S-Adenosyl-N-decyl-aminoethyl, a Potent Bisubstrate Inhibitor of Mycobacterium tuberculosis Mycolic Acid Methyltransferases

S-Adenosylmethionine-dependent methyltransferases (AdoMet-MTs) constitute a large family of enzymes specifically transferring a methyl group to a range of biologically active molecules. Mycobacterium tuberculosis produces a set of paralogous AdoMet-MTs responsible for introducing key chemical modifications at defined positions of mycolic acids, which are essential and specific components of the mycobacterial cell envelope. We investigated the inhibition of these mycolic acid methyltransferases (MA-MTs) by structural analogs of the AdoMet cofactor. We found that S-adenosyl-N-decyl-aminoethyl, a molecule in which the amino acid moiety of AdoMet is substituted by a lipid chain, inhibited MA-MTs from Mycobacterium smegmatis and M. tuberculosis strains, both in vitro and in vivo, with IC₅₀ values in the submicromolar range. By contrast, S-adenosylhomocysteine, the demethylated reaction product, and sinefungin, a general AdoMet-MT inhibitor, did not inhibit MA-MTs. The interaction between Hma (MmaA4), which is strictly required for the biosynthesis of oxygenated mycolic acids in M. tuberculosis, and the three cofactor analogs was investigated by x-ray crystallography. The high resolution crystal structures obtained illustrate the bisubstrate nature of S-adenosyl-N-decyl-aminoethyl and provide insight into its mode of action in the inhibition of MA-MTs. This study has potential implications for the design of new drugs effective against multidrug-resistant and persistent tubercle bacilli.One-third of the world population is infected with the tubercle bacillus, Mycobacterium tuberculosis, and tuberculosis kills one person every 20 s. The inhaled pathogenic bacilli are taken up by phagocytosis by pulmonary macrophages, which, together with lymphocytes and dendritic cells, form granulomas. The bacilli persist in the granuloma until their reactivation, dissemination into the lungs, and the triggering of disease. The natural resistance of persistent tubercle bacilli to drugs and the emergence of multidrug-resistant and extensively drug-resistant M. tuberculosis strains are two main concerns in the treatment of the disease. A survey carried out by the Centers for Disease Control and Prevention and the World Health Organization between 2000 and 2004 reported that 20% of 17,690 M. tuberculosis isolates from 49 countries were multidrug-resistant, and 2% were extensively drug-resistant (1). The development of new drugs effective against persistent and drug-resistant bacilli has therefore become a priority.The thick lipid-rich envelope of the Mycobacterium genus is characterized by the presence of mycolic acids (MAs),⁴ very long chain (C₆₀–C₉₀) α-alkylated β-hydroxylated fatty acids (2). MAs are the major components of the mycomembrane (3, 4) lipid bilayer, which plays a key role in both the architecture and permeability of the mycobacterial envelope. The MA biosynthetic pathway is essential for mycobacterial survival. MAs are generated by Claisen condensation between two fatty acyl chains as follows: the very long meromycoloyl chain (C₄₀–C₆₀) and a shorter saturated chain (C₂₂–C₂₆) (2). The different types of MAs are defined by the presence of decorations introduced at proximal and distal positions of the meromycolic chain (Fig. 1A) by a family of paralogous S-adenosylmethionine-dependent methyltransferases (AdoMet-MTs), the mycolic acid methyltransferases (MA-MTs). These chemical modifications are known to be important for the pathogenicity, virulence, and persistence of M. tuberculosis. For