Open Access Article
Mohmmad Younus Wani
*a,
Vartika Srivastava
b,
Waleed Ahmed El-Said
a,
Abdullah Saad Al-Bogamia and
Aijaz Ahmad
bc
aDepartment of Chemistry, College of Science, University of Jeddah, 21589 Jeddah, Saudi Arabia. E-mail: mwani@uj.edu.sa
bDepartment of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, South Africa
cDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
First published on 4th July 2024
Candida auris, a recent addition to the Candida species, poses a significant threat with its association to numerous hospital outbreaks globally, particularly affecting immunocompromised individuals. Given its resistance to existing antifungal therapies, there is a pressing need for innovative treatments. In this study, novel triazole bridged quinoline derivatives were synthesized and evaluated for their antifungal activity against C. auris. The most promising compound, QT7, demonstrated exceptional efficacy with a minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) of 0.12 μg mL−1 and 0.24 μg mL−1, respectively. Additionally, QT7 effectively disrupted mature biofilms, inhibiting them by 81.98% ± 8.51 and 89.57 ± 5.47 at MFC and 2× MFC values, respectively. Furthermore, QT7 induced cellular apoptosis in a dose-dependent manner, supported by various apoptotic markers such as phosphatidylserine externalization, mitochondrial depolarization, and reduced cytochrome c and oxidase activity. Importantly, QT7 exhibited low hemolytic activity, highlighting its potential for further investigation. Additionally, the physicochemical properties of this compound suggest its potential as a lead drug candidate, warranting further exploration in drug discovery efforts against Candida auris infections.
C. auris generally spreads from person to person and according to experts the transmission capability of this pathogen varies from other species of Candida.5 Also, unlike several other species of Candida, C. auris is not a member of healthy microflora and is not naturally present within the gastrointestinal tract of humans.6 This species of Candida is tagged with various pathogenic attributes that are very similar to C. albicans, factors such as hydrolytic enzyme secretion, nutrient acquisition, siderophore-based iron acquisition, tissue penetration, two-component histidine kinase system, and pathways involved in cell wall modelling are commonly reported.7,8 C. auris also displayed the capability to form biofilms allowing for the colonization on biotic and abiotic surfaces.9 Additionally, evidence of C. auris escaping the host immune response has been published in the past.10,11 Thus, alternative strategies for prevention and better management of the global fungal burden are in high demand.12
The Centers for Disease Control and Prevention (CDC) breakpoint evaluation of C. auris isolates in the United States of America revealed remarkably elevated minimal inhibitory concentration (MIC) for commonly used antifungal drugs.13 Thus, the foremost challenge in managing invasive C. auris infections is the high level of drug resistance along with its capacity to swiftly acquire resistance to the three main classes of anti-Candida drugs. This suggests that developing an effective management strategy for this multi-drug resistant species of Candida would be extremely challenging. Consequently, there is an unequivocal need for new antifungal molecules with distinct and alternative mechanisms of antifungal action. Creating new antifungal treatments is a formidable and demanding activity due to the numerous resemblances between yeast and human cellular machinery. A pragmatic approach to combat this multi-drug resistant threat has been the structural modification of established antifungal drug classes, significantly aiding in circumventing the mechanisms of antifungal drug resistance.
Triazoles have long been used as pivotal components in the arsenal against fungal infections, owing to their broad-spectrum activity and favorable pharmacokinetic properties.14,15 However, the rise of drug-resistant fungal strains necessitates continuous innovation in antifungal therapeutics.16 One promising avenue lies in the development of novel triazole derivatives incorporating quinoline moieties17 as depicted in Fig. 1. Quinolines possess diverse pharmacological activities, including antimicrobial effects, and their integration with triazoles offers the potential to enhance antifungal efficacy.18,19 Furthermore, click chemistry techniques, such as the CuAAC reaction, facilitate the synthesis of these hybrid molecules with improved efficiency and precision.20 By harnessing the synergistic properties of triazoles and quinolines, and in continuation of our search for better antifungal leads,21–24 in this study, we synthesized new triazole bridged quinoline derivatives and evaluated them for their antifungal activity profile. Furthermore, we investigated their mechanisms of action and predicted their physicochemical properties to pinpoint lead antifungal molecules with drug-like properties.
