Gender based Microbiome Shifts for ME/CFS

A question was ask – are there significant gender differences with ME/CFS. A partial answer is possible from our citizen science data (Available here). The number of bacteria identify as statistical drops because we are reducing sample sizes. The table below shows the shifts that are seen in common with P < 0.01.

For Symptom of ME/CFS

SourceTax_nametax_rankMaleFemaleMale_Chi2FeMale_Chi2
thryveThermodesulfobacteriaphylumincreasesincreases234.0375138.4544
biomesightVerrucomicrobiaceaefamilyincreasesincreases8.3333337.262051
biomesightRhodothermaeotaphylumincreasesincreases179.2217.3071
biomesightAkkermansiaceaefamilyincreasesincreases8.7183789.965634
biomesightErysipelothrix murisspeciesincreasesincreases9.53388910.08333
biomesightAkkermansiagenusincreasesincreases8.7183789.965634
biomesightRhodothermalesorderincreasesincreases179.2217.3071
biomesightAkkermansia muciniphilaspeciesincreasesincreases8.7183789.965634
biomesightErysipelothrixgenusincreasesincreases9.6632899.663289
biomesightRhodothermiaclassincreasesincreases179.2217.3071
biomesightThermodesulfobacteriaphylumincreasesincreases281.1738299.9112

ME/CFS With IBS

We find differences here.

SourceTax_nametax_rankTaxonMaleFemaleMale_Chi2FeMale_Chi2
biomesightSutterellagenus40544decreaseincreases8.33333311.25018
biomesightRhodothermalesorder1853224increasesincreases139.9274114.5716
biomesightDoreagenus189330increasesdecrease18.7516.17875
biomesightRhodothermiaclass1853222increasesincreases139.9274114.5716
biomesightThermodesulfobacteriaphylum200940increasesincreases280.3333187.9779
biomesightSutterellaceaefamily995019decreaseincreases8.33333311.25018
biomesightAlcaligenaceaefamily506decreaseincreases8.3333339.120714
biomesightRhodothermaeotaphylum1853220increasesincreases139.9274114.5716

ME/CFS Without IBS

We found no differences yet (given the sample size)

SourceTax_nametax_rankTaxonMaleFemaleMale_Chi2FeMale_Chi2
biomesightBacteroides fluxusspecies626930increasesincreases7.3551617.910588
biomesightThermodesulfobacteriaphylum200940increasesincreases124.4571170.4624

Irritable Bowel Syndrome

Following up from above and noting that there is a gender bias in incidence, we find some differences

thryveThermodesulfobacteriaphylum200940increasesincreases252.823295.10095
biomesightRhodothermalesorder1853224increasesincreases125.1467110.6182
biomesightRhodothermiaclass1853222increasesincreases125.1467110.6182
biomesightThermodesulfobacteriaphylum200940increasesincreases314.4971174.6182
biomesightRhodothermaeotaphylum1853220increasesincreases125.1467110.6182
biomesightSharpea azabuensisspecies322505increasesincreases16.185266.80625
biomesightSharpeagenus519427increasesincreases16.185266.80625
thryveMycoplasmagenus2093increasesdecrease12.8152420.3229
thryveMycoplasmataceaefamily2092increasesdecrease14.8858120.3229
thryvePhocaeicola vulgatusspecies821increasesdecrease7.89349217.06273
thryveMycoplasmatalesorder2085increasesdecrease14.8858126.01485

Depression

Another condition with a gender association

SourceTax_nametax_rankTaxonMaleFemaleMale_Chi2FeMale_Chi2
thryveThermodesulfobacteriaphylum200940increasesincreases227.7557148.4336
thryveParabacteroides distasonisspecies823decreaseincreases9.11835613.46941
thryveEubacterium oxidoreducensspecies1732decreaseincreases12.995076.76
biomesightRhodothermalesorder1853224increasesincreases121.200291.125
biomesightRhodothermiaclass1853222increasesincreases121.200291.125
biomesightThermodesulfobacteriaphylum200940increasesincreases223.4402189.2431
biomesightRhodothermaeotaphylum1853220increasesincreases121.200291.125
thryveLactobacillus rogosaespecies706562decreasedecrease23.8836812.12781

