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Assay development and high-throughput screening for small molecule inhibitors of a Vibrio cholerae stress response pathway
Authors Stanbery L, Matson JS
Received 20 June 2017
Accepted for publication 28 August 2017
Published 19 September 2017 Volume 2017:11 Pages 2777—2785
DOI https://doi.org/10.2147/DDDT.S144391
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Jianbo Sun
Laura Stanbery, Jyl S Matson
Department of Medical Microbiology and Immunology, College of Medicine and Life Sciences, The University of Toledo, Toledo, OH, USA
Abstract: Antibiotics are important adjuncts to oral rehydration therapy in cholera disease management. However, due to the rapid emergence of resistance to the antibiotics used to treat cholera, therapeutic options are becoming limited. Therefore, there is a critical need to develop additional therapeutics to aid in the treatment of cholera. Previous studies showed that the extracytoplasmic stress response (σE) pathway of Vibrio cholerae is required for full virulence of the organism. The pathway is also required for bacterial growth in the presence of ethanol. Therefore, we exploited this ethanol sensitivity phenotype in order to develop a screen for inhibitors of the pathway, with the aim of also inhibiting virulence of the pathogen. Here we describe the optimization and implementation of our high-throughput screening strategy. From a primary screen of over 100,000 compounds, we have identified seven compounds that validated the growth phenotypes from the primary and counterscreens. These compounds have the potential to be developed into therapeutic agents for cholera and will also be valuable probes for uncovering basic molecular mechanisms of an important cause of diarrheal disease.
Keywords: Vibrio cholerae, stress response, σE, high-throughput screening
Introduction
RpoE, encoding σE, regulates a response referred to as the extracytoplasmic (or envelope) stress response in that it targets stresses that affect components of the Gram-negative cell envelope, including the periplasmic space and the outer membrane. σE is a member of the extracytoplasmic function family of alternative sigma factors, which control the expression of genes whose products function outside the bacterial cytoplasm.1,2 σE-regulated genes encode proteins that are involved in folding of proteins in the periplasm, proteases, other sigma factors, and lipopolysaccharide biogenesis and/or modification factors.3–6
σE has been most thoroughly studied in Escherichia coli, where it is an essential sigma factor.7 The activity of σE is negatively regulated when bacteria are not experiencing external stress. This is accomplished through the activity of RseA, a membrane-bound anti-sigma factor that binds σE and sequesters it in the inner membrane, rendering it unable to bind RNA polymerase and activate stress-inducible genes.8,9 In E. coli, the σE regulon is induced when misfolded outer membrane proteins (OMPs) accumulate in the periplasm (Figure 1; refer Urban10). A C-terminal motif of the unfolded OMPs binds to the PDZ domain of the protease DegS and induces a conformational change in the protein, which activates its protease activity.11 DegS cleaves within the RseA periplasmic domain, creating a substrate for a second protease, YaeL (RseP). YaeL then cleaves the transmembrane domain of RseA, releasing bound σE from the membrane.12,13 The cytoplasmic ClpXP proteases further degrade RseA, releasing σE.14,15 Unbound σE complexes with core RNA polymerase at σE-dependent promoters, thus activating the transcription of stress-inducible genes.16
σE plays a role in the survival of many bacterial pathogens within their hosts, making it an excellent target for potential therapeutics. For example, in Salmonella typhimurium, σE is required for protection against reactive oxygen species and antimicrobial peptides. Consequently, rpoE mutants are highly attenuated in a mouse model of infection.17,18 In Pseudomonas aeruginosa, the σE ortholog AlgU promotes resistance to killing by phagocytes. In addition, AlgU is responsible for conversion of cells to the mucoid phenotype, rendering them less efficiently cleared from the respiratory tract of infected mice than nonmucoid strains.19,20 In nontypeable Haemophilus influenzae-infected macrophages, rpoE is highly expressed and is required for intracellular survival.21 Mycobacterium tuberculosis rpoE mutants are defective in their ability to grow and survive inside macrophages.22 The σE pathway is also important in Actinobacillus pleuropneumoniae and uropathogenic E. coli infection models.23,24
σE is required for virulence in Vibrio cholerae, the causative agent of epidemic cholera. An rpoE mutant is highly attenuated in the infant mouse model of infection due to a defect in the ability to colonize the intestinal tract.25 rpoE is not required for the growth of V. cholerae at high temperatures, unlike E. coli and S. typhimurium. However, rpoE is required for the growth and survival of classical V. cholerae strains in Luria–Bertani media containing 3% ethanol.25 It is this phenotype that we targeted in developing a small molecule screen for inhibitors of the σE pathway.
