Personalized Nutrition by Prediction of Glycemic Responses

被引：1795

作者：

Zeevi, David ^{[1
,2
]}

Korem, Tal ^{[1
,2
]}

Zmora, Niv ^{[3
,4
,5
]}

Israeli, David ^{[6
,7
]}

Rothschild, Daphna ^{[1
,2
]}

Weinberger, Adina ^{[1
,2
]}

Ben-Yacov, Orly ^{[1
,2
]}

Lador, Dar ^{[1
,2
]}

Avnit-Sagi, Tali ^{[1
,2
]}

Lotan-Pompan, Maya ^{[1
,2
]}

Suez, Jotham ^{[3
]}

Mahdi, Jemal Ali ^{[3
]}

Matot, Elad ^{[1
,2
]}

Malka, Gal ^{[1
,2
]}

Kosower, Noa ^{[1
,2
]}

Rein, Michal ^{[1
,2
]}

Zilberman-Schapira, Gili ^{[3
]}

Dohnalova, Lenka ^{[3
]}

Pevsner-Fischer, Meirav ^{[3
]}

Bikovsky, Rony ^{[1
,2
]}

Halpern, Zamir ^{[5
,8
]}

Elinav, Eran ^{[3
]}

Segal, Eran ^{[1
,2
]}

机构：

[1] Weizmann Inst Sci, Dept Comp Sci & Appl Math, IL-7610001 Rehovot, Israel

[2] Weizmann Inst Sci, Dept Mol Cell Biol, IL-7610001 Rehovot, Israel

[3] Weizmann Inst Sci, Dept Immunol, IL-7610001 Rehovot, Israel

[4] Tel Aviv Sourasky Med Ctr, Internal Med Dept, IL-6423906 Tel Aviv, Israel

[5] Tel Aviv Univ, Sackler Fac Med, Tel Aviv Sourasky Med Ctr, Res Ctr Digest Tract & Liver Dis, IL-6423906 Tel Aviv, Israel

[6] Kfar Shaul Hosp, Jerusalem Ctr Mental Hlth, Day Care Unit, IL-9106000 Jerusalem, Israel

[7] Kfar Shaul Hosp, Jerusalem Ctr Mental Hlth, Lab Imaging & Brain Stimulat, IL-9106000 Jerusalem, Israel

[8] Tel Aviv Sourasky Med Ctr, Digest Ctr, IL-6423906 Tel Aviv, Israel

来源：

CELL | 2015年 / 163卷 / 05期

基金：

以色列科学基金会; 欧洲研究理事会;

关键词：

POSTPRANDIAL BLOOD-GLUCOSE; GUT MICROBIOME; METABOLIC SYNDROME; LOAD VALUES; INDEX; TOLERANCE; OBESITY; ASSOCIATION; METAGENOME; ACCURATE;

D O I：

10.1016/j.cell.2015.11.001

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Elevated postprandial blood glucose levels constitute a global epidemic and a major risk factor for prediabetes and type II diabetes, but existing dietary methods for controlling them have limited efficacy. Here, we continuously monitored week-long glucose levels in an 800-person cohort, measured responses to 46,898 meals, and found high variability in the response to identical meals, suggesting that universal dietary recommendations may have limited utility. We devised a machine-learning algorithm that integrates blood parameters, dietary habits, anthropometrics, physical activity, and gut microbiota measured in this cohort and showed that it accurately predicts personalized postprandial glycemic response to real-life meals. We validated these predictions in an independent 100-person cohort. Finally, a blinded randomized controlled dietary intervention based on this algorithm resulted in significantly lower postprandial responses and consistent alterations to gut microbiota configuration. Together, our results suggest that personalized diets may successfully modify elevated postprandial blood glucose and its metabolic consequences.

引用

页码：1079 / 1094

页数：16

共 57 条

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