Overview of this Blog and the Microbiome

My ideas on this blog have evolved, as more and more information becomes available. This post is an attempt to bring readers up to date with my current thinking. I am striving to be transparent in my logic — showing the evidence I am working from, and my thought processes.

Notes to Treating Physicians

Analysis of Microbiome/stool with recommendations

Site: has moved to http://microbiomeprescription.azurewebsites.net

Microbiome Definition of CFS/FM/IBS

A condition that results from:

  • Low or no Lactobacillus
  • Low or no Bifidobacteria
  • Low or no E.Coli
  • A marked increase in number of bacteria genus (as measured by uBiome) to the top range
    • Most of these genus are hostile to/surppress Lactobacillus, Bifidobacteria, E.Coli
    • Several are two or more times higher than normally seen
    • The number of bacteria genus goes very high (using uBiome results), but most of them are low amounts.
      (“Death by a thousand microbiome cuts” and not “Death by a single bacteria blow”)
  • The appearance of rarely seen bacteria genus in uBiome Samples.

The specific genus and their interactions determine the symptoms seen — likely due to the over- or under-production of metabolites (chemicals). Other autoimmune conditions may share these core shifts. The specific high and low bacteria determine the symptoms if the person was the DNA/SNP associated with the symptoms.

Replace the metabolites produced by the missing bacteria

Replacing the metabolites should result in the reduction of symptoms associated with a deficiency of these metabolites.

See this post for the study references. These items should/could be done continuously.

Other Supplements Reported to Help

Bootstrapping Bifidobacterium and Lactobacillus

The items below were found in studies to increase bifidobacterium and lactobacillus:

Unless the bifidobacterium and lactobacillus (B&L) are human sourcedthere is almost zero chance of taking up residency. Taking probiotics will not allow B&L to get established. In fact, there are grounds to believe that most commercial probiotics actually reduce your  native B&L. You want to encourage your native B&L. See this post for citations.

Bootstrapping E.Coli

The E.Coli probiotics below are human sourced and known to take up residency in the human gut.

  • Core: D-Ribose a preferred food that it uses
  • Mutaflor probiotics — E.Coli Nissle 1917
  • Symbioflor 2 — multiple strains

Dealing with the other microbiome shifts

The other microbiome shifts appear to be in different clusters of microbiome shifts. This 2017 paper by Peterson, Klimas, Komaroff, Lipkin (and a stack of other CFS researchers) makes that clear in its title: “Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome”.

The best way at present to proceed is to order an analysis from uBiome. (Disclosure: I have no financial interest in this company.) When your get your results back, log in, click on the “Compare” tab, then go to “Genus,” and click on “ratio” twice, so the results are in descending order.

This is the “hit list” of what you are trying to reduce. DataPunk provides a nice summary of what we know about these. See, for example, Alistipes:

At this point, we run into a logistical challenge.  You want to avoid items that are “Enhanced By” (which is in common across all of the high items) and take the items that are “Inhibited By” (which are not on any of the “Enhanced By” lists).  You may also wish to reduce foods that are high in items listed in “Nutrients/Substrates.”  It becomes a jig-saw puzzle! I have done this exercise for many readers’ uBiome results:

  • https://cfsremission.com/2017/09/11/ubiomes-before-and-after-a-fecal-microbiota-transplant/
  • https://cfsremission.com/2017/09/03/ubiome-result/
  • https://cfsremission.com/2017/09/18/another-ubiome-review-with-bifidobacteria-overgrowth/
  • https://cfsremission.com/2017/08/27/ubiome-of-a-mcs-with-cfs-person/

I have discovered that DataPunk is not absolutely current, and have started creating posts based on its data, and then added studies from 2016 and 2017 to the page. Current pages are below (I will add more links as I research other genus)