Symptom: Problems remembering things

This is one of the characteristics of ME/CFS, Long Covid, etc

SourceTax_nametax_rankTaxonMaleFemaleMale_Chi2FeMale_Chi2
thryveThermodesulfobacteriaphylum200940increasesincreases316.4446120.0944
biomesightRhodothermalesorder1853224increasesincreases171.7445133.3333
biomesightRhodothermiaclass1853222increasesincreases171.7445133.3333
biomesightThermodesulfobacteriaphylum200940increasesincreases369.0078289.0992
biomesightOdoribacteraceaefamily1853231increasesincreases12.793117.962632
biomesightRhodothermaeotaphylum1853220increasesincreases171.7445133.3333
biomesightAcetivibriogenus35829decreaseincreases9.18086517.49208
biomesightOdoribactergenus283168increasesincreases9.33494912
biomesightAcetivibrio alkalicellulosispecies320502decreaseincreases9.18086519.95636
biomesightHathewaya histolyticaspecies1498decreaseincreases9.1808657.262051
biomesightHathewayagenus1769729decreaseincreases9.1808657.262051
biomesight[Clostridium] thermoalcaliphilumspecies29349increasesincreases7.356.880909
thryveIntestinimonasgenus1392389decreaseincreases168.552727
thryveIntestinimonas butyriciproducensspecies1297617decreaseincreases16.486469.992258
ubiomeBacteroides sp. EBA5-17species447029increasesdecrease9.0555777.314286

Symptom: Worsening of symptoms with stress.

Another common symptom of ME/CFS

SourceTax_nametax_rankTaxonMaleFemaleMale_Chi2FeMale_Chi2
thryveThermodesulfobacteriaphylum200940increasesincreases282.4023185.22
biomesightThermoanaerobacterales Family III. Incertae Sedisfamily543371decreaseincreases22.004548.491649
biomesightSharpeagenus519427increasesincreases17.5562512.38345
biomesightHathewayagenus1769729decreaseincreases16.9861211.70814
biomesightRhodothermalesorder1853224increasesincreases142.9353188.8704
biomesightHathewaya histolyticaspecies1498decreaseincreases16.9861211.70814
biomesightSharpea azabuensisspecies322505increasesincreases17.5562512.97965
biomesightRhodothermiaclass1853222increasesincreases142.9353188.8704
biomesightThermodesulfobacteriaphylum200940increasesincreases352.2616362.7038
biomesightAcetivibrio alkalicellulosispecies320502decreaseincreases12.658188.491649
biomesightRhodothermaeotaphylum1853220increasesincreases142.9353188.8704
biomesightAcetivibriogenus35829decreaseincreases12.658188.491649

Other Symptoms with Significant Gender Differences in patterns

  • Immune Manifestations: Abdominal Pain
  • Sleep: Unrefreshed sleep
  • Comorbid: High Anxiety
  • General: Fatigue
  • Neurological-Audio: hypersensitivity to noise
  • DePaul University Fatigue Questionnaire : Unrefreshing Sleep, that is waking up feeling tired
  • DePaul University Fatigue Questionnaire : Fatigue
  • Neurocognitive: Brain Fog
  • Neurocognitive: Problems remembering things
  • DePaul University Fatigue Questionnaire : Anxiety/tension
  • General: Myalgia (pain)
  • Immune Manifestations: Constipation
  • Post-exertional malaise: Rapid muscular fatigability,
  • Neuroendocrine Manifestations: Poor gut motility
  • Comorbid: Restless Leg
  • Comorbid: Small intestinal bacterial overgrowth (SIBO)
  • DePaul University Fatigue Questionnaire : Difficulty finding the right word
  • DePaul University Fatigue Questionnaire : Mood swings
  • DePaul University Fatigue Questionnaire : Pain in Multiple Joints without Swelling or Redness
  • Sleep: Problems falling asleep
  • Sleep: Problems staying asleep

ME/CFS Books and MDs

In the family dealing with ME/CFS we were very fortunate in working with now retired folks, (links to MEPedia pages on them). It was 25 years ago.

