anabolic laboratories / probiotic complete Bacteria Impacted

Species in anabolic laboratories / probiotic complete

Infer Impacts anabolic laboratories / probiotic complete 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.
WARNING:There are 3 lactic acid producing bacteria in this product. If you have 'brain fog' and other cognitive issues, it may make it worst. See this post. Low lactic acid producers are included in the count.

Bacteria Impacts of anabolic laboratories / probiotic complete

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 %
Abyssicoccus	20	80
Abyssivirga	50	50
Acetanaerobacterium	80	20
Acetatifactor	66	33
Acetilactobacillus	100	0
Acetitomaculum	66	33
Acetivibrio	80	20
Acetobacterium	100	0
Acidaminococcus	100	0
Acinetobacter	100	0
Actinobaculum	0	100
Actinomyces	0	100
Actinotignum	0	100
Acutalibacter	80	20
Adlercreutzia	100	0
Aeriscardovia	66	33
Aerococcus	100	0
Agathobacter	71	28
Agathobaculum	80	20
Aggregatibacter	0	100
Agitococcus	100	0
Agrilactobacillus	100	0
Akkermansia	100	0
Aliicoccus	20	80
Alistipes	50	50
Alkalibacter	100	0
Alkalibaculum	100	0
Alkaliphilus	33	66
Alkanindiges	100	0
Allisonella	50	50
Allobaculum	100	0
Alloprevotella	100	0
Alloscardovia	66	33
Alterileibacterium	0	100
Aminicella	100	0
Amygdalobacter	100	0
Amylolactobacillus	100	0
Anaerobacter	33	66
Anaerobacterium	100	0
Anaerobium	66	33
Anaerobutyricum	66	33
Anaerocolumna	66	33
Anaerofilum	80	20
Anaerofustis	100	0
Anaeroglobus	50	50
Anaeromassilibacillus	80	20
Anaeromicropila	66	33
Anaeropeptidivorans	66	33
Anaerorhabdus	33	66
Anaerosacchariphilus	66	33
Anaerosporobacter	66	33
Anaerostipes	66	33
Anaerotaenia	66	33
Anaerotignum	66	33
Anaerotruncus	83	16
Ancrocorticia	0	100
Angelakisella	80	20
Anoxynatronum	33	66
Anthropogastromicrobium	66	33
Apilactobacillus	100	0
Aquirhabdus	100	0
Arcanobacterium	0	100
Atlantibacter	0	100
Atopobium	100	0
Atopomonas	100	0
Auricoccus	25	75
Bacteroides	46	61
Bariatricus	66	33
Beduini	33	66
Bifidobacterium	90	10
Bilophila	0	100
Biostraticola	0	100
Bittarella (ex Durand et al. 2017)	80	20
Blautia	77	33
Bombilactobacillus	100	0
Bombiscardovia	66	33
Boudabousia	0	100
Bowdeniella	0	100
Brassicibacter	33	66
Brotaphodocola	66	33
Buchananella	0	100
Buttiauxella	0	100
Butyribacter	66	33
Butyricicoccus	25	75
Butyrivibrio	66	33
Caecibacter	50	50
Caldisalinibacter	33	66
Caloramator	33	66
Caminicella	33	66
Campylobacter	0	100
Candida	0	100
Candida	0	100
Candidatus Amulumruptor	100	0
Candidatus Arthromitus	33	66
Candidatus Dwaynesavagella	33	66
Candidatus Epulonipiscium	66	33
Candidatus Homeothermus	100	0
Candidatus Ishikawella	0	100
Candidatus Moranella	0	100
Candidatus Phlomobacter	0	100
Candidatus Profftia	0	100
Candidatus Regiella	0	100
Candidatus Riesia	0	100
Candidatus Schneideria	0	100
Candidatus Soleaferrea	66	33
Caproicibacter	100	0
Caproicibacterium	100	0
Caproiciproducens	80	20
Catenibacillus	66	33
Catonella	66	33
Cedecea	0	100
Cellulosibacter	100	0
Cellulosilyticum	50	50
Changpingibacter	0	100
Chordicoccus	66	33
Citrobacter	0	100
