A Fresh Look at the Glycemic Index
![wabmester](https://dakd0cjsv8wfa.cloudfront.net/images/photos/user/fb2e/0564/b4f5/9eb5/adf1/37ed/320c/120529245c201b4ad0dcfd0c7efa4c21fa41.jpg)
wabmester
Posts: 2,748 Member
I've seen this study on a few blogs now, so it might be of interest here.
Algorithm Creates Diets That Work for You
And the study:
Personalized Nutrition by Prediction of Glycemic Responses
In a nut shell, they found a lot of variation in glycemic response. But they found that they could predict that response based on several factors. The implication is that we'll soon be able to have a diet that is tailored to our metabolism!
If you believe that the main benefit of low carb is a tempering of the insulin response, then by restricting all carbs, we're simply using a shotgun approach. But it's possible that we might only need to restrict certain foods rather than all carbs.
My favorite graph in the paper is a comparison of two subjects fed cookies and bananas. One of them spiked on cookies but didn't spike on bananas, and the other had a completely opposite reaction.
Algorithm Creates Diets That Work for You
And the study:
Personalized Nutrition by Prediction of Glycemic Responses
In a nut shell, they found a lot of variation in glycemic response. But they found that they could predict that response based on several factors. The implication is that we'll soon be able to have a diet that is tailored to our metabolism!
If you believe that the main benefit of low carb is a tempering of the insulin response, then by restricting all carbs, we're simply using a shotgun approach. But it's possible that we might only need to restrict certain foods rather than all carbs.
My favorite graph in the paper is a comparison of two subjects fed cookies and bananas. One of them spiked on cookies but didn't spike on bananas, and the other had a completely opposite reaction.
![gr2.jpg](http://www.cell.com/cms/attachment/2040558719/2054122891/gr2.jpg)
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Replies
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Interesting and educational as always! But why do we have such different reactions I wonder?0
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Very interesting. Thanks. I guess we as individuals in the mean time can experiment with which carbs cause a response. I can certainly feel a spike after eating veggies even on a low carb diet. But not really fun bananas. Does anyone else here feel the difference?0
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@totaloblivia, that last "heat map" in the image 2H gives an idea of why we differ. For example, if you have high HDL, you have an improved glycemic response to everything except fructose. High triglycerides are associated with a worse glycemic response to all 4 of those test meals.
They looked at a bunch of factors, and none of them really stood out as THE factor, but combining them all into an algorithm gives them a pretty good predictor (R=0.7).
They also looked the effects of a "good" and "bad" diet on the microbiome. I think @DittoDan is trying to do some microbiome self-experimenting. There's a good summary here:
Bifidobacterium adolescentis, for which low levels were reported to be associated with greater weight loss (Santacruz et al., 2009), generally decrease in RA following the “good” diet and increase following the “bad” diet (Figure 6C,D). Similarly, TIIDM has been associated with low levels of Roseburia inulinivorans (Qin et al., 2012; Figure 6E), Eubacterium eligens (Karlsson et al., 2013), and Bacteroides vulgatus (Ridaura et al., 2013), and all these bacteria increase following the “good” diet and decrease following the “bad” diet (Figure 6C). The Bacteroidetes phylum, for which low levels associate with obesity and high fasting glucose (Turnbaugh et al., 2009), increases following the “good” diet and decreases following the “bad” diet (Figure 6C). Low levels of Anaerostipes associate with improved glucose tolerance and reduced plasma triglyceride levels in mice (Everard et al., 2011) and indeed these bacteria decrease following the “good” diet and increase following the “bad” diet (Figure 6C). Finally, low levels of Alistipes putredinis associate with obesity (Ridaura et al., 2013) and this bacteria increased following the “good” diet (Figure 6C).0 -
This was so interesting! I try to follow a slow carb diet for the most part, but I do a lot of tweaking. I've eaten this way for about 14 years now. So this really interested me.0
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Wow, interesting! I would love to get one tailor-made for me.0
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I know there's been some research on the impact of antibiotics on obesity. Results of what youve shown me seem to indicate that there is something going on there.0
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It is interesting for sure. Clearly we were not all dipped out of the same gene pool and ate out of the same pantry historical. I have read some on this subject of Glycemic Index by accident but since it did not apply in my case I never drilled down on the subject.
I did not use the shot gun method but rather the carpet bombing method by cutting out all grains and most all forms of sugars.
This thread shows why one person should not compare their results with those of another.0 -
@totaloblivia, that last "heat map" in the image 2H gives an idea of why we differ. For example, if you have high HDL, you have an improved glycemic response to everything except fructose. High triglycerides are associated with a worse glycemic response to all 4 of those test meals.
They looked at a bunch of factors, and none of them really stood out as THE factor, but combining them all into an algorithm gives them a pretty good predictor (R=0.7).
They also looked the effects of a "good" and "bad" diet on the microbiome. I think @DittoDan is trying to do some microbiome self-experimenting. There's a good summary here:
Bifidobacterium adolescentis, for which low levels were reported to be associated with greater weight loss (Santacruz et al., 2009), generally decrease in RA following the “good” diet and increase following the “bad” diet (Figure 6C,D). Similarly, TIIDM has been associated with low levels of Roseburia inulinivorans (Qin et al., 2012; Figure 6E), Eubacterium eligens (Karlsson et al., 2013), and Bacteroides vulgatus (Ridaura et al., 2013), and all these bacteria increase following the “good” diet and decrease following the “bad” diet (Figure 6C). The Bacteroidetes phylum, for which low levels associate with obesity and high fasting glucose (Turnbaugh et al., 2009), increases following the “good” diet and decreases following the “bad” diet (Figure 6C). Low levels of Anaerostipes associate with improved glucose tolerance and reduced plasma triglyceride levels in mice (Everard et al., 2011) and indeed these bacteria decrease following the “good” diet and increase following the “bad” diet (Figure 6C). Finally, low levels of Alistipes putredinis associate with obesity (Ridaura et al., 2013) and this bacteria increased following the “good” diet (Figure 6C).
Thanks @wabmester I don't get good resolution on my tablet so can't really see the heatmap.0 -
I use the glycemic load as a starting point for figuring out which carbs I predict I will be able to eat - but ultimately, whether a particular carb stays in my diet in any significant quantity is what my meter tells me. I test before eating, 1 hour after, and 2 hours after. If the two hour mark is higher than the 1 hour mark, I test at 3 hours. It's a royal pain, at the moment, but eventually I will have a good idea of what and how much I can eat.0
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