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The use of urinary proteomics in the assessment of suitability of mouse models for ageing
- Source :
- PLOS ONE, 12(2):e0166875, PLoS ONE, PLoS ONE, Vol 12, Iss 2, p e0166875 (2017)
- Publication Year :
- 2017
- Publisher :
- Public Library of Science, 2017.
-
Abstract
- Ageing is a complex process characterised by a systemic and progressive deterioration of biological functions. As ageing is associated with an increased prevalence of age-related chronic disorders, understanding its underlying molecular mechanisms can pave the way for therapeutic interventions and managing complications. Animal models such as mice are commonly used in ageing research as they have a shorter lifespan in comparison to humans and are also genetically close to humans. To assess the translatability of mouse ageing to human ageing, the urinary proteome in 89 wild-type (C57BL/6) mice aged between 8-96 weeks was investigated using capillary electrophoresis coupled to mass spectrometry (CE-MS). Using age as a continuous variable, 295 peptides significantly correlated with age in mice were identified. To investigate the relevance of using mouse models in human ageing studies, a comparison was performed with a previous correlation analysis using 1227 healthy subjects. In mice and humans, a decrease in urinary excretion of fibrillar collagens and an increase of uromodulin fragments was observed with advanced age. Of the 295 peptides correlating with age, 49 had a strong homology to the respective human age-related peptides. These ortholog peptides including several collagen (N = 44) and uromodulin (N = 5) fragments were used to generate an ageing classifier that was able to discriminate the age among both wild-type mice and healthy subjects. Additionally, the ageing classifier depicted that telomerase knock-out mice were older than their chronological age. Hence, with a focus on ortholog urinary peptides mouse ageing can be translated to human ageing.
- Subjects :
- Male
Proteomics
0301 basic medicine
Aging
Telomerase
Tamm–Horsfall protein
Proteome
Physiology
Proteomes
Aging and Cancer
lcsh:Medicine
Bioinformatics
Biochemistry
Mass Spectrometry
Machine Learning
Mice
0302 clinical medicine
Capillary Electrochromatography
Medicine and Health Sciences
lcsh:Science
Mice, Knockout
Multidisciplinary
Cancer Risk Factors
Support vector machines
Mouse models
Kidneys
Urine
Aging and cancer
Collagens
Animal Models
Experimental Organism Systems
Oncology
030220 oncology & carcinogenesis
Correlation analysis
Female
Anatomy
Research Article
Computer and Information Sciences
Urinary system
Mouse Models
Biology
Research and Analysis Methods
Models, Biological
03 medical and health sciences
Model Organisms
Artificial Intelligence
Support Vector Machines
Animals
Humans
lcsh:R
Biology and Life Sciences
Proteins
Renal System
Chronic disorders
030104 developmental biology
Ageing
biology.protein
Cognitive Science
lcsh:Q
Physiological Processes
Peptides
Organism Development
Developmental Biology
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Database :
- OpenAIRE
- Journal :
- PLOS ONE, 12(2):e0166875, PLoS ONE, PLoS ONE, Vol 12, Iss 2, p e0166875 (2017)
- Accession number :
- edsair.doi.dedup.....db6ccde636d93ff8535d27a5538ea821