SuperSmart / Bifidobacterium longum (BB536) Bacteria Impacted

Species in SuperSmart / Bifidobacterium longum (BB536)

bifidobacterium longum bb536

Infer Impacts SuperSmart / Bifidobacterium longum (BB536) 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 SuperSmart / Bifidobacterium longum (BB536)

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 %
Absicoccus	0	100
Absiella	0	100
Acetanaerobacterium	0	100
Acetivibrio	0	100
Actinobacillus	100	0
Acutalibacter	0	100
Agathobacter	100	0
Agathobaculum	0	100
Aggregatibacter	100	0
Akkermansia	100	0
Allobaculum	0	100
Allocoprobacillus	0	100
Amedibacillus	0	100
Amedibacterium	0	100
Anaerofilum	0	100
Anaeromassilibacillus	0	100
Anaerorhabdus	0	100
Anaerotruncus	0	100
Angelakisella	0	100
Avibacterium	100	0
Bacteroides	0	100
Basfia	100	0
Beduini	0	100
Bibersteinia	100	0
Bisgaardia	100	0
Bittarella (ex Durand et al. 2017)	0	100
Blautia	100	0
Brevifollis	100	0
Breznakia	0	100
Bulleidia	0	100
Candidatus Soleaferrea	0	100
Candidatus Stoquefichus	0	100
Canicola	100	0
Caproiciproducens	0	100
Catenibacterium	0	100
Catenisphaera	0	100
Chelonobacter	100	0
Copranaerobaculum	0	100
Coprobacillus	0	100
Dielma	0	100
Drancourtella	0	100
Eggerthia	0	100
Erysipelatoclostridium	0	100
Erysipelothrix	0	100
Ethanoligenens	0	100
Faecalibacillus	0	100
Faecalibacterium	50	50
Faecalibaculum	0	100
Faecalicoccus	0	100
Faecalitalea	0	100
Flavonifractor	0	100
Floricoccus	0	100
Fournierella	0	100
Frederiksenia	100	0
Fucophilus	100	0
Gallibacterium	100	0
Gemmiger	0	100
Glaesserella	100	0
Gorbachella	0	100
Haemophilus	100	0
Haloferula	100	0
Harryflintia	0	100
Histophilus	100	0
Holdemanella	0	100
Holdemania	0	100
Hydrogenoanaerobacterium	0	100
Ileibacterium	0	100
Intestinibaculum	0	100
Kandleria	0	100
Lactococcus	0	100
Lactovum	0	100
Longibaculum	0	100
Longicatena	0	100
Luteolibacter	100	0
Mannheimia	100	0
Massilicoli	0	100
Massilimalia	0	100
Massilimicrobiota	0	100
Mediterranea	0	100
Merdibacter	0	100
Mergibacter	100	0
Mesocricetibacter	100	0
Muribacter	100	0
Necropsobacter	100	0
Negativibacillus	0	100
Neglectibacter	0	100
Neobittarella	0	100
Nicoletella	100	0
Oscillospira	0	100
Otariodibacter	100	0
Papillibacter	0	100
Pasteurella	100	0
Persicirhabdus	100	0
Phocaeicola	0	100
Phocea	0	100
Prosthecobacter	100	0
Provencibacterium	0	100
Pseudescherichia	0	100
Pseudoflavonifractor	0	100
Rodentibacter	100	0
Roseburia	0	100
Roseimicrobium	100	0
Ruminococcus	0	100
Ruthenibacterium	0	100
Seminibacterium	100	0
Solobacterium	0	100
Sporobacter	0	100
Streptococcus	0	100
Subdoligranulum	0	100
Sulfuriroseicoccus	100	0
Tannockella	0	100
Terrahaemophilus	100	0
Testudinibacter	100	0
Traorella	0	100
Turicibacter	0	100
Ursidibacter	100	0
Verrucomicrobium	100	0
Vespertiliibacter	100	0
Volucribacter	100	0

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

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