (Q9KT84) was compared with other known protein structures, as previously reported.14 The LuxO receiver-catalytic domain from Photobacterium angustum (5EP0_A) had 78.54% sequence similarity with a 1.6 Å resolution X-ray structure and was used as a template for homology modelling of the LuxO protein (Fig. 1). The topology of the modelled protein is like the response regulator fold, which suggests that both the receiver and the catalytic domain are successfully modelled. The central core of the modelled protein is surrounded by the helices, which implies stability and integrity of the protein. This model serves as the basis of validation for further docking analysis. The modelled V. cholerae LuxO protein structure was evaluated using the Ramachandran plot (Fig. 2). The plot shows that the majority of the amino acid residues fall within the favoured (red) and allowed (yellow) regions, which indicates the protein has a well-modelled protein backbone conformation. Few amino acid residues, for example, Asp248, fall in disallowed regions, which suggests that the protein is structurally reliable for further analysis, and they do not significantly affect the overall structural quality of the modelled protein. The high percentage of amino acid residues lying in the favoured region validates the modelled protein's conformational quality. The modelled protein was furthermore validated using the ProCheck and Errat tools (Fig. 3). Most of the residues have scores above 95% confidence threshold, suggesting this modelled protein is a reliable model. Few regions around the residues 260–270 (marked in red) cross the 99% confidence threshold. This suggests that these residues are either flexible or poorly modelled, but the overall model quality is not compromised as they are unlikely to impact ligand binding or other predictions.
Fig. 1. Three-dimensional homology model of the LuxO protein from V. cholerae generated using SWISS-MODEL with 5EP0_A as a template from Photobacterium angustum.
Fig. 2. Structure validation of the homology-modelled LuxO protein by a Ramachandran plot using PROCHECK.
Fig. 3. ERRAT quality–factor plot evaluating the overall reliability of the homology-modelled LuxO protein.
Molecular docking
All the 50 compounds identified as pyridine derivatives were docked with the active sites of the LuxO modelled protein. Compound 3-((3-fluoro-4-(piperidin-1-yl)phenyl)carbamoyl)picolinic acid (QSIpy) demonstrated the highest Glide score of −5.046 kcal mol−1 with LuxO protein, followed by 5-bromo-3-((3-fluoro-4-(piperidin-1-yl)phenyl)carbamoyl)picolinic acid (Fig. 4). The 2D interaction (Fig. 5) provides insights into the binding interactions of the ligands within the LuxO protein. It shows the involvement of amino acids Lys166, Glu167 and Asp231 in the stabilisation of the ligand in the binding pocket of the LuxO protein by forming hydrogen bonds. Other stabilising forces, such as van der Waals interactions and hydrophobic contacts, are also present. There are possible electrostatic interactions that complement the shape and stability, suggesting that the ligand is suitably aligned in the catalytic site and is not tightly bound. The 3D representation of the docked ligand (Fig. 6) shows the ligand within the modelled LuxO protein, where it occupies the defined cavity in the catalytic domain. This proper orientation of the ligand ensures optimal interactions with the surrounding amino acid residues, enforcing proper structural stability. This also validates the ligand–protein interactions observed in 2D. The arrangement of the ligand is such that it is surrounded by α-helices, a hallmark of regulatory proteins. The positioning of the ligand allows favourable interaction within the catalytic domain with surrounding amino acid residues, which validates the docking results. This supports the hypothesis that the compound could act as an LuxO inhibitor, which interrupts the quorum sensing and signalling pathways in V. cholerae.
Fig. 4. Glide docking scores of pyridine-based derivatives screened against the modelled LuxO protein.
Fig. 5. Two-dimensional representation of the docked complex of QSIpy with LuxO from Vibrio cholerae, showing hydrogen-bond interactions with amino acid residues K166, E167, and D231.
Fig. 6. Three-dimensional image of the docked complex of QSIpy (cyan stick) bound to LuxO from Vibrio cholerae (green cartoon), illustrating hydrogen-bond interaction within the ATP binding site.
Synthesis of 3-((3-fluoro-4-(piperidin-1-yl)phenyl)carbamoyl)picolinic acid (QSIpy)
The compound 3-((3-fluoro-4-(piperidin-1-yl)phenyl)carbamoyl)picolinic acid (5), termed as QSIpy, was synthesized in three steps involving the general synthetic route13 shown in Fig. 7. The synthesis was initiated by the aromatic nucleophilic substitution reaction of 3,4-difluoronitrobenzene and piperidine, in the presence of diisopropylethylamine, in acetonitrile at room temperature to afford the intermediate compound, 1-(2-fluoro-4-nitrophenyl)piperidine. Subsequent reduction with Fe/NH4Cl in a methanol–water mixture yielded 3-fluoro-4-(piperidin-1-yl)aniline. Final amidation reaction with pyridine-2,3-dicarboxylic anhydride afforded the target compound QSIpy in good yield (85%).
Fig. 7. Schematic route for the synthesis of the compound 3-((3-fluoro-4-(piperidin-1-yl)phenyl)carbamoyl)picolinic acid (QSIpy). The reaction of piperidine and 1,2-difluro-4-nitrobenzene using DIPEA in acetonitrile at room temperature for 24 h, followed by reduction of the nitro intermediate to the amine with iron and ammonium chloride in methanol–water at 75 °C. The resulting amine substrate is then coupled with picolinic acid in tetrahydrofuran (THF).
