Literature DB >> 24781056

Inhibitors of the glyoxylate cycle enzyme ICL1 in Candida albicans for potential use as antifungal agents.

Hong-Leong Cheah1, Vuanghao Lim2, Doblin Sandai1.   

Abstract

Candida albicans is an opportunistic pathogen that causes candidiasis in humans. In recent years, metabolic pathways in C. albicans have been explored as potential antifungal targets to treat candidiasis. The glyoxylate cycle, which enables C. albicans to survive in nutrient-limited host niches and its. Key enzymes (e.g., isocitrate lyase (ICL1), are particularly attractive antifungal targets for C. albicans. In this study, we used a new screening approach that better reflects the physiological environment that C. albicans cells experience during infection to identify potential inhibitors of ICL. Three compounds (caffeic acid (CAFF), rosmarinic acid (ROS), and apigenin (API)) were found to have antifungal activity against C. albicans when tested under glucose-depleted conditions. We further confirmed the inhibitory potential of these compounds against ICL using the ICL enzyme assay. Lastly, we assessed the bioavailability and toxicity of these compounds using Lipinski's rule-of-five and ADMET analysis.

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Year:  2014        PMID: 24781056      PMCID: PMC4004578          DOI: 10.1371/journal.pone.0095951

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Candida albicans and other medically relevant Candida species are mainly common commensal yeasts that inhabit mucosal surfaces and the gastrointestinal and genitourinary tracts [1]. They are usually benign but can become infectious if an environmental niche becomes available or the host immune system becomes impaired [2]. C. albicans causes two types of infections: superficial infections, such as oral thrush and vaginal candidiasis, and potentially fatal systemic candidiasis [3]. Candidiasis is among the most common nosocomial systemic infections, with mortality rates as high as 50% [1], [3], [4]. Several virulence attributes, including adhesins and invasins, polymorphism, phenotypic switching, extracellular hydrolytic enzymes, and biofilm formation, as well as fitness attributes such as metabolic flexibility, contribute to the pathogenicity of C. albicans [4], [5]. Choices of antifungal drugs to treat candidiasis are limited. Those that are in routine clinical use include the polyenes, azoles, and echinocandins [2]. Polyenes (e.g., amphotericin B) bind to ergosterol in the plasma membrane, azoles (e.g., fluconazole) inhibit ergosterol synthesis, and the echinocandins inhibit glucan synthesis [2], [6]. The search for novel antifungal drugs with no significant side effects on patients continues, and research has been focused mainly on specific cell components and pathways, such as cell wall and ergosterol synthesis. However, in recent years metabolic pathways have been explored as potential antifungal targets, as they contribute to the metabolic flexibility that allows cells to survive in nutrient-limited host niches during infection [4]. Metabolic flexibility is particularly crucial for C. albicans and other pathogenic fungi for survival in nutrient-limited host niches as it contributes to effective assimilation of different carbon sources [7]. It was previously reported that metabolic flexibility of C. albicans not only contributes to adaptation and survival in host niches but also affects pathogenicity and virulence [4], [8]. Glycolysis, gluconeogenesis, and the glyoxylate cycle are all thought to contribute to survival of C. albicans during infection, but their specific mechanisms remain poorly understood. Among the metabolic pathways, the glyoxylate cycle has been studied the most. The glyoxylate cycle is a modified tricarboxylic acid (TCA) cycle that bypasses the CO2-generating steps to conserve carbons as substrates for gluconeogenesis, during which they are incorporated into new molecules of glucose [9], [10] (Figure 1). The key enzymes for this pathway, isocitrate lyase (ICL) and malate synthase, are highly conserved among bacteria, plants, fungi, and nematodes [10], [11]. In a glucose-depleted environment, the conservation of carbons is important for cell survival. The glyoxylate cycle enables C. albicans to survive and grow in the nutrient-limited environment inside phagocytic cells such as macrophages and neutrophils by utilizing alternative carbon sources such as lipids and amino acids [10], [12], [13]. It was previously reported that the glyoxylate cycle of C. albicans is activated when cells are engulfed by macrophages and neutrophils [14], [15], [16], [17]. In a study using ICL-deficient mutants in a mouse model, [14] found that this enzyme is essential for virulence.
Figure 1

TCA cycle (black arrows) and glyoxylate cycle (dashed arrows).

