Glycomimetic, Orally Bioavailable LecB Inhibitors Block Biofilm Formation of Pseudomonas aeruginosaClick to copy article linkArticle link copied!
- Roman Sommer
- Stefanie Wagner
- Katharina Rox
- Annabelle Varrot
- Dirk Hauck
- Eike-Christian Wamhoff
- Janine Schreiber
- Thomas Ryckmans
- Thomas Brunner
- Christoph Rademacher
- Rolf W. Hartmann
- Mark Brönstrup
- Anne Imberty
- Alexander Titz
Abstract
The opportunistic Gram-negative bacterium Pseudomonas aeruginosa is a leading pathogen for infections of immuno-compromised patients and those suffering from cystic fibrosis. Its ability to switch from planktonic life to aggregates, forming the so-called biofilms, is a front-line mechanism of antimicrobial resistance. The bacterial carbohydrate-binding protein LecB is an integral component and necessary for biofilm formation. Here, we report a new class of drug-like low molecular weight inhibitors of the lectin LecB with nanomolar affinities and excellent receptor binding kinetics and thermodynamics. This class of glycomimetic inhibitors efficiently blocked biofilm formation of P. aeruginosain vitro while the natural monovalent carbohydrate ligands failed. Furthermore, excellent selectivity and pharmacokinetic properties were achieved. Notably, two compounds showed good oral bioavailability, and high compound concentrations in plasma and urine were achieved in vivo.
Note Added after ASAP Publication
This paper was published January 22, 2018. In the article and supporting information, compound 2a related to the X-ray structure has been corrected to 3a. The revised version was posted on February 21, 2018.
Introduction
Results and Discussion
Design and Synthesis of C-Glycoside LecB Inhibitors
Figure 1
Figure 1. Rational design of 6 and 7 as monovalent C-glycosidic glycomimetic LecB inhibitors. Derivatives of methyl α-d-mannoside 1–5 and their inhibitory potency for the binding with LecBPAO1. (30, 31, 35) Moieties colored in blue increase potency by improving binding kinetics. (30, 32) The orange colored methyl group originating from l-fucosides enhances binding to LecB through a lipophilic interaction. (31, 35)
Figure 2
Figure 2. Competitive binding assay of inhibitors with LecBPAO1 and LecBPA14. Means and standard deviations were determined from a minimum of three independent measurements. IC50 values for 1 with both LecB variants and 2a–c, 3a,c and 5 with LecBPAO1 were previously published. (20, 30-32) One representative titration with LecBPA14 is depicted for reference pairs 2b/6b and 3a/7a. Gray arrows indicate the increase in activity for C-glycosides.
Scheme 1
Scheme aReagents and conditions: (a) MeNO2, DBU, molecular sieves 3 Å, 1,4-dioxane, 50 °C, 3 days; (b) Pt/C, H2, HCl, MeOH, r.t., 2 days; (c) acyl/sulfonyl chloride or carboxylic acid/EDC·HCl, Et3N, DMF, 0 °C. Yields are given over two steps from nitro derivative 9.
Improved Binding Properties of C-Glycoside Structures toward LecB
Figure 3
Figure 3. Isothermal titration microcalorimetry of LecBPAO1 and LecBPA14 with ligands 6a and 7a,b. Means and standard deviations were determined from a minimum of three independent titrations. One representative titration graph is depicted for LecBPAO1 only.
Figure 4
Figure 4. Surface plasmon resonance (SPR) analysis of direct binding of 6a or 7a to immobilized LecBPAO1. Experimental data in black; calculated fits using a 1:1 binding model in red.
Structure of LecB in Complex with Hybrid Inhibitors
Figure 5
Figure 5. Crystal structures of LecBPA14 with C-glycoside ligands: (A) Complex with trimethylphenyl sulfonamide 7a (1.65 Å resolution), (B) Complex with thiophene 7b (1.65 Å resolution); For the ligands the 2Fobs – Fcalc electron density is displayed at 1 σ. Ligands and amino acids of the carbohydrate recognition domain (CRD) are depicted as sticks colored by elements (C: gray, N: blue, O: red, S: yellow); protein surface in transparent blue and two Ca2+-ions in the binding sites are shown as green spheres.
Low Molecular Weight Glycomimetics Are Potent Inhibitors of Bacterial Biofilm Formation
Figure 6
Figure 6. Inhibition of biofilm formation by P. aeruginosa after 48 h growth in the presence of compounds 1, 2a, 3a, 6a, 7a,b, or methyl α-l-fucoside (11) at 100 μM. DMSO in absence of compounds was used as control. (A) Quantification of biofilm biomass. Averages and standard deviations of biofilm formation from three independent replicates. Statistical significance was calculated using the students t test. (B) Raw data of confocal fluorescence microscopy 3D images show one representative z-stack per condition.
Compound Selectivity for LecB over Host Lectins
Figure 7
Figure 7. Binding of C-glycosides 6a and 7a and l-fucose (8) to Langerin as determined in a 19F R2-filtered NMR competitive binding assay.
In Vitro Metabolic Stability and Toxicity
In Vivo Pharmacokinetics of C-Glycosides
Figure 8
Figure 8. In vivo pharmacokinetics of 7a and 7b in CD-1 mice. Mean profile (±) SD of plasma (left column) and urine (right column) concentration in mouse versus time after i.v. (top) or p.o. (bottom) administration of compound 7a or 7b in a single dosing experiment (10 mg/kg, n = 3). Dashed line represents the in vitro IC50 range for both candidates with LecBPA14.
Conclusions
Supporting Information
The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/jacs.7b11133.
Experimental details and 1H and 13C spectra of new compounds; ITC titration data; X-ray data collection and refinement statistics; crystal structures showing ligand alignment and crystal packing effects; correlation of fluorescence intensities with cfu and OD600 measurements; effects of compounds on total fluorescence intensities; calculated lipophilicity of selected compounds; analysis of TNF-α concentration after stimulation of mouse spleen cells with and without test compounds; microsomal intrinsic clearance (CLint) of 3a, 3b, and C-glycosides 7 in mouse and human liver microsomes; stability of LecB ligands in mouse plasma; m/z search window for plasma stability assay; toxicity of LecB ligands to human liver Hep G2 cells; accuracy, quantification limits, and lower limit of qualification for 7a and 7b in plasma, urine, and kidney matrix; mass spectrometric conditions used for quantification and qualification of 7a, 7b, and the internal standard glipizide; PK parameters of 7a and 7b in mice (PDF)
Terms & Conditions
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Acknowledgment
We are grateful to Sarah Henrikus and Shelby Newsad for chemistry support and to Dr. Michael Hoffmann for HRMS measurements (all HIPS Saarbrücken). We acknowledge technical assistance from Tatjana Arnold (HZI, Braunschweig) and Astrid Glöckner (Konstanz University); Dr. Aymeric Audfray (CERMAV Grenoble) is acknowledged for instructions to SPR. We thank Dr. Josef Zapp (Saarland University) for performing NMR measurements. Crystal data collection was performed at the European Synchrotron Radiation Facility, Grenoble, France, and we are grateful for access and technical support to beamline FIP-BM30A and ID29. A.I. and A.V. acknowledge support from the ANR projects Glyco@Alps (ANR-15-IDEX-02) and Labex ARCANE (ANR-11-LABX-003). We thank the Helmholtz Association (grant no VH-NG-934, to A.T.), EU COST action BM1003 (to R.S.), DAAD RISE program (to S. Newsad and R.S.) and the Deutsche Forschungsgemeinschaft (to A.T., grant no. Ti756/2-1, to C.R., grant no. RA1944/2-1) for financial support.
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- 18Dötsch, A.; Schniederjans, M.; Khaledi, A.; Hornischer, K.; Schulz, S.; Bielecka, A.; Eckweiler, D.; Pohl, S.; Häussler, S. mBio 2015, 6, e00749-15 DOI: 10.1128/mBio.00749-15Google ScholarThere is no corresponding record for this reference.
- 19Boukerb, A. M.; Decor, A.; Ribun, S.; Tabaroni, R.; Rousset, A.; Commin, L.; Buff, S.; Doléans-Jordheim, A.; Vidal, S.; Varrot, A.; Imberty, A.; Cournoyer, B. Front. Microbiol. 2016, 7, 811 DOI: 10.3389/fmicb.2016.00811Google Scholar19Genomic Rearrangements and Functional Diversification of lecA and lecB Lectin-Coding Regions Impacting the Efficacy of Glycomimetics Directed against Pseudomonas aeruginosaBoukerb Amine M; Ribun Sebastien; Doleans-Jordheim Anne; Cournoyer Benoit; Decor Aude; Tabaroni Rachel; Varrot Annabelle; Imberty Anne; Rousset Audric; Vidal Sebastien; Commin Loris; Buff SamuelFrontiers in microbiology (2016), 7 (), 811 ISSN:1664-302X.LecA and LecB tetrameric lectins take part in oligosaccharide-mediated adhesion-processes of Pseudomonas aeruginosa. Glycomimetics have been designed to block these interactions. The great versatility of P. aeruginosa suggests that the range of application of these glycomimetics could be restricted to genotypes with particular lectin types. The likelihood of having genomic and genetic changes impacting LecA and LecB interactions with glycomimetics such as galactosylated and fucosylated calix[4]arene was investigated over a collection of strains from the main clades of P. aeruginosa. Lectin types were defined, and their ligand specificities were inferred. These analyses showed a loss of lecA among the PA7 clade. Genomic changes impacting lec loci were thus assessed using strains of this clade, and by making comparisons with the PAO1 genome. The lecA regions were found challenged by phage attacks and PAGI-2 (genomic island) integrations. A prophage was linked to the loss of lecA. The lecB regions were found less impacted by such rearrangements but greater lecB than lecA genetic divergences were recorded. Sixteen combinations of LecA and LecB types were observed. Amino acid variations were mapped on PAO1 crystal structures. Most significant changes were observed on LecBPA7, and found close to the fucose binding site. Glycan array analyses were performed with purified LecBPA7. LecBPA7 was found less specific for fucosylated oligosaccharides than LecBPAO1, with a preference for H type 2 rather than type 1, and Lewis(a) rather than Lewis(x). Comparison of the crystal structures of LecBPA7 and LecBPAO1 in complex with Lewis(a) showed these changes in specificity to have resulted from a modification of the water network between the lectin, galactose and GlcNAc residues. Incidence of these modifications on the interactions with calix[4]arene glycomimetics at the cell level was investigated. An aggregation test was used to establish the efficacy of these ligands. Great variations in the responses were observed. Glycomimetics directed against LecB yielded the highest numbers of aggregates for strains from all clades. The use of a PAO1ΔlecB strain confirmed a role of LecB in this aggregation phenotype. Fucosylated calix[4]arene showed the greatest potential for a use in the prevention of P. aeruginosa infections.
