M. Hemaa,
S. Adline Princy*a,
Vellaisamy Sridharanb,
Perumal Vinothb,
Balamurugan P.a and
M. N. Sumanac
aQuorum Sensing Laboratory, Centre for Research in Infectious Diseases (CRID), School of Chemical and Biotechnology, SASTRA University, Thanjavur-613401, Tamil Nadu, India. E-mail: adlineprinzy@biotech.sastra.edu; Tel: +91-4362-264101 ext. 108 Tel: +91-9486910054
bOrganic Synthesis Group, Department of Chemistry, School of Chemical and Biotechnology, SASTRA University, Thanjavur-613401, Tamil Nadu, India
cDepartment of Microbiology, JSS Medical College, JSS University, Mysore, India
First published on 5th May 2016
Antibiotic resistance is one of the most pivotal health menaces in the human population worldwide. Use of conventional antibiotics at high concentration for prolonged periods facilitates a selective pressure on the bacterial strain to develop resistance to these antibiotics. The ascent of multi-drug resistance in Vibrio cholerae strains is a key issue for alternative drug development against cholera. A drug that could curb the virulence of V. cholerae is an elective choice for treatment. A few research studies have been carried out to discover such alternative medication that has an anti-virulent property rather than antibacterial activity. Combinatorial antibiotic treatments along with anti-biofilm compounds have diverse effects on bacterial growth i.e. it can be additive, synergistic or antagonistic. In the present investigation, combinatorial action of 2,3-pyrazine dicarboxylic acid derivatives (QSIVc targeted against the quorum regulator, LuxO) along with antibiotics was evaluated. The results indicated that QSIVc could inhibit biofilm at a very low concentration (IC50 varying between 1 μM and 70 μM). The synergism of the compounds with the reported antibiotics (doxycycline, tetracycline, chloramphenicol and erythromycin) was evaluated by the checkerboard method. The fractional inhibitory concentration (FIC) values varied from 0.0 to 0.5 for each combination. The ΔE value (750–1900), according to the bliss independence model showed that the QSIVc synergistically enhanced the inhibitory effect of the reported antibiotics against the multidrug resistant clinical isolates of V. cholerae.
Inhibition of quorum sensing (QS) pathway is one of the anti-virulent therapeutic approaches. QS is an illustrative term for cell to cell communication that occurs within bacteria to stay informed regarding their cell density.6 QS is mediated by the production and sensing of small molecules called auto-inducers to coordinate gene expression that involves the production of virulence factors (motility, biofilm production, toxin production etc.).7 In V. cholerae three parallel QS system exists which results in the production of cholera toxin (CT), toxin co-regulated pilus (TCP), biofilm and hemolysis.8 In this context, a drug that could inhibit the virulence property of V. cholerae by targeting the essential factor for infection (Biofilm, CT, TCP) is a novel method of treatment against cholera.
For instance, pyrazine, a symmetric aromatic heterocyclic compound that occurs almost ubiquitously in nature is a weaker base than pyridine, pyridazine and pyrimidine. Antibacterial activity of pyrazine and its derivatives against both environmental and clinical pathogens have been reported.9,10 Pyrazine can be easily synthesized both biologically and chemically. Most importantly, pyrazine moiety and its related heterocyclic compounds are core parts of many clinically used drugs. It has been reported that 1,4-pyrazine derivative has good antimicrobial activity against a wide range of bacteria.11 Various reports showing anti-mycobacterial property of pyrazine and related heterocyclic compound have been published.10,12 Therefore, pyrazine and related heterocyclic compounds having good pharmacophore property could be considered for the development of new chemical compounds that may offer many possibilities in the drug development. Our earlier in silico study provided an insight to identify our lead compound, 3[4-morpholine-anilio] carbonyl-2-pyrazine carboxylic acid (QSIVc) that could possibly hinder the QS system of V. cholerae.13 Hence, in the present investigation, derivatives of 2,3-pyrazine dicarboxylic acid were chemically synthesized and investigated for the biofilm inhibition as well as for the synergistic activity with antibiotics.