In both cycles, oxaloacetate serves as the precursor for gluconeogenesis, but the glyoxylate cycle bypasses the carbon dioxide generating steps of the TCA cycle via isocitrate lyase and malate synthase, thus conserving the carbons for gluconeogenesis. Adapted from Lorenz and Fink (2002) [9].

TCA cycle (black arrows) and glyoxylate cycle (dashed arrows).

In both cycles, oxaloacetate serves as the precursor for gluconeogenesis, but the glyoxylate cycle bypasses the carbon dioxide generating steps of the TCA cycle via isocitrate lyase and malate synthase, thus conserving the carbons for gluconeogenesis. Adapted from Lorenz and Fink (2002) [9]. Given that the glyoxylate cycle is essential for C. albicans to survive in host niches, key enzymes such as ICL are attractive potential drug targets. ICL has been explored as a potential drug target in other pathogenic fungi [18], Mycobacterium tuberculosis [19], [20], [21], and Burkholderia species [22], [23]. Importantly, no human ortholog of this pathway or its respective enzymes has been identified, which makes it a promising antifungal target to treat C. albicans infection. In this study, ICL of C. albicans was selected as the antifungal target for drug screening using a collection of selected plant reference compounds. Because ICL is essential when glucose is depleted, we sought to exploit this phenotype by screening the compounds for antifungal properties in a defined minimal medium (i.e., yeast nitrogen base (YNB) supplemented with lactate as the sole carbon source). Such an alternative screening approach can identify new compounds among existing compounds that have previously shown no antifungal property when screened in glucose-supplemented medium. We also studied the drug-likeness and potential toxicity effect of the potential ICL inhibitors using in silico analysis.

Materials and Methods

Candida albicans Strain and Media

Candida albicans ATCC10231 was obtained from laboratory culture stocks. The yeast was maintained in YPD (1% yeast extract, 2% peptone, 2% D-glucose) medium prior to use in the experiments. For the alternative screening approach, the yeast was cultivated in minimal defined medium (0.67% yeast nitrogen base) supplemented with 2% lactate or 2% D-glucose as the sole carbon source (abbreviated as YNBL and YNBG, respectively).

Antifungal Drug and Reference Compounds

The antifungal drug used as the control in this study, fluconazole (FLC), and the plant reference compounds, itaconic acid (ITC), quercetin (QCT), cinnamic acid (CINN), rutin (RT), caffeic acid (CAFF), gallic acid (GALL), apigenin (API), and rosmarinic acid (ROS) (Figure 2), were purchased from Sigma-Aldrich Co. (St. Louis, MO, USA). For the experiments, stock solution of FLC was prepared in sterile distilled water, whereas stock solutions of reference compounds were prepared in DMSO. All stock solutions were stored at −80°C until used.
Figure 2

Drugs and plant reference compounds used in this study with their PubChem IDs.

Alternative Screening Approach

The primary screening of the plant reference compounds at a final concentration of 1000 µg/mL was conducted in YNBL with C. albicans ATCC10231 in a 96-well plate format. For internal control purposes, each plate included wells with drug-free control, FLC treatment, and ITC (a known ICL inhibitor) treatment. The yeast was cultivated in each well at a final volume of 200 µL with final cell density of 0.5–2.5×105 cfu/mL. The plates were incubated at 35°C for 24 hours before being measured spectrophotometrically at 530 nm on Sunrise™ microplate absorbance reader (Tecan Group Ltd., Männedorf, Switzerland). Growth in each compound was calculated in percentage relative to the drug-free control included in each plate. All reference compounds were then subjected to secondary screening in YNBL, which was conducted in triplicate. Growth assessment in YNBG was also conducted during this secondary screening phase of the experiment. Any compounds confirmed as potential ICL inhibitors were further characterized for specific ICL-inhibition as described below.