  • Acetitomaculum: https://cfsremission.com/2017/11/14/decreasing-acetitomaculum-genus/
  • Acidaminococcus: https://cfsremission.com/2017/11/01/reducing-acidaminococcus-genus/
  • Actinobaculum: https://cfsremission.com/2017/10/21/decreasing-actinobaculum-genus/
  • Actinomyces: https://cfsremission.com/2017/11/25/reducing-actinomyces-genus/
  • Adlercreutzia: https://cfsremission.wordpress.com/2017/10/14/decreasing-adlercreutzia-genus/
  • Akkermansia: https://cfsremission.com/2017/10/14/decreasing-akkermansia-genus/
  • Alistipes: https://cfsremission.com/2017/10/09/decreasing-alistipes-genus/
  • Anaeroplasma: https://cfsremission.com/2017/11/11/decreasing-anaeroplasma-genus/
  • Anaerosinus: https://cfsremission.com/2017/11/29/reducing-anaerosinus-genus/
  • Anaerotruncus: https://cfsremission.com/2017/11/19/reducing-anaerotruncus-genus/
  • Anaerostipes:   https://cfsremission.com/2017/10/07/decreasing-anaerostipes-genus/
  • Bacteroides: https://cfsremission.com/2017/10/20/decreasing-bacteroides-genus/
  • Barnesiella: https://cfsremission.com/2017/10/15/decreasing-barnesiella-genus/
  • Bilophila:   https://cfsremission.com/2017/10/14/decreasing-bilophila-genus/
  • Blautia:   https://cfsremission.com/2017/10/29/reducing-blautia-genus/
  • Brevundimonas:   https://cfsremission.com/2017/11/04/decreasing-brevundimonas-genus/
  • Butyricimas:  https://cfsremission.com/2017/10/14/decreasing-butyricimonas-genus/
  • Butyrivibrio Crossotus:  https://cfsremission.com/2017/12/15/increasing-butyrivibrio-crossotus/
  • Caldicoprobacter: https://cfsremission.com/2017/10/15/decreasing-caldicoprobacter-genus/
  • Candidatus Stoquefichus: https://cfsremission.com/2017/11/30/reducing-candidatus-stoquefichus-genus/
  • Catenibacterium: https://cfsremission.com/2017/11/18/reducing-catenibacterium-genus/
  • Citrobacter Freundii: https://cfsremission.com/2017/12/11/reducing-citrobacter-freundii/
  • Collinsella: https://cfsremission.com/2017/10/10/decreasing-collinsella-genus/
  • Coprobacter: https://cfsremission.com/2017/11/06/decreasing-coprobacter-genus/
  • Clostridium :  https://cfsremission.com/2017/10/07/decreasing-clostridium-genus/
  • Cronobacter:  https://cfsremission.com/2017/10/21/decreasing-cronobacter-genus/
  • Desulfovibrio:  https://cfsremission.com/2017/11/05/decreasing-desulfovibrio-genus/
  • Dialister:  https://cfsremission.com/2017/11/05/reducing-dialister-genus/
  • Dorea :  https://cfsremission.com/2017/10/18/reducing-dorea-genus/
  • Eggerthella: https://cfsremission.com/2017/10/19/decreasing-eggerthella-genus/
  • Eisenbergiella: https://cfsremission.com/2017/11/25/reducing-eisenbergiella-genus/
  • Enterococcus: https://cfsremission.com/2017/10/29/reducing-enterococcus-genus/
  • Enterorhabdus: https://cfsremission.com/2017/11/05/reducing-enterorhabdus-genus/
  • Erysipelatoclostridium: https://cfsremission.com/2017/11/14/decreasing-erysipelatoclostridium-genus/
  • Faecalibacterium: https://cfsremission.com/2017/10/11/reducing-faecalibacterium-genus/
  • Flavobacterium:
  • Flavonifractor: https://cfsremission.com/2017/11/05/reducing-flavonifractor-genus/
  • Fusicatenibacter: https://cfsremission.com/2017/11/03/decreasing-fusicatenibacter-genus/
  • Gelria: https://cfsremission.com/2017/12/22/reducing-gelria-genus/
  • Gordonibacter: https://cfsremission.com/2017/10/09/decreasing-gordonibacter-genus/
  • Granulicatella: https://cfsremission.com/2017/11/25/reducing-granulicatella-genus/
  • Haemophilus: https://cfsremission.com/2017/11/19/reducing-haemophilus-genus/
  • Herbaspirillum: https://cfsremission.com/2017/10/12/reducing-herbaspirillum-genus/
  • Hespellia: https://cfsremission.com/2017/11/05/reducing-hespellia-genus/
