Literature DB >> 30316505

Methods for Diagnosing Mastitis.

Pamela R F Adkins1, John R Middleton2.   

Abstract

A diagnosis of mastitis is based on clinical observations or direct/indirect measures of the inflammatory response to infection, whereas a diagnosis of an intramammary infection is based on identification of the infectious agent. Somatic cell count/somatic cell score are common diagnostic tests for the detection of subclinical mastitis. Culture and polymerase chain reaction can be useful in the diagnosis of an intramammary infection; however, both have their advantages and disadvantages. Diagnosing the bacterial agent causing the intramammary infection can help to determine treatment and prevention strategies on the farm, which in turn can help to reduce incidence and prevalence.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bovine; Diagnosis; Intramammary infection; Mastitis

Mesh:

Year:  2018        PMID: 30316505     DOI: 10.1016/j.cvfa.2018.07.003

Source DB:  PubMed          Journal:  Vet Clin North Am Food Anim Pract        ISSN: 0749-0720            Impact factor:   3.357


  11 in total

1.  Genes associated with somatic cell count index in Brown Swiss cattle.

Authors:  Janez Jeretina; Daša Jevšinek Skok
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

2.  Using High-Resolution Differential Cell Counts (HRDCCs) in Bovine Milk and Blood to Monitor the Immune Status over the Entire Lactation Period.

Authors:  Sabine Farschtschi; Alex Hildebrandt; Martin Mattes; Benedikt Kirchner; Michael W Pfaffl
Journal:  Animals (Basel)       Date:  2022-05-24       Impact factor: 3.231

3.  Dynamics of somatic cell count and intramammary infection in lactating dairy cows.

Authors:  S M Mostafizur Rahaman Sumon; Mst Sonia Parvin; Md Amimul Ehsan; Md Taohidul Islam
Journal:  J Adv Vet Anim Res       Date:  2020-04-25

Review 4.  Biosensors for On-Farm Diagnosis of Mastitis.

Authors:  Sofia A M Martins; Verónica C Martins; Filipe A Cardoso; José Germano; Mónica Rodrigues; Carla Duarte; Ricardo Bexiga; Susana Cardoso; Paulo P Freitas
Journal:  Front Bioeng Biotechnol       Date:  2019-07-31

5.  Development of an advanced flow cytometry based high-resolution immunophenotyping method to benchmark early immune response in dairy cows.

Authors:  Sabine Farschtschi; Martin Mattes; Alex Hildebrandt; Dapi Chiang; Benedikt Kirchner; Heike Kliem; Michael W Pfaffl
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

6.  Frequently used therapeutic antimicrobials and their resistance patterns on Staphylococcus aureus and Escherichia coli in mastitis affected lactating cows.

Authors:  Eaftekhar Ahmed Rana; Md Abul Fazal; Mohammad Abdul Alim
Journal:  Int J Vet Sci Med       Date:  2022-02-28

Review 7.  Combating Bovine Mastitis in the Dairy Sector in an Era of Antimicrobial Resistance: Ethno-veterinary Medicinal Option as a Viable Alternative Approach.

Authors:  Daniel Jesuwenu Ajose; Bukola Opeyemi Oluwarinde; Tesleem Olatunde Abolarinwa; Justine Fri; Kotsoana Peter Montso; Omolola Esther Fayemi; Adeyemi Oladapo Aremu; Collins Njie Ateba
Journal:  Front Vet Sci       Date:  2022-04-04

Review 8.  Mastitis Control and Intramammary Antimicrobial Stewardship in Ireland: Challenges and Opportunities.

Authors:  Simon J More; Catherine McAloon; Pablo Silva Boloña; Luke O'Grady; Frank O'Sullivan; Michelle McGrath; Willie Buckley; Kevin Downing; Patrick Kelly; Eoin G Ryan; Finola McCoy
Journal:  Front Vet Sci       Date:  2022-04-11

Review 9.  Advantages and Challenges of Differential Immune Cell Count Determination in Blood and Milk for Monitoring the Health and Well-Being of Dairy Cows.

Authors:  Sabine Farschtschi; Martin Mattes; Michael W Pfaffl
Journal:  Vet Sci       Date:  2022-05-27

10.  MiRNAs in milk can be used towards early prediction of mammary gland inflammation in cattle.

Authors:  T Tzelos; W Ho; V Iliadi Charmana; S Lee; F X Donadeu
Journal:  Sci Rep       Date:  2022-03-24       Impact factor: 4.379

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