5 research outputs found

    Targeting resistance genes with <i>acrA</i>-PPMO increases efficacy of antibiotic combinations and even makes the use of antagonistic antibiotic pairs possible.

    No full text
    <p>(A) Conceptual representation of the possible effects of efflux inhibition on the use of antibiotics pairs. Blue and black lines represent the MIC lines in two-dimensional gradients of drug pairs for bacteria with and without <i>acrA</i>-PPMO, respectively. The left panel represents an increase in susceptibility to antibiotic B, the middle panel represents an increase to antibiotic A, and the right panel represents an increase to both antibiotics. (B) MIC lines determined in two-dimensional gradients of (left) trimethoprim-sulfamethoxazole and (right) trimethoprim-piperacillin/tazobactam for wild type <i>E</i>. <i>coli</i> (black line), with 10 μM <i>acrA</i>-PPMO (blue line), or the <i>acrA</i> deletion mutant (cyan line). (C) Bar graphs demonstrating the efficacy of antibiotic combinations shown in (B). Area under the MIC curves in (B) are significantly reduced relative to the wild type <i>E</i>. <i>coli</i> (bars with black diagonal lines) for both antibiotic combinations when 10 μM <i>acrA</i>-PPMO (blue bars) is used or <i>acrA</i> (cyan bars) is physically deleted. All measurements were done in triplicate, and <i>p</i>-values for significance were calculated with Student’s <i>t</i>-test.</p

    Targeting the genes that encode for the AcrAB-TolC efflux pump complex increases antibiotic susceptibility.

    No full text
    <p>(A) Cartoon representation of the AcrAB-TolC efflux system based on available crystal structures (PDB IDs: AcrA-2f1m, AcrB-2dhh, and TolC-1ek9). IM: Inner Membrane; OM: Outer Membrane. (B) PPMOs are antisense molecules that bind to complementary mRNAs and sterically interfere with their translation. Silencing resistance-conferring genes with this strategy leads to antibiotic susceptibility. (C) We have engineered three separate PPMOs in order to target the <i>acrA</i> (blue), <i>acrB</i> (magenta), and <i>tolC</i> (green) genes. These PPMOs target gene regions that span the start codons of the transcribed mRNA. Alignment of the <i>acrA</i>, <i>acrB</i>, and <i>tolC</i> genes of different bacterial genera demonstrate that the PPMO sequences, designed for <i>E</i>. <i>coli</i>, are also complementary in other pathogens. The overlapping nucleotides between the gene sequences and the PPMOs are highlighted in color. The PPMO sequences are homologous in <i>Klebsiella pneumoniae</i> and <i>Salmonella enterica</i> genes but have limited homology to the remaining bacterial species. (D) Growth of bacteria is quantified by calculating the area under the curve (AUC), which is simply integrating OD600 from 0 to 24 h (Materials and Methods). Area under the black (circles) and cyan lines (triangles) correspond to the growth of the wild type and <i>acrA</i> deletion <i>E</i>. <i>coli</i> strains, respectively, in a subinhibitory dose of clindamycin. (E) (Left) Dose response curves as a function of clindamycin concentration. Dose response curves are generated using the AUC values. Curves are labeled as untreated wild type <i>E</i>. <i>coli</i> (black lines, empty circles), with 10 μM control-PPMO (grey lines, filled circles), with 10 μM <i>acrA</i>-PPMO (top panel, blue lines, filled squares), <i>E</i>. <i>coli</i> with <i>acrA</i> deletion (top panel, cyan lines, empty triangles), with 10 μM <i>acrB</i>-PPMO (middle panel, magenta lines, filled squares), <i>E</i>. <i>coli</i> with <i>acrB</i> deletion (middle panel, pink lines, empty triangles), with 10 μM <i>tolC</i>-PPMO (bottom panel, dark green lines, filled squares), and <i>E</i>. <i>coli</i> with <i>tolC</i> deletion (bottom panel, light green lines, empty triangles). The horizontal dashed lines represent 95% growth inhibition, while the vertical lines represent the MIC value for WT. (Right) Sample OD600 versus time growth curves at the conditions shown within the grey shaded areas on the dose response curves (Left). Each line is interpolated, integrated and the AUC is normalized to the wild type growth in the absence of clindamycin. Dose response curves and corresponding MIC values for all 11 antibiotics may be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002552#pbio.1002552.s004" target="_blank">S4 Fig</a> and <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002552#pbio.1002552.s008" target="_blank">S2 Table</a>, respectively.</p

    <i>acrA</i>-PPMO blocks <i>acrA</i> translation in a dose-dependent fashion and is nontoxic to HBEC3KT human cells.

