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The discussions showcase a variety of viewpoints on the publication, such as skepticism expressed by some users questioning its novelty and its contribution to existing knowledge. For instance, one user asked, 'how is this telling us anything new that we haven't already seen in this study?' This indicates a critical engagement with the content. Others highlighted the personalized nature of nutrition, showing excitement with phrases like 'game changer' and emphasizing the complexities of individual responses to foods, referencing multiple studies. The tone ranges from enthusiastic to critical, demonstrating a multifaceted engagement with the article’s findings.
While there are some skeptical remarks, most discussions affirm the core findings of the publication regarding personalized nutrition.
Posts reflect a high level of curiosity, with users eager to learn more about how individual responses to food can vary.
Many discussions delve into the intricacies of the research methods, implications for diet and health, and the importance of personalized approaches.
Users perceive the study as having significant implications for nutrition science and public health.
@AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition by prediction of glycemic responses: garbage in → garbage out" https://t.co/daio8AQout
#FOIM19 @segal_eran speaks with @EricTopol at #FoIM about innovative #AI #Diet using continuous #glucose monitoring to predict optimal #personalized #nutrition Truly makes you realize the importance of individualizing diet and why generic diets fail... https://t.co/G5OVKFRKT2 https://t.co/ZMykNLhJbi
Imagine @neuralink but for the the body. 2030 scenario: Use machine learning to answer “what should I eat?” based on microbiome composition, previous food intake, blood parameters and optimise for short-term performance and long-term health. Paper: https://t.co/RwEnpZb7tT https://t.co/EIDPUgJ3Ru
Link to new GluFormer preprint: https://t.co/GncU2nFPsR Link to 2015 study: https://t.co/XQAcf9XQVu I wonder if we should all be using CGMs...
The way your body reacts to food and exercise is quite unique and depends on factors like genetics, activity levels, biological age, sleep quality, stress levels and many other factors. https://t.co/fqoXbbukH2
There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition by prediction of glycemic responses: garbage in → garbage out" ajcn.nutrition.org/article/S000...
Imagine two people eating the same banana. One has a mild blood sugar peak, the other a spike. This video explores how personalized nutrition based on continuous glucose monitoring is transforming health care by…
Episode 3 Part 1 discusses metabolic health, focusing on pharmaceuticals, nutrition, and the microbiome. Dr. Alex Nataros highlights the significance of personalized dietary approaches in managing blood glucose levels…
Discover how to maintain stable glycemia through dietary choices. Key strategies include combining carbohydrates with proteins and fats, selecting low glycemic index foods, adding dietary fiber, and eating regular…
This video explains what chronotherapy is, its importance in aligning biological rhythms, and how social jet lag impacts health. It covers the influence of sleep timing on hormonal, metabolic, and cancer-related factors…
@nicknorwitz @hubermanlab I haven't watched the episode yet, but how I'd this telling us anything new that we haven't already seen in this study? https://t.co/Ttmx1V468Y
https://t.co/PRG9AYUkoE
@bryan_johnson @amruthapotnuru may be not... https://t.co/AAjwAnR4C0
https://t.co/Gw3t29lylm 同じ炭水化物量のパン vs ブドウ糖、どっちが血糖値を上げる？なんと４割くらいの人は、ブドウ糖よりパン、パン＋バター のほうが血糖値上がる。バナナvsクッキーでも、人によって大きく違う。個人差がとても大きい。2015年のCell。引用2,000回以上なのに知らなかった…
Personalized nutrition by prediction of glycemic responses: garbage in → garbage out FIGURE 1. Probability of incorrectly ranking the mean glucose increment elicited by 2 foods measured by CGM, when one food has a glycemic response 25% less than the other.
Just published in The American Journal of Clinical Nutrition: "Personalized nutrition by prediction of glycemic responses: garbage in → garbage out". https://t.co/u1Ir8J40o4
Accompanying Editorial Personalized nutrition by prediction of glycemic responses: garbage in → garbage out https://t.co/c8MbaPRlPL
RT @KevinH_PhD: @AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition…
RT @KevinH_PhD: @AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition…
RT @KevinH_PhD: @AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition…
RT @KevinH_PhD: @AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition…
RT @KevinH_PhD: @AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition…
RT @KevinH_PhD: @AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition…
RT @KevinH_PhD: @AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition…
RT @KevinH_PhD: @AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition…
There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition by prediction of glycemic responses: garbage in → garbage out" ajcn.nutrition.org/article/S000...
