The root of all evil in the Microbiome?

From Special Studies, I extracted the genus who are associated with various symptoms/conditions and then aggregated into a single table below. See Special Studies Updated and A new specialized selection of suggestions links for background.
UPDATE: Just added Possible help for the root of all evil in the microbiome?

Conceptually, these are the ones that will lead to a variety of symptoms and conditions. Two of the more significant ones are available as probiotics:

  • Clostridium (i.e. miyarisan (jp) / miyarisan)
  • Bifidobacterium (many brands, I tend to favor Custom Probiotics offerings with HMO)
  • Prevotella may be available as a retail probiotic soon (see Prevotella copri as Next Generation Probiotics). There is also a US Patent for  Prevotella histocola which implies work on producing it.
  • Veillonella probiotics appear to be available in a mixture (ULTRA-VEILLONELLA) however, I have reservations about the seller (site is new – 2022, no species information, no safety or other studies (legally required in the USA), no information about the company, etc. in other words has an unpleasant smell)
  • Note that Lactobacillus is far down this list.

CLICK ON THE BACTERIA BELOW TO SEE WHAT INCREASES OR DECREASES EACH

Bacteria RankShiftedConditionsSum Of Conditions
PrevotellaLow22145
VeillonellaLow21113
ClostridiumLow21102
BifidobacteriumLow20151
AnaerococcusLow1779
PhocaeicolaLow1778
StreptococcusLow15118
BacteroidesLow1472
PeptoniphilusLow1469
BlautiaLow1464
LactobacillusLow1451
MegasphaeraLow1351
ErysipelatoclostridiumLow1351
SchaaliaLow1342
LactiplantibacillusLow1339
EscherichiaLow1236
PorphyromonasLow1146
CorynebacteriumLow839
FusobacteriumLow831
SlackiaLow827
CampylobacterLow723
SuccinivibrioLow622
CollinsellaLow622
RoseburiaLow517
ActinobacillusLow517
MediterraneibacterLow516
MegamonasLow515
HungatellaLow515
CatenibacteriumLow420
DesulfovibrioLow419
HaemophilusLow418
The Genus associated most with health issues

Special Studies Updated

With this being the Thanksgiving Weekend, I had time to work on my backlog. One of the items was special studies. I have done the following changes:

  • Executed the analysis for both uBiome and Thryve/Ombre samples. So more samples will have the option of using special studies.
  • Implemented Consensus/Monte Carlo between the bacteria, casting the species (which are not reported consistently between labs) to their genus. These are shown on the [Key Bacteria] link below.

Last, I have added per  Peripheral neuropathy to the symptom list.

REMEMBER TO ANNOTATED YOU SAMPLES WITH YOUR SYMPTOMS

This is what Special Studies use.

Common Bacteria across labs is now available for each.
https://microbiomeprescription.com/Library/CitizenScience

Example: for Chronic Fatigue Syndrome

The page below shows a distinct pattern for ME/CFS with Bifidobacterium being the greatest significance. For this bacteria, my first suggestion is simple:  Human milk oligosaccharides (HMOs) and Bifidobacerium infantis probiotics.

https://microbiomeprescription.com/sample/specialDetails?study=Chronic%20Fatigue%20Syndrome%20(CFS/ME)

It is interesting to note that Lactobacillus does not appear as significant.

Bottom Line

Special Studies are still a “work-in-progress”. Using them “as is” have not produced superior results to those from the standard triplet (Outside Lab Range, Box-Plot-WhiskersKaltoft-Møldrup) — see this post for an example. How do I determine which is better? For ME/CFS, we should have the top suggested items being cross validated with clinical studies. Feel free to explore the results.

I will continue working on getting superior results from special studies — stay tune!

An ME/CFS Journey using their Microbiome

Back Story

I go this email from someone who just moved to Spain from the U.S. She has being using Microbiome Prescription to try improving her ME/CFS. She had the testing done by Ombre Labs, and then transfer the data to BiomeSight. This allows her to keep consistent analysis on her journey of recovery.

I’m doing pretty well with bacillus coagulans and pretty bad with some other recommendations so I’m looking for some extra clarity. When I hit a great herbal antibiotic and a great probiotic life gets so much better, but oftentimes it’s harder than that. Sometimes I don’t get enough  herbal antibiotic recommendations. Some of the probiotics I may need, like e-coli or bifidus, cannot sustain me the way coagulans does -keeping my local infections at bay. So I try to combine them  or if it’s not clear if they are compatible, I tend to not take them, which is a shame. So I’m considering prescription medicine to see if I can get a bit more help.

