This is the title of a new publication in Microbes & Immunity, available here.
Microbiome fluctuations or metabolic endotoxemia are proposed as possible disorder biomarkers. Based on the fact that gut microbiota dysbiosis reverts to a state of eubiosis in long-term patients with this condition, it may be hypothesized that disease progression begins with the loss of beneficial gut microorganisms, particularly short-chain fatty acid producers, leading to more widespread gastrointestinal phenotypes that are subsequently reflected in plasma metabolite levels. These alterations, specific of each individual, thereby result in metabolic and phenotypic shifts and in ME/CFS.
Microbial involvement in myalgic encephalomyelitis/chronic fatigue syndrome pathophysiology 6 Sep 2024
This has been my primary hypothesis for many years and lead to my writing Microbiome Prescription to normalize the dysbiosis. The bacteria shifts will be reported differently from different labs because of a lack of standardization of microbiome tests (See The taxonomy nightmare before Christmas… ).
Recently, I implemented an Odds Ratio analysis of the 5000+ sample microbiomes that have been upload to Microbiome Prescription. A quick overview is here: Bacteria Associated with General Fatigue.
Below I have pulled the lab specific dysbiosis shifts for ME/CFS at thhe genus level.
Biomesight Tests
The number are the percentile ranking for the bacteria listed. Each match increases the odds of ME/CFS by 1.5.
- Methylonatrum >= 99
- Planifilum >= 98.9
- Thiohalorhabdus >= 98.9
- Granulicatella >= 98.7
- Amedibacillus >= 98.6
- Enterococcus >= 98
- Methylobacillus >= 98
- Emticicia >= 97.7
- Candidatus Tammella >= 97.7
- Dokdonella >= 97.6
- Runella >= 97.4
- Collinsella <= 18
- Pseudobutyrivibrio <= 16.4
- Calothrix <= 13.8
- Lachnospira <= 11.4
- Veillonella <= 10.8
- Shuttleworthia <= 8.5
- Parabacteroides <= 8.4
- Bifidobacterium <= 8.4
- Faecalibacterium <= 7.5
- Actinobacillus <= 7.5
- Pedobacter <= 7.2
- Coprococcus <= 4.6
- Moorella <= 3.5
- Natronincola <= 2.9
- Mediterraneibacter <= 2.5
- Oscillospira <= 1.8
- Anaerovibrio <= 1.7
- Sphingobacterium <= 1.6
Thryve
- Collinsella <= 44.2
- Bifidobacterium <= 41.1
- Gemmiger <= 23
- Dorea <= 19
- Butyrivibrio <= 8
- Fusicatenibacter <= 5.7
- Lachnoclostridium <= 5.2
- Gordonibacter <= 5.1
- Eubacterium <= 4.8
- Prevotella <= 4
- Brassicibacter <= 3.9
- Sporobacter <= 3.5
- Johnsonella <= 3.5
- Phascolarctobacterium <= 3.4
- Dialister <= 3.4
- Agathobacter <= 3.3
- Lactonifactor <= 3.2
- Murimonas <= 3.2
- Moryella <= 3.1
- Niabella <= 3.1
- Ruminococcus <= 3
- Hungatella <= 3
- Anaerotruncus <= 2.8
- Odoribacter <= 2.7
- Lactobacillus <= 2.4
- Eggerthella <= 2.3
- Cellulosilyticum <= 2.1
- Haemophilus <= 2
- Holdemania <= 2
- Terrisporobacter <= 2
- Anaerobutyricum <= 1.9
- Howardella <= 1.8
- Hydrogenoanaerobacterium <= 1.8
- Lachnobacterium <= 1.8
- Hespellia <= 1.7
- Agathobaculum <= 1.6
- Pseudoflavonifractor <= 1.6
- Desulfotomaculum <= 1.6
- Intestinibacter <= 1.6
- Barnesiella <= 1.5
- Eisenbergiella <= 1.5
- Facklamia <= 1.5
- Acetatifactor <= 1.5
- Ruminiclostridium <= 1.5
- Natranaerovirga <= 1.5
- Enterocloster <= 1.4
- Caloramator <= 1.4
- Thomasclavelia <= 1.4
- Desulfovibrio <= 1.4
- Parabacteroides <= 1.4
- Shuttleworthia <= 1.3
- Peptoniphilus <= 1.3
- Akkermansia <= 1.3
- Alistipes <= 1.3
- Marvinbryantia <= 1.3
- Acetivibrio <= 1.2
- Paraprevotella <= 1.2
- Veillonella <= 1.2
- Bacteroides <= 1.2
- Butyricimonas <= 1.2
- Romboutsia <= 1.2
- Ethanoligenens <= 1.2
- Phocaeicola <= 1.2
- Anaerocolumna <= 1.2
- Blautia <= 1.1
- Coprococcus <= 1
- Lachnospira <= 1
uBiome
- Veillonella <= 22.4
- Hespellia <= 19
- Bifidobacterium <= 15.1
- Anaerosporobacter <= 7.2
- Streptococcus <= 6.8
- Eggerthella <= 6.4
- Phascolarctobacterium <= 4.1
- Eisenbergiella <= 3.9
- Marvinbryantia <= 3.4
- Holdemania <= 3.1
- Dorea <= 3
- Anaerostipes <= 3
- Oscillibacter <= 2.7
- Dialister <= 2.3
- Kluyvera <= 2.1
- Peptoclostridium <= 1.7
- Erysipelatoclostridium <= 1.4
- Intestinimonas <= 1.3
- Sarcina <= 1.3
- Roseburia <= 1.3
- Phocaeicola <= 1.2
- Terrisporobacter <= 1.2
- Bacteroides <= 1.1
Bottom Line
Bifidobacterium is common across all of these, and lactobacillus shows up barely in only one result. Since there can be some hostility between Bifidobacterium and Lactobacillus, I would suggest cutting out lactobacillus probiotics.
I repeated this for Bifidobacterium species and one species shone.
- Bifidobacterium longum <= 9.9
My personal preference for a source is Maple Life Science which sells direct from factory resulting in very fresh and alive probiotics.
Some examples of analysis people with Long COVID and ME/CFS are there. I am working on building an algorithm to build suggestions based on odds ratio which should improve the suggestions more.
CFS Remission 