Skip to content

Advertisement

  • Research article
  • Open Access

Response of a clinical Escherichia coli strain to repeated cefquinome exposure in a piglet tissue-cage model

  • 1,
  • 1,
  • 1,
  • 1,
  • 1,
  • 1,
  • 1 and
  • 1Email author
BMC Veterinary Research201511:169

https://doi.org/10.1186/s12917-015-0486-6

©  Gu et al. 2015

  • Received: 4 February 2015
  • Accepted: 16 July 2015
  • Published:

Abstract

Background

In order to provide some basis for effective dosage regimens that optimize efficacy with respect to bacteriological and clinical cures, the in vivo activity of cefquinome against a clinical Escherichia coli (E.coli) strain (the minimum inhibitory concentration value for this strain equals to the MIC90 value of 0.25 μg/ml for 210 E.coli strains isolated from pigs) was investigated by using a piglet tissue-cage infection model. The aim was to elucidate the pharmacokinetic/pharmacodynamics (PK/PD) index associated with cefquinome efficacy, and then to identify the magnitude of the PK/PD parameter required for different degree of efficacy in clinical treatment.

Results

Tissue-cage infection model was established in piglets, and then the animals received intramuscular injection of cefquinome twice a day for 3 days to create a range of different drug exposures. The tissue-cage fluid was collected at 1, 3, 6, 9 and 12 h after every drug administration for drug concentration determination and bacteria counting. Different cefquinome regimens produced different percentages of time during that drug concentrations exceeded the MIC (%T > MIC), ranging from 0 % to 100 %. Cefquinome administration at 0.2, 0.4, 0.6, 0.8, 1, 2 and 4 mg/kg reduced the bacterial count (log10 CFU/mL) in tissue-cage fluid by −1.00 ± 0.32, −1.83 ± 0.08, −2.33 ± 0.04, −2.96 ± 0.16, −2.99 ± 0.16, −2.93 ± 0.11, −3.43 ± 0.18, respectively. The correlation coefficient of the PK/PD index with antibacterial effect of the drug was 0.90 for %T > MIC, 0.62 for AUC0–12/MIC, and 0.61 for Cmax/MIC, suggesting the most important PK/PD parameter was %T > MIC. A inhibitory form of sigmoid maximum effect (Emax) model was used to estimate %T > MIC, and the respective values required for continuous 1/6-log drop, 1/3-log drop and 1/2-log drop of the clinical E.coli count during each 12 h treatment period were 3.97 %, 17.08 % and 52.68 %.

Conclusions

The data derived from this study showed that cefquinome exhibited time-dependent killing profile. And from the results of the present study, it can be assumed that when %T > MIC reached 52.68 %, cefquinome could be expected to be effective against a clinical E.coli strain for which the MIC value is below 0.128 μg/ml (3-log drop of bacteria count can be achieved after six successive administrations for 3 days).

Keywords

  • Tissue-cage model
  • in vivo PK/PD
  • Cefquinome
  • A clinical Escherichia coli strain
  • Piglets

Background

Overuse and misuse of antimicrobial drugs have favoured the growth of resistant organisms. Resistance can spread to other microbial populations (including those bacteria not previously exposed to antimicrobial agents), jeopardizing humans and animals. Among the documented misuses contributing to drug resistance are inappropriate dosage regimens (dose, dosage interval, duration of treatment, route and conditions of administration) (Anonymous 1998). Rational antibiotic therapy requires dosage regimens to be optimized, not only to guarantee clinical efficacy, but also to minimize the selection and spread of resistant pathogens [1].

Jacobs thought pharmacokinetics (PK) and pharmacodynamics (PD) should be considered to establish optimal dosing regimens for antimicrobials [2]. Besides, Toutain and Lees thought that the parameters derived from PK/PD modelling may be used as an alternative and preferred approach to dose titration studies for selecting rational dosage regimens (both dose and dosing interval) for further evaluation in clinical trials [3].

Since 1935 when Domagk demonstrated that prontosil provided effective therapy in a murine pneumococcal infection model, the use of animal infection models has become an integral part of the evaluation of new antimicrobial agents and new therapeutic approaches for clinical trials in humans. Compared with in vitro studies, animal models provide a dynamic interaction of multiple factors relating to the host, drug and pathogens [4]. Tissue cages were first used by Guyton [5] to study interstitial fluid physiology and composition. In the veterinary field, the tissue-cage model has been used to study the PK/PD integration of antimicrobial drugs in several species, such as sheep [6], goats [7], pigs [8, 9] and calves [10, 11].