3-((3-Fluoro-4-(piperidin-1-yl)phenyl)carbamoyl)picolinic acid (5)
Grey solid. Yield: 85%. 1H NMR (600 MHz, DMSO-d6) δ 10.59 (br s, 1H), 8.77 (dd, J = 2.28 Hz, 1.38 Hz, 1H), 8.18 (dd, J = 7.86 Hz,1.44 Hz, 1H), 7.68 (m, 2H), 7.44 (dd, J = 8.64 Hz, 2.40 Hz, 1H), 7.03 (t, J = 9.3 Hz, 1H), 2.93 (m, 4H), 1.66 (m, 4H), 1.53 (m, 2H). 13C NMR (150 MHz, CDCl3) δ 165.27, 163.67, 156.06, 154.42, 149.84, 145.52, 143.65, 139.28 (JC–F = 8.7 Hz), 130.46 (JC–F = 56.7 Hz), 127.21, 119.07 (JC–F = 69 Hz), 109.53 (JC–F = 25.6 Hz), 52.04 (JC–F = 63 Hz), 29.65, 26.00, 24.07. HRMS m/z calculated for C18H18FN3O3 = 344.1405 ([M + H]+); found = 344.1411.
Minimum inhibitory concentration
The minimum inhibitory concentration (MIC) assays were conducted to assess the bacteriostatic or bactericidal activity of the synthesized compound QSIpy against V. cholerae strains HYR14 and MTCC3906. QSIpy was screened in a range of concentrations from 0.48 to 125 µg mL−1 by the broth microdilution technique in a 96-well plate format. The growth of bacteria was observed through measurement of optical density at 595 nm after 18–24 hours of incubation at 37 °C. The findings revealed that QSIpy did not have any appreciable inhibition of planktonic growth for either strain at any of the concentrations tested. In Fig. 8, both strains showed comparable growth patterns in the absence (negative control) and presence of the compound, suggesting that QSIpy has no direct antibacterial activities under planktonic conditions. The positive control (PC) shows a drastic reduction in growth, confirming that the assay can detect strong growth inhibition. The absence of MIC activity implies that QSIpy is not targeting the critical bacterial survival pathways, but rather potentially through non-lethal factors such as quorum-sensing interference or disruption of the biofilm. This observation warranted further assessment of QSIpy for anti-biofilm activity using MBIC and CFU-based assays.
Fig. 8. Effect of QSIpy on the planktonic growth of HYR14 and MTCC3906. Growth of the planktonic cells (%) of HYR14 (brown bars) and MTCC3906 (blue bars), following treatment with increasing concentrations of QSIpy (0.49–125 µg mL−1). Within the concentrations of 0.49–125 µg mL−1, both HYR14 and MTCC3906 maintain planktonic growth similar to the untreated negative control (NC). The positive control (PC) shows a drastic reduction in growth, confirming that the assay can detect strong growth inhibition. Statistical significance between treated groups and NC is indicated as *p < 0.05, **p < 0.01, ****p < 0.0001; ns, not significant; n = 3.
Minimum biofilm inhibitory concentration
To determine the biofilm–inhibitory activity of QSIpy, minimum biofilm inhibitory concentration (MBIC) assays were performed using the crystal violet staining technique. Both V. cholerae strains, HYR14 and MTCC3906, were treated with serial concentrations of QSIpy from 0.48 µg mL−1 to 31.57 µg mL−1 in 96-well plates under static conditions for 24 hours. EDTA served as the positive control, which can be used as a standard antibiofilm as well as an antibacterial agent for Gram-negative bacteria, including Vibrio cholerae.15 Biofilm biomass was stained with crystal violet post-incubation and read at 595 nm after solubilising the stain with acetic acid. QSIpy showed anti-biofilm activity in both strains. Notably, there was a substantial reduction in biofilm at lower concentrations, which continued down to 0.48 µg mL−1 (Fig. 9). In HYR14, QSIpy resulted in approximately 40–50% biofilm biomass reduction at 1.95 µg mL−1. In MTCC3906, the compound showed even higher sensitivity, and inhibition was notable at lower concentrations of 3.9 µg mL−1. This difference could be due to strain-specific reaction or variation in biofilm structure. These findings strongly indicate that QSIpy disrupts biofilm formation processes without blocking bacterial growth, most probably by inhibiting quorum sensing or signaling pathways that regulate biofilm maturation. The MBIC results concur with in silico predictions against LuxO, a key regulator of quorum sensing and virulence in V. cholerae. The strong inhibition of biofilm at sub-MIC concentrations indicates the therapeutic promise of QSIpy as a non-bactericidal anti-virulence compound, especially for chronic and resistant cholera infections. The low MBIC50 values suggest that both compounds are potent biofilm inhibitors, particularly HYR14, which showed stronger inhibition at lower concentrations. These findings indicate that QSIpy functions as a non-bactericidal anti-virulence factor, likely inhibiting quorum-sensing processes—consistent with its predicted binding to LuxO. Its high activity at sub-MIC concentrations underscores its value for the treatment of chronic cholera infections.
Fig. 9. Inhibition of biofilm formation by QSIpy against HYR14 and MTCC3906. Biofilm growth (%) of HYR14 (pink bars) and MTCC3906 (green bars), following treatment with increasing concentrations of QSIpy (0.48–31.57 µg mL−1). Data are expressed as mean ± SD of three independent experiments (n = 3). The positive control (PC) shows minimal biofilm growth, while the negative control (NC) represents untreated cells with no inhibition. Statistical significance across QSIpy-treated groups is indicated as ****p < 0.0001.
