Bacteria of Gluten Consumer -[Details]

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Rank Name Studies
species [Clostridium] symbiosum    πŸ“š PubMed
species Anaerostipes hadrus    πŸ“š PubMed
species Bifidobacterium adolescentis    πŸ“š PubMed
species Bifidobacterium bifidum    πŸ“š PubMed
species Bifidobacterium longum    πŸ“š PubMed
species Bifidobacterium ruminantium    πŸ“š PubMed
species Clostridium botulinum    πŸ“š PubMed
species Clostridium perfringens    πŸ“š PubMed
species Clostridium sporogenes    πŸ“š PubMed
species Enterococcus faecalis    πŸ“š PubMed
species Escherichia coli    πŸ“š PubMed
species Faecalibacterium prausnitzii    πŸ“š PubMed
species Holdemanella biformis    πŸ“š PubMed
species Lacticaseibacillus rhamnosus    πŸ“š PubMed
species Lactobacillus acidophilus    πŸ“š PubMed
species Lactobacillus gallinarum    πŸ“š PubMed
species Lactobacillus helveticus    πŸ“š PubMed
species Ligilactobacillus ruminis    πŸ“š PubMed
species Limosilactobacillus coleohominis    πŸ“š PubMed
species Limosilactobacillus fermentum    πŸ“š PubMed
species Limosilactobacillus mucosae    πŸ“š PubMed
species Limosilactobacillus pontis    πŸ“š PubMed
species Mitsuokella jalaludinii    πŸ“š PubMed
species Phocaeicola dorei    πŸ“š PubMed
species Staphylococcus epidermidis    πŸ“š PubMed
species Streptococcus agalactiae    πŸ“š PubMed

Kaltoft-Moltrup Normal Ranges, is a licensed properitary statistical algorithm that works off the shape of the data. It is not microbiome specific but appears to work very well for the microbiome. Ranges are NOT lab specific, but for aggregation across labs. Please contact your lab and ask for their Kaltoft-Moltrup Normal Ranges.


BOOM

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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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.
Inventions/Methodologies on this site are Patent Pending.

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