Optimal combinations of acute phase proteins for detecting infectious disease in pigs

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Standard

Optimal combinations of acute phase proteins for detecting infectious disease in pigs. / Heegaard, Peter M. H.; Stockmarr, Anders; Piñeiro, Matilde; Carpintero, Rakel; Lampreave, Fermin; Campbell, Fiona M; Eckersall, P David; Toussaint, Mathilda JM; Gruys, Erik; Sørensen, Nanna Skall.

In: Veterinary Research, Vol. 42, No. 1, 2011, p. 50.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Harvard

Heegaard, PMH, Stockmarr, A, Piñeiro, M, Carpintero, R, Lampreave, F, Campbell, FM, Eckersall, PD, Toussaint, MJM, Gruys, E & Sørensen, NS 2011, 'Optimal combinations of acute phase proteins for detecting infectious disease in pigs' Veterinary Research, vol 42, no. 1, pp. 50., 10.1186/1297-9716-42-50

APA

CBE

Heegaard PMH, Stockmarr A, Piñeiro M, Carpintero R, Lampreave F, Campbell FM, Eckersall PD, Toussaint MJM, Gruys E, Sørensen NS. 2011. Optimal combinations of acute phase proteins for detecting infectious disease in pigs. Veterinary Research. 42(1):50. Available from: 10.1186/1297-9716-42-50

MLA

Vancouver

Author

Heegaard, Peter M. H.; Stockmarr, Anders; Piñeiro, Matilde; Carpintero, Rakel; Lampreave, Fermin; Campbell, Fiona M; Eckersall, P David; Toussaint, Mathilda JM; Gruys, Erik; Sørensen, Nanna Skall / Optimal combinations of acute phase proteins for detecting infectious disease in pigs.

In: Veterinary Research, Vol. 42, No. 1, 2011, p. 50.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Bibtex

@article{628ecfea7f814ebea6ca0209ebf8e515,
title = "Optimal combinations of acute phase proteins for detecting infectious disease in pigs",
publisher = "E D P Sciences",
author = "Heegaard, {Peter M. H.} and Anders Stockmarr and Matilde Piñeiro and Rakel Carpintero and Fermin Lampreave and Campbell, {Fiona M} and Eckersall, {P David} and Toussaint, {Mathilda JM} and Erik Gruys and Sørensen, {Nanna Skall}",
year = "2011",
doi = "10.1186/1297-9716-42-50",
volume = "42",
number = "1",
pages = "50",
journal = "Veterinary Research",
issn = "0928-4249",

}

RIS

TY - JOUR

T1 - Optimal combinations of acute phase proteins for detecting infectious disease in pigs

A1 - Heegaard,Peter M. H.

A1 - Stockmarr,Anders

A1 - Piñeiro,Matilde

A1 - Carpintero,Rakel

A1 - Lampreave,Fermin

A1 - Campbell,Fiona M

A1 - Eckersall,P David

A1 - Toussaint,Mathilda JM

A1 - Gruys,Erik

A1 - Sørensen,Nanna Skall

AU - Heegaard,Peter M. H.

AU - Stockmarr,Anders

AU - Piñeiro,Matilde

AU - Carpintero,Rakel

AU - Lampreave,Fermin

AU - Campbell,Fiona M

AU - Eckersall,P David

AU - Toussaint,Mathilda JM

AU - Gruys,Erik

AU - Sørensen,Nanna Skall

PB - E D P Sciences

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.veterinaryresearch.org/content/42/1/50

U2 - 10.1186/1297-9716-42-50

DO - 10.1186/1297-9716-42-50

JO - Veterinary Research

JF - Veterinary Research

SN - 0928-4249

IS - 1

VL - 42

SP - 50

ER -