Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus
Regulation of blood glucose requires precise coordination between different endocrine systems and multiple organs. Type 2 diabetes mellitus (T2D) arises from a dysregulated response to elevated glucose levels in the circulation. Globally, the prevalence of T2D has increased dramatically in all age g...
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sg-ntu-dr.10356-881352020-11-01T05:30:22Z Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus Tam, Zhi Yang Ng, Sean Pin Tan, Ling Qiao Lin, Chih-Hsien Rothenbacher, Dietrich Klenk, Jochen Boehm, Bernhard Otto Goh, Kelvin Kau Kiat Suwanchaikasem, Pipob Tipthara, Pornpimol Koenig, W. Riepe, M. Peter, R. Geiger, H. Ludolph, A. Arnim, C. v. Denkinger, M. D. Yang, Song Yi Nagel, G. Weinmayr, G. Rapp, K. Dallmeier, D. Steinacker, J. M. Laszlo, R. Becker, T. Stingl, J. Lee Kong Chian School of Medicine (LKCMedicine) Singapore Phenome Centre Diabetes Mellitus Metabolite Profiling DRNTU::Science::Medicine Regulation of blood glucose requires precise coordination between different endocrine systems and multiple organs. Type 2 diabetes mellitus (T2D) arises from a dysregulated response to elevated glucose levels in the circulation. Globally, the prevalence of T2D has increased dramatically in all age groups. T2D in older adults is associated with higher mortality and reduced functional status, leading to higher rate of institutionalization. Despite the potential healthcare challenges associated with the presence of T2D in the elderly, the pathogenesis and phenotype of late-onset T2D is not well studied. Here we applied untargeted metabolite profiling of urine samples from people with and without late-onset T2D using ultra-performance liquid-chromatography mass-spectrometry (UPLC-MS) to identify urinary biomarkers for late-onset T2D in the elderly. Statistical modeling of measurements and thorough validation of structural assignment using liquid chromatography tandem mass-spectrometry (LC-MS/MS) have led to the identification of metabolite biomarkers associated with late-onset T2D. Lower levels of phenylalanine, acetylhistidine, and cyclic adenosine monophosphate (cAMP) were found in urine samples of T2D subjects validated with commercial standards. Elevated levels of 5′-methylthioadenosine (MTA), which previously has only been implicated in animal model of diabetes, was found in urine of older people with T2D. Published version 2018-08-20T05:32:44Z 2019-12-06T16:56:48Z 2018-08-20T05:32:44Z 2019-12-06T16:56:48Z 2017 Journal Article Tam, Z. Y., Ng, S. P., Tan, L. Q., Lin, C.-H., Rothenbacher, D., Klenk, J., . . . Laszlo, R. (2017). Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus. Scientific Reports, 7, 4392-. doi:10.1038/s41598-017-01735-y 2045-2322 https://hdl.handle.net/10356/88135 http://hdl.handle.net/10220/45623 10.1038/s41598-017-01735-y en Scientific Reports © 2017 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. 12 p. application/pdf |
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Diabetes Mellitus Metabolite Profiling DRNTU::Science::Medicine |
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Diabetes Mellitus Metabolite Profiling DRNTU::Science::Medicine Tam, Zhi Yang Ng, Sean Pin Tan, Ling Qiao Lin, Chih-Hsien Rothenbacher, Dietrich Klenk, Jochen Boehm, Bernhard Otto Goh, Kelvin Kau Kiat Suwanchaikasem, Pipob Tipthara, Pornpimol Koenig, W. Riepe, M. Peter, R. Geiger, H. Ludolph, A. Arnim, C. v. Denkinger, M. D. Yang, Song Yi Nagel, G. Weinmayr, G. Rapp, K. Dallmeier, D. Steinacker, J. M. Laszlo, R. Becker, T. Stingl, J. Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus |
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Regulation of blood glucose requires precise coordination between different endocrine systems and multiple organs. Type 2 diabetes mellitus (T2D) arises from a dysregulated response to elevated glucose levels in the circulation. Globally, the prevalence of T2D has increased dramatically in all age groups. T2D in older adults is associated with higher mortality and reduced functional status, leading to higher rate of institutionalization. Despite the potential healthcare challenges associated with the presence of T2D in the elderly, the pathogenesis and phenotype of late-onset T2D is not well studied. Here we applied untargeted metabolite profiling of urine samples from people with and without late-onset T2D using ultra-performance liquid-chromatography mass-spectrometry (UPLC-MS) to identify urinary biomarkers for late-onset T2D in the elderly. Statistical modeling of measurements and thorough validation of structural assignment using liquid chromatography tandem mass-spectrometry (LC-MS/MS) have led to the identification of metabolite biomarkers associated with late-onset T2D. Lower levels of phenylalanine, acetylhistidine, and cyclic adenosine monophosphate (cAMP) were found in urine samples of T2D subjects validated with commercial standards. Elevated levels of 5′-methylthioadenosine (MTA), which previously has only been implicated in animal model of diabetes, was found in urine of older people with T2D. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Tam, Zhi Yang Ng, Sean Pin Tan, Ling Qiao Lin, Chih-Hsien Rothenbacher, Dietrich Klenk, Jochen Boehm, Bernhard Otto Goh, Kelvin Kau Kiat Suwanchaikasem, Pipob Tipthara, Pornpimol Koenig, W. Riepe, M. Peter, R. Geiger, H. Ludolph, A. Arnim, C. v. Denkinger, M. D. Yang, Song Yi Nagel, G. Weinmayr, G. Rapp, K. Dallmeier, D. Steinacker, J. M. Laszlo, R. Becker, T. Stingl, J. |
format |
Article |
author |
Tam, Zhi Yang Ng, Sean Pin Tan, Ling Qiao Lin, Chih-Hsien Rothenbacher, Dietrich Klenk, Jochen Boehm, Bernhard Otto Goh, Kelvin Kau Kiat Suwanchaikasem, Pipob Tipthara, Pornpimol Koenig, W. Riepe, M. Peter, R. Geiger, H. Ludolph, A. Arnim, C. v. Denkinger, M. D. Yang, Song Yi Nagel, G. Weinmayr, G. Rapp, K. Dallmeier, D. Steinacker, J. M. Laszlo, R. Becker, T. Stingl, J. |
author_sort |
Tam, Zhi Yang |
title |
Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus |
title_short |
Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus |
title_full |
Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus |
title_fullStr |
Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus |
title_full_unstemmed |
Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus |
title_sort |
metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/88135 http://hdl.handle.net/10220/45623 |
_version_ |
1683494431012945920 |