I have just added stubs for a new set of statistics based on uBiome reports uploaded. I believe we can assume that 90% of the uploads are for CFS/FM/IBS spectrum.

If you go to Bacteria Species you will see some distinctive patterns.

So very few with any Lactobacillus But we also see that almost every one has some other ones:

We see similar for Bifidobacterium except for one strain, Bifidobacterium longum.

I will leave interested readers to explore and speculate. The most frequently seen were

• Flavonifractor plautii 34
• Bacteroides vulgatus 33
• Blautia wexlerae 33
• Parabacteroides distasonis 32
• Bacteroides thetaiotaomicron 30
• Faecalibacterium prausnitzii 30
• Blautia faecis  30
• Anaerostipes sp. 5_1_63FAA 30
• Blautia luti  30

Bottom Line

This is just a sample of what is possible with the design of the site. Explore these statistics pages. There is a real possibility that citizen-science may unlock key components of CFS.

Some people wonder why there is a number for both avoid and take of an item. This morning I answered an email asking if they should take spore probiotics. Spore probiotics are usually in the Bacillus family of probiotics.

I went to look at the Modifier Reference page for bacillus and the whys are immediately seen for bacillus:

We see some studies had one result and other studies a different result! Bacillus contain many genus — so it is likely the specific genus is responsible for the difference. When we drill down to the genus level, we usually see less variation. For example, bacillus subtilis

We can still see differences. The information is fuzzy.  Other factor are errors entering the data or misinterpretation of the study or even how the study was designed or the tools used for measurement. Fuzzy logic is what we need to use to process this fuzzy data (as well as double checking references).

So what are the weights?

This is a fuzzy summing of the individual items for one item, which is then fuzzy summed for the number of items (taxonomy) that are impacted by this material with a plus or minus (according to overgrowth or undergrowth).

The bottom line is a simple recommendation (Avoid, Take, —) from the best item to take to the items that you should exclude. The numbers are shown for the more technical reader because there is uncertainty when there are both plus or minus for an item. Our knowledge is fuzzy, the studies are fuzzy and we are trying to modify a complex interacting microbiome using studies that could be well described as naive.

Bottom Line

Applying fuzzy logic to data is part of my academic training and has been part of my work experience since the late 1980’s. Giving advice to patients is something that I am unlicensed to do and unqualified — hence the disclaimer at the bottom of the pages.

Finding a clinical physician that is qualified in AI, microbiome and medicine is likely a quest for the holy grail.  My best suggestion is to take the academic suggestions and review them with a qualified physician before starting.  In some cases, the recommendations may conflict with your condition or prescription medications — things that I cannot factor in.

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

Working off Alison Vickery’s associated bacteria list for histamine producing bacteria, I added a feature to the histamine page — I took all of these bacteria and used the website AI to look for things that they may have in common.

There appear to be a pattern — some highlights are below. Including children/parents did result is some dramatic shifts:

• Berbine went from strong take to neutral
• VSL#3,bifidobacterium bb-12,  jumped to strong avoid

I will leave it to readers to explore further.

 The above is strictly a conceptual exploration assuming that the cause is a microbiome shift. Many of the items may initially trigger histamine release.

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

I’ve done some bug fixes and added new features.

Major Bug

Symptoms were not being saved. I have created a page to enter symptoms at any time and to revise them. If you have already upload, please return to the site and add symptoms.

New Features

• Support for Gesundsheitscheck Darm Medivere stool Reports have been added.

Histamine Report

This last week Alison Vickery’s Web Site posted on the bacteria associated with histamine. I suspect they may not match the microbiome of people with histamine issues, but regardless of that, I took her list and created a page that checks your microbiome results against her list.

The report is at  (remember to login and select your sample first). An example of the report:

You will find the report under the histamine tab

Login via Password been added

People misplace information, so if you enter your email, you can get a password sent to you to use instead of a sampleId.

1. Go to the Logon With Password menu item above.
2. Enter your email
3. Click Send Password
4. Copy the password from your email

Ability to share or annotate uBiomes

A physician wrote asking how multiple uBiome can be done on one email. I resolve that by improving the sample choice screen from which you can:

• start exploring
• enter your symptoms
• enter a note or additional email that can access this specific ubiome

All of the Patient Email can be used to ask for passwords to be sent.

Bottom Line

The site is evolving, with bugs expected (usually these will be worked on over weekends).