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Title: Optimal combinations of acute phase proteins for detecting infectious disease in pigs
Type: Journal articleJournal article
Participant(s):
Author:  Heegaard, Peter M. H. (Cwisno: 39404)
Technical University of Denmark
Email:

Author:  Stockmarr, Anders (Cwisno: 41999)
Technical University of Denmark
Email:

Forfatter:  Piñeiro, Matilde
University of Zaragoza, Faculty of Science

Forfatter:  Carpintero, Rakel
University of Zaragoza, Faculty of Science

Forfatter:  Lampreave, Fermin
University of Zaragoza, Faculty of Science

Forfatter:  Campbell, Fiona M
University of Glasgow, College of Medicine, Veterinary Medicine & Life Science

Forfatter:  Eckersall, P David
Veterinary Medicine & Life Science, College of Medicine, Veterinary Medicine & Life Science

Forfatter:  Toussaint, Mathilda JM
Utrecht University, Faculty of Veterinary Medicine

Forfatter:  Gruys, Erik
Utrecht University, Faculty of Veterinary Medicine

Author:  Sørensen, Nanna Skall (Cwisno: 39373)
Technical University of Denmark
Email:

Abstract: The acute phase protein (APP) response is an early systemic sign of disease, detected as substantial changes in APP serum concentrations and most disease states involving inflammatory reactions give rise to APP responses. To obtain a detailed picture of the general utility of porcine APPs to detect any disease with an inflammatory component seven porcine APPs were analysed in serum sampled at regular intervals in six different experimental challenge groups of pigs, including three bacterial (Actinobacillus pleuropneumoniae, Streptococcus suis, Mycoplasma hyosynoviae), one parasitic (Toxoplasma gondii) and one viral (porcine respiratory and reproductive syndrome virus) infection and one aseptic inflammation. Immunochemical analyses of seven APPs, four positive (C-reactive protein (CRP), haptoglobin (Hp), pig major acute phase protein (pigMAP) and serum amyloid A (SAA)) and three negative (albumin, transthyretin, and apolipoprotein A1 (apoA1)) were performed in the more than 400 serum samples constituting the serum panel. This was followed by advanced statistical treatment of the data using a multi-step procedure which included defining cut-off values and calculating detection probabilities for single APPs and for APP combinations. Combinations of APPs allowed the detection of disease more sensitively than any individual APP and the best three-protein combinations were CRP, apoA1, pigMAP and CRP, apoA1, Hp, respectively, closely followed by the two-protein combinations CRP, pigMAP and apoA1, pigMAP, respectively. For the practical use of such combinations, methodology is described for establishing individual APP threshold values, above which, for any APP in the combination, ongoing infection/inflammation is indicated.
Published: in journal: Veterinary Research (ISSN: 0928-4249) (DOI: http://dx.doi.org/10.1186/1297-9716-42-50), vol: 42, issue: 1, pages: 50, 2011
DOI:
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