Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Proteomics of inflammatory and oxidative stress response in cows with subclinical and clinical mastitis.

Romana Turk | Cristian Piras | Mislav Kovačić | Marko Samardžija | Hany Ahmed | Michele De Canio | Andrea Urbani | Zlata Flegar Meštrić | Alessio Soggiu | Luigi Bonizzi | Paola Roncada
Journal of proteomics | 2012

Cow serum proteome was evaluated by three different complementary approaches in the control group, subclinical and clinical mastitis in order to possibly find differential protein expression useful for a better understanding of the pathophysiology of mastitis as well as for an early diagnosis of the disease. The systemic inflammatory and oxidative stress response in cows with subclinical and clinical mastitis were observed. The collected evidence shows a differential protein expression of serpin A3-1, vitronectin-like protein and complement factor H in subclinical mastitis in comparison with the control. It was also found a differential protein expression of inter-alpha-trypsin inhibitor heavy chain H4, serpin A3-1, C4b-binding protein alpha chain, haptoglobin and apolipoprotein A-I in clinical mastitis compared to the control. Among the inflammatory proteins up-regulated in clinical mastitis, vitronectin is over-expressed in both subclinical and clinical mastitis indicating a strong bacterial infection. This suggests vitronectin as an important mediator in the pathogenesis of the onset of mastitis as well as a valuable marker for diagnosis of the subclinical form of the disease. Obtained data could be useful for the detection of mastitis during the subclinical phase and for a better comprehension of the pathophysiological mechanisms involved in the onset of the disease.

Pubmed ID: 22634041

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


SigmaStat (tool)

RRID:SCR_010285

Software tool for data graphing and analysis by Systat Software, Inc.

View all literature mentions

ClinProTools (tool)

RRID:SCR_014341

Biomarker detection and evaluation software which provides an advanced basis for mining unknown potential biomarkers in complex protein profiles. Visualization tools such as stack plots and box-and-whiskers plots can be used to interactively inspect and compare large data sets originating from samples that contain different clinical diagnoses. ClinProTools also supplies sophisticated mathematical algorithms for the discovery of complex biomarker pattern models. Besides validation, class-prediction tools are also integrated to allow the implementation of the whole biomarker detection and evaluation process.

View all literature mentions

COMPASS (tool)

RRID:SCR_015874

Algorithm for MATLAB and the EEGLAB toolbox that enables the automatic detection of independent components from an ICA that represent event-related brain potentials. It performs automatic Independent Component (IC) selection with respect to the contributions of the ICs to a certain ERP.

View all literature mentions