  • Hydrogenoanaerobacterium: https://cfsremission.com/2017/12/22/reducing-hydrogenoanaerobacterium-genus/
  • Intestinibacter: https://cfsremission.com/2017/12/22/reducing-intestinibacter-genus/
  • Intestinimonas: https://cfsremission.com/2017/11/05/reducing-intestinimonas-genus/
  • Johnsonella: https://cfsremission.com/2017/11/04/decreasing-johnsonella-genus/
  • Kluyvera: https://cfsremission.com/2017/10/31/reducing-kluyvera-genus/
  • Lachnospira: https://cfsremission.com/2017/11/03/reducing-lachnospira-genus/
  • Lactonifactor: https://cfsremission.com/2017/11/29/reducing-lactonifactor-genus/
  • Leuconostoc: https://cfsremission.com/2017/10/26/reducing-leuconostoc-genus/
  • Marvinbryantia: https://cfsremission.com/2017/11/06/decreasing-marvinbryantia-genus/
  • Megasphaera: https://cfsremission.com/2017/11/18/reducing-megasphaera-genus/
  • Mitsuokella: https://cfsremission.com/2017/12/21/reducing-mitsuokella-genus/
  • Moryella: https://cfsremission.com/2017/11/11/decreasing-moryella-genus/
  • Odoribacter: https://cfsremission.com/2017/10/19/decreasing-odoribacter-genus/
  • Oscillospira: https://cfsremission.com/2017/10/15/decreasing-oscillospira-genus/
  • Oxalobacter-formigenes: https://cfsremission.com/2017/12/15/increasing-oxalobacter-formigenes/
  • Papillibacter: https://cfsremission.com/2017/11/06/decreasing-papillibacter-genus/
  • Parabacteroides: https://cfsremission.com/2017/10/17/decreasing-parabacteroides-genus/
  • Paraprevotella:https://cfsremission.com/2017/11/28/decreasing-paraprevotella-genus/
  • Parasutterella: https://cfsremission.com/2017/10/19/decreasing-parasutterella-genus/
  • Peptococcus: https://cfsremission.com/2017/11/28/decreasing-peptococcus-genus/
  • Peptoclostridium: https://cfsremission.com/2017/11/18/reducing-peptoclostridium-genus/
  • Phascolarctobacterium: https://cfsremission.com/2017/11/12/decreasing-phascolarctobacterium-genus/
  • Planomicrobium: https://cfsremission.com/2017/10/21/decreasing-planomicrobium-genus/
  • Prevotella: https://cfsremission.com/2017/10/14/decreasing-prevotella-genus/
  • Pseudoflavonifractor:https://cfsremission.com/2017/11/19/reducing-pseudoflavonifractor-genus/
  • Pseudobutyrivibrio: https://cfsremission.com/2017/10/15/decreasing-pseudobutyrivibrio-genus/
  • Robinsoniella: https://cfsremission.com/2017/10/12/decreasing-robinsoniella-genus/
  • Romboutsia: https://cfsremission.com/2017/12/09/reducing-romboutsia-genus/
  • Roseburia: https://cfsremission.com/2017/10/29/decreasing-roseburia-genus/
  • Rothia: https://cfsremission.com/2017/10/25/decreasing-rothia-genus/
  • Ruminococcus: https://cfsremission.com/2017/10/18/reducing-ruminococcus-genus/
  • Sarcina: https://cfsremission.com/2017/10/12/decreasing-sarcina-genus/
  • Senegalemassilia: https://cfsremission.com/2017/11/18/reducing-senegalemassilia-genus/
  • Shuttleworthia: https://cfsremission.com/2017/12/22/reducing-shuttleworthia-genus/
  • Slackia: https://cfsremission.com/2017/10/15/decreasing-slackia-genus/
  • Streptococcus: https://cfsremission.wordpress.com/2017/10/25/reducing-streptococcus-genus/
  • Subdoligranlum: https://cfsremission.com/2017/10/10/decreasing-subdoligranlum/
  • Succinivibrio: https://cfsremission.com/2017/11/05/decreasing-succinivibrio-genus/
  • Sutterella: https://cfsremission.com/2017/10/13/decreasing-sutterella-genus/
  • Terrisporobacter: https://cfsremission.com/2017/11/05/reducing-terrisporobacter-genus/
  • Thalassospira: https://cfsremission.com/2017/10/22/reducing-thalassospira-genus/
  • Veillonella: https://cfsremission.com/2017/11/29/reducing-veillonella-genus/
  • Victivallis: https://cfsremission.com/2017/11/11/decreasing-victivallis-genus/