I’m also figuring out where to buy supplements etc. Life is really an adventure!

Comparison Between Samples And Lab Interpretations

For those not familiar with the issue of Lab Interpretation of the identical data see The taxonomy nightmare before Christmas…[2019]. Ombre typically reports on 25-30% more bacteria types than BiomeSight. The quality improved, but the number of bacteria identified are very similar. I give observations below:

OmbreLabResultsBiomeSight LabResults
Criteria6-Jul19-Aug10-Oct6-Jul19-Aug10-Oct
Lab Read Quality2.15.47.12.15.47.1
Bacteria Reported By Lab365628625280497490
Bacteria Over 99%ile560271
Bacteria Over 95%ile27241193111
Bacteria Over 90%ile49511375824
Bacteria Under 10%ile18604854562224
Bacteria Under 5%ile10284112830175
Bacteria Under 1%ile17317113135
Lab: Thryve
Rarely Seen 1%091042
Rarely Seen 5%8402741817
Pathogens192825152616
Outside Range from Medivere16165444
Outside Range from Metagenomics7719171716
Outside Range from MyBioma14148777
Outside Range from Nirvana/CosmosId23238997
Outside Range from XenoGene333325222219
Outside Lab Range (+/- 1.96SD)101442282822
Outside Box-Plot-Whiskers6461126137
Outside Kaltoft-Møldrup11218231708464
Condition Est. Over 99%ile0054270113175
Condition Est. Over 95%ile000010
Condition Est. Over 90%ile2210040
Enzymes Over 99%ile131517060
Enzymes Over 95%ile698200100
Enzymes Over 90%ile155411022320
Enzymes Under 10%ile551382455121
Enzymes Under 5%ile22671593308219212
Enzymes Under 1%ile521320187132146
Compounds Over 99%ile104126641124767
Compounds Over 95%ile385397430719
Compounds Over 90%ile5335486011276138
Compounds Under 10%ile183248103342313323
Compounds Under 5%ile109127359180125224
Compounds Under 1%ile1617303376473
Compounds Under 1%ile1721224172140
Comparison Table

The following are apparent, between the last two samples, the reader was trying to follow the suggestions.

  • The number of high bacteria (> 90%ile, > 95%ile, > 99%ile) show significant decline
  • Rarely Seen bacteria show significant decline
  • The number of low bacteria (< 10%ile, < 5%ile, < 1%ile) show significant increases – suggesting more diversity
  • The Outside Range is a little mixed, with either both labs showing a decline, OR one showing a decline and one an increase. None showed increase on both.
  • High Enzymes show decline. Low Enzymes had inconsistent results.
  • Compounds and Conditions had inconsistent results

Enzymes, Compounds and Conditions are best effort estimates (and experimental) and be taken with a grain of salt (50 mg). By conventional thinking, the microbiome has improved (less extreme high levels), less pathogenic bacteria types.

Going Forward

Consensus approach (also known as Monte Carlo Simulation) remains the safest choice. To simplify the analysis, I will use the standard triplet (Outside Lab Range, Box-Plot-Whiskers, Kaltoft-Møldrup) on both latest samples processed through Ombre and Biomesight data processing. Given the report that some did not work subjectively, I decided to proceed down the most restrictive approach. I used the new quick suggestions (best choice for someone with brain fog).

Probiotics

The #1 and #2 choices are lactobacillus paracasei and bacillus subtilis. Kegg choices are Escherichia coli, Bacillus subtilis (with Biomesight numbers being much less than Ombres).

ThryveBiomesight
Microbiome ModifierSuggestionsClinical DosageEst ConfidenceSuggestionsEst Confidence
bacillus subtilisTake10 BCFU/day340.4Take223.6
bacillus lichenformisTake279.1Take20.9
enterococcus faeciumTake1 BCFU/day13.2Take8
bifidobacterium longumTake10 BCFU/day516.2Take182.5
lactobacillus paracaseiTake40 BCFU/day58.7Take397.5
pediococcus acidilacticiTake157.7Take215.4
Items with Agreement

For other items, there were a surprisingly few in agreement.

Microbiome ModifierSuggestionsClinical DosageEst ConfidenceSuggestionsClinical DosageEst Confidence
galactooligosaccharides (GOS)Take10 gm/day15Take10 gm/day139.1
CalciumTake500 mg/day129.2Take500 mg/day36.2
MagnesiumTake500 mg/day189.7Take500 mg/day119.2
D-RiboseTake10 gm/day80.6Take10 gm/day23.6
GlycineTake15 gm/day409.2Take15 gm/day258.5
Omega-3 fatty acidsTake4 gm/day166.8Take4 gm/day289.4

Using the Consensus across Multiple Samples

This gives a lot more information, but at the cost of more complexities.

