Literature DB >> 29773885

Metabolic perturbations of post-load hyperglycemia vs. fasting hyperglycemia.

Jing-Yi Lu1, Jia-Hui Peng1, Xiao-Jing Ma2, Yi-Nan Zhang3, Wei Zhu1, Xing-Xing He1, Ling-Wen Ying1, Yu-Qian Bao1, Jian Zhou4, Wei-Ping Jia1.   

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.

Entities:  

Keywords:  Type 2 diabetes; insulin resistance; insulin secretion; metabolomics

Mesh:

Substances:

Year:  2018        PMID: 29773885      PMCID: PMC6329793          DOI: 10.1038/s41401-018-0018-6

Source DB:  PubMed          Journal:  Acta Pharmacol Sin        ISSN: 1671-4083            Impact factor:   6.150


  27 in total

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Review 3.  Contributions of beta-cell dysfunction and insulin resistance to the pathogenesis of impaired glucose tolerance and impaired fasting glucose.

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Journal:  Diabetes Care       Date:  2006-05       Impact factor: 19.112

4.  Studies of mannose metabolism and effects of long-term mannose ingestion in the mouse.

Authors:  J A Davis; H H Freeze
Journal:  Biochim Biophys Acta       Date:  2001-10-03

5.  Long-term AICAR administration and exercise prevents diabetes in ZDF rats.

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Review 6.  Hyperglycemia and cardiovascular disease in type 2 diabetes.

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Journal:  Diabetes       Date:  1999-05       Impact factor: 9.461

7.  The relationship between glucose and incident cardiovascular events. A metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 years.

Authors:  M Coutinho; H C Gerstein; Y Wang; S Yusuf
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8.  Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp.

Authors:  M Matsuda; R A DeFronzo
Journal:  Diabetes Care       Date:  1999-09       Impact factor: 19.112

9.  Physiological changes in circulating mannose levels in normal, glucose-intolerant, and diabetic subjects.

Authors:  Hirohito Sone; Hitoshi Shimano; Hiroyuki Ebinuma; Akimitsu Takahashi; Yoshihiro Yano; Kaoruko Tada Iida; Hiroaki Suzuki; Hideo Toyoshima; Yasushi Kawakami; Yukichi Okuda; Yuichi Noguchi; Koji Ushizawa; Kazunori Saito; Nobuhiro Yamada
Journal:  Metabolism       Date:  2003-08       Impact factor: 8.694

10.  Long-term AICAR administration reduces metabolic disturbances and lowers blood pressure in rats displaying features of the insulin resistance syndrome.

Authors:  Esben S Buhl; Niels Jessen; Rasmus Pold; Thomas Ledet; Allan Flyvbjerg; Steen B Pedersen; Oluf Pedersen; Ole Schmitz; Sten Lund
Journal:  Diabetes       Date:  2002-07       Impact factor: 9.461

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