Cargando…
Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health
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 metabolite...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885816/ https://www.ncbi.nlm.nih.gov/pubmed/31827677 http://dx.doi.org/10.1155/2019/4851323 |
_version_ | 1783474796006211584 |
---|---|
author | Masania, Jinit Faustmann, Gernot Anwar, Attia Hafner-Giessauf, Hildegard Rajpoot, Nasir Grabher, Johanna Rajpoot, Kashif Tiran, Beate Obermayer-Pietsch, Barbara Winklhofer-Roob, Brigitte M. Roob, Johannes M. Rabbani, Naila Thornalley, Paul J. |
author_facet | Masania, Jinit Faustmann, Gernot Anwar, Attia Hafner-Giessauf, Hildegard Rajpoot, Nasir Grabher, Johanna Rajpoot, Kashif Tiran, Beate Obermayer-Pietsch, Barbara Winklhofer-Roob, Brigitte M. Roob, Johannes M. Rabbani, Naila Thornalley, Paul J. |
author_sort | Masania, Jinit |
collection | PubMed |
description | 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(ε)-carboxymethyl-lysine, glucosepane, glutamic semialdehyde, and pyrraline; impaired vascular health—increased glucosepane; and impaired renal health—increased BCAAs and decreased N(ε)-(γ-glutamyl)lysine. Algorithms combining subject age, BMI, and BCAAs discriminated between healthy controls and impaired metabolic, vascular, and renal health study groups with accuracy of 84%, 72%, and 90%, respectively. In 2-step analysis, algorithms combining subject age, BMI, and urinary N(ε)-fructosyl-lysine and valine discriminated between healthy controls and impaired health (any type), accuracy of 78%, and then between types of health impairment with accuracy of 69%-78% (cf. random selection 33%). From likelihood ratios, this provided small, moderate, and conclusive evidence of early-stage cardiovascular, metabolic, and renal disease with diagnostic odds ratios of 6 – 7, 26 – 28, and 34 – 79, respectively. We conclude that measurement of urinary glycated, oxidized, crosslinked, and branched-chain amino acids provides the basis for a noninvasive health screen for early-stage health decline in metabolic, vascular, and renal health. |
format | Online Article Text |
id | pubmed-6885816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-68858162019-12-11 Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health Masania, Jinit Faustmann, Gernot Anwar, Attia Hafner-Giessauf, Hildegard Rajpoot, Nasir Grabher, Johanna Rajpoot, Kashif Tiran, Beate Obermayer-Pietsch, Barbara Winklhofer-Roob, Brigitte M. Roob, Johannes M. Rabbani, Naila Thornalley, Paul J. Oxid Med Cell Longev Research Article 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(ε)-carboxymethyl-lysine, glucosepane, glutamic semialdehyde, and pyrraline; impaired vascular health—increased glucosepane; and impaired renal health—increased BCAAs and decreased N(ε)-(γ-glutamyl)lysine. Algorithms combining subject age, BMI, and BCAAs discriminated between healthy controls and impaired metabolic, vascular, and renal health study groups with accuracy of 84%, 72%, and 90%, respectively. In 2-step analysis, algorithms combining subject age, BMI, and urinary N(ε)-fructosyl-lysine and valine discriminated between healthy controls and impaired health (any type), accuracy of 78%, and then between types of health impairment with accuracy of 69%-78% (cf. random selection 33%). From likelihood ratios, this provided small, moderate, and conclusive evidence of early-stage cardiovascular, metabolic, and renal disease with diagnostic odds ratios of 6 – 7, 26 – 28, and 34 – 79, respectively. We conclude that measurement of urinary glycated, oxidized, crosslinked, and branched-chain amino acids provides the basis for a noninvasive health screen for early-stage health decline in metabolic, vascular, and renal health. Hindawi 2019-11-19 /pmc/articles/PMC6885816/ /pubmed/31827677 http://dx.doi.org/10.1155/2019/4851323 Text en Copyright © 2019 Jinit Masania et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The publication of this article was funded by Qatar National Library. |
spellingShingle | Research Article Masania, Jinit Faustmann, Gernot Anwar, Attia Hafner-Giessauf, Hildegard Rajpoot, Nasir Grabher, Johanna Rajpoot, Kashif Tiran, Beate Obermayer-Pietsch, Barbara Winklhofer-Roob, Brigitte M. Roob, Johannes M. Rabbani, Naila Thornalley, Paul J. Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health |
title | Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health |
title_full | Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health |
title_fullStr | Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health |
title_full_unstemmed | Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health |
title_short | Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health |
title_sort | urinary metabolomic markers of protein glycation, oxidation, and nitration in early-stage decline in metabolic, vascular, and renal health |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885816/ https://www.ncbi.nlm.nih.gov/pubmed/31827677 http://dx.doi.org/10.1155/2019/4851323 |
work_keys_str_mv | AT masaniajinit urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT faustmanngernot urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT anwarattia urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT hafnergiessaufhildegard urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT rajpootnasir urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT grabherjohanna urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT rajpootkashif urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT tiranbeate urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT obermayerpietschbarbara urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT winklhoferroobbrigittem urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT roobjohannesm urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT rabbaninaila urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth AT thornalleypaulj urinarymetabolomicmarkersofproteinglycationoxidationandnitrationinearlystagedeclineinmetabolicvascularandrenalhealth |