mutaflor / mutaflor Bacteria Impacted

Species in mutaflor / mutaflor

escherichia coli nissle 1917 (mutaflor)

🏆 -This probiotic has been professionally reviewed by Dragana Skokovic-Sunjic BScPhm RPh NCMP and are preferred . They are researched strains and unlikely to be misidentified. Click on flag for more information. Canada USA

Infer Impacts mutaflor / mutaflor on Symptoms

Probiotic:
Symptom:

Not sufficient information to infer impact

WARNING:There are 1 possible histamine producing bacteria in this product. It may impact allergies, mast cell and histamine issues. We do not have data some some strains.

Bacteria Impacts of mutaflor / mutaflor

If you find any studies of this specific probiotic impacting other bacteria, please email ken/at/lassesen.com with the URI

This table is estimated from the impact of EACH species in the probiotics reported in clinical studies. In some cases, one species will increase and another decrease. Often, all of the species have similar (or no impact).

Genus Level Only Listed
Bacteria	Increase %	Decrease %
Acinetobacter	100	0
Agitococcus	100	0
Alistipes	0	100
Alkaliphilus	0	100
Alkanindiges	100	0
Allobaculum	0	100
Anaerobacter	0	100
Anoxynatronum	0	100
Aquirhabdus	100	0
Atlantibacter	16	83
Beduini	0	100
Bifidobacterium	66	33
Biostraticola	25	75
Brassicibacter	0	100
Buttiauxella	16	83
Butyricicoccus	0	100
Butyricimonas	100	0
Caldisalinibacter	0	100
Caloramator	0	100
Caminicella	0	100
Candida	0	100
Candidatus Arthromitus	0	100
Candidatus Borkfalkia	100	0
Candidatus Dwaynesavagella	0	100
Candidatus Ishikawella	16	83
Candidatus Moranella	16	83
Candidatus Phlomobacter	16	83
Candidatus Profftia	16	83
Candidatus Regiella	25	75
Candidatus Riesia	16	83
Candidatus Schneideria	16	83
Cedecea	16	83
Christensenella	100	0
Citrobacter	16	83
Clostridiisalibacter	0	100
Clostridium	50	50
Collinsella	100	0
Crassaminicella	0	100
Cronobacter	16	83
Enterobacter	16	83
Enterococcus	0	100
Entomohabitans	16	83
Escherichia	11	88
Faecalibaculum	100	0
Falcatimonas	0	100
Fervidicella	0	100
Fonticella	0	100
Franconibacter	16	83
Gehongia	100	0
Geosporobacter	0	100
Gibbsiella	25	75
Guopingia	100	0
Hathewaya	0	100
Helicobacter	0	100
Hungatella	0	100
Jejubacter	16	83
Keratinibaculum	0	100
Klebsiella	20	80
Kluyvera	20	80
Kosakonia	16	83
Lactobacillus	50	50
Lactonifactor	0	100
Leclercia	16	83
Lelliottia	16	83
Limnobaculum	25	75
Listeria	0	100
Luoshenia	100	0
Lutispora	0	100
Maledivibacter	0	100
Mangrovibacter	16	83
Massilioclostridium	0	100
Megasphaera	100	0
Metakosakonia	16	83
Moraxella	100	0
Mordavella	0	100
Muribaculum	100	0
Natronincola	0	100
Oceanirhabdus	0	100
Odoribacter	0	100
Oscillibacter	0	100
Oxobacter	0	100
Paraclostridium	0	100
Paramaledivibacter	0	100
Paraperlucidibaca	100	0
Parasutterella	0	100
Phytobacter	16	83
Plesiomonas	16	83
Pluralibacter	16	83
Proteiniclasticum	0	100
Pseudescherichia	16	83
Pseudocitrobacter	16	83
Psychrobacter	100	0
Raoultella	25	75
Rikenella	0	100
Rosenbergiella	25	75
Salmonella	10	90
Sarcina	0	100
Scandinavium	16	83
Senegalia	0	100
Serpentinicella	0	100
Shigella	14	85
Shimwellia	16	83
Siccibacter	16	83
Sporosalibacterium	0	100
Staphylococcus	0	100
Superficieibacter	16	83
Thermobrachium	0	100
Thermohalobacter	0	100
Thermotalea	0	100
Tindallia	0	100
Trabulsiella	16	83
Treponema	0	100
Yokenella	16	83
Youngiibacter	0	100

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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