Cefquinome is a fourth generation broad-spectrum cephalosporin developed solely for veterinary use and approved for the treatment of respiratory tract disease, acute mastitis and foot rot in cattle, calf septicemia, metritis-mastitis-agalactia syndrome in sows and respiratory diseases in pigs [12, 13]. It also has been used to prevent severe pneumonia in piglets (caused by pathogens such as Actinobacillus pleuropneumonia, Klebsiella pneumonia, and Streptococcus pneumonia) and to establish pig herds free of pneumonia by combining its use with strategic vaccination [14].

Although PK and ex vivo PD of cefquinome against Escherichia coli (E.coli) 25922 has been explored previously [9], there is no report so far concerning the in vivo PK/PD analysis of cefquinome in piglets. Previous studies about in vivo PK/PD of the antibacterial agent were mostly against various standard strains, hardly any against the clinical bacterial strains. Therefore, in the present study, we collected 210 E.coli clinical strains isolated from pigs with common colibacillosis, and one strain whose minimum inhibitory concentration (MIC) equals to the MIC90 of 210 strains was used for tissue-cage infection model. After the tissue-cage infection model was established, the animals were treated with multiple dosing, which was consistent with the actual situation of clinical treatment. The aim of this study was to characterize the PK/PD parameter that is predictive of the efficacy of cefquinome against the clinical E.coli strain in a piglet tissue-cage infection model for the first time. Furthermore, magnitude of the PK/PD parameter will also be determined for bactericidal efficacy in clinical treatment. It is proposed that these findings can provide a rational approach to designing dosage schedules that optimize efficacy with respect to bacteriological and clinical cures.

Methods

The selection of the test strain

In this study, 210 E.coli strains isolated from pigs with common colibacillosis were used to determine the MIC90 value. The MIC values were determined by an agar dilution method as a preliminary screening, according to Clinical and Laboratory Standards Institute (CLSI) reference methods [15]. Strains whose MIC values equal to the MIC90 value of 210 strains were selected for pathogenicity test.

Pathogenicity test (the license number: SCXK 2011–0015) was carried out with 30 Kunming mice (SPF grade, specific pathogen free grade) purchased from animal experimental center of southern medical university. Every three mice were infected by intraperitoneal injection of 0.2 mL E.coli saline suspension (1 × 109 colony-forming unit, CFU/mL). The blank control group was given the same amount of saline. The mice were observed every 3 h after the injection until 72 h. If there were two or three mice dead in a group, then the inoculant given to this group was considered to be of high pathogenicity. The dead mice were dissected, and gram staining, microscopy and biochemical identification were carried out for the bacteria isolated from liver to determine whether the acquisition was the same as the inoculant.

The bacteria strain that was considered to be of high pathogenicity was selected out. In the present study, the bacterium was inoculated into the tissue-cage. Since cefquinome acts on the bacterium in the tissue-cage fluid, we need to measure the MIC of cefquinome against the selected strain in the tissue-cage fluid. Due to the tissue-cage fluid was limited, we determined the MIC once again by a micro dilution assay, and the matrix was the tissue-cage fluid.

The target strain was sent to Guangzhou King med Center for Clinical Laboratory Co., Ltd. for further bacterial identification, and the detection method was GB/T4789.6-2003.

Antimicrobials, chemicals

Cefquinome Sulfate Injection (Cobactan, the Batch Number A621B01) was purchased from Merck&Co. INC. Cefquinome standard was purchased from China Institute of Veterinary Drugs Control, (Beijing, P.R. China). Pentobarbital sodium was from Jian Yang Biotechnology Co., Ltd. Procainamide hydrochloride was purchased from Xin zheng Co., Ltd., Tianjin Pharmaceutical Group.

Animals and surgical procedures

Sixteen healthy castrated cross-bred piglets (Duroc × Landrace × Yorkshire) were used, weighing 25-30 kg. They were housed in a ventilated barn individually. Each animal was fed antibiotic-free food (guangchubao premix feed for pig, Guangzhou Zhongwang Feed Company) twice a day and water was available ad libitum. The tissue cages were prepared from medical grade silicone rubber tubing and modified slightly from similar cages described by Sidhu [16]. The length of the tissue cage was 65 mm, the internal and external diameter were 13 mm and 18 mm, respectively. Each cage had 24 identical holes and the surface area of each hole was 9.6 mm2, therefore the total exchange surface was 2.3 cm2. Two sterile tissue cages were implanted subcutaneously in each animal, one on each side of the neck approximately equidistant from the jugular vein and spinal cord. Surgical insertion was carried out under deep general anesthesia induced with pentobarbital sodium and local infiltration anesthesia by the injection of procainamide hydrochloride. Animals were allowed to recover from surgery for 3–4 weeks to permit wound healing and the growth of granulation tissue into and around the cages. After the surgery, piglets were treated with intramuscular penicillin twice a day for 3 days to prevent infection. The compound aminopyrine injection was administrated for post-operative analgesia simultaneously. About 3–4 weeks after implantation, the surface of the cage becomes encapsulated by connective tissue, and the interior is filled with tissue-cage fluid. All procedures involving animals were conducted under the close supervision and guidance of an experienced veterinary surgeon. The experimental protocol was approved by the Committee on the Ethics of animals of South China Agricultural University (Approval number 2014–04; 10 February 2014).

