Details about Bacteroidales: NCBI 171549

gram-negative or unknown

Other Names: Bacteroidales Bacteroidales Krieg 2012 emend. Pikuta et al. 2017

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Distribution Chart and Statistics    |    End Products Produced   |    📚 PubMed Citations

Recommended reading: Taxonomy Nightmare

Does a specific lab/source detect it?


Click on to see lab specific distribution
SourcePercentagesamples
es-xenogene 80 % 5
SequentiaBiotech 100 % 39
CosmosId 100 % 13
AmericanGut 100 % 18
custom 100 % 1
Microba 80 % 5
uBiome 99.42 % 839
Thryve 100 % 552
BiomeSight 100 % 345

Desired Levels from Some Experts

Percentage Seen in Sample
Low Boundary High Boundary Source
16.829 %66.1208 % Kaltoft-Moltrup Normal Ranges

Ranges can vary from lab to lab because of different equipment and software being used.

Possible Health Impacts

I would like to know about this bacteria's

🔐 From Citizen Science 2.0

Citizen Science 2.0 Explorer. List is restricted to associations with a high count and a change of random occurance greater than 1 in 100.

Only the 10 most significant associations are shown
SymptomsRangeOdds
Immune: Sensitivity to smell/food/medication/chemicals      Between 50%ile to 100%ile    1 to 123966
Neuroendocrine Manifestations: Muscle weakness      Between 50%ile to 100%ile    1 to 30893.8
Neurocognitive: Absent-mindedness or forgetfulness      Between 50%ile to 100%ile    1 to 17250.2
Immune: Sensitivity to smell/food/medication/chemicals      Between 66%ile to 100%ile    1 to 10088.7
General: Depression      Between 50%ile to 100%ile    1 to 5016.9
Official Diagnosis: Depression      Between 50%ile to 100%ile    1 to 2486.1
Post-exertional malaise: General      Between 50%ile to 100%ile    1 to 1999.3
General: Myalgia (pain)      Between 50%ile to 100%ile    1 to 618.7
Comorbid: Small intestinal bacterial overgrowth (SIBO)      Between 50%ile to 100%ile    1 to 524.4

From Published Science

Based on Studies on PubMed
Medical ConditionDirectionPValue
Allergic Rhinitis (Hay Fever) High 📚 1 citations
Atherosclerosis Low 📚 1 citations
Autism Low 📚 2 citations
Brain Trauma Low 📚 1 citations
Colorectal Cancer High 📚 1 citations
Depression High 📚 1 citations
Depression Low 📚 1 citations
Eczema High 📚 1 citations
Generalized anxiety disorder Low 📚 1 citations
Gout High 📚 1 citations
Liver Cirrhosis High 📚 1 citations
Mood Disorders High 📚 1 citations
Schizophrenia High 📚 1 citations

I would like to know what can change the quality that I have

You can compare microbiome impact of these by checking the desired items (try keeping the numbers below six(6) and clicking

📓 - direct citation | 👪 - Impacts Parent Taxa | 👶 - Impacts Child Taxa | 🧙 - Inferred
Search Hints: Spice | Herb | Vitamin | Probiotics | Diet | Food | Amino |Flavonoids
General Substance Specific Substance Effect
alcohol alcohol 📓 📚 Decreases from 1 studies
Amino Acid and similar acetic acid 📓 📚 Increases from 1 studies
bifidobacterium adolescentis probiotics bifidobacterium adolescentis,(probiotics) 📓 📚 Increases from 1 studies
Bifidobacterium probiotics bifidobacterium adolescentis,(probiotics) 📓 📚 Increases from 1 studies
butyrate supplements isobutyric acid 📓 📚 Increases from 1 studies
Diet Style high-fat diets 📓 📚 Decreases from 1 studies
Drug high-fat sucrose 📓 📚 Increases from 1 studies
emulsifiers (additives) polysorbate 80 📓 📚 Decreases from 1 studies
flavonoids, polyphenols etc quercetin,resveratrol 📓 📚 Increases from 1 studies
Food (excluding seasonings) alcohol 📓 📚 Decreases from 1 studies
Food (excluding seasonings) rare meat 📓 📚 Decreases from 1 studies
Food (excluding seasonings) sesame cake/meal 📓 📚 Increases from 1 studies
Food (excluding seasonings) sorghum 📓 📚 Decreases from 1 studies
Food (excluding seasonings) walnuts 📓 📚 Decreases from 1 studies
high fat diet high-fat diets 📓 📚 Decreases from 1 studies
High Meat Diet rare meat 📓 📚 Decreases from 1 studies
isovaleric acid supplement isovaleric acid(fatty acid) 📓 📚 Increases from 1 studies
lactobacillus brevis probiotics lactobacillus brevis (probiotics) 📓 📚 Decreases from 1 studies
lactobacillus paracasei probiotics lactobacillus paracasei (probiotics) 📓 📚 Increases from 1 studies
lactobacillus probiotics - not specific lactobacillus brevis (probiotics) 📓 📚 Decreases from 1 studies
lactobacillus probiotics - not specific lactobacillus paracasei (probiotics) 📓 📚 Increases from 1 studies
low fat diet high-fat sucrose 📓 📚 Decreases from 1 studies
Miscellaneous, food additives, and other odd items isobutyric acid 📓 📚 Increases from 1 studies
Miscellaneous, food additives, and other odd items isovaleric acid(fatty acid) 📓 📚 Increases from 1 studies
not classified banana 📓 📚 Increases from 1 studies
oligosaccharide (prebiotic) galacto-oligosaccharides (prebiotic) 📓 📚 Decreases from 1 studies
Prebiotics and similar galacto-oligosaccharides (prebiotic) 📓 📚 Decreases from 1 studies
Probiotics bifidobacterium adolescentis,(probiotics) 📓 📚 Increases from 1 studies
Probiotics lactobacillus brevis (probiotics) 📓 📚 Decreases from 1 studies
Probiotics lactobacillus paracasei (probiotics) 📓 📚 Increases from 1 studies
quercetin supplement quercetin,resveratrol 📓 📚 Increases from 1 studies
resveratrol quercetin,resveratrol 📓 📚 Increases from 1 studies
sesame sesame cake/meal 📓 📚 Increases from 1 studies
Sugar and similar polysorbate 80 📓 📚 Decreases from 1 studies
vinegar acetic acid 📓 📚 Increases from 1 studies
Vitamins, Minerals and similar iron 📓 📚 Increases from 1 studies
Vitamins, Minerals and similar vitamin d 📓 📚 Increases from 1 studies
walnuts nuts walnuts 📓 📚 Decreases from 1 studies
whole grains sorghum 📓 📚 Decreases from 1 studies

A P-value below 0.0001 is the recommended threshold. A larger R-Square value means a stronger relationship. This is unpublished data using Properitary Artificial Intelligence.

🔐 Details about Bacteroidales: Bacteria Interplay


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This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.