|
1
|
Rešetar Maslov D, Thomas FC, Beletić A, Kuleš J, Rubić I, Benić M, Bačić G, Maćešić N, Eraghi V, Farkaš V, Lenac Roviš T, Lisnić B, Žubčić D, Potočnjak D, Mrljak V. Distinguishing Natural Infections of the Bovine Mammary Gland by Staphylococcus from Streptococcus spp. Using Quantitative Milk Proteomics. Animals (Basel) 2023; 13:1829. [PMID: 37889706 PMCID: PMC10252062 DOI: 10.3390/ani13111829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/26/2023] [Accepted: 05/27/2023] [Indexed: 10/29/2023] Open
Abstract
Bovine mastitis is the most frequent disease on dairy farms, which leads to a decrease in the health welfare of the animals and great economic losses. This study was aimed at determining the quantitative variations in the milk proteome caused by natural infection by Staphylococcus and Streptococcus species in order to gain further understanding of any discrepancies in pathophysiology and host immune responses, independent of the mastitis level. After identification of Staphylococcus (N = 51) and Streptococcus (N = 67) spp., tandem mass tag (TMT)-labeled quantitative proteomic and liquid chromatography-mass spectrometry (LC-MS/MS) techniques on a modular Ultimate 3000 RSLCnano system coupled to a Q Exactive Plus was applied on aseptically sampled milk from Holstein cows. Proteome Discoverer was used for protein identification and quantitation through the SEQUEST algorithm. Statistical analysis employing R was used to identify differentially abundant proteins between the groups. Protein classes, functions and functional-association networks were determined using the PANTHER and STRING tools and pathway over-representation using the REACTOME. In total, 156 master bovine proteins were identified (two unique peptides, p < 0.05 and FDR < 0.001), and 20 proteins showed significantly discrepant abundance between the genera (p < 0.05 and FDR < 0.5). The most discriminatory proteins per group were odorant-binding protein (higher in staphylococci) and fibrinogen beta chain protein (higher in streptococci). The receiver operating characteristic (ROC) curve showed that protein kinase C-binding protein NELL2, thrombospondin-1, and complement factor I have diagnostic potential for differentiating staphylococci and streptococci intramammary infection and inflammation. Improved understanding of the host response mechanisms and recognition of potential biomarkers of specific-pathogen mastitis, which may aid prompt diagnosis for control implementation, are potential benefits of this study.
Collapse
Affiliation(s)
- Dina Rešetar Maslov
- Laboratory of Proteomics, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (F.C.T.); (A.B.); (I.R.); (V.E.); (V.F.); (V.M.)
| | - Funmilola Clara Thomas
- Laboratory of Proteomics, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (F.C.T.); (A.B.); (I.R.); (V.E.); (V.F.); (V.M.)
| | - Anđelo Beletić
- Laboratory of Proteomics, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (F.C.T.); (A.B.); (I.R.); (V.E.); (V.F.); (V.M.)
| | - Josipa Kuleš
- Department of Chemistry and Biochemistry, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia;
| | - Ivana Rubić
- Laboratory of Proteomics, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (F.C.T.); (A.B.); (I.R.); (V.E.); (V.F.); (V.M.)
| | - Miroslav Benić
- Department of Bacteriology and Parasitology, Croatian Veterinary Institute, Savska Cesta, 143, 10000 Zagreb, Croatia;
| | - Goran Bačić
- Reproduction and Obstetrics Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (G.B.); (N.M.)
| | - Nino Maćešić
- Reproduction and Obstetrics Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (G.B.); (N.M.)
| | - Vida Eraghi
- Laboratory of Proteomics, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (F.C.T.); (A.B.); (I.R.); (V.E.); (V.F.); (V.M.)
| | - Vladimir Farkaš
- Laboratory of Proteomics, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (F.C.T.); (A.B.); (I.R.); (V.E.); (V.F.); (V.M.)
| | - Tihana Lenac Roviš
- Center for Proteomics University of Rijeka, Faculty of Medicine, Brace Branchetta 20, 51000 Rijeka, Croatia; (T.L.R.); (B.L.)
| | - Berislav Lisnić
- Center for Proteomics University of Rijeka, Faculty of Medicine, Brace Branchetta 20, 51000 Rijeka, Croatia; (T.L.R.); (B.L.)
| | - Damir Žubčić
- Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (D.Ž.); (D.P.)
| | - Dalibor Potočnjak
- Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (D.Ž.); (D.P.)
| | - Vladimir Mrljak
- Laboratory of Proteomics, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (F.C.T.); (A.B.); (I.R.); (V.E.); (V.F.); (V.M.)
- Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova Street 55, 10000 Zagreb, Croatia; (D.Ž.); (D.P.)
| |
Collapse
|