ICL Enzyme Assay and Inhibition Studies

C. albicans was grown for 24 hours in YNBL to induce expression of ICL. The cells were harvested by centrifugation at 10,000×g for 3 minutes. Cell-free extract was prepared as described previously [24], with some modifications. Briefly, the harvested cells were washed once with pre-chilled lysis buffer (100 mM potassium phosphate buffer, pH 7.5; 2 mM MgCl2; 1 mM DTT) and centrifuged again to collect the cell pellet. The cell pellet was re-suspended with the same lysis buffer and sonicated together with 0.7-mm glass beads for 3 minutes (30 seconds of bursting with 30 seconds cooling intervals). The cell lysate was centrifuged at 20,000×g at 4°C for 20 minutes to obtain the cell-free supernatant that was directly used in the enzyme assay. The ICL enzyme assay was conducted in a 96-well plate formate and followed the protocol provided by Sigma-Aldrich Co., which was derived from [47], with some modifications. The 200 µL reaction volume consisted of 25 mM imidazole (pH 6.8), 5 mM MgCl2, 1 mM EDTA, 4 mM phenylhydrazine HCl, 1 mM DL-isocitric acid (substrate), and cell-free extract. The reaction was started right after the addition of substrate. Glyoxylate-phenylhydrazone formation was spectrophotometrically assessed at 324 nm using the Sunrise™ microplate absorbance reader after incubation at 30°C to determine the ICL activity in the reaction for the subsequent inhibition study. Similar reactions without substrate were prepared in parallel to serve as the blank. Potential ICL inhibitor (CAFF, ROS, and API) and all other plant reference compounds were further characterized for their inhibitory effects on ICL. The compounds were added to the reaction at final concentration of 50 µg/mL followed by incubation and measurement as previously described. A drug-free control was also prepared and the percent inhibition of ICL enzyme activity caused by each compound was calculated relative to the drug-free control.

Minimum Inhibitory Concentration (MIC) Analysis of Identified Lead Compounds

The potential ICL inhibitors were subjected to MIC determination using the broth microdilution method according to the protocol described by EUCAST Definitive Document EDef 7.1 [46], with some modifications. Briefly, cells were cultivated in 96-well plates at a density of 0.5–2.5×105 cfu/mL and separately treated at a gradient of concentrations from 64 to 0.125 mg/L (for fluconazole) and 1000–1.95 mg/L (for ITC and potential ICL inhibitors) in wells from column 1 to column 10, respectively. The drug-free control was included in the analysis for calculation of relative growth percentage. The cells in the 96-well plates were incubated and growth was measured as described previously. All MIC determinations were performed in triplicate. The MIC is defined as the lowest concentration that results in a growth reduction of ≥50% of that of the drug-free control.

in silico Analysis of Drug-likeness and ADMET Properties

The potential ICL inhibitors identified in the experiments described above were analyzed for their ability to follow Lipinski's rule-of-five [26] by uploading them to the Molinspiration server (http://www.molinspiration.com/cgi-bin/properties) for calculation of their molecular properties. The chemical structures of the main compounds also were submitted to the admetSAR server (http://www.admetexp.org/predict/) for in silico prediction of their absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties [25].

Results

The Alternative Screening Approach Identified Potential ICL Inhibitors

We utilized YNBL to screen for potential ICL inhibitors that reduce the growth of C. albicans. The cut off value was set at 40% growth reduction relative to the drug-free control. FLC and ITC were used as the positive controls. Primary screening yielded five potential compounds: QCT, CINN, CAFF, API, and ROS. Secondary screening, which included the assessment of growth in YNBG, further narrowed the list to three potential ICL inhibitors (CAFF, API, and ROS) that showed a lactate-specific pattern of growth reduction (Figure 3). Interestingly, RT from the secondary screening showed a glucose-specific pattern of growth reduction. These potential ICL inhibitors were further characterized for specific ICL-inhibition.
Figure 3

Alternative antifungal screening approach for C. albicans in YNB broth supplemented with glucose or lactate as the sole carbon source.

The chart represents the averaged growth percentage with error bars of representation standard deviation. ITC is the known ICL inhibitor that served as the positive control in this experiment: it reduced the growth of C. albicans only in the lactate-supplemented medium. CAFF, ROS, and API caused growth reduction similar to that ITC, and hence were selected as potential ICL inhibitors for further analysis. QCT and CINN showed growth reduction in both media, which indicates non-specific inhibition or different targets. RT was the only compound that showed a glucose-specific pattern of growth reduction.

Alternative antifungal screening approach for C. albicans in YNB broth supplemented with glucose or lactate as the sole carbon source.