Src: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754147/

General Suggestions (no uBiome results)

Some of these items are contraindicated with a few uBiomes that I have reviewed. This likely is why person B reports no results while person A reports improvement. Example: Magnesium is usually very helpful — but there are a few cases where it encourages overgrowth of undesired  bacteria.


Most probiotics do not take up residency. They are “here today, gone tomorrow”. Their primary role in my model is producing natural antibiotics against other bacteria. For example:

Probiotics should be rotated: 2 weeks on a specific one, then several weeks off. As a general rule, you want about  6-12 B CFU taken three times a day (or 2-3 times the recommended dosage) — but work up slowly because you may get be a major herx! In general, do not take Lactobacillus with Bifidobacteria or with E.Coli etc. Keep to one family per cycle. You do not want them to kill off one another!

Why 3x per day? Because almost none of them are detected after 12-24 hrs. So to keep them — and the production of natural antibiotics — going, you need to keep taking them during the day. See this post for citations.

The following probiotics commonly seem to help people with CFS/Lyme/Fibro:

Some probiotics, however, may make your symptoms worse! And, unfortunately, most commercial probiotics contains some of these. At the moment Bifidobacterium animalis, Saccharomyces boulardii and Lactobacillus acidophilus are on my best to totally avoid list.

  • “. The findings show that the six species of Bifidobacterium differed in their ability to relieve constipation. B. longum, B. infantis and B. bifidum were the most effective in relieving constipation, B. adolescentis and B. breve were partially effective and B. animalis was not effective. Furthermore, edible Bifidobacterium treated constipation by increasing the abundance of Lactobacillus and decreasing the abundance of Alistipes, Odoribacter and Clostridium. .” [2017]

On my neutral list (no clear benefit) is Lactobacillus Plantarum.


Some teas can also be antibiotics (among other roles). There are two teas that seem to produce significant results quickly:

Again, rotate and, if practical, change brands too. Their antibiotic compounds are different from different sources.

Herbs and Spices

The best choice needs examination of your microbiome (i.e. uBiome results) and doing the work cited above.  Survey results found:

  1. Neem and Oregano with 80% improving
  2. Olive Leaf and Licorice with 56% improving
  3. Thyme with 50% improving
  4. Wormwood and Tulsi with 33% improving

Other things

If you do not know your microbiome, then see https://cfsremission.com/reader-surveys-of-probiotics-herbs-etc/  for suggestions. Your results will vary because your microbiome vary.

Thick blood is an issue also — but here things gets more complicated and not suitable for this recap.

Antibiotics can have a role — but getting prescriptions for the right ones can be a major challenge.

Metabolism Shifts

From volunteered data, we can identify some distinctive shifts, see Metabolism Explorer Summary

Bottom Line

Working with the microbiome and autoimmune is like working with fragments of the dead sea scrolls. For many bacteria we can identify it — what inhibits or encourages it is not known to modern medical science.  We have extremely thin slices of knowledge –Almonds enhances Bifidobacterium, Lactobacillus (B&L)  as do sesame seeds. What about sunflower seeds? Peanuts? Cashews? We find that Walnuts help the bacteria that inhibits B&L — so we cannot safely generalize to “all seeds/nuts are helpful”.

In many cases, we find that healthy diet or supplements demonstrated to work for normal people have the opposite effect on CFS and other altered microbiome conditions. This is made even worst because most of the studies were done on males and most people with CFS are females. We end up having to swim up-stream thru good and valid suggestions — that are just wrong for us.

My model is simple to understand and allows us to filter many suggestions and candidates. With the availability of uBiome testing (without needing a prescription!) we have entered the age of explicit treatment based on your unique microbiome. We do not know the role of many bacteria involved. We do not know what will inhibit or enhanced all of these bacteria. Frustrating little knowledge!

On the flip side, many readers have reported significant improvement, reduction of prescription medication, etc. so the model and suggestions have potential and thus hope of remission! Microbiome studies are exploding on PubMed, a lot of research is being done and we can often borrow their results.

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.

Microbiome shift linked to Autoimmune

I have extracted from studies the bacteria that have been associated with various autoimmune-related conditions as well as building pages to apply them to uBiome samples at: http://microbiomeprescription.azurewebsites.net .

  • Histamine Issues From Ubiome
  • Type 2 Diabetes
  • ADHD
  • Autoimmune Disease
  • Crohn’s Disease
  • Chronic Fatigue Syndrome
  • Inflammatory Bowel Diseas
  • Rheumatoid arthritis
  • Fibromyalgia
  • Gout
  • Histamine Issues
  • Irritable Bowel Syndrome
  • Depression
  • Systemic Lupus Erythematosus
  • Metabolic Syndrome
  • High Blood Pressure
  • Mood Disorders
  • Schizophrenia
  • Autism
  • Ulcerative colitis
  • Allergies
  • Alzheimer’s disease

Today, I created a “heat map” across all of these bacteria may be interesting to explore what types of shifts tend to be common/indicators.

  • B – Out of normal range (high or low)
  • H – High
  • L – Low

The last column is the count.

