For other analysis for ME/CFS see this list.
Prior Posts:
- A review of a ME/CFS Microbiome Jan 2021
- Evidence of ME/CFS improving using Microbiome Data May 2022
- Comparing 4 ME/CFS Samples with New Tool Jul 2022
- A Microbiome Trek Continues thru the land of ME/CFS. Feb 2023
- Biomesight vs Thorne Tests – Differences Mar 2023
- Post Exertional Malaise (PEM) with diminished ME/CFS Nov 2023
Analysis
This person had been doing duel interpretation of their FastQ files (Thyrve and BiomeSight). The results are mixed. A common problem comparing results is not there, the Lab Quality is similar for most of the samples,
Criteria | 2/2/2024 | 3/23/2023 | 10/29/2022 | 8/22/2022 | 7/21/2022 | 4/30/2022 |
Lab Read Quality | 4.9 | 8.7 | 5.1 | 5 | 4.9 | 4.8 |
Eubiosis | 100% 🙂 | 36% | 50% | 66% | 87% | 74% |
Outside Range from GanzImmun Diagostics | 13 | 13 | 18 | 18 | 16 | 16 |
Outside Range from JasonH | 6 | 6 | 6 | 6 | 7 | 7 |
Outside Range from Lab Teletest | 26 | 26 | 27 | 27 | 29 | 29 |
Outside Range from Medivere | 17 | 17 | 17 | 17 | 17 | 17 |
Outside Range from Metagenomics | 9 | 9 | 8 | 8 | 9 | 9 |
Outside Range from Microba Co-Biome | 9 | 9 | 9 | 9 | 11 | 11 |
Outside Range from MyBioma | 8 | 8 | 8 | 8 | 9 | 9 |
Outside Range from Nirvana/CosmosId | 19 🙂 | 19 | 22 | 22 | 24 | 24 |
Outside Range from Thorne (20/80%ile) | 217 🙂 | 217 | 300 | 300 | 216 | 216 |
Outside Range from XenoGene | 48 | 48 | 53 | 53 | 45 | 45 |
Outside Lab Range (+/- 1.96SD) | 26 | 4 | 6 | 16 | 8 | 4 |
Outside Box-Plot-Whiskers | 104 | 34 | 36 | 120 | 73 | 44 |
Outside Kaltoft-Moldrup | 126 | 161 | 85 | 125 | 102 | 70 |
Bacteria Reported By Lab | 694 | 632 | 604 | 843 | 752 | 575 |
Bacteria Over 90%ile | 65 🙁 | 28 | 30 | 87 | 47 | 37 |
Bacteria Under 10%ile | 76 | 140 | 28 | 61 | 51 | 25 |
Shannon Diversity Index | 3.107 | 3.028 | 2.987 | 3.227 | 3.126 | 3.121 |
Simpson Diversity Index | 0.044 | 0.085 | 0.076 | 0.045 | 0.088 | 0.075 |
Chao1 Index | 16886 | 13972 | 13231 | 27357 | 20690 | 9772 |
Pathogens | 29 | 30 | 25 | 34 | 35 | 28 |
Forecasted | 4 | 3 | n/a | n/a | 4 | 4 |
We have a few matches with the latest symptom forecast. Remember this is pattern matching over symptoms that likely have dozen of subsets.
Going Forward
We are going to do the [Just give me suggestions include Symptoms] . This gives us 5 packages of suggestions.
Looking only at what is suggested by all 5 sets of suggestions
- Avoids
Highest value was 280, thus a threshold of 140, lowest value was -220, thus a threshold of -110. What was VERY DIFFERENT then most samples, there were not a swarm of prescription items hogging the top. Also the range of priorities was much less than most samples examined. This implies less severe dysbiosis (or less that we can do, i.e. suggestions).
Takes
- Amino Acids and Supplements
- Foods and Herbs
- Probiotics and Prebiotics – nothing
- Antibiotics: The top two are all common with ME/CFS
Avoids
- alcoholic beverages
- blueberry
- pea (fiber, protein)
- dairy
- Slippery Elm
- Rhubarb Peony Decoction
- Limosilactobacillus fermentum (probiotic)
- non-starch polysaccharides
- proton-pump inhibitors (prescription)
- Slippery Elm
- Bile Acid Sequestrant
- glycerol monolaurate (Monolaurin)
Antibiotics as FYI
The top 3 antibiotics that had all 5 agreement on were also often used for ME/CFS:
Shot in the Dark for PEM
PEM is an ongoing issue for this person. With the new symptoms algorithms, I decided to run both with only PEM selected. The top results are
- Take
- Avoid
Postscript – 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.
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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