- 20Sommer, R.; Wagner, S.; Varrot, A.; Nycholat, C. M.; Khaledi, A.; Haussler, S.; Paulson, J. C.; Imberty, A.; Titz, A. Chem. Sci. 2016, 7, 4990– 5001 DOI: 10.1039/C6SC00696EGoogle Scholar20The virulence factor LecB varies in clinical isolates: consequences for ligand binding and drug discoverySommer, Roman; Wagner, Stefanie; Varrot, Annabelle; Nycholat, Corwin M.; Khaledi, Ariane; Haeussler, Susanne; Paulson, James C.; Imberty, Anne; Titz, AlexanderChemical Science (2016), 7 (8), 4990-5001CODEN: CSHCCN; ISSN:2041-6520. (Royal Society of Chemistry)P. aeruginosa causes a substantial no. of nosocomial infections and is the leading cause of death of cystic fibrosis patients. This Gram-neg. bacterium is highly resistant against antibiotics and further protects itself by forming a biofilm. Moreover, a high genomic variability among clin. isolates complicates therapy. Its lectin LecB is a virulence factor and necessary for adhesion and biofilm formation. The authors analyzed the sequence of LecB variants in a library of clin. isolates and demonstrate that it can serve as a marker for strain family classification. LecB from the highly virulent model strain PA14 presents 13% sequence divergence with LecB from the well characterized PAO1 strain. These differences might result in differing ligand binding specificities and ultimately in reduced efficacy of drugs directed towards LecB. Despite several amino acid variations at the carbohydrate binding site, glycan array anal. showed a comparable binding pattern for both variants. A common high affinity ligand could be identified and after its chemoenzymic synthesis verified in a competitive binding assay: an N-glycan presenting two blood group O epitopes (H-type 2 antigen). Mol. modeling of the complex suggests a bivalent interaction of the ligand with the LecB tetramer by bridging two sep. binding sites. This binding rationalizes the strong avidity (35 nM) of LecBPA14 to this human fucosylated N-glycan. Biochem. evaluation of a panel of glycan ligands revealed that LecBPA14 demonstrated higher glycan affinity compared to LecBPAO1 including the extraordinarily potent affinity of 70 nM towards the monovalent human antigen Lewisa. The structural basis of this unusual high affinity ligand binding for lectins was rationalized by solving the protein crystal structures of LecBPA14 with several glycans.
- 21Boukerb, A. M.; Rousset, A.; Galanos, N.; Méar, J.-B.; Thepaut, M.; Grandjean, T.; Gillon, E.; Cecioni, S.; Abderrahmen, C.; Faure, K.; Redelberger, D.; Kipnis, E.; Dessein, R.; Havet, S.; Darblade, B.; Matthews, S. E.; de Bentzmann, S.; Guéry, B.; Cournoyer, B.; Imberty, A.; Vidal, S. J. Med. Chem. 2014, 57, 10275– 10289 DOI: 10.1021/jm500038pGoogle ScholarThere is no corresponding record for this reference.
- 22Chemani, C.; Imberty, A.; de Bentzmann, S.; Pierre, M.; Wimmerová, M.; Guery, B. P.; Faure, K. Infect. Immun. 2009, 77, 2065– 2075 DOI: 10.1128/IAI.01204-08Google Scholar22Role of LecA and LecB lectins in Pseudomonas aeruginosa-induced lung injury and effect of carbohydrate ligandsChemani, Chanez; Imberty, Anne; de Bentzmann, Sophie; Pierre, Maud; Wimmerova, Michaela; Guery, Benoit P.; Faure, KarineInfection and Immunity (2009), 77 (5), 2065-2075CODEN: INFIBR; ISSN:0019-9567. (American Society for Microbiology)Pseudomonas aeruginosa is a frequently encountered pathogen that is involved in acute and chronic lung infections. Lectin-mediated bacterium-cell recognition and adhesion are crit. steps in initiating P. aeruginosa pathogenesis. This study was designed to evaluate the contributions of LecA and LecB to the pathogenesis of P. aeruginosa-mediated acute lung injury. Using an in vitro model with A549 cells and an exptl. in vivo murine model of acute lung injury, we compared the parental strain to lecA and lecB mutants. The effects of both LecA- and LecB-specific lectin-inhibiting carbohydrates (α-methyl-galactoside and α-methyl-fucoside, resp.) were evaluated. In vitro, the parental strain was assocd. with increased cytotoxicity and adhesion on A549 cells compared to the lecA and lecB mutants. In vivo, the P. aeruginosa-induced increase in alveolar barrier permeability was reduced with both mutants. The bacterial burden and dissemination were decreased for both mutants compared with the parental strain. Coadministration of specific lectin inhibitors markedly reduced lung injury and mortality. Our results demonstrate that there is a relationship between lectins and the pathogenicity of P. aeruginosa. Inhibition of the lectins by specific carbohydrates may provide new therapeutic perspectives.
- 23Cott, C.; Thuenauer, R.; Landi, A.; Kühn, K.; Juillot, S.; Imberty, A.; Madl, J.; Eierhoff, T.; Römer, W. Biochim. Biophys. Acta, Mol. Cell Res. 2016, 1863, 1106– 1118 DOI: 10.1016/j.bbamcr.2016.02.004Google Scholar23Pseudomonas aeruginosa lectin LecB inhibits tissue repair processes by triggering β-catenin degradationCott, Catherine; Thuenauer, Roland; Landi, Alessia; Kuehn, Katja; Juillot, Samuel; Imberty, Anne; Madl, Josef; Eierhoff, Thorsten; Roemer, WinfriedBiochimica et Biophysica Acta, Molecular Cell Research (2016), 1863 (6_Part_A), 1106-1118CODEN: BBAMCO; ISSN:0167-4889. (Elsevier B.V.)Pseudomonas aeruginosa is an opportunistic pathogen that induces severe lung infections such as ventilator-assocd. pneumonia and acute lung injury. Under these conditions, the bacterium diminishes epithelial integrity and inhibits tissue repair mechanisms, leading to persistent infections. Understanding the involved bacterial virulence factors and their mode of action is essential for the development of new therapeutic approaches. In our study we discovered a so far unknown effect of the P. aeruginosa lectin LecB on host cell physiol. LecB alone was sufficient to attenuate migration and proliferation of human lung epithelial cells and to induce transcriptional activity of NF-κB. These effects are characteristic of impaired tissue repair. Moreover, we found a strong degrdn. of β-catenin, which was partially recovered by the proteasome inhibitor lactacystin. In addn., LecB induced loss of cell-cell contacts and reduced expression of the β-catenin targets c-myc and cyclin D1. Blocking of LecB binding to host cell plasma membrane receptors by sol. L-fucose prevented these changes in host cell behavior and signaling, and thereby provides a powerful strategy to suppress LecB function. Our findings suggest that P. aeruginosa employs LecB as a virulence factor to induce β-catenin degrdn., which then represses processes that are directly linked to tissue recovery.
- 24Mitchell, E.; Houles, C.; Sudakevitz, D.; Wimmerova, M.; Gautier, C.; Pérez, S.; Wu, A. M.; Gilboa-Garber, N.; Imberty, A. Nat. Struct. Biol. 2002, 9, 918– 921 DOI: 10.1038/nsb865Google ScholarThere is no corresponding record for this reference.