    No full text
    <p>(A) AcrA expression in <i>E</i>. <i>coli</i> with increasing concentrations of <i>acrA</i>-PPMO was quantified using an anti-AcrA antibody (top panel). AcrA expression was normalized against the expression of cAMP receptor protein (CRP). Error bars represent the standard deviations of normalized AcrA protein levels for six experimental replicates (middle panel). <i>E</i>. <i>coli</i> growth in fixed concentrations of clindamycin with increasing concentrations of <i>acrA</i>-PPMO is calculated by calculating the AUC growth in different experimental conditions (bottom panel). Error bars represent the standard deviation of growth rate changes of four experimental replicates. (B) <i>acrA</i>-PPMO has nonsignificant levels of toxicity to HBEC3KT human cells. HBEC3KT human cells were incubated with increasing doses of <i>acrA</i>-PPMO, and the number of viable cells was determined (Cell-Titer-Glo, Promega) every 24 h for 4 d. Error bars represent the standard deviation of cell counts obtained from ten replicate experiments.</p

    Systematic deletions of <i>E</i>. <i>coli</i> genes that encode for membrane proteins demonstrate that the AcrAB-TolC efflux system is the major machinery responsible for intrinsic antibiotic resistance.

    No full text
    <p>(A) Physical deletion of a resistance gene in a bacterium may render the bacterium antibiotic sensitive. (B) Representative MIC determination using final optical density at 600 nm (OD600) values at 22 h of incubation with the wild type (WT) <i>E</i>. <i>coli</i> and gene deletion mutants in increasing doses of clindamycin. The left vertical dashed line represents the MIC concentration for the <i>acrB</i> deletion mutant (magenta) while the right vertical dashed line represents the MIC for the remaining strains (WT and the <i>cmr</i>, <i>emrB</i>, <i>marB</i>, <i>ompF</i> deletion mutants). (C) Heat map showing the normalized mean MIC values for every strain, measured as in (B). MIC values were normalized using the wild type strain as the reference. All MIC measurements were run at least in duplicate and were found to be highly reproducible (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002552#pbio.1002552.s002" target="_blank">S2B Fig</a>). Relative change of the MIC (compared to WT) is depicted colorimetrically with blue representing statistically significant decreases (<i>p</i> < 0.05) in MIC and white representing nonsignificant changes in MIC. Intensity of the blue color indicates the magnitude of MIC change. MIC changes for only 11 of the 27 tested antibiotic compounds are shown here. The heat map for all antibiotics can be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002552#pbio.1002552.s002" target="_blank">S2A Fig</a> and the numerical MIC values can be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002552#pbio.1002552.s007" target="_blank">S1 Table</a>.</p

    <i>acrA</i>-PPMO confers hypersensitivity to several antibiotics in a sequence-specific manner.

    No full text
    <p>(A) Sample antibiotic dose-response curves of <i>E</i>. <i>coli</i> in the absence of <i>acrA</i>-PPMO (black lines), in the presence of 10 μM <i>acrA</i>-PPMO (blue lines), and <i>E</i>. <i>coli</i> with <i>acrA</i> deletion (cyan lines). The MIC for each treatment is defined as the lowest concentration of antibiotic that results in a 95% reduction in the growth relative to the wild type <i>E</i>. <i>coli</i> in the presence of antibiotics (black lines). (B) Bar graphs of the measured fold changes in MIC values for wild-type <i>E</i>. <i>coli</i> in the absence of <i>acrA</i>-PPMO (black), 10 μM <i>acrA</i>-PPMO (blue), and with the <i>acrA</i> deletion (cyan). Abbreviations: CFT, cefotaxime; CHL, chloramphenicol; CLI, clindamycin; DOX, doxycycline; FUS, fusidic acid; GEN, gentamycin; MER, meropenem; NIT, nitrofurantoin; RIF, rifampicin; VAN, vancomycin. Every measurement was completed with four replicates, and error bars represent standard deviation. Phenotypic effects of <i>acrA</i> deletion and <i>acrA</i> silencing with <i>acrA</i>-PPMO are highly correlated (r = 0.94, <i>p</i> < 0.001, Pearson correlation test). (C) Killing of <i>E</i>. <i>coli</i> (BW25113), <i>K</i>. <i>pneumoniae</i> (F45153), <i>S</i>. <i>enterica</i> (14028S), <i>Acinetobacter baumannii</i> (AYE), <i>Pseudomonas aeruginosa</i> (PAO1), and <i>Burkholderia cenocepacia</i> (K56-2) by piperacillin-tazobactam alone (black line) or in combination with 10 μM control-PPMO (grey dashed line), or <i>acrA</i>-PPMO (blue dashed line) after 18 h incubation. The horizontal dashed line represents the inoculum (5 x 10<sup>5</sup> CFU/mL) prior to incubation. The <i>x</i>-axis represents the normalized MIC concentration of piperacillin-tazobactam, corresponding to different MIC values for each pathogen. Error bars represent the standard deviations of the colony forming unit (CFU) counts obtained from at least four replicate measurements.</p
    corecore