Abstract
Resistance to antipseudomonal penicillins and cephalosporins is often driven by the overproduction of the intrinsic b-lactamase AmpC. However, OXA-10-family b-lactamases are a rich source of resistance in Pseudomonas aeruginosa. OXA b-lactamases have a propensity for mutation that leads to extended spectrum cephalosporinase and carbapenemase activity. In this study, we identified isolates from a subclade of the multidrug-resistant (MDR) high risk P. aeruginosa clonal complex CC446 with a resistance to ceftazidime. A genomic analysis revealed that these isolates harbored a plasmid containing a novel allele of blaOXA-10, named blaOXA-935, which was predicted to produce an OXA-10 variant with two amino acid substitutions: an aspartic acid instead of a glycine at position 157 and a serine instead of a phenylalanine at position 153. The G157D mutation, present in OXA-14, is associated with the resistance of P. aeruginosa to ceftazidime. Compared to OXA-14, OXA-935 showed increased catalytic efficiency for ceftazidime. The deletion of blaOXA-935 restored the sensitivity to ceftazidime, and susceptibility profiling of P. aeruginosa laboratory strains expressing blaOXA-935 revealed that OXA-935 conferred ceftazidime resistance. To better understand the impacts of the variant amino acids, we determined the crystal structures of OXA-14 and OXA-935. Compared to OXA-14, the F153S mutation in OXA-935 conferred increased flexibility in the omega (X) loop. Amino acid changes that confer extended spectrum cephalosporinase activity to OXA-10-family b-lactamases are concerning, given the rising reliance on novel b-lactam/b-lactamase inhibitor combinations, such as ceftolozane-tazobactam and ceftazidime-avibactam, to treat MDR P. aeruginosa infections.
Original language | English (US) |
---|---|
Journal | Antimicrobial agents and chemotherapy |
Volume | 66 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2022 |
Funding
This work was supported by grants from the National Institutes of Health (NIH)/National Institute of Allergy and Infectious Diseases (NIAID) (R01 AI118257, R01 AI053674, U19 AI135964, K24 104831, and R21 AI129167 awarded to A.R.H.), the NIH/National Institute of General Medical Sciences (NIGMS) (T32 GM008061 and T32 GM008152 awarded to N.B.P.), an American Cancer Society (ACS) Postdoctoral Fellowship (number 130602-PF-17-107-01- MPC, awarded to K.E.R.B.), and an ACS Clinician Scientist Development Grant (number 134251-CSDG-20-053-01-MPC, awarded to K.E.R.B.). This project has been funded in whole or in part with federal funds from the NIAID under Contract No. HHSN27201700060C and Grant No. U01AI124316 and R01 GM05789 as well as from the National Institute of Medical Sciences (Grant GM118187), both from the NIH, Department of Health and Human Services. This work used the resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. Use of the LS-CAT Sector 21 was supported by the Michigan Economic Development Corporation and the Michigan Technology Tri-Corridor (Grant 085P1000817). This work was also supported by the Northwestern University NUSeq Core Facility, Structural Biology Facility, and High Throughput Analysis Laboratory, which are supported in part by the NCI CCSG P30 CA060553 award to the Robert H. Lurie Comprehensive Cancer Center. This work was also supported in part through the computational resources and staff contributions provided by the Genomics Compute Cluster, which is jointly supported by the Feinberg School of Medicine, the Center for Genetic Medicine, and Feinberg’s Department of Biochemistry and Molecular Genetics, Office of the Provost, Office for Research, and Northwestern Information Technology. The Genomics Compute Cluster is part of Quest, Northwestern University’s high-performance computing facility, and serves the purpose of advancing research in genomics. