Mastitis detection: current trends and future perspectives.
Bovine mastitis, the most significant disease of dairy herds, has huge effects on farm economics due to reduction in milk production and treatment costs. Traditionally, methods of detection have included estimation of somatic cell counts, an indication of inflammation, measurement of biomarkers associated with the onset of the disease (e.g. the enzymes N-acetyl-beta-D-glucosaminidase and lactate dehydrogenase) and identification of the causative microorganisms, which often involves culturing methods. These methods have their limitations and there is a need for new rapid, sensitive and reliable assays. Recently, significant advances in the identification of nucleic acid markers and other novel biomarkers and the development of sensor-based platforms have taken place. These novel strategies have shown promise, and their advantages over the conventional tests are discussed.
Viguier
Caroline
C
Biomedical Diagnostics Institute, National Centre for Sensor Research, Dublin City University, Dublin 9, Republic of Ireland.
Arora
Sushrut
S
Gilmartin
Niamh
N
Welbeck
Katherine
K
O'Kennedy
Richard
R
D000818:Animals; D015415:Biomarkers / Q000032:analysis*; D002417:Cattle; D007118:Immunoassay / Q000379:methods; D008414:Mastitis, Bovine / Q000175:diagnosis*; D025202:Molecular Diagnostic Techniques / Q000379:methods*; D021141:Nucleic Acid Amplification Techniques / Q000379:methods
D015415:Biomarkers