O) and absence of any stretching bands for azide (N
N
N at or around 2100–2160 cm−1) or alkyne (around 2100–2140 cm−1) indicated the cyclization of 8-(prop-2-yn-1-yloxy)quinoline with 2-azidoacetyl chloride. The formation of the triazole ring was also confirmed by the characteristic absorption band in the region 3165–3135 cm−1 in the FTIR spectra due to the
C–H stretching of the triazole ring in the target derivatives. The presence of a singlet peak at 8.20 (1H, s, triazole ring) in 1HNMR spectrum and the presence of peaks at 147.6 and 123.4 in 13CNMR spectrum corresponding to the carbon atoms in the triazole ring established the structure of the compound 2. Positive ion mass peak at m/z: [M+ + H] 303.75 further confirmed the structure. The structures of the target compounds were also established in a similar way. The formation of the amide bonds in the target compounds was established by the characteristic stretching frequencies for C
O and N–H, represented as amide I and amide II, characteristic of amides. The 1HNMR, 13CNMR and ESI MS spectra were also in agreement with the established structures of the new molecules as given in the experimental section and ESI.†
![]() | ||
| Scheme 1 Synthesis of triazole-bridged quinoline derivatives (QT1–QT10); reagents and conditions: (a) sodium ascorbate, CuSO4, DMF (b) HATU/DIPEA, DMF, 60 °C. | ||
| Derivative | MIC (μg mL−1) | MFC (μg mL−1) | Derivative | MIC (μg mL−1) | MFC (μg mL−1) |
|---|---|---|---|---|---|
| QT1 | 15.62 | 62.5 | QT6 | 0.97 | 1.95 |
| QT2 | 15.62 | 62.5 | QT7 | 0.12 | 0.23 |
| QT3 | 3.90 | 7.81 | QT8 | 7.81 | 15.62 |
| QT4 | 7.813 | 15.62 | QT9 | 15.62 | 62.5 |
| QT5 | 7.813 | 15.62 | QT10 | 15.62 | 62.5 |
| DMSO | — | — | FLZ | 125 | NA |
Furthermore, micrographs obtained from confocal microscopy supported the crystal violet assay and confirmed the anti-biofilm activity of QT7 (Fig. 3). A large number of accumulated and metabolically active C. auris cells were observed in the untreated control sample. The micrograph of the untreated control sample showed a well-defined and dense biofilm matrix with bright green fluorescence (produced by ConA-Alexa Fluor 488 conjugate dye) and the cells embedded into the matrix were fluoresced red (generated by FUN-1 dye). The images of the C. auris biofilm treated with various doses of compound (MIC to 2× MFC) revealed the biofilm disruptive ability of QT7. At higher concentrations, MFC and 2× MFC, the compound destroyed the mature biofilm which was evident from faded green and red fluorescence as compared to the untreated control. Therefore, these results expose the fact that QT7 can penetrate the biofilm matrix thus impacting the sustainability of yeast cells embedded in the biofilm matrix and therefore resulting in successful anti-biofilm activity.