When piperidine was introduced in the place of morpholine, the antibiofilm property was decreased profoundly (QSIVc3 and QSIVc4). Antibiofilm property was regained when pyrrolidine moiety (QSIVc5 and QSIVc6) was added. Addition of fluoride to its benzene group did not alter the activity of the compound. This suggests that pyrrolidine moiety plays an important role in its activity.
Compound | Clinical isolate Vc4 | Clinical isolate Vc3 | MTCC 3905 | |||
---|---|---|---|---|---|---|
IC50 (μM) | EC50 (μM) | IC50 (μM) | EC50 (μM) | IC50 (μM) | EC50 (μM) | |
a V. cholerae strains used in the study; MTCC 3905-standard reference strain; Vc3-MDR strain (clinical isolate received from JSS Medical College, Mysore); Vc4-MDR strain (clinical isolate received from JSS Medical College, Mysore). IC50 – inhibitory concentration, EC50 eradication concentration. | ||||||
6a (QSIVc1) | 68.3 | 65 | 7.2 | 73.4 | 5.6 | 3.72 |
6b (QSIVc2) | 68.3 | 65.4 | 16.4 | — | 3.9 | 5.3 |
6c (QSIVc3) | — | — | — | — | 11.2 | 21.4 |
6d (QSIVc4) | — | — | — | — | 3.4 | — |
6e (QSIVc5) | 25 | 50.3 | 13.7 | 28.4 | 1.63 | 5.43 |
6f (QSIVc6) | 30.5 | 55.5 | 8.3 | 22.4 | 3.02 | 3.75 |
Antibiofilm activity mainly depends upon the type of functional groups and the concentration of the drug like compound.19 For compounds QSIVc1 and QSIVc2 biofilm inhibition was about 50% at the concentration of 68.3 μM whereas for compounds QSIVc5 and QSIVc6 a significant decrease in biofilm formation (73% and 71% respectively) was noted at the concentration of 25 and 30.5 μM respectively for the MDR Vc4. For MDR Vc3, the percentage of biofilm inhibition was 60% and 54% for QSIVc1 and QSIVc2 at the concentration of 7.2 μM and 16.4 μM respectively. Whereas, the percentage of inhibition for compounds QSIVc5 and QSIVc6 was 69% and 66% at the concentration of 13.7 μM and 8.3 μM. On the other hand, percentage of biofilm inhibition for compounds QSIVc1 and QSIVc2 was above 70% at the concentration of 5.6 and 3.9 μM respectively and for QSIVc5 and QSIVc6 at the concentration of 1.6 and 3.0 μM percentage of inhibition was above 80% for standard susceptible strain. In all the cases, there was no significant reduction of biofilm when the concentration of the synthesized compounds QSIVc1–6 was further increased. The overall results emphasized that not all compounds showed antibiofilm activity. Also, it is noteworthy to mention that ability for the compounds QSIVc1–6 to eradicate the preformed biofilm was very less when compared with its ability to inhibit biofilm formation. Ability of a compound to inhibit biofilm would be probably by altering the quorum-sensing pathway and the molecular basis of their target-specific action has to be further confirmed. Hence, inhibiting the biofilm formation by small ligand molecules would be an important strategy to resensitize the MDR strain to antibiotic compound and host immune system.20
Antibiofilm compound has potential to restore the efficacy of the antibiotics that are inefficient in biofilm bacteria. Literature stating the antibiofilm activity of small molecule that includes from both the natural and synthetic source is very limited. In 2013, a report stated the antibiofilm activity of quinine analogs against V. cholerae.21 Also, polyphenol compounds extracted from coca and cranberries were found to exhibit the antibiofilm activity against S. mutans on primarily affecting the key enzymes, glucosyltransferase and fructosyltransferase activity on initial attachments.22 Examples depicted above prove that such therapeutic approach is an alternative mechanism to combat biofilm mediated infection.