- 25Hauber, H.-P.; Schulz, M.; Pforte, A.; Mack, D.; Zabel, P.; Schumacher, U. Int. J. Med. Sci. 2008, 5, 371– 376 DOI: 10.7150/ijms.5.371Google Scholar25Inhalation with fucose and galactose for treatment of Pseudomonas aeruginosa in cystic fibrosis patientsHauber, Hans-Peter; Schulz, Maria; Pforte, Almuth; Mack, Dietrich; Zabel, Peter; Schumacher, UdoInternational Journal of Medical Sciences (2008), 5 (6), 371-376CODEN: IJMSGZ; ISSN:1449-1907. (Ivyspring International Publisher)Background: Colonisation of cystic fibrosis (CF) lungs with Pseudomonas aeruginosa is facilitated by two lectins, which bind to the sugar coat of the surface lining epithelia and stop the cilia beating. Objectives: We hypothesized that P. aeruginosa lung infection should be cleared by inhalation of fucose and galactose, which compete for the sugar binding site of the two lectins and thus inhibit the binding of P. aeruginosa. Methods: 11 adult CF patients with chronic infection with P. aeruginosa were treated twice daily with inhalation of a fucose/galactose soln. for 21 days (4 patients only received inhalation, 7 patients received inhalation and i.v. antibiotics). Microbial counts of P. aeruginosa, lung function measurements, and inflammatory markers were detd. before and after treatment. Results: The sugar inhalation was well tolerated and no adverse side effects were obsd. Inhalation alone as well as combined therapy (inhalation and antibiotics) significantly decreased P. aeruginosa in sputum (P < 0.05). Both therapies also significantly reduced TNFα expression in sputum and peripheral blood cells (P < 0.05). No change in lung function measurements was obsd. Conclusions: Inhalation of simple sugars is a safe and effective measure to reduce the P. aeruginosa counts in CF patients. This may provide an alternative therapeutical approach to treat infection with P. aeruginosa.
- 26Bucior, I.; Abbott, J.; Song, Y.; Matthay, M. A.; Engel, J. N. Am. J. Physiol Lung Cell Mol. Physiol 2013, 305, L352– 363 DOI: 10.1152/ajplung.00387.2012Google Scholar26Sugar administration is an effective adjunctive therapy in the treatment of Pseudomonas aeruginosa pneumoniaBucior, Iwona; Abbott, Jason; Song, Yuanlin; Matthay, Michael A.; Engel, Joanne N.American Journal of Physiology (2013), 305 (3, Pt. 1), L352-L363CODEN: AJPHAP; ISSN:0002-9513. (American Physiological Society)Treatment of acute and chronic pulmonary infections caused by opportunistic pathogen Pseudomonas aeruginosa is limited by the increasing frequency of multidrug bacterial resistance. Here, we describe a novel adjunctive therapy in which administration of a mix of simple sugars-mannose, fucose, and galactose-inhibits bacterial attachment, limits lung damage, and potentiates conventional antibiotic therapy. The sugar mixt. inhibits adhesion of nonmucoid and mucoid P. aeruginosa strains to bronchial epithelial cells in vitro. In a murine model of acute pneumonia, treatment with the sugar mixt. alone diminishes lung damage, bacterial dissemination to the subpleural alveoli, and neutrophil- and IL-8-driven inflammatory responses. Remarkably, the sugars act synergistically with anti-Pseudomonas antibiotics, including β-lactams and quinolones, to further reduce bacterial lung colonization and damage. To probe the mechanism, we examd. the effects of sugars in the presence or absence of antibiotics during growth in liq. culture and in an ex vivo infection model utilizing freshly dissected mouse tracheas and lungs. We demonstrate that the sugar mixt. induces rapid but reversible formation of bacterial clusters that exhibited enhanced susceptibility to antibiotics compared with individual bacteria. Our findings reveal that sugar inhalation, an inexpensive and safe therapeutic, could be used in combination with conventional antibiotic therapy to more effectively treat P. aeruginosa lung infections.
- 27Cecioni, S.; Imberty, A.; Vidal, S. Chem. Rev. 2015, 115, 525– 561 DOI: 10.1021/cr500303tGoogle ScholarThere is no corresponding record for this reference.
- 28Bernardi, A.; Jiménez-Barbero, J.; Casnati, A.; De Castro, C.; Darbre, T.; Fieschi, F.; Finne, J.; Funken, H.; Jaeger, K.-E.; Lahmann, M.; Lindhorst, T. K.; Marradi, M.; Messner, P.; Molinaro, A.; Murphy, P. V.; Nativi, C.; Oscarson, S.; Penadés, S.; Peri, F.; Pieters, R. J.; Renaudet, O.; Reymond, J.-L.; Richichi, B.; Rojo, J.; Sansone, F.; Schäffer, C.; Turnbull, W. B.; Velasco-Torrijos, T.; Vidal, S.; Vincent, S.; Wennekes, T.; Zuilhof, H.; Imberty, A. Chem. Soc. Rev. 2013, 42, 4709– 4727 DOI: 10.1039/C2CS35408JGoogle ScholarThere is no corresponding record for this reference.
- 29Johansson, E. M. V.; Crusz, S. A.; Kolomiets, E.; Buts, L.; Kadam, R. U.; Cacciarini, M.; Bartels, K.-M.; Diggle, S. P.; Cámara, M.; Williams, P.; Loris, R.; Nativi, C.; Rosenau, F.; Jaeger, K.-E.; Darbre, T.; Reymond, J.-L. Chem. Biol. 2008, 15, 1249– 1257 DOI: 10.1016/j.chembiol.2008.10.009Google Scholar29Inhibition and Dispersion of Pseudomonas aeruginosa Biofilms by Glycopeptide Dendrimers Targeting the Fucose-Specific Lectin LecBJohansson, Emma M. V.; Crusz, Shanika A.; Kolomiets, Elena; Buts, Lieven; Kadam, Rameshwar U.; Cacciarini, Martina; Bartels, Kai-Malte; Diggle, Stephen P.; Camara, Miguel; Williams, Paul; Loris, Remy; Nativi, Cristina; Rosenau, Frank; Jaeger, Karl-Erich; Darbre, Tamis; Reymond, Jean-LouisChemistry & Biology (Cambridge, MA, United States) (2008), 15 (12), 1249-1257CODEN: CBOLE2; ISSN:1074-5521. (Cell Press)The human pathogenic bacterium Pseudomonas aeruginosa produces a fucose-specific lectin, LecB, implicated in tissue attachment and the formation of biofilms. To investigate if LecB inhibition disrupts these processes, high-affinity ligands were obtained by screening two 15,536-member combinatorial libraries of multivalent fucosyl-peptide dendrimers. The most potent LecB-ligands identified were dendrimers FD2 (C-Fuc-LysProLeu)4(LysPheLysIle)2 LysHisIleNH2 (IC50 = 0.14 μM by ELLA) and PA8 (OFuc-LysAlaAsp)4(LysSerGlyAla)2 LysHisIleNH2 (IC50 = 0.11 μM by ELLA). Dendrimer FD2 led to complete inhibition of P. aeruginosa biofilm formation (IC50 ∼ 10 μM) and induced complete dispersion of established biofilms in the wild-type strain and in several clin. P. aeruginosa isolates. These expts. suggest that LecB inhibition by high-affinity multivalent ligands could represent a therapeutic approach against P. aeruginosa infections by inhibition of biofilm formation and dispersion of established biofilms.
- 30Hauck, D.; Joachim, I.; Frommeyer, B.; Varrot, A.; Philipp, B.; Möller, H. M.; Imberty, A.; Exner, T. E.; Titz, A. ACS Chem. Biol. 2013, 8, 1775– 1784 DOI: 10.1021/cb400371rGoogle ScholarThere is no corresponding record for this reference.
- 31Sommer, R.; Exner, T. E.; Titz, A. PLoS One 2014, 9, e112822 DOI: 10.1371/journal.pone.0112822Google ScholarThere is no corresponding record for this reference.
- 32Sommer, R.; Hauck, D.; Varrot, A.; Wagner, S.; Audfray, A.; Prestel, A.; Möller, H. M.; Imberty, A.; Titz, A. ChemistryOpen 2015, 4, 756– 767 DOI: 10.1002/open.201500162Google ScholarThere is no corresponding record for this reference.
- 33Hofmann, A.; Sommer, R.; Hauck, D.; Stifel, J.; Göttker-Schnetmann, I.; Titz, A. Carbohydr. Res. 2015, 412, 34– 42 DOI: 10.1016/j.carres.2015.04.010Google ScholarThere is no corresponding record for this reference.
- 34Beshr, G.; Sommer, R.; Hauck, D.; Siebert, D. C. B.; Hofmann, A.; Imberty, A.; Titz, A. MedChemComm 2016, 7, 519– 530 DOI: 10.1039/C5MD00557DGoogle ScholarThere is no corresponding record for this reference.
- 35Sabin, C.; Mitchell, E. P.; Pokorná, M.; Gautier, C.; Utille, J.-P.; Wimmerová, M.; Imberty, A. FEBS Lett. 2006, 580, 982– 987 DOI: 10.1016/j.febslet.2006.01.030Google ScholarThere is no corresponding record for this reference.
- 36Tarcsay, A.; Keseru, G. M. Drug Discovery Today 2015, 20, 86– 94 DOI: 10.1016/j.drudis.2014.09.014Google Scholar36Is there a link between selectivity and binding thermodynamics profiles?Tarcsay, Akos; Keseru, Gyorgy M.Drug Discovery Today (2015), 20 (1), 86-94CODEN: DDTOFS; ISSN:1359-6446. (Elsevier Ltd.)A review. Thermodn. of ligand binding is influenced by the interplay between enthalpy and entropy contributions of the binding event. The impact of these binding free energy components, however, is not limited to the primary target only. Here, we investigate the relationship between binding thermodn. and selectivity profiles by combining publicly available data from broad off-target assay profiling and the corresponding thermodn. measurements. Our anal. indicates that compds. binding their primary targets with higher entropy contributions tend to hit more off-targets compared with those ligands that demonstrated enthalpy-driven binding.
