We have developed a modular high-throughput screening system for discovering novel compounds against Mycobacterium tuberculosis, targeting intracellular and in-broth growing bacteria as well as cytotoxicity against the mammalian host cell.
Mycobacterium tuberculosis, the causative agent of tuberculosis (TB), is a leading cause of morbidity and mortality worldwide. With the increased spread of multi drug-resistant TB (MDR-TB), there is a real urgency to develop new therapeutic strategies against M. tuberculosis infections. Traditionally, compounds are evaluated based on their antibacterial activity under in vitro growth conditions in broth; however, results are often misleading for intracellular pathogens like M. tuberculosis since in-broth phenotypic screening conditions are significantly different from the actual disease conditions within the human body. Screening for inhibitors that work inside macrophages has been traditionally difficult due to the complexity, variability in infection, and slow replication rate of M. tuberculosis. In this study, we report a new approach to rapidly assess the effectiveness of compounds on the viability of M. tuberculosis in a macrophage infection model. Using a combination of a cytotoxicity assay and an in-broth M. tuberculosis viability assay, we were able to create a screening system that generates a comprehensive analysis of compounds of interest. This system is capable of producing quantitative data at a low cost that is within reach of most labs and yet is highly scalable to fit large industrial settings.
Mycobacterium tuberculosis, the causative agent of tuberculosis (TB), is a leading cause of morbidity and mortality worldwide. Drug-sensitive TB is a treatable disease that requires multiple antibiotics for a period of 6 months. Despite being a treatable disease, TB mortality was estimated to be 1.5 million in 20151. In the past 10 years, there have been increasing concerns over the prevalence of drug-resistant M. tuberculosis. Multidrug-resistant TB (MDR-TB) is defined as TB that is resistant to at least Isoniazid (INH) and Rifampicin (RMP), and most MDR-TB strains are also resistant to select second-line TB drugs, thus limiting treatment options. The effects of drug resistance create a greater challenge for treating patients co-infected with Human Immunodeficiency Virus (HIV); 400,000 patients worldwide died of HIV-associated TB in 20151. Disappointingly, the United States Food and Drug Administration has approved only one new TB drug against MDR-TB, bedaquiline, in the past 40 years2. Advances in finding better and shorter TB therapies are urgently needed in order to stay ahead in the fight against TB and MDR-TB.
Traditionally, TB drug screens are performed under in vitro growth conditions in growth medium, whereby compounds are added to a growing culture and their effectiveness in eradicating the microorganisms are determined by counting colony forming units (CFU) on solid medium. As CFU counts are labor intensive, time consuming, and costly, various indirect methods have been developed to alleviate this problem. Such methods include the Alamar Blue viability assay3, the determination of fluorescence4 from green fluorescent protein (GFP) or luminescence5 from luciferase-expressing bacteria, and the estimation of total adenosine triphosphate (ATP)6,7.
Typical TB is characterized by an M. tuberculosis infection of the lung, where the bacteria reside and replicate inside the phagosomes of alveolar macrophages8. The simple in-broth phenotypic screen may suit extracellular pathogens; however, in the historical perspective, hit compounds against M. tuberculosis identified using this method often fail to live up to expectations during downstream validation steps in infection models. We propose that TB drug is best performed in an intracellular host cell infection model. Nevertheless, intracellular models possess many technological and biological barriers to high-throughput screening (HTS) development. A big hurdle is the complexity of the infection process, exemplified by numerous steps and the elaborate removal of extracellular bacteria by in-between washing. A second major hurdle is the lengthy time requirements, as growth detection, normally done by CFU counting on culture plates, is a process that takes over 3 weeks to complete. One solution to replace CFU counts has been provided by automated fluorescent microscopy in combination with fluorescent bacteria. However, this solution requires an initial equipment investment that is out of reach for many research labs. A simple, low-cost, and disease-relevant HTS method would greatly enhance the drug discovery process.
