Literature DB >> 22583933

Saliva proteomics as an emerging, non-invasive tool to study livestock physiology, nutrition and diseases.

Elsa Lamy1, Marcus Mau.   

Abstract

Saliva is an extraordinary fluid in terms of research and diagnostic possibilities. Its composition in electrolytes, hormones and especially its proteome contains information about feeding status, nutritional requirements and adaptations to diet and environment, and also about health status of animals. It is easy to collect on a non-invasive and routine basis without any need for special training. Therefore, the analysis of salivary proteomes is going to emerge into a field of high interest with the future goal to maintain and improve livestock productivity and welfare. Moreover, the comprehensive analysis and identification of salivary proteins and peptides in whole and glandular saliva is a necessary pre-requisite to identify animal disease biomarkers and a powerful tool to better understand animal physiology. This review focuses on the different approaches used to study the salivary proteomes of farm animals, in respect to the physiology of nutrition and food perception in relation to food choices. The potential of animal saliva as a source of disease biomarkers will also be pointed out. Special emphasis is laid on the 'ruminating triad' - cattle, goat and sheep - as well as swine as major species of animal production in Western and Southern Europe.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22583933     DOI: 10.1016/j.jprot.2012.05.007

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  22 in total

1.  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 2.  Saliva Diagnostics.

Authors:  Taichiro Nonaka; David T W Wong
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2022-06-13       Impact factor: 12.400

3.  Changes in salivary analytes in cows due to the in vitro presence of feed.

Authors:  M D Contreras-Aguilar; P J Vallejo-Mateo; E Lamy; J J Cerón; C P Rubio
Journal:  BMC Vet Res       Date:  2022-07-14       Impact factor: 2.792

Review 4.  Saliva-Exosomics in Cancer: Molecular Characterization of Cancer-Derived Exosomes in Saliva.

Authors:  Taichiro Nonaka; David T W Wong
Journal:  Enzymes       Date:  2017-10-09

5.  A Lab-on-a-Chip-Based Non-Invasive Optical Sensor for Measuring Glucose in Saliva.

Authors:  Dong Geon Jung; Daewoong Jung; Seong Ho Kong
Journal:  Sensors (Basel)       Date:  2017-11-13       Impact factor: 3.576

6.  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

7.  Effect of exercise training on saliva brain derived neurotrophic factor, catalase and vitamin c.

Authors:  Parvin Babaei; Arsalan Damirchi; Bahram Soltani Tehrani; Yazgaldi Nazari; Reyhaneh Sariri; Rastegar Hoseini
Journal:  Med J Islam Repub Iran       Date:  2016-12-12

Review 8.  Unravelling the Potential of Salivary Volatile Metabolites in Oral Diseases. A Review.

Authors:  Jorge A M Pereira; Priscilla Porto-Figueira; Ravindra Taware; Pritam Sukul; Srikanth Rapole; José S Câmara
Journal:  Molecules       Date:  2020-07-07       Impact factor: 4.411

Review 9.  Salivary Biomarkers in Systemic Sclerosis Disease.

Authors:  Zeineb Zian; Joaira Bakkach; Amina Barakat; Naima Ghailani Nourouti; Mohcine Bennani Mechita
Journal:  Biomed Res Int       Date:  2018-03-12       Impact factor: 3.411

Review 10.  Omics Application in Animal Science-A Special Emphasis on Stress Response and Damaging Behaviour in Pigs.

Authors:  Claudia Kasper; David Ribeiro; André M de Almeida; Catherine Larzul; Laurence Liaubet; Eduard Murani
Journal:  Genes (Basel)       Date:  2020-08-11       Impact factor: 4.096

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