Animal infection and treatment

Before the infection experiment, 0.5 mL tissue-cage fluid was sampled from the tissue cage to confirm the tissue-cage fluid was sterile. The animal with bacterial present in the tissue-cage fluid before inoculation of E.coli was excluded from the study. In the current study, no piglets were excluded from this study due to a prior infection within the tissue cage. The tissue cages were inoculated with 1 mL of E.coli saline suspension (1.4 × 108 CFU/mL). The piglets remained infected without treatment for two days.

Animals were divided randomly into 8 groups (2 piglets, 4 tissue cages/group). Cefquinome sulfate injection was administrated intramuscularly at different dosage for different group after bacterial infection. Seven doses (0.2, 0.4, 0.6, 0.8, 1, 2, 4 mg/kg) of cefquinome were given (twice a day for 3 days) to create a range of different drug exposures. The control group received sterile physiological saline (1 mL) simultaneously in the same way.

Bacteriological examination of tissue-cage fluid

A 0.5 mL sample of tissue-cage fluid was removed from the tissue cage prior to every drug administration during the whole treatment and 12 h, 24 h and 36 h after the last treatment. Within 1 h after sampling, 100 μL of the tissue-cage fluid was serially 10-fold diluted in sterile physiological saline. From each dilution, 0.1 mL was plated onto MacConkey Agar Plate for overnight incubation at 37 °C for manual colony counts. The theoretical limit of detection of this procedure was 20 CFU/mL. The efficacy of cefquinome was calculated as the decrease in the amount of the bacteria over 3 days of treatment compared with the bacteria levels before the treatment.

The emergence of resistance under the dosing regimens in this study was assessed by measuring the MIC for E.coli recovered from tissue-cage fluid over the 3-day treatment period and 24 h posttreatment observation period. The MIC of cefquinome for the test strain was determined in duplicate using the micro dilution technique established by the CLSI [15].

Pharmacokinetic sampling and drug analysis

The tissue-cage fluid sample (0.5 mL) was collected from the inserted tissue cages with a syringe at 1, 3, 6, 9 and 12 h after each dosing. Samples were clarified by centrifugation at 3000 g for 10 min and stored at −20 °C until analyzed.

Cefquinome concentrations in tissue-cage fluid were analyzed by an Agilent 1200 series high performance liquid chromatography and an Agilent 6400 triple quadrupole mass spectrometer equipped with an electrospray ionization source (high performance liquid chromatography tandem mass spectrometry, HPLC-MS/MS, Agilent Technologies, and USA). The chromatographic separation was achieved on a Phenonenex BDS C18 column (150 mm × 2 mm; internal diameter, 5 μm, Phenomenex Technologies) at 40 °C with a thermostat column oven (Agilent 1200 series, Agilent Technologies). The mobile phase consisted of solution A (water with 0.1 % formic acid, V/V) and solution B (acetonitrile) at 0.25 mL/min flow rate. The gradient elution was: 0–1 min, 5 % B; 1–5.5 min, 60 % B; 5.5-10 min, 5 % B. The injection volume was 5 μL. All tissue-cage fluid samples were allowed to thaw at room temperature prior to analysis and then aliquots 200 μL tissue-cage fluid were added to a 1.5 mL micro centrifuge tube. Protein precipitation was accomplished by adding the same volume acetonitrile to the samples. After vorexing for 30s, and centrifuging at 3000 g for 10 min. 200 μL clear supernatant were pipetted into a fresh vial and 800 μL of water were added. After vortex-mixing for 15 s, the samples were filtered through a 0.22 μm nylon syringe filter (JinTeng Experiment Equipment Company) and then injected into an auto sampler vial. Cefquinome quantification in the tissue-cage fluid was linear within a range of 25–5000 ng/mL and the correlation coefficieent was >0.99. The lower limit of quantitation was 5 ng/mL. The recoveries of cefquinome in tissue-cage fluid were 90.2 ± 3.17 % (mean ± standard deviation, n = 5). The coefficients of variability (CV %) were all < 8 % for both intra-assay and inter-assay variation.