Here we describe the optimization and implementation of a high-throughput screen (HTS) designed to identify inhibitors of the σE pathway. We performed the primary screen on over 100,000 small molecules, followed by counterscreening, dose–response analysis, and medicinal chemistry. We ultimately identified seven compounds that validated our initial studies. These compounds are of high interest for therapeutic development because they have the potential to inhibit this stress response and virulence in V. cholerae and may also target similar responses in other important bacterial pathogens. By targeting mechanisms that inhibit virulence and decrease fitness of these bacteria in vivo, such treatment strategies would be advantageous as they allow the host to clear an infection with reduced selective pressure for bacterial resistance than a traditional antibiotic.
Materials and methods
Bacterial strains and culture conditions
V. cholerae classical strain O395 was used throughout this study. The rpoE, yaeL, and degS deletion strains used in this study were previously described.26 Strains were maintained at −80°C in Luria-Bertani (LB) broth containing 20% glycerol. Overnight cultures were grown in LB medium at 37°C with shaking.
High-throughput screening
For the HTS assay, 30 μL of LB +3% ethanol was added to each well using a Multidrop™ plate dispenser (Thermo Labsystems, Beverly, MA, USA) followed by the addition of compounds by using a Biomek™ FX Liquid Handler (Beckman®, Indianapolis, IN, USA). Ten microliters of classical V. cholerae strain O395 (in LB +3% ethanol) was then added to the sample wells by the Multidrop plate dispenser to achieve a final OD600 of ~0.01. The bacteria were added subsequent to compound addition to prevent the contamination of the liquid handler. All plates contained two columns (32 wells) of each control. The positive control for this assay was the rpoE deletion strain, and the negative control was the wild-type strain grown without added compound. Dimethylsulfoxide (DMSO) vehicle was added to all control wells. After 7 hours of static incubation at 37°C, the final OD600 was read on a PHERAstar® multimode plate reader (BMG Labtech, Worcester, MA, USA).
Chemical inhibitors
Fresh powders of 60 high priority compounds were purchased from ChemDiv (San Diego, CA, USA). Compound stock solutions were made at 20 mM in deuterated DMSO and stored in the dark at −20°C. Cultures were treated with 10 μM compound unless otherwise specified, as this was the concentration of compound used in the primary screen.
Low-throughput screening
Low-throughput screening of the 60 candidate compounds was performed in a volume of 1 mL of culture. Overnight cultures were diluted 1:100 into LB medium with and without ethanol. Compounds were initially added to cultures at the highest concentration (20 μM) and then serially diluted by half to the lowest concentration tested (2.5 μM) while keeping the DMSO concentration constant. Three 1 mL replicates of the cultures containing different concentrations of compounds (ie, 20 μM, 10 μM, 5 μM, and 2.5 μM) were grown for 7 hours with shaking at 37°C. Control (untreated) cultures received an equal volume of DMSO. Following growth, 100 μL samples of each culture replicate were placed in a 96-well plate, and the final OD600 was determined by using a CLARIOstar® plate reader (BMG Labtech).
Results
Rationale for screening strategy
Our screen for small molecule inhibitors of σE function was relatively straightforward in design: We exploited the ethanol sensitivity phenotype of σE-mutant V. cholerae and assayed for compounds that inhibited the growth of a wild-type classical V. cholerae strain (O395) in the presence of 3% ethanol. Our findings and those of others demonstrated this phenotype for an rpoE mutant (Figure 2; refer Kovacikova and Skorupski25). In addition, we demonstrated that mutations in the two proteases that cleave the anti-sigma factor RseA (DegS and YaeL) also showed this phenotype, likely due to constitutive sequestration of σE at the bacterial membrane in their absence (Figure 2; Matson and DiRita26). Importantly, no other pathways that contribute to ethanol sensitivity/resistance have been identified in V. cholerae. Thus, our hypothesis was that small molecules that inhibited σE activity would cause the ethanol sensitivity phenotype. Inhibition of activity could happen at several steps in this pathway, including by interfering with the σE–RNA polymerase interaction or by causing σE to be constitutively sequestered at the membrane (by inhibiting protease activity/efficiency). We reasoned that any of these steps might be inhibited by a set of compounds, resulting in numerous targets/compound combinations that could produce the desired outcome. Therefore, we aimed to develop and optimize an HTS to identify small molecules that inhibit the growth of wild-type V. cholerae in the presence of 3% ethanol.
