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Scientific reports2022; 12(1); 22590; doi: 10.1038/s41598-022-27245-0

DIA mass spectrometry characterizes urinary proteomics in neonatal and adult donkeys.

Abstract: Health monitoring is critical for newborn animals due to their vulnerability to diseases. Urine can be not only a useful and non-invasive tool (free-catch samples) to reflect the physiological status of animals but also to help monitor the progression of diseases. Proteomics involves the study of the whole complement of proteins and peptides, including structure, quantities, functions, variations and interactions. In this study, urinary proteomics of neonatal donkeys were characterized and compared to the profiles of adult donkeys to provide a reference database for healthy neonatal donkeys. The urine samples were collected from male neonatal donkeys on their sixth to tenth days of life (group N) and male adult donkeys aging 4-6 years old (group A). Library-free data-independent acquisition (direct DIA) mass spectrometry-based proteomics were applied to analyze the urinary protein profiles. Total 2179 urinary proteins were identified, and 411 proteins were differentially expressed (P < 0.05) between the two groups. 104 proteins were exclusively expressed in group N including alpha fetoprotein (AFP), peptidase-mitochondrial processing data unit (PMPCB), and upper zone of growth plate and cartilage matrix associated (UCMA), which might be used to monitor the health status of neonatal donkeys. In functional analysis, some differentially expressed proteins were identified related to immune system pathways, which might provide more insight in the immature immunity of neonatal donkeys. To the best of our knowledge, this is the first time to report donkey urinary proteome and our results might provide reference for urinary biomarker discovery used to monitor and evaluate health status of neonatal donkeys.
Publication Date: 2022-12-30 PubMed ID: 36585464PubMed Central: PMC9803668DOI: 10.1038/s41598-022-27245-0Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research focuses on examining and comparing the urinary proteins in young and adult donkeys. The study aims to create a reference database to help understand the health status of neonatal donkeys.

Objective of the Research

  • The study aims at understanding the urinary proteomics in both neonatal and adult donkeys. Through this analysis, the researchers hope to create a reference database for healthy neonatal donkeys. The primary tool for this study is library-free data-independent acquisition (direct DIA) mass spectrometry-based proteomics, which is used to analyze the urinary protein profiles.

Methods used in the Research

  • The urine samples were collected from male neonatal donkeys within their initial 6-10 days (group N) and adult donkeys aged 4-6 years (group A).
  • The process of library-free data-independent acquisition (direct DIA) mass spectrometry-based proteomics was applied to study the samples.

Results of the Research

  • A total of 2179 urinary proteins were identified in the analyzed samples. Among these, 411 proteins showed different levels of expression (P < 0.05) between the neonatal and adult donkeys.
  • They discovered that 104 proteins were only detected in the neonatal group. Some of these specific proteins could potentially be used as biomarkers to monitor the health status of neonatal donkeys.

Significance of Identified Proteins

  • The proteins selectively expressed in the neonatal group include alpha fetoprotein (AFP), peptidase-mitochondrial processing data unit (PMPCB), and upper zone of growth plate and cartilage matrix associated (UCMA).
  • The presence of these proteins in neonatal donkeys’ urine can provide crucial information on the physiological and health status of the animals.

Implications of the Research

  • A number of differentially expressed proteins were identified related to immune system pathways, helping researchers gain insights into the immature immunity of neonatal donkeys.
  • This research, which reportedly is the first of its kind, provides a useful reference for identifying urinary biomarkers that can be used to monitor and evaluate the health status of neonatal donkeys.

Cite This Article

APA
Yu F, Chen Y, Liu B, Wang T, Ding Z, Yi Z, Zhu Y, Li J. (2022). DIA mass spectrometry characterizes urinary proteomics in neonatal and adult donkeys. Sci Rep, 12(1), 22590. https://doi.org/10.1038/s41598-022-27245-0

Publication

ISSN: 2045-2322
NlmUniqueID: 101563288
Country: England
Language: English
Volume: 12
Issue: 1
Pages: 22590
PII: 22590

Researcher Affiliations

Yu, Feng
  • Equine Clinical Diagnostic Center, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, 100093, China.
Chen, Yifan
  • Equine Clinical Diagnostic Center, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, 100093, China.
Liu, Bo
  • Equine Clinical Diagnostic Center, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, 100093, China.
Wang, Tao
  • Dong-E-E-Jiao Co., Ltd., Dong-E County, 252299, Shandong, China.
Ding, Zhaoliang
  • Dong-E-E-Jiao Co., Ltd., Dong-E County, 252299, Shandong, China.
Yi, Ziwen
  • Equine Clinical Diagnostic Center, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, 100093, China.
Zhu, Yiping
  • Equine Clinical Diagnostic Center, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, 100093, China. yipingz@cau.edu.cn.
Li, Jing
  • Equine Clinical Diagnostic Center, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, 100093, China. jlivet@cau.edu.cn.

MeSH Terms

  • Animals
  • Male
  • Proteomics / methods
  • Equidae / metabolism
  • Mass Spectrometry / methods
  • Peptides
  • Proteome / metabolism

Conflict of Interest Statement

The authors declare no competing interests.

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