Pharmacokinetics/pharmacodynamics (PK/PD) integration and modeling

The PK/PD parameters, i.e., %T > MIC, AUC0–12/MIC (AUC, area under the curve) and Cmax/MIC (Cmax, the maximum concentration) were calculated for each tissue cage, from 0 to 12 h after every drug administration. This is due to the dosage regimens. In this study, we treated the animals with continuous multiple dosing (twice a day for 3 days), with the dosing interval of 12 h. %T > MIC (the percentage of time that drug concentration remains above the MIC) and Cmax (the maximum concentration measured in the tissue-cage fluid) were taken directly from the concentration-time profiles. AUC0–12, the area under the concentration-time curve, was calculated by the trapezoidal rule. The dose–response effect of the drug was analyzed by fitting the %T > MIC, AUC0–12/MIC and Cmax/MIC ratio versus the reduction of bacteria count with a inhibitory form of the sigmoid Emax model, through which we can further elucidate the PK/PD indices required for various degrees of antibacterial efficacy. The equation used to characterize the PK/PD parameters and log10CFU/mL could be described as the following:
$$ E={E}_{max}-\frac{\left({E}_{max}-{E}_0\right)\times {C}_e^N}{C_e^N+E{C}_{50}^N} $$

Where E is the antibacterial effect, defined as the change of bacterial count (log10 CFU/mL) after every drug administration (during 12 h treatment period); E max is the change of bacterial count in control sample (absence of cefquinome) after 12 h incubation; E 0 is the maximum antibacterial effect, determined as the maximum change of bacterial count every 12 h; C e is the PK/PD parameter being examined (e.g., %T > MIC, AUC0–12/MIC, or Cmax/MIC); EC 50 is the value of PK/PD index of drug producing 50 % of the maximum antibacterial effect, and N is the Hill coefficient that describes the steepness of the effect curve. These PD indices were calculated by running the WinNonlin (Pharsight Corporation, Mountain View, CA, USA) sigmoid E max model to fit the experimental data collected. Nonlinear regression analysis was used to determine which PK/PD index best correlated with the bacterial reduction. Spearman’s rank correlation coefficient was calculated to evaluate the relationship between drug efficacy and the PK/PD indices.

Results

MICs of cefquinome for 210 clinical E.coli strains

The MICs of cefquinome for 210 clinical E.coli strains were shown in Table 1. From the above results, it can be determined that the MIC90 value was 0.25 μg/mL. So there were nine strains of bacteria meeting the requirements. In the pathogenicity test, bacteria derived from the dead mice were confirmed to be the same as the inoculant. One strain with highly pathogenicity was selected from nine inoculations. The MIC value of the strain in tissue-cage fluid was further measured to be 0.128 μg/mL. The Serotype of the strain was identified by Guangzhou King med Center for Clinical Laboratory Co., Ltd. The bacteriology type was EIEC (Enter invasive Escherichia Coli) and the serotype was O29 (report number was HT14020480-1).
Table 1

The MICs of cefquinome for 210 clinical E.coli strains

MIC(μg/mL)

Number of strains

Cumulative strains

0.0325

53

53

0.0625

102

155

0.125

30

185

0.25

9

194 (>189)

0.5

4

198

1

3

201

2

6

207

4

3

210

The MIC values were determined by an agar dilution method. From the above results, it can be determined that the MIC90 value was 0.25 μg/ml

The pharmacokinetics of cefquinome

The mean values of AUC0–12 and Cmax of cefquinome in the tissue-cage fluid following multiple dosing at 0.2, 0.4, 0.6, 0.8, 1, 2 and 4 mg/kg of body weight are shown in Table 2. The time course of cefquinome concentrations in the tissue-cage fluid was analyzed using the noncompartmental method. The AUC0–12 and Cmax in the tissue-cage fluid increased in a nonlinear fashion with dose escalation. The AUCs from 0 to 12 h after every administration, as determined by trapezoidal rule, ranged from 1.346 ± 0.046 to 20.73 ± 0.064 μg · h/L. The peak concentrations were directly observed from the concentration-time curve, ranging from 0.135 ± 0.004 to 2.069 ± 0.070 μg/mL.
Table 2

The pharmacokinetics parameters of cefquinome following multiple-dose in the E.coli-infected piglets

Cefquinome dose

AUC0–12

Cmax

(mg/kg of body weight)

(μg · h/mL)

(μg/mL)

0.2

1.346 ± 0.046

0.135 ± 0.004

0.4

1.553 ± 0.066

0.170 ± 0.007

0.6

2.802 ± 0.044

0.286 ± 0.001

0.8

3.693 ± 0.088

0.396 ± 0.008

1

4.230 ± 0.013

0.448 ± 0.003

2

11.157 ± 0.048

1.175 ± 0.024

4

20.730 ± 0.0640

2.069 ± 0.070

The AUC0–12 and Cmax were the mean values of multiple-dose (six times). AUC0–12, area under the concentration-time curve from 0 to 12 h after every administration, was determined by use of the trapezoidal rule; the Cmax was directly from the concentration-time curve of every administration. The values shown are means ± standard deviations