example, the cis-cyclopropane introduced at the proximal position of α-MAs by PcaA has an impact on the persistence of the tubercle bacillus within infected organisms (5). Furthermore, the keto and methoxy groups, with a vicinal methyl ramification at the distal position of oxygenated MAs, play a role in M. tuberculosis virulence in the mouse model of infection (6) and have recently been reported to be involved in host-pathogen interplay. Indeed, oxygenated MAs have been shown to modulate IL-12p40 production by macrophages (7) and to trigger the in vitro differentiation of monocyte-derived macrophages into foamy macrophages, which house the bacillus in a dormant state, within granulomas (8). Oxygenated MA biosynthesis requires the Hma (MmaA4) methyltransferase (Fig. 1B), as demonstrated by the absence of the oxygenated form in an M. tuberculosis hma knock-out mutant (6, 9). These results suggest that the enzymes responsible for adding the decorations to MAs, including oxygenated groups in particular, may be relevant pharmacological targets for the development of new antituberculous drugs (10).Open in a separate windowFIGURE 1.A, structures of MAs from M. tuberculosis and M. smegmatis. D, distal position; P, proximal position. Enzymes involved in the introduction of decorations on the meromycolic chain are indicated. B, proposed reaction scheme for the introduction of oxygenated groups. m = 17, 19; n, unknown; X, unknown carrier.Based on the essential role played by MA-MTs in the physiopathology of tuberculosis, several studies have investigated the possible inhibition of this family of enzymes. A recent study revealed that the antituberculous drug thiacetazone and its chemical analogs inhibited MA cyclopropanation at concentrations in the micromolar range (11). Another study, based on mixtures of crude extracts of heat-inactivated mycobacteria and recombinant Escherichia coli overproducing MA-MTs, suggested that the incorporation of [³H]AdoMet into growing meromycolic chains is inhibited by a high concentration (1 mg/ml, i.e. 2.6 mm) of S-adenosyl-l-homocysteine (AdoHcy) or sinefungin (12), the demethylated reaction product and a natural structural analog of AdoMet, respectively (Fig. 2). By contrast, AdoHcy and sinefungin are strong inhibitors of other AdoMet-MTs in vitro, including the cyclopropane fatty-acid synthase (CFAS) from E. coli (K_i of 30 and 0.22 μm, respectively) (13, 14). However, they are active only against the isolated enzyme, whereas S-adenosyl-N-decyl-aminoethyl (SADAE), a molecule in which the amino acid moiety of AdoMet is substituted by a lipid chain (Fig. 2), is active against CFAS both in vitro (K_i,app = 6 μm) and in vivo (complete inhibition at 150 μm) (15). The broad screening of possible inhibitors of MA-MTs with an in vitro mini-assay poses a major challenge, as these enzymes most likely use very long meromycolic chains as substrates. In this context, the similarity between CFAS and Hma in terms of their sequences (31% sequence identity) and substrates may be useful, as it suggests that SADAE may inhibit MA-MTs (15).Open in a separate windowFIGURE 2.Structure of AdoMet and of the AdoHcy, sinefungin, and SADAE analogs.We report here our investigations of the interactions between Hma and SADAE, as compared with those between Hma and AdoHcy or sinefungin, and the potential impact of these interactions on the activities of Hma and other MA-MTs and mycobacterial growth. Our high resolution crystallographic characterization of the Hma-SADAE interaction illustrates the bisubstrate nature of the ligand, which is strongly correlated with its strong inhibitory properties.     