The MMP is directly proportional to the mitochondrial energetic status and is used to gauge the activity of energy-dependent proton pumps, electron transport systems and mitochondrial permeability. The thrashing of MMP is considered important for cellular sustainability and is an indispensable step for the onset of the apoptotic cascade. Hence, to examine the apoptotic potential of QT7 its impact on the MMP was evaluated. The constant MMP in viable cells permits the JC-10 dye to aggregate (red fluorescence) whereas, in the case of apoptotic cells (lower MMP) the JC-10 dye stays in its monomeric form (green fluorescence). In the present experiment the MMP was quantified in terms of the ratio between JC-10 aggregates and JC-10 monomers and a decrease in the output compared to the untreated control indicated deprotonation of MMP (Fig. 4). The average RF to GF ratio in the untreated control cells was high (RF/GF = 2.43, 40.27) representing intact mitochondrial membrane whereas, the value for the compound-treated cells and the positive control was lower representing the compromised MMP. The average RF/GF values for 1/2× MIC, MIC and positive control were 2.12 C 0.14, 1.8, 10.07 and 1.95 ± 0.06 respectively. These findings advocate the ability of QT7 to reduce the mitochondrial membrane potential in C. auris by disintegrating the mitochondrial membrane. The depolarization of the mitochondrial membrane triggers the leakage of cytochrome c along with other crucial factors into the cytoplasm and finally results in apoptosis.32
Evaluation of cytochrome c oxidase activity helps in understanding if the cells are undergoing apoptosis. In the present work, we quantified the amount of cytochrome c leaching out from mitochondria into the cytosol in the untreated control, compound-treated (1/2× MIC, MIC) and positive control cells (Fig. 5). According to the data obtained, cells treated with QT7 showed a significant surge in cytosolic cytochrome c levels as compared to the untreated control cells. The cytosolic and mitochondrial cytochrome c values for the untreated control cells were considered 1.0. The treatment with QT7 at different concentrations resulted in a significant oozing out of cytochrome c from the mitochondria and the average relative values for mitochondrial cytochrome c were 0.92 we0.07 and 0.84 ± 0.03 at 1/2× MIC and MIC respectively whereas, the values for cytosolic cytochrome c were 1.16 we0.09 and 1.21 d 0.06 at 1/2× MIC and MIC respectively. In the positive control, the level of cytochrome c in mitochondria was found to be 0.88 in0.04 and in the cytosol, the value was 1.19 d 0.02. In yeast cells, cytochrome c controls both cellular metabolism as well as apoptotic pathways and is also responsible for electron transfer from complex III to IV in mitochondria therefore the discharge of cytochrome c disturbs the electron transport chain and triggers apoptosis.33
The onset of apoptosis exposes membrane protein (phosphatidylserine) to the outer side of the plasma membrane.34 Thus, we included this experiment to validate the apoptotic property of QT7. The exposure of phosphatidylserine was determined with the help of the Annexin V + PI dual staining assay. During the process, Annexin V stains the exposed phosphatidylserine while PI validates plasma membrane integrity. Hence, this technique can discriminate between apoptotic, late apoptotic and necrotic cells (Fig. 6). In the untreated control, the majority of cells (95.3%) were confined to Q4 representing the presence of live cells in the sample. Whereas treatment with QT7 at 1/2× MIC resulted in the migration of cells from Q4 (71.7%) to Q2 (15.6%), Q3 (3.05%) and Q1 (9.62%), representing the onset of cellular apoptosis and at a higher concentration of compound (MIC) the maximum cellular population was found sitting in Q2 (65.9%) followed by Q1 (18.4%), Q4 (12.8%) and Q3 (2.83%). The data suggested that QT7 has exerted dose-dependent cellular apoptosis in C. auris. Similarly, the cellular population in the positive control was dispersed in all the quadrants (37.9%, Q1; 27.4%, Q2; 1.49%, Q3 and 33.2%, Q4) suggesting exposure to H2O2 triggered necrosis in C. auris.
log
Papp (cm s−1) × 10) (Table S1 in the ESI†). Furthermore, the intrinsic water solubility (log
S0) was determined to be within the range of −4.83 to −3.78. It is a very important property that describes the solubility of a compound in an uncharged state and is pH independent. The molecules also exhibit favorable characteristics such as high intestinal absorption (approximately 93% absorbed in humans), skin permeability ranging around −2.74 (log
Kp), blood–brain barrier (BBB), permeability from −0.87 to 0.67 (log
BB), and central nervous system (CNS) permeability around −2.74 (log
PS). Notably, the clearance values, which represent the rate of drug removal relative to its plasma concentration, were found to be quite favorable for all derivatives (0.06 to 0.29 mL min−1 kg−1). This suggests that the accumulation of these molecules will not occur in the body, indicating their non-hepatotoxic and non-toxic behavior. The oral rat acute toxicity (LD50) ranged from 2.47 to 3.06 mol kg−1, while the oral rat chronic toxicity (LOAEL) was observed between 0.83 to 1.38 (mg kg−1 day−1), with a maximum tolerated dose (human) ranging from 0.06 to 0.48 mg kg−1 day−1. All these findings demonstrate that these molecules possess favorable ADMET profile, which is essential for a compound to exhibit drug-like characteristics.