In synergistic study, the percentage growth inhibition of bacteria was calculated for all combination by comparing the OD of the treated with that of the control. Reduction in MIC value for culture that was treated with both the antibiofilm compounds and the antibiotic was observed when compared with the culture exposed to the antibiotics alone. As stated, ΔE and FIC are the two main nonparametric factors for analyzing the interaction between antibiofilm compounds and antibiotics. FIC index is commonly used for determination of the interaction between the two drugs. A vital observation grasped was that except QSIVc3 and QSIVc4 all other compounds (QSIVc1, QSIVc2, QSIVc5, and QSIVc6) interacted synergistically with all the antibiotics used in this study against MDR clinical isolates and standard reference strains. The FIC index ranged from 0.05 to 0.5. When using the ΔE method all the three microorganism taken in this study showed synergistic interaction, ranging from 764 to 1869 and the results were depicted in Table 2. Interaction between chloramphenicol and QSIVc1 showed a marginal synergy as the FIC value was 0.54 for the clinical isolate Vc3. Similarly, interaction between erythromycin and QSIVc1 was additive for clinical isolate Vc4 and the FIC index was 0.67. Results for the FIC model were interpreted as a single outcome even though the experiment was performed in triplicates for each combination. Values for FIC may vary sometimes between the experiments as FICs are determined from the effect of two drugs.26 To overcome this, the ΔE model, an important method to analyze the interaction between the antibiotics and the test compounds used for this study. When ΔE was used for interpreting the interaction, the percentage of growth was directly derived from the experimental data and the results were in full agreement with the findings of FIC model. Moreover, the results of visual observation and OD determination methods for endpoint reading were also in good concordance, which confirm that the OD determination was suitable for interaction studies.
Nonparametric method | |||||||||
---|---|---|---|---|---|---|---|---|---|
Strains | QSIVc1 | QSIVc2 | |||||||
D | T | C | E | D | T | C | E | ||
a FIC model – FIC index of ≤0.5 was defined as synergy (SYN), FICI of >4.0 was defined as antagonism (ANT), and indifference (i.e. no interaction) as a FICI of >0.5 to 4. MTCC3905-standard strain; Vc3 and Vc4 – clinical isolates (MDR) – received from JSS Medical College, Mysore. D = doxycycline, T = tetracycline, C = chloramphenicol, E = erythromycin. | |||||||||
MTCC3905 | FIC | — | — | 0.1 (0.3–0.1) | 0.3 (0.3–0.2) | — | — | 0.2 (0.30–0.005) | 0.1 (0.23–0.007) |
R | — | — | SYN | SYN | — | — | SYN | SYN | |
ΔE | — | — | 1479.2 | 919.2 | — | — | 1409.7 | 1541.5 | |
R | — | — | SYN | SYN | — | — | SYN | SYN | |
Vc3 | FIC | 0.2 (0.4–0.1) | 0.1 (0.3–0.1) | 0.5 (0.5–0.1) | 0.5 (0.1–0.5) | 0.3 (0.26–0.002) | 0.2 (0.2–0.02) | 0.1 (0.24–0.007) | 0.1 (0.38–0.05) |
R | SYN | SYN | ADD | ADD | SYN | SYN | SYN | SYN | |
ΔE | 1106.1 | 1590.2 | 1301.3 | 1885.1 | 1157.0 | 1663.4 | 1368.7 | 1064.6 | |