@AaronHengist @AJCNutrition There's also a nice commentary on our paper by Thomas Wolever entitled "Personalized nutrition by prediction of glycemic responses: garbage in → garbage out" https://t.co/daio8AQout
RT @ElliotHershberg: Link to new GluFormer preprint: https://t.co/GncU2nFPsR Link to 2015 study: https://t.co/XQAcf9XQVu I wonder if we sh…
RT @ElliotHershberg: Link to new GluFormer preprint: https://t.co/GncU2nFPsR Link to 2015 study: https://t.co/XQAcf9XQVu I wonder if we sh…
RT @ElliotHershberg: Link to new GluFormer preprint: https://t.co/GncU2nFPsR Link to 2015 study: https://t.co/XQAcf9XQVu I wonder if we sh…
RT @ElliotHershberg: Link to new GluFormer preprint: https://t.co/GncU2nFPsR Link to 2015 study: https://t.co/XQAcf9XQVu I wonder if we sh…
Link to new GluFormer preprint: https://t.co/GncU2nFPsR Link to 2015 study: https://t.co/XQAcf9XQVu I wonder if we should all be using CGMs...
@BowTiedOx @Votefreedom35 https://t.co/hwf82SgQUQ Here’s one I found particularly interesting AI is better at predicting your post prandial glucose response (PPGR) than your own previous data on PPGR from just a week ago..
@FZMarques @MicrobiomDigest @phylogeo @cibiocm @MicrobiomeVIF @microbiome_net @LeviWaldron1 @hutlab https://t.co/nrS6OGQNfm something like this?
@WardWriting @DrLeanneRedman @markml0528 Define "response" as the postprandial analyte curve through blood collection after giving a specific meal. Test out the variation in curves between individuals prior to ML. The Zeevi et al. paper is a good example to see how good example. https://t.co/285jhPjqda
@thoroughlyconf1 @MichaelMindrum @MohammedAlo @ifixhearts .Let me bring you up to date with one paper. https://t.co/EKYbzoksrV
「朝食を抜くのはちょっと・・・朝食を抜く以外に血糖値コントロールできる食事は何！？」という方がいましたら、 ・糖質がない食事 ・低GI値の食事 となりますが、正直なところ人によって違うので、自力で「自分に合う食事」を探し出すしかないです。 →根拠はこちら：https://t.co/wd8vtYQM7c
https://t.co/s1OxC0jtrO study since ik some of yall well get on my ass
@B_Holmer Even better than rice or potatoes. “the average PPGR to rice and potatoes was relatively high, whereas that for ice cream, beer, and dark chocolate was relatively low, in agreement with published data” https://t.co/kYNOBf8zsr
if you think carbs or sugar are inherently bad, read these studies: 1. Zeevi, D., et al., Personalized Nutrition by Prediction of Glycemic Responses. Cell, 2015. 163(5): p. 1079-94. 2. Gude, F., et al., Glycemic Variability and Its Association With
@CarmenAgustin ¿Conoces este paper? Parece que la variabilidad interpersonal del índice glucémico es muy alta cuando ingieren los mismos alimentos. https://t.co/4jBrJo3ob5
Personalized Nutrition by Prediction of Glycemic Responses https://t.co/4nV4bRDJQm
@CressDietetics @realDaveFeldman Will test it out. TBD. My personal guess is it’s going to be more specific to kale as compared to day spinach. https://t.co/CLF93PJiaE
@draparente @singareddynm @nealkhosla I brought up one of the major papers from @segal_eran on personalized glycemic prediction: https://t.co/XQAcf9FHHm
In the 1st study (https://t.co/kd498i3XEr), we followed work led by @DaveZeevi and @tkorem (https://t.co/3fwCbAKAAq) showing that carbohydrate content alone is not a good predictor of PPGR in healthy individuals & a significant variability in postprandial glycemic responses 2/n
RT @MarkGerstein: Represents an update to "Personalized Nutrition by Prediction of Glycemic Responses" from the @segal_eran lab (https://t.…
Represents an update to "Personalized Nutrition by Prediction of Glycemic Responses" from the @segal_eran lab (https://t.co/iGJ5DIwf5I)
@AbdTahrani Bananas aren't too bad for most people, Zeevi study. But all comes down to individualised approach, we do live in CGM era for those with CGM. https://t.co/Wobs3vs2Xx https://t.co/SW4zhNZTaA
RT @alexaCastan: Esto literal es nutrición personalizada.
