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Proteomics in dogs: a systematic review

期刊

RESEARCH IN VETERINARY SCIENCE
卷 143, 期 -, 页码 107-114

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.rvsc.2021.12.026

关键词

Animals; Biomarkers; Dogs; Proteins; Proteomics

资金

  1. Seneca Foundation-Agency of Science and Technology of the Region of Murcia [20649/JLI/18]
  2. Fundacion Seneca, Region de Murcia, Spain [21453/FPI/20]
  3. Ministerio de Economia y Competitividad, Spain [FJC2019-042475-I]
  4. Seneca foundation [21239/PD/19]

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Proteomic analysis is rapidly developing as a method for detecting biomarkers of diseases in dogs. This study systematically reviews the evidence of proteomics studies in dogs, specifically focusing on serum, saliva, urine, and/or plasma. The analysis found that proteomic analysis has allowed the discovery of new physiological pathways and potential biomarkers in dogs.
Proteomic analysis is having a rapid development as a method for the detection of biomarkers of diseases in dogs. Dogs in addition to their importance as companion animals, serve as important animal models for research. This study aims to systematically review evidence regarding the studies performed in proteomics in dogs, and spe-cifically those made in serum, saliva, urine and/or plasma. Information searched in October 2020, January 2021 and August 2021, for English language publications of the last decade (2010-2020) were obtained from elec-tronic databases. Screening, data extraction and risk of bias assessment were undertaken by two investigators. The risk of bias was evaluated using the Review Manager (RevMan 5) tool. Meta-analysis and case report studies were not included in this review.Through the screening process a total of 557 publications were identified after the removal of duplicates. Out of these, 65 were fully evaluated and 44 of these were included in the review. Most studies evaluated the pro-teome of disease and compared it with a healthy population, and most of the articles included were made on serum, followed by saliva. The overall risk of bias for all studies was high, due to an absence in the generation of random sequence. Overall proteomic analysis has allowed the discovery of new physiopathological pathways of diseases and potential biomarkers in the dog, which are addressed in this review.

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