Article

Metabolic perturbations of post-load hyperglycemia vs. fasting hyperglycemia

Authors: Jing-yi Lu1, Jia-hui Peng1, Xiao-jing Ma1, Yi-nan Zhang2, Wei Zhu1, Xing-xing He1, Ling-wen Ying1, Yu-qian Bao1, Jian Zhou1, Wei-ping Jia1
1 Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China
2 Shanghai Key Laboratory of Diabetes, The Metabolic Diseases Biobank, Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China
Correspondence to: Xiao-jing Ma: maxiaojing@sjtu.edu.cn, Jian Zhou: zhoujian@sjtu.edu.cn,
DOI: 10.1038/s41401-018-0018-6
Received: 6 September 2017
Accepted: 11 February 2018
Advance online: 17 May 2018

Abstract

There is evidence that post-load/post-meal hyperglycemia is a stronger risk factor for cardiovascular disease than fasting hyperglycemia. The underlying mechanism remains to be elucidated. The current study aimed to compare the metabolic profiles of post-load hyperglycemia and fasting hyperglycemia. All subjects received an oral glucose tolerance test (OGTT) and were stratified into fasting hyperglycemia (FH) or post-load hyperglycemia (PH). Forty-six (FH, n = 23; PH, n = 23) and 40 patients (FH, n = 20; PH, n = 20) were recruited as the exploratory and the validation set, respectively, and underwent metabolic profiling. Eighty-seven subjects including normal controls (NC: n = 36; FH: n = 22; PH: n = 29) were additionally enrolled and assayed with enzyme-linked immunosorbent assay (ELISA). In the exploratory set, 10 metabolites were selected as differential metabolites of PH (vs. FH). Of them, mannose and 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR) were confirmed in the validation set to be significantly higher in FH than in PH. In the 87 subjects measured with ELISA, FH had numerically higher mannose (466.0 ± 179.3 vs. 390.1 ± 140.2 pg/ml) and AICAR (523.5 ± 164.8 vs. 512.1 ± 186.0 pg/ml) than did PH. In the pooled dataset comprising 173 subjects, mannose was independently associated with FPG (β = 0.151, P = 0.035) and HOMA-IR (β = 0.160, P = 0.026), respectively. The associations of AICAR with biochemical parameters did not reach statistical significance. FH and PH exhibited distinct metabolic profiles. The perturbation of mannose may be involved in the pathophysiologic disturbances in diabetes.
Keywords: Type 2 diabetes; insulin resistance; insulin secretion; metabolomics

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