PK and PD parameter determination

The efficacy of cefquinome was assessed by determining the number of viable bacteria in the tissue-cage fluid over 3-day dosing period. The antibacterial time-kill curves are shown in Fig. 1. Cefquinome administrated at 0.2, 0.4, 0.6, 0.8, 1, 2 and 4 mg/kg reduced the bacterial count (log10 CFU/mL) in tissue-cage fluid by −1.00 ± 0.32, −1.83 ± 0.08, −2.33 ± 0.04, −2.96 ± 0.16, −2.99 ± 0.16, −2.93 ± 0.11, −3.43 ± 0.18, respectively. In detail, the reduction of bacterial count after every drug administration (at 12 h intervals) is shown in Table 3. The bacterial density in the tissue-cage fluid of untreated controls approximately remained at 107 CFU/ml during the whole course of treatment. Besides, for the E.coli recovered from the tissue-cage fluid over the 3-day treatment and 24 h posttreatment observation period, the MIC value did not change, that is to say, the bacterial strain remained susceptible to cefquinome throughout the study period.
Fig. 1
Fig. 1

The antibacterial time-kill curve of cefquinome in the tissue-cage model. Two days after infection, seven doses (0.2, 0.4, 0.6, 0.8, 1, 2, 4 mg/kg) of cefquinome were given twice a day for 3 days (indicated by the arrow). The bacterial count in the tissue-cage fluid was monitored every 12 h, prior to every drug administration during the whole treatment and 12 h, 24 h and 36 h after the last treatment. The values are means ± standard deviations (two piglets, four tissue-cages)

Table 3

The reduction of bacteria count for each every drug administration at seven dosages

Times of drug administration

Doses (mg/kg of body weight)

0.2

0.4

0.6

0.8

1

2

4

1st

−0.08

−0.08

−0.10

−0.26

−0.62

−0.56

−0.36

2nd

−0.08

−0.07

−0.38

−0.62

−0.26

−0.48

−0.71

3rd

−0.10

−0.16

−0.57

−0.61

−0.39

−0.36

−0.38

4th

−0.12

−0.43

−0.40

−0.26

−0.72

−0.45

−0.53

5th

−0.12

−0.48

−0.43

−0.57

−0.48

−0.57

−0.82

6th

−0.50

−0.61

−0.45

−0.61

−0.52

−0.51

−0.63

Total

−1.00

−1.83

−2.33

−2.96

−2.99

−2.93

−3.43

The reduction of bacterial count after every drug administration (at 12 h dosing intervals) is expressed in negative value. And the last line is the total reduction of bacterial count after six times of drug administration

The relationships between antibacterial effect and PK/PD parameters (%T > MIC, AUC0–12/MIC, and Cmax/MIC) are shown in Fig. 2. The %T > MIC was the parameter that most strongly correlated with efficacy (R2 = 0.90), whereas the relationship between efficacy and other parameters was not nearly as strong (for AUC0–12/MIC, R2 = 0.62; for Cmax/MIC, R2 = 0.61). In this study with a clinical E.coli strain, even the highest dose levels did not achieve a virtual eradication effect (4-log drop of bacterial count) over 3-day treatment period. The above studies indicated that treatment efficacy depended on the percentage of time that drug concentration remained above the MIC.
Fig. 2
Fig. 2

Relationships between %T > MIC, AUC0–12/MIC, Cmax/MIC and E. E is defined as the reduction of bacterial count after every drug administration, at 12 h dosing intervals. The lines represent the best model fits of the data. R2 is the correlation coefficient

Magnitudes of the PK/PD parameter required for efficacy

The relationships between antibacterial efficacy and %T > MIC were assessed by using the inhibitory sigmoid E max model, and the obtained parameters of E 0, E max, the Hill coefficient and %T > MIC values required for various degrees of antibacterial efficacy are presented in Table 4. The estimated %T > MIC values for continuous 1/6-log drop, 1/3-log drop and 1/2-log drop of bacterial count were 3.97 %, 17.08 % and 52.68 % during 12 h treatment period of cefquinome, respectively.
Table 4

The values of PK/PD parameter and %T > MIC required to achieve various degrees of antibacterial efficacy

Parameters

Values

E max (△log CFU/mL)

0.09

E 0 (△log CFU/mL)

−0.54

E max - E 0 (△log CFU/mL)

0.63

%T > MIC for 1/6-log drop (%)

3.97

%T > MIC for 1/3-log drop (%)

17.08

%T > MIC for 1/2-log drop (%)

52.68

Slope (N)

1.73

E max, the difference of the bacterial count in the control sample (absence of cefquinome); E 0, the maximum antibacterial effect during 12 h treatment period; N, the Hill coefficient that describes the steepness of the effect curve. %T > MIC, the values of cefquinome required to achieve 1/6-log drop, 1/3-log drop and 1/2-log drop against the clinical E.coli strain during 12 h treatment period

Discussion

Antimicrobial PK/PD analyses to identify the PD activity of antimicrobial agents through the integration of the PK properties, in vitro potency (MIC), and outcome is one approach that has proven helpful to the design of effective dosing regimens in humans and animals [4, 17].

