Longitudinal Evolution of the Pseudomonas-Derived Cephalosporinase (PDC) Structure and Activity in a Cystic Fibrosis Patient Treated with β-Lactams

Claudia A. Colque, Andrea G. albarracín Orio, Pablo E. Tomatis, Gina Dotta, Diego M. Moreno, Laura G. Hedemann, Rachel A. Hickman, Lea M. Sommer, Sofía Feliziani, Alejandro J. Moyano, Robert A. Bonomo*, Helle K. Johansen, Søren Molin, Alejandro J. Vila, Andrea M. Smania

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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Abstract

Traditional studies on the evolution of antibiotic resistance development use approaches that can range from laboratory-based experimental studies, to epidemiological surveillance, to sequencing of clinical isolates. However, evolutionary trajectories also depend on the environment in which selection takes place, compelling the need to more deeply investigate the impact of environmental complexities and their dynamics over time. Herein, we explored the within-patient adaptive long-term evolution of a Pseudomonas aeruginosa hypermutator lineage in the airways of a cystic fibrosis (CF) patient by performing a chronological tracking of mutations that occurred in different subpopulations; our results demonstrated parallel evolution events in the chromosomally encoded class C β-lactamase (blaPDC). These multiple mutations within blaPDC shaped diverse coexisting alleles, whose frequency dynamics responded to the changing antibiotic selective pressures for more than 26 years of chronic infection. Importantly, the combination of the cumulative mutations in blaPDC provided structural and functional protein changes that resulted in a continuous enhancement of its catalytic efficiency and high level of cephalosporin resistance. This evolution was linked to the persistent treatment with ceftazidime, which we demonstrated selected for variants with robust catalytic activity against this expanded-spectrum cephalosporin. A “gain of function” of collateral resistance toward ceftolozane, a more recently introduced cephalosporin that was not prescribed to this patient, was also observed, and the biochemical basis of this cross-resistance phenomenon was elucidated. This work unveils the evolutionary trajectories paved by bacteria toward a multidrug-resistant phenotype, driven by decades of antibiotic treatment in the natural CF environmental setting. IMPORTANCE Antibiotics are becoming increasingly ineffective to treat bacterial infections. It has been consequently predicted that infectious diseases will become the biggest challenge to human health in the near future. Pseudomonas aeruginosa is considered a paradigm in antimicrobial resistance as it exploits intrinsic and acquired resistance mechanisms to resist virtually all antibiotics known. AmpC β-lactamase is the main mechanism driving resistance in this notorious pathogen to β-lactams, one of the most widely used classes of antibiotics for cystic fibrosis infections. Here, we focus on the β-lactamase gene as a model resistance determinant and unveil the trajectory P. aeruginosa undertakes on the path toward a multidrug-resistant phenotype during the course of two and a half decades of chronic infection in the airways of a cystic fibrosis patient. Integrating genetic and biochemical studies in the natural environment where evolution occurs, we provide a unique perspective on this challenging landscape, addressing fundamental molecular mechanisms of resistance.

OriginalsprogEngelsk
TidsskriftmBio
Vol/bind13
Udgave nummer5
ISSN2161-2129
DOI
StatusUdgivet - 2022