The parameters of pharmacokinetic characteristics and adherence to Lipinski's filters, which encompass essential physicochemical properties, are very significant for in vitro and in silico assessment of drug like characteristics.37–39 Lipinski's rule of five serves as a valuable tool in the drug discovery process, aiding in predicting the oral bioavailability of potential drug candidates. By considering factors like the number of H-bond acceptors and donors, lipophilicity and molecular weight, this rule assists in the identification of compounds with a higher likelihood of successful oral delivery.
While not an absolute determinant of a drug's fate, adhering to these guidelines helps streamline the initial stages of drug development and prioritize compounds with a greater potential for effective oral administration. A compound that does not exhibit favorable pharmacokinetic parameters or comply with Lipinski's filters is likely to face obstacles in the last stages of the development of drug. Based on the projected pharmacokinetic parameters and after subjecting the molecules to Lipinski's filters (Table 2), it is apparent that all the compounds possess favorable drug-like characteristics and hold promise as potential candidates for further investigation and study.
| Compound | MWt | C log Pa |
log Db |
HBA | HBD | RBs | tPSA | Ro5 (Y/N) |
|---|---|---|---|---|---|---|---|---|
a At pH 7.4.b Determined with ChemAxon log D predictor.c Standard drug; HBA: hydrogen bond acceptor, HBD: hydrogen bond donor, obtained by Marvin Sketch 23.16; RB: rotatable bonds; Ro5 (Y/N): rule of five followed or not; Y: yes; N: no; veber filter: rotatable bonds ≤ 10, tPSA ≤ 140 in Å2. |
||||||||
| QT1 | 359.14 | 2.519 | 2.74 | 5 | 1 | 7 | 81.93 | Y |
| QT2 | 373.42 | 3.018 | 3.25 | 5 | 1 | 7 | 81.93 | Y |
| QT3 | 377.38 | 2.919 | 2.88 | 6 | 1 | 7 | 81.93 | Y |
| QT4 | 393.83 | 3.489 | 3.34 | 6 | 1 | 7 | 81.93 | Y |
| QT5 | 438.29 | 3.639 | 3.51 | 6 | 1 | 7 | 81.93 | Y |
| QT6 | 404.39 | 2.814 | 2.68 | 7 | 1 | 8 | 127.75 | Y |
| QT7 | 404.39 | 2.814 | 2.68 | 7 | 1 | 8 | 125.07 | Y |
| QT8 | 427.39 | 3.853 | 3.62 | 8 | 1 | 8 | 78.65 | Y |
| QT9 | 389.42 | 2.594 | 2.58 | 6 | 1 | 8 | 87.88 | Y |
| QT10 | 428.27 | 4.173 | 3.95 | 7 | 1 | 7 | 81.93 | Y |
| Fluconazolec | 306.27 | 0.50 | 0.56 | 7 | 1 | 5 | 81.93 | Y |
The assessment of molecules using the bioavailability radar tool from SwissADME revealed that certain molecules demonstrated promising physicochemical properties related to oral bioavailability. When examining the most active molecule (QT7), its bioavailability radar plot displayed favorable characteristics within the pink-colored area (as depicted in Fig. 8).40,41 This pink area demonstrates the desired range for six important physicochemical parameters, crucial for oral bioavailability: flexibility, lipophilicity, solubility polarity size and saturation.
For a compound to be considered as drug like, its radar plot should fall completely within the pink area, indicating optimal values for every property. These properties include polarity (TPSA) between 20 and 130 Å2, solubility (log
S) not exceeding 6, size (MW) between 150 and 500 g mol−1, number of rotatable bonds (flexibility) no more than 9, fraction of carbons in sp3 hybridization (saturation) not less than 0.25, and lipophilicity (XLOGP3) between −0.7 and +5.0. The molecules exhibiting a bioavailability radar plot within the pink area demonstrate desirable physicochemical properties associated with enhanced oral bioavailability. This suggests that they have the potential to be effectively absorbed and distributed in the body, increasing their chances of success as drug candidates. It is important to note that while the molecules meet the criteria within the pink area of the bioavailability radar, further comprehensive evaluations are necessary to assess other aspects of drug development, including pharmacological activity, efficacy, safety, and potential drug interactions.
