Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health.


Journal

Oxidative medicine and cellular longevity
ISSN: 1942-0994
Titre abrégé: Oxid Med Cell Longev
Pays: United States
ID NLM: 101479826

Informations de publication

Date de publication:
2019
Historique:
received: 23 05 2019
revised: 07 09 2019
accepted: 11 09 2019
entrez: 13 12 2019
pubmed: 13 12 2019
medline: 28 4 2020
Statut: epublish

Résumé

Glycation, oxidation, nitration, and crosslinking of proteins are implicated in the pathogenic mechanisms of type 2 diabetes, cardiovascular disease, and chronic kidney disease. Related modified amino acids formed by proteolysis are excreted in urine. We quantified urinary levels of these metabolites and branched-chain amino acids (BCAAs) in healthy subjects and assessed changes in early-stage decline in metabolic, vascular, and renal health and explored their diagnostic utility for a noninvasive health screen. We recruited 200 human subjects with early-stage health decline and healthy controls. Urinary amino acid metabolites were determined by stable isotopic dilution analysis liquid chromatography-tandem mass spectrometry. Machine learning was applied to optimise and validate algorithms to discriminate between study groups for potential diagnostic utility. Urinary analyte changes were as follows: impaired metabolic health-increased N

Identifiants

pubmed: 31827677
doi: 10.1155/2019/4851323
pmc: PMC6885816
doi:

Substances chimiques

Amino Acids, Branched-Chain 0
Biomarkers 0
Glycation End Products, Advanced 0
3-nitrotyrosine 3604-79-3
Tyrosine 42HK56048U
glucosepane 66K23JT22H
N(6)-carboxymethyllysine 70YDX3Z2O7
Lysine K3Z4F929H6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4851323

Informations de copyright

Copyright © 2019 Jinit Masania et al.

Déclaration de conflit d'intérêts

The authors declare that they have no conflict of interest in relation to this work.

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Auteurs

Jinit Masania (J)

Warwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.

Gernot Faustmann (G)

Clinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
Human Nutrition & Metabolism Research and Training Center (HNMRC), Institute of Molecular Biosciences, Karl Franzens University of Graz, Universitätsplatz 2, 8010 Graz, Austria.

Attia Anwar (A)

Warwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.

Hildegard Hafner-Giessauf (H)

Clinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.

Nasir Rajpoot (N)

Department of Computer Sciences, University of Warwick, Coventry CV4 7AL, UK.

Johanna Grabher (J)

Clinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.

Kashif Rajpoot (K)

School of Computer Science, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.

Beate Tiran (B)

Clinical Institute of Medical and Clinical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria.

Barbara Obermayer-Pietsch (B)

Clinical Division of Endocrinology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.

Brigitte M Winklhofer-Roob (BM)

Human Nutrition & Metabolism Research and Training Center (HNMRC), Institute of Molecular Biosciences, Karl Franzens University of Graz, Universitätsplatz 2, 8010 Graz, Austria.

Johannes M Roob (JM)

Clinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.

Naila Rabbani (N)

Warwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.

Paul J Thornalley (PJ)

Warwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.
Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University, Qatar Foundation, P.O. Box 34110, Doha, Qatar.

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Classifications MeSH