Details about Porphyromonas: NCBI 836

Other Names: Oribaculum Oribaculum Moore and Moore 1994 Porphyromonas Porphyromonas Shah and Collins 1988 emend. Kawamura et al. 2015 Porphyromonas Shah and Collins 1988 emend. Wagener et al. 2014 Porphyromonas Shah and Collins 1988 emend. Willems and Collins 1995

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Distribution Chart and Statistics    |    End Products Produced

Recommended reading: Taxonomy Nightmare

Does a specific lab/source detect it?

SourcePercentagesamples
SequentiaBiotech38.5 %39
AmericanGut55.6 %18
uBiome41.6 %837
Thryve77.7 %461
BiomeSight85.3 %266

Desired Levels from Some Experts

Low Percentage High Percentage Source
0.001 %0.8771 % 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
Onset: Gradual      Between 50%ile to 100%ile   1 to 7196.1
Onset: Gradual      Between 66%ile to 100%ile   1 to 556.1
Age: 20-30      Between 66%ile to 100%ile   1 to 350.1
Post-exertional malaise: Mentally tired after the slightest effort      Between 50%ile to 100%ile   1 to 258.5
Joint: Sudden and severe episodes of pain      Between 50%ile to 100%ile   1 to 148.9
Neurological: High degree of Empathy before onset      Between 66%ile to 100%ile   1 to 133.4
Neuroendocrine: Cold limbs (e.g. arms, legs hands)      Between 50%ile to 100%ile   1 to 108.8
Official Diagnosis: Chronic Fatigue Syndrome      Between 66%ile to 100%ile   1 to 105.4
Post-exertional malaise: Mentally tired after the slightest effort      Between 66%ile to 100%ile   1 to 104.6

From Published Science

Based on Studies on PubMed
Medical ConditionDirectionPValue
Ankylosing spondylitis High1
Atherosclerosis Low1
Carcinoma High1
Chronic Fatigue Syndrome Low1
Colorectal Cancer High1
Coronary artery disease High1
Crohn's Disease Low1
Depression High1
Liver Cirrhosis High2
Nonalcoholic Fatty Liver Disease (nafld) Nonalcoholic High1
Nonalcoholic Fatty Liver Disease (nafld) Nonalcoholic Low1
rheumatoid arthritis (RA),Spondyloarthritis (SpA) High3
Stress / posttraumatic stress disorder High1
Type 2 Diabetes High1
Ulcerative colitis High1

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
Antibiotics, Antivirals etc doxycycline (antibiotic)s 📓 Decreases from 1 studies
Antibiotics, Antivirals etc fluoroquinolone (antibiotic)s 📓 Decreases from 1 studies
arabinogalactan (gums) (prebiotic) mastic gum (prebiotic) 📓 Decreases from 1 studies
barley barley 📓 Decreases from 2 studies
barley whole-grain barley 📓 Decreases from 1 studies
beta-glucan foods barley 📓 Decreases from 2 studies
beta-glucan foods ß-glucan 📓 Decreases from 1 studies
beta-glucan foods whole-grain barley 📓 Decreases from 1 studies
Diet Style gluten-free diet 📓 Increases from 1 studies
dietary fiber non-starch polysaccharides 📓 Increases from 1 studies
flavonoids, polyphenols etc resveratrol (grape seed/polyphenols/red wine) 📓 Decreases from 1 studies
Food (excluding seasonings) barley 📓 Decreases from 2 studies
Food (excluding seasonings) blackcurrant 📓 Increases from 1 studies
Food (excluding seasonings) pea (fiber, protein) 📓 Increases from 1 studies
Food (excluding seasonings) whole-grain barley 📓 Decreases from 1 studies
fruit blackcurrant 📓 Increases from 1 studies
garlic garlic (allium sativum) 📓 Decreases from 1 studies
gluten free diet gluten-free diet 📓 Increases from 1 studies
Herb or Spice garlic (allium sativum) 📓 Decreases from 1 studies
Herb or Spice grape seed extract 📓 Decreases from 1 studies
Herb or Spice Perilla frutescens(shiso) 📓 Decreases from 1 studies
lactobacillus gasseri probiotics lactobacillus gasseri (probiotics) 📓 Increases from 1 studies
lactobacillus probiotics - not specific lactobacillus gasseri (probiotics) 📓 Increases from 1 studies
not classified grape polyphenols 📓 Decreases from 1 studies
not classified grape seed extract 📓 Decreases from 1 studies
not classified resveratrol (grape seed/polyphenols/red wine) 📓 Decreases from 1 studies
not classified Umeboshi (Japanese Apricot or Prunus mume ) 📓 Decreases from 1 studies
oligosaccharide (prebiotic) fructo-oligosaccharides (prebiotic) 📓 Decreases from 1 studies
perilla oil Perilla frutescens(shiso) 📓 Decreases from 1 studies
Prebiotics and similar fructo-oligosaccharides (prebiotic) 📓 Decreases from 1 studies
Prebiotics and similar mastic gum (prebiotic) 📓 Decreases from 1 studies
Prebiotics and similar ß-glucan 📓 Decreases from 1 studies
Probiotics lactobacillus gasseri (probiotics) 📓 Increases from 1 studies
quinolones family antibiotics (prescription) fluoroquinolone (antibiotic)s 📓 Decreases from 1 studies
resveratrol resveratrol (grape seed/polyphenols/red wine) 📓 Decreases from 1 studies
Sugar and similar non-starch polysaccharides 📓 Increases from 1 studies
tetracycline family antibiotics (prescription) doxycycline (antibiotic)s 📓 Decreases from 1 studies
Vitamins, Minerals and similar vitamin d 📓 Decreases from 1 studies
Vitamins, Minerals and similar zinc oxide 📓 Decreases from 1 studies
whole grains whole-grain barley 📓 Decreases from 1 studies
yellow pea pea (fiber, protein) 📓 Increases 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 Porphyromonas: Bacteria Interplay


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