Mycolic acids from Mycobacterium tuberculosis: purification by countercurrent distribution and T-cell stimulation

Bacterial cell wall lipids are recognized as immunostimulatory molecules which make an important component of vaccines against bacterial diseases. Even mycolic acids, forming the waxy outer layer of the bacilli which cause tuberculosis, have been shown to stimulate human CD4/8 double negative T-cells. The role of these cells in resistance to tuberculosis is currently still debated. In this work, a method is described to purify mycolic acids from bacterial crude extracts in a single step using countercurrent distribution. Mycolic acids obtained in this way approach 100% purity and stimulate both double negative and CD4 positive T-cells in peripheral blood leucocytes obtained from healthy human donors. Stimulation of CD4 cells by mycolic acid antigens has not been reported before, emphasizing the potential importance of mycolic acids in the context of the fight against tuberculosis.     

A Common Mechanism of Inhibition of the Mycobacterium tuberculosis Mycolic Acid Biosynthetic Pathway by Isoxyl and Thiacetazone

Isoxyl (ISO) and thiacetazone (TAC), two prodrugs once used in the clinical treatment of tuberculosis, have long been thought to abolish Mycobacterium tuberculosis (M. tuberculosis) growth through the inhibition of mycolic acid biosynthesis, but their respective targets in this pathway have remained elusive. Here we show that treating M. tuberculosis with ISO or TAC results in both cases in the accumulation of 3-hydroxy C₁₈, C₂₀, and C₂₂ fatty acids, suggestive of an inhibition of the dehydratase step of the fatty-acid synthase type II elongation cycle. Consistently, overexpression of the essential hadABC genes encoding the (3R)-hydroxyacyl-acyl carrier protein dehydratases resulted in more than a 16- and 80-fold increase in the resistance of M. tuberculosis to ISO and TAC, respectively. A missense mutation in the hadA gene of spontaneous ISO- and TAC-resistant mutants was sufficient to confer upon M. tuberculosis high level resistance to both drugs. Other mutations found in hypersusceptible or resistant M. tuberculosis and Mycobacterium kansasii isolates mapped to hadC. Mutations affecting the non-essential mycolic acid methyltransferases MmaA4 and MmaA2 were also found in M. tuberculosis spontaneous ISO- and TAC-resistant mutants. That MmaA4, at least, participates in the activation of the two prodrugs as proposed earlier is not supported by our biochemical evidence. Instead and in light of the known interactions of both MmaA4 and MmaA2 with HadAB and HadBC, we propose that mutations affecting these enzymes may impact the binding of ISO and TAC to the dehydratases.     

Semi-automated Curation of Metabolic Models via Flux Balance Analysis: A Case Study with Mycoplasma gallisepticum

Primarily used for metabolic engineering and synthetic biology, genome-scale metabolic modeling shows tremendous potential as a tool for fundamental research and curation of metabolism. Through a novel integration of flux balance analysis and genetic algorithms, a strategy to curate metabolic networks and facilitate identification of metabolic pathways that may not be directly inferable solely from genome annotation was developed. Specifically, metabolites involved in unknown reactions can be determined, and potentially erroneous pathways can be identified. The procedure developed allows for new fundamental insight into metabolism, as well as acting as a semi-automated curation methodology for genome-scale metabolic modeling. To validate the methodology, a genome-scale metabolic model for the bacterium Mycoplasma gallisepticum was created. Several reactions not predicted by the genome annotation were postulated and validated via the literature. The model predicted an average growth rate of 0.358±0.12, closely matching the experimentally determined growth rate of M. gallisepticum of 0.244±0.03. This work presents a powerful algorithm for facilitating the identification and curation of previously known and new metabolic pathways, as well as presenting the first genome-scale reconstruction of M. gallisepticum.     

Gene Expression, Amino Acid Conservation, and Hydrophobicity Are the Main Factors Shaping Codon Preferences in Mycobacterium tuberculosis and Mycobacterium leprae

Mycobacterium tuberculosis and Mycobacterium leprae are the ethiological agents of tuberculosis and leprosy, respectively. After performing extensive comparisons between genes from these two GC-rich bacterial species, we were able to construct a set of 275 homologous genes. Since these two bacterial species also have a very low growth rate, translational selection could not be so determinant in their codon preferences as it is in other fast-growing bacteria. Indeed, principal-components analysis of codon usage from this set of homologous genes revealed that the codon choices in M. tuberculosis and M. leprae are correlated not only with compositional constraints and translational selection, but also with the degree of amino acid conservation and the hydrophobicity of the encoded proteins. Finally, significant correlations were found between GC₃ and synonymous distances as well as between synonymous and nonsynonymous distances. Received: 30 October 1998 / Accepted: 16 August 1999     

Ultra-low Dose Aerosol Infection of Mice with Mycobacterium tuberculosis More Closely Models Human Tuberculosis

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华南南亚热带植被第一性生产量的影响因素及预测模型

讨论植被类型、降雨、湿度、土壤条件对华南南亚热带植被第一性生产量的影响。比较各种预测第一性生产量的气候模型,为更好地预测和提高华南南亚热带植被第一性生产量提供依据。     

The Effect of Hyperglycaemia on In Vitro Cytokine Production and Macrophage Infection with Mycobacterium tuberculosis