Many reports concerning PK/PD studies of antimicrobials against various species of bacteria have been reported, including voriconazole against Candida albicans [18], biapenem against Psudomonas aeruginosa [19], ceftaroline fosamil against Methicillin-Resistant Staphylococcus aureus [20], RWJ-54428 against Staphylococcus aureus, Streptococcus pneumoniae, and Enterococcus faecalis [21], and piperacillin against E.coli [22], cefquinome against Staphylococcus aureus [23].

It has been reported that bacteria have different growth behavior in vitro and in vivo, this event being particularly associated to the medium conditions and the source of substrates. In an in vitro environment, bacteria differ from those cultivated in vivo in the area of amino acid composition, synthesis of toxic metabolites and metabolic rate [22]. The bacteria can adhere to cells and fibers present in the matrix, making the access of the drug more difficult in the in vivo infection model. But in vivo infection model really reflects the interaction between the body, drug and pathogens. Hence, in the current study, we describe the PK/PD profile of cefquinome against a clinical E.coli strain in a more realistic scenario by using an in vivo experimental infection model.

In the preliminary study, we treated the infected animals with a single dose of 0.5, 1 and 2 mg/kg b.w. However, the results were unsatisfactory. After the drug administration, the bacteria counts in the tissue-cage fluid have certain reduction (all less than 1-log for 0.5, 1 and 2 mg/kg) in the first 12 h. But the bacteria count increased again during 12-24 h. The duration of time that the drug inhibited the growth of the bacteria was short. By monitoring the drug concentration, we discovered that with the course of drug elimination, the drug concentration exceeded the MIC momently and then fell below the MIC. Then we treated the infected animals with multiple dosing and reduced the dosing interval to make the T > MIC longer. The experiment results indicated that the values of %T > MIC rose gradually with increasing dosage, varying from 0 % to 100 %.

The previous studies about in vivo PK/PD of the antibacterial agent were mostly against various standard strains, hardly any against a clinical bacterial strain. In this study, we measured the MIC90 of cefquinome for 210 E.coli strains isolated from pigs, and investigated the response of a clinical E.coli strain (the MIC value for this bacteria strain equals to the MIC90 value) to repeated cefquinome exposure in an in vivo experimental infection model. This is critical for optimal dosage regimens to treat the diseases caused by E.coli.

The results of the current multiple-dosing regimen studies confirmed that %T > MIC has a favorable correlation with the efficacy of cefquinome. The results obtained in the present study were consistent with the results of other β-lactams in the previous studies. For instance, Andes [24] reported that the in vitro bactericidal effect was time-dependent and that %T > MIC was an important PK/PD parameter for β-lactams with a weak PAE. There were also studies [25] reporting that cephalosporins act as time-dependent antimicrobials, and the most appropriate PK/PD parameter to describe drug efficacy was the time that the drug concentration exceeds the MIC. As to cefquinome, it has been reported that %T > MIC was the PK/PD index that best described the efficacy of the antibacterial agent in a neutropenic mouse thigh model of Staphylococcus aureus infection [23].

Many in vitro and in vivo PK/PD models have suggested that the magnitude of the %T > MIC is predictive index of cephalosporin efficacy. In those reports, %T > MIC ranges from 25 % to 70 % for defined therapeutic endpoint [26–28]. The previous studies about Ceftaroline fosamil (PPI-0903 or TAK-599) against E.coli 25922 [20] showed that the bacteriostatic effect, a 1-log drop and a 2-log drop were achieved when the %T > MIC reached 32 %, 44 % and 50 %, respectively. With respect to RWJ-54428 against Enterococcus faecalis in the murine neutropenic thigh infection model, it was reported [21] that the ranges of %T > MIC for bacteriostatic and maximal effect (the maximal reduction in bacterial count was 1.7) were 30 % to 46 % and 55 % to 60 %, respectively. The study of cefquinome in a neutropenic mouse thigh model of Staphylococcus aureus infection indicated that the %T > MICs ranged from 30.28 to 36.84 % for bacteriostatic effect, 34.38 to 46.70 % for a 0.5-log drop, and 43.50 to 54.01 % for a 1-log drop [23].

In the current study, an analysis of the results showed that during 12 h treatment period, continuous bacterial count reduction by 1/6-log, 1/3-log and 1/2-log drop were achieved when the %T > MIC reached 3.97 %, 17.08 % and 52.68 %, respectively. These values are not identical to the activities of other cephalosporin. This may be due to different time span (12 h in this study versus 24 h in other studies), or diversity of animal models, different bacteria species or inoculation level in these studies.