@Dr__Guess @GardnerPhD The machine learning algorithm integrates clinical and microbiome features to predict "personal" postprandial glucose. Maybe it doesnt recognize the role of dietary protein, but it includes the microbiome
@McPuky @werkstoffotter @mmusizieren Dazu folgende Studie zum Thema glykämischer Index. https://t.co/7yhxVXuiYT
@CharlesMBrenner What do you think of this study? https://t.co/Ttmx1V3yjq
https://t.co/eBrPvOBtkJ
@NeilFazel @CrystalBull @PeterAttiaMD A good rule of thumb but I agree w/ Peter that ideally at least a month’s worth of in-vivo personal lifestyle CGM data helps test meal glycemic response hypotheses & work out idiosyncrasies. Eg: Personalized Nutrition by Prediction of Glycemic Responses https://t.co/051fTj12QP
The way your body reacts to food and exercise is quite unique and depends on factors like genetics, activity levels, biological age, sleep quality, stress levels and many other factors. https://t.co/fqoXbbukH2
Personalized Nutrition by Prediction of Glycemic Responses https://t.co/ymxSLfGFMW
RT @ehendriksmd: Highly variable glucose responses even when the same standardized meals are consumed. Seeing each patient as a unique indi…
Highly variable glucose responses even when the same standardized meals are consumed. Seeing each patient as a unique individual goes a long way in creating #health. https://t.co/GjpAsV5OgS
In a 2015 study, researchers followed 800 adults tracking glucose with CGMs for a week. Even when people ate identical foods, they found that some people had substantial blood sugar spikes while others did not. Read the study here ➡️ https://t.co/RU7SOkVD76 https://t.co/Lh6luZfEeq
@MMMalign I can't tell what else they ate, how their stress levels were, how much they went outside and gut sun, or what they had prexisting in their gut. Did they eat butter with the bread? I think the Weizmann trial was way more comprehensive. https://t.co/74sHT0r9vY
@bettadazed @Ot7isthedeal @Breiannis94 @Roa_Writes @fastic ... person not the food if you want to figure out what's healthy for this person. The same with diets, there's just no "one size fits all" and not sorry for the pun, it came along and I let it in
@wardencn @zerofasting @Levels "High interpersonal variability in post-meal glucose observed in an 800-person cohort" https://t.co/vqVnh0NQEY
@nick_krontiris Re: personalized medicine (let’s pretend for a moment no issues w/threshold effect, etc) it reminds me of the @WeizmannScience classic https://t.co/44aeKFnAhP We should neither throw out popl. data nor our own idiosyncrasies- personalized medicine compels wise balanced appraisal
RT @alexaCastan: Esto literal es nutrición personalizada.
RT @alexaCastan: Esto literal es nutrición personalizada.
RT @alexaCastan: Esto literal es nutrición personalizada.
Esto literal es nutrición personalizada.
Personalized Nutrition by Prediction of Glycemic Responses https://t.co/qCuy8zjCVd vía @YouTube
@NutriRebel Muy bueno. Yo justo ayer lei este similar de 2015 https://t.co/LKCKddjGHv
Large postprandial differences between individuals in plasma lipid profiles from the same meal, with the microbiome as a strong determinant. First glucose (https://t.co/LUsT4dDCjT), then SCFAs (https://t.co/G7YqA59VOB), now lipids. https://t.co/OztuhTlHgH
RT @AgnesAyton: @AbdTahrani @hazlehurst_j @Dr__Guess We need to take into account the individual metabolic differences. Multiple factors, i…
@AbdTahrani @hazlehurst_j @Dr__Guess We need to take into account the individual metabolic differences. Multiple factors, including age, level of obesity, microbiome. https://t.co/ijXGkyVIXe
One #Diet diet clearly doesn't fit all. Movie first, then article. https://t.co/UyI3gT8Gty https://t.co/X1nC03ntuk
RT @MatPich: Personalized Nutrition by Prediction of Glycemic Responses https://t.co/BcBx2008U0
Personalized Nutrition by Prediction of Glycemic Responses https://t.co/BcBx2008U0
Personalized Nutrition by Prediction of Glycemic Responses: Cell https://t.co/zflLvxGmbD
"...you can eat a lot without spiking blood sugar. No so with bread or cereal" even then, there's still nuance https://t.co/b2mWDl55xj… see participants 468 & 445 https://t.co/pJEJWuoUg1 https://t.co/wpIbOi9xYw
@cbulik @topherhuebel @danasma70194694 @DiFel1ceantonio @KevinH_PhD 9. @DaveZeevi @segal_eran & @EranElinav showed that individual metablic responses to common foods differ. https://t.co/toxVNaLwBI
Personalized Nutrition by Prediction of Glycemic Responses: Cell https://t.co/4PihfVw4XN
https://t.co/f6gjaose4V
@suchisaria https://t.co/KnnErbMDs0
@matt_ed2465 @JeffMindrup @CarnivoreIs @fuelled_by_keto @ProfTimNoakes @TheNoakesF The study (https://t.co/lIawaSa3PA) looked at blood glucose response to carb intake but many scientists advise testing your actual blood glucose response. Those tests are not 100% accurate.
