This post looks at three more people that have done 2 microbiome results over time.

Example 1

Following recommendations

 Example 2

This was a series of ubiome done around 2016. A health professional attempted to deal with the microbiome dysfunctions with traditional conventional processes.

Example 3

Treatment is unknown, but by the ubiome numbers, would have occurred after recommendations became available OR have been a natural / spontaneous improvement.

Bottom Line

There is growing evidence that the recommendations appear to:

• Normalize metabolite functions (KEGG)
• Reduce the typical microbiome signature across multiple autoimmune like conditions.

Our base assumption is that symptoms are caused by the shifts. There is no objective way to measure symptoms (and with memory issues often being involved, it makes it a more unreliable evaluation method). We can measure the two above items, and do observe improvements.

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.

There was been a bunch of changes over the last week (and this weekend).

• ubiome kit 15% discount code:  BIOTICS15
• On Apples, the Buttons do not show up well, so I have modified their presentations
• Caught and fixed a few bugs in the Alternative Labs.
  • I tested each by setting Lactobacillus low only and compared recommendations. If you have the cycles, please re-test and report any issues.
• Remember login information as cookies — this will making log on easier. Just return to the page and the information will be automatically filled in.
  

Statistics on what data we use is now shown

We have 1600+ known items that will modify the gut, and some 76000+ relationships on how it will be modified. A lot of the items added this week were from drugs. Work is starting on expanding non-drugs data.

If you are on a prescription drug, you may find it (and it’s impact) on the updated modifiers.

http://microbiomeprescription.com/library/summary

Data Summary

Bacteria family112

Improved Navigation

From the sample selection pages, we have made links to other pages clearer:

Similarly for condition profiles

Bottom Line

I hope this makes navigation easier.  I have started working with data scientists at the Allen Institute to improve the data we are using. My focus for the next few weeks will be to increase our knowledge of non-prescription ways of modifying the microbiome.

Needless to say, adding symptoms and copying the KEGG/metabolism data across to the site will both:

• allow research to happen better
• allow you to see objective progress over time (i.e. KEGG/ metabolism improved, autoimmune profiles improve).

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.

DayTwo (https://www.daytwo.com/ ) provides a microbiome test and nutritional recommendations ($349 covering some 92 taxonomy units verus $80 for hundreds with uBiome.com). Their focus appears to be:

“DayTwo analyzes your microbiome to predict blood sugar responses to thousands of different foods. High blood sugar is linked to energy dips, excessive hunger, weight gain and increased risk of obesity and diabetes”

A reader forwarded me their report  and I have implemented a suggestions page for it at:

• http://microbiomeprescription.com/Kyber/DayTwo

Selling nutritional suggestions off microbiome is a “hot area” for marketing. My concern is that the advice for more belief based recommendations instead of science based recommendations.

They score foods with A,B,C grades as shown below

For the reader, an example of food recommendations from their report:

MicrobiomePrescript Recommendations

This is a healthy active individual but with some significant shifts in some of the measures.

The rice and pasta suggestions above matches with the avoid a no carbohydrate diet above.

Bottom Line

This company appear to attempt a menu service based on their microbiome results which seems to be targeted at healthy people

Some one who been following the recommendations from http://microbiomeprescription.com/ just uploaded their latest (march, 2018) results and asked me too look at the changes. I did this earlier when I first created the page to compare: Comparing repeated uBiome results  and the first study Simple Summary of Progress between uBiome Samples

Total for all AutoImmune like Profiles

Decreased from 127 to 116. Most significant was metabolic syndrome dropping from 8 factors to 3 factors. Chronic Fatigue Syndrome dropped from 18 factors to 15 factors.

On the other side, ADHD factors increased from 6 to 11, which agrees with the observed lost of focus.

Metabolism (KEGG) has improved

Std Dev is the measure of how scattered the results are around normal. If every result was 1.0 then Std Dev would be 0.0.

• 0.47 would be like the red line below
• 0.23 would be like the green line below

Detail Changes

The following went up or down significantly

The above lead to some suggestions:

• Alpha lipoic Acid supplements
• Ginger – Ginger Blood Thinner Properties
• Turmeric – Turmeric Blood Thinner Properties
• Resveratrol– The most common Blood Thinners
• Almonds – Almond as a Blood Thinner
• Arachidonic acid supplements (a.k.a. Peanuts)

Bacteria Shifts

This is the percentage from the normal  ranges that I have been using. We see several phylum (high level of bacteria) has moved from very low to the normal range as the Bacteroides/Firmicutes ratio has also shifted.

Visuals

At the class level, we see that a lot of classes have increased in side, which I view as a good thing.

Recommendations

With the new recommendation engine,  we had 12 items on default recommendations with  the former sample, and only 1 item for the latest sample (high counts). When we switched to the low counts ONLY for current sample, we get a long list. A few examples below:

Bottom Line

This is the second comparison that I have done [earlier one], and both had KEGG (Metabolites) improving and other improvements.

Modifying the microbiome is a complex area — do you reduce the high first, increase the low, try doing both at the same time?

The key take away is that “Yes Virginia, you can alter and improve your microbiome”. After altering it one way, the next ubiome sample may result in major changes of what to take. It is NOT a straight linear path.

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.