Enumeration of colony forming units from biofilm pellicles
Cells in biofilms and pellicles exhibit strong resistance to several antibiotics compared to planktonic cells.16 To assess the anti-biofilm potential of the pyridine compound QSIpy, viable cell counts were determined from pellicle biofilms of V. cholerae strains HYR14 and MTCC3906 after treatment with varying concentrations of the compound (3.9–125 µg mL−1) (Fig. 10). In both strains, treatment with QSIpy resulted in a concentration-dependent reduction in CFU counts compared to the untreated control. EDTA served as the positive control, which can be used as a standard antibiofilm as well as an antibacterial agent for Gram-negative bacteria, including Vibrio cholerae.15 For QSIpy_HYR14, a significant decrease in viable cell count was observed at 125 µg mL−1, and the reduction persisted at all concentrations down to 3.9 µg mL−1. Similarly, QSIpy_MTCC3906 displayed a marked reduction in CFU at 125 and 62.5 µg mL−1, with significant inhibitory effects maintained even at 3.9 µg mL−1. The observed reduction in CFU counts from biofilm pellicles indicates that the pyridine compound QSIpy effectively impairs the viability of V. cholerae biofilm-associated cells. Both clinical HYR14 and reference MTCC3906 strains exhibited significant susceptibility to QSIpy, even at low concentrations. Notably, the compound showed stronger inhibitory effects against the MTCC3906 strain at higher concentrations, suggesting possible strain-specific sensitivity. These results suggest that QSIpy may interfere with biofilm integrity or cell survival mechanisms within the pellicle matrix. The dose-dependent decrease in CFU counts supports its potential as a promising anti-biofilm agent. This also aligns with prior in silico findings targeting quorum-sensing pathways, particularly the LuxO regulator. The consistent decrease in viable biofilm cells further reinforces the potential of pyridine-based molecules in disrupting biofilm-associated persistence and resistance in V. cholerae. The observed decrease in viable cell numbers for all concentrations demonstrates that QSIpy interferes with the survival of V. cholerae HYR14 in the matrix of the biofilm. The dose-dependent trend implies that the compound can interfere with important processes in maintaining the biofilm, possibly by inhibiting quorum-sensing. Even though it does not eliminate cells, QSIpy drastically decreases CFU even at lower concentrations, validating its position as a strong anti-biofilm compound. These results are consistent with earlier in silico predictions of LuxO-targeted quorum-sensing inhibition, underlining the therapeutic promise of QSIpy in counteracting biofilm-mediated resistance to cholera infection.
Fig. 10. Enumeration of colony-forming units from the pellicle biofilms of HYR14 and MTCC3906 strains of V. cholera post treatment with QSIpy at varying concentrations compared with the negative control (NC). The positive control (PC) represents lesser number of colonies. (n = 3, **p < 0.01, ***p < 0.001).
Fluorescence imaging
The qualitative findings supported the quantitative data obtained from viable cell count analysis of the biofilm pellicles. A significant reduction in the number of pellicle cells is observed in Fig. 11 through the fluorescence imaging of the compound across varying concentrations from 31.2 µg mL−1 to 7.9 µg mL−1. A dense network of biofilms was seen in the control, and individual pellicle cells could be seen in the treatment groups. The green colour indicates the presence of live cells in the bacterial pellicle load. The analysis demonstrated that QSIpy effectively disrupts pellicle biofilm formation in both V. cholerae strains HYR14 and MTCC3906 in a concentration-dependent manner. The control samples showed dense green fluorescence, indicative of intact and viable pellicle biofilm structures. EDTA served as the positive control, showing strong biofilm inhibition. Treatment with QSIpy led to a visible reduction in fluorescence intensity and pellicle cell density, with minimal signal observed at 15.6 µg mL−1 and 31.2 µg mL−1. This suggests a significant loss of biofilm-associated cells. Notably, MTCC3906 exhibited greater sensitivity at lower concentrations, aligning with the CFU reduction data. These findings reinforce the anti-biofilm efficacy of QSIpy and support its potential as a quorum-sensing-targeted therapeutic agent. These qualitative observations are also consistent with the CFU data and again show the strong biofilm-disrupting activity of QSIpy. The declining green fluorescence in proportion to increasing concentrations evidences compromised viability and structural cohesion of the biofilm pellicles. Strikingly, strain MTCC3906 was more sensitive in lower concentrations and showed a considerable reduction, even at 7.9 µg mL−1. This confirms the postulate that QSIpy inhibits quorum sensing or biofilm maintenance mechanisms. Collectively, the microscopic findings corroborate the efficacy of QSIpy as an anti-biofilm agent against biofilm-residing cells of V. cholerae.
Fig. 11. Visualization of the biofilm pellicle of HYR14 and MTCC3906 strains of V. cholerae stained with SYTO9, depicting live cells in green under fluorescence microscopy when treated with QSIpy at varying pellicle biofilm inhibitory concentrations (PC = positive control, NC = negative control).
