Project description:Klebsiella pneumoniae carrying antibiotic resistance against carbapenems are of great concern, due to the limited number of treatment options for infections caused by multiresistant bacteria. Novel antibiotics and treatment options are thus needed, and this need is exacerbated by the rapid and global spread of antibiotic resistances. In this study, we observe the global proteome changes of a K. pneumoniae strain (CCUG 70747) carrying carbapenem resistance genes under different concen-trations of ertapenem, a carbapenem antibiotic. Bottom-up tandem mass spectrometry (LC-MS/MS) was employed in combination with tandem mass tag (TMT) quantitative proteomics. Bioinformatics pipelines were used to observe changes in the GO terms and pathways associated with the differentially expressed proteins. The number of proteins detected with significant dif-ferential expression were 87 in the highest concentration applied and 61 in the lowest concentra-tion, all compared to the strain cultured without any antibiotics present. Several of these proteins, as well as the GO terms and pathways associated with the proteins, were linked to mechanisms of antibiotic resistance. However, this particular strain encodes potent β-lactamases, and thus, as expected, presented a reasonably modest impact in the global proteome upon exposure to the low concentrations of ertapenem applied.
Project description:Background: Antimicrobial resistance is generally studied using a combination of growth inhibition measurements, sometimes in combination with DNA detection methods. However, the actual proteins that cause resistance such as enzymes, efflux pumps and a lack of porins cannot be detected by these methods. Improvements in liquid chromatography (LC) and mass spectrometry (MS) enabled easier and more comprehensive proteome analysis. In the current study, these three methods are combined into a multi-omics approach to analyze resistance against frequently used antibiotics within the beta-lactam, aminoglycoside and fluoroquinolone group in E. coli and K. pneumoniae. Objectives: We aimed to analyze which currently known antimicrobial resistance genes are detected at the protein level using liquid chromatography-mass spectrometry (LC-MS/MS) and to assess whether these could explain beta-lactam, aminoglycoside, and fluoroquinolone resistance in the studied isolates. Furthermore, we aimed to identify significant protein to resistance correlations which have not yet been described and to correlate the abundance of different porins to resistance. Methods: Whole genome sequencing, high-resolution LC-MS/MS and antimicrobial susceptibility testing by broth microdilution were performed for 187 clinical E. coli and K. pneumoniae isolates. Resistance genes and proteins were identified using the Comprehensive Antibiotic Resistance Database (CARD). All proteins were annotated using the NCBI RefSeq database and Prokka. Results & Conclusion: Proteins of small spectrum beta-lactamases, extended spectrum beta-lactamases, AmpC beta-lactamases, carbapenemases, and proteins of 16S ribosomal RNA methyltransferases and aminoglycoside acetyltransferases can be detected in E. coli and K. pneumoniae by LC-MS/MS. The detected mechanisms could explain phenotypic resistance in most of the studied isolates. Differences in the abundance and the primary structure of other proteins such as porins also correlated with resistance. LC-MS/MS is a different and complementary method which can be used to characterize antimicrobial resistance in detail as not only the primary resistance causing mechanisms are detected, but also secondary enhancing resistance mechanisms.
Project description:Background: Antimicrobial resistance is generally studied using a combination of growth inhibition measurements, sometimes in combination with DNA detection methods. However, the actual proteins that cause resistance such as enzymes, efflux pumps and a lack of porins cannot be detected by these methods. Improvements in liquid chromatography (LC) and mass spectrometry (MS) enabled easier and more comprehensive proteome analysis. In the current study, these three methods are combined into a multi-omics approach to analyze resistance against frequently used antibiotics within the beta-lactam, aminoglycoside and fluoroquinolone group in E. coli and K. pneumoniae. Objectives: We aimed to analyze which currently known antimicrobial resistance genes are detected at the protein level using liquid chromatography-mass spectrometry (LC-MS/MS) and to assess whether these could explain beta-lactam, aminoglycoside, and fluoroquinolone resistance in the studied isolates. Furthermore, we aimed to identify significant protein to resistance correlations which have not yet been described and to correlate the abundance of different porins to resistance. Methods: Whole genome sequencing, high-resolution LC-MS/MS and antimicrobial susceptibility testing by broth microdilution were performed for 187 clinical E. coli and K. pneumoniae isolates. Resistance genes and proteins were identified using the Comprehensive Antibiotic Resistance Database (CARD). All proteins were annotated using the NCBI RefSeq database and Prokka. Results & Conclusion: Proteins of small spectrum beta-lactamases, extended spectrum beta-lactamases, AmpC beta-lactamases, carbapenemases, and proteins of 16S ribosomal RNA methyltransferases and aminoglycoside acetyltransferases can be detected in E. coli and K. pneumoniae by LC-MS/MS. The detected mechanisms could explain phenotypic resistance in most of the studied isolates. Differences in the abundance and the primary structure of other proteins such as porins also correlated with resistance. LC-MS/MS is a different and complementary method which can be used to characterize antimicrobial resistance in detail as not only the primary resistance causing mechanisms are detected, but also secondary enhancing resistance mechanisms.
Project description:With increasingly concerning strains of antimicrobial resistant strains of the commensal, gram-negative bacteria Klebsiella pneumoniae emerging, there is a pressing need to better understand the pathogen and mechanisms behind its pathogenicity. This study investigated the regulatory mechanisms in strain MGH 78578 of two major sigma factors, the house-keeping sigma factor RpoD, and the general stress response sigma factor RpoS, in mid-exponential and early stationary phase using chromatin immunoprecipitation with exonuclease treatment (ChIP-exo) followed by deep sequencing. Combining ChIP-exo and transcriptome analysis allowed for the determination of sigma factor binding sites, binding motifs, and genes included in the phase-specific sigmulons. The number of genes included in the RpoS sigmulon was greater than in the RpoD sigmulon, with 1,833 and 1,690 genes included, respectively; however, a majority of sigmulon genes were found in all phase-specific sigmulons. Focussing on pathogenicity genes, 20 antimicrobial resistance genes (ARGs) and 155 virulence genes, only two ARGs were found exclusively in one phase-specific sigmulon, an oxacillin-hydrolysing class D beta-lactamase and chloramphenicol efflux MFS transporter CmlA5, which were found in the RpoD sigmulon in early stationary phase. Notably, six unnamed proteins that are or pertain to fimbrial proteins were found uniquely in the RpoS sigmulon in early stationary phase. From this, it can be hypothesised that early stationary phase might be an important phase for pathogenicity gene regulation. While there is little conservation in RpoS sigmulons from strain to strain, RpoS appears to have a consistent overarching role across strains, including a role as a regulator of pathogenicity genes.