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Antimicrobial Agents and Chemotherapy, October 2007, p. 3562-3567, Vol. 51, No. 10
0066-4804/07/$08.00+0 doi:10.1128/AAC.00383-07
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
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Rocky Mountain Regional Center of Excellence,3 Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado 80523-1682,1 Department of Chemistry, Stony Brook University, Stony Brook, New York 11794-34002
Received 21 March 2007/ Returned for modification 14 April 2007/ Accepted 20 July 2007
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Previously, we reported the synthesis of compounds designed to explore the diphenyl ether pharmacophore as a potential antitubercular agent. These studies were based on the known ability of triclosan to inhibit the enoyl reductase class of enzymes (20). Using rational drug development strategies, this initial study substantiated the use of modeling, enzyme inhibition, and whole-cell assays to identify compounds with enhanced activity against clinical strains of M. tuberculosis with various drug resistance profiles. However, it did not address the whole bacterial mode of action, toxicity, or in vivo activity of the compounds. Accordingly, the work presented here expands on our previous report by investigation of the mode of action and potential detoxification transcriptional patterns of the most potent analogs identified and by analysis of their efficacy in models of infection. Our findings demonstrate that although these high-affinity InhA inhibitors have issues with low bioavailability, they are more effective in vitro inhibitors with less cytotoxicity than the parent compound triclosan, thus narrowing the spectrum of structural changes required for drug enhancement. The transcriptional responses confirm that the alkyl diphenyl ethers inhibit InhA within the cell, unlike triclosan, which likely has other targets (6). The identification of a transcriptional response specific to the inhibition of InhA will be critical for the development of the next generation of high-affinity InhA inhibitors with improved in vivo properties.
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Rapid macrophage assay. A rapid macrophage assay was developed to assess the activities of compounds against intracellular bacteria. J774A.1 cells were allowed to phagocytose M. tuberculosis H37Rv cells (multiplicity of infection of 1:10) for 4 h at 37°C and then washed four times with phosphate-buffered saline (PBS) and culture growth medium without (control) or with one of the two most potent compounds (6PP and 8PP) at the MIC or twice the MIC (2x MIC). At time zero and 1 and 4 days postinfection, triplicate monolayers per compound were washed four times with PBS, lysed by the addition of 0.1% Triton X-100, and plated on 7H11 medium. Following incubation at 37°C, CFU were enumerated.
In vivo evaluation. The oral bioavailability of the compounds was tested using a bioassay approach, as described before (8). Eight to 10-week-old female C57BL/6 mice were dosed via oral gavage. Twenty minutes, 1 h, 2 h, and 4 h after being dosed, three mice were bled from the tail vein. Sera and standards of the compounds were tested in threefold dilutions against M. tuberculosis H37Rv. Bacterial growth was determined by measuring the optical density after 3, 6, 9, and 12 days. Estimations of serum drug levels (in µg ml–1 serum) were obtained by using the MIC data from the standard drug lanes.
Transcriptional profiling. M. tuberculosis H37Rv was treated with 15 µM 6PP, 12 µM 8PP, or 86 µM triclosan or left untreated at 37°C with shaking for 2 h. Whole bacteria were subjected to TRIzol extraction, and total RNA was isolated by physical disruption. Microarray analysis was performed with labeled cDNAs generated using direct labeling from 5 µg of total RNA as described previously (17). The resulting fluorescence for each channel of the array (Cy3 and Cy5) was normalized to the mean channel intensity and analyzed using Genesifter analysis software. t test statistical analysis and Benjamini and Hochberg correction were applied to all analyses of all mean normalized data. Significance was considered to be a >1.5-fold alteration in expression, with a P value cutoff of <0.05. The transcriptional activity of selected genes identified by DNA microarray analysis was verified using real-time PCR as described previously (20).
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TABLE 1. MICs and toxicity of alkyl diphenyl ethersa
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Assessment of serum binding and of activity in a rapid macrophage assay. To evaluate whether protein binding alters the activities of 6PP and 8PP and whether they are able to inhibit the growth of intracellular M. tuberculosis, the MICs of these compounds were determined in the presence of 10% mouse serum (according to CLSI guidelines), and their activity against bacteria was evaluated in a rapid macrophage assay. The results showed that the MIC for 6PP or 8PP was not influenced by the presence of serum, indicating that neither of these compounds has serum binding problems (Table 2). Furthermore, the addition of 6PP or 8PP at the 2x MIC to macrophages containing M. tuberculosis resulted in bacterial growth inhibition of 73% ± 7% and 71% ± 1%, respectively, which is demonstrative of intracellular antimycobacterial activity. INH was included as a positive control and reduced growth by 98% ± 1% at the 2x MIC. The inhibitory activities of 6PP and 8PP against intracellular bacteria in the rapid macrophage model are similar to those observed for other compounds tested for activity against M. tuberculosis (18). It should also be noted that both 6PP and 8PP displayed much lower toxicity in the macrophage assay than did the parent compound, triclosan, which was lethal to macrophages after 1 day of treatment at both the MIC and 2x MIC levels.
