Most of the analysis that I have done recently has been either ME/CFS, Long COVID or Autism. If you look at the page entitled Medical Conditions with Microbiome Shifts from US National Library of Medicine you will see a lot of different conditions that may be influence by microbiome manipulation..
In the same email I got an second challenge: “Father In Law – Diabetes, Heart conditions and High Blood Pressure” with samples of her.
Foreword – and Reminder
I am not a licensed medical professional and there are strict laws where I live about “appearing to practice medicine”. I am safe when it is “academic models” and I keep to the language of science, especially statistics. I am not safe when the explanations have possible overtones of advising a patient instead of presenting data to be evaluated by a medical professional before implementing.
I cannot tell people what they should take or not take. I can inform people items that have better odds of improving their microbiome as a results on numeric calculations. I am a trained experienced statistician with appropriate degrees and professional memberships. All suggestions should be reviewed by your medical professional before starting.
Analysis
In this case we have an even higher lab quality than the wife, but a lot less bacteria reported. This means that the microbiome is likely a lot less fragmented than the wife.
| Criteria | Current Sample |
| Lab Read Quality | 11.5 |
| Bacteria Reported By Lab | 628 |
| Bacteria Over 99%ile | 4 |
| Bacteria Over 95%ile | 27 |
| Bacteria Over 90%ile | 48 |
| Bacteria Under 10%ile | 330 |
| Bacteria Under 5%ile | 295 |
| Bacteria Under 1%ile | 237 |
| Rarely Seen 1% | 12 |
| Rarely Seen 5% | 41 |
| Pathogens | 50 |
| Outside Range from JasonH | 7 |
| Outside Range from Medivere | 21 |
| Outside Range from Metagenomics | 9 |
| Outside Range from MyBioma | 4 |
| Outside Range from Nirvana/CosmosId | 25 |
| Outside Range from XenoGene | 6 |
| Outside Lab Range (+/- 1.96SD) | 14 |
| Outside Box-Plot-Whiskers | 54 |
| Outside Kaltoft-Moldrup | 246 |
| Condition Est. Over 99%ile | 1 |
| Condition Est. Over 95%ile | 1 |
| Condition Est. Over 90%ile | 8 |
Dr. Jason Hawrelak Recommendations has him at the 75%ile — so off, but not really bad. Following the same pattern of analysis as the wife (since we have no matching special studies):
- PubMed: Hypertension (High Blood Pressure
- PubMed: Type 2 Diabetes
- PubMed: Coronary artery disease
- Outside Range from Medivere
- Outside Range from Nirvana/CosmosId
- Outside Lab Range (+/- 1.96SD)
- Outside Kaltoft-Moldrup
The consensus download is below
Probiotics
From KEGG, we do NOT find Escherichia coli near the top of the list. We see the usual odd bacteria strains from Equilibrium and Prescript Assist then:
With microbiome labs/ megasporebiotic being a good match.
From the consensus we have (in decreasing order), a similar list.
- lactobacillus reuteri (probiotics) see this list for products that combines this with one or more of the following (also recommended)
- pediococcus acidilactic (probiotic) – for example: Imagilin / NutriLots
- bacillus subtilis (probiotics) – see above
- The following are shared with his wife (but lower priority)
I would suggest starting with whatever arrives first, starting with a low dosage and increasing every second day.
Prebiotics
Vitamins
Most of the vitamin B’s are to be avoided. Selenium, magnesium, vitamin a and folic acid,(supplement Vitamin B9) are the top items.
Supplements
The top items are all available on Amazon and other stores:
Herbs And Spices
Diet Style
Specific Foods
One item really jumps out — Burdock Root (Gobo in Japan)- which is available as a supplement if not available as a fresh vegetable. It is high in Inulin (but inulin is much lower, just 81 — so other components may be playing a significant role)
Bottom Line
The diet style is a major contrast with the wife — this creates the frustration of needing almost a double food preparation. To address this issue, I imported both consensus list into Excel, used a VlookUp function to display the values besides each modifier and then identified items that are positive for both and then order by the total of each.
This allows one menu to be used for both of them. Perhaps a little less effective, but likely a lot less frustrating (and thus better compliance). I attached it as an example.
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