Conclusions

The current study characterized the in vivo response of a clinical E.coli strain to cefquinome in a piglet tissue-cage infection model after different dosing. The data derived from this study showed that cefquinome exhibit time-dependent killing against E.coli in an in vivo model, and the most important PK/PD parameter was %T > MIC. From the results of the present study, it can be assumed that when %T > MIC reached 52.68 %, cefquinome could be expected to be effective against bacterial strains for which the MIC value is below the MIC90 of 0.128 μg/ml (3-log drop of bacterial count can be achieved after six times of drug administration, twice a day, 3 days). Since the current study investigated the in vivo PK and PD of cefquinome against a clinical E.coli strain which represents the MIC90 for 210 clinical strains, thus the results are meaningful for designing reasonable clinical treatment regimens.

Abbreviations

E.coli: 

Escherichia coli

MIC: 

Minimum inhibitory concentration

PK: 

Pharmacokinetics

PD: 

Pharmacodynamics

AUC: 

Area under the curve

Cmax : 

The maximum concentration

CFU: 

Colony forming unit

HPLC-MS/MS: 

High performance liquid chromatography tandem mass spectrometry

CV: 

Coefficients of variability

CLSI: 

Clinical and laboratory standards institute

SPF: 

Specific pathogen free

EIEC: 

Enter invasive Escherichia Coli

Declarations

Acknowledgements

This paper is supported by the Natural Science Foundation of China (Grant No. 31172366) and 973 Program under Grant No. 2013CB127200/2013CB127203.

Authors’ Affiliations

(1)
National Reference Laboratory of Veterinary Drug Residues (SCAU), College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China