Checkerboard assay
The synergistic interaction of azithromycin (AZM) when combined with QSIpy was determined using the checkerboard assay, and the interaction was assessed with the Bliss independence model. The assay was conducted for differing concentrations of QSIpy (3.9 µg mL−1 to 0.1 µg mL−1) in combination with AZM (25 µg mL−1 to 0.38 µg mL−1). From Fig. 12, there was an evident synergistic interaction at low concentrations of both drugs. In particular, for strain HYR14, a synergy score of 31.04 was observed when AZM was administered at 1.5 µg mL−1 in combination with QSIpy at 3.98 µg mL−1. Likewise, the MTCC3906 strain showed a synergy score of 45.81 at AZM 3.12 µg mL−1 and QSIpy 3.98 µg mL−1. These observations show that QSIpy increases the activity of AZM over the activity of the drug alone in both strains. Conversely, no synergistic interaction was observed between QSIpy with doxycycline (DOX) or ciprofloxacin (CIP), as illustrated in Fig. S4(a and b), and the potentiating effect is likely to be specific to AZM. This is perhaps because AZM already inhibits protein synthesis and further has its quorum-sensing role disrupted by QSIpy. These findings establish the prospect of QSIpy as a quorum-sensing inhibitor that can enhance the efficacy of macrolide antibiotics such as AZM. These combinations may also decrease the amount of antibiotics needed, thus minimizing side effects and slowing down resistance emergence. In general, the findings affirm the therapeutic value of anti-quorum-sensing agents in combination with classical antibiotics for more efficient treatment of biofilm-associated and drug-tolerant V. cholerae infection. The co-treatment of QSIpy and AZM showed substantial synergistic inhibition of biofilms, notably in the case of MTCC3906. The activity enhancement implies that QSIpy enhances the anti-biofilm activity of AZM, potentially by disrupting quorum-sensing pathways that control biofilm stability and antibiotic tolerance. However, no significant synergy was seen with doxycycline or ciprofloxacin (data not shown), suggesting that potentiation by QSIpy is specific to macrolides such as AZM. This cooperative effect may enable decreased antibiotic dosing with preserved effectiveness, presenting a twofold benefit of reducing toxicity and retarding resistance emergence. In total, these findings establish the therapeutic potential of QSIpy as an adjuvant to standard antibiotics for the treatment of recalcitrant V. cholerae biofilms.
Fig. 12. Effect of QSIpy in enhancing the bactericidal activity of AZM. Synergy plot illustrating the combined effect of QSIpy and AZM at varying concentrations against HYR14 and MTCC3906. Potentiation of QSIpy was observed at a minimum concentration of 0.9 mg mL−1, with AZM maintained at a constant concentration of 1.5 mg mL−1 and 3.12 mg mL−1 for HYR14 and MTCC3906, respectively. (n = 3, **p < 01, ***p < 0.001, ****p < 0.0001 compared with the control).
Minimum biofilm eradication concentration
The minimum biofilm eradication concentration (MBEC) of QSIpy against matured V. cholerae biofilms was quantitatively determined over a spectrum of concentrations (3.97–125 µg mL−1). Fig. 13 displays the percentage of pre-formed biofilm growth in the standard reference strain MTCC3906 as well as the clinical isolate HYR14. A clear dose-dependent effect was noted in both strains. At 3.97 µg mL−1, the lowest concentration studied, QSIpy induced a biofilm eradication of about 47.2% and 46.1% in HYR14 and MTCC3906, respectively. It can be inferred that sub-inhibitory levels of QSIpy are enough to weaken biofilm integrity considerably. Upon increasing the concentration to 7.8 µg mL−1, eradication improved to 55.6% in HYR14 and 51.3% in MTCC3906, reflecting an improvement in anti-biofilm activity early on. Notably, at 15.7 µg mL−1, the eradication efficacy reached a plateau to some extent, with HYR14 being 55.8% and MTCC3906 being 52.1%, indicating possible saturation of target quorum-sensing components in mid-range concentrations. However, by raising the concentration to 31.57 µg mL−1, there was a sharp increase in the clearing of biofilms to 64.7% for HYR14 and 63.2% for MTCC3906. This suggests that this is a key threshold above which QSIpy has more effective biofilm disruption, potentially through complete repression of essential virulence and structural genes that maintain the biofilm. Maximum eradication was observed at 62.15 µg mL−1, where MTCC3906 had a maximum of 69.3% of biofilm clearance, and HYR14 followed closely with 66.7%. These are strong anti-biofilm activities in fairly moderate concentrations of QSIpy. In general, MTCC3906 had marginally but consistently higher eradication rates compared to HYR14 at all concentrations, though differences were not statistically significant, pointing to QSIpy being as effective against both reference and clinical isolates. The graph of QSIpy reflects that it effectively inhibits biofilms in a concentration-dependent manner, specifically in the 31.57–62.15 µg mL−1 range. These findings closely match the downregulation of quorum-sensing and virulence genes found in qRT-PCR and infer that the biofilm disruption observed is mechanistically connected with the inhibition of important regulators such as luxO, qrr4, aphA, and virulence factors ct and tcp. Finally, the MBEC assay confirms that QSIpy has significant biofilm-clearing activity against V. cholerae, with optimal activity in the range of 31–62 µg mL−1. This range might be a reasonable therapeutic target range for future preclinical or combination studies with QSIpy and other antimicrobial drugs. Crystal violet staining results (Fig. 14) visually confirmed the quantitative data. Untreated controls presented intense staining, suggesting the formation of dense biofilms. Conversely, biofilms treated with 7.9, 15.9, and 31.2 µg mL−1 of QSIpy demonstrated decreased staining intensity, which is in accordance with extensive biofilm disruption and detachment. Interestingly, both strains reacted in the same manner to QSIpy treatment, with MTCC3906 showing marginally greater eradication at higher concentrations. The uniformity of QSIpy action on both strains, particularly the clinical isolate HYR14, indicates its promise as a wide-spectrum quorum-sensing modulator with intense anti-biofilm activity. In combination, these observations suggest that QSIpy is capable of inhibiting mature V. cholerae biofilms at relatively low concentrations. The significant biofilm biomass loss, verified both quantitatively and qualitatively, suggests the potential utility of QSIpy in biofilm-associated infection control.