The findings of the study reveal that the triazole-bridged quinoline derivative QT7, featuring a nitro group at position-3 of the phenyl ring of the acetamide moiety, exhibits exceptional efficacy. QT7 demonstrated minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) values of 0.12 μg mL−1 and 0.24 μg mL−1, respectively, indicating its high potency in inhibiting and killing C. auris cells. This potency is notably superior compared to other derivatives that are structurally similar but vary in the substituents on the phenyl ring. Specifically, the presence of a nitro group at position-4 of the phenyl ring in QT6 increased the MIC and MFC to 0.97 μg mL−1 and 1.95 μg mL−1, respectively, suggesting that the position of the nitro group significantly influences efficacy. The derivative QT1, which has an unsubstituted phenyl ring, exhibited much higher MIC and MFC values of 15.62 μg mL−1 and 62.5 μg mL−1, respectively. Substitutions with a methyl (QT2) or methoxy group (QT9) at position-4 did not markedly improve efficacy, with MIC values of 7.813 μg mL−1 and 15.62 μg mL−1, respectively. However, substitutions with chloro (QT4), bromo (QT5), and trifluoromethyl groups (QT8) led to MIC and MFC values of 7.813 μg mL−1 and 15.62 μg mL−1 respectively, indicating varied impacts on antifungal activity. Interestingly, the substitution with a fluoro group further decreased the MIC and MFC to 3.90 μg mL−1 and 7.81 μg mL−1, respectively. The efficacy of QT10, which features a 2,4-dichlorophenyl ring, was found to be similar to that of the unsubstituted phenyl ring.
These observations suggest that the nitro group at position-3 of the phenyl ring is the most favorable for achieving optimal binding interactions with the target. The electronic effects of the substituents likely play a critical role in determining the efficacy of the molecules, indicating that both the nature and position of the substituents are crucial for antifungal activity. Furthermore, the ability QT7 to disrupt mature biofilms by 81.98% at MFC and 89.57% at 2× MFC highlights its potential in addressing biofilm-associated infections, which are notoriously resistant to treatment. The mode of action of QT7 is particularly noteworthy, as it induces cellular apoptosis in C. auris through various apoptotic pathways. Key markers such as phosphatidylserine externalization, mitochondrial depolarization, and reduced cytochrome c and oxidase activity collectively contribute to the apoptotic process. This multifaceted mechanism not only enhances our understanding of the antifungal effect of QT7 but also opens avenues for targeting similar pathways in other resistant fungal pathogens.
The promising physicochemical properties of QT7 further support its potential as a lead drug candidate. These properties, including solubility, stability, and bioavailability, are critical in the drug development process. Additionally, QT7 exhibited low hemolytic activity, indicating minimal toxicity towards human red blood cells (h-RBCs). This finding is crucial, suggesting that QT7 can be administered at therapeutic concentrations without causing significant harm to human cells, thereby enhancing its candidacy for further development. Future studies should focus on in vivo applications of QT7 to assess the efficacy and safety in animal models, providing crucial data for potential clinical trials. Moreover, exploring the efficacy of QT7 against a broader spectrum of fungal pathogens could establish its role as a versatile antifungal agent.
Yield: 95%; anal. calc. for C14H11ClN4O2: C 55.52, H 3.65, N 18.50%; found: C 55.40, H 3.68, N 18.65%; FTIR νmax cm−1: 3185 (C–H triazole ring), 2850 (C–H), 1725 (C
O), 1630 (C
N); 1H NMR (DMSO-d6) δ (ppm): 8.69 (dd, 1H, quinoline ring), 8.20 (1H, s, triazole ring), 8.11 (d, 1H, quinoline ring), 7.51–7.05 (m, 4H, quinoline ring), 5.86 (2H, s, CH2), 5.29 (2H, s, CH2); 13CNMR (DMSO-d6) δ (ppm): 167.4 (C
O), 152.7 (C–O), 147.6 (C
N), 143.2, 139.6, 129.3, 127.5, 125.8, 125.0, 123.4, 122.6, 121.5, 111.7, 58.3, 54.3; ESI-MS m/z: [M+ + H] 303.75.