The approach is similar to the above, except for suggestions we change to Every thing. I have extracted the items > 100 that are 5 or 6 Take Count with 0 or 1 Avoid Count to the table below in decreasing order

Prescription Drugs Analysis

The approach is similar to the above, except for suggestions we change to Every thing.

And then use the option on the Multiple Samples tab,

Remember to empty the old baskets.

The items that came up (as discussed above) are:

So every item at the top of the list (from over a possible choice of 3000 different prescription drugs), are cross-validated against the literature with the exception of proton-pump-inhibitor. This person can show their medical professional that the microbiome model suggests it and clinical studies confirm that they are reasonable.

I favor Dr. Cecile Jadin protocol of rotating antibiotics typically a course (7-10 days), then a break of 1-2 weeks, and then proceed to the next one.

Feedback from Reader

I love Dr. AI [Artificial Intelligence], which other doctor asks you to eat as much 100% chocolate I can??? And I tolerate it, luckily. And there are so many yummy brands in Spain, I don’t remember having that much choice when I left! 

Thanks for all the info, very helpful, very encouraging to see progress “on paper”, and to have clear things to share with my new doctor. I’m confident I’ll find a microbiome helper here in Barcelona.

The greatest challenge in treating ME/CFS is that there is no clear test to see if something is helping. Using repeated microbiome samples with systematic trials of suggestions, provides objective evidence — even when the subjective evidence is not pronounced. ME/CFS patients have a real challenge on doing subjective evaluation — they often cannot recall how they were two weeks ago!

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.

Experiment with Kefir

A reader asked to look at the data from an experiment she did.

I have provided two biomesight results from biomesight (BS) to microbiome prescription (MP). The sample consuming kefir daily was sent first (both to BS and MP). The second sample was after stopping kefir consumption between the two samples.

This was not the ideal sequence, getting a sample before doing Kefir and one after would be the typical approach. This approach should indicate what is lost by stopping. There was 3 weeks washout time before samples.

Analysis

The stopped Kefir sample is higher quality, so the expectation would be for the numbers to be higher. This is not the case. Stopping resulted in more extreme ranges for bacteria(1.5x more), less types of bacteria, dramatic drop in the count of bacteria out of range (93% decrease in Outside Lab Range). There was a significant in compounds being produced by the microbiome that were more extreme (8x increase) and enzymes also (3.6x increase).

CriteriaOn KefirStopped Kefir
Lab Read Quality3.95.3
Bacteria Reported By Lab470404
Bacteria Over 99%ile110
Bacteria Over 95%ile305
Bacteria Over 90%ile4319
Bacteria Under 10%ile1074
Bacteria Under 5%ile139
Bacteria Under 1%ile07
Lab: BiomeSight
Rarely Seen 1%22
Rarely Seen 5%1214
Pathogens2922
Outside Range from JasonH44
Outside Range from Medivere1414
Outside Range from Metagenomics77
Outside Range from MyBioma55
Outside Range from Nirvana/CosmosId1919
Outside Range from XenoGene2121
Outside Lab Range (+/- 1.96SD)181
Outside Box-Plot-Whiskers7329
Outside Kaltoft-Møldrup8174
Condition Est. Over 99%ile00
Condition Est. Over 95%ile00
Condition Est. Over 90%ile11
Enzymes Over 99%ile10
Enzymes Over 95%ile32
Enzymes Over 90%ile2441
Enzymes Under 10%ile79240
Enzymes Under 5%ile26158
Enzymes Under 1%ile147
Compounds Over 99%ile02
Compounds Over 95%ile4113
Compounds Over 90%ile29453
Compounds Under 10%ile44163
Compounds Under 5%ile1861
Compounds Under 1%ile28

As often happens, there is a Yin/Yang with some indicators improving and other worst. My general impression is that this microbiome does better on Kefir.

Bacteria Specifics

I then went to compare specific bacteria shifts that had special interest or large shifts

BacteriaOn Kefir Percentile (Percentage)Stop Kefir Percentile (Percentage)
(genus) Bifidobacterium3572
(genus) Lactobacillusnone43
(genus) Blautia38 (6.5%)46 (7.2%)
(genus) Faecalibacterium34 (8.4%)62 (14.6%)
(genus) Lachnospira21 (0.6%)70 (3.5%)
(genus) Bacteroides66 (29.1%)88 (40.5%)
(genus) Phocaeicola79 (15%)93 (23%)

In terms of the literature, I could only find Bacteroides and Phocaeicola, which are both reported to increase (agrees). Different Kefirs will have different impact because each has different bacteria in it. “The kefir granules are a consortium of bacteria and yeasts embedded in a exopolysaccharide matrix. ” [2022]

See Milk kefir: composition, microbial cultures, biological activities, and related products [2015] for various lists of bacteria in different kefir tested.