The chart represents the averaged growth percentage with error bars of representation standard deviation. ITC is the known ICL inhibitor that served as the positive control in this experiment: it reduced the growth of C. albicans only in the lactate-supplemented medium. CAFF, ROS, and API caused growth reduction similar to that ITC, and hence were selected as potential ICL inhibitors for further analysis. QCT and CINN showed growth reduction in both media, which indicates non-specific inhibition or different targets. RT was the only compound that showed a glucose-specific pattern of growth reduction.

The ICL Enzyme Assay Confirmed the Potential ICL Inhibitors

Expression of ICL was induced in C. albicans to prepare cell-free extract for use in the ICL assay and inhibition studies. In the inhibition studies, the cutoff value was set at 40% inhibitory percentage, and ITC was included as the positive control. All of the known ICL inhibitor and potential inhibitors inhibited percentage values greater than 40% (ITC, 99.3%; CAFF, 91.5%; API, 99.8%; and ROS, 60.3%) in contrast to the non-lactate specific compounds (Figure 4).
Figure 4

Inhibitory percentage of tested compounds in the ICL enzyme inhibition assay.

The chart represents the averaged inhibitory percentage with error bars representing standard deviation. ITC is the known ICL inhibitor that served as the positive control in this experiment. CAFF, API, and ROS are the potential ICL inhibitors identified in the alternative screening experiment; they showed inhibition of ICL activity that was similar to that of ITC, with inhibitory percentage higher than 40% (in contrast to QCT, CINN, GALL, and RT).

Inhibitory percentage of tested compounds in the ICL enzyme inhibition assay.

The chart represents the averaged inhibitory percentage with error bars representing standard deviation. ITC is the known ICL inhibitor that served as the positive control in this experiment. CAFF, API, and ROS are the potential ICL inhibitors identified in the alternative screening experiment; they showed inhibition of ICL activity that was similar to that of ITC, with inhibitory percentage higher than 40% (in contrast to QCT, CINN, GALL, and RT).

MIC Determination

The MICs for the tested compounds were determined in YNBL using the broth microdilution method. For FLC the MIC analysis was performed in both YNBL and YNBG. The results are summarized in Table 1. The MIC for FLC in YNBL (32 mg/L) was significantly higher than that in YNBG (0.5 mg/L), which suggests that carbon sources affect the on susceptibility of C. albicans to antifungal drugs. The MICs for the potential ICL inhibitors were much higher the 125 mg/L for API, 250 mg/L for ITC, 1000 mg/L for CAFÉ, and 1000 mg/L for ROS.
Table 1

MIC determination of potential inhibitors of ICL1 in C. albicans in YNB medium.

Potential ICL inhibitors/drugsMIC (mg/L)
Fluconazole32; 0.5 (YNBG)
Itaconic acid250
Caffeic acid1000
Rosmarinic acid1000
Apigenin125

in silico Analysis of Drug-likeness and ADMET Properties of Potential ICL Inhibitors

The molecular structures of FLC, ITC, CAFF, ROS, and API were submitted to the Molinspiration and admetSAR servers to determine their drug-likenesses and ADMET properties. All of the tested compounds were roughly compliant with Lipinski's rule-of-five [26] without any violation with respect to lipophilicity (miLogP), molecular weight, number of hydrogen bond donors, and number of hydrogen bond acceptors (Table 2). The bioavailability and toxicity assessments of the compounds were conducted based on their ADMET properties (Table 3). FLC, ITC, CAFF, and ROS had no significant ADMET properties that would cause adverse effects in humans, whereas API was predicted to be a potential inhibitor of CYP 1A2, 2C9, 2C19, and 3A4, with high CYP inhibitory promiscuity. None of the submitted compounds were identified as potential inhibitors of the human ether-a-go-go-related gene (HERG) or were positive for AMES toxicity or carcinogenicity.
Table 2

Lipinski's rule-of-five drug-likeness properties of potential ICL inhibitors.

