2016
DOI: 10.3389/fmicb.2016.00653
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The PK/PD Interactions of Doxycycline against Mycoplasma gallisepticum

Abstract: Mycoplasma gallisepticum is one of the most important pathogens that cause chronic respiratory disease in chicken. This study investigated the antibacterial activity of doxycycline against M. gallisepticum strain S6. In static time–killing studies with constant antibiotic concentrations [0–64 minimum inhibitory concentration (MIC)], M. gallisepticum colonies were quantified and kill rates were calculated to estimate the drug effect. The half-life of doxycycline in chicken was 6.51 ± 0.63 h. An in vitro dynamic… Show more

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Cited by 33 publications
(39 citation statements)
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References 39 publications
(42 reference statements)
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“…MIC values in the present study using the liquid method were similar to previous studies [13, 18, 23, 24]. For the five antimicrobial agents, the MIC determination for tilmicosin was very sensitive to inoculum effects.…”
Section: Discussionsupporting
confidence: 88%
“…MIC values in the present study using the liquid method were similar to previous studies [13, 18, 23, 24]. For the five antimicrobial agents, the MIC determination for tilmicosin was very sensitive to inoculum effects.…”
Section: Discussionsupporting
confidence: 88%
“…They showed that polymyxin B had rapid and concentration-dependent bactericidal activity against P. aeruginosa, and that the effect was diminished if the amount of bacteria was increased. Also, study of the effect of doxycycline against Mycoplasma gallisepticum in an in vitro model led to the determination of the optimal PK/PD parameters to prevent drug resistance [26].…”
Section: Discussionmentioning
confidence: 99%
“…Li et al (2016) investigated the PK/PD relationship of cefquinome against Staphylococcus aureus using an in vitro PK/PD model, whereas this model was suited for the bacteria growing rapidly. To decrease the error of efficacy assessment caused by pumping out the medium, an in vitro PK/PD model can be set to change incrementally towards a dialysis model (Nan et al, 2016). Previous studies tested the dialysis model and showed that it overcame the above-mentioned error and also maintained a constant volume.…”
Section: Discussionmentioning
confidence: 99%