Personalized Nutrition by Prediction of Glycemic Responses

Personalized Nutrition by Prediction of Glycemic Responses


When we eat, the carbohydrates from the food
are broken down to simple sugars which are then absorbed from our intestine
into the bloodstream. Blood sugar levels are a key factor that affects the pathogenesis of diseases such as diabetes and obesity. Diets aimed at controlling blood glucose levels
are often similar, even for different people. But what if we told you that these very common diets,
aimed at maintaining stable blood sugar levels may, in some people, achieve the exact opposite? People are different in many ways for example, in their genetic makeup, in their lifestyle, and also in their microbiomes. The microbiome is a huge ecosystem
of trillions of bacteria living inside our body with more than 100 times the number of genes contained in the human genome. The microbiome is influenced by what we eat,
and in turn affects our response to food. And as the microbiome differs greatly
from one person to another, it can also affect the blood sugar response to food. For the past few years,
scientists at the Weizmann Institute have studied the factors underlying variations in
post-meal blood sugar responses They collected health and lifestyle data
from 800 volunteers, who were connected to a device that monitored their blood sugar level every 5 minutes for an entire week. The participants also used a mobile App to document what and when they ate exercised, slept and… so on Stool samples were collected in order to analyze the composition and activity of their microbiomes The scientists discovered that when different people ate identical foods,
they often reacted in a very different way. For example, the blood sugar level of some people rose more significantly after eating sushi
than after eating ice cream. The scientists were able to integrate all of the data they collected into an algorithm that successfully predicted the blood sugar response to the meals of the 800 participants. The same algorithm achieved similar accuracy when predicting the sugar responses of 100 new participants. The scientists also showed how the algorithm
could be used to prescribe personalized diets – a “good” diet that lowers post-meal sugar response,
and a “bad” diet that raises sugar responses. Interestingly, some foods that appeared
on the “good” diet of one person appeared on the “bad” diet of another. Let’s hear what the researchers themselves have to say. If I highlight the key contributions of our work I would say that the first is in highlighting the need for personalized nutrition which we demonstrate by showing that the blood sugar response of different people to identical meals can be hugely different and as soon as we saw this data we realized that general dietary recommendations, given to the entire population, may have limited efficacy The second, is in then measuring for every individual in our nearly 1000 people cohort a very comprehensive profile that includes their medical background, questionnaires, physical activity, blood tests and gut microbiome function and composition and then integrating this data
into a computational algorithm that could successfully predict the personalized blood glucose response of people to arbitrary meals and then finally, in showing that applying this algorithm to design personally tailored
dietary interventions in individuals could significantly lower their
blood sugar response to food and that was accompanied by
consistent alterations to the gut microbiome We know that nutrition is a very important risk factor for human metabolic disease, and especially to the obesity and diabetes epidemics that are affecting the lives of
close to half of the world’s population In this work, we link nutrition, in a personalized manner, to human risk to develop elevated blood sugar levels and their many complications As scientists, we often deal with very basic questions but in this work we are very happy to also introduce a potential, that if further developed, would allow to benefit the health of
millions across the world. This research marks an important step towards personalized nutrition by predicting
post-meal blood glucose responses. The scientists hope that this approach will help
to achieve a healthier lifestyle and prevent metabolic disease worldwide.

Daniel Yohans

15 thoughts on “Personalized Nutrition by Prediction of Glycemic Responses

  1. po1e says:

    very interesting research. should be really useful for the most of practicioners

  2. Roger Rutschman says:

    I wish this was available to the public

  3. mfbe73 says:

    sounds like understanding the microbiome better is the key here. then if we can influence it maybe we can broaden diet options.

  4. mfbe73 says:

    sounds like understanding the microbiome better is the key here. then if we can influence it maybe we can broaden diet options.

  5. Antiagingworkout says:

    These researchers need to connect with William Wolcott of Health Excel and the Metabolic Typing diet. William Wolcott has been providing personalized nutrition for over 30 years, by determining whether the oxidative system or the ANS is dominant in controlling digestion, and providing the appropriate macronutrient ratios and food lists for individuals. The root of metabolic typing comes from venous pH. If these 2 systems were combined – WOW! Change the world stuff!

  6. joel gomez says:

    when will this be available

  7. Seun.dapolyna Babs says:

    is the dataset available publicly ? if yes, could you please share?

  8. tradeeagle says:

    so when does a practical application of the findings become available..by now these findings are years old ….. does this make the glycemic index charts of foods obsolete ??

  9. Warren Flood says:

    Excellent way of presenting the major findings a very significant research paper in a way that most of the public will understand – Great work! Hope to see some updates in the near future.

  10. Vi Bn says:

    This goes nowhere

  11. John Snow says:

    This is great. Finally something that is of practical usefulness. It would make a lof of nutrition gurus unemployed. Hope you can productify this. You will have a lot of customers. Good luck!

  12. Severiano Cuellar says:

    0:47 is what happens to me when I eat a baguette. Seems baguette is kryptonite for my microbiome. Take a look here: https://www.facebook.com/1041284447/posts/10216847139704399?s=1041284447&v=i&sfns=mo

  13. Julian Choque says:

    i think you approach is dicovering new ground on nutrition, but arent you forgetting that health must be taken as a whole,?….. if so i think the options are there to make three groups, one omnivores, two carnivores and three vegans…..

  14. Khoa Quoc says:

    We are still waiting 🙁

  15. Keith Hill says:

    I wonder if there is a study on the effect that distracting and unnecessary "music" has on annoying people. Note to internet: enough with the "music" already.

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