R | SYN | SYN | SYN | SYN | SYN | SYN | SYN | SYN | |
Vc4 | FIC | 0.08 (0.3–0.01) | 0.05 (0.2–0.01) | 0.12 (0.3–0.2) | 0.67 (0.2–0.6) | 0.21 (0.19–0.01) | 0.04 (0.1–0.007) | 0.07 (0.18–0.005) | 0.3 (0.26–0.17) |
R | SYN | SYN | SYN | ADD/ANT | SYN | SYN | SYN | SYN | |
ΔE | 1001.5 | 1759.0 | 897.7 | 1180.3 | 1051.4 | 1845.1 | 942.9 | 1337.8 | |
R | SYN | SYN | SYN | SYN | SYN | SYN | SYN | SYN |
Nonparametric method | |||||||||
---|---|---|---|---|---|---|---|---|---|
Strains | QSIVc5 | QSIVc6 | |||||||
D | T | C | E | D | T | C | E | ||
MTCC3905 | FIC | — | — | 0.3 (0.12–0.29) | 0.06 (0.13–0.04) | — | — | 0.1 (0.02–0.0.3) | 0.2 (0.01–0.3) |
R | — | — | SYN | SYN | — | — | SYN | SYN | |
ΔE | — | — | 1754.4 | 1416.7 | — | — | 1919.8 | 1759.0 | |
R | — | — | SYN | SYN | — | — | SYN | SYN | |
Vc3 | FIC | 0.07 (0.02–0.25) | 0.06 (0.1–0.04) | 0.35 (0.13–0.4) | 0.36 (0.13–0.34) | 0.06 (0.1–0.06) | 0.03 (0.04–0.03) | 0.05 (0.003–0.11) | 0.14 (0.28–0.03) |
R | SYN | SYN | SYN | SYN | SYN | SYN | SYN | SYN | |
ΔE | 805.4 | 1166.2 | 945.5 | 1868.8 | 921.9 | 1323.2 | 995.0 | 1195.8 | |
R | SYN | SYN | SYN | SYN | SYN | SYN | SYN | SYN | |
Vc4 | FIC | 0.2 (0.17–0.07) | 0.05 (0.14–0.01) | 0.06 (0.04–0.2) | 0.12 (0.32–0.03) | 0.07 (0.18–0.02) | 0.04 (0.11–0.03) | 0.04 (0.2–0.01) | 0.05 (0.13–0.01) |
R | SYN | SYN | SYN | SYN | SYN | SYN | SYN | SYN | |
ΔE | 852.8 | 1483.2 | 763.8 | 1678.5 | 964.1 | 1675.8 | 877.7 | 1075.8 | |
R | SYN | SYN | SYN | SYN | SYN | SYN | SYN | SYN |
Fig. 2 Confocal laser scanning microscopy (CLSM) images showing the effect of QSIVc5 on bacterial biofilm. |
From Fig. 3, it was clearly visible that there were no dead cells (red-stained cells) when the cultures were grown in the presence of QSIVc5 alone (25 μM) stating the absence of bactericidal activity. On the contrary, erythromycin when used alone, exhibited not much bactericidal activity at 15 μM (red-stained cells). However, QSIVc5 revealed its remarkable ability to act synergistically with erythromycin for both standard (MTCC 3905) and clinical isolates (Vc4) of V. cholerae like our in vitro results. Growth of MDR-Vc4 in the presence of 15 μM erythromycin and 25 μM QSIVc5 significantly reduced as biofilm formation has been inhibited by QSIVc5 thus increased the bactericidal activity of erythromycin. In case of MTTC 3905 biofilm growths was significantly reduced when the culture was treated with both the 15 μM erythromycin and 5.4 μM QSIVc5. These results clearly shows that the antimicrobial activity of erythromycin was enhanced when Vc4 and MTCC 3905 were treated with QSIVc5 along with erythromycin as compared to the samples treated with erythromycin alone. This could be possible because of the easy penetration of antibiotic into the planktonic cells rather than the biofilm cells. At this planktonic state, the antibiotics can easily penetrate and can kill bacteria thus reducing the infection.24 Our experimental data is in coherence with the effective combinatorial therapy as it is more important than treating infections with higher concentration of conventional antibiotics.