CompoundFLCITCCAFFROSAPI
Mi LogP −0.118−0.3430.9411.6262.463
TPSA 81.66474.59877.755144.51690.895
n atoms 229132620
MW 306.276130.099180.159360.318270.24
n ON 74485
n OHNH 12353
n violations 00000
n rotb 53271
MV 248.957111.171154.497303.539224.049

Abbreviations: Mi LogP (hydrophobicity measurement: octanol/water partition coefficient); TPSA (topological polar surface area); n atoms (number of atoms); MW (molecular weight); n ON (hydrogen bond acceptor); n OHNH (number of hydrogen bond donor); n violations (number of Lipinski's rule-of-five violations); n rotb (number of rotatable bonds); MV (molecular volume).

High bioavailability are more probable for a compound when there are ≤5 hydrogen bond donors, ≤10 hydrogen bond acceptors, molecular weight ≤500, and Mi LogP ≤5; violation more than one of these rules may have problem with bioavailability [26].

Table 3

ADMET properties of potential ICL inhibitors.

ADMETFLCITCCAFFAPIROS
BBB ++-++
HIA +++++
Caco-2 +-++-
Aqueous solubility – 1.8626–0.7363–1.6939–2.7765–3.2050
P-gp
Substrate----+
Inhibitor-----
CYP450 substrate
CYP450 2C9-----
CYP450 2D6-----
CYP450 3A4-----
CYP450 inhibitor
CYP450 1A2---+-
CYP450 2C9---+-
CYP450 2C19 + --+-
CYP450 2D6-----
CYP450 3A4---+-
CYP IP lowlowlowlowlow
ROCT -----
HERG inhibition
HERG-Iweakweakweakweakweak
HERG-II-----
AMES toxicity -----
Carcinogen -----
RAT, LD50 mol/kg 2.41362.45251.40412.69832.3234
FT, pLC50 mg/L high, 1.4529high, 0.8180high, 0.7921high, 0.8038high, –0.1231
TPT, pIGL50 µg/L high, 0.5995low, −0.5487high, −0.2480high, 0.3341high, 0.8320

Abbreviations: BBB (blood-brain barrier); HIA (human intestinal absorption); Caco-2 (Caco-2 permeability); P-gp (P-glycoprotein); ROCT (renal organic cation transporter); CYP450 (cytochrome P450); CYP IP (CYP inhibitory promiscuity); HERG (human ether-a-go-go-related genes); RAT (rat acute toxicity); FT (fish toxicity); TPT (Tetrahymena pyriformis toxicity).

BBB, HIA, Caco-2, and aqueous solubility indicate the bioavailability of the drug in terms of absorption into the human body; P-gp, CYP450, and CYP IP indicate the metabolism, clearance, and risk of drug-drug interaction with the co-administered drug; ROCT indicates the renal excretion of the drug; HERG indicates the risk of cardiotoxicity caused by the drug; AMES toxicity indicates the risk of carcinogenicity and genotoxicity caused by the drug; RAT, LD50 is the lethal dosage of drug when tested on mice; FT and TPT are the environmental risk assessments of the drug based on fish and Tetrahymena pyriformis as environmental indicators, respectively.

Abbreviations: Mi LogP (hydrophobicity measurement: octanol/water partition coefficient); TPSA (topological polar surface area); n atoms (number of atoms); MW (molecular weight); n ON (hydrogen bond acceptor); n OHNH (number of hydrogen bond donor); n violations (number of Lipinski's rule-of-five violations); n rotb (number of rotatable bonds); MV (molecular volume). High bioavailability are more probable for a compound when there are ≤5 hydrogen bond donors, ≤10 hydrogen bond acceptors, molecular weight ≤500, and Mi LogP ≤5; violation more than one of these rules may have problem with bioavailability [26]. Abbreviations: BBB (blood-brain barrier); HIA (human intestinal absorption); Caco-2 (Caco-2 permeability); P-gp (P-glycoprotein); ROCT (renal organic cation transporter); CYP450 (cytochrome P450); CYP IP (CYP inhibitory promiscuity); HERG (human ether-a-go-go-related genes); RAT (rat acute toxicity); FT (fish toxicity); TPT (Tetrahymena pyriformis toxicity). BBB, HIA, Caco-2, and aqueous solubility indicate the bioavailability of the drug in terms of absorption into the human body; P-gp, CYP450, and CYP IP indicate the metabolism, clearance, and risk of drug-drug interaction with the co-administered drug; ROCT indicates the renal excretion of the drug; HERG indicates the risk of cardiotoxicity caused by the drug; AMES toxicity indicates the risk of carcinogenicity and genotoxicity caused by the drug; RAT, LD50 is the lethal dosage of drug when tested on mice; FT and TPT are the environmental risk assessments of the drug based on fish and Tetrahymena pyriformis as environmental indicators, respectively.

