Literature DB >> 23177629

Detection of potential markers for systemic disease in saliva of pigs by proteomics: a pilot study.

A M Gutiérrez1, K Nöbauer, L Soler, E Razzazi-Fazeli, M Gemeiner, J J Cerón, I Miller.   

Abstract

Animals with different health status have been studied in order to extend the knowledge about protein composition of porcine saliva samples and to discover potential salivary markers for systemic disease in porcine production. Clinical examination of animals was performed at farm level where 10 healthy pigs and 10 animals with evident clinical signs of disease were randomly selected. Saliva and blood samples were obtained and afterwards animals were humanely sacrificed to perform a complete necropsy. Levels of two acute phase proteins, haptoglobin and C-reactive protein, were used to identify possible active infections of the animals. Moreover, serological analysis, to the main porcine infectious diseases in the area, was performed. Salivary proteins were separated by two-dimensional gel electrophoresis followed by mass spectrometry for the identification of specific proteins. A total of 58 spots out of 75 were successfully identified by MS, which correspond to 20 unique proteins. Two different approaches were used to perform a statistical comparison of saliva protein patterns from healthy and diseased animals using the relative spot volume (% spot volume/total volume of all spot in the gel, approach "A") or taking also into account the total protein content of each saliva sample (μg of spot/mL of saliva, approach "B"). Both analyses showed three proteins in common that are differentially regulated between states. However, approach B was selected for biomarker searching since it gave an estimation of protein concentration and showed differential expression of proteins between both health states in a total of 10 proteins, which were up-regulated in disease. Mass spectrometric analysis identified those proteins as salivary lipocalin, lipocalin 1, double headed protease inhibitor protein, adenosine deaminase, haptoglobin, albumin fragments, S100-A8, S100-A9, S100-A12 and pancreatic alpha amylase. These proteins could be considered as potential salivary markers of disease.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23177629     DOI: 10.1016/j.vetimm.2012.10.007

Source DB:  PubMed          Journal:  Vet Immunol Immunopathol        ISSN: 0165-2427            Impact factor:   2.046


  8 in total

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2.  Porcine salivary analysis by 2-dimensional gel electrophoresis in 3 models of acute stress: a pilot study.

Authors:  María Fuentes-Rubio; José J Cerón; Carlos de Torre; Damián Escribano; Ana M Gutiérrez; Fernando Tecles
Journal:  Can J Vet Res       Date:  2014-04       Impact factor: 1.310

Review 3.  Ageing and the epidemiology of multimorbidity.

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4.  Influence of different sample preparation strategies on the proteomic identification of stress biomarkers in porcine saliva.

Authors:  Ana Gutiérrez; José Joaquín Cerón; Ebrahim Razzazi-Fazeli; Sarah Schlosser; Fernando Tecles
Journal:  BMC Vet Res       Date:  2017-12-04       Impact factor: 2.741

5.  Easy and non-invasive disease detection in pigs by adenosine deaminase activity determinations in saliva.

Authors:  Ana María Gutiérrez; Ernesto De La Cruz-Sánchez; Ana Montes; Juan Sotillo; Cándido Gutiérrez-Panizo; Pablo Fuentes; Pedro Luis Tornel; Juan Cabezas-Herrera
Journal:  PLoS One       Date:  2017-06-08       Impact factor: 3.240

6.  Porcine Breed, Sex, and Production Stage Influence the Levels of Health Status Biomarkers in Saliva Samples.

Authors:  Jorge Sánchez; Ana García; José María Ruiz; Ana María Montes; Juan Cabezas-Herrera; Susana Ros-Lara; Ernesto De la Cruz; Ana María Gutiérrez
Journal:  Front Vet Sci       Date:  2019-02-14

7.  Combinations of non-invasive indicators to detect dairy cows submitted to high-starch-diet challenge.

Authors:  C Villot; C Martin; J Bodin; D Durand; B Graulet; A Ferlay; M M Mialon; E Trevisi; M Silberberg
Journal:  Animal       Date:  2019-07-16       Impact factor: 3.240

8.  Trial Proteomic Qualitative and Quantitative Analysis of the Protein Matrix of Submandibular Sialoliths.

Authors:  Paulina Czaplewska; Aleksandra E Bogucka; Natalia Musiał; Dmitry Tretiakow; Andrzej Skorek; Dominik Stodulski
Journal:  Molecules       Date:  2021-11-06       Impact factor: 4.411

  8 in total

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