Fig. 3 Live/dead staining images of bacterial isolates Vc4 and MTCC in the presence of 15 μM concentration of erythromycin and 25 and 5.43 μM of QSIVc5. |
3-(4-Morpholinophenylcarbamoyl) pyrazine-2-carboxylic acid 6a was obtained in 85% yield. Pale white color, IR (neat) 3248.5, 3056.6, 2918.7, 2866.7, 1683.6, 1642.1, 1521.6, 1404.9, 1315.2, 1085.7 cm−1; 1H NMR (300 MHz, DMSO-d6) δ 3.08 (t, J = 4.8 Hz, 4H), 3.74 (t, J = 4.8 Hz, 4H), 6.95 (d, J = 9.0 Hz, 2H), 7.65 (d, J = 9.0 Hz, 2H), 8.87 (s, 2H), 10.60 (s, 1H); 13C NMR (75 MHz, DMSO-d6) δ 48.7, 66.1, 115.2, 121.1, 130.5, 144.2, 145.2, 145.5, 146.6, 147.8, 161.6, 166.4.
3-(3-Fluoro-4-morpholinophenylcarbamoyl) pyrazine-2-carboxylic acid 6b was obtained in 87% yield. Pale white color, IR (neat) 3300.6, 3101.9, 2985.3, 2857.0, 1721.26, 1685.5, 1593.9, 1533.1, 1428.0, 1324.7, 1118.5 cm−1; 1H NMR (300 MHz, DMSO-d6) δ 2.98 (t, J = 4.5 Hz, 4H), 3.74 (t, J = 4.5 Hz, 4H), 7.06 (t, J = 9.3 Hz, 1H), 7.51 (dd, J = 8.7, 1.5 Hz, 1H), 7.70 (dd J = 14.7, 2.1 Hz, 1H), 8.88–8.91 (m, 2H), 10.86 (s, 1H); 13C NMR (75 MHz, DMSO-d6) δ 50.6, 66.1, 108.3 (d, J = 25.5 Hz), 116.2, 119.1 (d, J = 3.8 Hz), 133.3 (d, J = 10.5 Hz), 136.0 (d, J = 9.0 Hz), 144.4, 145.0, 145.8, 146.5, 154.3 (d, J = 241.5 Hz), 162.0, 166.3.
3-(4-(Piperidin-1-yl) phenyl carbamoyl) pyrazine-2-carboxylic acid 6c was obtained in 93% yield. Light bluish grey color, IR (neat) 3237.0, 3052.8, 2940.00, 1682.6, 1631.5, 1517.7, 1403.0, 1319.0, 1085.7 cm−1; 1H NMR (300 MHz, DMSO-d6) δ 1.52–1.62 (m, 6H) 3.10 (t, J = 5.7 Hz, 4H), 6.93 (d, J = 9.0 Hz, 2H), 7.62 (d, J = 9.0 Hz, 2H), 8.87 (s, 2H), 10.56 (s, 1H); 13C NMR (75 MHz, DMSO) δ 23.8, 25.2, 49.9, 116.0, 121.1, 129.9, 144.2, 145.3, 145.5, 146.5, 148.5, 161.5, 166.4.
3-(3-Fluoro-4-(piperidin-1-yl) phenyl carbamoyl) pyrazine-2-carboxylic acid 6d was obtained in 86% yield. White color, IR (neat) 3241.75, 3056.62, 2944.8, 1688.4, 1627.6, 1522.5, 1401.0, 1274.7, 1083.8 cm−1; 1H NMR (300 MHz, DMSO-d6) δ 1.52–1.65 (m, 6H), 2.94 (t, J = 5.4 Hz, 4H), 7.04 (t, J = 9.0, 1H), 7.48 (dd, J = 8.7, 1.5 Hz, 1H), 7.67 (dd, J = 15.0, 2.4 Hz, 1H), 8.85–8.90 (m, 2H), 10.83 (s, 1H); 13C NMR (75 MHz, DMSO) δ 23.7, 25.7, 51.6 (d, J = 3.0 Hz), 108.2 (d, J = 25.5 Hz), 116.1 (d, J = 2.3 Hz), 119.4 (d, J = 3.8 Hz), 132.9 (d, J = 10.5 Hz), 137.3 (d, J = 9.0 Hz), 144.4, 145.0, 145.7, 146.5, 154.3 (d, J = 241.5 Hz), 162.0, 166.3.
