Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study

Abstract To investigate the metabolic biomarkers of predicting the transition from pre-diabetes (pre-DM) to normal glucose regulation (NGR) and diabetes (DM) in a longitudinal cohort study. 108 participants with pre-DM were followed up for ten years and divided into 3 groups according to different g...

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Autores principales:	Hailuan Zeng, Renchao Tong, Wenxin Tong, Qiaoling Yang, Miaoyan Qiu, Aizhen Xiong, Siming Sun, Lili Ding, Hongli Zhang, Li Yang, Jingyan Tian
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/899ac24eba0b4a808497d872c0209f3c
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spelling	oai:doaj.org-article:899ac24eba0b4a808497d872c0209f3c2021-12-02T12:32:52ZMetabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study10.1038/s41598-017-06309-62045-2322https://doaj.org/article/899ac24eba0b4a808497d872c0209f3c2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06309-6https://doaj.org/toc/2045-2322Abstract To investigate the metabolic biomarkers of predicting the transition from pre-diabetes (pre-DM) to normal glucose regulation (NGR) and diabetes (DM) in a longitudinal cohort study. 108 participants with pre-DM were followed up for ten years and divided into 3 groups according to different glycemic outcomes. 20 participants progressed to DM, 20 regressed to NGR, and 68 remained at pre-DM. Alterations in plasma metabolites in these groups were evaluated by untargeted ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). Twenty three metabolites related to glycerophospholipid metabolism, oxidation and antioxidation were associated with the process from pre-DM to NGR, while twenty two metabolites related to amino acid metabolism, glycerophospholipid metabolism and mitochondrial β-oxidation played important roles in the progression to DM. Results from stepwise logistic regression analysis showed that five biomarkers (20-Hydroxy-leukotriene E4, Lysopc(20:4), 5-methoxytryptamine, Endomorphin-1, Lysopc(20:3)) were good prediction for the restoration to NGR, and five biomarkers (Iso-valeraldehyde, linoleic acid, Lysopc(18:1), 2-Pyrroloylglycine, Dityrosine) for the development of DM. The findings suggest that the combination of these potential metabolites may be used for the prognosis of pre-DM. Targeting the pathways that involved in these prognostic biomarkers would be beneficial for the regression to NGR and the early prevention of DM among pre-DM.Hailuan ZengRenchao TongWenxin TongQiaoling YangMiaoyan QiuAizhen XiongSiming SunLili DingHongli ZhangLi YangJingyan TianNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hailuan Zeng Renchao Tong Wenxin Tong Qiaoling Yang Miaoyan Qiu Aizhen Xiong Siming Sun Lili Ding Hongli Zhang Li Yang Jingyan Tian Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study
description	Abstract To investigate the metabolic biomarkers of predicting the transition from pre-diabetes (pre-DM) to normal glucose regulation (NGR) and diabetes (DM) in a longitudinal cohort study. 108 participants with pre-DM were followed up for ten years and divided into 3 groups according to different glycemic outcomes. 20 participants progressed to DM, 20 regressed to NGR, and 68 remained at pre-DM. Alterations in plasma metabolites in these groups were evaluated by untargeted ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). Twenty three metabolites related to glycerophospholipid metabolism, oxidation and antioxidation were associated with the process from pre-DM to NGR, while twenty two metabolites related to amino acid metabolism, glycerophospholipid metabolism and mitochondrial β-oxidation played important roles in the progression to DM. Results from stepwise logistic regression analysis showed that five biomarkers (20-Hydroxy-leukotriene E4, Lysopc(20:4), 5-methoxytryptamine, Endomorphin-1, Lysopc(20:3)) were good prediction for the restoration to NGR, and five biomarkers (Iso-valeraldehyde, linoleic acid, Lysopc(18:1), 2-Pyrroloylglycine, Dityrosine) for the development of DM. The findings suggest that the combination of these potential metabolites may be used for the prognosis of pre-DM. Targeting the pathways that involved in these prognostic biomarkers would be beneficial for the regression to NGR and the early prevention of DM among pre-DM.
format	article
author	Hailuan Zeng Renchao Tong Wenxin Tong Qiaoling Yang Miaoyan Qiu Aizhen Xiong Siming Sun Lili Ding Hongli Zhang Li Yang Jingyan Tian
author_facet	Hailuan Zeng Renchao Tong Wenxin Tong Qiaoling Yang Miaoyan Qiu Aizhen Xiong Siming Sun Lili Ding Hongli Zhang Li Yang Jingyan Tian
author_sort	Hailuan Zeng
title	Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study
title_short	Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study
title_full	Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study
title_fullStr	Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study
title_full_unstemmed	Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study
title_sort	metabolic biomarkers for prognostic prediction of pre-diabetes: results from a longitudinal cohort study
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/899ac24eba0b4a808497d872c0209f3c
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Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study

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