Claveliimonas	66	33
Clostridiisalibacter	33	66
Clostridioides	0	100
Clostridium	33	77
Colibacter	50	50
Collinsella	100	0
Companilactobacillus	100	0
Congzhengia	100	0
Coprococcus	66	33
Coriobacterium	100	0
Crassaminicella	33	66
Cronobacter	0	100
Cuneatibacter	66	33
Dellaglioa	100	0
Denitrificimonas	100	0
Desulfobaculum	0	100
Desulfocurvibacter	0	100
Desulfocurvus	0	100
Desulfolutivibrio	0	100
Desulfomicrobium	100	0
Desulfovibrio	0	100
Dialister	50	50
Diplocloster	66	33
Dolosigranulum	0	100
Dorea	66	33
Drancourtella	80	20
Duncaniella	100	0
Duodenibacillus	0	100
Dysosmobacter	100	0
Eisenbergiella	66	33
Enorma	100	0
Enterobacter	11	88
Enterocloster	66	33
Enterococcus	50	50
Entomohabitans	0	100
Entomomonas	100	0
Ercella	100	0
Erysipelatoclostridium	100	0
Escherichia	8	96
Ethanoligenens	80	20
Eubacterium	75	25
Extibacter	66	33
Faecalibacterium	80	20
Faecalicatena	66	33
Faecalimonas	66	33
Faecousia	100	0
Falcatimonas	33	66
Fastidiosipila	100	0
Fervidicella	33	66
Flaviflexus	0	100
Flavonifractor	80	20
Flexispira	0	100
Floricoccus	0	100
Fonticella	33	66
Fournierella	80	20
Franconibacter	0	100
Frisingicoccus	66	33
Fructilactobacillus	100	0
Fructobacillus	100	0
Fumia	100	0
Fundidesulfovibrio	0	100
Furfurilactobacillus	100	0
Fusicatenibacter	71	28
Fusobacterium	0	100
Gallibacter	100	0
Gallintestinimicrobium	66	33
Galliscardovia	66	33
Garciella	100	0
Gardnerella	66	33
Gemmiger	66	33
Geosporobacter	33	66
Gibbsiella	0	100
Gleimia	0	100
Gluceribacter	66	33
Gorbachella	80	20
Halodesulfovibrio	0	100
Halopseudomonas	100	0
Harryflintia	80	20
Hathewaya	33	66
Helicobacter	0	100
Herbinix	66	33
Hespellia	66	33
Holzapfeliella	100	0
Hominenteromicrobium	100	0
Hominicoprocola	100	0
Hominifimenecus	66	33
Hominilimicola	100	0
Hominisplanchenecus	66	33
Hoministercoradaptatus	66	33
Hominiventricola	66	33
Humidesulfovibrio	0	100
Hungatella	33	66
Hydrogeniiclostridium	100	0
Hydrogenoanaerobacterium	80	20
Ileibacterium	0	100
Intestinibacillus	100	0
Jejubacter	0	100
Jeotgalicoccus	20	80
Jingyaoa	66	33
Johnsonella	66	33
Jutongia	66	33
Keratinibaculum	33	66
Kineothrix	66	33
Klebsiella	0	100
Kluyvera	0	100
Kosakonia	0	100
Lachnoanaerobaculum	66	33
Lachnobacterium	66	33
Lachnoclostridium	66	33
Lachnospira	66	33
Lachnotalea	66	33
Lacrimispora	66	33
Lacticaseibacillus	83	16
Lactiplantibacillus	100	0
Lactobacillus	93	6
Lactococcus	0	100
Lactonifactor	33	66
Lactovum	0	100
Lapidilactobacillus	100	0
Latilactobacillus	100	0
Lawsonia	0	100
Lawsonibacter	100	0
Leclercia	0	100
Lelliottia	0	100
Lentilactobacillus	100	0
Leptotrichia	100	0
Leuconostoc	100	0
Levilactobacillus	100	0
Lientehia	66	33
Ligaoa	100	0
Ligilactobacillus	100	0
Limnobaculum	0	100
Limosilactobacillus	100	0
Liquorilactobacillus	100	0
Listeria	0	100
Loigolactobacillus	100	0
Lutispora	33	66
Luxibacter	66	33
Macrococcus	20	80
Mageeibacillus	100	0
Mailhella	0	100
Maledivibacter	33	66
Mammaliicoccus	20	80
Mangrovibacter	0	100
Marasmitruncus	100	0
Maridesulfovibrio	0	100
Marseillibacter	100	0
Marvinbryantia	66	33
Massiliimalia	100	0
Massilimalia	50	50