Fig. 13. Eradication of preformed biofilms by QSIpy against HYR14 and MTCC3906. Percentage of the growth of pre-established biofilm in HYR14 (purple bars) and MTCC3906 (green bars) following treatment with increasing concentrations of QSIpy (3.97–62.15 µg mL−1). Data are presented as mean ± SD of three independent experiments (n = 3). The positive control (PC) represents minimal biofilm growth, while the negative control (NC) denotes untreated biofilms with no eradication. Statistical significance across QSIpy-treated groups is indicated as ****p < 0.0001.
Fig. 14. Qualitative analysis of biofilm inhibition at varying concentrations of QSIpy performed using the crystal violet assay and visualized under a stereomicroscope. Treated cells showed a disturbed biofilm compared to the untreated control (NC = negative control, PC = positive control, n = 3).
qRT-PCR profiling of gene expression
The impact of QSIpy on QS and virulence gene expression in V. cholerae was analyzed by qRT-PCR. The relative expression of several QS regulatory and virulence-associated genes, such as luxO, qrr4, hapR, ct, tcp, and aphA, was assessed in two strains, the reference strain MTCC3906 and the clinical isolate HYR14, before and after treatment with QSIpy at a concentration of 3.97 µg mL−1. As demonstrated in Fig. 15a and b, QSIpy triggered specific transcriptional responses in both strains. The results showed that QSIpy substantially suppressed luxO and qrr4 expression in both strains (−3.50 and −1.37 log2 fold in MTCC3906; −3.94 and −2.64 in HYR14, respectively), demonstrating repression of the initial quorum-sensing cascade. This is consistent with the established role of QSIpy as a quorum-sensing modulator interacting with the autoinducer signaling network. Notably, hapR, the central QS transcriptional regulator active at high cell density (HCD), the master regulator of quorum sensing and virulence repression, was upregulated in both the strains following treatment (2.27 log2 fold in MTCC3906 and 1.68 in HYR14). This indicates that QSIpy-mediated repression of luxO has the indirect effect of liberating repression on hapR, supporting its expression and subsequent regulatory effects. Key among these was the downregulation of the virulence determinant genes ct (cholera toxin) and tcp (toxin co-regulated pilus) upon QSIpy treatment in both strains. In MTCC3906, ct and tcp decreased by −3.10 and −2.50 log2 fold, and in HYR14, by −3.35 and −2.15 log2 fold, respectively. The downregulation of primary virulence determinants identifies the anti-pathogenic activity of QSIpy. The virulence factor aphA, which is typically activated in low cell density and is critical for virulence gene expression, was also downregulated in both strains normally induced under conditions of LCD, was also uniformly downregulated in both strains (−1.03 for MTCC3906 and −3.29 for HYR14), reflecting a departure from the state of virulence. Together, the outcomes reflect a strain-dependent but reproducible pattern of QS and virulence gene suppression after treatment with QSIpy. Interestingly, the clinical isolate HYR14 showed an increased level of gene suppression compared to the reference strain, indicating increased sensitivity. These observations are consistent with phenotypic observations and suggest the potential of QSIpy as a quorum-sensing inhibitor with anti-virulence activity against V. cholerae.
Fig. 15. (a) QSIpy-mediated modulation of quorum sensing and virulence gene expression in the MTCC3906 strains. The heatmap shows the relative log2 fold changes in key genes following the QSIpy treatment. Downregulation of luxO, qrr4, ct, tcp, and aphA, and upregulation of hapR indicate the disruption of quorum-sensing and virulence pathways. The bar graph represents the fold change of each gene compared with that of the control. (n = 3, ****p < 0.0001 compared with the control). (b) QSIpy-mediated modulation of quorum sensing and virulence gene expression in the HYR14 strains. The heatmap shows the relative log2 fold changes in key genes following the QSIpy treatment. Downregulation of luxO, qrr4, ct, tcp, and aphA, and upregulation of hapR indicate the disruption of quorum-sensing and virulence pathways. The bar graph represents the fold change of each gene compared with that of the control. (n = 3, ****p < 0.0001 compared with the control).
MTT cell viability assay
The cell-based MTT assay was used to investigate the toxic effect of the synthesised compound, QSIpy, on the HepG2 cell line. The yellow tetrazolium MTT (3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide) is reduced in metabolically active cells as a part of the action of dehydrogenase enzymes, to generate reducing equivalents (NADH, NADPH). The results (Fig. 16) showed that the percentage viability of the HepG2 cell line was unaffected in the presence of the test compound at 10× and 100× concentrations compared to the untreated control cells.
Fig. 16. Cell viability of the HepG2 cells treated with QSIpy. Cell viability (%), assessed after treatment at increasing QSIpy concentrations (10×, 100×, and 300×), showed no significant effect at 10× = 312 µg mL−1 compared with that of the control (ns, not significant). A significant reduction in cell viability was observed at 100× = 3120 µg mL−1 (*p < 0.05) and a highly significant decrease at 300× = 9360 µg mL−1 (***p < 0.001), indicating the dose-dependent cytotoxic response of the HepG2 cells upon QSIpy exposure.
