Wu Yue, Ehlert Ben, Metwally Ahmed A, Perelman Dalia, Park Heyjun, Brooks Andrew Wallace, Abbasi Fahim, Michael Basil, Celli Alessandra, Bejikian Caroline, Ayhan Ekrem, Lu Yingzhou, Lancaster Samuel M, Hornburg Daniel, Ramirez Lucia, Bogumil David, Pollock Sarah, Wong Frank, Bradley Denver, Gutjahr Georg, Rangan Ekanath Srihari, Wang Tao, McGuire Lettie, Venkat Rangan P, Ræder Helge, Shipony Zohar, Lipson Doron, McLaughlin Tracey, Snyder Michael P
Department of Genetics, Stanford University, Stanford, CA, USA.
Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.
Nat Med. 2025 Jun 4. doi: 10.1038/s41591-025-03719-2.
Elevated postprandial glycemic responses (PPGRs) are associated with type 2 diabetes and cardiovascular disease. PPGRs to the same foods have been shown to vary between individuals, but systematic characterization of the underlying physiologic and molecular basis is lacking. We measured PPGRs using continuous glucose monitoring in 55 well-phenotyped participants challenged with seven different standard carbohydrate meals administered in replicate. We also examined whether preloading a rice meal with fiber, protein or fat ('mitigators') altered PPGRs. We performed gold-standard metabolic tests and multi-omics profiling to examine the physiologic and molecular basis for interindividual PPGR differences. Overall, rice was the most glucose-elevating carbohydrate meal, but there was considerable interindividual variability. Individuals with the highest PPGR to potatoes (potato-spikers) were more insulin resistant and had lower beta cell function, whereas grape-spikers were more insulin sensitive. Rice-spikers were more likely to be Asian individuals, and bread-spikers had higher blood pressure. Mitigators were less effective in reducing PPGRs in insulin-resistant as compared to insulin-sensitive participants. Multi-omics signatures of PPGR and metabolic phenotypes were discovered, including insulin-resistance-associated triglycerides, hypertension-associated metabolites and PPGR-associated microbiome pathways. These results demonstrate interindividual variability in PPGRs to carbohydrate meals and mitigators and their association with metabolic and molecular profiles.
餐后血糖反应升高(PPGRs)与2型糖尿病和心血管疾病相关。已表明,对相同食物的PPGRs在个体之间存在差异,但缺乏对潜在生理和分子基础的系统表征。我们使用连续血糖监测,对55名经过充分表型分析的参与者进行了测量,这些参与者接受了七种不同标准碳水化合物餐的重复挑战。我们还研究了在用纤维、蛋白质或脂肪(“缓解剂”)预加载米饭后是否会改变PPGRs。我们进行了金标准代谢测试和多组学分析,以研究个体间PPGR差异的生理和分子基础。总体而言,米饭是升糖作用最强的碳水化合物餐,但个体间存在相当大的变异性。对土豆餐后血糖反应最高的个体(土豆峰值者)胰岛素抵抗更强,β细胞功能更低,而葡萄峰值者胰岛素敏感性更高。米饭峰值者更可能是亚洲个体,面包峰值者血压更高。与胰岛素敏感的参与者相比,缓解剂在降低胰岛素抵抗参与者的PPGRs方面效果较差。发现了PPGR和代谢表型的多组学特征,包括与胰岛素抵抗相关的甘油三酯、与高血压相关的代谢物以及与PPGR相关的微生物群途径。这些结果表明,碳水化合物餐和缓解剂的PPGRs存在个体间变异性,以及它们与代谢和分子特征的关联。
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