Literature DB >> 11177729

Use of Modeling Techniques to Aid in Antibiotic Selection.

Alexander A. Firsov1, Stephen H. Zinner.   

Abstract

Over the past decade, the use of modeling techniques in the development of novel antibiotics has been primarily associated with in vitro dynamic models. These models allow comparisons among different antibiotics by simulating human pharmacokinetics. Although dynamic models have been used extensively, their full potential has not been achieved because of inadequate experimental design and/or suboptimal quantitation of bacterial killing/regrowth curves inherent in many studies. These issues are discussed in this review, which is based on recent pharmacodynamic findings with novel fluoroquinolones.

Entities:  

Year:  2001        PMID: 11177729     DOI: 10.1007/s11908-001-0057-9

Source DB:  PubMed          Journal:  Curr Infect Dis Rep        ISSN: 1523-3847            Impact factor:   3.725


  36 in total

1.  Pharmacokinetics and pharmacodynamics of oral grepafloxacin in patients with acute bacterial exacerbations of chronic bronchitis.

Authors:  A Forrest; S Chodosh; M A Amantea; D A Collins; J J Schentag
Journal:  J Antimicrob Chemother       Date:  1997-12       Impact factor: 5.790

2.  Pharmacodynamics of chemotherapeutic effects: dose-time-response relationships for phase-nonspecific agents.

Authors:  W J Jusko
Journal:  J Pharm Sci       Date:  1971-06       Impact factor: 3.534

3.  Prediction of the antimicrobial effects of trovafloxacin and ciprofloxacin on staphylococci using an in-vitro dynamic model.

Authors:  A A Firsov; R G Vasilov; S N Vostrov; O V Kononenko; I Y Lubenko; S H Zinner
Journal:  J Antimicrob Chemother       Date:  1999-04       Impact factor: 5.790

4.  Comparative study with enoxacin and netilmicin in a pharmacodynamic model to determine importance of ratio of antibiotic peak concentration to MIC for bactericidal activity and emergence of resistance.

Authors:  J Blaser; B B Stone; M C Groner; S H Zinner
Journal:  Antimicrob Agents Chemother       Date:  1987-07       Impact factor: 5.191

5.  In vivo verification of in vitro model of antibiotic treatment of device-related infection.

Authors:  J Blaser; P Vergères; A F Widmer; W Zimmerli
Journal:  Antimicrob Agents Chemother       Date:  1995-05       Impact factor: 5.191

6.  Correlation of pharmacokinetic parameters to efficacy of antibiotics: relationships between serum concentrations, MIC values, and bacterial eradication in patients with gram-negative pneumonia.

Authors:  J J Schentag
Journal:  Scand J Infect Dis Suppl       Date:  1990

7.  Comparative pharmacodynamics of gatifloxacin and ciprofloxacin in an in vitro dynamic model: prediction of equiefficient doses and the breakpoints of the area under the curve/MIC ratio.

Authors:  S N Vostrov; O V Kononenko; I Y Lubenko; S H Zinner; A A Firsov
Journal:  Antimicrob Agents Chemother       Date:  2000-04       Impact factor: 5.191

8.  Twenty-four-hour area under the concentration-time curve/MIC ratio as a generic predictor of fluoroquinolone antimicrobial effect by using three strains of Pseudomonas aeruginosa and an in vitro pharmacodynamic model.

Authors:  K J Madaras-Kelly; B E Ostergaard; L B Hovde; J C Rotschafer
Journal:  Antimicrob Agents Chemother       Date:  1996-03       Impact factor: 5.191

9.  Pharmacodynamics of a fluoroquinolone antimicrobial agent in a neutropenic rat model of Pseudomonas sepsis.

Authors:  G L Drusano; D E Johnson; M Rosen; H C Standiford
Journal:  Antimicrob Agents Chemother       Date:  1993-03       Impact factor: 5.191

Review 10.  Interrelationship between pharmacokinetics and pharmacodynamics in determining dosage regimens for broad-spectrum cephalosporins.

Authors:  W A Craig
Journal:  Diagn Microbiol Infect Dis       Date:  1995 May-Jun       Impact factor: 2.803

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  3 in total

1.  Comparative pharmacodynamics and antimutant potentials of doripenem and imipenem with ciprofloxacin-resistant Pseudomonas aeruginosa in an in vitro model.

Authors:  Alexander A Firsov; Deborah Gilbert; Kenneth Greer; Yury A Portnoy; Stephen H Zinner
Journal:  Antimicrob Agents Chemother       Date:  2011-12-27       Impact factor: 5.191

2.  Bactericidal activities of methoxyfluoroquinolones gatifloxacin and moxifloxacin against aerobic and anaerobic respiratory pathogens in serum.

Authors:  Gary E Stein; Sharon Schooley; Kerin L Tyrrell; Diane M Citron; Ellie J C Goldstein
Journal:  Antimicrob Agents Chemother       Date:  2003-04       Impact factor: 5.191

3.  Time-programmable drug dosing allows the manipulation, suppression and reversal of antibiotic drug resistance in vitro.

Authors:  Mari Yoshida; Sabrina Galiñanes Reyes; Soichiro Tsuda; Takaaki Horinouchi; Chikara Furusawa; Leroy Cronin
Journal:  Nat Commun       Date:  2017-06-08       Impact factor: 14.919

  3 in total

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