Type 2 diabetes mellitus is an established risk factor for tuberculosis but the underlying mechanisms are largely unknown. We examined the effects of hyperglycaemia, a hallmark of diabetes, on the cytokine response to and macrophage infection with Mycobacterium tuberculosis. Increasing in vitro glucose concentrations from 5 to 25 mmol/L had marginal effects on cytokine production following stimulation of peripheral blood mononuclear cells (PBMCs) with M. tuberculosis lysate, LPS or Candida albicans, while 40 mmol/L glucose increased production of TNF-α, IL-1β, IL-6 and IL-10, but not of IFN-γ, IL-17A and IL-22. Macrophage differentiation under hyperglycaemic conditions of 25 mmol/L glucose was also associated with increased cytokine production upon stimulation with M. tuberculosis lysate and LPS but in infection experiments no differences in M. tuberculosis killing or outgrowth was observed. The phagocytic capacity of these hyperglycaemic macrophages also remained unaltered. The fact that only very high glucose concentrations were able to significantly influence cytokine production by macrophages suggests that hyperglycaemia alone cannot fully explain the increased susceptibility of diabetes mellitus patients to tuberculosis.     

Cloning and Characterization of Arylamine N-Acetyltransferase Genes from Mycobacterium smegmatis and Mycobacterium tuberculosis: Increased Expression Results in Isoniazid Resistance

Arylamine N-acetyltransferases (NATs) are found in many eukaryotic organisms, including humans, and have previously been identified in the prokaryote Salmonella typhimurium. NATs from many sources acetylate the antitubercular drug isoniazid and so inactivate it. nat genes were cloned from Mycobacterium smegmatis and Mycobacterium tuberculosis, and expressed in Escherichia coli and M. smegmatis. The induced M. smegmatis NAT catalyzes the acetylation of isoniazid. A monospecific antiserum raised against pure NAT from S. typhimurium recognizes NAT from M. smegmatis and cross-reacts with recombinant NAT from M. tuberculosis. Overexpression of mycobacterial nat genes in E. coli results in predominantly insoluble recombinant protein; however, with M. smegmatis as the host using the vector pACE-1, NAT proteins from M. tuberculosis and M. smegmatis are soluble. M. smegmatis transformants induced to express the M. tuberculosis nat gene in culture demonstrated a threefold higher resistance to isoniazid. We propose that NAT in mycobacteria could have a role in acetylating, and hence inactivating, isoniazid.     

Expression of membrane proteins from Mycobacterium tuberculosis in Escherichia coli as fusions with maltose binding protein

Sixteen of 22 low molecular weight integral membrane proteins from Mycobacterium tuberculosis with previously poor or undetectable levels of expression were expressed in Escherichia coli as fusions with both the maltose binding protein (MBP) and a His(8)-tag. Sixty-eight percent of targeted proteins were expressed in high yield (>30 mg/L) in soluble and/or inclusion body form. Thrombin cleavage of the MBP fusion protein was successful for 10 of 13 proteins expressed as soluble proteins and for three proteins expressed only as inclusion bodies. The use of autoinduction growth media increased yields over Luria-Bertani (LB) growth media in 75% of the expressed proteins. Expressing integral membrane proteins with yields suitable for structural studies from a set of previously low and non-expressing proteins proved highly successful upon attachment of the maltose binding protein as a fusion tag.     

Reduced Expression of CD27 by Collagenase Treatment: Implications for Interpreting B Cell Data in Tissues

Surface markers have been used to identify distinct cell subpopulations and to delineate various stages of maturation or activation of lymphocytes. In particular CD27 is used for delineation of naïve and memory B cell populations, and is readily detected by flow cytometry. We here used flow cytometry to examine the expression of CD27 on lymphocytes isolated from various tissues of rhesus macaques, and found its expression was consistently low to absent on intestinal cell suspensions. However, immunohistochemistry revealed abundant CD27+ cells in intestinal tissue sections. Further investigation showed the marked loss of CD27 expression on processed intestinal cells was due to collagenase digestion of intestinal tissues, yet CD27 expression was recoverable within hours of cell isolation. By combining confocal microscopy, we confirmed that only a fraction of B cells express CD27, in contrast to expression on all T cells from tissues examined including the gut. Taken together, our results suggest that CD27 may be a memory marker for B cells, but not for T cells, since essentially all CD3 T cells expressed CD27. In summary, it is important to consider the influence of isolation procedures on cell surface expression of phenotypic markers, especially when examining tissue-resident lymphocytes by flow cytometry.     