Experimental methods
In silico evaluation
Template identification and sequence alignment
The FASTA sequence of the LuxO ATP-binding domain (Accession ID: Q9KT84) was retrieved from UniProt (https://www.uniport.org). The sequence was analysed through BLASTp against the Protein Data Bank to identify a structural template. The LuxO protein with the highest similarity, based on minimum E-value, sequence similarity, and availability of a solved crystal structure, was employed to model a homologous protein of LuxO. Pairwise alignment between the target sequence (Q9KT84) and the selected template (PDB ID: 5EP0_A) was carried out using ClustalW2 (https://www.ebi.ac.uk/Tools/msa/clustalw2/).
Homology modelling and structure validation
A three-dimensional model of LuxO was built based on the chosen template (5EP0) using the SWISS-MODEL server (https://swissmodel.expasy.org/). Following construction, energy minimisation of the modelled protein was executed in the SWISS-PDB viewer by adjusting bond length, angles, and other geometric distortions. Model reliability was assessed through PROCHECK (https://saves.mbi.ucla.edu/) using the Ramachandran plot to analyse stereochemical quality, and further validated with the ERAAT server to detect non-bonded interaction errors and evaluate the overall structural quality.
Molecular docking
The validated and modelled LuxO structure was then further processed with the help of the protein preparation Wizard in Schrödinger (Schrödinger, LLC, New York, NY, 2020) to eliminate water molecules, fix missing atoms, and alleviate steric clashes between amino acid residues. The protein structure was refined and energy-minimised to obtain an optimal conformation. A grid of receptors was generated around the ATP-binding domain of LuxO, and molecular docking was performed with the Extra Precision (XP) algorithm within the Glide module. The two-dimensional chemical structures of pyridine derivatives were discovered from PubChem and transformed into 3D structures with the LigPrep tool (Schrödinger, LLC, New York, NY, 2020). The docking was first done in Standard Precision (SP) mode, and then XP mode for the best-scoring ligands. The docking results were analysed based on Glide scores, important binding interactions, and functionality of groups interacting in the active site of the LuxO protein.
In vitro evaluation
Synthesis
The compound QSIpy was synthesised using appropriate reactions, and the structure was confirmed through NMR spectroscopy and HRMS (Fig. S1–S3).
Synthesis of 1-(2-fluoro-4-nitrophenyl)piperidine (3)
To a stirred solution of piperidine 1 (11 mmol) in acetonitrile solution (15 mL), diisopropylethylamine (11 mmol) was added dropwise at 0 °C. 1,2-Difluoro-4-nitrobenzene 2 (11 mmol) was subsequently added to the above reaction mixture, and the reaction mixture was stirred overnight at room temperature. After completion, the mixture was poured into ice water, and the yellow precipitate obtained was filtered, washed with water, and dried in an open atmosphere to give compound 3.
Synthesis of 3-fluoro-4-(piperidin-1-yl)aniline (4)
To a stirred solution of compound 3 (5 mmol) in a methanol–water mixture (2 : 1, 18 mL), iron powder (30 mmol) and ammonium chloride (35 mmol) were added. The reaction mixture was refluxed for 5 hours, then cooled, and the resulting suspension was filtered through a Celite bed and washed with EtOAc (2 × 10 mL). The combined organic layers were dried over Na2SO4 and evaporated under reduced pressure to afford compound 4.
Synthesis of 3-((3-fluoro-4-(piperidin-1-yl)phenyl)carbamoyl)picolinic acid (5)
To a solution of 2,3-pyridinedicarboxylic anhydride (0.35 mmol) in THF (2 mL), compound 4 (0.35 mmol) was added and stirred at room temperature for 30 minutes, during which a precipitate formed. The solid was filtered, washed with petroleum ether, and dried under vacuum to obtain compound 5, which was used in subsequent steps without chromatographic purification.
Bacterial strains and culture conditions
Strains of V. cholerae HYR14 and MTCC3906 were used throughout the study. To prepare the overnight culture, 5 µL aliquots of glycerol stocks were inoculated in 2 mL Luria Bertani (LB) broth and incubated at 37 °C for 18–24 hours. All culture media and reagents used were purchased from HiMedia, Mumbai. The overnight cultures were also streaked on LB agar plates and incubated under the same conditions; plates were kept at 4 °C for further use. LB broth was used as the standard culture medium for all the experimental work in this research.