O), 1630 (C
N); 1H NMR (DMSO-d6) δ (ppm): 8.96 (s, 1H, NH), 8.69 (dd, 1H, quinoline ring), 8.20 (1H, s, triazole ring), 8.11 (d, 1H, quinoline ring), 7.53–7.42 (m, 4H, quinoline ring), 7.40–7.24 (m, 5H, Ph), 5.46 (2H, s, CH2), 5.29 (2H, s, CH2); 13CNMR (DMSO-d6) δ (ppm): 168.4 (C
O), 152.7 (C–O), 147.6 (C
N), 143.2, 139.6, 137.5, 129.8, 129.0, 127.5, 125.7, 125.0, 123.9, 122.7, 121.8, 120.1, 111.7, 59.3, 57.3; ESI-MS m/z: [M++H] 360.14.
O), 1632 (C
N); 1H NMR (DMSO-d6) δ (ppm): 9.70 (s, 1H, NH), 8.68 (dd, 1H, quinoline ring), 8.21 (1H, s, triazole ring), 8.09 (d, 1H, quinoline ring), 7.50–7.42 (m, 4H, quinoline ring), 7.40–7.23 (m, 4H, Ph), 5.46 (2H, s, CH2), 5.29 (2H, s, CH2) 2.35 (3H, s, CH3); 13CNMR (DMSO-d6) δ (ppm): 168.4 (C
O), 152.7 (C–O), 147.6 (C
N), 143.2, 139.6, 137.5, 129.8, 129.0, 127.5, 125.7, 125.0, 123.9, 122.7, 121.8, 120.1, 111.7, 59.3, 52.9, 20.73; ESI-MS m/z: [M+ + H] 374.18.
O), 1628 (C
N); 1H NMR (DMSO-d6) δ (ppm): 9.72 (s, 1H, NH), 8.69 (dd, 1H, quinoline ring), 8.20 (1H, s, triazole ring), 8.10 (d, 1H, quinoline ring), 7.52–7.44 (m, 4H, quinoline ring), 7.38–7.23 (m, 4H, Ph), 5.46 (2H, s, CH2), 5.29 (2H, s, CH2); 13CNMR (DMSO-d6) δ (ppm): 169.5 (C
O), 152.5 (C–O), 147.5 (C
N), 143.6, 139.2, 137.0, 129.3, 129.1, 127.6, 125.8, 125.0, 123.2, 122.4, 121.4, 120.6, 111.5, 58.6, 52.5; ESI-MS m/z: [M+ + H] 377.13.
O), 1630 (C
N); 1H NMR (DMSO-d6) δ (ppm): 9.55 (s, 1H, NH), 8.67 (dd, 1H, quinoline ring), 8.21 (1H, s, triazole ring), 8.10 (d, 1H, quinoline ring), 7.58–7.46 (m, 4H, quinoline ring), 7.40–7.23 (m, 4H, Ph), 5.46 (2H, s, CH2), 5.29 (2H, s, CH2); 13CNMR (DMSO-d6) δ (ppm): 168.5 (C
O), 152.7 (C–O), 147.6 (C
N), 143.1, 139.6, 137.1, 129.3, 128.1, 127.5, 125.7, 125.1, 122.8, 121.8, 111.7, 59.3, 52.9; ESI-MS m/z: [M+ + H] 394.10.
