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\title{Science AMA Series: We are David Zeevi and Tal Korem, graduate students
at the Weizmann Institute of Science, and authors of a recent study
which showed that people respond differently to the same food}



\author[1]{Zeevi_and_Korem }%
\author[1]{r/Science AMAs}%
\affil[1]{Affiliation not available}%


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  \date{April 24, 2026}


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\begin{abstract}
Hi Reddit! We're David Zeevi and Tal Korem, graduate students working on
personalizing nutritional recommendations by prediction of postprandial
glycemic responses. AUA! Obesity and diabetes are practically pandemics;
but the dietary recommendations aimed to deal with these conditions are
pretty much uniform across all people. Does this make sense? Are people
that similar? In our research, we chose to focus on one quantification
of the human response to food - the postprandial glycemic response
(PPGR) When we digest our food, carbohydrates are broken down to simple
sugars, and these are absorbed into the bloodstream, causing an increase
in blood glucose levels, which later return to normal, usually with the
help of insulin. That same PPGR is linked to obesity, diabetes risk and
management (people with the disease try to lower their PPGRs),
cardiovascular disease, and many other ailments. But it has an amazing
added value - it allows us to immediately measure a response to every
food eaten. So instead of prescribing a diet and waiting for months to
see how it worked, we can test individual meals and analyze a person's
response to them immediately. In our study (video abstract), we profiled
800 people, and found out that they respond very differently to
identical meals, which raises the question of effectivity in
non-personalized dietary recommendations. We then showed that many
personal factors associated with this difference in response:
anthropometric measurements (height, weight, etc.); blood test results;
and also the composition and function of the microbiome. What we did
next was to integrate all of these personal factors and more, as well as
what the person actually ate, in terms of fat, protein, etc., into a
prediction algorithm that could accurately predict PPGRs to unseen
meals. And then finally, we performed a diet intervention study, in
which we prescribed subjects with personally tailored diets created with
our predictor, and demonstrated that they can reduce PPGRs in a clinical
setting. About us - we're both graduate students at the Weizmann
Institute of Science, Israel. We're interested in the link between
nutrition, microbiome, and glycemic control. Aside from this project, we
are also developing methods for microbiome analysis. We'll be back on
November 23rd, at 1PM ET (10 am PT, 6 pm UTC) to answer your questions!
EDIT: Thanks so much to everyone who participated and asked questions.
We had a great time going over your clever insights and doing our best
to answer them! We did our best to answer as many as we could. Special
thanks to Surf\_Science for the initial invitation and for moderating
this session. We look forward to bringing you new and exciting research
in the future!%
\end{abstract}%



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