List of Possible Bacteria in Kefir

The following list illustrates why I tend not to recommend Kefir — too many possible bacteria, some good and some bad. It’s probiotic roulette! If you buy commercial Kefir, have some fun — email the producer and ask which strains are in it, and the last full shotgun lab report verifying it.

  1. Acetobacter acetic
  2. Acetobacter fabarum
  3. Acetobacter lovaniensis
  4. Acetobacter orientalis
  5. Acetobacter rancens
  6. Acetobacter sp.
  7. Acetobacter syzygii
  8. Acinetobacter sp.
  9. Bacillus sp.
  10. Bacillus subtilis
  11. Bifidobacterium bifidum
  12. Bifidobacterium sp.
  13. Brettanomyces sp.
  14. Candida inconspicua
  15. Candida krusei
  16. Candida lambica
  17. Candida maris
  18. Candida sp.
  19. Cryptococcus sp.
  20. Dekkera anomala
  21. Dysgonomonas sp.
  22. Enterococcus durans
  23. Enterococcus faecalis
  24. Enterococcus sp.
  25. Escherichia coli
  26. Gluconobacter frateurii
  27. Gluconobacter japonicus
  28. Halococcus sp.
  29. Kazachastania khefir
  30. Kazachstania aerobia
  31. Kazachstania exigua
  32. Kazachstania unispora
  33. Kluyveromyces lactis
  34. Kluyveromyces marxianus
  35. Kluyveromyces marxianus var. lactis
  36. Lachancea meyersii
  37. Lactobacillus acidophilus
  38. Lactobacillus amylovorus
  39. Lactobacillus brevis
  40. Lactobacillus buchneri
  41. Lactobacillus casei
  42. Lactobacillus casei ssp. pseudoplantarum
  43. Lactobacillus crispatus
  44. Lactobacillus delbrueckii ssp. bulgaricus
  45. Lactobacillus helveticus
  46. Lactobacillus kefir
  47. Lactobacillus kefiranofaciens
  48. Lactobacillus kefiranofaciens ssp. kefiranofaciens
  49. Lactobacillus kefiranofaciens ssp. kefirgranum
  50. Lactobacillus kefiri
  51. Lactobacillus lactis
  52. Lactobacillus lactis ssp. lactis
  53. Lactobacillus parabuchneri
  54. Lactobacillus paracasei
  55. Lactobacillus parakefir
  56. Lactobacillus parakefiri
  57. Lactobacillus plantarum
  58. Lactobacillus satsumensis
  59. Lactobacillus sp.
  60. Lactobacillus uvarum
  61. Lactococcus cremoris
  62. Lactococcus lactis
  63. Lactococcus lactis ssp. cremoris
  64. Lactococcus lactis ssp. lactis
  65. Lactococcus lactis ssp. lactis biovar diacetylactis
  66. Lactococcus sp.
  67. Leuconostoc lactis
  68. Leuconostoc mesenteroides
  69. Leuconostoc paramesenteroides
  70. Leuconostoc pseudomesenteroides
  71. Leuconostoc sp.
  72. Naumovozyma sp.
  73. Pelomonas sp.
  74. Pichia guilliermondii
  75. Pichia kudriavzevii
  76. Pseudomonas sp.
  77. Saccharomyces cerevisiae
  78. Saccharomyces sp.
  79. Saccharomyces turicensis
  80. Saccharomyces unisporus
  81. Saccharomycodes sp.
  82. Shewanella sp.
  83. Streptococcus durans
  84. Streptococcus sp.
  85. Streptococcus thermophilus
  86. Weissella sp.
  87. Zygosaccharomyces sp.

Comments from Social Media

Border Walls in the Human

There are two border walls that can be important to health, we will used these terms:

  • increased intestinal permeability or IIP (often called Leaky Gut, but note: “Leaky gut syndrome is a hypothetical condition that’s not currently recognized as a medical diagnosis.”[src])
  • bloodbrain barrier permeability or BBBP

The first is an indicator of the availability of bacteria, fungi, chemicals, etc. to move from the intestines into the body/blood. The second is the ability of bacteria, fungi, chemicals, etc. to enter the brain. Both are important — the latter with neurological conditions (for example brain fog, autism, etc).

IIP – Increased Intestinal Permeability

This is usually associated with the Zonulin protein.