O), 1632 (C
N); 1H NMR (DMSO-d6) δ (ppm): 9.58 (s, 1H, NH), 8.66 (dd, 1H, quinoline ring), 8.21 (1H, s, triazole ring), 8.11 (d, 1H, quinoline ring), 7.56–7.44 (m, 4H, quinoline ring), 7.38–7.23 (m, 4H, Ph), 5.45 (2H, s, CH2), 5.29 (2H, s, CH2); 13CNMR (DMSO-d6) δ (ppm): 168.1 (C
O), 152.7 (C–O), 147.6 (C
N), 143.2, 139.6, 137.2, 129.4, 128.5, 127.5, 125.5, 125.0, 122.4, 121.8, 111.7, 59.6, 52.6; ESI-MS m/z: [M+ + H] 438.05.
O), 1632 (C
N); 1H NMR (DMSO-d6) δ (ppm): 9.58 (s, 1H, NH), 8.69 (dd, 1H, quinoline ring), 8.21 (1H, s, triazole ring), 8.10 (d, 1H, quinoline ring), 8.01–7.79 (m, 4H, Ph), 7.38–7.23 (m, 4H, quinoline ring), 5.48 (2H, s, CH2), 5.23 (2H, s, CH2); 13CNMR (DMSO-d6) δ (ppm): 168.1 (C
O), 152.7 (C–O), 147.6 (C
N), 143.2, 142.6, 139.2, 129.4, 127.5, 125.5, 125.0, 122.4, 121.8, 118.2, 111.7, 59.3, 53.0; ESI-MS m/z: [M+ + H] 405.39.
O), 1630 (C
N); 1H NMR (DMSO-d6) δ (ppm): 9.56 (s, 1H, NH), 8.68 (dd, 1H, quinoline ring), 8.25 (1H, s, triazole ring), 8.12 (d, 1H, quinoline ring), 8.02–7.76 (m, 4H, Ph), 7.42–7.24 (m, 4H, quinoline ring), 5.50 (2H, s, CH2), 5.22 (2H, s, CH2); 13CNMR (DMSO-d6) δ (ppm): 168.0 (C
O), 153.3 (C–O), 148.6 (C
N), 147.5, 143.1, 139.2, 138.8, 130.4, 129.5, 127.5, 126.1, 125.7, 125.0, 122.7, 121.6, 117.8, 114.5, 111.7, 59.3, 53.0; ESI-MS m/z: [M+ + H] 405.39.
O), 1632 (C
N); 1H NMR (DMSO-d6) δ (ppm): 9.56 (s, 1H, NH), 8.66 (dd, 1H, quinoline ring), 8.21 (1H, s, triazole ring), 8.10 (d, 1H, quinoline ring), 7.76–7.47 (m, 4H, Ph), 7.38–7.14 (m, 4H, quinoline ring), 5.49 (2H, s, CH2), 5.23 (2H, s, CH2); 13CNMR (DMSO-d6) δ (ppm): 168.1 (C
O), 152.7 (C–O), 147.6 (C
N), 143.1, 139.6, 138.6, 129.3, 127.5, 126.5, 125.7, 125.0, 122.7, 121.8, 120.3, 111.7, 59.3, 52.9; ESI-MS m/z: [M+ + H] 428.13.
O), 1628 (C
N); 1H NMR (DMSO-d6) δ (ppm): 9.51 (s, 1H, NH), 8.69 (dd, 1H, quinoline ring), 8.21 (1H, s, triazole ring), 8.11 (d, 1H, quinoline ring), 7.51–7.42 (m, 4H, quinoline ring), 7.36–6.96 (m, 4H, Ph), 5.46 (2H, s, CH2), 5.29 (2H, s, CH2) 3.80 (3H, s, OCH3); 13CNMR (DMSO-d6) δ (ppm): 168.2 (C
O), 156.4 (C–O), 152.5 (C–O), 147.6 (C
N), 143.1, 139.6, 133.5, 129.3, 127.5, 125.7, 125.1, 123.2, 122.7, 121.8, 120.1, 112.2, 59.3, 52.9, 50.2; ESI-MS m/z: [M+ + H] 390.15.
