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个性化餐后血糖反应靶向饮食与地中海饮食在糖尿病前期血糖控制中的比较。

Personalized Postprandial Glucose Response-Targeting Diet Versus Mediterranean Diet for Glycemic Control in Prediabetes.

机构信息

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.

出版信息

Diabetes Care. 2021 Sep;44(9):1980-1991. doi: 10.2337/dc21-0162. Epub 2021 Jul 23.

Abstract

OBJECTIVE

To compare the clinical effects of a personalized postprandial-targeting (PPT) diet versus a Mediterranean (MED) diet on glycemic control and metabolic health in prediabetes.

RESEARCH DESIGN AND METHODS

We randomly assigned adults with prediabetes ( = 225) to follow a MED diet or a PPT diet for a 6-month dietary intervention and additional 6-month follow-up. The PPT diet relies on a machine learning algorithm that integrates clinical and microbiome features to predict personal postprandial glucose responses. During the intervention, all participants were connected to continuous glucose monitoring (CGM) and self-reported dietary intake using a smartphone application.

RESULTS

Among 225 participants randomized (58.7% women, mean ± SD age 50 ± 7 years, BMI 31.3 ± 5.8 kg/m, HbA, 5.9 ± 0.2% [41 ± 2.4 mmol/mol], fasting plasma glucose 114 ± 12 mg/dL [6.33 ± 0.67 mmol/L]), 200 (89%) completed the 6-month intervention. A total of 177 participants also contributed 12-month follow-up data. Both interventions reduced the daily time with glucose levels >140 mg/dL (7.8 mmol/L) and HbA levels, but reductions were significantly greater in PPT compared with MED. The mean 6-month change in "time above 140" was -0.3 ± 0.8 h/day and -1.3 ± 1.5 h/day for MED and PPT, respectively (95% CI between-group difference -1.29 to -0.66, < 0.001). The mean 6-month change in HbA was -0.08 ± 0.19% (-0.9 ± 2.1 mmol/mol) and -0.16 ± 0.24% (-1.7 ± 2.6 mmol/mol) for MED and PPT, respectively (95% CI between-group difference -0.14 to -0.02, = 0.007). The significant between-group differences were maintained at 12-month follow-up. No significant differences were noted between the groups in a CGM-measured oral glucose tolerance test.

CONCLUSIONS

In this clinical trial in prediabetes, a PPT diet improved glycemic control significantly more than a MED diet as measured by daily time of glucose levels >140 mg/dL (7.8 mmol/L) and HbA. These findings may have implications for dietary advice in clinical practice.

摘要

目的

比较基于机器学习的个性化餐后靶向(PPT)饮食与地中海饮食(MED)对糖尿病前期患者血糖控制和代谢健康的临床疗效。

研究设计和方法

我们将 225 例糖尿病前期患者随机分为 MED 饮食组或 PPT 饮食组,进行为期 6 个月的饮食干预和随后 6 个月的随访。PPT 饮食依赖于一种机器学习算法,该算法整合了临床和微生物组特征,以预测个人的餐后血糖反应。在干预期间,所有参与者都通过智能手机应用程序接受连续血糖监测(CGM)和自我报告的饮食摄入。

结果

在 225 名随机分配的参与者中(58.7%为女性,平均年龄为 50 ± 7 岁,BMI 为 31.3 ± 5.8 kg/m,HbA 为 5.9 ± 0.2%[41 ± 2.4 mmol/mol],空腹血糖为 114 ± 12 mg/dL[6.33 ± 0.67 mmol/L]),有 200 名(89%)完成了 6 个月的干预。共有 177 名参与者还提供了 12 个月的随访数据。两种干预均降低了每日血糖水平>140 mg/dL(7.8 mmol/L)和 HbA 的时间,但 PPT 组的降低幅度明显大于 MED 组。6 个月时,“血糖>140”的平均变化分别为 MED 组-0.3 ± 0.8 小时/天和 PPT 组-1.3 ± 1.5 小时/天(95%CI 组间差值为-1.29 至-0.66,<0.001)。6 个月时,HbA 的平均变化分别为 MED 组-0.08 ± 0.19%(-0.9 ± 2.1 mmol/mol)和 PPT 组-0.16 ± 0.24%(-1.7 ± 2.6 mmol/mol)(95%CI 组间差值为-0.14 至-0.02,=0.007)。在 12 个月的随访中,组间差异仍具有统计学意义。CGM 测量的口服糖耐量试验中两组间无显著差异。

结论

在这项糖尿病前期的临床试验中,与 MED 饮食相比,PPT 饮食在通过每日血糖水平>140 mg/dL(7.8 mmol/L)和 HbA 来改善血糖控制方面有显著改善。这些发现可能对临床实践中的饮食建议有影响。

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