Determination of minimum inhibitory concentration
The minimum inhibitory concentration (MIC) was found to assess the lowest concentrations of the test compounds that inhibit visible growth of V. cholerae. Overnight cultures of fresh HYR14 and MTCC3906 strain colonies were grown in LB at 37 °C for 18–24 hours. Dimethyl sulfoxide (DMSO) was used to prepare the stock solution of the compound at a concentration of 30 µg mL−1. Two-fold serial dilutions of 100 µL of QSIpy compound were prepared in LB in 96-well flat-bottom microplates. The concentrations ranged from 125 µg mL−1 to 0.48 µg mL−1. The overnight bacterial culture was diluted to a ratio of 1 : 100 and employed to inoculate all wells. Thereafter, 10 µL of diluted bacterial suspension was inoculated into wells with serially diluted test compounds. EDTA at 266 µg mL−1 in 100 µM Tris buffer served as the positive control to validate the assay, based on the protocol reported by Adhikari et al. (1993).17 Sterile media with bacterial culture was kept as a negative control to compare with the treated samples. The plate was incubated at 37 °C for 18–24 hours, after which absorbance was read at 595 nm using a microplate reader.18
Determination of minimum biofilm inhibitory concentration
The minimum biofilm inhibitory concentration (MBIC) was found to evaluate the anti-biofilm activity of QSIpy against V. cholerae. Overnight cultures of HYR14 and MTCC3906 were diluted according to the procedure detailed for the MIC determination and then added to a 96-well plate containing serial dilutions of QSIpy (125 µg mL−1 to 0.48 µg mL−1). EDTA at 266 µg mL−1 in 100 µM Tris buffer served as the positive control to validate the assay, based on the protocol reported by Adhikari et al. (1993).17 Sterile media with bacterial culture was kept as a negative control to compare with the treated samples. The optical density at OD595 of the planktonic cells was measured, and they were incubated at 37 °C for 24 hours. To remove planktonic cells, the plate was lightly tapped and then washed twice with PBS and air-dried for 5 to 10 minutes. 120 µL of 0.2% crystal violet was used to stain the cells for 15 minutes. The plate was air-dried after removing excess stain with water washes, and then the biofilm-bound stain was eluted using 150 µL of 33% acetic acid. The optical density was measured at 595 nm. The experiment was conducted in triplicate to ensure the accuracy and reproducibility of the results.19–22
Determination of colony forming units from biofilm pellicles
To quantify the viable bacterial cells within the pellicle, colony-forming unit (CFU) counts were performed. In brief, overnight cultures of HYR14 and MTCC3906 were diluted to 1 : 100 in fresh LB broth and inoculated into sterile glass tubes containing 3 mL of LB broth. The tubes were treated with QSIpy at varying concentrations from 125 µg mL−1 to 0.9 µg mL−1, and the untreated tube served as a negative control. EDTA at 266 µg mL−1 in 100 µM Tris buffer served as the positive control to validate the assay, based on the protocol reported by Adhikari et al. (1993).17 The plates were incubated statically for 48–72 hours without media replacement. After incubation, the pellicle formed at the air-liquid interface in the glass tubes was carefully removed using a sterile pipette tip. The pellicle was resuspended in 1 mL of sterile phosphate-buffered saline (PBS) by gentle pipetting. The suspension was serially diluted up to 10−12, and 100 µL from each dilution was spread onto LB agar plates. The plates were then incubated at 37 °C for 24 hours for colony development, and colonies were counted. CFU mL−1 was calculated and used to compare bacterial load in treated and untreated samples.
Fluorescence microscopy
Fluorescence microscopy imaging was employed to visually investigate the pellicle inhibition potential of QSIpy. In a concise description of the method, the inoculum was cultured in a six-well plate with 3 mL of LB. Sterile coverslips were positioned, both in the presence and absence of the compound. The plate was treated with different biofilm inhibitory concentrations (ranging from 3.9 µg mL−1 to 0.9 µg mL−1) of the compound. Untreated wells were retained as controls. EDTA at 266 µg mL−1 in 100 µM Tris buffer served as the positive control to validate the assay, based on the protocol reported by Adhikari et al. (1993).17 After 24 h incubation at 37 °C, non-adherent planktonic cells were carefully removed, and the coverslips were gently washed twice with PBS. Utilising the Bac Light Bacterial Viability Kit (L7012), coverslips were stained as per the manufacturer's instructions using Syto9 dye, followed by a 10 min incubation in the dark. After eliminating excess stains and conducting two PBS washes, the coverslips were mounted onto glass slides. A Nikon Eclipse Ts2 microscope was used to capture fluorescence excitation images at a 10× magnification.23
Checkerboard assay
The potentiating effect of QSIpy against azithromycin (AZM), ciprofloxacin (CIP), and doxycycline (DOX) was measured by a checkerboard assay.24,25 Briefly, two-fold serial dilutions of the compound QSIpy were performed in 96-well plates with 100 µL of LB broth from its biofilm inhibitory concentration of 3.9 µg mL−1 to 0.9 µg mL−1. AZM, CIP, and DOX were added to wells at the same time, ranging from 8 µg mL−1 to 0.25 µg mL−1. Individual concentrations of both compounds were also tested separately as controls. Overnight cultures of V. cholerae strains HYR14 and MTCC3906 were diluted to a ratio of 1 : 100 and inoculated into each well as per the MIC protocol. The well plates were incubated at 37 °C for 24 h, and the optical density was measured at 595 nm to determine the percentage of growth inhibition. SynergyFinder Plus was used to evaluate the data obtained using the Bliss independence model, which predicts the combined effect as the product of the individual effects, expressed by the formula Ei = EA × EB output.19,26
Determination of minimum biofilm eradication concentration
