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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.
Afiliación
  • Masania J; Warwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.
  • Faustmann G; Clinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
  • Anwar A; Human Nutrition & Metabolism Research and Training Center (HNMRC), Institute of Molecular Biosciences, Karl Franzens University of Graz, Universitätsplatz 2, 8010 Graz, Austria.
  • Hafner-Giessauf H; Warwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.
  • Rajpoot N; Clinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
  • Grabher J; Department of Computer Sciences, University of Warwick, Coventry CV4 7AL, UK.
  • Rajpoot K; Clinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
  • Tiran B; School of Computer Science, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
  • Obermayer-Pietsch B; Clinical Institute of Medical and Clinical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria.
  • Winklhofer-Roob BM; Clinical Division of Endocrinology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
  • Roob JM; Human Nutrition & Metabolism Research and Training Center (HNMRC), Institute of Molecular Biosciences, Karl Franzens University of Graz, Universitätsplatz 2, 8010 Graz, Austria.
  • Rabbani N; Clinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
  • Thornalley PJ; Warwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.
Oxid Med Cell Longev ; 2019: 4851323, 2019.
Article en En | MEDLINE | ID: mdl-31827677
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Vasculares / Biomarcadores / Riñón / Enfermedades Metabólicas Tipo de estudio: Observational_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Oxid Med Cell Longev Asunto de la revista: METABOLISMO Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Vasculares / Biomarcadores / Riñón / Enfermedades Metabólicas Tipo de estudio: Observational_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Oxid Med Cell Longev Asunto de la revista: METABOLISMO Año: 2019 Tipo del documento: Article