We are doing a banana test with one of our groups in the Clear. program. This participant shows a clear spike in blood glucose, after eating a banana, while others don't. This test is based on the scientific study Personalized Nutrition by Prediction of Glycemic Responses (2015) https://t.co/TzXvI32uL8
Personalized Nutrition by Prediction of Glycemic Responses https://t.co/cySORpjxEX
RT @Marco_Cardinale: Always a good read: Personalized Nutrition by Prediction of Glycemic Responses https://t.co/RjMdNr8WgD
Always a good read: Personalized Nutrition by Prediction of Glycemic Responses https://t.co/RjMdNr8WgD
Imagine @neuralink but for the the body. 2030 scenario: Use machine learning to answer “what should I eat?” based on microbiome composition, previous food intake, blood parameters and optimise for short-term performance and long-term health. Paper: https://t.co/RwEnpZb7tT https://t.co/EIDPUgJ3Ru
Personalized Nutrition by Prediction of Glycemic Responses: Cell https://t.co/2sgUlim31R #AI
Personalized Nutrition by Prediction of Glycemic Responses https://t.co/Zg99ulzDQc
RT @drb_well: #FOIM19 @segal_eran speaks with @EricTopol at #FoIM about innovative #AI #Diet using continuous #glucose monitoring to predic…
RT @drb_well: #FOIM19 @segal_eran speaks with @EricTopol at #FoIM about innovative #AI #Diet using continuous #glucose monitoring to predic…
#FOIM19 @segal_eran speaks with @EricTopol at #FoIM about innovative #AI #Diet using continuous #glucose monitoring to predict optimal #personalized #nutrition Truly makes you realize the importance of individualizing diet and why generic diets fail... https://t.co/G5OVKFRKT2 https://t.co/ZMykNLhJbi
Personalized Nutrition by Prediction of Glycemic Responses: Cell https://t.co/a1vLGuQ8Ny
Aquí el artículo al que hace referencia el artículo de NYTimes arriba mencionado: Personalized Nutrition by Prediction of Glycemic Responses: Cell https://t.co/NDHJkL6AUv
More proof everyone reacts differently to foods and what works for them, worth reposting: Personalized Nutrition by Prediction of Glycemic Responses https://t.co/TwYDqUIQBA
Many Greek fake news websites are currently sharing an article titled "SCIENCE FINDS FRENCH FRIES HEALTHIER THAN SALAD" while citing this study "Personalized Nutrition by Prediction of Glycemic Responses. CLEARLY THE CASE https://t.co/3AVVZs75BY
Personalized Nutrition by Prediction of Glycemic Responses https://t.co/pG4pJplIZH
@EricTopol @JAMANetworkOpen @heidi_nelson @daytwohealth @MayoClinicCIM This is an excellent (albeit from 2015) related PPGR paper - https://t.co/QGofK8IXus
Personalized Nutrition by Prediction of Glycemic Responses. “Together, our results suggest that personalized diets may successfully modify elevated postprandial blood glucose and its metabolic consequences.” https://t.co/2K5Hm8dEUJ
Me ha gustado un vídeo de @YouTube (https://t.co/c9EystTbVi - Personalized Nutrition by Prediction of Glycemic Responses).
RT @upyrbike: @evahorvathpapp @lowcarbGP @DietDoctor1 @PHCukorg @CampbellMurdoch @arjunpanesar Hi Eva, I never answered your question, nor…
@evahorvathpapp @lowcarbGP @DietDoctor1 @PHCukorg @CampbellMurdoch @arjunpanesar Hi Eva, I never answered your question, nor does this paper, but it does expand the question further (ie answer it even less
@LilyNicholsRDN @CakeNutrition Thanks Lily! Great write up! I actually read Hall et al paper and this 2015 paper that had similar implications... https://t.co/HxJTDKytYD Wondering more about any planned or in-progress intervention studies using CGM as an outcome
#Personalized #Nutrition by Prediction of Glycemic Responses http://www.cell.com/cell/fulltext/S0092-8674(15)01481-6 @segal_eran @EranElinav @WeizmannScience