The biofilm eradication assay was conducted to find out the minimum dose of QSIpy capable of eliminating pre-formed biofilms of V. cholerae. Biofilms were grown in sterile 24-well microtiter plates. Overnight cultures of V. cholerae strains HYR14 and MTCC3906 were diluted 1 : 100 in fresh LB broth, and 100 µL of diluted suspension was added to the wells containing 1 mL of LB broth. The plates were statically incubated at 37 °C for 24 hours for biofilm development. After 24 hours of incubation, the planktonic cells were aspirated and gently washed twice with sterile phosphate-buffered saline (PBS) to eliminate non-adherent cells. Serial two-fold dilutions of QSIpy (125 µg mL−1 to 3.9 µg mL−1) were made in LB broth. A relevant concentration of QSIpy was added to each well to treat the pre-formed biofilm and further incubated at 37 °C for 24 hours under static conditions. EDTA at 266 µg mL−1 in 100 µM Tris buffer served as the positive control. Sterile media with bacterial culture was kept as a negative control to compare with the treated samples. After treatment, the wells were washed gently with distilled water twice to eliminate residual compounds and planktonic cells. Then, 0.2% of crystal violet was added to all the wells, which were then incubated for 15–20 minutes at room temperature. After the incubation, the surplus stain was removed by rinsing with distilled water and then eluted using 33% glacial acetic acid. The optical density was measured at 595 nm. The lowest concentration of QSIpy to inhibit visible growth after the recovery period was determined as the minimum biofilm eradication concentration. Crystal violet staining was employed to visualize the biofilm eradication of QSIpy against the V. cholerae strains. The same protocol was followed until the addition of 0.2% crystal violet stain, and it was rinsed twice with distilled water and allowed to air-dry. The biofilm eradication in the treated wells was visualized using stereomicroscopy (IVESTA3 Stereomicroscope).27
RNA extraction and qRT-PCR profiling of gene expression
Quantitative real-time PCR (qRT-PCR) was conducted to determine the expression change of V. cholerae genes following treatment with QSIpy at a concentration of 3.9 µg mL−1. The cells were cultured under aerobic conditions for 24 hours at 37 °C in sterile tubes with and without the test compound. After incubation, planktonic cells were removed, and adherent bacterial cells were washed twice with sterile phosphate-buffered saline (PBS) and then harvested. The samples were centrifuged at 6000 rpm for 10 minutes, and the resulting supernatant was discarded. The pellet was used to extract the total RNA using the NucleoSpin®RNA kit as per the manufacturer's instructions. RNA concentration and purity were determined with a NanoDrop spectrophotometer (Thermo Scientific, USA). cDNA was prepared from isolated RNA by using a High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA, USA), following the manufacturer's protocol, and was kept at −20 °C until used again. Gene expression was measured using SYBR Green-based qRT-PCR, with 16S rRNA as the housekeeping gene. Relative gene expression levels were determined by the 2^−ΔΔCT method.28 Primers used in the study are listed in Table S1.
Cell viability assay
The cytotoxicity effect of QSIpy (10×, 100× and 300×) was tested on HepG2, which were obtained from the National Centre for Cell Science (NCCS), Pune, India, and the cell viability was measured using the MTT assay. HepG2 cells were maintained in Eagle's MEM supplemented with non-essential amino acids, 10% FBS and 1% Pen Strep. Briefly, the cells were resuspended to a density of 1 × 106 CFU mL−1 and 100 µL were seeded into 96-well plates, including a positive control (media and cells without the QSIpy) and a blank (media alone). Plates were incubated at 37 °C in 5% CO2 until the cells reached confluence. The medium was then replaced with varying concentrations of test compound suspended in MEM medium and incubated for 24 h at 37 °C in 5% CO2. After the incubation period, 20 µL of MTT solution (5 mg mL−1) was added and incubated for 4 h. To this, 100% DMSO was added to each well, which were gently swirled for 10 min, and the absorbance was read at 570 nm. The percentage cell viability of QSIpy-treated HepG2 cells was calculated compared with the untreated cells.14
Statistical analysis
Statistical analysis was carried out with the help of GraphPad Prism software version 8.0.2 (GraphPad Software Inc., San Diego, CA, USA). The level of statistical significance was assessed using Student's t-test using a cutoff p ≤ 0.05. The findings are presented as the average along with the standard deviation.
Conclusion
The current research identifies the quorum-sensing regulator LuxO as a viable target for anti-virulence interventions in V. cholerae. The pyridine derivative QSIpy was effective in binding with LuxO and greatly suppressed biofilm formation without suppressing bacterial growth. A combination of QSIpy with azithromycin also had synergistic effects, which improved its antimicrobial activity. These results suggest that QSIpy can be an effective anti-biofilm agent, compromising bacterial defenses and enhancing antibiotic efficacy, particularly against resistant V. cholerae strains. Hence, targeting the quorum-sensing regulator presents an effective and resistance-breaking therapeutic mechanism.
Author contributions
AS: Conceptualization, methodology, writing – original draft. DJA and VB: methodology, writing – original draft. APS: conceptualization, investigation, methodology, supervision, writing – review and editing. RBR: conceptualization, investigation, writing – review and editing.
Conflicts of interest
The authors declare that they have no conflicts of interest related to this work.
Supplementary Material
Acknowledgments
A. S., R. B. R. and A. P. S. sincerely thank the management of SASTRA Deemed University for providing the necessary facilities and support for this research. The authors would like to extend their thanks to all the scholars of the Quorum Sensing Lab (QSL).
Data availability
The datasets generated and analyzed during the current study are available from the corresponding author upon reasonable request.
Supplementary information (SI): Fig. S1–S4 and Table S1. See DOI: https://doi.org/10.1039/d5ra05777a.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and analyzed during the current study are available from the corresponding author upon reasonable request.
Supplementary information (SI): Fig. S1–S4 and Table S1. See DOI: https://doi.org/10.1039/d5ra05777a.
















