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2015 2
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2020 0
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Personalized Nutrition by Prediction of Glycemic Responses.
Zeevi D, et al. Cell 2015 - Clinical Trial. PMID 26590418 Free article.
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. ...Together, our results suggest that personalized diets may successfully modify elevated postprandial blood glucose and its metabolic consequences. ...
Here, we continuously monitored week-long glucose levels in an 800-person cohort, measured responses to 46,898 meals, and found high …
Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses.
Korem T, et al. Cell Metab 2017 - Clinical Trial. Among authors: Zeevi D. PMID 28591632 Free article.
The gut microbiota composition remained person specific throughout this trial and was generally resilient to the intervention. ...Together, we present marked personalization in both bread metabolism and the gut microbiome, suggesting that understanding dietary effects requires integration of person-specific factors....
The gut microbiota composition remained person specific throughout this trial and was generally resilient to the intervention. ...Tog …
Taking it Personally: Personalized Utilization of the Human Microbiome in Health and Disease.
Zmora N, et al. Cell Host Microbe 2016 - Review. Among authors: Zeevi D. PMID 26764593 Free article.
The genomic revolution enabled the clinical inclusion of an immense body of person-specific information to an extent that is revolutionizing medicine and science. ...Finally, we highlight how recent insights into personalized modulation of the microbiome, by nutritional and pre-, pro-, and post-biotic intervention, may lead to development of individualized approaches that may enable us to harness the microbiome as a central precision medicine target....
The genomic revolution enabled the clinical inclusion of an immense body of person-specific information to an extent that is revoluti …
Siri, What Should I Eat?
Jumpertz von Schwartzenberg R and Turnbaugh PJ. Cell 2015. PMID 26590412 Free article.
Zeevi et al. report that extensive monitoring of a human cohort for variations in dietary intake, lifestyle, host phenotype, and the gut microbiome has enabled the development of a machine-learning algorithm that accurately predicts the individual glycemic response to meals, providing an important first step toward personalized nutrition....
Zeevi et al. report that extensive monitoring of a human cohort for variations in dietary intake, lifestyle, host phenotype, and the
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