Also we had significant interaction with

Many support groups provide lists of local MDs that are sympathetic to ME/CFS patients. Typically, they will attempt to do symptom relief, not remediate the underlying cause or do not test outside of their local standards of practice (i.e. testing for associated viral infection, Lyme or rickettsia infections) – independent of insurance coverage or the patient being will to pay.

For example:

The family was extremely fortunate to be covered by the old Microsoft Medical insurance that covered everything that the MD wanted with no deductibles; and we had a MD that was willing to learn and explore.

My recommendations for books are:

Other books can be found here:

Note that the better books are often difficult or impossible to understand due to brain fog (and sometime lack of sufficient education is specific areas)

Determine a Model and if possible, see if there is evidence that the model works

I went with two models for ME/CFS: A hypercoagulation condition (David Berg) and an “occult rickettsia like infection” (Cecile Jadin); today we could call it “post Infection Fatigue Syndrome”. Both were testable (by lab or by reaction to low risk drugs, i.e. an antibiotic often prescribed for Acne) and actionable.

Today, my thinking is that the simplest model is a persistent microbiome dysfunction. This is very testable with direct retail tests; and actionable (using Microbiome Prescription). Often the antibiotics suggestions from Microbiome Prescription mirrors the Jadin approach. The treatment plan works for her models and my microbiome model!

Going with a hypothesis that is not both testable and actionable is not recommended. Take action today incase it works! Leave speculations to researchers trying to get grant money for their special interests.

For examples using my model: see Analysis Posts on Long COVID and ME/CFS

Symptoms and Bacteria appears to be strongly related

It is typical that Microbiome Prediction correctly predicts 80-100% of a person’s dominant symptoms from their microbiome. This implies that the bacteria shifts are causing the symptoms; thus correcting the bacteria shifts may reduce or eliminate symptoms.

Suggested Questionnaire for Evaluating a MD

What testing would you like to do?

Are you going to just provide symptom relief or are you going to search for the underlying cause to eliminate it?

The Remission Biome Project: Tess Falor

For more information on this project see Health Rising post. Both participants has granted me to do a review with their real names. For information about Tess see the Wired Story: How Chronic Illness Patients Are ‘Hacking’ Their Wearables (See Objective evidence — the smart watch dimension for my take). This is the first of a series of posts on this project.

The earliest use of antibiotics for treating ME/CFS that I am aware of, dates from the late 1990’s with articles in  Journal of Chronic Fatigue Syndrome (and conference reports prior)

My remission from ME/CFS was done by combining C.L. Jadin protocol with Dave Berg anticoagulant protocol.

Overview of results

First, let us show the numbers and then talk about them. It is clear that there are significant changes. There are a lot of dimensions to consider.

Criteria2-Mar9-Mar21-Mar3-Apr16-Jun
Shannon Diversity Index (Percentile)85.279.099.872.416.0
Simpson Diversity Index (Percentile)72.663.464.477.091.4
Chao1 Index (Percentile)65.731.277.262.97.9
Lab Read Quality8.98.764.54.4
Bacteria Reported By Lab654533725585389
Bacteria Over 99%ile24301124
Bacteria Over 95%ile1310703338
Bacteria Over 90%ile25231036355
Bacteria Under 10%ile287213123113140
Bacteria Under 5%ile253173664896
Bacteria Under 1%ile21913517846
Lab: BiomeSight
Rarely Seen 1%1313856
Rarely Seen 5%2891071729
Pathogens3631504036
Outside Range from JasonH66998
Outside Range from Medivere1515222222
Outside Range from Metagenomics77999
Outside Range from MyBioma55666
Outside Range from Nirvana/CosmosId2626181815
Outside Range from XenoGene2828464642
Outside Lab Range (+/- 1.96SD)68561727
Outside Box-Plot-Whiskers44361247067
Outside Kaltoft-Moldrup233169207137170
Condition Est. Over 99%ile00131048
Condition Est. Over 95%ile10243575
Condition Est. Over 90%ile22345584
Enzymes Over 99%ile00347606957
Enzymes Over 95%ile706359701145
Enzymes Over 90%ile242874611591228
Enzymes Under 10%ile506515561237245
Enzymes Under 5%ile378360422143174
Enzymes Under 1%ile1941661205294
Compounds Over 99%ile00225215617
Compounds Over 95%ile20355410732
Compounds Over 90%ile811441520778
Compounds Under 10%ile12439861105902822
Compounds Under 5%ile11569261032856796
Compounds Under 1%ile1115875936828767

Next are the percentages by percentile which I noticed tend to have over representation with ME/CFS and Long COVID in the 0-9 percentile. We see this pattern at the start, with improvement and then a bounce back to high numbers.

