title: Proteomic analysis of the temporal expression of bovine milk proteins during coliform mastitis and label-free relative quantification.
abstract: The discovery of biomarkers in milk indicative of local inflammation or disease in the bovine mammary gland has been hindered by the extreme biological complexity of milk, the dynamic range of proteins in the matrix that renders the identification of low-abundance proteins difficult, and the challenges associated with quantifying changes during disease in the abundance of proteins for which no antibody exists. The objectives of the current study were to characterize the temporal expression of milk proteins following Escherichia coli challenge and to evaluate change in relative abundance of identified proteins using a liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) label-free semiquantitative approach. Liquid chromatography-MS/MS conducted on whey from milk samples collected just before infusion with E. coli and at 12, 18, 24, 36, 48, and 60h following infection resulted in the identification of the high- to medium-abundance proteins alpha(S1)-, alpha(S2)- beta-, and kappa-caseins and the whey proteins serum albumin, beta-lactoglobulin, and alpha-lactalbumin. Additionally, a select number of lower abundance markers of inflammation were also identified, including lactoferrin, transferrin, apolipoprotein AI, fibrinogen, glycosylation-dependent cell adhesion molecule-1, peptidoglycan recognition receptor protein, and cyclic dodecapeptide-1. Normalized peptide counts for each protein identified were used to evaluate temporal changes in milk proteins following infection. For comparison with relative protein abundance determined using proteomic-based methods, changes in serum albumin, lactoferrin, and transferrin in milk during disease were also measured using ELISA. Label-free, proteomic-based quantification revealed relative changes in milk proteins that corresponded to expression profiles generated by ELISA. The results indicate that label-free LC-MS/MS methods are a viable means of tracking changes in relative protein abundance in milk during disease. Despite the identification of primarily abundant milk proteins, the results indicate that, with further refinement, LC-MS/MS could be used to evaluate temporal changes in proteins related to host response for which no antibody or ELISA currently exists.
authors.affiliation: US Food and Drug Administration Center for Veterinary Medicine, Laurel, MD 20708, USA. jamie.boehmer@fda.hhs.gov
authors.forename: J L
authors.initials: JL
authors.lastname: Boehmer
authors.forename: J L
authors.initials: JL
authors.lastname: Ward
authors.forename: R R
authors.initials: RR
authors.lastname: Peters
authors.forename: K J
authors.initials: KJ
authors.lastname: Shefcheck
authors.forename: M A
authors.initials: MA
authors.lastname: McFarland
authors.forename: D D
authors.initials: DD
authors.lastname: Bannerman
mesh_terms: D000818:Animals; D002417:Cattle; D004926:Escherichia coli; D004927:Escherichia coli Infections / Q000662:veterinary*; D005260:Female; D005786:Gene Expression Regulation; D008414:Mastitis, Bovine / Q000382:microbiology / Q000503:physiopathology*; D008892:Milk / Q000737:chemistry / Q000166:cytology; D008894:Milk Proteins / Q000032:analysis / Q000378:metabolism*; D040901:Proteomics; D013997:Time Factors
chemical_list: D008894:Milk Proteins