In this study, we report a new, modular HTS system that is aimed at providing a rapid, and highly scalable, yet economical, assay suitable for determining the activity of compounds against intracellular M. tuberculosis. This system is composed of three modules: (i) intracellular, (ii) cytotoxicity, and (iii) in-broth assays. The combined final result provides a comprehensive description of the compound properties, with additional information as to the potential mode of action. This screening system has been used in several projects with various compound libraries that target mode of action, including the analysis of drug synergy9, the stimulation of autophagy10, and the inhibition of M. tuberculosis-secreted virulence factor (unpublished). Compounds of unknown mode of action have also been studied11. A modified version of this method was also adopted by our industrial partner as the primary screening method to identify new compounds against intracellular M. tuberculosis11.
1. Bacterial Strain and Growth Medium
2. THP-1 Medium and Maintenance
3. High-throughput Intracellular Screening Using Luciferase-expressing M. tuberculosis H37Rv
4. Cytotoxicity Analysis Using a 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium Bromide (MTT) Assay14
5. In-broth Activity Analysis Using a Resazurin Assay3
High-throughput intracellular screening using M. tuberculosis expressing the luciferase gene
Figure 2A and Table 1 contain the raw data collected by the luminometer, expressed in relative luminescent units (RLU), showing the effect of an increasing concentration of the TB drug rifampicin on M. tuberculosis inside THP-1 cells. Figure 2A is a scatter plot of the raw luminescence measured in RLU for various concentrations of rifampicin. The error bars indicate the standard error of the mean (SEM). Figure 2B shows the percent reduction in luminescence in treated wells compared to the untreated wells. The data shows that rifampicin is capable of reducing > 99.9% of RLU from intracellular M. tuberculosis at a concentration of 0.1 µg/mL. This is in accordance with the previously published MIC between 0.1 and 0.4 µg/mL16. Luminescence produced in each well is an indication of the total luciferase expressed by M. tuberculosis and thus is an indicator of the metabolic status of M. tuberculosis inside the well. It is normal for raw luminescent levels to vary between experiments. As such, a comparison of raw data would generate unreliable conclusions. Thus, the data should be normalized against a defined negative control, which would be the samples treated with DMSO only. The resulting values can be expressed as the percent reduction in M. tuberculosis in the wells (Figure 2B).
Cytotoxicity analysis using the MTT assay
The MTT assay is a well-established assay for eukaryotic cytotoxicity. This colorimetric assay indicates live cells through the conversion of MTT (yellow) to purple-colored formazan. This assay is performed without an M. tuberculosis infection because the bacteria are capable of metabolizing MTT, which reduces the observed toxicity of the compounds. A common suggestion for the MTT assay is to use media without the pH indicator phenol red due to the absorption at 570 nm17. However, the acidified extraction buffer described in this method is able to minimize interference caused by phenol red17.
Figure 3 illustrates the cytotoxicity caused by an increasing concentration of a test compound coded G1-1H. Normally, a 50% inhibitory concentration (IC50) is employed to indicate the level of cytotoxicity. In the case of G1-1H, concentrations of 10 µM and 3 µM are clearly below the IC50 concentration.
In-broth activity analysis using the resazurin assay
The resazurin assay is commonly used for the analysis of cytotoxicity in eukaryotic cells, but it can also be used to monitor live bacteria in broth3. The resazurin assay is a redox-based assay similar to the MTT assay. It measures NADPH levels and NADPH dehydrogenase activity through the conversion of resazurin into resorufin, a red fluorophore. The easiest and quickest way to determine drug efficacy is to look for the lowest treatment concentration where the wells remain blue in color. Figure 4 shows part of a 96-well plate showing the effects various concentrations of the antibiotic apramycin have on resazurin conversion by M. tuberculosis. The in-broth MIC was determined to be between 2.5 and 5 µg/mL. This is slightly higher than the previously published value of 1.5 µg/mL18, but it is still well within the acceptable range. In many cases, the color change is rather gradual, so it is difficult to make a confident determination. Under these conditions, it is better to quantify the actual amount of resazurin conversion using either absorbance or fluorescence. Due to the similar absorbance characteristics of resazurin and resorufin, MIC determination using absorbance requires measurements using two different wavelengths and complex calculations15. Therefore, the best method is to measure fluorescence using 530- to 560-nm excitation wavelengths and a 590-nm emission wavelength, as described in the manufacturer's literature15.