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TABLE 2. Protein binding and bioavailability analysis of 6PP and 8PPa
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Transcriptional differences between triclosan, 6PP, and 8PP. Previous reports indicate that triclosan affects respiration in addition to fatty acid synthesis, which likely results because triclosan is only a modest InhA inhibitor and thus must be used at concentrations that elicit other cellular effects (6). In order to determine if the increased potencies of 6PP and 8PP towards InhA had narrowed the mode of action of these compounds, the global transcriptional response of H37Rv treated with 6PP, 8PP, or triclosan was assessed. These studies showed that triclosan had a more pleiotropic effect on bacterial metabolism than did treatment with either 6PP or 8PP (Table 3; see Tables S1 and S2 in the supplemental material). In particular, 6PP and 8PP upregulated hallmark genes associated with cell wall synthesis, including fas, the KAS operon, accD4, pks13, pks16, fadD32, and rv0241c (6), demonstrating that these compounds specifically target fatty acid biosynthesis. In contrast, triclosan failed to induce cell wall synthesis genes; rather, this compound induced a large number of genes involved in ß-oxidation, including putative acyl-coenzyme A (acyl-CoA) synthase genes, genes for acyl-CoA dehydrogenases that catalyze the initiation of ß-oxidation, and genes that encode ß-oxidation proteins responsible for cyclic degradation of fatty acids. In addition, 6PP and 8PP also induced genes involved in meromycolate modification (umaA, mmaA3, and mmaA4), genes involved in the synthesis of arabinogalactan (embA and embB), the final cell wall acceptor for mycolic acids, and the gene for a member of the antigen 85 complex (fpbC) involved in deposition of mycolic acids (5).
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TABLE 3. Summary of differentially regulated ORFs, according to functional classification, after drug treatmenta
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High-content multiple-feature profiles of high-affinity InhA inhibitors.
Tandem self-organizing map (tandem-SOM) analysis was performed to identify open reading frames (ORFs) that can be used to construct high-content multiple-feature screens to monitor gene responses of next-generation diphenyl ethers (Fig. 1). When the signature response of M. tuberculosis to 6PP and 8PP treatment was studied and deciphered, genes (n = 60) that were uniquely responsive to treatment with diphenyl ethers (
1.5-fold change in expression) were grouped in global SOM (gSOM) groups 0 to 1 and genes that were induced by treatment with the analogs were grouped in sub-SOM (sSOM) groups 7 to 19. These genes are listed in Table 4 and include genes encoding fatty acid and mycolic acid synthases. This provides a signature profile for identifying novel compounds that have a similar mode of action to 6PP and 8PP.
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FIG. 1. Tandem-SOM analysis. (A) gSOM analysis of transcriptionally active ORFs. (B) sSOM analysis of ORFs from groups 0 to 2 of gSOM analysis. gSOM analysis distributed 3,627 ORFs into 30 groups (groups 0 to 29). sSOM analysis distributed 803 ORFs into 20 groups (groups 0 to 19).
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TABLE 4. High-content multiple-feature profiles of high-affinity InhA inhibitorsa
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An area of concern regarding the development of novel inhibitors against an established target is that these compounds might also be ineffective against existing drug-resistant strains. However, by synthesizing high-affinity InhA inhibitors that did not require KatG activation, both 6PP and 8PP were fully active against representative MDR clinical isolates with various resistance profiles. In addition, given the necessary long duration of treatment, toxicity is a significant issue with all antimycobacterial drugs. However, the A-ring modifications led to a >5-fold reduction in cytotoxicity compared to that of triclosan.
Lower toxicity levels were also apparent upon treatment of macrophages, as triclosan was toxic to macrophages, while 6PP and 8PP were not. Importantly, however, both 6PP and 8PP showed the ability to reduce bacterial growth in the rapid macrophage assay, thus indicating that these compounds were able to enter the macrophage and remain effective against intracellular M. tuberculosis growing under altered metabolic conditions. Given orally, neither 6PP nor 8PP had bioavailability as high as that of INH, but the analogs could be detected at 8 h postadministration. In addition, there were no adverse reactions noted upon oral administration, substantiating the reduced toxicity of these compounds. Importantly, the increased serum half-lives of 6PP and 8PP compared to that of INH are expected to provide more constant drug pressure, allowing greater dosing intervals during treatment. However, because of the poor bioavailability of 6PP and 8PP, neither demonstrated significant efficacy in a rapid mouse model when delivered by gavage (data not shown). Thus, while not active orally, these compounds exhibit decreased cytotoxicity and increased half-lives, which are crucial characteristics for any newly developed drug. Together, the in vivo studies indicate that 6PP and 8PP have low cytotoxicity levels and can inhibit intracellular organisms but still have limited bioavailability.
The next step in optimizing the drug activity of diphenyl ethers is to combine mechanistic and chemical information so that physiochemical properties of diphenyl ethers can be modified for greater bioavailability without compromising their specificity. Previous studies have reported on the ability of signature transcriptional profiles to categorize drug classes based on metabolic pressure (6). The identification of an increased number of genes allows for a greater number of features to be interrogated, thus providing a higher statistical significance for signature profiling of a drug's mode of action. Thus, the next generation of compounds will be subjected to high-content multiple-feature profiling to prioritize screening efforts to those analogs with improved in vivo properties that maintain the desired metabolic effect on bacteria.
We acknowledge the postgenomic resources and services provided by the Rocky Mountain Regional Center of Excellence.
Published ahead of print on 30 July 2007. ![]()
Supplemental material for this article may be found at http://aac.asm.org/. ![]()
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