Phylum Level

Low Verrucomicrobia, High Fusobacteria are the most common for a shift in a single direction. A shift in Firmicutes away from the normal range is the strongest indicator of potential problems

Actinobacteria phylum B 7
Actinobacteria phylum H 7
Actinobacteria phylum L 10
Bacteroidetes phylum H 18
Bacteroidetes phylum L 11
Chloroflexi phylum H 1
Cyanobacteria phylum L 2
Euryarchaeota phylum H 3
Euryarchaeota phylum L 1
Firmicutes phylum B 5
Firmicutes phylum H 19
Firmicutes phylum L 15
Fusobacteria phylum H 10
Fusobacteria phylum L 2
Lentisphaerae phylum L 1
Proteobacteria phylum H 16
Proteobacteria phylum L 10
Synergistetes phylum L 1
Tenericutes phylum L 1
Verrucomicrobia phylum H 1
Verrucomicrobia phylum L 11


Low Verrucomicrobiae again is a distinctive item

Actinobacteria class B 7
Actinobacteria class H 7
Actinobacteria class L 10
Anaerolineae class H 1
Bacilli class H 6
Bacilli class L 5
Bacteroidia class H 17
Bacteroidia class L 10
Betaproteobacteria class H 5
Betaproteobacteria class L 2
Chloroflexi class H 1
Clostridia class B 5
Clostridia class H 16
Clostridia class L 14
Deltaproteobacteria class H 3
Deltaproteobacteria class L 3
Erysipelotrichia class H 2
Erysipelotrichia class L 1
Flavobacteriia class L 1
Fusobacteriia class H 10
Gammaproteobacteria class H 13
Gammaproteobacteria class L 6
Methanobacteria class H 3
Negativicutes class H 11
Negativicutes class L 6
Verrucomicrobiae class L 10


Suspects are:

  • High Fusobacteriales
  • High Selenomonadales
  • High Verrucomicrobiales
Actinomycetales order H 3
Actinomycetales order L 1
Anaerolineales order H 1
Bacillales order H 1
Bacillales order L 1
Bacteroidales order H 17
Bacteroidales order L 10
Bifidobacteriales order H 3
Bifidobacteriales order L 5
Burkholderiales order H 5
Burkholderiales order L 2
Clostridiales order B 5
Clostridiales order H 16
Clostridiales order L 14
Coriobacteriales order B 7
Coriobacteriales order H 3
Coriobacteriales order L 3
Desulfovibrionales order H 3
Desulfovibrionales order L 3
Enterobacteriales order H 13
Enterobacteriales order L 3
Erysipelotrichales order H 2
Erysipelotrichales order L 1
Flavobacteriales order L 1
Fusobacteriales order H 10
Lactobacillales order H 6
Lactobacillales order L 5
Methanobacteriales order H 3
Pasteurellales order H 1
Pasteurellales order L 3
Pseudomonadales order H 1
Selenomonadales order H 11
Selenomonadales order L 6
Verrucomicrobiales order L 10
Vibrionales order H 1
Vibrionales order L 1


At this point we are starting to see some strong suspects:

  • High Bacteroidaceae
  • High Enterobacteriaceae
  • High Fusobacteriaceae
  • High Nocardiaceae
Acidaminococcaceae family H 2
Anaerolineaceae family H 1
Bacteroidaceae family H 15
Bacteroidaceae family L 5
Bifidobacteriaceae family H 3
Bifidobacteriaceae family L 5
Catabacteriaceae family L 1
Clostridiaceae family H 5
Clostridiaceae family L 3
Clostridiales Family XI. Incertae Sedis family H 1
Clostridiales Family XIII. Incertae Sedis family L 1
Coriobacteriaceae family B 7
Coriobacteriaceae family H 3
Coriobacteriaceae family L 3
Corynebacteriaceae family H 1
Desulfovibrionaceae family H 3
Desulfovibrionaceae family L 2
Enterobacteriaceae family H 13
Enterobacteriaceae family L 2
Enterococcaceae family H 2
Erysipelotrichaceae family H 2
Erysipelotrichaceae family L 1
Eubacteriaceae family H 1
Eubacteriaceae family L 3
Flavobacteriaceae family L 1
Fusobacteriaceae family H 10
Lachnospiraceae family H 10
Lachnospiraceae family L 9
Lactobacillaceae family H 4
Lactobacillaceae family L 5
Methanobacteriaceae family H 3
Nocardiaceae family H 2
Oscillospiraceae family H 4
Oxalobacteraceae family H 4
Pasteurellaceae family H 1
Pasteurellaceae family L 3
Peptostreptococcaceae family H 2
Peptostreptococcaceae family L 2
Porphyromonadaceae family H 5
Porphyromonadaceae family L 6
Prevotellaceae family H 8
Prevotellaceae family L 3
Pseudomonadaceae family H 1
Rikenellaceae family H 4
Rikenellaceae family L 2
Ruminococcaceae family B 5
Ruminococcaceae family H 11
Ruminococcaceae family L 11
Staphylococcaceae family H 1
Staphylococcaceae family L 1
Streptococcaceae family H 2
Sutterellaceae family H 1
Sutterellaceae family L 2
Veillonellaceae family H 8
Veillonellaceae family L 6
Verrucomicrobiaceae family L 10
Vibrionaceae family H 1
Vibrionaceae family L 1