- 37Hopkins, A. L.; Keseru, G. M.; Leeson, P. D.; Rees, D. C.; Reynolds, C. H. Nat. Rev. Drug Discovery 2014, 13, 105– 121 DOI: 10.1038/nrd4163Google Scholar37The role of ligand efficiency metrics in drug discoveryHopkins, Andrew L.; Keserue, Gyoergy M.; Leeson, Paul D.; Rees, David C.; Reynolds, Charles H.Nature Reviews Drug Discovery (2014), 13 (2), 105-121CODEN: NRDDAG; ISSN:1474-1776. (Nature Publishing Group)A review. The judicious application of ligand or binding efficiency metrics, which quantify the mol. properties required to obtain binding affinity for a drug target, is gaining traction in the selection and optimization of fragments, hits and leads. Retrospective anal. of recently marketed oral drugs shows that they frequently have highly optimized ligand efficiency values for their targets. Optimizing ligand efficiency metrics based on both mol. mass and lipophilicity, when set in the context of the specific target, has the potential to ameliorate the inflation of these properties that has been obsd. in current medicinal chem. practice, and to increase the quality of drug candidates.
- 38Tummino, P. J.; Copeland, R. A. Biochemistry 2008, 47, 5481– 5492 DOI: 10.1021/bi8002023Google ScholarThere is no corresponding record for this reference.
- 39Perret, S.; Sabin, C.; Dumon, C.; Pokorná, M.; Gautier, C.; Galanina, O.; Ilia, S.; Bovin, N.; Nicaise, M.; Desmadril, M.; Gilboa-Garber, N.; Wimmerová, M.; Mitchell, E. P.; Imberty, A. Biochem. J. 2005, 389, 325– 332 DOI: 10.1042/BJ20050079Google ScholarThere is no corresponding record for this reference.
- 40Loris, R.; Tielker, D.; Jaeger, K.-E.; Wyns, L. J. Mol. Biol. 2003, 331, 861– 870 DOI: 10.1016/S0022-2836(03)00754-XGoogle ScholarThere is no corresponding record for this reference.
- 41Lagendijk, E. L.; Validov, S.; Lamers, G. E. M.; de Weert, S.; Bloemberg, G. V. FEMS Microbiol. Lett. 2010, 305, 81– 90 DOI: 10.1111/j.1574-6968.2010.01916.xGoogle ScholarThere is no corresponding record for this reference.
- 42Mayer, S.; Raulf, M.-K.; Lepenies, B. Histochem. Cell Biol. 2017, 147, 223– 237 DOI: 10.1007/s00418-016-1523-7Google Scholar42C-type lectins: their network and roles in pathogen recognition and immunityMayer, Sabine; Raulf, Marie-Kristin; Lepenies, BerndHistochemistry and Cell Biology (2017), 147 (2), 223-237CODEN: HCBIFP; ISSN:0948-6143. (Springer)C-type lectins (CTLs) represent the most complex family of animal/human lectins that comprises 17 different groups. During evolution, CTLs have developed by diversification to cover a broad range of glycan ligands. However, ligand binding by CTLs is not necessarily restricted to glycans as some CTLs also bind to proteins, lipids, inorg. mols., or ice crystals. CTLs share a common fold that harbors a Ca2+ for contact to the sugar and about 18 invariant residues in a phylogenetically conserved pattern. In vertebrates, CTLs have numerous functions, including serum glycoprotein homeostasis, pathogen sensing, and the initiation of immune responses. Myeloid CTLs in innate immunity are mainly expressed by antigen-presenting cells and play a prominent role in the recognition of a variety of pathogens such as fungi, bacteria, viruses, and parasites. However, myeloid CTLs such as the macrophage inducible CTL (Mincle) or Clec-9a may also bind to self-antigens and thus contribute to immune homeostasis. While some CTLs induce pro-inflammatory responses and thereby lead to activation of adaptive immune responses, other CTLs act as inhibitory receptors and dampen cellular functions. Since CTLs are key players in pathogen recognition and innate immunity, targeting CTLs may be a promising strategy for cell-specific delivery of drugs or vaccine antigens and to modulate immune responses.
- 43Holla, A.; Skerra, A. Protein Eng., Des. Sel. 2011, 24, 659– 669 DOI: 10.1093/protein/gzr016Google Scholar43Comparative analysis reveals selective recognition of glycans by the dendritic cell receptors DC-SIGN and LangerinHolla, Andrea; Skerra, ArneProtein Engineering, Design & Selection (2011), 24 (9), 659-669CODEN: PEDSBR; ISSN:1741-0126. (Oxford University Press)DC-SIGN (dendritic cell-specific ICAM-3 grabbing non-integrin) and Langerin are homologous C-type lectins expressed as cell-surface receptors on different populations of dendritic cells (DCs). DC-SIGN interacts with glycan structures on HIV-1, facilitating virus survival, transmission and infection, whereas Langerin, which is characteristic of Langerhans cells (LCs), promotes HIV-1 uptake and degrdn. Here we describe a comprehensive comparison of the glycan specificities of both proteins by probing a synthetic carbohydrate microarray comprising 275 sugar compds. using the bacterially produced and fluorescence-labeled, monomeric carbohydrate-recognition domains (CRDs) of DC-SIGN and Langerin. In this side-by-side study DC-SIGN was found to preferentially bind internal mannose residues of high-mannose-type saccharides and the fucose-contg. blood-type antigens H, A, B, Lea, Leb Lex, Ley, sialyl-Lea as well as sulfatated derivs. of Lea and Lex. In contrast, Langerin appeared to recognize a different spectrum of compds., esp. those contg. terminal mannose, terminal N-acetylglucosamine and 6-sulfogalactose residues, but also the blood-type antigens H, A and B. Of the Lewis antigens, only Leb, Ley, sialyl-Lea and the sialyl-Lex deriv. with 6'-sulfatation at the galactose (sialyl-6SGal Lex) were weakly bound by Langerin. Notably, Ca2+-independent glycan-binding activity of Langerin could not be detected either by probing the glycan array or by isothermal titrn. calorimetry of the CRD with mannose and mannobiose. The precise knowledge of carbohydrate specificity of DC-SIGN and Langerin receptors resulting from our study may aid the future design of microbicides that specifically affect the DC-SIGN/HIV-1 interaction while not compromising the protective function of Langerin.
- 44Wamhoff, E.-C.; Hanske, J.; Schnirch, L.; Aretz, J.; Grube, M.; Varón Silva, D.; Rademacher, C. ACS Chem. Biol. 2016, 11, 2407– 2413 DOI: 10.1021/acschembio.6b00561Google ScholarThere is no corresponding record for this reference.
- 45Zhang, Y.; Huo, M.; Zhou, J.; Xie, S. Comput. Methods Programs Biomed 2010, 99, 306– 314 DOI: 10.1016/j.cmpb.2010.01.007Google Scholar45PKSolver: An add-in program for pharmacokinetic and pharmacodynamic data analysis in Microsoft ExcelZhang Yong; Huo Meirong; Zhou Jianping; Xie ShaofeiComputer methods and programs in biomedicine (2010), 99 (3), 306-14 ISSN:.This study presents PKSolver, a freely available menu-driven add-in program for Microsoft Excel written in Visual Basic for Applications (VBA), for solving basic problems in pharmacokinetic (PK) and pharmacodynamic (PD) data analysis. The program provides a range of modules for PK and PD analysis including noncompartmental analysis (NCA), compartmental analysis (CA), and pharmacodynamic modeling. Two special built-in modules, multiple absorption sites (MAS) and enterohepatic circulation (EHC), were developed for fitting the double-peak concentration-time profile based on the classical one-compartment model. In addition, twenty frequently used pharmacokinetic functions were encoded as a macro and can be directly accessed in an Excel spreadsheet. To evaluate the program, a detailed comparison of modeling PK data using PKSolver and professional PK/PD software package WinNonlin and Scientist was performed. The results showed that the parameters estimated with PKSolver were satisfactory. In conclusion, the PKSolver simplified the PK and PD data analysis process and its output could be generated in Microsoft Word in the form of an integrated report. The program provides pharmacokinetic researchers with a fast and easy-to-use tool for routine and basic PK and PD data analysis with a more user-friendly interface.
- 46Allen, R. C.; Popat, R.; Diggle, S. P.; Brown, S. P. Nat. Rev. Microbiol. 2014, 12, 300– 308 DOI: 10.1038/nrmicro3232Google Scholar46Targeting virulence: can we make evolution-proof drugs?Allen, Richard C.; Popat, Roman; Diggle, Stephen P.; Brown, Sam P.Nature Reviews Microbiology (2014), 12 (4), 300-308CODEN: NRMACK; ISSN:1740-1526. (Nature Publishing Group)A review and discussion. Antivirulence drugs are a new type of therapeutic drug that target virulence factors, potentially revitalising the drug-development pipeline with new targets. As antivirulence drugs disarm the pathogen, rather than kill or halt pathogen growth, it has been hypothesized that they will generate much weaker selection for resistance than traditional antibiotics. However, recent studies have shown that mechanisms of resistance to antivirulence drugs exist, seemingly damaging the 'evolution-proof' claim. In this Opinion article, we highlight a crucial distinction between whether resistance can emerge and whether it will spread to a high frequency under drug selection. We argue that selection for resistance can be reduced, or even reversed, using appropriate combinations of target and treatment environment, opening a path towards the development of evolutionarily robust novel therapeutics.
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Abstract
Figure 1
Figure 1. Rational design of 6 and 7 as monovalent C-glycosidic glycomimetic LecB inhibitors. Derivatives of methyl α-d-mannoside 1–5 and their inhibitory potency for the binding with LecBPAO1. (30, 31, 35) Moieties colored in blue increase potency by improving binding kinetics. (30, 32) The orange colored methyl group originating from l-fucosides enhances binding to LecB through a lipophilic interaction. (31, 35)
Figure 2
Figure 2. Competitive binding assay of inhibitors with LecBPAO1 and LecBPA14. Means and standard deviations were determined from a minimum of three independent measurements. IC50 values for 1 with both LecB variants and 2a–c, 3a,c and 5 with LecBPAO1 were previously published. (20, 30-32) One representative titration with LecBPA14 is depicted for reference pairs 2b/6b and 3a/7a. Gray arrows indicate the increase in activity for C-glycosides.