Discussion

ICL is one of the key enzymes of the glyoxylate cycle, which enables C. albicans to survive in a wide variety of glucose-depleted niches and establish candidiasis [10], [12], [13], [14]. Recently, ICL was found to be essential for virulence of several other pathogens, and it has been explored as a potential drug target in some of them [18], [19], [20], [21], [22]. Furthermore, because there is no known human ortholog of this enzyme, it an attractive antifungal target for drug discovery to treat candidiasis with minimal adverse side effects and toxicity. In this study, we screened and identified potential ICL inhibitors from a collection of selected plant reference compounds (Figure 2) as potential antifungal drugs to treat candidiasis. These selected plant reference compounds are phenolic or polyphenolic compounds (flavonoids), which are among the main secondary metabolites in plants, and an integral part of the human diet [27]. Screening of these plant-derived phenolic and polyphenolic compounds for antifungal drugs is more promising approach as they known to have antioxidant, anti-inflammatory, and antimicrobial properties [28], [29]. Traditional antifungal screening methods mostly utilize a medium supplemented with glucose as the carbon source [30], [31], [45], [46]. However, this approach may not be relevant to the host niches and therefore might undervalue the potential of certain target-specific compounds. Considering the importance of the target enzyme for C. albicans (ICL1), we utilized a minimal defined medium (YNB) supplemented with lactate in place of glucose to mimic the environment that C. albicans encounters in host niches. We used lactate as an alternative carbon source because of its physiological relevance. Lactate is found in ingested foods and is generated by bacteria in the gastrointestinal and urogenital tracts [32]. Lactate is also a component of solutions used in surgery or to treat burn injuries (e.g., lactated Ringer's solutions and Hartmann's solution) [1]. Moreover, the activation of lactate transporters in C. albicans cells upon being engulfed by macrophages also suggests that a high concentration of lactate is present in macrophages [16]. In this study, the alternative screening approach identified three potential ICL inhibitors (CAFF, ROS, and API), all of which showed a lactate-specific pattern of growth reduction. The secondary screening consisted of triplicate screening in both YNBL and YNBG; the latter was included to identify non-specific compounds that targeted cell activity not associated with the glyoxylate cycle, which were QCT and CINN in this study. The secondary screening also served to eliminate any non-specific, detergent-like compounds that caused growth reduction of C. albicans due to cell lysis or general toxicity rather than a defined mechanism of action. From this secondary screening, we identify three CAFF, ROS, and API as showing a lactate-specific pattern of growth inhibition. Interestingly, RT shows glucose-specific pattern of growth reduction in the secondary screening, which suggests that it might target the cellular pathway associated with glucose assimilation. To confirm that the growth reductions observed using the alternative screening approach were associated with specific inhibition of ICL, the compounds were screened for inhibition of ICL activity. The tested compounds inhibited inhibition percentages of more than 40%, with the greatest inhibition by API (99.8%), followed by ITC (99.3%), CAFF (91.5%), and ROS (60.3%). The inhibitory property of these compounds is not conclusive, as they might inhibit ICL activity in combination with other cellular components from the crude extract. However, because the regulation of ICL activity in yeast occurs at the posttranslational level [24], further purification of the ICL enzyme was not conducted because we wanted to prevent degradation or inactivation of the enzyme. These potential ICL inhibitors were also subjected to MIC determination for C. albicans in YNBL. The MIC was lowest for API (125 mg/L), followed by ITC (250 mg/L), CAFF (1000 /L), and ROS (1000 mg/L). Although the high MICs values especially for CAFF and ROS, suggest that growth inhibition might be due to the general toxicity effects of overdoses, the alternative screening results rule out by this possibility, (i.e., growth percentage higher than 80% for C. albicans treated with 1000 /L of CAFF, ROS, and API in YNBG) (Figure 3). Interestingly, the MIC of