Proteinogram of milk from cows with subclinical mastitis as a function of the score of somatic cells
DOI:
https://doi.org/10.33448/rsd-v10i9.17779Keywords:
Protein; Somatic cell cout; Subclinical mastitis.Abstract
The aim of the present study was to investigate the influence of increased SCC on the expression of milk proteins through the use of analyzes microfluid electrophoresis (lab-on-a-chip). Fifty samples of cow's milk from two properties located in State of Goiás were analyzed. Samples were analyzed for somatic cell counts and lab-on-a-chip microfluidic electrophoresis. For the correlation test between the protein profile and the SCC the samples were stratified into five groups of Scores of Somatic Cell. A completely randomized design with five treatments was used, data were analyzed using descriptive statistics and graphical representations. There was a significant increase in the concentration of the protein component when compaired SSC 1 and 3, 1 to 4 and 1 and 5. It was also possible to observe a statistical difference in the results of the Lactose component when comparing SSC 1 and 3 and 3 and 4. In the descriptive evaluation of the variable "Concentration" of the milk proteins it was possible to observe differences in the concentration values as a function of SSC. It was possible to observe statistical difference for the results obtained for α-LA, when compared to ECS 1,2 and 3 and ECS 5; For IgG, samples from SSC 4 and 5 showed different concentrations of samples from SSC 1,2 and 3; and the LF protein, presented different results between the samples of SSC 1 and 5. We concluded that high abundance whey proteins have their concentration decreased with the occurence of the mastitis; Defense proteins such as Lactoferrin, Lactoperoxidase, IgG and IgM have their concentration increased when comparing milk samples from cows with subclinical mastitis and milk samples from healthy cows; Lactoferrin and IgG proteins are potential targets for identifying cows with subclinical mastitis in milk samples and may be considered biomarkers.
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