Scheme 1
Scheme 1. Synthesis of Structures 6a,b and 7a,baScheme aReagents and conditions: (a) MeNO2, DBU, molecular sieves 3 Å, 1,4-dioxane, 50 °C, 3 days; (b) Pt/C, H2, HCl, MeOH, r.t., 2 days; (c) acyl/sulfonyl chloride or carboxylic acid/EDC·HCl, Et3N, DMF, 0 °C. Yields are given over two steps from nitro derivative 9.
Figure 3
Figure 3. Isothermal titration microcalorimetry of LecBPAO1 and LecBPA14 with ligands 6a and 7a,b. Means and standard deviations were determined from a minimum of three independent titrations. One representative titration graph is depicted for LecBPAO1 only.
Figure 4
Figure 4. Surface plasmon resonance (SPR) analysis of direct binding of 6a or 7a to immobilized LecBPAO1. Experimental data in black; calculated fits using a 1:1 binding model in red.
Figure 5
Figure 5. Crystal structures of LecBPA14 with C-glycoside ligands: (A) Complex with trimethylphenyl sulfonamide 7a (1.65 Å resolution), (B) Complex with thiophene 7b (1.65 Å resolution); For the ligands the 2Fobs – Fcalc electron density is displayed at 1 σ. Ligands and amino acids of the carbohydrate recognition domain (CRD) are depicted as sticks colored by elements (C: gray, N: blue, O: red, S: yellow); protein surface in transparent blue and two Ca2+-ions in the binding sites are shown as green spheres.
Figure 6
Figure 6. Inhibition of biofilm formation by P. aeruginosa after 48 h growth in the presence of compounds 1, 2a, 3a, 6a, 7a,b, or methyl α-l-fucoside (11) at 100 μM. DMSO in absence of compounds was used as control. (A) Quantification of biofilm biomass. Averages and standard deviations of biofilm formation from three independent replicates. Statistical significance was calculated using the students t test. (B) Raw data of confocal fluorescence microscopy 3D images show one representative z-stack per condition.
Figure 7
Figure 7. Binding of C-glycosides 6a and 7a and l-fucose (8) to Langerin as determined in a 19F R2-filtered NMR competitive binding assay.
Figure 8
Figure 8. In vivo pharmacokinetics of 7a and 7b in CD-1 mice. Mean profile (±) SD of plasma (left column) and urine (right column) concentration in mouse versus time after i.v. (top) or p.o. (bottom) administration of compound 7a or 7b in a single dosing experiment (10 mg/kg, n = 3). Dashed line represents the in vitro IC50 range for both candidates with LecBPA14.
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- 13Winzer, K.; Falconer, C.; Garber, N. C.; Diggle, S. P.; Camara, M.; Williams, P. J. Bacteriol. 2000, 182, 6401– 6411 DOI: 10.1128/JB.182.22.6401-6411.200013The Pseudomonas aeruginosa lectins PA-IL and PA-IIL are controlled by quorum sensing and by RpoSWinzer, Klaus; Falconer, Colin; Garber, Nachman C.; Diggle, Stephen P.; Camara, Miguel; Williams, PaulJournal of Bacteriology (2000), 182 (22), 6401-6411CODEN: JOBAAY; ISSN:0021-9193. (American Society for Microbiology)In Pseudomonas aeruginosa, many exoproduct virulence determinants are regulated via a hierarchical quorum-sensing cascade involving the transcriptional regulators LasR and RhlR and their cognate activators, N-(3-oxododecanoyl)-L-homoserine lactone (3O-C12-HSL) and N-butanoyl-L-homoserine lactone (C4-HSL). In this paper, we demonstrate that the cytotoxic lectins PA-IL and PA-IIL are regulated via quorum sensing. Using immunoblot anal., the prodn. of both lectins was found to be directly dependent on the rhl locus while, in a lasR mutant, the onset of lectin synthesis was delayed but not abolished. The PA-IL structural gene, lecA, was cloned and sequenced. Transcript anal. indicated a monocistronic organization with a transcriptional start site 70 bp upstream of the lecA translational start codon. A lux box-type element together with RpoS (σS) consensus sequences was identified upstream of the putative promoter region. In Escherichia coli, expression of a lecA::lux reporter fusion was activated by RhlR/C4-HSL, but not by LasR/3O-C12-HSL, confirming direct regulation by RhlR/C4-HSL. Similarly, in P. aeruginosa PAO1, the expression of a chromosomal lecA::lux fusion was enhanced but not advanced by the addn. of exogenous C4-HSL but not 3O-C12-HSL. Furthermore, mutation of rpoS abolished lectin synthesis in P. aeruginosa, demonstrating that both RpoS and RhlR/C4-HSL are required. Although the C4-HSL-dependent expression of the lecA::lux reporter in E. coli could be inhibited by the presence of 3O-C12-HSL, this did not occur in P. aeruginosa. This suggests that, in the homologous genetic background, 3O-C12-HSL does not function as a posttranslational regulator of the RhlR/C4-HSL-dependent activation of lecA expression.
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- 17Klockgether, J.; Cramer, N.; Wiehlmann, L.; Davenport, C. F.; Tümmler, B. Front. Microbiol. 2011, 2, 150 DOI: 10.3389/fmicb.2011.0015017Pseudomonas aeruginosa genomic structure and diversityKlockgether, Jens; Cramer, Nina; Wiehlmann, Lutz; Davenport, Colin F.; Tuemmler, BurkhardFrontiers in Cellular and Infection Microbiology (2011), 2 (July), 150CODEN: FCIMAB ISSN:. (Frontiers Media S.A.)A review. The Pseudomonas aeruginosa genome (G+C content 65-67%, size 5.5-7 Mbp) is made up of a single circular chromosome and a variable no. of plasmids. Sequencing of complete genomes or blocks of the accessory genome has revealed that the genome encodes a large repertoire of transporters, transcriptional regulators and two-component regulatory systems which reflects its metabolic diversity to utilize a broad range of nutrients. The conserved core component of the genome is largely collinear among P. aeruginosa strains and exhibits an interclonal sequence diversity of 0.5-0.7 %. Only a few loci of the core genome are subject to diversifying selection. Genome diversity is mainly caused by accessory DNA elements located in 79 regions of genome plasticity that are scattered around the genome and show an anomalous usage of mono- to tetradecanucleotides. Genomic islands of the pKLC102/PAGI-2 family that integrate into tRNALys or tRNAGly genes represent hotspots of inter- and intra-clonal genomic diversity. The individual islands differ in their repertoire of metabolic genes that make a large contribution to the pangenome. In order to unravel intraclonal diversity of P. aeruginosa, the genomes of two members of the PA14 clonal complex from diverse habitats and geog. origin were compared. The genome sequences differed by less than 0.01% from each other. 198 Of the 231 SNPs were non-randomly distributed in the genome. Non-synonymous SNPs were mainly found in an integrated Pf1-like phage and in genes involved in transcriptional regulation, membrane and extracellular constituents, transport and secretion. In summary, P. aeruginosa is endowed with a highly conserved core genome of low sequence diversity and a highly variable accessory genome that communicates with other pseudomonads and genera via horizontal gene transfer.
- 18Dötsch, A.; Schniederjans, M.; Khaledi, A.; Hornischer, K.; Schulz, S.; Bielecka, A.; Eckweiler, D.; Pohl, S.; Häussler, S. mBio 2015, 6, e00749-15 DOI: 10.1128/mBio.00749-15There is no corresponding record for this reference.
- 19Boukerb, A. M.; Decor, A.; Ribun, S.; Tabaroni, R.; Rousset, A.; Commin, L.; Buff, S.; Doléans-Jordheim, A.; Vidal, S.; Varrot, A.; Imberty, A.; Cournoyer, B. Front. Microbiol. 2016, 7, 811 DOI: 10.3389/fmicb.2016.0081119Genomic Rearrangements and Functional Diversification of lecA and lecB Lectin-Coding Regions Impacting the Efficacy of Glycomimetics Directed against Pseudomonas aeruginosaBoukerb Amine M; Ribun Sebastien; Doleans-Jordheim Anne; Cournoyer Benoit; Decor Aude; Tabaroni Rachel; Varrot Annabelle; Imberty Anne; Rousset Audric; Vidal Sebastien; Commin Loris; Buff SamuelFrontiers in microbiology (2016), 7 (), 811 ISSN:1664-302X.LecA and LecB tetrameric lectins take part in oligosaccharide-mediated adhesion-processes of Pseudomonas aeruginosa. Glycomimetics have been designed to block these interactions. The great versatility of P. aeruginosa suggests that the range of application of these glycomimetics could be restricted to genotypes with particular lectin types. The likelihood of having genomic and genetic changes impacting LecA and LecB interactions with glycomimetics such as galactosylated and fucosylated calix[4]arene was investigated over a collection of strains from the main clades of P. aeruginosa. Lectin types were defined, and their ligand specificities were inferred. These analyses showed a loss of lecA among the PA7 clade. Genomic changes impacting lec loci were thus assessed using strains of this clade, and by making comparisons with the PAO1 genome. The lecA regions were found challenged by phage attacks and PAGI-2 (genomic island) integrations. A prophage was linked to the loss of lecA. The lecB regions were found less impacted by such rearrangements but greater lecB than lecA genetic divergences were recorded. Sixteen combinations of LecA and LecB types were observed. Amino acid variations were mapped on PAO1 crystal structures. Most significant changes were observed on LecBPA7, and found close to the fucose binding site. Glycan array analyses were performed with purified LecBPA7. LecBPA7 was found less specific for fucosylated oligosaccharides than LecBPAO1, with a preference for H type 2 rather than type 1, and Lewis(a) rather than Lewis(x). Comparison of the crystal structures of LecBPA7 and LecBPAO1 in complex with Lewis(a) showed these changes in specificity to have resulted from a modification of the water network between the lectin, galactose and GlcNAc residues. Incidence of these modifications on the interactions with calix[4]arene glycomimetics at the cell level was investigated. An aggregation test was used to establish the efficacy of these ligands. Great variations in the responses were observed. Glycomimetics directed against LecB yielded the highest numbers of aggregates for strains from all clades. The use of a PAO1ΔlecB strain confirmed a role of LecB in this aggregation phenotype. Fucosylated calix[4]arene showed the greatest potential for a use in the prevention of P. aeruginosa infections.
