This person is a long time ME/CFSer. I should start by pointing out that the Eubiosis measure is easy to misinterpret. This person has a good 90.2% eubiosis. This indicates that things are more even (balance is likely a poor choice of word, too many meanings attached) — this is not a health measure as such. It’s a statistical measure whether the microbiome is matching the ideal pattern (not health specific).
Health Analysis is health orientated. Looking at those values we see a loss of health indicators while the evenness has improved.
- “Leaked” from Oral Cavity
- By Taxa is 70%ile, was 48%ile (7/2023), 70% (09/2022)
- By Volume 49%ile, was 19% (7/2023) , 38.5 (09/2022)
- Jason Criteria: 17%ile was 17%ile the same
- Key Symptoms bacteria went to 18 was 12
The Oral Cavity stands out as a concerning factor for this person.
Analysis
We have a historic trend of 6 samples. We need to be careful of our interpretation because of differences in Lab Read Quality. The Lab Read Quality bounces around, and with that, other values may echo these shifts (i.e. up to 20% shifts for some measures). A low read quality means less bacteria are reported, for example, when it was low, the Outside Kaltoft-Moldrup has low, when it was high, the value became high.
Another way to view it is this: If 10% are out of range and 850 are reported then we have 85. If we have 500 in another report then we would expect 50. This could be misread as a 85/50 or a 70% increase in out of range bacteria. Technically, it is more complicated but that should explain the problem.
We have only one item đ that is a clear improvement and one item suggesting a loss :-(.
Criteria | 1/5/2024 | 7/3/2023 | 9/26/2022 | 1/9/2022 | 3/8/2021 | 7/26/2020 |
Eubiosis | 91.5 | 68.8 | 41.1 | 65.6 | 31.5 | 43.5 |
Lab Read Quality | 7.9 | 4.4 | 11 | 3.3 | 3.6 | 3 |
Outside Range from GanzImmun Diagostics | 15 | 15 | 19 | 19 | 13 | 13 |
Outside Range from JasonH | 4 | 4 | 5 | 5 | 6 | 6 |
Outside Range from Lab Teletest | 21 | 21 | 18 | 18 | 27 | 27 |
Outside Range from Medivere | 16 | 16 | 17 | 17 | 13 | 13 |
Outside Range from Metagenomics | 5 | 5 | 7 | 7 | 8 | 8 |
Outside Range from Microba Co-Biome | 2 | 2 | 2 | 2 | 2 | 2 |
Outside Range from MyBioma | 10 | 10 | 3 | 3 | 9 | 9 |
Outside Range from Nirvana/CosmosId | 22 | 22 | 18 | 18 | 20 | 20 |
Outside Range from Thorne (20/80%ile) | 215 | 215 | 224 | 224 | 228 | 228 |
Outside Range from XenoGene | 36 | 36 | 35 | 35 | 37 | 37 |
Outside Lab Range (+/- 1.96SD) | 7 | 14 | 2 | 10 | 11 | 26 |
Outside Box-Plot-Whiskers | 55 | 49 | 46 | 73 | 92 | 103 |
Outside Kaltoft-Moldrup | 114 đ | 72 | 84 | 47 | 38 | 86 |
Bacteria Reported By Lab | 749 | 545 | 838 | 495 | 660 | 483 |
Bacteria Over 90%ile | 23 đ | 47 | 34 | 66 | 69 | 100 |
Bacteria Under 10%ile | 49 | 28 | 21 | 11 | 2 | 44 |
Shannon Diversity Index | 1.958 | 1.172 | 1.595 | 1.491 | 1.97 | 0.933 |
Simpson Diversity Index | 0.041 | 0.234 | 0.075 | 0.128 | 0.045 | 0.012 |
Chao1 Index | 16554 | 7002 | 18614 | 6127 | 11112 | 7513 |
Pathogens | 32 | 25 | 34 | 29 | 28 | 23 |
Condition Est. Over 90%ile | 0 | 0 | 0 | 0 | 0 | 0 |
Actual Symptoms in top 10 Forecasted | n/a | 5 | n/a | 3 | 5 | 8 |
We have a good number of bacteria strongly statistically associated with symptoms
The difference between the two symptom forecast methods is shown below. The newer method (genus only) appears to predict symptoms better
Going Forward
With the revised algorithm (see Algorithm for âJust Give Me Suggestionsâ with symptoms we get the following. Unlike many samples, there were few antibiotics at the top of the list.
To Take
Spices and herbs can be done as capsules, teas, oils or just putting on food, but given the Oral leakage — as teas should be considered.
Looking at probiotics, we have a good number that would allow easy rotation of probiotics. Two are usually difficult to obtain: lactobacillus kefiri and lactobacillus sakei . Most are available at my usual two preferred sources: Custom Probiotics and Indian Bulk Exporter (Maple Life Sources). See this list for sources not available there. By rotation, I mean 20-50 BCFU daily of one probiotic for 2 weeks and then change to another probiotic.
Modifier To Avoid |
saccharin |
Ferric citrate (iron) |
stevia |
polydextrose |
Pork |
Slippery Elm |
l-citrulline |
nuts |
Psyllium (Plantago Ovata Husk) |
vegetarians Top of Form Bottom of Form |
fibre-rich macrobiotic ma-pi 2 diet |
Pulses |
xylan (prebiotic) |
Oral Bacteria Issue
This may be a likely contributor to ongoing issues. Why? the sinus and oral cavity repopulates the gut and undo prior improvements. My best suggestions are to address this are:
- When possible, drink teas with the any of the suggested herbs.
- Do not take probiotics as capsules, instead as powder dissolved in warm water and hold in the mouth before swallowing. See SymbioflorÂŽ 1 – Respiratory diseases | SymbioPharm, this may help.
- Address any dental issues
Postscript â and Reminder
I am not a licensed medical professional and there are strict laws where I live about âappearing to practice medicineâ. I am safe when it is âacademic modelsâ 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.
The answers above describe my logic and thinking and is not intended to give advice to this person or any one. Always review with your knowledgeable medical professional.
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