2-Mar2-Mar9-Mar9-Mar21-Mar21-Mar3-Apr3-Apr16-Jun16-Jun
PercentileGenus%Genus%Genus%Genus%Genus%
0 – 96540%5136%2815%2919%3536%
10-19138%1611%3619%2315%99%
20 – 29117%1611%2011%2315%1414%
30 – 3953%96%179%1711%44%
40 – 49138%107%148%117%55%
50 – 59127%86%105%85%33%
60 – 69127%96%63%149%11%
70 – 79127%32%105%64%55%
80 – 89106%107%158%96%77%
90 – 99117%86%3016%1510%1515%
Total164 140 186 155 98 
2-Mar2-Mar9-Mar9-Mar21-Mar21-Mar3-Apr3-Apr16-Jun16-Jun
Percentile%Species%Species%Species%Species%Species
0 – 941%9443%7913%4017%3621%31
10-196%149%1615%4413%289%13
20 – 298%189%1613%3912%2715%22
30 – 393%75%1010%2910%228%11
40 – 497%174%77%208%176%9
50 – 599%215%97%226%125%7
60 – 696%148%143%106%146%9
70 – 798%184%76%197%156%9
80 – 896%138%158%238%1710%14
90 – 995%126%1119%5713%2914%21
Total 228 184 303 217 146

The Events Around the above Samples

  • 2023-03-02 (baseline)
  • 2023-03-09 (during a stomach bug)
  • 2023-03-21 (during a “Level 1” remission while taking Amoxiclav. Level 1 = all symptoms gone. Felt great. Had started Amoxiclav on the morning of 3/20, this sample was taken after 3 doses around 3pm)
  • 2023-04-03 (4 days after stopping Amoxiclav, was on Doxycycline)
  • 2023-06-16 (During 2nd round of Amoxiclav when I felt really bad)

The microbiome results definitely reflected the Level 1 remission on 3-21. The low percentile genus and species percentage almost made it to the target level of 10% from the prior 40%! The Shannon Diversity Index was awesome (the higher the better!).

I have often described correcting the microbiome as being similar to sailing a sailboat along a coast line. Depending on wind and tide, there may be a lot of course changes required. I am curious on the ranking of Amoxiclav[amoxicillin] and Doxycycline with these samples. The numbers below suggests that going on to Doxycycline may have been a poor choice. On the 2nd round of Amoxiclav, it was at just 35% of the highest value recommendation versus 70% on the 1st round.

Criteria2-Mar9-Mar21-Mar3-Apr16-Jun
Amoxicillin280159210560384
Doxycycline3.767260-27-141
Highest40235410109121050
Best Antibioiticrifaximintriclosanrifampicinimipenemimipenem

Note that rifaximin and rifampicin are in the same family and used by some ME/CFS specialists. Imipenem shows up often with ME/CFS samples — but since it is intravenous, not the easiest to get on an ongoing basis.

Take Away and Reflections

This project main purpose was to show that remission can be triggered by antibiotics to another generation of people suffering from ME/CFS. The remission on 21-Mar demonstrates this to be correct both subjectively and objectively (Microbiome data — specifically Shannon Diversity Index and Percentages in different percentiles for Species and Genus). I should emphasis that both of these measures are multi-bacteria measures and do not support the common myth that ME/CFS is caused by a single bacteria.

The critical issue is maintaining remission. How do keep the microbiome where it should be. I often use analogies of cities because we are talking about a city of bacteria. To stop riots and looting in the streets you send in the National Guard (antibiotic). The city is back to normal. The causes of the the riots are still there. Typically lack of opportunities, neglect, etc. in these same ghettos. You must address these other issues. A repeat of sending in the National Guard may have the same effect as the first time OR very different effects – the same can be said for using the same antibiotics.