- 20Sommer, R.; Wagner, S.; Varrot, A.; Nycholat, C. M.; Khaledi, A.; Haussler, S.; Paulson, J. C.; Imberty, A.; Titz, A. Chem. Sci. 2016, 7, 4990– 5001 DOI: 10.1039/C6SC00696E20The virulence factor LecB varies in clinical isolates: consequences for ligand binding and drug discoverySommer, Roman; Wagner, Stefanie; Varrot, Annabelle; Nycholat, Corwin M.; Khaledi, Ariane; Haeussler, Susanne; Paulson, James C.; Imberty, Anne; Titz, AlexanderChemical Science (2016), 7 (8), 4990-5001CODEN: CSHCCN; ISSN:2041-6520. (Royal Society of Chemistry)P. aeruginosa causes a substantial no. of nosocomial infections and is the leading cause of death of cystic fibrosis patients. This Gram-neg. bacterium is highly resistant against antibiotics and further protects itself by forming a biofilm. Moreover, a high genomic variability among clin. isolates complicates therapy. Its lectin LecB is a virulence factor and necessary for adhesion and biofilm formation. The authors analyzed the sequence of LecB variants in a library of clin. isolates and demonstrate that it can serve as a marker for strain family classification. LecB from the highly virulent model strain PA14 presents 13% sequence divergence with LecB from the well characterized PAO1 strain. These differences might result in differing ligand binding specificities and ultimately in reduced efficacy of drugs directed towards LecB. Despite several amino acid variations at the carbohydrate binding site, glycan array anal. showed a comparable binding pattern for both variants. A common high affinity ligand could be identified and after its chemoenzymic synthesis verified in a competitive binding assay: an N-glycan presenting two blood group O epitopes (H-type 2 antigen). Mol. modeling of the complex suggests a bivalent interaction of the ligand with the LecB tetramer by bridging two sep. binding sites. This binding rationalizes the strong avidity (35 nM) of LecBPA14 to this human fucosylated N-glycan. Biochem. evaluation of a panel of glycan ligands revealed that LecBPA14 demonstrated higher glycan affinity compared to LecBPAO1 including the extraordinarily potent affinity of 70 nM towards the monovalent human antigen Lewisa. The structural basis of this unusual high affinity ligand binding for lectins was rationalized by solving the protein crystal structures of LecBPA14 with several glycans.
- 21Boukerb, A. M.; Rousset, A.; Galanos, N.; Méar, J.-B.; Thepaut, M.; Grandjean, T.; Gillon, E.; Cecioni, S.; Abderrahmen, C.; Faure, K.; Redelberger, D.; Kipnis, E.; Dessein, R.; Havet, S.; Darblade, B.; Matthews, S. E.; de Bentzmann, S.; Guéry, B.; Cournoyer, B.; Imberty, A.; Vidal, S. J. Med. Chem. 2014, 57, 10275– 10289 DOI: 10.1021/jm500038pThere is no corresponding record for this reference.
- 22Chemani, C.; Imberty, A.; de Bentzmann, S.; Pierre, M.; Wimmerová, M.; Guery, B. P.; Faure, K. Infect. Immun. 2009, 77, 2065– 2075 DOI: 10.1128/IAI.01204-0822Role of LecA and LecB lectins in Pseudomonas aeruginosa-induced lung injury and effect of carbohydrate ligandsChemani, Chanez; Imberty, Anne; de Bentzmann, Sophie; Pierre, Maud; Wimmerova, Michaela; Guery, Benoit P.; Faure, KarineInfection and Immunity (2009), 77 (5), 2065-2075CODEN: INFIBR; ISSN:0019-9567. (American Society for Microbiology)Pseudomonas aeruginosa is a frequently encountered pathogen that is involved in acute and chronic lung infections. Lectin-mediated bacterium-cell recognition and adhesion are crit. steps in initiating P. aeruginosa pathogenesis. This study was designed to evaluate the contributions of LecA and LecB to the pathogenesis of P. aeruginosa-mediated acute lung injury. Using an in vitro model with A549 cells and an exptl. in vivo murine model of acute lung injury, we compared the parental strain to lecA and lecB mutants. The effects of both LecA- and LecB-specific lectin-inhibiting carbohydrates (α-methyl-galactoside and α-methyl-fucoside, resp.) were evaluated. In vitro, the parental strain was assocd. with increased cytotoxicity and adhesion on A549 cells compared to the lecA and lecB mutants. In vivo, the P. aeruginosa-induced increase in alveolar barrier permeability was reduced with both mutants. The bacterial burden and dissemination were decreased for both mutants compared with the parental strain. Coadministration of specific lectin inhibitors markedly reduced lung injury and mortality. Our results demonstrate that there is a relationship between lectins and the pathogenicity of P. aeruginosa. Inhibition of the lectins by specific carbohydrates may provide new therapeutic perspectives.
- 23Cott, C.; Thuenauer, R.; Landi, A.; Kühn, K.; Juillot, S.; Imberty, A.; Madl, J.; Eierhoff, T.; Römer, W. Biochim. Biophys. Acta, Mol. Cell Res. 2016, 1863, 1106– 1118 DOI: 10.1016/j.bbamcr.2016.02.00423Pseudomonas aeruginosa lectin LecB inhibits tissue repair processes by triggering β-catenin degradationCott, Catherine; Thuenauer, Roland; Landi, Alessia; Kuehn, Katja; Juillot, Samuel; Imberty, Anne; Madl, Josef; Eierhoff, Thorsten; Roemer, WinfriedBiochimica et Biophysica Acta, Molecular Cell Research (2016), 1863 (6_Part_A), 1106-1118CODEN: BBAMCO; ISSN:0167-4889. (Elsevier B.V.)Pseudomonas aeruginosa is an opportunistic pathogen that induces severe lung infections such as ventilator-assocd. pneumonia and acute lung injury. Under these conditions, the bacterium diminishes epithelial integrity and inhibits tissue repair mechanisms, leading to persistent infections. Understanding the involved bacterial virulence factors and their mode of action is essential for the development of new therapeutic approaches. In our study we discovered a so far unknown effect of the P. aeruginosa lectin LecB on host cell physiol. LecB alone was sufficient to attenuate migration and proliferation of human lung epithelial cells and to induce transcriptional activity of NF-κB. These effects are characteristic of impaired tissue repair. Moreover, we found a strong degrdn. of β-catenin, which was partially recovered by the proteasome inhibitor lactacystin. In addn., LecB induced loss of cell-cell contacts and reduced expression of the β-catenin targets c-myc and cyclin D1. Blocking of LecB binding to host cell plasma membrane receptors by sol. L-fucose prevented these changes in host cell behavior and signaling, and thereby provides a powerful strategy to suppress LecB function. Our findings suggest that P. aeruginosa employs LecB as a virulence factor to induce β-catenin degrdn., which then represses processes that are directly linked to tissue recovery.
- 24Mitchell, E.; Houles, C.; Sudakevitz, D.; Wimmerova, M.; Gautier, C.; Pérez, S.; Wu, A. M.; Gilboa-Garber, N.; Imberty, A. Nat. Struct. Biol. 2002, 9, 918– 921 DOI: 10.1038/nsb865There is no corresponding record for this reference.
- 25Hauber, H.-P.; Schulz, M.; Pforte, A.; Mack, D.; Zabel, P.; Schumacher, U. Int. J. Med. Sci. 2008, 5, 371– 376 DOI: 10.7150/ijms.5.37125Inhalation with fucose and galactose for treatment of Pseudomonas aeruginosa in cystic fibrosis patientsHauber, Hans-Peter; Schulz, Maria; Pforte, Almuth; Mack, Dietrich; Zabel, Peter; Schumacher, UdoInternational Journal of Medical Sciences (2008), 5 (6), 371-376CODEN: IJMSGZ; ISSN:1449-1907. (Ivyspring International Publisher)Background: Colonisation of cystic fibrosis (CF) lungs with Pseudomonas aeruginosa is facilitated by two lectins, which bind to the sugar coat of the surface lining epithelia and stop the cilia beating. Objectives: We hypothesized that P. aeruginosa lung infection should be cleared by inhalation of fucose and galactose, which compete for the sugar binding site of the two lectins and thus inhibit the binding of P. aeruginosa. Methods: 11 adult CF patients with chronic infection with P. aeruginosa were treated twice daily with inhalation of a fucose/galactose soln. for 21 days (4 patients only received inhalation, 7 patients received inhalation and i.v. antibiotics). Microbial counts of P. aeruginosa, lung function measurements, and inflammatory markers were detd. before and after treatment. Results: The sugar inhalation was well tolerated and no adverse side effects were obsd. Inhalation alone as well as combined therapy (inhalation and antibiotics) significantly decreased P. aeruginosa in sputum (P < 0.05). Both therapies also significantly reduced TNFα expression in sputum and peripheral blood cells (P < 0.05). No change in lung function measurements was obsd. Conclusions: Inhalation of simple sugars is a safe and effective measure to reduce the P. aeruginosa counts in CF patients. This may provide an alternative therapeutical approach to treat infection with P. aeruginosa.