Miniaturization of the assay for screening in 384-well plates
For a screen to be considered “high-throughput,” it should be optimized for the smaller-scale formats used for such assays, typically using 384- or 1,536-well microtiter plates. Since we consistently observed the growth of the wild-type strain and lack of growth for the rpoE deletion strain in 96-well plates, we did not anticipate the need for dramatic changes in the miniaturization process. For the 96-well plates, 100 μL cultures of the wild type and rpoE deletion strains were assayed for growth, which was scaled down to 40 μL cultures in the 384-well format. We initially tested the growth phenotypes of the two strains in 384-well plates in the presence of 3% ethanol and read the OD600 of the cultures after either 7 hours or overnight growth at 37°C. The plates were incubated without shaking, in contrast to previous assays, as that would be optimal for subsequent HTS. Although the final OD600 of the wild-type cells was lower in this smaller format, there was still a clear difference between the wild-type strain, which grew to an OD600 of ~0.18 at 7 hours, and the rpoE mutant, which remained at the level of detection (~0.05). After overnight growth, there was no longer a significant difference in OD600 between strains. Therefore, we proceeded with the optimization of the assay at the 7-hour time point.
A key parameter for determining whether an assay is robust enough to use in a large-scale screen is the Z’ factor.27 This statistical parameter is calculated to evaluate the effectiveness of an assay used for HTS. An assay with a very large dynamic range (difference in average signal between the positive and negative controls) and a very small SD has a Z’ factor approaching the theoretically perfect value of 1. An assay with a Z’ factor between 0.5 and 1 is considered an excellent assay; therefore, we sought to optimize our assay to fall within this range before proceeding to screening compounds. After several preliminary experiments, through which we determined that sealing the plates in plastic is necessary to prevent the evaporation of media in wells near the edges of the plates, we obtained a reliable Z’ factor >0.7 for this assay (Figure 3). Therefore, we concluded that the assay was robust enough in the 384-well format to proceed with a small-scale pilot screen.
Pilot screen
A screen of the 2,000 compounds of Spectrum Library and the 446 compounds of National Institutes of Health (NIH) clinical collection was carried out at the Center for Chemical Genomics (CCG) in the Life Sciences Institute at the University of Michigan. The Spectrum Collection from MicroSource Discovery Systems, Inc. consists of 70 compounds (3.5%) approved for and restricted to agricultural use, 343 compounds (17.15%) with reported biological activities at the experimental level, 629 natural products and derivatives (31.45%) with undetermined biological activities, and 958 known drugs (47.9%) that have been used in human therapy. The NIH clinical collection consists of 446 compounds that have a history of use in human clinical trials. This screen was accomplished in the 384-well format as described in the “Materials and methods” section. The assay performed well in this pilot assay (Z’=0.76, signal/noise =3, coefficient of variation [%] =8.3 [negative control]) as illustrated in Figure 4. Based on the commonly used cutoff of three standard deviations from the mean (Figure 4, red line), ~41 compounds (1.7%) answered our pilot screen and would be considered “actives.” Due to the success of this pilot assay, we concluded that the screen was suitable for proceeding with HTS of a larger library.
Large-scale HTS for candidate σE inhibitors
The optimized primary screen was used to test an additional 99,680 diverse compounds from the ChemDiv 100K collection at the CCG screening facility. This brought the total number of compounds screened to 102,126 including those from the pilot screen. Compounds were used at a concentration of 10 μM for primary screening. Compounds were initially assessed for their ability to inhibit growth in the presence of 3% ethanol, similar to the rpoE mutant (the positive control for this screen). After primary screening, we removed all compounds showing ≥45% of the positive control value (Figure 5). The remaining compounds were confirmed by repeating the assay in triplicate. Any compounds that did not inhibit growth to this cutoff in three of the four repetitions were excluded from further study. At this stage, we also tested the effect of these compounds on V. cholerae growth in the absence of ethanol to exclude those that generally inhibited bacterial growth, such as antibiotics. This counterscreen was included to increase the likelihood that we would identify compounds that targeted the σE pathway and were not nonspecific inhibitors of V. cholerae replication. Compounds that inhibited growth in the absence of ethanol (>50%) were removed from further study.
Compounds remaining in the pool at this stage were subsequently tested for their dose–response characteristics. Assays were carried out using a range of concentrations of compound from 1 to 100 μM to determine the concentration required to inhibit the assay to 50% of its maximum value (IC50). Compounds that did not exhibit a good relationship between the concentration and the level of inhibition were excluded from further study. The remaining compounds were then prioritized for further study by a medicinal chemist based on potency, potential for toxicity/reactivity, and so on. By applying medicinal chemistry analysis, the compounds were categorized into high, medium, and low priority groups for further study. The next step was to establish confidence in the activity of any compounds we were interested in pursuing further. To that end, we purchased 60 of the highest priority compounds from ChemDiv in order to confirm the activity observed in the primary assay using fresh powders.
