Colistin resistance-mediated lipopolysaccharide modification in Klebsiella pneumoniae modulates host inflammatory response
Dutta, A.; Gallagher, P.; Sutherland, K. M. J.; Halder, B.; To Nguyen Thi, N.; Keane, J. A.; Larrouy-Maumus, G.; Baker, S.
Show abstract
Resistance to the polymyxin antimicrobial colistin in Gram-negative bacteria is associated with a modification of the immunogenic lipid A moiety of the lipopolysaccharide (LPS). Chromosomal and plasmid-borne colistin resistance results in the addition of L-Ara4N and pEtN groups to lipopolysaccharide (LPS), respectively. Here, using THP-1 cells, we studied the impact of different LPS modifications of Klebsiella pneumoniae in stimulating host immune response. K. pneumoniae clinical isolates were screened for colistin resistance using broth microdilution (BMD) and the MALDIxin test. LPS was extracted from colistin-resistant isolates and used to stimulate differentiated THP-1 cells. Luminex cytokine assay measured the immune induction via a panel of proinflammatory cytokines. Out of a collection of 72 clinical K. pneumoniae, eight (11.1%) exhibited phenotypic colistin resistance with a minimum inhibitory concentration (MIC) of 8 to 64 mg/L. In total, five isolates possessed genes associated with polymyxin resistance; three isolates had a mutation in the pmrB gene, and two were mcr-8.1 positive. MALDIxin demonstrated that all eight phenotypic colistin-resistant isolates elaborated peaks at m/z 1,955 and m/z 2,193, indicating an L-Ara4N group of LPS modification. For two mcr-8.1 positive isolates, LPS had a pEtN group. The LPS modification positively correlated with colistin MIC (correlation coefficient, r= 0.6 and R2= 0.4). Compared to the native structure, LPS modification was associated with greater production of IL-1{beta}, IL-6, and CXCL-8 (p<0.001). The pEtN-conjugated LPS triggered a significantly greater production of TNF-, IL-6, and CXCL-8 compared to L-Ara4N (p<0.05). This study reveals that the colistin MIC value can significantly predict lipid A modification in clinical K. pneumoniae, and differences in resistance-mediated lipid A modification result in variation in the immunological response. This study highlights the potential of dynamic host-pathogen interaction in the context of colistin resistance.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Methicillin-Resistant Staphylococcus aureus has Phenotypic Variation in mecA Expression that Alters Antibiotic Sensitivity 94%
- Novel inducers of the expression of multidrug efflux pumps that trigger Pseudomonas aeruginosa transient antibiotic resistance 93%
- Interplay between meropenem and human serum albumin on expression of carbapenem resistance genes and natural competence in Acinetobacter baumannii 93%
Similar papers in this journal
- Brevibacillin 2V, a novel antimicrobial lipopeptide with an exceptional low hemolytic activity 93%
- Responses of carbapenemase-producing and non-producing carbapenem-resistant Pseudomonas aeruginosa strains to meropenem revealed by quantitative tandem mass spectrometry proteomics 93%
- Phage-Derived Depolymerase as an Antibiotic Adjuvant Against Multidrug-Resistant Acinetobacter Baumannii 93%
Similar papers in this journal
- Targeted Sortase A Inhibition by Novel Peptidomimetic Antivirulents against Staphylococcal Infections 94%
- (p)ppGpp and DksA play crucial role in reducing the efficacy of b-lactam antibiotics by modulating bacterial membrane permeability 93%
- Direct colorimetry of imipenem decomposition as a novel cost effective method for detecting carabapenamase producing bacteria 93%
Similar papers in this journal
- New inhibitors of the Pseudomonas aeruginosa enzyme, PqsE, and methods assessing their potential to induce a conformational change via active site binding 91%
- The membrane activity of the amphibian Temporin B peptide analog TB_KKG6K sheds light on the mechanism that kills Candida albicans 91%
- Surface Hydrophilicity Promotes Bacterial Twitching Motility 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.