Literature DB >> 20660692

In vitro pharmacokinetic and pharmacodynamic evaluation of S-013420 against Haemophilus influenzae and Streptococcus pneumoniae.

Tomoyuki Homma1, Toshihiko Hori, Merime Ohshiro, Hideki Maki, Yoshinori Yamano, Jingoro Shimada, Shogo Kuwahara.   

Abstract

The pharmacokinetic (PK)/pharmacodynamic (PD) parameters and the antibacterial activity of S-013420, a novel bicyclolide, against Haemophilus influenzae and Streptococcus pneumoniae, including macrolide-resistant isolates, were investigated using an in vitro PD model. Various time-concentration curves were artificially constructed by modifying the PK data obtained in phase I studies. The activity against H. influenzae was evaluated using two parameters, that is, the area above the killing curve (AAC) and the viable cell reduction at 24 h. The relationships between the antibacterial activity of S-013420 and the three PK/PD parameters were investigated by fitting the data to the sigmoid maximum effective concentration model. The square of the correlation coefficient (R(2)) values for AAC versus the area under the concentration-time curve from 0 to 24 h (AUC(0-24))/MIC, the peak concentration (C(max))/MIC, and the cumulative percentage of a 24-h period that the drug concentration exceeded the MIC under steady-state PK conditions (%T(MIC)) were 0.92, 0.87, and 0.49, respectively. The R(2) values for viable cell reduction at 24 h versus AUC(0-24)/MIC, C(max)/MIC, and %T(MIC) were 0.93, 0.61, and 0.56, respectively. These results demonstrated that AUC(0-24)/MIC is the most significant parameter for evaluation of the antibacterial activity of S-013420. The values of AUC(0-24)/MIC required for maximum and static efficacy were 10.8 and 9.63, respectively, for H. influenzae and 16.3 to 22.3 and 4.66 to 9.01, respectively, for S. pneumoniae. This analysis is considered useful for determining the AUC value at the infection site, which would be required for efficacy in clinical use.

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Year:  2010        PMID: 20660692      PMCID: PMC2944617          DOI: 10.1128/AAC.00214-10

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


  25 in total

Review 1.  Predicting antibacterial response from pharmacodynamic and pharmacokinetic profiles.

Authors:  D P Nicolau
Journal:  Infection       Date:  2001-12       Impact factor: 3.553

Review 2.  In vitro models, in vivo models, and pharmacokinetics: what can we learn from in vitro models?

Authors:  A MacGowan; C Rogers; K Bowker
Journal:  Clin Infect Dis       Date:  2001-09-15       Impact factor: 9.079

Review 3.  Optimisation of antimicrobial therapy using pharmacokinetic and pharmacodynamic parameters.

Authors:  M R Jacobs
Journal:  Clin Microbiol Infect       Date:  2001-11       Impact factor: 8.067

Review 4.  Developments in PK/PD: optimising efficacy and prevention of resistance. A critical review of PK/PD in in vitro models.

Authors:  Alasdair MacGowan; Karen Bowker
Journal:  Int J Antimicrob Agents       Date:  2002-04       Impact factor: 5.283

Review 5.  Animal model pharmacokinetics and pharmacodynamics: a critical review.

Authors:  D Andes; W A Craig
Journal:  Int J Antimicrob Agents       Date:  2002-04       Impact factor: 5.283

6.  In vitro antibacterial activities of S-013420, a novel bicyclolide, against respiratory tract pathogens.

Authors:  Tomoyuki Homma; Takaji Fujimura; Hideki Maki; Yoshinori Yamano; Jingoro Shimada; Shogo Kuwahara
Journal:  J Antimicrob Chemother       Date:  2010-05-14       Impact factor: 5.790

7.  Macrolide-resistant Streptococcus pneumoniae in Canada during 1998-1999: prevalence of mef(A) and erm(B) and susceptibilities to ketolides.

Authors:  D J Hoban; A K Wierzbowski; K Nichol; G G Zhanel
Journal:  Antimicrob Agents Chemother       Date:  2001-07       Impact factor: 5.191

8.  Pharmacokinetic and pharmacodynamic parameters for antimicrobial effects of cefotaxime and amoxicillin in an in vitro kinetic model.

Authors:  I Gustafsson; E Löwdin; I Odenholt; O Cars
Journal:  Antimicrob Agents Chemother       Date:  2001-09       Impact factor: 5.191

9.  Pharmacodynamic assessment of clarithromycin in a murine model of pneumococcal pneumonia.

Authors:  Pamela R Tessier; Myo-Kyoung Kim; Wen Zhou; Dawei Xuan; Chonghua Li; Min Ye; Charles H Nightingale; David P Nicolau
Journal:  Antimicrob Agents Chemother       Date:  2002-05       Impact factor: 5.191

10.  Pharmacodynamic activity of azithromycin against macrolide-susceptible and -resistant Streptococcus pneumoniae simulating clinically achievable free serum, epithelial lining fluid and middle ear fluid concentrations.

Authors:  George G Zhanel; Mel DeCorby; Ayman Noreddin; Chris Mendoza; Andrew Cumming; Kim Nichol; Aleksandra Wierzbowski; Daryl J Hoban
Journal:  J Antimicrob Chemother       Date:  2003-05-29       Impact factor: 5.790

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  3 in total

1.  Activities of Cefiderocol with Simulated Human Plasma Concentrations against Carbapenem-Resistant Gram-Negative Bacilli in an In Vitro Chemostat Model.

Authors:  Shuhei Matsumoto; Sachi Kanazawa; Takafumi Sato; Yoshinori Yamano
Journal:  Antimicrob Agents Chemother       Date:  2020-10-20       Impact factor: 5.191

2.  Pharmacokinetic-Pharmacodynamic Characterization of Omadacycline against Haemophilus influenzae Using a One-Compartment In Vitro Infection Model.

Authors:  Brian D VanScoy; Elizabeth A Lakota; Haley Conde; Jennifer McCauley; Lawrence Friedrich; Judith N Steenbergen; Paul G Ambrose; Sujata M Bhavnani
Journal:  Antimicrob Agents Chemother       Date:  2020-05-21       Impact factor: 5.191

3.  Pharmacokinetics of Macrolide Antibiotics and Transport into the Interstitial Fluid: Comparison among Erythromycin, Clarithromycin, and Azithromycin.

Authors:  Shinji Kobuchi; Teruhiko Kabata; Koki Maeda; Yukako Ito; Toshiyuki Sakaeda
Journal:  Antibiotics (Basel)       Date:  2020-04-22
  3 in total

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