Zonulin is a protein modulator of intercellular tight junctions. It has been shown to induce a significant and reversible increase in gastroduodenal and small intestinal permeability and is involved in tolerance/immune response balance. The hybridization of wheat to dramatically increase gluten (gliadin) content and its overconsumption, multiple times a day, every day, in the typical diet, chronically disrupts this tolerance/immune response balance.

Michael T. Murray ND, John Nowicki ND, in Textbook of Natural Medicine (Fifth Edition), 2020

Zonulin is a member of the MASP (mannose‐binding lectin‐associated serine protease) family of proteins, and elevated serum zonulin levels have been reported in a number of neurological conditions such as multiple sclerosis 7 and Alzheimer’s disease. 8 

Zonulin and blood-brain barrier permeability are dissociated in humans [2022]

There is a massive number of studies, speculations, and theories on addressing this issue, especially theories on fixing leaky gut. One example:

BBBP – blood–brain barrier permeability

First, we need to be aware that they are different: Zonulin and blood-brain barrier permeability are dissociated in humans [2022]. For a general discussion, see A blood–brain barrier overview on structure, function, impairment, and biomarkers of integrity [2020]

Some studies that are of special interest:

When dealing with neurological issues when there is a choice of several different substances, I have looked up the molecular weight and advocated for the lower molecular weight choice. For illustration,

  • Acetylcysteine (N-acetylcysteine) has a weight of 163.19
  • Minocycline has a weight of 457.5
  • Azithromycin has a weight of 785
  • Amoxicillin has a weight of 365.4
  • Piracetam has a weight of 142 (this is a fast acting nootropic that clears brain fog in minutes for some people).
  • Resveratrol 228, Quercetin 302, Curcumin 368, Aspirin 180

It is an easy way to do quick evaluation— for example, I would expect Resveratrol to have a greater effect on brain function than Curcumin, with Aspirin having a still greater potential effect.

Bottom Line

The purpose of this post is frame questions that may be relevant to you — and not provide general answers.

Revisiting old data/post with latest tool set

A reader reminded me of A short ME/CFS/MCS remission with microbiome samples [2019], which used uBiome. The toolset has changed a lot since those days, so I thought it would be a good learning activity to look at the samples with the new tools.

The person had a short remission from ME/CFS after:

Analysis

The table below shows about the same number of bacteria identified but with an increase in the number of bacteria at extreme values. Condition Est. had a dramatic drop which would agree with the remission. We also see a dramatic drop in extreme Enzymes and Compounds.

In my humble opinion, it suggests that reducing extremes of enzymes and compounds is a desired objective goal.

CriteriaCurrent SampleOld Sample
Lab Read Quality9.18.1
Bacteria Reported By Lab327303
Bacteria Over 99%ile85
Bacteria Over 95%ile3822
Bacteria Over 90%ile7056
Bacteria Under 10%ile3821
Bacteria Under 5%ile2411
Bacteria Under 1%ile85
Lab: uBiome
Rarely Seen 1%31
Rarely Seen 5%264
Pathogens2624
Outside Range from JasonH77
Outside Range from Medivere1616
Outside Range from Metagenomics88
Outside Range from MyBioma1111
Outside Range from Nirvana/CosmosId1616
Outside Range from XenoGene3131
Outside Lab Range (+/- 1.96SD)1617
Outside Box-Plot-Whiskers12278
Outside Kaltoft-Møldrup156102
Condition Est. Over 99%ile00
Condition Est. Over 95%ile01
Condition Est. Over 90%ile111
Enzymes Over 99%ile00
Enzymes Over 95%ile5032
Enzymes Over 90%ile14894
Enzymes Under 10%ile80246
Enzymes Under 5%ile4550
Enzymes Under 1%ile61
Compounds Over 99%ile3182
Compounds Over 95%ile16465
Compounds Over 90%ile27535
Compounds Under 10%ile81319
Compounds Under 5%ile76237
Compounds Under 1%ile7270

Spot Checking Specific Bacteria Shifts

The more extreme bacteria shifts are shown below. The drop of Faecalibacterium levels was likely due to the drop of lactic acid produced by Lactobacillus [Metabolic Response of Faecalibacterium prausnitzii to Cell-Free Supernatants from Lactic Acid Bacteria 2020]. Given that the person has a ME/CFS diagnosis, my thoughts point to the massive reduction of Lactobacillus caused by Amoxicillin and Clavulanate resulting in a drop of lactic acid (see Lactic Acidosis in ME/CFS). While the bacteria producing lactic acid may be killed, it takes time for the system to clear it. Some sources cite a half life of 18 hours in the body[src]. The VSL#3 may be incidental or may have contributed to the remission ending.