Integration of Biomass Formulations of Genome-Scale Metabolic Models with Experimental Data Reveals Universally Essential Cofactors in Prokaryotes

The composition of a cell in terms of macromolecular building blocks and other organic molecules underlies the metabolic needs and capabilities of a species. Although some core biomass components such as nucleic acids and proteins are evident for most species, the essentiality of the pool of other organic molecules, especially cofactors and prosthetic groups, is yet unclear. Here we integrate biomass compositions from 71 manually curated genome-scale models, 33 large-scale gene essentiality datasets, enzyme-cofactor association data and a vast array of publications, revealing universally essential cofactors for prokaryotic metabolism and also others that are specific for phylogenetic branches or metabolic modes. Our results revise predictions of essential genes in Klebsiella pneumoniae and identify missing biosynthetic pathways in models of Mycobacterium tuberculosis. This work provides fundamental insights into the essentiality of organic cofactors and has implications for minimal cell studies as well as for modeling genotype-phenotype relations in prokaryotic metabolic networks.     

Differences between tuberculosis cases infected with Mycobacterium africanum, West African type 2, relative to Euro-American Mycobacterium tuberculosis: an update

Mycobacterium africanum (MAF) is a common cause of human pulmonary tuberculosis in West Africa. We previously described phenotypic differences between MAF and Mycobacterium tuberculosis (MTB) among 290 patients. In the present analysis, we compared 692 tuberculosis patients infected with the two most common lineages within the (MTB) complex found in the Gambia, namely MAF West African type 2 (39% prevalence) and Euro-American MTB (55% prevalence). We identified additional phenotypic differences between infections with these two organisms. MAF patients were more likely to be older and HIV infected. In addition, they had worse disease on chest X-ray, despite complaining of cough for an equal duration, and were more likely severely malnourished. In this cohort, the prevalence of MAF did not change significantly over a 7-year period.     

Predicting In Vitro Rumen VFA Production Using CNCPS Carbohydrate Fractions with Multiple Linear Models and Artificial Neural Networks

The objectives of this trial were to develop multiple linear regression (MLR) models and three-layer Levenberg-Marquardt back propagation (BP3) neural network models using the Cornell Net Carbohydrate and Protein System (CNCPS) carbohydrate fractions as dietary variables for predicting in vitro rumen volatile fatty acid (VFA) production and further compare MLR and BP3 models. Two datasets were established for the trial, of which the first dataset containing 45 feed mixtures with concentrate/roughage ratios of 10∶90, 20∶80, 30∶70, 40∶60, and 50∶50 were used for establishing the models and the second dataset containing 10 feed mixtures with the same concentrate/roughage ratios with the first dataset were used for testing the models. The VFA production of feed samples was determined using an in vitro incubation technique. The CNCPS carbohydrate fractions (g), i.e. CA (sugars), CB₁ (starch and pectin), CB₂ (available cell wall) of feed samples were calculated based on chemical analysis. The performance of MLR models and BP3 models were compared using a paired t-test, the determination coefficient (R²) and the root mean square prediction error (RMSPE) between observed and predicted values. Statistical analysis indicated that VFA production (mmol) was significantly correlated with CNCPS carbohydrate fractions (g) CA, CB₁, and CB₂ in a multiple linear pattern. Compared with MLR models, BP3 models were more accurate in predicting acetate, propionate, and total VFA production while similar in predicting butyrate production. The trial indicated that both MLR and BP3 models were suitable for predicting in vitro rumen VFA production of feed mixtures using CNCPS carbohydrate fractions CA, CB₁, and CB₂ as input dietary variables while BP3 models showed greater accuracy for prediction.     

MetaMerge: scaling up genome-scale metabolic reconstructions with application to Mycobacterium tuberculosis

Reconstructed models of metabolic networks are widely used for studying metabolism in various organisms. Many different reconstructions of the same organism often exist concurrently, forcing researchers to choose one of them at the exclusion of the others. We describe MetaMerge, an algorithm for semi-automatically reconciling a pair of existing metabolic network reconstructions into a single metabolic network model. We use MetaMerge to combine two published metabolic networks for Mycobacterium tuberculosis into a single network, which allows many reactions that could not be active in the individual models to become active, and predicts essential genes with a higher positive predictive value.