FLC in YNBL was higher than that in YNBG. This difference in MIC when cells were grown with different carbon sources was not surprising, as lactate-grown C. albicans cells were previously reported to exhibit increased resistance to certain antifungal drugs, probably because the carbon source strongly influences cell wall properties, virulence, and susceptibility to antifungal drugs [8]. In drug discovery, only a small proportion of promising compounds reach the market due to a high failure rate at the clinical trial stage, mostly due to toxicity, adverse side effects on recipients and poor ADMET properties [25]. Knowledge about ADMET properties is especially useful when conducting drug safety assessments and it can be very important for reducing the failure rate at the clinical stage [33]. ADMET properties can be assessed via experimentation, via in silico analysis [25], or as in this case, the toxicity profiles of the potential ICL inhibitors can be retrieved from previous reports because they have been studied as drugs for use in other medical situations. Experimental assessment of ADMET properties is expensive, labor intensive, and cannot meet the demands of high throughput drug screening. However, in silico techniques can predict ADMET properties based on the structure-activity relationship of a given compound [25]. In this study, we used this alternative approach by submitting the compound structures to the Molinspiration and admetSAR servers for in silico analysis. The Molinspiration server uses Lipinski's rule-of-five to analyze the drug-likeness of a given compound [26]. In this study, none of the tested compounds violated any of the rules (Table 2). Although Lipinski's rule-of-five is useful in early drug assessment, it is too simplistic and the ADMET properties of a drug administered into a recipient's body are important to know at later stages of assessment process. The analysis performed on the admetSAR server revealed that of the potential ICL inhibitors tested only API potentially would cause adverse side effects in recipients. API exhibits high CYP inhibitory promiscuity, as it inhibited most of the cytochrome P450 isoforms, including CYP450 1A2, 2C9, 2C19, and 3A4. The cytochrome P450 superfamily plays an important role in drug metabolism and clearance in the liver, and the most important isoforms are CYP1A2, CYP2A6, CYP2C9, CYP2C19, CYP2D6, CYP2E1, and CYP3A4 [34]. Thus, inhibition of cytochrome P450 isoforms might cause drug-drug interactions in which co-administered drugs (substrates for the inhibited P450 isoforms) fail to be metabolized and accumulate to toxic levels [35]. The analysis also showed ROS to be a substrate for P-glycoprotein, which effluxes drugs and various compounds so that they can be further metabolized for clearance [36]. If P-glycoprotein is induced, drugs in the medication would be transported out of the cells at a greater rate and could lead to therapeutic failure because the drug concentration would be lower than expected [36]. Therefore, dosage control and knowledge of co-administered drugs must be considered to reduce therapeutic failure. Although the ADMET analysis indicated that none of the potential ICL inhibitors exhibited any significant potential for toxicity to humans (Table 3), previously published toxicity profiles of CAFF and API suggest otherwise. API is a dietary flavonoid reported to have medicinal values for treating different diseases [37], but it was shown to cause oxidative stress-induced liver damage at higher doses in Swiss mice [38]. Another study demonstrated that API triggers apoptosis in red blood cells by stimulation of Ca2+ influx, ceramide formation, and ATP depletion in cells [39]. CAFF has been identified as an active antioxidant and inhibitor of carcinogenesis [40], but studies of CAFF toxicity have had mixed results. Some studies suggest that it inhibits carcinogenesis, whereas other experiments show carcinogenic effects in experimental mice [41]. ROS is a caffeic acid ester commonly found in plants that acts as a defense compound [42]. Previous studies demonstrated that ROS has a number of biological activities. ROS has been found to exert anti-oxidation and anti-inflammatory effects that may be useful in reducing cardiovascular diseases and in the treatment of acute lung injury, respectively [43], [44]. De Oliveira [44] reported that ROS could protect against ethanol-induced DNA damage in mice. However, studies of ROS toxicity are scarce in the literature.