BacteriaNewest Percentile(Percentage)Older Percentile(Percentage)
(genus) Alistipes31 (0.9%)89 (5.7%)
(genus) Anaerococcus97 (1.8%)62 (0.08%)
(genus) Bifidobacterium87 (3.6%)96 (7.3%)
(genus) Erysipelatoclostridium99 (3.9%)69 (0.7%)
(genus) Faecalibacterium19 (3.9%)51 (12.1%)
(genus) Finegoldia99 (3.5%)68 (0.1%)
(genus) Intestinibacter79 (0.4%)97 (2.4%)
(genus) Klebsiella91 (1.3%)none
(genus) Kluyvera89% (1.8%)none
(genus) Lactobacillus67 (0.01%)97 (3.5%)
(genus) Megasphaera96 (2.6%)76 (0.01%)
(genus) Parabacteroides95 (7.0%)81 (3.5%)
(genus) Streptococcus99 (7.3%)13 (0.003%)

Bottom Line

Short term remission causes are often difficult to identify the cause. In this patient, the evidence appears to be for a model of Amoxicillin and Clavulanate being effective against existing lactic acid producing species (i.e. Lactobacillus). It takes time for the lactic acid to clear the body. On the flip side, the lactobacillus would start regrowing and producing lactic acid (thus ending the remission).

A compounding factor is “Antibiotic Resistance of LACTOBACILLUS Strains [2019]”

For the subset of people with ME/CFS that improves on antibiotics and then regress; it is likely because the antibiotic suppress (but does not eliminate) lactic acid bacteria which then regrows…

Missing Vitamins, Minerals suggestions

Question:

Quick question—I noticed, for my BiomeSight-via-Ombre sample, that I’m not getting Vitamins, Minerals and similar suggestions. I used to get them on this sample. This only happens when I set the “Everything” option.

Anything I might be doing wrong? I’m generating the suggestions with the KM, Box Plot whisper, and Standard Lab Ranges. Avoiding Special Studies per your recent advice.

Answer: No Reproduction

I did a video to show what I did and the results.

Long time ME/CFS

Hi I’m a 15 year CFS sufferer with severe GI / neuro problems.  I got my second Thryve results recently.  They look really quite normal to me and it says I have significant diversity.  Is there any help / analysis you could provide to help me narrow down if there’s something actionable?  I’m not sure how much capacity you have for that, but it doesn’t hurt to ask.

  And unfortunately have been sick for longer.  Got sick at age 25 with an infection (low grade fever for months), lost 30 pounds, had vision problems, headaches, fatigue and so on.  I was able to work four years in this state but eventually I had much worsening neuro and vision symptoms and was unable to work.  I developed POTS a couple years later and at times was using a walker to get to the bathroom and was bedbound.  I’ve had some episodes of vision loss that are very strokelike in that they debilitated me cognitively and visually for long afterwards (the vision loss itself resolves after some minutes or hours).

I want to emphasize the visual and cognitive impairment are totally debilitating.  I can barely read anything or reliably focus my eyes on anything, and I went from a previously extremely high functioning person to feeling drugged, barely here 24/7.  I have severe eye pain all the time.

So I’ve been sick for really my whole adult life, to varying degrees.  Primary debilitation is visual and cognitive but I have severe physical fatigue, POTS, am 30 pounds underweight, have been diagnosed with gastroparesis years back I just can’t keep the pounds on.  Also it is notable food makes me feel TERRIBLE. Right away I can feel stupid and drugged from it, but also 2-5 hours later is when I ache everywhere and get tired and non-functional.  The 2-5 hours I’m presuming is from some dysbiosis but right away is a little more puzzling.

I clearly have such bad digestion that it is not hard to imagine it is perpetuating my brain / eye / POTS symptoms.  I’ve tried everything under the sun, mainstream and holistic and nothing that is supposed to help the gut helps.  I think fasting gives me some relief but is not practical for someone so underweight.

My first thryve was on January 13, 2020.

My most recent thryve (now ombre) was October 2, 2022.

In between the two times I’ve cycled through several gut protocols, such as taking s boulardii, soil probiotics, bifidobacteria, sourkraut, and polyphenols.  Other times I tried a more killing oriented protocol with oregano oil, berberine, and once based on a stool test a prescription antifungal (sporonox).  I eat a very restricted diet and seem to react to pretty much every food, but I have cycled through different foods in the last couple years.  I’ve tried prebiotics like PHGG and lactulose recently and are finding at least in the short term I am losing weight and have worse neuro symptoms.