Figure 4 illustrates a potential source of inconsistency associated with multiday incubations that could drastically alter screening results. Due to improper humidifying of the 37 °C incubator used for this experiment, wells on the edges of the plates suffered significantly more evaporation. All 15 DMSO-treated wells are supposed to be identical, but the wells along the left and top edges had reduced volumes. These wells also appear to have different colors than the other DMSO-treated wells in the middle of the plate. The same inconsistency can also be observed in 2.5 µg/mL apramycin-treated wells. In this case, the reduced volume would also lead to a quantitative reading by a spectrophotometer and fluorometer. Evaporation becomes significant for all experiments with prolonged incubation times, so care must be taken to keep incubators well-humidified to avoid this source of inconsistency.
Figure 1: Method Schematics. Diagram depicting assay schematics for 3 separate modules of the high-throughput screening system. Please click here to view a larger version of this figure.
Figure 2: Representative Data from an Intracellular to Examine the Effectiveness of Rifampicin in Eliminating M. tuberculosis inside THP-1 Cells. (A) Graph of the mean luminescence reading (in relative luminescence units) for each treatment (rifampicin) concentration. The error bars denote the standard error of the mean for each triplicate. (B) Graph of the calculated percent reduction in luminescence caused by a treatment of rifampicin, where higher values indicate greater effectiveness. The 90% inhibitory concentration (IC90) in this case is somewhere between 0.01 and 0.1 µg/mL. Please click here to view a larger version of this figure.
Figure 3: Representative Data from a Cytotoxicity (MTT) Assay to Examine the Toxic Effects of Compound G1-1H on Differentiated THP-1 Cells. Graph of the calculated "percent of control" values for each concentration of the treatment compound G1-1H, where higher values indicate healthier THP-1 cells. The IC50 in this case is somewhere between 10 and 30 µM. Please click here to view a larger version of this figure.
Figure 4: Representative Data from a Resazurin Assay to Examine the Effectiveness of Apramycin at Inhibiting M. tuberculosis In-broth. Only qualitative data is collected in this case due to equipment limitations in the biosafety level 3 (BSL3) lab. The photo shows part of a 96-well plate containing M. tuberculosis treated with either DMSO or varying amounts of apramycin. The DMSO-treated wells exhibited a conversion of resazurin to resorufin, as indicated by the color conversion from blue to pink. The apramycin-treated samples clearly underwent the color conversion below 5 µg/mL. Please click here to view a larger version of this figure.
[Rifampicin] | Rep1 | Rep2 | Rep3 | Average | % Reduction |
4 µg/mL | 184 | 190 | 210 | 195 | 100 |
1 µg/mL | 244 | 215 | 159 | 206 | 100 |
0.1 µg/mL | 1037 | 731 | 976 | 915 | 98 |
0.01 µg/mL | 19200 | 24400 | 23919 | 22506 | 54 |
0 µg/mL | 39877 | 49655 | 57728 | 49087 | 0 |
Table 1: Raw data from the luciferase assay for the determination of the intracellular IC90 of rifampicin.
[G1-1H] | Rep 1 A570 | Rep 2 A570 | Rep 3 A570 | Average A570 | % of untreated |
30 µM | 0.056 | 0.056 | 0.055 | 0.056 | 7 |
10 µM | 0.518 | 0.488 | 0.492 | 0.499 | 62 |
3 µM | 0.652 | 0.638 | 0.656 | 0.649 | 80 |
0 µM | 0.822 | 0.782 | 0.815 | 0.806 | 100 |
Table 2: Raw Data from the MTT Assay for the Determination of the Cytotoxicity of Test Compound G1-1H at Different Concentrations.
The goal of this study was to create a simple and cost-effective HTS method using a human intracellular infection model for M. tuberculosis. Tuberculosis is a human disease characterized by the infection of alveolar macrophages by M. tuberculosis. Due to biosafety issues, research involving biological models of both the bacterium and the host cells has been used in the past. However, it has been shown that the usage of surrogate bacteria and non-human models are poor predictors of hit-to-lead success in drug development, indicating that drug screening is best done with human cells infected with M. tuberculosis19,20,21,22.
