Mastitis: What It Is, Current Diagnostics, and the Potential of Metabolomics to Identify New Predictive Biomarkers

Autor: Klevis Haxhiaj, David S. Wishart, Burim N. Ametaj
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Dairy, Vol 3, Iss 4, Pp 722-746 (2022)
Druh dokumentu: article
ISSN: 2624-862X
DOI: 10.3390/dairy3040050
Popis: Periparturient diseases continue to be the greatest challenge to both farmers and dairy cows. They are associated with a decrease in productivity, lower profitability, and a negative impact on cows’ health as well as public health. This review article discusses the pathophysiology and diagnostic opportunities of mastitis, the most common disease of dairy cows. To better understand the disease, we dive deep into the causative agents, traditional paradigms, and the use of new technologies for diagnosis, treatment, and prevention of mastitis. This paper takes a systems biology approach by highlighting the relationship of mastitis with other diseases and introduces the use of omics sciences, specifically metabolomics and its analytical techniques. Concluding, this review is backed up by multiple studies that show how earlier identification of mastitis through predictive biomarkers can benefit the dairy industry and improve the overall animal health.
Databáze: Directory of Open Access Journals
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