My digestion and overall symptoms have not really changed between the two times.  ombre says I have a quite high microbial diversity score which is surprising because I have a massive history of antibiotics.

The request

First Look at the sample

Comparing the samples, I see a much lower quality report (2.5) in 2020. It was interesting to see

  • Bacteria Over numbers drop despite more bacteria is latest sample
  • Bacteria Under numbers grew — which may be due to a better quality of sample (more bacteria)
  • Two of my usual measures showed improvement (despite more bacteria) — Outside Lab Range, Outside Box-Plot-Whiskers while the last one showed an increase which was a smaller percentage than the increase of bacteria reported.
    • My impression is that objectively he appears better than in 2020.
CriteriaJan-20Sep-22
Lab Read Quality2.58.5
Bacteria Reported By Lab442656
Bacteria Over 99%ile102
Bacteria Over 95%ile4510
Bacteria Over 90%ile8823
Bacteria Under 10%ile54154
Bacteria Under 5%ile2194
Bacteria Under 1%ile619
Lab: Thryve
Rarely Seen 1%57
Rarely Seen 5%2837
Pathogens3232
Outside Range from JasonH66
Outside Range from Medivere1616
Outside Range from Metagenomics1010
Outside Range from MyBioma1313
Outside Range from Nirvana/CosmosId1818
Outside Range from XenoGene99
Outside Lab Range (+/- 1.96SD)275
Outside Box-Plot-Whiskers12451
Outside Kaltoft-Møldrup183239
Condition Est. Over 99%ile00
Condition Est. Over 95%ile10
Condition Est. Over 90%ile40
Enzymes Over 99%ile12190
Enzymes Over 95%ile208516
Enzymes Over 90%ile457585
Enzymes Under 10%ile59265
Enzymes Under 5%ile20154
Enzymes Under 1%ile220
Compounds Over 99%ile7324
Compounds Over 95%ile264101
Compounds Over 90%ile368172
Compounds Under 10%ile297265
Compounds Under 5%ile225223
Compounds Under 1%ile62165

In terms of bacteria distribution (not “diversity”). we see an abundance of domineering bacteria (90-99) in the earlier sample which flipped to proliferation of weak bacteria (0-9). Have tons of small amounts of bacteria at low levels should result in a good diversity. The over-representation of these nominal bacteria is a concern to me.

His attempts to change was successful. Ideally we can help more change in the desired direction.

Approach

Using PubMed data, nothing stands out and we have a very short list. This simply means that there is not a good match to the conditions reported there. In terms of Dr. Jason Hawrelak Recommendations we are at 89%ile, so generally good. The main items missing the goals by his criteria are: Faecalibacterium prausnitzii, Lactobacillus, Bifidobacerium and Akkermansia.

Given no strong pattern to match against, I will build a consensus from Lab RangeBox-Plot-Whiskers, Kaltoft-Møldrup and Dr. Jason Hawrelak Recommendations

Consensus – similar to a pattern common with ME/CFS patients

Cross validation to the literature on the above (i.e. seeing if any has been documented to help ME/CFS). Since neurological issues were called out (and I had just done another sample with this recommendation, a few more for Hesperidin)

So all of the top suggestions appear to have documented benefits for various subsets of ME/CFS. I use the term subsets because, while similar in some symptoms, there may be a lot of differences.

We also have the simplified suggestions (with dosages). This list is intended for the brain fog person.

Looking at this list, we see that he should consider using some of the probiotics he cited in his history: bacillus subtilis, bacillus clausii, bifidobacterium (animalis)lactis, bifidobacterium breve bifidobacterium infantis. We also have 3 lactobacillus which seems to often appear with ME/CFS samples: lactobacillus casei, lactobacillus gasseri and lactobacillus salivarius.

In terms of prebiotics, only chitosan was a positive. Selenium shows up as a strong recommended supplement. See the above download for more details.

Very atypically, KEGG probiotics reports very low recommendation values with E.Coli NOT being on the top of the list. I would keep to the above probiotics and ignore the KEGG list because of the low values.

Going over to the last, experimental, modelled food suggestions, Barley was the sole take. In terms of the consensus report, it’s a toss up with different variation being good to take or to avoid. Checking oats by itself, it’s a significant negative so I would exclude the last item below and suggests barley be considered.

Bottom Line

The top suggestions can all be verified in medical literature as helping ME/CFS and the suggestions are based on this individual’s microbiome — hence patient (and not study group) specific. Hopefully he will try them and in 3-4 months do another sample so we can evaluate the change (for better or worse — I want to learn, not be right).

