H Abodakpi1, K T Chang2, J Zhou1, C Byerly1, V H Tam3. 1. Department of Pharmacological and Pharmaceutical Sciences, University of Houston College of Pharmacy, Houston, TX, USA. 2. Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA. 3. Department of Pharmacological and Pharmaceutical Sciences, University of Houston College of Pharmacy, Houston, TX, USA; Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA. Electronic address: vtam@uh.edu.
Abstract
OBJECTIVES: Extended-spectrum β-lactamases (ESBLs) present a serious challenge in the treatment of Gram-negative bacterial infections. ESBLs mediate resistance to most β-lactams, which may be reversed with the addition of an active β-lactamase inhibitor (such as tazobactam, relebactam and avibactam). However, various ESBLs may exhibit different susceptibilities to these inhibitors, which could impact efficacy. We proposed a framework for comparing the efficacy of these inhibitors when combined with the same β-lactam. METHODS: Three clinical isolates of Klebsiella pneumoniae harbouring CTX-M-15 and one Escherichia coli isolate with SHV-12 were examined. Piperacillin MICs were determined by broth dilution using escalating concentrations of tazobactam, relebactam and avibactam. The resulting MICs were characterized as response to inhibitor concentrations using an inhibitory sigmoid Emax model. Using the best-fit parameter values, the model was conditioned with fluctuating inhibitor concentrations to simulate instantaneous MICi profiles for each isolate-inhibitor pair. Using a simulated exposure of 4 g piperacillin every 8 h, %fT > MICi was estimated for each piperacillin/inhibitor combination. A hollowfibre infection model was subsequently used to validate the predicted effectiveness of selected combinations. RESULTS: In all scenarios, piperacillin MIC reductions were well characterized with increasing inhibitor concentrations. As predicted by %fT > MICi, combining piperacillin with avibactam (61.4%-73.6%) was found to be superior to tazobactam (13.5%-44.5%) for suppressing bacterial growth over time. CONCLUSION: We illustrated a practical approach to compare the performance of different inhibitors. This platform may be used clinically to identify the optimal pairing of various β-lactams and β-lactamase inhibitors for individual isolates producing ESBLs.
OBJECTIVES: Extended-spectrum β-lactamases (ESBLs) present a serious challenge in the treatment of Gram-negative bacterial infections. ESBLs mediate resistance to most β-lactams, which may be reversed with the addition of an active β-lactamase inhibitor (such as tazobactam, relebactam and avibactam). However, various ESBLs may exhibit different susceptibilities to these inhibitors, which could impact efficacy. We proposed a framework for comparing the efficacy of these inhibitors when combined with the same β-lactam. METHODS: Three clinical isolates of Klebsiella pneumoniae harbouring CTX-M-15 and one Escherichia coli isolate with SHV-12 were examined. Piperacillin MICs were determined by broth dilution using escalating concentrations of tazobactam, relebactam and avibactam. The resulting MICs were characterized as response to inhibitor concentrations using an inhibitory sigmoid Emax model. Using the best-fit parameter values, the model was conditioned with fluctuating inhibitor concentrations to simulate instantaneous MICi profiles for each isolate-inhibitor pair. Using a simulated exposure of 4 g piperacillin every 8 h, %fT > MICi was estimated for each piperacillin/inhibitor combination. A hollowfibre infection model was subsequently used to validate the predicted effectiveness of selected combinations. RESULTS: In all scenarios, piperacillinMIC reductions were well characterized with increasing inhibitor concentrations. As predicted by %fT > MICi, combining piperacillin with avibactam (61.4%-73.6%) was found to be superior to tazobactam (13.5%-44.5%) for suppressing bacterial growth over time. CONCLUSION: We illustrated a practical approach to compare the performance of different inhibitors. This platform may be used clinically to identify the optimal pairing of various β-lactams and β-lactamase inhibitors for individual isolates producing ESBLs.
Authors: V H Tam; A Louie; T R Fritsche; M Deziel; W Liu; D L Brown; L Deshpande; R Leary; R N Jones; G L Drusano Journal: J Infect Dis Date: 2007-05-02 Impact factor: 5.226
Authors: Pranita D Tamma; Jennifer H Han; Clare Rock; Anthony D Harris; Ebbing Lautenbach; Alice J Hsu; Edina Avdic; Sara E Cosgrove Journal: Clin Infect Dis Date: 2015-01-13 Impact factor: 9.079
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Authors: Patrick N A Harris; Paul A Tambyah; David C Lye; Yin Mo; Tau H Lee; Mesut Yilmaz; Thamer H Alenazi; Yaseen Arabi; Marco Falcone; Matteo Bassetti; Elda Righi; Benjamin A Rogers; Souha Kanj; Hasan Bhally; Jon Iredell; Marc Mendelson; Tom H Boyles; David Looke; Spiros Miyakis; Genevieve Walls; Mohammed Al Khamis; Ahmed Zikri; Amy Crowe; Paul Ingram; Nick Daneman; Paul Griffin; Eugene Athan; Penelope Lorenc; Peter Baker; Leah Roberts; Scott A Beatson; Anton Y Peleg; Tiffany Harris-Brown; David L Paterson Journal: JAMA Date: 2018-09-11 Impact factor: 56.272
Authors: Tat Ming Ng; Wendy X Khong; Patrick N A Harris; Partha P De; Angela Chow; Paul A Tambyah; David C Lye Journal: PLoS One Date: 2016-04-22 Impact factor: 3.240
Authors: Vincent H Tam; Henrietta Abodakpi; Weiqun Wang; Kimberly R Ledesma; Paul R Merlau; Katrina Chan; Rachel Altman; Truc T Tran; Michael Nikolaou; Amelia K Sofjan Journal: J Antimicrob Chemother Date: 2021-01-01 Impact factor: 5.790
Authors: Brianna M Eales; Cole S Hudson; Iordanis Kesisoglou; Weiqun Wang; Michael Nikolaou; Vincent H Tam Journal: Antibiotics (Basel) Date: 2021-10-16