With bacteria we have two “radical organizations in the ghetto” — The Antibiotic resistant and the Resistors. For example, the bacteria that survive learnt how to avoid the National Guard and proceed to share that skill to other bacteria. Instead of a wall of shields pushing the rioters back, Molotov cocktails rain down on the troops from above.


Another analogy is that the gut is a pendulum. The antibiotics, probiotics and other items pushes the gut towards the equilibrium position! There is great joy! The gut is centered… At this point, many people go down the wrong reasoning path — “Keep doing more of the same to stay in remission!“. Remission is lost and the momentum pushes the guts out to the other side!!! You pushed out one devil and seven more devils return! (Math 12:43-45)

The key is to dampen down the swing so there is less and less swing. My personal opinion is that Cecile Jadin’s protocol using antibiotics for only 7 days each month is a very effective way of dampening the pendulum gained from decades of experience.


My approach with Microbiome Prescription is to try to address the whole city. Before taking action, we get intelligence on the nature of the city and decide on the appropriate action for a period of time (typically 4-10 weeks). We then update our intelligence (i.e. microbiome test) and pick the next course of action. Actions may include “food kitchens”, “safe injection sites”, “training programs”, “home repairs”, “on the beat policing”, etc.

There are many people who will state that antibiotics gave me ME/CFS. I do not disagree. Antibiotics can also trigger remission — the problem is WHICH antibiotics. Since every person’s microbiome is unique, there can be no universal “best antibiotic” for ME/CFS. Antibiotics must be selected based on the individuals microbiome (which is the path that Microbiome Prescription took) for the best odds of making the right choice.

My Suggestions Going Forward

I am working with C.L. Jadin, M.D., on documenting her current protocol from almost 30 years of experience using antibiotics for ME/CFS. It will be out soon. I am hoping to have that available within a month. One key aspect of her protocol has been pulsing antibiotics using two at a time. There are a few studies showing that pulsing is more effective. Pulsing often means 7 days on and 21 days off.

Looking at Tess’s last sample, I would propose the following to be considered (items that I picked from the consensus suggestions):

In terms of things to stop (if doing)

Use the Dosages for Supplements for guidance on dosages!

The Human Behavior Problem

A common pattern of people is “Just give me a pill to fix me, I want to keep my current life style and I am not prepared to make significant life style and diet changes”. My impression is that making those changes is often required. Inertia is a real maintainer of ME/CFS, especially the pendulum inertia when trying to heal.

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 can compute items to take, those computations do not provide information on rotations etc.

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.

The Remission Biome Project: Tamara Romanuk

For more information on this project see Health Rising post. Both participants has granted me to do a review with their real names. This is the second of a series of posts on this project, the first one was on The Remission Biome Project: Tess Falor.

Connected with review, you may wish to read Dr. Jadin’s Current Protocol for ME/CFS – Microbiome Prescription Blog, parts are being consider for incorporation into the Remission Biome Projects

The earliest use of antibiotics for treating ME/CFS that I am aware of, dates from the late 1990’s with articles in  Journal of Chronic Fatigue Syndrome (and conference reports prior)

My remission from ME/CFS was done by combining C.L. Jadin protocol with Dave Berg anticoagulant protocol.

A big thanks to BiomeSight.com for donating some testing kits to the project. If interested in using their kits, there is a discount code (“micro”).

Overview of results

First, let us show the numbers and then talk about them. It is clear that there are significant changes. There are a lot of dimensions to consider. Some highlights:

  • The number of bacteria with abnormally high representation has gone from 123 down to 29
  • The number of bacteria with abnormally low representation has gone from 222, dropping down to as low as 19, before rebounding to 162 (still better than the start)
  • Most measure showed great improvement and then some relapse.
Criteria7-Mar23-Mar15-Apr22-Apr29-Apr
Shannon Diversity Index33.878.097.176.577.1
Simpson Diversity Index0.765.158.660.373.4
Chao1 Index91.361.672.089.414.8
Chi-Square (Lower is better)5547465030
Lab Read Quality8.67.15.42.26.9
Bacteria Reported By Lab755638628765461
Bacteria Over 99%ile271113565
Bacteria Over 95%ile72253010518
Bacteria Over 90%ile132466317829
Bacteria Under 10%ile2222186219162
Bacteria Under 5%ile1911951812144
Bacteria Under 1%ile17717903112
Lab: BiomeSight
Rarely Seen 1%843662
Rarely Seen 5%22242712814
Pathogens3932333129
Outside Range from JasonH88888
Outside Range from Medivere1818161616
Outside Range from Metagenomics99666
Outside Range from MyBioma1010666
Outside Range from Nirvana/CosmosId1818121212
Outside Range from XenoGene5252393939
Outside Lab Range (+/- 1.96SD)431517367
Outside Box-Plot-Whiskers146518322743
Outside Kaltoft-Moldrup251189105212158
Condition Est. Over 99%ile15003
Condition Est. Over 95%ile2140513
Condition Est. Over 90%ile112821121
Enzymes Over 99%ile76851937
Enzymes Over 95%ile22281209123250
Enzymes Over 90%ile58435361317409
Enzymes Under 10%ile2193545948201
Enzymes Under 5%ile1732653424144
Enzymes Under 1%ile13894131279
Compounds Over 99%ile34411316
Compounds Over 95%ile15186826887
Compounds Over 90%ile27297154153183
Compounds Under 10%ile882889985987875
Compounds Under 5%ile862859959963841
Compounds Under 1%ile845802935952820

As with Tess, the percentages by percentile which I noticed tend to have over representation with ME/CFS and Long COVID in the 0-9 percentile. We see this pattern at the start, with improvement and then a bounce back to high numbers in the last sample

Tamara suggested that I convert the tables below to charts. Both are now available on the site.

Pretty Pictures

Tamara suggested that I convert the tables below to charts. Both are now available on the site.

First, an old sample that she happened to have where we see Chi-Square at 6. The first of the recent samples had it jumping to 55, A normal microbiome is expected to have a Chi-square < 13. A higher value indicates a statistically significant, abnormal microbiome.

The next three show the changes with antibiotics. Chi-square went from 46 to 50 with a dramatic shift and then drifted down to 30.

The latest sample increased upward again, with the pronounced spikes that are common with ME/CFS being there.

The raw numbers are also shown. I will spare your eyes by omitting them.

The Events Around the above Samples

  • 7 Mar – Before
  • 23 Mar – Day 4 AmoxClav
  • 15 Apr – More
  • 22 Apr – Final Day of AmoxClav (30 days of AC)
    • This sample has a low Lab Read Quality, this may account for the number of spikes in its report.
  • 29 April – After 3 days of Aprepitant + Erythromycin (this was a BIG difference from Tess and was the intervention that seemed to give me the baseline increase this time).

As with Tess, let us see how these items rank in each sample. As with Tess, imipenem is the most common best suggestion.

Criteria7-Mar23-Mar15-Apr22-Apr29-Apr22-May
Amoxicillin-10495276296432402
Erythromycin59253340236222228
Aprepitant 39329726032028080
Highest632497635610650594
cefaclor hydrateimipenemimipenemimipenemcefoxitincefoxitin

Going Forward

As a result of a conference call with some of the Remission Biome Project, and Dr. Jadin’s Current Protocol for ME/CFS. I annotated all of the antibiotics used in studies for ME/CFS, Lyme, and related conditions with [CFS]. This allows us to quickly see the “consensus” antibiotics (i.e. used in studies and suggested by microbiome prescription algorithms).

The top ones are shown before (Just enter “CFS” in the Search dialog)

Only two of these were negative for her (doxycycline and ampicillin) with docycline sibling, minocycline being just 21).

I would suggest using this list to pick 2 antibiotics to do a one week course and then take a 3 week break. After the course, then do some of these probiotics. I am inclined to omit L.Casei because the strain used in Yakult is a negative. Thus we end up with these three as top suggestions. P.S.

Note the weight of these are above many of the antibiotics above. I usually advocate single species. The Bifido is available from Custom Probiotics with their recommended dosages above the amount listed above.

Part Deux — More Samples!

