Literature DB >> 32335294

Urinary proteome and metabolome in dogs (Canis lupus familiaris): The effect of chronic kidney disease.

Enea Ferlizza1, Gloria Isani2, Francesco Dondi3, Giulia Andreani3, Katerina Vasylyeva3, Elisa Bellei4, André M Almeida5, Manolis Matzapetakis6.   

Abstract

Chronic kidney disease (CKD) is a progressive and irreversible disease. Although urine is an ideal biological sample for proteomics and metabolomics studies, sensitive and specific biomarkers are currently lacking in dogs. This study characterised dog urine proteome and metabolome aiming to identify and possibly quantify putative biomarkers of CKD in dogs. Twenty-two healthy dogs and 28 dogs with spontaneous CKD were selected and urine samples were collected. Urinary proteome was separated by SDS-PAGE and analysed by mass spectrometry, while urinary metabolome was analysed in protein-depleted samples by 1D 1H NMR spectra. The most abundant proteins in urine samples from healthy dogs were uromodulin, albumin and, in entire male dogs, arginine esterase. In urine samples from CKD dogs, the concentrations of uromodulin and albumin were significantly lower and higher, respectively, than in healthy dogs. In addition, these samples were characterised by a more complex protein pattern indicating mixed glomerular (protein bands ≥65 kDa) and tubular (protein bands <65 kDa) proteinuria. Urine spectra acquired by NMR allowed the identification of 86 metabolites in healthy dogs, belonging to 49 different pathways mainly involved in amino acid metabolism, purine and aminoacyl-tRNA biosynthesis or tricarboxylic acid cycle. Seventeen metabolites showed significantly different concentrations when comparing healthy and CKD dogs. In particular, carnosine, trigonelline, and cis-aconitate, might be suggested as putative biomarkers of CKD in dogs. SIGNIFICANCE: Urine is an ideal biological sample, however few proteomics and metabolomics studies investigated this fluid in dogs and in the context of CKD (chronic kidney disease). In this research, applying a multi-omics approach, new insights were gained regarding the molecular changes triggered by this disease in canine urinary proteome and metabolome. In particular, the involvement of the tubular component was highlighted, suggesting uromodulin, trigonelline and carnosine as possible biomarkers of CKD in dogs.
Copyright © 2020 Elsevier B.V. All rights reserved.

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Year:  2020        PMID: 32335294     DOI: 10.1016/j.jprot.2020.103795

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


  5 in total

1.  Noninvasive sampling method for urinalysis and urine protein profile in captive giraffes.

Authors:  Sabrina Fasoli; Enea Ferlizza; Giulia Andreani; Camillo Sandri; Francesco Dondi; Gloria Isani
Journal:  J Vet Diagn Invest       Date:  2020-11-26       Impact factor: 1.279

2.  Metabolomics shows the Australian dingo has a unique plasma profile.

Authors:  Sonu Yadav; Russell Pickford; Robert A Zammit; J William O Ballard
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

3.  In-depth characterisation of the urine metabolome in cats with and without urinary tract diseases.

Authors:  Younjung Kim; Wei Xu; Vanessa Barrs; Julia Beatty; Ákos Kenéz
Journal:  Metabolomics       Date:  2022-03-17       Impact factor: 4.747

4.  Urinary Proteome Differences in Canine Diabetes with and without the Presence of Microalbuminuria.

Authors:  Dagmara Winiarczyk; Mateusz Winiarczyk; Katarzyna Michalak; Stanisław Winiarczyk; Łukasz Adaszek
Journal:  Animals (Basel)       Date:  2022-03-16       Impact factor: 2.752

Review 5.  NMR-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective.

Authors:  Elena Hunter; Benita Percival; Zeeshan Ahmad; Ming-Wei Chang; John A Hunt; Séverine Tasker; Luisa De Risio; Philippe B Wilson
Journal:  Mol Cell Biochem       Date:  2021-07-26       Impact factor: 3.396

  5 in total

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