Proteomics of host response to zoonotic infection in cows that aborted

Autor: Turk, Romana, Piras, Cristian, Špičić, Silvijo, Greco, Viviana, Turk, Nenad, Kardum, Matko, Samardžija, Marko, Đuričić, Dražen, Belić, Maja, Roncada, Paola
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Popis: Background: Bacterial zoonoses in cows, such as leptospirosis and Q fever, usually appear in a subclinical form causing abortion in pregnant cows as the only clinical manifestation following infection. The pathogenesis of both diseases is very complex and still not completely understood. Objective: The aim of this study was to evaluate serum proteome in cows that aborted due to leptospirosis and Q- fever in order to investigate differentially expressed proteins involved in pathophysiological mechanisms of zoonotic infection of cows. Methods: Three groups of cows were included in the study: group I (control, healthy cows, n=5) ; group II (cows infected with Coxiella, n=5) and group III (cows infected with Leptospira, n=5) both comprised cows that have aborted. In collected sera, 2DE and mass spectrometry (MALDI-TOF/TOF, Bruker-Daltonics) were performed. Obtained results were analysed by MASCOT algorithm (www.matrixscience.com) against SwissProt_201407 database. Results: Three proteins (actin, fructose-1, 6-bisphosphatase 1 and transgelin-2) were up-regulated while E3- ubiquitin-protein ligase KCMF1 and autophagy- related protein 13 were down-regulated in both leptospirosis and Q fever compared to the control.. Gap junction alpha-5 protein was down-regulated only in Q fever but not in leptospirosis. Differentially expressed proteins are involved in processes of cell motility, cell adhesion and signal transduction what enable bacterial binding to host cells activating the host innate defense system. Conclusion: The zoonotic pathogens trigger changes in the expression of specific host proteins needed for host-pathogen interaction and bacterial dissemination. The results could contribute to better understanding of mechanisms of host-pathogen interaction and identification of potential biomarker for bacterial infection.
Databáze: OpenAIRE