Bibliografisk note

Funding Information:
Molecular modelling simulations were performed in Centro de Cómputos de Alto Rendimiento (CeCAR, UBA). The authors thank Andrea Hujer and Andrew Mack (from Case Western Reserve University), who helped with the application of the SANC numbering scheme. This work was supported by ANPCyT (grant no. PICT-2016-1545 and PICT-2019-1590 to A.M.S., PICT-2016-1657 to A.J.V., PICT-2019-1358 to P.E.T., and PICT-2016-1926 to A.G.A.O.), SECYT-UNC (grant no. 33620180100413CB to A.M.S.), MINCyT-Córdoba (grant no. PID-2018-Res 144 to A.M.S.), the NIH (grant no. R01AI100560 to A.J.V.), the Novo Nordisk Foundation (grant no. NNF12OC1015920, NNF15OC0017444, and NNF18OC0052776 to H.K.J.), Rigshospitalet Rammebevilling 2015-17 (grant no. R88-A3537 to H.K.J.), Lundbeckfonden (grant no. R167-2013-15229 to H.K.J.), Det Frie Forskningsråd FSS (grant no. DFF-4183-00051 to H.K.J.), RegionH rammebevilling and Savværksejer Jeppe Juhl og Hustru Ovita Juhls Memorial Fund (grant no. R144-A5287 to H.K.J.), and the National Institute of Allergy and Infectious Diseases of the NIH (grant no. R01AI063517 to R.A.B.). A grant provided by Merck & Co., Inc., Kenilworth, NJ, USA, and the Cleveland Department of Veterans Affairs supported R.A.B. (grant no. 1I01BX001974) from the Biomedical Laboratory Research & Development Service of the VA Office of Research and Development and the Geriatric Research Education and Clinical Center VISN 10. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or the Department of Veterans Affairs. A.M.S., A.J.V., P.E.T., A.G.A.O., and A.J.M. are staff members from CONICET. C.A.C., G.D., and L.G.H. are recipients of fellowships from CONICET, Argentina.

Funding Information:
Molecular modelling simulations were performed in Centro de Cómputos de Alto Rendimiento (CeCAR, UBA). The authors thank Andrea Hujer and Andrew Mack (from Case Western Reserve University), who helped with the application of the SANC numbering scheme. This work was supported by ANPCyT (grant no. PICT-2016-1545 and PICT-2019-1590 to A.M.S., PICT-2016-1657 to A.J.V., PICT-2019-1358 to P.E.T., and PICT-2016-1926 to A.G.A.O.), SECYT-UNC (grant no. 33620180100413CB to A.M.S.), MINCyT-Córdoba (grant no. PID-2018-Res 144 to A.M.S.), the NIH (grant no. R01AI100560 to A.J.V.), the Novo Nordisk Foundation (grant no. NNF12OC1015920, NNF15OC0017444, and NNF18OC0052776 to H.K.J.), Rigshospitalet Rammebevilling 2015-17 (grant no. R88-A3537 to H.K.J.), Lundbeckfonden (grant no. R167-2013-15229 to H.K.J.), Det Frie Forskningsråd FSS (grant no. DFF-4183-00051 to H.K.J.), RegionH rammebevilling and Savværksejer Jeppe Juhl og Hustru Ovita Juhls Memorial Fund (grant no. R144-A5287 to H.K.J.), and the National Institute of Allergy and Infectious Diseases of the NIH (grant no. R01AI063517 to R.A.B.). A grant provided by Merck & Co., Inc., Kenilworth, NJ, USA, and the Cleveland Department of Veterans Affairs supported R.A.B. (grant no. 1I01BX001974) from the Biomedical Laboratory Research & Development Service of the VA Office of Research and Development and the Geriatric Research Education and Clinical Center VISN 10. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or the Department of Veterans Affairs. A.M.S., A.J.V., P.E.T., A.G.A.O., and A.J.M. are staff members from CONICET. C.A.C., G.D., and L.G.H. are recipients of fellowships from CONICET, Argentina. A.M.S. and A.J.V. designed research and supervised the study. C.A.C., A.G.A.O., P.E.T., G.D., R.A.H., L.G.H., S.F., and A.J.M. performed experimental research. H.K.J. provided clinical samples and bacterial collection. C.A.C. and L.M.S. analyzed bioinformatics ultradeep sequencing data. D.M.M. performed molecular modeling analyses. C.A.C., A.G.A.O., P.E.T., D.M.M., R.A.B., H.K.J., S.M., A.J.V., and A.M.S. analyzed data. R.A.B., S.M., A.J.V., and A.M.S. wrote the paper.

Publisher Copyright:
Copyright © 2022 Colque et al.

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