Literature DB >> 26711759

Suppression of Emergence of Resistance in Pathogenic Bacteria: Keeping Our Powder Dry, Part 1.

G L Drusano1, Arnold Louie2, Alasdair MacGowan3, William Hope4.   

Abstract

We are in a crisis of bacterial resistance. For economic reasons, most pharmaceutical companies are abandoning antimicrobial discovery efforts, while, in health care itself, infection control and antibiotic stewardship programs have generally failed to prevent the spread of drug-resistant bacteria. At this point, what can be done? The first step has been taken. Governments and international bodies have declared there is a worldwide crisis in antibiotic drug resistance. As discovery efforts begin anew, what more can be done to protect newly developing agents and improve the use of new drugs to suppress resistance emergence? A neglected path has been the use of recent knowledge regarding antibiotic dosing as single agents and in combination to minimize resistance emergence, while also providing sufficient early bacterial kill. In this review, we look at the data for resistance suppression. Approaches include increasing the intensity of therapy to suppress resistant subpopulations; developing concepts of clinical breakpoints to include issues surrounding suppression of resistance; and paying attention to the duration of therapy, which is another important issue for resistance suppression. New understanding of optimizing combination therapy is of interest for difficult-to-treat pathogens like Pseudomonas aeruginosa, Acinetobacter spp., and multidrug-resistant (MDR) Enterobacteriaceae. These lessons need to be applied to our old drugs to preserve them as well and need to be put into national and international antibiotic resistance strategies. As importantly, from a regulatory perspective, new chemical entities should have a corresponding resistance suppression plan at the time of regulatory review. In this way, we can make the best of our current situation and improve future prospects.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 26711759      PMCID: PMC4775960          DOI: 10.1128/AAC.02177-15

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  50 in total

1.  Application of a mathematical model to prevent in vivo amplification of antibiotic-resistant bacterial populations during therapy.

Authors:  Nelson Jumbe; Arnold Louie; Robert Leary; Weiguo Liu; Mark R Deziel; Vincent H Tam; Reetu Bachhawat; Christopher Freeman; James B Kahn; Karen Bush; Michael N Dudley; Michael H Miller; George L Drusano
Journal:  J Clin Invest       Date:  2003-07       Impact factor: 14.808

Review 2.  Antimicrobial pharmacodynamics: critical interactions of 'bug and drug'.

Authors:  George L Drusano
Journal:  Nat Rev Microbiol       Date:  2004-04       Impact factor: 60.633

3.  Interaction of drug- and granulocyte-mediated killing of Pseudomonas aeruginosa in a murine pneumonia model.

Authors:  George Louis Drusano; Weiguo Liu; Steven Fikes; Ryan Cirz; Nichole Robbins; Stephanie Kurhanewicz; Jaime Rodriquez; David Brown; Dodge Baluya; Arnold Louie
Journal:  J Infect Dis       Date:  2014-04-22       Impact factor: 5.226

4.  Interaction of rifamycin with bacterial RNA polymerase.

Authors:  W Wehrli; F Knüsel; K Schmid; M Staehelin
Journal:  Proc Natl Acad Sci U S A       Date:  1968-10       Impact factor: 11.205

5.  In vitro pharmacodynamic evaluation of the mutant selection window hypothesis using four fluoroquinolones against Staphylococcus aureus.

Authors:  Alexander A Firsov; Sergey N Vostrov; Irene Y Lubenko; Karl Drlica; Yury A Portnoy; Stephen H Zinner
Journal:  Antimicrob Agents Chemother       Date:  2003-05       Impact factor: 5.191

Review 6.  Fluoroquinolones: action and resistance.

Authors:  Karl Drlica; Muhammad Malik
Journal:  Curr Top Med Chem       Date:  2003       Impact factor: 3.295

7.  Purification and properties of DNA-dependent RNA polymerase from Mycobacterium tuberculosis H37RV.

Authors:  R M Harshey; T Ramakrishnan
Journal:  Biochim Biophys Acta       Date:  1976-04-15

8.  Selection of a moxifloxacin dose that suppresses drug resistance in Mycobacterium tuberculosis, by use of an in vitro pharmacodynamic infection model and mathematical modeling.

Authors:  Tawanda Gumbo; Arnold Louie; Mark R Deziel; Linda M Parsons; Max Salfinger; George L Drusano
Journal:  J Infect Dis       Date:  2004-09-24       Impact factor: 5.226

9.  Comparison of 8 vs 15 days of antibiotic therapy for ventilator-associated pneumonia in adults: a randomized trial.

Authors:  Jean Chastre; Michel Wolff; Jean-Yves Fagon; Sylvie Chevret; Franck Thomas; Delphine Wermert; Eva Clementi; Jesus Gonzalez; Dominique Jusserand; Pierre Asfar; Dominique Perrin; Fabienne Fieux; Sylvie Aubas
Journal:  JAMA       Date:  2003-11-19       Impact factor: 56.272

10.  Mutant selection window in levofloxacin and moxifloxacin treatments of experimental pneumococcal pneumonia in a rabbit model of human therapy.