3-(4-(Pyrrolidin-1-yl) phenyl carbamoyl) pyrazine-2-carboxylic acid 6e was obtained in 81% yield. Maroon color, IR (neat) 3345.9, 2924.9, 2849.3, 1744.3, 1678.7, 1525.4, 1370.1, 1245.8, 1080.9 cm−1; 1H NMR (300 MHz, DMSO-d6) δ 1.95 (t, J = 6.3, 4H) 3.22 (t, J = 6.3, 4H), 6.53 (d, J = 9.0 Hz, 2H), 7.60 (d, J = 9.0 Hz, 2H), 8.85 (s, 2H), 10.47 (s, 1H); 13C NMR (75 MHz, DMSO-d6) δ 23.3, 45.8, 109.8, 120.0, 125.4, 142.5, 143.3, 143.5, 143.8, 145.1, 159.4, 165.0.
3-(3-Fluoro-4-(pyrrolidin-1-yl) phenyl carbamoyl) pyrazine-2-carboxylic acid 6f was obtained in 82% yield. Light yellow color, IR (neat) 3276.5, 3102.9, 2949.6, 1685.5, 1535.1, 1427.1, 1150.3, 1082.8 cm−1; 1H NMR (300 MHz, DMSO-d6) δ 1.89 (t, J = 6.3, 4H), 3.30 (t, J = 6.3 Hz, 4H), 6.74 (t, J = 9.6 Hz, 1H), 7.42 (dd, J = 9.0, 1.8 Hz, 1H), 7.64 (dd, J = 15.9, 2.1 Hz, 1H), 8.83–8.89 (m, 2H), 10.72 (s, 1H). 13C NMR (75 MHz, DMSO-d6) δ 24.6, 49.5 (d, J = 4.5 Hz), 108.5 (d, J = 25.5 Hz), 115.3 (d, J = 6.0 Hz), 116.5 (d, J = 2.3 Hz), 128.8 (d, J = 9.8 Hz), 133.8 (d, J = 9.8 Hz), 144.2, 144.8, 145.6, 146.7, 150.5 (d, J = 237.0 Hz), 161.5, 166.4.
The bliss independence model or BI theory can be defined by the equation Ii = (IA + IB) − (IA × IB), where Ii is the predicted percentage of inhibition of the theoretical combination of drug A and B; IA and IB are the experimental percentages of inhibition of each drug acting alone. Since I is equal to 1 − E, where E is the percentage of growth, and by substitution into the former equation, and thus a resultant equation is derived as Ei = EA × EB, where Ei is the predicted percentage of growth of the theoretical combination of drug A and drug B, respectively, and EA and EB are the experimental percentages of growth of each drug action alone respectively. The interaction is described by the difference ΔE between the predicted and the measured percentages of growth at various concentrations (ΔE = Epredicted − Emeasured) whereas, the EA and EB are obtained directly from the experimental data by the nonparametric approach described by Prichard et al. The nature of interactions were studied using the microtiter plate assay with a twofold dilution of either drug would result in a ΔE for each drug combination. In each of the three independent experiments, the observed percentages of growth obtained from the experimental data were subtracted from the predicted percentages, and then the average difference of the three experiments was calculated. When the average difference as well as its 95% confidence interval among the three replicates was positive, statistically found to be significant and synergy was claimed; when the difference as well as its 95% confidence interval was negative, a significant antagonism was claimed and in other cases, BI was concluded. To summarize the interaction surface, the sums of the percentages of all statistically significant synergistic ([summ] SYN) and antagonistic ([summ] ANT) interactions were calculated. Interactions with <100% statistically significant interactions were considered weak, interactions with 100% to 200% statistically significant interactions were considered moderate, and interactions with >200% statistically significant interactions were considered strong, as described previously.26 In addition, numbers of statistically significant synergistic and antagonistic combinations among all tested drug combinations were calculated for each strain.
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