低血糖负荷饮食对炎症及代谢的有益影响
  • 招募80名健康受试者进行随机对照交叉试验,摄入低血糖负荷的全谷物(WG)饮食或富含精制谷物及添加糖的(RG)饮食;
  • 干预28天后,在血浆中共检出121个代谢物,其中18个在两组饮食间有显著差异;
  • 在RG饮食组含量更高的犬尿氨酸和褪黑素与C反应蛋白呈显著正相关;
  • WG饮食组在支链氨基酸(BCAA)降解、氧化三甲胺产生及脂肪酸β氧化通路方面具有更优的代谢谱;
  • 上述通路中的BCAA和三甲胺与胰岛素抵抗指数(HOMA-IR)呈显著正相关。
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低血糖负荷饮食模式以全谷物、豆类、水果及蔬菜的摄入为特征,与多种慢性疾病风险的降低相关。American Journal of Clinical Nutrition上发表的一项RCT结果显示,低血糖负荷饮食对血浆中的部分代谢及炎症指标表现出有益的影响。
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Plasma metabolomics profiles suggest beneficial effects of a low–glycemic load dietary pattern on inflammation and energy metabolism

血浆代谢组学揭示低血糖负荷饮食模式对炎症和能量代谢的有益效果

10.1093/ajcn/nqz169

2019-08-20, Article

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Background: Low–glycemic load dietary patterns, characterized by consumption of whole grains, legumes, fruits, and vegetables, are associated with reduced risk of several chronic diseases.
Methods: Using samples from a randomized, controlled, crossover feeding trial, we evaluated the effects on metabolic profiles of a low-glycemic whole-grain dietary pattern (WG) compared with a dietary pattern high in refined grains and added sugars (RG) for 28 d. LC-MS-based targeted metabolomics analysis was performed on fasting plasma samples from 80 healthy participants (n = 40 men, n = 40 women) aged 18–45 y. Linear mixed models were used to evaluate differences in response between diets for individual metabolites. Kyoto Encyclopedia of Genes and Genomes (KEGG)–defined pathways and 2 novel data-driven analyses were conducted to consider differences at the pathway level.
Results: There were 121 metabolites with detectable signal in >98% of all plasma samples. Eighteen metabolites were significantly different between diets at day 28 [false discovery rate (FDR) < 0.05]. Inositol, hydroxyphenylpyruvate, citrulline, ornithine, 13-hydroxyoctadecadienoic acid, glutamine, and oxaloacetate were higher after the WG diet than after the RG diet, whereas melatonin, betaine, creatine, acetylcholine, aspartate, hydroxyproline, methylhistidine, tryptophan, cystamine, carnitine, and trimethylamine were lower. Analyses using KEGG-defined pathways revealed statistically significant differences in tryptophan metabolism between diets, with kynurenine and melatonin positively associated with serum C-reactive protein concentrations. Novel data-driven methods at the metabolite and network levels found correlations among metabolites involved in branched-chain amino acid (BCAA) degradation, trimethylamine-N-oxide production, and β oxidation of fatty acids (FDR < 0.1) that differed between diets, with more favorable metabolic profiles detected after the WG diet. Higher BCAAs and trimethylamine were positively associated with homeostasis model assessment-insulin resistance.
Conclusions: These exploratory metabolomics results support beneficial effects of a low–glycemic load dietary pattern characterized by whole grains, legumes, fruits, and vegetables, compared with a diet high in refined grains and added sugars on inflammation and energy metabolism pathways. This trial was registered at clinicaltrials.gov as NCT00622661.

First Authors:
Sandi L Navarro

Correspondence Authors:
Sandi L Navarro

All Authors:
Sandi L Navarro,Aliasghar Tarkhan,Ali Shojaie,Timothy W Randolph,Haiwei Gu,Danijel Djukovic,Katie J Osterbauer,Meredith A Hullar,Mario Kratz,Marian L Neuhouser,Paul D Lampe,Daniel Raftery,Johanna W Lampe

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