In this method, we have advanced and adapted current state-of-the-art screening protocols for the human macrophage-like THP-1 cell-line. In order to achieve high-throughput, we introduced several technical improvements to the infection protocol. First and foremost, we replaced all steps involved in CFU determination and substituted them with a luciferase-based reporter system. Firefly luciferase was chosen due to the simple end-point assay, the rapid degradation by host cell lysosome enzymes, and the minimal equipment requirements. This substitution effectively eliminated a 30-day incubation period, as well as the labor and consumables costs associated with plating and colony-counting steps.
A second major improvement we introduced was batch processing and infection, which further improves throughput and consistency between the wells with a simpler infection protocol. By combining the differentiation and infection steps into a single step, we were able to shorten the protocol by one day. At the same time, we were able to reduce the three rounds of washing that would normally occur between differentiation and infection, which is a source of possible THP-1 cell loss due to detachment.
This protocol was developed for screening inside the THP-1 cell line, which confers several advantages. THP-1, as an immortalized cell line, can be reliably cultured in vitro for over 20 passages23. This is especially important for large screening campaigns, where it can be challenging to maintain enough cells to supply a high-throughput setup. Additionally, testing in THP-1 provides a homogenous genetic background that minimizes variability in results. This is highly beneficial for testing compounds that influence host cell responses10. As an added bonus, gene expression in the THP-1 cell line can be down-regulated by small interfering RNAs (siRNAs)24. This provides a valuable tool for downstream investigations into the mode of action of hit compounds. Although this method was designed using THP-1 cell line, it can be easily adapted for human primary cells, such as peripheral blood mononuclear cells (PBMC), as was previously shown10.
To best mimic the actual interaction between alveolar macrophages and M. tuberculosis, the intracellular assay protocol includes a step to opsonize the bacteria. Opsonization with human serum coats M. tuberculosis and facilitates cell entry via complement receptor 3 (CR3)25. Naked bacteria are more likely to enter macrophages via the lectin receptor8. Given that the bronchoalveolar fluid is known to contain components of human serum25, opsonization, or the lack thereof, may have a fundamental impact on the screening outcome. However, some may choose to skip this step in order to further simplify the infection process16, or it may not be feasible to obtain enough human serum due to the size of the library being screened11.
The intracellular assay includes a step to remove all liquid containing unattached material from the wells prior to the addition of the luciferase reagent. This step is designed to increase the signal-to-noise ratio while reducing the amount reagent used per well. However, the inclusion of this step may generate false-positive data for compounds that kill THP-1 but not M. tuberculosis, since detached and lysed THP-1 and free-floating M. tuberculosis would be removed. Therefore, the manufacturer's suggested protocol of adding equal amounts of luciferase reagent (100 µL) to each well should be followed in order to assay for M. tuberculosis survival in wells containing cytotoxic compounds.
In contrast to the firefly luciferase system, the bacterial lux system does not require external reagents for signal generation26. However, the firefly system is preferred over the lux system for the following reasons: First, the bacterial system may be toxic in mycobacteria26. Second, a more complex reporter system (5 genes for lux versus 1 gene for firefly) is more susceptible to signal inhibition by test compounds. Lastly, commercially available reagents for the firefly luciferase assay provide the necessary conditions for optimal signal generation. On the other hand, the bacterial luciferase system relies on ATP production and the cofactors present inside the bacteria for signal generation. These can vary between different treatments and are not as easy to control. Therefore, the addition of the luciferase reagent to the firefly system standardizes the reaction conditions and provides more reliable measurements of luciferase activity across all treatments.
CFU determination has long be the gold standard for quantifying bacterial density. In contract, bioluminescence, like most reporters, is not a direct measure of bacteria. Instead, RLU is a function of both CFU and the metabolic state of the bacteria. Others have demonstrated the mostly linear relationship between RLU and CFU for bioluminescent mycobacteria under specific conditions5. In any case, a significant reduction in the luciferase assay signal, no matter the underlying cause-other than the actual inhibition of luciferase enzyme activity-would indicate a reduction of the M. tuberculosis fitness inside the host cell. Therefore, these compounds would be of interest from a drug screening standpoint and should not be excluded in method development.
