Variation in fluoroquinolone pharmacodynamic parameter values among isolates of two bacterial pathogens of bovine respiratory disease

Abstract To design an antimicrobial treatment regimen for a bacterial disease, data on the drug pharmacodynamics (PD) against selected drug-susceptible strains of the pathogen are used. The regimen is applied across such strains in the field, assuming the PD parameter values remain the same. We used...

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Autores principales: Xuesong Wen, Ronette Gehring, Jim E. Riviere, Brian V. Lubbers, Tara Nath Gaire, Bre’Anna Wyche, Breanna Fox, Victoria Quichocho, Victoriya V. Volkova
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Publicado: Nature Portfolio 2018
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spelling oai:doaj.org-article:7175942a7a9345c482060723f665c4182021-12-02T15:08:29ZVariation in fluoroquinolone pharmacodynamic parameter values among isolates of two bacterial pathogens of bovine respiratory disease10.1038/s41598-018-28602-82045-2322https://doaj.org/article/7175942a7a9345c482060723f665c4182018-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-28602-8https://doaj.org/toc/2045-2322Abstract To design an antimicrobial treatment regimen for a bacterial disease, data on the drug pharmacodynamics (PD) against selected drug-susceptible strains of the pathogen are used. The regimen is applied across such strains in the field, assuming the PD parameter values remain the same. We used time-kill experiments and PD modeling to investigate the fluoroquinolone enrofloxacin PD against different isolates of two bovine respiratory disease pathogens: four Mannheimia haemolytica and three Pasteurella multocida isolates. The models were fitted as mixed-effects non-linear regression; the fixed-effects PD parameter values were estimated after accounting for random variation among experimental replicates. There was both inter- and intra- bacterial species variability in the PD parameters Hill-coefficient and E max (maximal decline of bacterial growth rate), with more variable PD responses among M. haemolytica than among P. multocida isolates. Moreover, the Hill-coefficient was correlated to the isolate’s maximal population growth rate in the absence of antimicrobial exposure (a.k.a. specific growth rate; Spearman’s ρ = 0.98, p-value = 0.003, n = 6 isolates excluding one outlier). Thus, the strain’s properties such as growth potential may impact its PD responses. This variability can have clinical implications. Modifying the treatment regimen depending on phenotypic properties of the pathogen strain causing disease may be a precision medicine approach.Xuesong WenRonette GehringJim E. RiviereBrian V. LubbersTara Nath GaireBre’Anna WycheBreanna FoxVictoria QuichochoVictoriya V. VolkovaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Xuesong Wen
Ronette Gehring
Jim E. Riviere
Brian V. Lubbers
Tara Nath Gaire
Bre’Anna Wyche
Breanna Fox
Victoria Quichocho
Victoriya V. Volkova
Variation in fluoroquinolone pharmacodynamic parameter values among isolates of two bacterial pathogens of bovine respiratory disease
description Abstract To design an antimicrobial treatment regimen for a bacterial disease, data on the drug pharmacodynamics (PD) against selected drug-susceptible strains of the pathogen are used. The regimen is applied across such strains in the field, assuming the PD parameter values remain the same. We used time-kill experiments and PD modeling to investigate the fluoroquinolone enrofloxacin PD against different isolates of two bovine respiratory disease pathogens: four Mannheimia haemolytica and three Pasteurella multocida isolates. The models were fitted as mixed-effects non-linear regression; the fixed-effects PD parameter values were estimated after accounting for random variation among experimental replicates. There was both inter- and intra- bacterial species variability in the PD parameters Hill-coefficient and E max (maximal decline of bacterial growth rate), with more variable PD responses among M. haemolytica than among P. multocida isolates. Moreover, the Hill-coefficient was correlated to the isolate’s maximal population growth rate in the absence of antimicrobial exposure (a.k.a. specific growth rate; Spearman’s ρ = 0.98, p-value = 0.003, n = 6 isolates excluding one outlier). Thus, the strain’s properties such as growth potential may impact its PD responses. This variability can have clinical implications. Modifying the treatment regimen depending on phenotypic properties of the pathogen strain causing disease may be a precision medicine approach.
format article
author Xuesong Wen
Ronette Gehring
Jim E. Riviere
Brian V. Lubbers
Tara Nath Gaire
Bre’Anna Wyche
Breanna Fox
Victoria Quichocho
Victoriya V. Volkova
author_facet Xuesong Wen
Ronette Gehring
Jim E. Riviere
Brian V. Lubbers
Tara Nath Gaire
Bre’Anna Wyche
Breanna Fox
Victoria Quichocho
Victoriya V. Volkova
author_sort Xuesong Wen
title Variation in fluoroquinolone pharmacodynamic parameter values among isolates of two bacterial pathogens of bovine respiratory disease
title_short Variation in fluoroquinolone pharmacodynamic parameter values among isolates of two bacterial pathogens of bovine respiratory disease
title_full Variation in fluoroquinolone pharmacodynamic parameter values among isolates of two bacterial pathogens of bovine respiratory disease
title_fullStr Variation in fluoroquinolone pharmacodynamic parameter values among isolates of two bacterial pathogens of bovine respiratory disease
title_full_unstemmed Variation in fluoroquinolone pharmacodynamic parameter values among isolates of two bacterial pathogens of bovine respiratory disease
title_sort variation in fluoroquinolone pharmacodynamic parameter values among isolates of two bacterial pathogens of bovine respiratory disease
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/7175942a7a9345c482060723f665c418
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