Species in Yakult

  1. lactobacillus casei shirota

Infer Impacts Yakult on Symptoms

Probiotic:
Symptom:

Not sufficient information to infer impact

Bacteria Impacts of Yakult

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
BacteriaIncrease %Decrease %
Acetilactobacillus 100 0
Acetobacteroides 0 100
Adlercreutzia 100 0
Aeriscardovia 100 0
Agrilactobacillus 100 0
Alistipes 0 100
Alloscardovia 100 0
Amylolactobacillus 100 0
Anaerocella 0 100
Apilactobacillus 100 0
Atlantibacter 0 100
Atopobium 100 0
Bacteroides 0 100
Bifidobacterium 100 0
Bombilactobacillus 100 0
Bombiscardovia 100 0
Buttiauxella 0 100
Candida 0 100
Candidatus Ishikawella 0 100
Candidatus Moranella 0 100
Candidatus Phlomobacter 0 100
Candidatus Profftia 0 100
Candidatus Riesia 0 100
Candidatus Schneideria 0 100
Cedecea 0 100
Citrobacter 0 100
Clostridium 0 100
Collinsella 100 0
Companilactobacillus 100 0
Coriobacterium 100 0
Cronobacter 0 100
Dellaglioa 100 0
Enorma 100 0
Enterobacter 0 100
Entomohabitans 0 100
Escherichia 0 100
Floricoccus 0 100
Franconibacter 0 100
Fructilactobacillus 100 0
Fructobacillus 100 0
Furfurilactobacillus 100 0
Gallalistipes 0 100
Galliscardovia 100 0
Gardnerella 100 0
Holzapfeliella 100 0
Jejubacter 0 100
Kluyvera 0 100
Kosakonia 0 100
Lacticaseibacillus 100 0
Lactiplantibacillus 100 0
Lactobacillus 100 0
Lactococcus 0 100
Lactovum 0 100
Lapidilactobacillus 100 0
Latilactobacillus 100 0
Leclercia 0 100
Lelliottia 0 100
Lentilactobacillus 100 0
Leuconostoc 100 0
Levilactobacillus 100 0
Ligilactobacillus 100 0
Limosilactobacillus 100 0
Liquorilactobacillus 100 0
Loigolactobacillus 100 0
Mangrovibacter 0 100
Megasphaera 100 0
Metakosakonia 0 100
Millionella 0 100
Mucinivorans 0 100
Neoscardovia 100 0
Nicoliella 100 0
Oenococcus 100 0
Olegusella 100 0
Oscillibacter 0 100
Parascardovia 100 0
Parvibacter 100 0
Paucilactobacillus 100 0
Pediococcus 100 0
Periweissella 100 0
Phytobacter 0 100
Plesiomonas 0 100
Pluralibacter 0 100
Pseudescherichia 0 100
Pseudobutyrivibrio 0 100
Pseudocitrobacter 0 100
Pseudoscardovia 100 0
Rikenella 0 100
Roseburia 100 0
Ruminofilibacter 0 100
Salmonella 0 100
Scandinavium 0 100
Scardovia 100 0
Schleiferilactobacillus 100 0
Secundilactobacillus 100 0
Senegalimassilia 100 0
Shigella 0 100
Shimwellia 0 100
Siccibacter 0 100
Staphylococcus 0 100
Streptococcus 0 100
Superficieibacter 0 100
Sutterella 0 100
Tidjanibacter 0 100
Trabulsiella 0 100
Veillonella 100 0
Weissella 100 0
Yokenella 0 100

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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