References

  1. Toutain PL, Del Castillo JRE, Bousquet-melou A. The pharmacokinetic–pharmacodynamic approach to a rational dosage regimen for antibiotics. Res Vet Sci. 2002;73:105–14.PubMedView ArticleGoogle Scholar
  2. Jacobs MR. Optimisation of antimicrobial therpy using pharmacokinetic and pharmacodynamics parameters. Clin Microbiol Infect. 2001;7(11):589–96.PubMedView ArticleGoogle Scholar
  3. Toutain PL, Lees P. Integration and modelling of pharmacokinetic and pharmacodynamic data to optimize dosage regimens in veterinary medicine. J Vet Pharmacol Ther. 2004;27:467–77.PubMedView ArticleGoogle Scholar
  4. Craig WA. Relevance of animal models for clinical treatment. European J Clin Microbial Infect Dis. 1993;12 Suppl 1:S55–7.View ArticleGoogle Scholar
  5. Guyton AC. A concept of negative interstitial pressure based on pressures in implanted perforated capsules. Circ Res. 1963;12:399–414.PubMedView ArticleGoogle Scholar
  6. Sidhu PK, Landoni MF, Aliabadi FS, Lees P. PK/PD integration and modeling of marbofloxacin in sheep. Res Vet Sci. 2010;88:134–41.PubMedView ArticleGoogle Scholar
  7. Sidhu PK, Landoni MF, AliAbadi FS, Lees P. Pharmacokinetic and pharmacodynamic modelling of marbofloxacin administered alone and in combination with tolfenamic acid in goats. Vet J. 2010;184:219–29.PubMedView ArticleGoogle Scholar
  8. Ding HZ, Li YF, Chen ZL, Rizwan-ul-Haq M, Zeng ZL. Plasma and tissue cage fluid pharmacokinetics of marbofloxacin after intravenous, intramuscular, and Oral single-dose application in pigs. J Vet Pharmacol Ther. 2010;33:507–10.PubMedView ArticleGoogle Scholar
  9. Zhang BX, Lu XX, Gu XY, Li XH, Gu MX, Zhang N, et al. Pharmacokinetics and ex vivo pharmacodynamics of cefquinome in porcine serum and tissue cage fluids. Vet J. 2014;199:399–405.PubMedView ArticleGoogle Scholar
  10. Sidhu PK, Landoni MF, Alibadi MHS, Toutain PL, Lees P. Pharmacokinetic and pharmacodynamic modelling of marbofloxacin administered alone and in combination with tolfenamic acid in calves. J Veterinary Pharmacol Therapeutics. 2010;34:376–87.View ArticleGoogle Scholar
  11. Potter T, Illambas J, Pelligand L, Rycroft A, Lees P. Pharmacokinetic and pharmacodynamics integration and modeling of marbofloxacin in calves for Mannheimia haemolytica and Pasteurella multocida. Vet J. 2013;195:53–8.PubMedView ArticleGoogle Scholar
  12. Committee for Veterinary Medical Products. Cefquinome. Summary report. EMEA/MRL/005/95. London, UK: European Agency for the evaluation of Medicinal Products 1995; 1995. http://www.ema.europa.eu/docs/en_GB/document_library/Maximum_Residue_Limits_-_Report/2009/11/WC500011888.pdf accessed 12 September 2010.Google Scholar
  13. Committee for Veterinary Medical Products. Cefquinome (Extension to Pigs). Summary Report (2). EMEA/MRL/545/99-FINAL. London, UK: European Agency for the Evaluation of Medicinal Products; 1999. http://www.ema.europa.eu/docs/en_GB/document_library/Maximum_Residue_Limits_-_Report/2009/11/WC500011890.pdf accessed 12 September 2010.Google Scholar
  14. Rassbach A, Schimmel D. Efficacy of cefquinome against experimental Haemophilus parasuis infection in primary SPF piglets. Tierarztliche Umschau. 1996;51:398–400. 402.Google Scholar
  15. 2013:VET 01-A4. Performance standards for antimicrobial disk and dilution susceptibility tests for bacteria isolated from animals;approved standard-fourth edition. 2013.Google Scholar
  16. Sidhu PK, Aliabadi FS, Andrews M, Lees P. Tissue chamber model of acute inflammation in farm animal species. Res Vet Sci. 2003;74:439–46.View ArticleGoogle Scholar
  17. Andes D, Craig WA. (1998) In vivo activities of amoxicillin and amoxicillin-clavulanate against Streptococcus pneumonia: application to breakpoint determinations. Antimicrob Agents Ch. 1998;42:2375–9.Google Scholar
  18. Andes D, Marchillo K, Stamstad T, Conklin R. In Vivo Pharmacokinetics and Pharmacodynamics of a New Triazole Voriconazole, in a Murine Candidiasis Model. Antimicrob Agents Ch. 2003;47:3165–9.View ArticleGoogle Scholar
  19. Takata T, Aizawa K, Shimizu A, Sakakibara S, Watabe H, Totsuka K. Optimization of dose and dose regimen of biapenem based on pharmacokinetic and pharmacodynamic analysis. Japanese Soc Chemotherapy Japanese Association Infectious Dis. 2004;10:76–85.Google Scholar
  20. Andes D, Craig WA. (2006) Pharmacodynamics of a new cephalosporin, PPI-0903 (TAK-599), active against methicillin-resistant Staphylococcus aureus in murine thigh and lung infection models: identification of an in vivo pharmacokinetic-pharmacodynamic target. Antimicrob Agents Ch. 2006;50:1376–83.View ArticleGoogle Scholar
  21. Griffith DC, Rodriguez D, Corcoran E, Dudley MN. Pharmacodynamics of RWJ-54428 against Staphylococcus aureus, Streptococcus pneumoniae, and Enterococcus faecalis in a neutropenic mouse thigh infection model. Antimicrob Agents Ch. 2008;52:244–7.View ArticleGoogle Scholar
  22. Araujo BV, Diniz A, Palma EC, Buffé C, Dalla Costa T. PK/PD modeling of β-lactam antibiotics: In vitro or in vivo models? J Antibiot. 2011;64:439–46.PubMedView ArticleGoogle Scholar
  23. Wang J, Shan Q, Ding HZ, Liang CP, Zeng ZL. (2014) Pharmacodynamics of Cefquinome in a Neutropenic Mouse Thigh Model of Staphylococcus aureus Infection. Antimicrob Agents Ch. 2014;58:2008–3012.Google Scholar
  24. Andes D, Craig WA. Animal model pharmacokinetics and pharmacodynamics: a critical review. Int J Antimicrob Agents. 2002;19:261–8.PubMedView ArticleGoogle Scholar
  25. McKellar QA, Sanchez Bruni SF, Jones DG. Pharmacokinetic/pharmacodynamic relationships of antimicrobial drugs used in veterinary medicine. J Veterinary Pharmacology Therapeutics. 2004;27:503–14.View ArticleGoogle Scholar
  26. Craig WA. Interrelationship between pharmacokinetics and pharmacodynamics in determining dosage regimens for broad-spectrum cephalosporins. Diagn Microbiol Infect Dis. 1995;22:89–96.PubMedView ArticleGoogle Scholar
  27. Craig WA. Pharmacokinetic/pharmacodynamic parameters: rationale for antibacterial dosing of mice and men. Clin Infect Dis. 1998;26:1–10. quiz 11–12.PubMedView ArticleGoogle Scholar
  28. Craig WA. (2003) Basic pharmacodynamics of antibacterials with clinical applications to the use of beta-lactams, glycopeptides, and linezolid. Infect Dis Clin N Am. 2003;17:479–501.View ArticleGoogle Scholar

Copyright

© Gu et al. 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Advertisement

BMC Veterinary Research

ISSN: 1746-6148

Contact us