Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Veterinary School, Campus of Excellence Mare Nostrum, University of Murcia, Campus Espinardo, 30100 Murcia, Spain.
Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Veterinary School, Campus of Excellence Mare Nostrum, University of Murcia, Campus Espinardo, 30100 Murcia, Spain; Department of Animal and Food Science, School of Veterinary Science, Universitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Barcelona, Spain.
Res Vet Sci. 2022 Mar;143:107-114. doi: 10.1016/j.rvsc.2021.12.026. Epub 2021 Dec 31.
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 specifically 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 electronic 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 proteome 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.
蛋白质组学分析作为一种检测犬疾病生物标志物的方法正在迅速发展。除了作为伴侣动物的重要性外,犬还作为研究的重要动物模型。本研究旨在系统地回顾有关犬蛋白质组学研究的证据,特别是在血清、唾液、尿液和/或血浆中进行的研究。2020 年 10 月、2021 年 1 月和 2021 年 8 月,从电子数据库中检索了过去十年(2010-2020 年)的英文出版物的信息。两名研究人员进行了筛选、数据提取和偏倚风险评估。使用 Review Manager(RevMan 5)工具评估偏倚风险。本综述不包括荟萃分析和病例报告研究。经过筛选过程,在去除重复项后总共确定了 557 篇出版物。在这些出版物中,有 65 篇被全面评估,其中 44 篇被纳入综述。大多数研究评估了疾病的蛋白质组,并将其与健康人群进行了比较,而且大多数文章都是基于血清进行的,其次是唾液。由于缺乏随机序列的生成,所有研究的总体偏倚风险都很高。总体蛋白质组学分析使得能够发现犬疾病的新病理生理途径和潜在的生物标志物,本综述对此进行了讨论。