Details about Schaalia: NCBI 2529408, high G+C gram-positive

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  Statistics   50 Interactions with Other Bacteria   NCBI   Data Punk   End Products Produced

Lab Reporting

Different labs use different software to read the sample. See this post for more details.
One lab may say you have none, another may say you have a lot! - This may be solely due to the software they are using to estimate.
We deem lab specific values using values from the KM method for each specific lab to be the most reliable.

Desired Levels Suggestions

Using uploaded data for Schaalia

Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation

These are values that are computed from lab specific samples
LabKM LowKM Percentile LowKM HighKM Percentile HighLab LowLab HighMeanStandard Deviation
All 0.002 20.3 %ile 0.056 95.7 %ile 0 0.251 0.022 0.117
BiomeSight 0.001 7.4 %ile 0.045 95.2 %ile 0 0.118 0.013 0.053
Ombre/Thryve 0.002 18.7 %ile 0.048 96.1 %ile 0 0.105 0.013 0.047
uBiome 0 0 %ile 0.056 91.5 %ile 0 0.505 0.054 0.23
Lab Suggestions for Schaalia
Schaalia (NCBI 2529408) per million
Low Boundary High Boundary Low Boundary %age High Boundary %age Source
Statistic by Lab Source
These desired values are reported from the lab reports
LabFrequency SeenAverageStandard DeviationSamples
CosmosId 35.135 %   0.008 %  0.015 % 37
Microba 10 %   0.02 %  0.002 % 30
BiomeSightRdp 9.756 %   0.012 %  0.011 % 41
es-xenogene 11.429 %   0.007 %  0.004 % 35
Thorne 100 %   0.101 %  0.253 % 35
uBiome 61.111 %   0.053 %  0.23 % 792
Thryve 63.11 %   0.013 %  0.052 % 1537
BiomeSight 49.695 %   0.013 %  0.051 % 2457
custom 7.463 %   0.013 %  0.01 % 67
Medivere 85.714 %   0.014 %  0.008 % 7

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Data Contradictions — Limits of Certainity

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General Substance Specific Substance Effect
Amino Acid and similar maltitol Studies report Increases in consensus
Amino Acid and similar melatonin supplement Studies report Decreases in consensus
Antibiotics, Antivirals etc azithromycin,(antibiotic)s[CFS] Studies report Decreases in consensus
Antibiotics, Antivirals etc metronidazole (antibiotic)s[CFS] Studies report Increases in consensus
Diet Style whole grain diet Studies report Increases in consensus
Drug or "Non-drug" acetylsalicylic acid,aspirin Studies report Decreases in consensus
flavonoids, polyphenols etc resveratrol (grape seed/polyphenols/red wine) Studies report Decreases in consensus
Food (excluding seasonings) low-sugar Studies report Increases in consensus
Food (excluding seasonings) oats Studies report Increases in consensus
Food (excluding seasonings) walnuts Studies report Increases in consensus
Miscellaneous, food additives, and other odd items cholic acid (bile acid) Studies report Increases in consensus
Prebiotics and similar inulin (prebiotic) Studies report Increases in consensus
Prescription - Other ethopropazine hydrochloride,(prescription) Studies report Decreases in consensus
Prescription - Other proton-pump inhibitors (prescription) Studies report Increases in consensus
Probiotics bacillus subtilis,lactobacillus acidophilus (probiotics) Studies report Increases in consensus
Probiotics bifidobacterium animalis lactis (probiotics) Studies report Decreases in consensus
Probiotics lactobacillus fermentum (probiotics) Studies report Increases in consensus
Probiotics lactobacillus gasseri (probiotics) Studies report Increases in consensus
Probiotics lactobacillus reuteri (probiotics) Studies report Increases in consensus
Probiotics lactobacillus rhamnosus (probiotics) Studies report Decreases in consensus
Probiotics pediococcus acidilactic (probiotic) Studies report Increases in consensus
Sugar and similar saccharin Studies report Decreases in consensus
Sugar and similar sugar Studies report Decreases in consensus

All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.

Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine

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

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Use of data on this site is prohibited except under written license. There is no charge for individual personal use. Use for any commercial applications or research requires a written license.
Caveat emptor: Analysis and suggestions are based on modelling (and thus infererence) based on studies. The data sources are usually given for those that wish to consider alternative inferences. theories and models.

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