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. We thank members of the Center for Structural Genomics of Infectious Diseases (CSGID) and the Hauser, Ozer, and Kociolek laboratories for their valuable comments during numerous discussions of this work. This work was supported by grants from the National Institutes of Health (NIH)/National Institute of Allergy and Infectious Diseases (NIAID) (R01 AI118257, R01 AI053674, U19 AI135964, K24 104831, and R21 AI129167 awarded to A.R.H.), the NIH/National Institute of General Medical Sciences (NIGMS) (T32 GM008061 and T32 GM008152 awarded to N.B.P.), an American Cancer Society (ACS) Postdoctoral Fellowship (number 130602-PF-17-107-01-MPC, awarded to K.E.R.B.), and an ACS Clinician Scientist Development Grant (number 134251-CSDG-20-053-01-MPC, awarded to K.E.R.B.). This project has been funded in whole or in part with federal funds from the NIAID under Contract No. HHSN27201700060C and Grant No. U01AI124316 and R01 GM05789 as well as from the National Institute of Medical Sciences (Grant GM118187), both from the NIH, Department of Health and Human Services. This work used the resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. Use of the LS-CAT Sector 21 was supported by the Michigan Economic Development Corporation and the Michigan Technology Tri-Corridor (Grant 085P1000817). This work was also supported by the Northwestern University NUSeq Core Facility, Structural Biology Facility, and High Throughput Analysis Laboratory, which are supported in part by the NCI CCSG P30 CA060553 award to the Robert H. Lurie Comprehensive Cancer Center. This work was also supported in part through the computational resources and staff contributions provided by the Genomics Compute Cluster, which is jointly supported by the Feinberg School of Medicine, the Center for Genetic Medicine, and Feinberg's Department of Biochemistry and Molecular Genetics, Office of the Provost, Office for Research, and Northwestern Information Technology. The Genomics Compute Cluster is part of Quest, Northwestern University's high-performance computing facility, and serves the purpose of advancing research in genomics. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. We thank members of the Center for Structural Genomics of Infectious Diseases (CSGID) and the Hauser, Ozer, and Kociolek laboratories for their valuable comments during numerous discussions of this work.
Keywords
- OXA-b-lactamase
- Pseudomonas aeruginosa
- antimicrobial resistance
- ceftazidime
- crystal structure
ASJC Scopus subject areas
- Pharmacology (medical)
- Infectious Diseases
- Pharmacology
Fingerprint
Dive into the research topics of 'Functional and Structural Characterization of OXA-935, a Novel OXA-10-Family β-Lactamase from Pseudomonas aeruginosa'. Together they form a unique fingerprint.Datasets
-
Crystal Structure of the Oxacillin-hydrolyzing Class D Extended-spectrum Beta-lactamase OXA-14 from Pseudomonas aeruginosa
Pincus, N. B. (Contributor), Rosas-Lemus, M. (Contributor), Gatesy, S. W. M. (Contributor), Bertucci, H. K. (Contributor), Brunzelle, J. S. (Contributor), Minasov, G. (Contributor), Shuvalova, L. A. (Contributor), Lebrun-Corbin, M. (Contributor), Satchell, K. J. F. (Contributor), Ozer, E. A. (Contributor), Hauser, A. R. (Contributor) & Bachta, K. E. R. (Contributor), Protein Data Bank (PDB), Dec 29 2021
DOI: 10.2210/pdb7L5R/pdb, https://www.wwpdb.org/pdb?id=pdb_00007l5r
Dataset
-
Crystal Structure of the Class D Beta-lactamase OXA-935 from Pseudomonas aeruginosa, Orthorhombic Crystal Form
Pincus, N. B. (Contributor), Rosas-Lemus, M. (Contributor), Gatesy, S. W. M. (Contributor), Bertucci, H. K. (Contributor), Brunzelle, J. S. (Contributor), Minasov, G. (Contributor), Shuvalova, L. A. (Contributor), Lebrun-Corbin, M. (Contributor), Satchell, K. J. F. (Contributor), Ozer, E. A. (Contributor), Hauser, A. R. (Contributor) & Bachta, K. E. R. (Contributor), Protein Data Bank (PDB), Jul 6 2022
DOI: 10.2210/pdb7N1M/pdb, https://www.wwpdb.org/pdb?id=pdb_00007n1m
Dataset
-
Crystal Structure of the Class D Beta-lactamase OXA-935 from Pseudomonas aeruginosa, Monoclinic Crystal Form
Pincus, N. B. (Contributor), Rosas-Lemus, M. (Contributor), Gatesy, S. W. M. (Contributor), Bertucci, H. K. (Contributor), Brunzelle, J. S. (Contributor), Minasov, G. (Contributor), Shuvalova, L. A. (Contributor), Lebrun-Corbin, M. (Contributor), Satchell, K. J. F. (Contributor), Ozer, E. A. (Contributor), Hauser, A. R. (Contributor) & Bachta, K. E. R. (Contributor), Protein Data Bank (PDB), Dec 29 2021
DOI: 10.2210/pdb7L5V/pdb, https://www.wwpdb.org/pdb?id=pdb_00007l5v
Dataset