An alternative to the luciferase-based intracellular screening protocol is the automated fluorescent microscopy-based approach11,27,28,29. The luciferase assay output is measured by a luminometer, and the data obtained is quantitative, whereas fluorescent microscopy generates images that are qualitative. However, through clever computer programming, images can be analyzed to generate quantitative data. Furthermore, fluorescent microscopy allows multiple fluorophores to be used concurrently, which is very helpful for gathering valuable parameters such as cell viability, cell counts, and actual rate of infection. As one might predict, these benefits come with some setbacks. The initial investment on automated fluorescent microscopy equipment is many times greater than the cost of a luminometer or fluorometer and is therefore out of reach for many research labs. For those who have access to the equipment, the sample processing must be considered prior to image acquisition and data analysis. Those two steps affect the overall time investment with increases in library size. The inclusion of additional fluorescent labels in host cells requires fixing, staining, and washing steps, thus necessitating additional user intervention and time investments. Furthermore, fluorescent microscopy data collection and analysis, although automated, still requires significantly more time and resources than the simple luciferase assay readout. Therefore, the luciferase reporter-based intracellular screening method is simpler and capable of higher throughput.
The luciferase-based intracellular screening method has one significant limitation compared to fluorescent microscope-based screening methods. This is due to the fact that the luciferase assay provides no data regarding the health status of host macrophages. Cytotoxic compounds would cause the death of macrophages, and thus live bacteria may be released into the medium and would no longer contribute to the final luciferase assay signal. As a result, cytotoxic compounds would appear to cause the death of intracellular M. tuberculosis and thus generate a great number of false positives. To address this issue, we have complemented our method with an MTT assay to assess the cytotoxicity of compounds on host macrophages. This module of the screening method gives us additional information about the drugability of compounds of interest and allows the early elimination of less-than-ideal drug candidates.
Alternatively, one may also use the luciferase-based intracellular assay prior to performing automated fluorescent microscopy. In screens of large compound libraries, this allows for the quick and efficient assessment of compound effectiveness in the macrophage infection model. As a result, automated fluorescent microscopy can be reserved for detailed studies on better candidates, as illustrated by a previously published study11.
The low cost and simple nature of the luciferase-based intracellular assay also greatly benefits researchers who wish to test smaller chemical libraries. Overall, the luciferase-based intracellular assay has proven to be an extremely flexible tool for research labs of all calibers and for screening projects of various sizes.
The authors have nothing to disclose.
This work was supported by BC Lung Association and Mitacs.
RPMI 1640 | Sigma-Aldrich | R5886 | |
L-glutamine | Sigma-Aldrich | G7513 | |
Fetal bovine serum (FBS) | Thermo Fisher Scientific | 12483020 | |
Middlebrook 7H9 | Becton, Dickinson and Company | 271210 | |
Tween80 | Fisher Scientific | T164 | |
Albumin, Bovine pH7 | Affymetrix | 10857 | |
Dextrose | Fisher Scientific | BP350 | |
Sodium Chloride | Fisher Scientific | BP358 | |
kanamycin sulfate | Fisher Scientific | BP906 | |
PMA | Sigma-Aldrich | P8139 | |
MTT | Sigma-Aldrich | M2128 | |
N,N-Dimethylformamide (DMF) | Fisher Scientific | D131 | |
1M Hydrocholoric acid (HCl) | Fisher Scientific | 351279212 | |
Acetic acid | Fisher Scientific | 351269 | |
SDS | Fisher Scientific | BP166 | |
Resazurin | Alfa Aesar | B21187 | |
DMSO | Sigma-Aldrich | D5879 | |
Glycerol | Fisher Scientific | BP229 | |
THP-1 | American Type Culture Collection | TIB-202 | |
M. tuberculosis H37Rv | |||
96-well flat bottom white plate | Corning | 3917 | |
95-well flat bottom clear plate | Corning | 3595 | |
Transparent plate sealer | Thermo Fisher Scientific | AB-0580 | |
Spectrophotometer | Thermo Fisher Scientific | Biomate 3 | |
Microplate spectrophotometer | Biotek | Epoch | |
luminometer | Applied Biosystems | Tropix TR717 |