- 26Bucior, I.; Abbott, J.; Song, Y.; Matthay, M. A.; Engel, J. N. Am. J. Physiol Lung Cell Mol. Physiol 2013, 305, L352– 363 DOI: 10.1152/ajplung.00387.201226Sugar administration is an effective adjunctive therapy in the treatment of Pseudomonas aeruginosa pneumoniaBucior, Iwona; Abbott, Jason; Song, Yuanlin; Matthay, Michael A.; Engel, Joanne N.American Journal of Physiology (2013), 305 (3, Pt. 1), L352-L363CODEN: AJPHAP; ISSN:0002-9513. (American Physiological Society)Treatment of acute and chronic pulmonary infections caused by opportunistic pathogen Pseudomonas aeruginosa is limited by the increasing frequency of multidrug bacterial resistance. Here, we describe a novel adjunctive therapy in which administration of a mix of simple sugars-mannose, fucose, and galactose-inhibits bacterial attachment, limits lung damage, and potentiates conventional antibiotic therapy. The sugar mixt. inhibits adhesion of nonmucoid and mucoid P. aeruginosa strains to bronchial epithelial cells in vitro. In a murine model of acute pneumonia, treatment with the sugar mixt. alone diminishes lung damage, bacterial dissemination to the subpleural alveoli, and neutrophil- and IL-8-driven inflammatory responses. Remarkably, the sugars act synergistically with anti-Pseudomonas antibiotics, including β-lactams and quinolones, to further reduce bacterial lung colonization and damage. To probe the mechanism, we examd. the effects of sugars in the presence or absence of antibiotics during growth in liq. culture and in an ex vivo infection model utilizing freshly dissected mouse tracheas and lungs. We demonstrate that the sugar mixt. induces rapid but reversible formation of bacterial clusters that exhibited enhanced susceptibility to antibiotics compared with individual bacteria. Our findings reveal that sugar inhalation, an inexpensive and safe therapeutic, could be used in combination with conventional antibiotic therapy to more effectively treat P. aeruginosa lung infections.
- 27Cecioni, S.; Imberty, A.; Vidal, S. Chem. Rev. 2015, 115, 525– 561 DOI: 10.1021/cr500303tThere is no corresponding record for this reference.
- 28Bernardi, A.; Jiménez-Barbero, J.; Casnati, A.; De Castro, C.; Darbre, T.; Fieschi, F.; Finne, J.; Funken, H.; Jaeger, K.-E.; Lahmann, M.; Lindhorst, T. K.; Marradi, M.; Messner, P.; Molinaro, A.; Murphy, P. V.; Nativi, C.; Oscarson, S.; Penadés, S.; Peri, F.; Pieters, R. J.; Renaudet, O.; Reymond, J.-L.; Richichi, B.; Rojo, J.; Sansone, F.; Schäffer, C.; Turnbull, W. B.; Velasco-Torrijos, T.; Vidal, S.; Vincent, S.; Wennekes, T.; Zuilhof, H.; Imberty, A. Chem. Soc. Rev. 2013, 42, 4709– 4727 DOI: 10.1039/C2CS35408JThere is no corresponding record for this reference.
- 29Johansson, E. M. V.; Crusz, S. A.; Kolomiets, E.; Buts, L.; Kadam, R. U.; Cacciarini, M.; Bartels, K.-M.; Diggle, S. P.; Cámara, M.; Williams, P.; Loris, R.; Nativi, C.; Rosenau, F.; Jaeger, K.-E.; Darbre, T.; Reymond, J.-L. Chem. Biol. 2008, 15, 1249– 1257 DOI: 10.1016/j.chembiol.2008.10.00929Inhibition and Dispersion of Pseudomonas aeruginosa Biofilms by Glycopeptide Dendrimers Targeting the Fucose-Specific Lectin LecBJohansson, Emma M. V.; Crusz, Shanika A.; Kolomiets, Elena; Buts, Lieven; Kadam, Rameshwar U.; Cacciarini, Martina; Bartels, Kai-Malte; Diggle, Stephen P.; Camara, Miguel; Williams, Paul; Loris, Remy; Nativi, Cristina; Rosenau, Frank; Jaeger, Karl-Erich; Darbre, Tamis; Reymond, Jean-LouisChemistry & Biology (Cambridge, MA, United States) (2008), 15 (12), 1249-1257CODEN: CBOLE2; ISSN:1074-5521. (Cell Press)The human pathogenic bacterium Pseudomonas aeruginosa produces a fucose-specific lectin, LecB, implicated in tissue attachment and the formation of biofilms. To investigate if LecB inhibition disrupts these processes, high-affinity ligands were obtained by screening two 15,536-member combinatorial libraries of multivalent fucosyl-peptide dendrimers. The most potent LecB-ligands identified were dendrimers FD2 (C-Fuc-LysProLeu)4(LysPheLysIle)2 LysHisIleNH2 (IC50 = 0.14 μM by ELLA) and PA8 (OFuc-LysAlaAsp)4(LysSerGlyAla)2 LysHisIleNH2 (IC50 = 0.11 μM by ELLA). Dendrimer FD2 led to complete inhibition of P. aeruginosa biofilm formation (IC50 ∼ 10 μM) and induced complete dispersion of established biofilms in the wild-type strain and in several clin. P. aeruginosa isolates. These expts. suggest that LecB inhibition by high-affinity multivalent ligands could represent a therapeutic approach against P. aeruginosa infections by inhibition of biofilm formation and dispersion of established biofilms.
- 30Hauck, D.; Joachim, I.; Frommeyer, B.; Varrot, A.; Philipp, B.; Möller, H. M.; Imberty, A.; Exner, T. E.; Titz, A. ACS Chem. Biol. 2013, 8, 1775– 1784 DOI: 10.1021/cb400371rThere is no corresponding record for this reference.
- 31Sommer, R.; Exner, T. E.; Titz, A. PLoS One 2014, 9, e112822 DOI: 10.1371/journal.pone.0112822There is no corresponding record for this reference.
- 32Sommer, R.; Hauck, D.; Varrot, A.; Wagner, S.; Audfray, A.; Prestel, A.; Möller, H. M.; Imberty, A.; Titz, A. ChemistryOpen 2015, 4, 756– 767 DOI: 10.1002/open.201500162There is no corresponding record for this reference.
- 33Hofmann, A.; Sommer, R.; Hauck, D.; Stifel, J.; Göttker-Schnetmann, I.; Titz, A. Carbohydr. Res. 2015, 412, 34– 42 DOI: 10.1016/j.carres.2015.04.010There is no corresponding record for this reference.
- 34Beshr, G.; Sommer, R.; Hauck, D.; Siebert, D. C. B.; Hofmann, A.; Imberty, A.; Titz, A. MedChemComm 2016, 7, 519– 530 DOI: 10.1039/C5MD00557DThere is no corresponding record for this reference.
- 35Sabin, C.; Mitchell, E. P.; Pokorná, M.; Gautier, C.; Utille, J.-P.; Wimmerová, M.; Imberty, A. FEBS Lett. 2006, 580, 982– 987 DOI: 10.1016/j.febslet.2006.01.030There is no corresponding record for this reference.
- 36Tarcsay, A.; Keseru, G. M. Drug Discovery Today 2015, 20, 86– 94 DOI: 10.1016/j.drudis.2014.09.01436Is there a link between selectivity and binding thermodynamics profiles?Tarcsay, Akos; Keseru, Gyorgy M.Drug Discovery Today (2015), 20 (1), 86-94CODEN: DDTOFS; ISSN:1359-6446. (Elsevier Ltd.)A review. Thermodn. of ligand binding is influenced by the interplay between enthalpy and entropy contributions of the binding event. The impact of these binding free energy components, however, is not limited to the primary target only. Here, we investigate the relationship between binding thermodn. and selectivity profiles by combining publicly available data from broad off-target assay profiling and the corresponding thermodn. measurements. Our anal. indicates that compds. binding their primary targets with higher entropy contributions tend to hit more off-targets compared with those ligands that demonstrated enthalpy-driven binding.
- 37Hopkins, A. L.; Keseru, G. M.; Leeson, P. D.; Rees, D. C.; Reynolds, C. H. Nat. Rev. Drug Discovery 2014, 13, 105– 121 DOI: 10.1038/nrd416337The role of ligand efficiency metrics in drug discoveryHopkins, Andrew L.; Keserue, Gyoergy M.; Leeson, Paul D.; Rees, David C.; Reynolds, Charles H.Nature Reviews Drug Discovery (2014), 13 (2), 105-121CODEN: NRDDAG; ISSN:1474-1776. (Nature Publishing Group)A review. The judicious application of ligand or binding efficiency metrics, which quantify the mol. properties required to obtain binding affinity for a drug target, is gaining traction in the selection and optimization of fragments, hits and leads. Retrospective anal. of recently marketed oral drugs shows that they frequently have highly optimized ligand efficiency values for their targets. Optimizing ligand efficiency metrics based on both mol. mass and lipophilicity, when set in the context of the specific target, has the potential to ameliorate the inflation of these properties that has been obsd. in current medicinal chem. practice, and to increase the quality of drug candidates.