Because of the weight issue, I would suggest trying Pendulum, the akkermansia probiotic. I noticed that it resulted in weight loss for me and recall that is also reported in the literature.

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 appears to 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.

I use modelling and various mathematical technique to estimate forecasts when there is no hard data available.

Blood Status influenced by the microbiome?

The information below comes from Integrated analysis of gut microbiome and host immune responses in COVID-19 [2022]. While the data comes from COVID patients, there is a good chance that it may apply to other conditions. The items below are for the strongest p-values (most likely). My intent is to add all items with a value with a p Value of 0.05 or less as an experimental page, before creating the page I hope people will find similar studies that can be combined with this data. Please add as comments.

Gut_microbesBlood_clinical_featuresCorrelationPvalue
Coprococcus_comesCD8_counts0.731735491.95E-06
Coprococcus_comesCD3_counts0.7142582574.41E-06
Coprococcus_comesLymphocytes_counts0.6497874555.71E-05
Coprococcus_comesCD45_counts0.6470093386.29E-05
Roseburia_intestinalisCD8_counts0.636696048.94E-05
Roseburia_intestinalisCD3_counts0.6198607290.00015457
Roseburia_intestinalisCD45_counts0.6117476250.000199038
Streptococcus_oralisEosinophil_counts0.6030561980.000258997
Gut_microbesOrgan_damage_related_factorsCorrelationPvalue
Akkermansia_muciniphilaCreatine_kinase_isoenzymes0.8895227041.00E-11
Bacteroides_cellulosilyticusCreatine_kinase_isoenzymes0.881775232.63E-11
Streptococcus_oralisGamma_glutamyltransferase0.7884431868.39E-08
Akkermansia_muciniphilaAspartate_Transaminase0.7843689081.08E-07
Bacteroides_cellulosilyticusAspartate_Transaminase0.7660755183.22E-07
Gut_microbesCytokinesCorrelationPvalue
Ruminococcus_gnavusIL170.5134319660.002652723
Klebsiella_pneumoniaeIFNG0.4848013010.004922183
Klebsiella_pneumoniaeIL100.4315828180.01364772
Lachnospira_eligensIL20.3930080180.026072229
Gut_microbesCoagulation_factorsCorrelationPvalue
Enterococcus_duransAPTT0.3582169370.044101648
Enterococcus_faeciumAPTT0.3571526760.044780215
APTT is activated partial thromboplastin time, the time to form blood clots

Xenogene: From Sweet Report to Bad Report

I started Microbiome Prescription site using data uploads from ubiome, a firm that was founded by a crowdfunding campaign, went to venture capitalists, and went unethical due to pressure from venture capitalists and died. I received over 800 samples processed by ubiome.

Readers started to request the microbiome reports to be processed on the Microbiome Prescription site and I started adding them according to constraints of the reports available. BiomeSight.com, a UK firm, has been the most cooperative. We worked together to allow automatic transfers directly from their web site to the Microbiome Prescription site by using a API.

Xenogene | Metagenómica y Biología Molecular Reports were shared to me. I found that I could do an accurate extract from one of the reports they made available to users. The result was that they became the most comprehensive report as see by the statistics below

There were few uploads because of their higher costs. The report that I used is shown below.

They Changed Their Report

Recently I have had two people trying to upload their reports. The report was different than the above. I asked them to contact Xenogene to get the above; they were not successful. I examined their reports (they were several years apart), and found two different formats, as shown below:

While both give the same information, the structure of the page was different. The report do not give the hierarchy, for example, Eubacteriaceae was found in neither report. I looked for Blautia and could find species and strains — but no total, so you cannot apply Dr Jason Hawrelak criteria.

Summing up all of the species and strains under Blautia does not give a correct total, in some cases the Blautia total will be 2x higher. Why, because many strains and species has not received names and / or “fingerprints”.

Example of the synthesis to higher levels… Issues at the species level and below can be identified

Bottom line: I no longer recommend this lab

Despite these issues, I have updated the import to support both of the above PDF formats and synthesize all of the missing layers of the bacteria hierarchy. The new import should be on line by November 13th.

WARNING: the genus level and above may often be low because of the total synthesis.

I did extract their recommended ranges and added it as an option:

Citizen Science Action

I would suggest emailing them and asking them if they make a CSV file available of the results (including the bacteria NCBI taxon number), if so, can you get a sample. If you do not get a positive results, do a return email asking you to be informed if they change and indicating that you are going to use Ombre or Biomesight instead…… The risk of loosing customers can often change business practice.

Microbiome Activism Please!!

This applies not only to Xenogene but

and also these lacking NCBI taxon numbers