More clear suspects:

  • Low Akkermansia
  • High Anaerotruncus
  • High Bacteroides
  • High Collinsella
  • High Escherichia
  • High Fusobacterium
  • High Prevotella
  • High Pseudoflavonifractor
Acetivibrio genus L 1
Actinobacillus genus H 1
Adlercreutzia genus L 1
Akkermansia genus L 10
Alistipes genus H 4
Alistipes genus L 1
Anaerostipes genus L 1
Anaerotruncus genus H 8
Bacteroides genus H 11
Bacteroides genus L 5
Bifidobacterium genus H 3
Bifidobacterium genus L 5
Bilophila genus H 2
Bilophila genus L 1
Blautia genus H 2
Blautia genus L 3
Butyricimonas genus H 1
Candidatus Soleaferrea genus L 1
Cetobacterium genus H 2
Citrobacter genus H 1
Clostridium genus H 4
Clostridium genus L 3
Collinsella genus B 7
Collinsella genus H 2
Collinsella genus L 1
Coprobacillus genus H 1
Coprococcus genus H 5
Coprococcus genus L 5
Corynebacterium genus H 1
Desulfovibrio genus H 1
Desulfovibrio genus L 1
Dialister genus L 4
Dorea genus L 2
Eggerthella genus H 1
Eggerthella genus L 1
Enterobacter genus H 2
Enterococcus genus H 2
Erysipelatoclostridium genus H 1
Escherichia genus H 10
Escherichia genus L 2
Eubacterium genus H 1
Eubacterium genus L 3
Faecalibacterium genus H 6
Faecalibacterium genus L 5
Flavobacterium genus L 1
Flavonifractor genus H 2
Fusobacterium genus H 8
Gemella genus H 1
Haemophilus genus L 3
Hafnia genus H 1
Hafnia alvei genus H 1
Klebsiella genus H 4
Lachnoclostridium genus H 1
Lachnospira genus L 1
Lactobacillus genus H 4
Lactobacillus genus L 5
Megasphaera genus L 1
Methanobrevibacter genus H 3
Mogibacterium genus L 1
Morganella genus H 1
Odoribacter genus H 1
Odoribacter genus L 3
Oscillibacter genus H 4
Oscillospira genus L 1
Oxalobacter genus H 4
Parabacteroides genus H 2
Parabacteroides genus L 4
Parvimonas genus H 1
Peptoclostridium genus H 1
Peptostreptococcus genus H 1
Phascolarctobacterium genus H 2
Photobacterium genus H 1
Photobacterium genus L 1
Porphyromonas genus H 2
Prevotella genus H 8
Prevotella genus L 3
Proteus genus H 2
Pseudobutyrivibrio genus L 1
Pseudoflavonifractor genus H 8
Pseudomonas genus H 1
Raoultella genus H 1
Rhodococcus genus H 2
Roseburia genus H 2
Roseburia genus L 3
Ruminococcus genus B 5
Ruminococcus genus H 1
Ruminococcus genus L 6
Sarcina genus H 1
Serratia genus H 1
Staphylococcus genus H 1
Staphylococcus genus L 1
Streptococcus genus H 2
Subdoligranulum genus L 1
Sutterella genus H 1
Sutterella genus L 2
Turicibacter genus L 1
Veillonella genus H 7
Veillonella genus L 2

Bottom Line

With so many bacteria involved, determining which bacteria to focus on has lacked a clear rationale.  With some people shifting from one diagnosis to another over time, it is likely best to focus on the ones that seems to the foundations for many diagnosii.

I hope to update the recommendations page in the next few weeks,  to increase the weight of correcting the above items instead of giving each bacteria equal weight. This would be done as an option.

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.

Systemic Lupus Erythematosus microbiome profile added

Over the years I have seen several people move from Chronic Fatigue Syndrome /ME diagnosis into a Lupus diagnosis. Today, it appears that all of these conditions share the same probable cause of a  gut bacteria dysfunction.  As the dysfunction evolves, the diagnosis may evolve – sometimes with a change of disease, other times with additional diagnosis added.

I have gathered up what has been published on PubMed for the Lupus shifts.  Having these shifts does not mean you have lupus — DNA also comes into play. The intent is give some visibility of a slide into another condition (or stepping away from).


Bottom Line

This is one more autoimmune diseases that has been associated with a ‘microbiome signature’.


Update on Autoimmune profiles

For readers that have contributed their uBiomes, we have added more profiles from studies with one important enhancement.  A sample of common symptoms are also shown with check boxes above the analysis. When you look at the results, please contribute your symptoms for those listed. There is a link to the full list, but with cognitive fatigue — that list can be too much for many people.

