Putative biomarkers for early detection of mastitis in cattle
Zul I. Huma A , Neelesh Sharma A E , Sarabpreet Kour A , Suhasani Tandon B , Praveen Kumar Guttula C , Savleen Kour A , Amit Kumar Singh D , Rajiv Singh A and Mukesh Kumar Gupta C E
+ Author Affiliations
- Author Affiliations
A Division of Veterinary Medicine, Faculty of Veterinary Science and Animal Husbandry, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu (SKUAST-J), R.S. Pura, Jammu 181102, Jammu and Kashmir, India.
B Division of Veterinary Public Health & Epidemiology, Faculty of Veterinary Science and Animal Husbandry, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu (SKUAST-J), R.S. Pura, Jammu 181102, Jammu and Kashmir, India.
C Department of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela 769008, Odisha, India.
D Laboratory for Animal Experiments, National Jalma Institute of Leprosy and Other Mycobacterial Diseases, Agra 282001, Uttar Pradesh, India.
E Corresponding authors. Email: drneelesh_sharma@yahoo.co.in; guptam@nitrkl.ac.in
Animal Production Science 60(14) 1721-1736 https://doi.org/10.1071/AN19539
Submitted: 19 September 2019 Accepted: 12 March 2020 Published: 4 June 2020
Abstract
Context: Mastitis is an inflammation of mammary gland parenchyma, and is an unending cause of economic loss to the dairy industry. The interest in research on biomarker discovery for the diagnosis of bovine mastitis stems largely from the need to identify reliable biomarkers.
Aim: To determine the putative biomarkers of mastitis by using bioinformatics analysis, and experimental validation of pro-inflammatory cytokines and oxidative stress biomarkers of the mammary gland in healthy and diseased animals.
Methods: Various in silico analysis tools were applied to screen for gene expression in mastitis. Milk, as well as blood samples, was collected aseptically from the animals, which were then classified into three groups; namely, clinical, subclinical and control. Samples were subjected to assay of pro-inflammatory cytokines and oxidative biomarkers using enzyme-linked immunosorbent assay kits and the prescribed methodology respectively.
Key results: In silico analysis revealed that mastitis reduces the expression of fat metabolism and immune system-related genes, whereas it increased the expression of inflammatory genes. On laboratory analysis of cytokines and acute phase protein, it was revealed that interleukin-1∝, interleukin-8 and haptoglobin were significantly (P < 0.01) increased in both blood serum and milk whey in subclinical and clinical mastitis cows. On analysis of oxidative biomarkers, our results showed that oxidative stress was significantly (P < 0.05) increased with progression of mastitis in dairy cows. There was a significant (P < 0.05) increase in the blood serum level of malondialdehyde and nitric oxide, and a decrease in the level of anti-oxidant enzymes – glutathione peroxidase, superoxide dismutase and catalase – compared with healthy animals.
Conclusion: In conclusion, bioinformatics analysis of high-throughput gene expression revealed the involvement of multiple pathways, including the inflammatory pathway, fatty acid pathway and triglyceride synthesis pathway, in mastitis. Experimental validation confirmed that interleukin-8 and haptoglobin are putative early diagnostic markers for mastitis in dairy cattle. This study also concluded that milk can be used for the detection of cytokines as a non-invasive technique.
Additional keywords: acute phase protein, cytokines, oxidative markers, somatic cell count.
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