↓ Skip to main content

Efficacy of Cefquinome against Escherichia coli Environmental Mastitis Assessed by Pharmacokinetic and Pharmacodynamic Integration in Lactating Mouse Model

Overview of attention for article published in Frontiers in Microbiology, August 2017
Altmetric Badge

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Efficacy of Cefquinome against Escherichia coli Environmental Mastitis Assessed by Pharmacokinetic and Pharmacodynamic Integration in Lactating Mouse Model
Published in
Frontiers in Microbiology, August 2017
DOI 10.3389/fmicb.2017.01445
Pubmed ID
Authors

Yang Yu, Jin-Tao Fang, Jian Sun, Mei Zheng, Qing Zhang, Jie-Shun He, Xiao-Ping Liao, Ya-Hong Liu

Abstract

This work investigates the pharmacodynamic effectiveness of cefquinome against environmental Escherichia coli mastitis infection, following an intramammary administration. We established the pharmacokinetic and pharmacodynamic (PK/PD) model in lactating mice. The PK/PD parameters were identified to achieve an antibacterial efficacy as indicated by PD activity, cytokine expression and PK/PD simulation. From our findings, given an 200 μg/gland dose once daily can achieve a considerable therapeutic effectiveness in experimental circumstance.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 9%
Researcher 2 9%
Lecturer > Senior Lecturer 1 4%
Other 3 13%
Unknown 7 30%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 3 13%
Agricultural and Biological Sciences 3 13%
Immunology and Microbiology 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Nursing and Health Professions 1 4%
Other 4 17%
Unknown 9 39%