O), 1630 (C
N); 1H NMR (DMSO-d6) δ (ppm): 9.50 (s, 1H, NH), 8.68 (dd, 1H, quinoline ring), 8.21 (1H, s, triazole ring), 8.10 (d, 1H, quinoline ring), 7.50–7.42 (m, 4H, quinoline ring), 7.38–7.16 (m, 3H, Ph), 5.46 (2H, s, CH2), 5.29 (2H, s, CH2); 13CNMR (DMSO-d6) δ (ppm): 168.0 (C
O), 152.7 (C–O), 147.6 (C
N), 143.1, 139.6, 136.4, 132.5, 129.7, 127.5, 125.7, 125.3, 122.7, 122.2, 121.8, 120.0, 111.7, 59.3, 53.0; ESI-MS m/z: [M++H] 429.07.
| Biofilm inhibition rate = (OD control − OD sample/OD control) × 100 |
The crystal violet assay was further confirmed using confocal laser scanning microscopy.9 In a parallel experiment, the compound-treated (MIC, MFC and 2× MFC) and untreated 24 h mature biofilm was stained with fluorescent dyes FUN-1 and ConA-Alexa Fluor 488 conjugate (45 minutes in dark). The slides were visualised using a confocal microscope CLSM-780 and Airyscan. The images were captured in a multitrack mode (FUN-1, Ex/Em = 543/560 nm; ConA, Ex/Em = 488/505 nm). The ConA dye has the ability to conjugate with the biofilm matrix and fluoresces green whereas FUN-1 stains the live cells and gives red fluorescence.
The MMP was measured with the help of the JC-10 kit (Abcam, UK) and the method was adopted from the user's manual. As suggested, ninety microliters of both treated and untreated C. auris cells were mixed with fifty microliters of JC-10 dye in black-walled and transparent-bottom microtiter plates (Thermo Fisher Scientific, Germany) and kept at room temperature in the dark for one hour. Afterwards, all the wells of the microtiter plate were supplemented with fifty microliters of buffer B and the plate was spun at 800 rpm for 2 minutes. The result was captured using a microplate reader (Ex/Em = 490/530 nm, green fluorescence (GF); 540/590 nm, red fluorescence (RF)). The MMP was calculated as the ratio of the mean value of RF to GF and a decreased ratio compared to the untreated control signified the depolarization of MMP.22
For examining the leakage of cytochrome c oxidase from mitochondria to the cytoplasm, all the samples were washed twice with PBS and homogenized in buffer X (EDTA, 1 mM; PMSF, 1 mM; tris base 50 mM; pH = 7.5). Then the cells were spun (4000 rpm and 10 minutes), and the supernatant was secured and again subjected to centrifugation for 45 minutes at 15
000 rpm. The clear supernatant was aliquoted in clean 1.5 mL microcentrifuge tubes and was used to evaluate the concentration of cytochrome c in the cytoplasm. Parallelly, the pellet was resuspended in buffer Y (EDTA, 2 mM; tris base 50 mM; pH = 5.0) and was used to quantify the concentration of cytochrome c in the mitochondria. Before analysis, ascorbic acid (500 mg mL−1) was added to the samples to reduce the amount of cytochrome c present, and the relative amount of the reduced cytochrome c was analyzed at 550 nm.44
The transfer of phosphatidylserine to the outer portion of the cell membrane denotes the onset of apoptosis and this phenomenon can be traced by using Annexin V-FITC Apoptosis Detection Kit I (BD, USA) [9]. Briefly, the treated cells (0.5–2.5 × 103 cells per mL) were mixed in 1× binding buffer and mixed with 5 μL each of propidium iodide (PI) and Annexin V-FITC. Thereafter, samples were kept in a dark room for 15 min. Binding buffer (400 μL) was again added to each sample followed by analysis through a Flow cytometer (BD, USA) and FlowJo_V10 software was used for analyzing the results. The obtained cell population was segregated into 4 quadrants (Q), Q 1: necrosis (Annexin V−/PI+); Q2: late apoptosis (Annexin V+/PI+); Q3: early apoptosis (Annexin V+/PI−), Q4: viable cells (Annexin V−/PI−).
| %Hemolysis = [(ODTest − ODnegative) ÷ (ODpositive − ODnegative)] × 100 |
Footnote |
| † Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4ra03728f |
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