南昌大学聂少平:阿拉伯木聚糖调节2型糖尿病大鼠代谢

创作:药农 审核:沈志勋 10月02日
高脂饮食和链脲佐菌素诱导大鼠的2型糖尿病(T2D),研究车前子来源的阿拉伯木聚糖对T2D大鼠尿样代谢组学的影响;
T2D大鼠丙酮、葡萄糖、2-氧戊二酸和亮氨酸水平显著增加,肌酸、组氨酸、赖氨酸、L-色氨酸,马尿酸盐、L-半胱氨酸、犬尿氨酸和阿拉伯糖醇浓度显著降低,这12种代谢物可用作T2D的生物标志物;
阿拉伯木聚糖影响代谢的途径主要涉及三羧酸循环,以及脂质、酮体、牛磺酸、亚牛磺酸、色氨酸和支链氨基酸代谢。
延伸阅读

Arabinoxylan Attenuates Type 2 diabetes by Improvement of Carbohydrate, Lipid And Amino Acid Metabolism

阿拉伯木聚糖通过调节糖类、脂质和氨基酸代谢缓解2型糖尿病

09-13, Article, 10.1002/mnfr.201800222more

Abstract:
SCOPE: Type 2 diabetes is a complex metabolic and endocrine disorder worldwide, which causes severe health and economic problems. The aim of this study was to investigate the molecular mechanisms by which arabinoxylan from Plantago asiatica L. attenuates type 2 diabetes from perspective of urine metabolomics.
METHODS AND RESULTS: High-fat diet and streptozotocin-induced type 2 diabetic rats were treated with arabinoxylan, then the urine samples were collected for untargeted metabolomics analysis by UPLC-Triple-TOF/MS. Diabetes caused significant increases in the levels of acetone, glucose, 2-oxoglutarate and leucine, and significant decreases in the concentrations of creatine, histidine, lysine, L-tryptophan, hippurate, L-cysteine, kynurenine and arabitol compared with normal rats (p < 0.01). And these 12 metabolites (with VIP cut-off value > 1) can be used as biomarkers in type 2 diabetes. A total of 21 urinary metabolites were significantly improved by arabinoxylan administration in diabetic rats, and these metabolites were mainly involved in TCA cycle, and metabolism of lipid and ketone body, taurine and hypotaurine, tryptophan, and branched chain amino acids.
CONCLUSION: Arabinoxylan administration improved carbohydrate, lipid and amino acid metabolism in type 2 diabetic rats, which provided important insights into the mechanisms underlying type 2 diabetes as well as the effects of arabinoxylan. This article is protected by copyright. All rights reserved.

First Authors:
Qixing Nie

Correspondence Authors:
Shaoping Nie

All Authors:
Qixing Nie,Haihong Chen,Jielun Hu,He Gao,Linlin Fan,Zhimin Long,Shaoping Nie