Compound validation
The purchased compounds were retested for growth inhibition in the presence of ethanol in a low-throughput format. Seven of the 60 compounds demonstrated reduced growth (≤50% of untreated cultures at 10 μM), validating our previous studies (Figure 6). In addition, all compounds were tested for growth inhibition in the absence of ethanol, as was previously performed as a counterscreen. None of these seven compounds significantly reduced growth at a concentration of 10 μM, although some showed toxicity at higher concentrations (Figure S1). We consider these seven compounds to be our lead compounds for mechanistic studies and potential therapeutic development. The structures of the seven compounds do not appear to be closely related, which may indicate that different steps in the σE pathway are targeted by different compounds or that some of the compounds targeted an unidentified pathway that results in the same growth phenotype. Future studies aim to characterize the mechanism of action of each of the lead compounds and to determine their ability to reduce V. cholerae virulence in vivo.
Discussion
In spite of the use of oral rehydration therapy (ORT), antibiotics, and recently developed vaccines, cholera remains a significant cause of morbidity and mortality in many parts of the world.28 ORT is the first line of treatment, replacing the fluids lost by the patient and allowing the infection to run its course.29 ORT is occasionally supplemented by antibiotic treatment, which reduces the symptoms/duration of disease and limits spread to contacts.30–32 However, as with most bacterial diseases, antibiotic resistance in V. cholerae is increasing rapidly. Therefore, we and others are actively pursuing alternative therapeutic options to improve the treatment of cholera infections.33–35
In this study, we used a cell-based, HTS to target a conserved Gram-negative stress response pathway. Although we ultimately identified seven compounds that validated the expected phenotype after purchase and reexamination, most of the purchased compounds did not behave as would be expected. Upon testing the newly purchased compounds, we identified those that did not show any growth inhibition in the presence of ethanol, those that showed significant growth inhibition (toxicity) in the absence of ethanol, and those that inhibited growth in the presence of ethanol, but not at a significant level that would make them candidates for further study. This lack of reproducibility is likely due to the gradual degradation of some compounds in the original screening library. The originally observed phenotypes may have been due to a breakdown product and not the original small molecule. This is why it is critical to validate any phenotypes of interest using freshly purchased compounds.
The strategy of inhibiting a well-characterized stress response mechanism is advantageous for several reasons. Targeting such a pathway is ideal as it does not inhibit virulence per se, but alters a pathway in such a way that treatment with these compounds would decrease the fitness of the organism in the host. Inhibition of bacterial fitness is one of many strategies that are currently being explored in response to increasing antibiotic resistance in bacterial pathogens.36 When fitness of a pathogen is decreased in the human host, spread or growth of the organism may be limited, allowing the host microbiota to outcompete the pathogen. In addition, when a therapeutic agent is used that does not kill the pathogen, it is less likely to select for resistance as the selection pressure is less intense. Identification of fitness factors in V. cholerae and a range of other bacterial pathogens is underway, due to their potential for therapeutic development.37–39
An additional benefit of targeting this specific pathway is the fact that σE plays a role in the survival of many other important bacterial pathogens within their hosts. Therefore, it is expected that inhibitors of this conserved pathway could be developed into treatments for other bacterial infections. In addition to the therapeutic potential of such compounds, small molecules have significant value as molecular probes for studying the basic biology of bacterial pathogens. Because these compounds do not inhibit growth or kill the bacteria in the absence of ethanol, they can be used experimentally to study this stress response pathway without genetically altering the pathogen. Due to the conserved nature of this pathway, such probes may be of particular use for studying the σE pathway in bacteria where some of these stress response genes are essential for growth and survival.
Conclusion
We have designed and successfully carried out a novel HTS targeting a stress response pathway that plays a role in the virulence of V. cholerae. In addition, we provide confirmatory and counterassays, allowing us to ultimately identify seven lead compounds that are of significant interest for future therapeutic development. Current work focuses on better characterizing the mechanism of action of each of the seven lead compounds, ie, validating that the σE pathway is the target of each compound and subsequently determining what step in the σE pathway is impacted. Our future goals are to test lead compounds for their toxicity in cultured human cells and then to test any nontoxic compounds for their ability to reduce colonization in an animal model of V. cholerae infection.
Acknowledgments
We would like to thank the CCG in the University of Michigan – specifically Martha Larsen, Steve Vander Roest, and Hollis Showalter – for assistance with the small molecule screening. The authors would also like to thank Victor DiRita for helpful discussions and critical reading of the manuscript. Funding for these studies was provided by the Michigan Institute for Clinical and Health Research Pilot Grant Program Seed Grant 2UL1TR000433 from the University of Michigan and NICHD HD075928 from the NIH.
Disclosure
The authors report no conflicts of interest in this work.
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Supplementary material
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