Remember — adding your symptoms increases the value of your uploaded ubiome for research.

Example: Gout


What’s there?

As new studies are published, their information will be added and new ones added, for example for SIBO.

Is Arthrosis a microbiome condition?

A reader messaged me because a member of their family has just gotten a diagnosis of arthrosis. They asked if it could be caused by the microbiome? Arthritis  affect your bones, ligaments, and joints. Often this means joint stiffness and pain.

Arthritis is an umbrella term describing several conditions. It includes:

  • osteoarthritis (OA) also known as arthrosis
  • rheumatoid arthritis (RA), and
  • gout.

There are many conditions that distinctive microbiome profiles have been discovered. If you have a uBiome done, I have created pages to compare the ubiome against the published profiles. One of these is rheumatoid arthritis, as shown below (you must have uploaded ubiome to see the results)


The studies used for this page included:

A quick search on PubMed found significant research in this direction for osteoarthritis.

I was unable to find studies reporting a specific microbiome profile for osteoarthritis.

For Gout, we find:

  • Combined Signature of the Fecal Microbiome and Metabolome in Patients with Gout.
    • “The signatures of microbiome showed being up-regulation of opportunistic pathogens, such as Bacteroides, Porphyromonadaceae RhodococcusErysipelatoclostridium and Anaerolineaceae”
    • “The LefSe method revealed that the phylum Bacteroidetes and its derivative (Bacteroidia, Bacteroidales, Bacteroidaceae as well as Bacteroidales S24_7 group and Porphyromonadaceae), the phylum Chloroflexi and its derivatives (Anaerolineae, Anaerolineales, and Anaerolineaceae), the order Corynebacteriales and its derivative (Nocardiaceae and Rhodococcus), the class Erysipelotrichia and its derivatives (Erysipelotrichales, Erysipelotrichaceae and Erysipelatoclostridium), and the class Negativicutes and its derivative (Selenomonadales) were all higher in the intestinal microbiota from the gout patients. Conversely, the family Vibrionaceae and its derivatives (Photobacterium and Vibrio), the genus Coprococcus 3, Lachnospiraceae NC2004 group, Lachnospiraceae UCG_005, Ruminococcaceae NK4A214 group and Ruminococcaceae UCG_011 were all lower in the intestinal microbiota from the gout patients.”
    • Additionally the metabolites (KEGG) found significant differences.

Bottom Line

All of the different types of Arthritis appear to have distinctive profiles according to published studies. There are also metabolite shifts (since these are produced by bacteria — this is expected). Metabolites are the supplies for the body.

One item was very significant — two people may have similar metabolites shifts, and thus the same diagnosis — BUT have different bacteria causing this shift.  If the person has high or low Akkermansia muciniphila,will determine if they have a positive or negative response to Chondroitin Sulfate. This later reality is what I have started to suspect for all of the microbiome caused conditions:

  • The symptoms are caused by the metabolite shifts.
    • There may be many combinations of bacteria shifts that can cause a similar  metabolite shift.

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.



Three more compares of ubiome results

This post looks at three more people that have done 2 microbiome results over time.

Example 1

Following recommendations

Sample Id   Earlier     Later 
Metabolism Average 1.03 0.90
Metabolism Std Dev 0.47 0.29
All Profiles 127 97
ADHD 6 11 Reports more easily distracted
Autism 13 9
Autoimmune Disease 4 4
Chronic Fatigue Syndrome 18 9
Crohn’s Disease 9 7
Depression 15 17 reports increased tendency to sadness
High Blood Pressure 4 3
Histamine Issues 0 0
Histamine Issues From Ubiome 9 4
Inflammatory Bowel Disease 7 7
Irritable Bowel Syndrome 7 6
Metabolic Syndrome 8 4
Mood Disorders 4 6
Rheumatoid arthritis 9 4
Schizophrenia 0 0
Type 2 Diabetes 9 4
Ulcerative colitis 5 2

 Example 2

This was a series of ubiome done around 2016. A health professional attempted to deal with the microbiome dysfunctions with traditional conventional processes.

Sample Id   #1     #2     #3  
All Profiles 59 91 75
ADHD 6 8 7
Autism 6 9 8
Autoimmune Disease 1 4 2
Chronic Fatigue Syndrome 9 11 11
Crohn’s Disease 6 6 6
Depression 6 13 6
High Blood Pressure 1 3 2
Histamine Issues 0 1 0
Histamine Issues From Ubiome 5 5 5
Inflammatory Bowel Disease 4 6 5
Irritable Bowel Syndrome 3 6 5
Metabolic Syndrome 1 2 3
Mood Disorders 1 6 2
Rheumatoid arthritis 4 5 4
Schizophrenia 0 0 0
Type 2 Diabetes 4 4 6
Ulcerative colitis 2 2 3

Example 3

Treatment is unknown, but by the ubiome numbers, would have occurred after recommendations became available OR have been a natural / spontaneous improvement.