- 38Tummino, P. J.; Copeland, R. A. Biochemistry 2008, 47, 5481– 5492 DOI: 10.1021/bi8002023There is no corresponding record for this reference.
- 39Perret, S.; Sabin, C.; Dumon, C.; Pokorná, M.; Gautier, C.; Galanina, O.; Ilia, S.; Bovin, N.; Nicaise, M.; Desmadril, M.; Gilboa-Garber, N.; Wimmerová, M.; Mitchell, E. P.; Imberty, A. Biochem. J. 2005, 389, 325– 332 DOI: 10.1042/BJ20050079There is no corresponding record for this reference.
- 40Loris, R.; Tielker, D.; Jaeger, K.-E.; Wyns, L. J. Mol. Biol. 2003, 331, 861– 870 DOI: 10.1016/S0022-2836(03)00754-XThere is no corresponding record for this reference.
- 41Lagendijk, E. L.; Validov, S.; Lamers, G. E. M.; de Weert, S.; Bloemberg, G. V. FEMS Microbiol. Lett. 2010, 305, 81– 90 DOI: 10.1111/j.1574-6968.2010.01916.xThere is no corresponding record for this reference.
- 42Mayer, S.; Raulf, M.-K.; Lepenies, B. Histochem. Cell Biol. 2017, 147, 223– 237 DOI: 10.1007/s00418-016-1523-742C-type lectins: their network and roles in pathogen recognition and immunityMayer, Sabine; Raulf, Marie-Kristin; Lepenies, BerndHistochemistry and Cell Biology (2017), 147 (2), 223-237CODEN: HCBIFP; ISSN:0948-6143. (Springer)C-type lectins (CTLs) represent the most complex family of animal/human lectins that comprises 17 different groups. During evolution, CTLs have developed by diversification to cover a broad range of glycan ligands. However, ligand binding by CTLs is not necessarily restricted to glycans as some CTLs also bind to proteins, lipids, inorg. mols., or ice crystals. CTLs share a common fold that harbors a Ca2+ for contact to the sugar and about 18 invariant residues in a phylogenetically conserved pattern. In vertebrates, CTLs have numerous functions, including serum glycoprotein homeostasis, pathogen sensing, and the initiation of immune responses. Myeloid CTLs in innate immunity are mainly expressed by antigen-presenting cells and play a prominent role in the recognition of a variety of pathogens such as fungi, bacteria, viruses, and parasites. However, myeloid CTLs such as the macrophage inducible CTL (Mincle) or Clec-9a may also bind to self-antigens and thus contribute to immune homeostasis. While some CTLs induce pro-inflammatory responses and thereby lead to activation of adaptive immune responses, other CTLs act as inhibitory receptors and dampen cellular functions. Since CTLs are key players in pathogen recognition and innate immunity, targeting CTLs may be a promising strategy for cell-specific delivery of drugs or vaccine antigens and to modulate immune responses.
- 43Holla, A.; Skerra, A. Protein Eng., Des. Sel. 2011, 24, 659– 669 DOI: 10.1093/protein/gzr01643Comparative analysis reveals selective recognition of glycans by the dendritic cell receptors DC-SIGN and LangerinHolla, Andrea; Skerra, ArneProtein Engineering, Design & Selection (2011), 24 (9), 659-669CODEN: PEDSBR; ISSN:1741-0126. (Oxford University Press)DC-SIGN (dendritic cell-specific ICAM-3 grabbing non-integrin) and Langerin are homologous C-type lectins expressed as cell-surface receptors on different populations of dendritic cells (DCs). DC-SIGN interacts with glycan structures on HIV-1, facilitating virus survival, transmission and infection, whereas Langerin, which is characteristic of Langerhans cells (LCs), promotes HIV-1 uptake and degrdn. Here we describe a comprehensive comparison of the glycan specificities of both proteins by probing a synthetic carbohydrate microarray comprising 275 sugar compds. using the bacterially produced and fluorescence-labeled, monomeric carbohydrate-recognition domains (CRDs) of DC-SIGN and Langerin. In this side-by-side study DC-SIGN was found to preferentially bind internal mannose residues of high-mannose-type saccharides and the fucose-contg. blood-type antigens H, A, B, Lea, Leb Lex, Ley, sialyl-Lea as well as sulfatated derivs. of Lea and Lex. In contrast, Langerin appeared to recognize a different spectrum of compds., esp. those contg. terminal mannose, terminal N-acetylglucosamine and 6-sulfogalactose residues, but also the blood-type antigens H, A and B. Of the Lewis antigens, only Leb, Ley, sialyl-Lea and the sialyl-Lex deriv. with 6'-sulfatation at the galactose (sialyl-6SGal Lex) were weakly bound by Langerin. Notably, Ca2+-independent glycan-binding activity of Langerin could not be detected either by probing the glycan array or by isothermal titrn. calorimetry of the CRD with mannose and mannobiose. The precise knowledge of carbohydrate specificity of DC-SIGN and Langerin receptors resulting from our study may aid the future design of microbicides that specifically affect the DC-SIGN/HIV-1 interaction while not compromising the protective function of Langerin.
- 44Wamhoff, E.-C.; Hanske, J.; Schnirch, L.; Aretz, J.; Grube, M.; Varón Silva, D.; Rademacher, C. ACS Chem. Biol. 2016, 11, 2407– 2413 DOI: 10.1021/acschembio.6b00561There is no corresponding record for this reference.
- 45Zhang, Y.; Huo, M.; Zhou, J.; Xie, S. Comput. Methods Programs Biomed 2010, 99, 306– 314 DOI: 10.1016/j.cmpb.2010.01.00745PKSolver: An add-in program for pharmacokinetic and pharmacodynamic data analysis in Microsoft ExcelZhang Yong; Huo Meirong; Zhou Jianping; Xie ShaofeiComputer methods and programs in biomedicine (2010), 99 (3), 306-14 ISSN:.This study presents PKSolver, a freely available menu-driven add-in program for Microsoft Excel written in Visual Basic for Applications (VBA), for solving basic problems in pharmacokinetic (PK) and pharmacodynamic (PD) data analysis. The program provides a range of modules for PK and PD analysis including noncompartmental analysis (NCA), compartmental analysis (CA), and pharmacodynamic modeling. Two special built-in modules, multiple absorption sites (MAS) and enterohepatic circulation (EHC), were developed for fitting the double-peak concentration-time profile based on the classical one-compartment model. In addition, twenty frequently used pharmacokinetic functions were encoded as a macro and can be directly accessed in an Excel spreadsheet. To evaluate the program, a detailed comparison of modeling PK data using PKSolver and professional PK/PD software package WinNonlin and Scientist was performed. The results showed that the parameters estimated with PKSolver were satisfactory. In conclusion, the PKSolver simplified the PK and PD data analysis process and its output could be generated in Microsoft Word in the form of an integrated report. The program provides pharmacokinetic researchers with a fast and easy-to-use tool for routine and basic PK and PD data analysis with a more user-friendly interface.
- 46Allen, R. C.; Popat, R.; Diggle, S. P.; Brown, S. P. Nat. Rev. Microbiol. 2014, 12, 300– 308 DOI: 10.1038/nrmicro323246Targeting virulence: can we make evolution-proof drugs?Allen, Richard C.; Popat, Roman; Diggle, Stephen P.; Brown, Sam P.Nature Reviews Microbiology (2014), 12 (4), 300-308CODEN: NRMACK; ISSN:1740-1526. (Nature Publishing Group)A review and discussion. Antivirulence drugs are a new type of therapeutic drug that target virulence factors, potentially revitalising the drug-development pipeline with new targets. As antivirulence drugs disarm the pathogen, rather than kill or halt pathogen growth, it has been hypothesized that they will generate much weaker selection for resistance than traditional antibiotics. However, recent studies have shown that mechanisms of resistance to antivirulence drugs exist, seemingly damaging the 'evolution-proof' claim. In this Opinion article, we highlight a crucial distinction between whether resistance can emerge and whether it will spread to a high frequency under drug selection. We argue that selection for resistance can be reduced, or even reversed, using appropriate combinations of target and treatment environment, opening a path towards the development of evolutionarily robust novel therapeutics.
Supporting Information
Supporting Information
The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/jacs.7b11133.
Experimental details and 1H and 13C spectra of new compounds; ITC titration data; X-ray data collection and refinement statistics; crystal structures showing ligand alignment and crystal packing effects; correlation of fluorescence intensities with cfu and OD600 measurements; effects of compounds on total fluorescence intensities; calculated lipophilicity of selected compounds; analysis of TNF-α concentration after stimulation of mouse spleen cells with and without test compounds; microsomal intrinsic clearance (CLint) of 3a, 3b, and C-glycosides 7 in mouse and human liver microsomes; stability of LecB ligands in mouse plasma; m/z search window for plasma stability assay; toxicity of LecB ligands to human liver Hep G2 cells; accuracy, quantification limits, and lower limit of qualification for 7a and 7b in plasma, urine, and kidney matrix; mass spectrometric conditions used for quantification and qualification of 7a, 7b, and the internal standard glipizide; PK parameters of 7a and 7b in mice (PDF)
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