Her description of subjective changes: generally keep improving in terms of PEM, function etc. (was definitely a dip around the 2nd ‘constipation’ sample)

  • 1st, [2023-06-14] in the series just a temporal sample, no additional treatments
  • 2nd, [2023-07-15] in the series I had a major episode of constipation – wanted to catch that 
  • 3rd, [2023-07-20]last one was was post my 2nd treatment of aprepitant+erythromycin

Sample Comparison

We include the prior one above for easy reference). The key change items are:

  • The new Anti inflammatory Bacteria Score has seen a dramatic increase from 17%ile to 73%ile. The four prior samples were 7.6%ile, 8.2%ile, 3.9%ile and 6.9%ile
  • Outside Kaltoft-Moldrup is dropping. In terms of %age of reported: 32% -> 28% -> 29% ->16%
  • The high and low Enzymes also seem to be dropping
  • The last sample had a Chi-Square of 9, that is a probability of 0.54 instead of the .9999999… for all other samples. Unfortunately, the poor read quality makes this fuzzy.
  • Note: The last sample has a low read quality (thus less bacteria types are being reported)
Criteria22-May14-Jun15-Jul22-Jul
Shannon Diversity Index69.429.2043.0015.00
Simpson Diversity Index54.77.6027.5060.00
Chao1 Index72.40.8721.408.30
Anti inflammatory Bacteria Score17.030.9043.6073.20
Chi-Square Score4951329
Lab Read Quality7.210.96.62.3
Bacteria Reported By Lab659752512375
Bacteria Over 99%ile101214
Bacteria Over 95%ile2224220
Bacteria Over 90%ile45411339
Bacteria Under 10%ile19922918919
Bacteria Under 5%ile1862081843
Bacteria Under 1%ile1671651660
Lab: BiomeSight
Rarely Seen 1%251300
Rarely Seen 5%493771
Pathogens32343621
Outside Range from JasonH4774
Outside Range from Medivere14191914
Outside Range from Metagenomics6776
Outside Range from MyBioma4664
Outside Range from Nirvana/CosmosId18191918
Outside Range from XenoGene33343433
Outside Lab Range (+/- 1.96SD)1112113
Outside Box-Plot-Whiskers56752350
Outside Kaltoft-Moldrup20921215061
Condition Est. Over 99%ile0010
Condition Est. Over 95%ile0010
Condition Est. Over 90%ile1030
Enzymes Over 99%ile62152
Enzymes Over 95%ile13031811
Enzymes Over 90%ile215129933
Enzymes Under 10%ile429211171304
Enzymes Under 5%ile310146142211
Enzymes Under 1%ile152857347
Compounds Over 99%ile31031
Compounds Over 95%ile642911
Compounds Over 90%ile10674824
Compounds Under 10%ile959109610091015
Compounds Under 5%ile9091041981971
Compounds Under 1%ile8601009956922

Since we had a symptom of constipation, let us see how well the samples match that reported from Studies on PubMed — there were no matched. When we went to our Special Studies, we see that the microbiome followed the reported symptoms. We then look at the top value from Special Studies — which was Long COVID for all samples. We see the lost of ground around the constipation and then regaining the progress.

Criteria22-May14-Jun15-Jul22-Jul
Special Studies7%ile14%ile15%ile7%ile
Top Item
Long COVID
 35 %44 % 41 %36 %

Next we go and look at aprepitant and erythromycin

Criteria22-May14-Jun15-Jul20-Jul
Aprepitant80.4113.7205.8169.9
Erythromycin227.5-76.8 226.7194
Best CFS antibiotic
Priority / Max Priority
metronidazole
430 /549
lymecycline
176 /307
amoxicillin
424 / 527
amoxicillin
351 / 484

The Percentage of Percentile show quite a shift — unfortunately, it is unclear if this is a temporary after effect of constipation, poor lab read quality, or the above aprepitant and erythromycin. The next sample may resolve this issue.

Is the Project working — YES

We are seeing both subjective improvement and object improvements.

Personally, I like what appears to be a shift towards Cecile Jadin’s approach — not continuous antibiotics but a course (7-10 days) followed by a break (ideally 3 weeks). Often I find that ME/CFS people tend to be impatient and just want to keep pressing on hard… which I have observed often result in tripping and rolling down the hill to where they were (or worst).

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 can compute items to take, those computations do not provide information on rotations etc.

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.