Sample Id   Early   Later
All Profiles 127 83
Autism 13 9
ADHD 12 8
Autoimmune Disease 4 3
Chronic Fatigue Syndrome 14 8
Crohn’s Disease 12 7
Depression 18 6
High Blood Pressure 4 2
Histamine Issues 1 0
Histamine Issues From Ubiome 4 5
Inflammatory Bowel Disease 10 8
Irritable Bowel Syndrome 6 6
Metabolic Syndrome 5 5
Mood Disorders 9 3
Rheumatoid arthritis 7 4
Schizophrenia 0 0
Type 2 Diabetes 6 6
Ulcerative colitis 2 3

Bottom Line

There is growing evidence that the recommendations appear to:

  • Normalize metabolite functions (KEGG)
  • Reduce the typical microbiome signature across multiple autoimmune like conditions.

Our base assumption is that symptoms are caused by the shifts. There is no objective way to measure symptoms (and with memory issues often being involved, it makes it a more unreliable evaluation method). We can measure the two above items, and do observe improvements.

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.



Microbiome Site Updates

There was been a bunch of changes over the last week (and this weekend).

  • ubiome kit 15% discount code:  BIOTICS15
  • On Apples, the Buttons do not show up well, so I have modified their presentations
  • Caught and fixed a few bugs in the Alternative Labs.
    • I tested each by setting Lactobacillus low only and compared recommendations. If you have the cycles, please re-test and report any issues.
  • Remember login information as cookies — this will making log on easier. Just return to the page and the information will be automatically filled in.

Statistics on what data we use is now shown

We have 1600+ known items that will modify the gut, and some 76000+ relationships on how it will be modified. A lot of the items added this week were from drugs. Work is starting on expanding non-drugs data.

If you are on a prescription drug, you may find it (and it’s impact) on the updated modifiers.


Data Summary

Bacteria family112

Data Store Count
Bacteria class 33
Bacteria genus 331
Bacteria kingdom 2
Bacteria no_rank 32
Bacteria order 62
Bacteria phylum 22
Bacteria root 1
Bacteria species 847
Bacteria species_group 9
Bacteria strain 3
Bacteria subclass 6
Bacteria subgenus 1
Bacteria subkingdom 1
Bacteria suborder 7
Bacteria subphylum 2
Bacteria superkingdom 3
Bacteria superphylum 3
Biome Samples 194
Metabolism/KEGG added to uBiome 43
Modifier-to-Bacteria relationships 76431
Modifiers of bacteria 1664
People who Uploaded 131
Symptoms added to uBiome 79

Improved Navigation


From the sample selection pages, we have made links to other pages clearer:


Similarly for condition profiles


Bottom Line

I hope this makes navigation easier.  I have started working with data scientists at the Allen Institute to improve the data we are using. My focus for the next few weeks will be to increase our knowledge of non-prescription ways of modifying the microbiome.

Needless to say, adding symptoms and copying the KEGG/metabolism data across to the site will both:

  • allow research to happen better
  • allow you to see objective progress over time (i.e. KEGG/ metabolism improved, autoimmune profiles improve).

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.

DayTwo Lab Recommendations are now available

DayTwo (https://www.daytwo.com/ ) provides a microbiome test and nutritional recommendations ($349 covering some 92 taxonomy units verus $80 for hundreds with uBiome.com). Their focus appears to be:

“DayTwo analyzes your microbiome to predict blood sugar responses to thousands of different foods. High blood sugar is linked to energy dips, excessive hunger, weight gain and increased risk of obesity and diabetes”

A reader forwarded me their report  and I have implemented a suggestions page for it at:

Selling nutritional suggestions off microbiome is a “hot area” for marketing. My concern is that the advice for more belief based recommendations instead of science based recommendations.

They score foods with A,B,C grades as shown below


For the reader, an example of food recommendations from their report:


MicrobiomePrescript Recommendations

This is a healthy active individual but with some significant shifts in some of the measures.

Item    Action    Confidence value
inulin prebiotics Take 2.17
pulse / legumes Take 1.664
resveratrol Take 1.525
gallic acid and tannins Take 1.248
arabinoxylan Take 1.109
antiseptics Avoid -1.386
no carbohydrate diet Avoid -1.664

The rice and pasta suggestions above matches with the avoid a no carbohydrate diet above.

Bottom Line

This company appear to attempt a menu service based on their microbiome results which seems to be targeted at healthy people