Authors:  Delphine Croisier; Manuel Etienne; Emilie Bergoin; Pierre-Emmanuel Charles; Catherine Lequeu; Lionel Piroth; Henri Portier; Pascal Chavanet
Journal:  Antimicrob Agents Chemother       Date:  2004-05       Impact factor: 5.191

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  22 in total

Review 1.  [Antibiotic stewardship : Measures for optimizing prescription of anti-infective agents].

Authors:  C Lanckohr; H Bracht
Journal:  Anaesthesist       Date:  2018-01       Impact factor: 1.041

Review 2.  Prediction of antibiotic resistance: time for a new preclinical paradigm?

Authors:  Morten O A Sommer; Christian Munck; Rasmus Vendler Toft-Kehler; Dan I Andersson
Journal:  Nat Rev Microbiol       Date:  2017-07-31       Impact factor: 60.633

Review 3.  Optimising treatments for sexually transmitted infections: surveillance, pharmacokinetics and pharmacodynamics, therapeutic strategies, and molecular resistance prediction.

Authors:  Arlene C Seña; Laura Bachmann; Christine Johnston; Teodora Wi; Kimberly Workowski; Edward W Hook; Jane S Hocking; George Drusano; Magnus Unemo
Journal:  Lancet Infect Dis       Date:  2020-06-19       Impact factor: 25.071

4.  Stochastic bacterial population dynamics restrict the establishment of antibiotic resistance from single cells.

Authors:  Helen K Alexander; R Craig MacLean
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-23       Impact factor: 11.205

5.  Dilution Factor of Quantitative Bacterial Cultures Obtained by Bronchoalveolar Lavage in Patients with Ventilator-Associated Bacterial Pneumonia.

Authors:  George L Drusano; Michael L Corrado; Gino Girardi; Evelyn J Ellis-Grosse; Richard G Wunderink; Helen Donnelly; Kenneth V Leeper; Mona Brown; Tasnova Malek; Robert Duncan Hite; Michelle Ferrari; Danijela Djureinovic; Marin H Kollef; Lisa Mayfield; Ann Doyle; Jean Chastre; Alain Combes; Thomas J Walsh; Krisztina Dorizas; Hassan Alnuaimat; Brooks Edward Morgan; Jordi Rello; Cristopher A Mazo; Ronald N Jones; Robert K Flamm; Leah Woosley; Paul G Ambrose; Sujata Bhavnani; Christopher M Rubino; Catharine C Bulik; Arnold Louie; Michael Vicchiarelli; Colleen Berman
Journal:  Antimicrob Agents Chemother       Date:  2017-12-21       Impact factor: 5.191

6.  Antibacterial Activity of Human Simulated Epithelial Lining Fluid Concentrations of Ceftazidime-Avibactam Alone or in Combination with Amikacin Inhale (BAY41-6551) against Carbapenem-Resistant Pseudomonas aeruginosa and Klebsiella pneumoniae.

Authors:  Safa S Almarzoky Abuhussain; Joseph L Kuti; David P Nicolau
Journal:  Antimicrob Agents Chemother       Date:  2018-06-26       Impact factor: 5.191

7.  Dose Fractionation of Moxifloxacin for Treatment of Tuberculosis: Impact of Dosing Interval and Elimination Half-Life on Microbial Kill and Resistance Suppression.

Authors:  G L Drusano; Stephanie Rogers; David Brown; C A Peloquin; Michael Neely; Walter Yamada; Sarah Kim; Mohammed Almoslem; Stephan Schmidt; Arnold Louie
Journal:  Antimicrob Agents Chemother       Date:  2021-03-18       Impact factor: 5.191

Review 8.  Pharmacokinetic and Pharmacodynamic Principles of Anti-infective Dosing.

Authors:  Nikolas J Onufrak; Alan Forrest; Daniel Gonzalez
Journal:  Clin Ther       Date:  2016-07-20       Impact factor: 3.393

9.  Determination of the Dynamically Linked Indices of Fosfomycin for Pseudomonas aeruginosa in the Hollow Fiber Infection Model.

Authors:  Arnold Louie; Michael Maynard; Brandon Duncanson; Jocelyn Nole; Michael Vicchiarelli; G L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2018-05-25       Impact factor: 5.191

10.  Efficacy of Ceftolozane-Tazobactam in Combination with Colistin against Extensively Drug-Resistant Pseudomonas aeruginosa, Including High-Risk Clones, in an In Vitro Pharmacodynamic Model.

Authors:  María Montero; Sandra Domene Ochoa; Carla López-Causapé; Brian VanScoy; Sonia Luque; Luisa Sorlí; Núria Campillo; Ariadna Angulo-Brunet; Eduardo Padilla; Núria Prim; Virginia Pomar; Alba Rivera; Santiago Grau; Paul G Ambrose; Antonio Oliver; Juan P Horcajada
Journal:  Antimicrob Agents Chemother       Date:  2020-03-24       Impact factor: 5.191

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