Conclusions

This study was conducted to identify potential antifungal drugs effective against C. albicans by targeting the ICL enzyme of the glyoxylate cycle using an alternative screening approach in minimal defined medium supplemented with lactate as the single carbon source. We identified three potential ICL inhibitors (CAFF, API, and ROS) and explored them in further detail to better understand their activity against C. albicans and their potential to cause adverse side effects in recipients. While there is still much to be learned before these compounds can be considered viable drug candidates, this study indicates that new compounds can be identified from the existing collection of reference compounds and that new pathways can be specifically targeted via alternative target-based screening approaches.
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Journal:  Microbiology       Date:  2009-10-01       Impact factor: 2.777

10.  Host carbon sources modulate cell wall architecture, drug resistance and virulence in a fungal pathogen.

Authors:  Iuliana V Ene; Ashok K Adya; Silvia Wehmeier; Alexandra C Brand; Donna M MacCallum; Neil A R Gow; Alistair J P Brown
Journal:  Cell Microbiol       Date:  2012-06-05       Impact factor: 3.715

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  20 in total

Review 1.  The antifungal pipeline: a reality check.

Authors:  John R Perfect
Journal:  Nat Rev Drug Discov       Date:  2017-05-12       Impact factor: 84.694

2.  Identification of Alkaloid Compounds Arborinine and Graveoline from Ruta angustifolia (L.) Pers for their Antifungal Potential against Isocitrate lyase (ICL1) gene of Candida albicans.

Authors:  Laina Zarisa Mohd Kamal; Mowaffaq Adam Ahmed Adam; Siti Nurfatimah Mohd Shahpudin; Ahmad Naqeeb Shuib; Rosline Sandai; Norazian Mohd Hassan; Yasser Tabana; Dayang Fredalina Basri; Leslie Thian Lung Than; Doblin Sandai
Journal:  Mycopathologia       Date:  2021-02-07       Impact factor: 2.574

Review 3.  Potential Targets for Antifungal Drug Discovery Based on Growth and Virulence in Candida albicans.

Authors:  Xiuyun Li; Yinglong Hou; Longtao Yue; Shuyuan Liu; Juan Du; Shujuan Sun
Journal:  Antimicrob Agents Chemother       Date:  2015-07-20       Impact factor: 5.191

Review 4.  The Mechanistic Targets of Antifungal Agents: An Overview.

Authors:  Tryphon K Mazu; Barbara A Bricker; Hernan Flores-Rozas; Seth Y Ablordeppey
Journal:  Mini Rev Med Chem       Date:  2016       Impact factor: 3.862

Review 5.  Antifungal drug screening: thinking outside the box to identify novel antifungal scaffolds.

Authors:  Sarah R Beattie; Damian J Krysan
Journal:  Curr Opin Microbiol       Date:  2020-04-24       Impact factor: 7.934

6.  Omics for understanding synergistic action of validamycin A and Trichoderma asperellum GDFS1009 against maize sheath blight pathogen.

Authors:  Qiong Wu; Lida Zhang; Hai Xia; Chuanjin Yu; Kai Dou; Yaqian Li; Jie Chen
Journal:  Sci Rep       Date:  2017-01-06       Impact factor: 4.379

7.  Gene Expression Response of Trichophyton rubrum during Coculture on Keratinocytes Exposed to Antifungal Agents.

Authors:  Tatiana Takahasi Komoto; Tamires Aparecida Bitencourt; Gabriel Silva; Rene Oliveira Beleboni; Mozart Marins; Ana Lúcia Fachin
Journal:  Evid Based Complement Alternat Med       Date:  2015-07-14       Impact factor: 2.629

Review 8.  Potential Use of Phenolic Acids as Anti-Candida Agents: A Review.

Authors:  Guilherme R Teodoro; Kassapa Ellepola; Chaminda J Seneviratne; Cristiane Y Koga-Ito
Journal:  Front Microbiol       Date:  2015-12-21       Impact factor: 5.640

9.  Draft genome sequence of Janthinobacterium lividum strain MTR reveals its mechanism of capnophilic behavior.

Authors:  Natalia Valdes; Paola Soto; Luis Cottet; Paula Alarcon; Alex Gonzalez; Antonio Castillo; Gino Corsini; Mario Tello
Journal:  Stand Genomic Sci       Date:  2015-11-24

10.  The Rewiring of Ubiquitination Targets in a Pathogenic Yeast Promotes Metabolic Flexibility, Host Colonization and Virulence.

Authors:  Delma S Childers; Ingrida Raziunaite; Gabriela Mol Avelar; Joanna Mackie; Susan Budge; David Stead; Neil A R Gow; Megan D Lenardon; Elizabeth R Ballou; Donna M MacCallum; Alistair J P Brown
Journal:  PLoS Pathog       Date:  2016-04-13       Impact factor: 6.823

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