Literature DB >> 9789371

[Pharmacokinetic aspects of mastitis therapy].

A M Ehinger1, M Kietzmann.   

Abstract

Treating mastitis in dairy cattle, most often antibiotics are used systemically or intracisternally, supported by influencing the inflammatory process with other measures. The success of systemic treatment is influenced by the bioavailability of the chemotherapeutic agent. Here, apart from the molecular size and protein binding, the fat-solubility of the active principle as well as its degree of ionisation play a major role. The degree of ionisation is determined by the isoelectric point (pKa) of the substance and by the pH-value of the surrounding medium. Thus, weak acids are mainly ionised in blood and cannot be transferred into udder tissue and milk. Weak bases react in the opposite way. Applied locally, the drug must not irritate the udder to secure deep diffusion into the glandular tissue. Therefore, topically administered drugs are formulated on an oily basis, also for longer prophylaxis during the dry-off-period. The pharmaceutic and pharmacokinetic relevance of the chemical and physical factors as well as the influence of the particle size of the active principle were demonstrated with benzylpenicillin potassium in the in vitro model of the isolated perfused bovine udder.

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Year:  1998        PMID: 9789371

Source DB:  PubMed          Journal:  Berl Munch Tierarztl Wochenschr        ISSN: 0005-9366            Impact factor:   0.328


  4 in total

1.  Tissue distribution of cloxacillin after intramammary administration in the isolated perfused bovine udder.

Authors:  Manfred Kietzmann; Frank Niedorf; Jacques Gossellin
Journal:  BMC Vet Res       Date:  2010-10-06       Impact factor: 2.741

2.  Systemic and mammary gland disposition of enrofloxacin in healthy sheep following intramammary administration.

Authors:  Cristina López; Juan José García; Matilde Sierra; María José Diez; Claudia Pérez; Ana Maria Sahagún; Nélida Fernández
Journal:  BMC Vet Res       Date:  2015-04-09       Impact factor: 2.741

3.  Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle.

Authors:  Somayeh Sharifi; Abbas Pakdel; Mansour Ebrahimi; James M Reecy; Samaneh Fazeli Farsani; Esmaeil Ebrahimie
Journal:  PLoS One       Date:  2018-02-22       Impact factor: 3.240

4.  Evaluation of the antibacterial activity of tilmicosin-SLN against Streptococcus agalactiae: in vitro and in vivo studies.

Authors:  Luyan Zhu; Xiaoxia Cao; Qinxin Xu; Jing Su; Xihe Li; Wenzhong Zhou
Journal:  Int J Nanomedicine       Date:  2018-08-17
  4 in total

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