Massilioclostridium	33	66
Mediterranea	33	66
Mediterraneibacter	66	33
Megalodesulfovibrio	0	100
Megasphaera	75	25
Merdimmobilis	100	0
Merdimonas	66	33
Mesosutterella	0	100
Metakosakonia	0	100
Mobilitalea	66	33
Mobiluncus	0	100
Monoglobus	100	0
Moraxella	100	0
Mordavella	33	66
Moryella	66	33
Muribaculum	100	0
Muricomes	66	33
Murimonas	66	33
Nanchangia	0	100
Natronincola	33	66
Negativibacillus	66	33
Negativicoccus	50	50
Neglectibacter	80	20
Neobittarella	80	20
Neoscardovia	66	33
Niameybacter	66	33
Nicoliella	100	0
Nitratidesulfovibrio	0	100
Nosocomiicoccus	20	80
Novisyntrophococcus	66	33
Oblitimonas	100	0
Oceanidesulfovibrio	0	100
Oceanirhabdus	33	66
Oenococcus	100	0
Olegusella	100	0
Oleidesulfovibrio	0	100
Oliverpabstia	66	33
Oribacterium	66	33
Oscillibacter	100	0
Oscillospira	80	20
Oxobacter	33	66
Papillibacter	80	20
Parabacteroides	66	33
Parablautia	66	33
Paraclostridium	50	50
Paradesulfovibrio (ex Waite et al. 2020)	0	100
Paramaledivibacter	33	66
Paramuribaculum	100	0
Paraperlucidibaca	100	0
Paraprevotella	100	0
Pararoseburia	66	33
Parascardovia	66	33
Parasporobacterium	66	33
Parasutterella	50	50
Parvibacter	100	0
Paucidesulfovibrio	0	100
Paucilactobacillus	100	0
Pauljensenia	0	100
Pediococcus	100	0
Peptidiphaga	0	100
Periweissella	100	0
Permianibacter	100	0
Petroclostridium	100	0
Phascolarctobacterium	100	0
Phocaeicola	33	66
Phocea	80	20
Phytobacter	0	100
Plesiomonas	0	100
Pluralibacter	0	100
Porcincola	66	33
Porphyromonas	0	100
Prevotella	75	25
Propionivibrio	100	0
Proteiniclasticum	33	66
Provencibacterium	80	20
Pseudescherichia	0	100
Pseudobacteroides	100	0
Pseudobutyrivibrio	66	33
Pseudocitrobacter	0	100
Pseudoclostridium	100	0
Pseudoflavonifractor	80	20
Pseudomonas	100	0
Pseudoramibacter	100	0
Pseudoruminococcus	100	0
Pseudoscardovia	66	33
Psychrobacter	100	0
Pusillibacter	100	0
Pygmaiobacter	100	0
Qiania	66	33
Ralstonia	0	100
Raoultella	0	100
Robinsoniella	66	33
Romboutsia	50	50
Roseburia	75	25
Rosenbergiella	0	100
Ructibacterium	100	0
Ruminiclostridium	100	0
Ruminococcus	80	20
Ruthenibacterium	80	20
Saccharofermentans	100	0
Sakamotonia	50	50
Salidesulfovibrio	0	100
Salinicoccus	20	80
Salmonella	0	100
Sarcina	33	66
Scandinavium	0	100
Scardovia	66	33
Schaalia	0	100
Schaedlerella	66	33
Schleiferilactobacillus	100	0
Secundilactobacillus	100	0
Sellimonas	66	33
Senegalia	33	66
Senegalimassilia	100	0
Serpentinicella	33	66
Sharpea	100	0
Shigella	0	100
Shimwellia	0	100
Shuttleworthella	66	33
Shuzhengia	100	0
Siccibacter	0	100
Simiaoa	66	33
Slackia	100	0
Sodaliphilus	100	0
Solibaculum	100	0
Solidesulfovibrio	0	100
Sporobacter	80	20
Sporobacterium	66	33
Sporofaciens	66	33
Sporosalibacterium	33	66
Staphylococcus	11	88
Stomatobaculum	66	33
Streptococcus	0	100
Stutzerimonas	100	0
Subdoligranulum	83	16
Suonthocola	66	33
Superficieibacter	0	100
Sutterella	0	100
Syntrophococcus	66	33
Thermobrachium	33	66
Thermocaproicibacter	100	0
Thermoclostridium	100	0
Thermohalobacter	33	66
Thermotalea	33	66
Thiopseudomonas	100	0
Tindallia	33	66
Trabulsiella	0	100
Trueperella	0	100
Turicibacter	0	100
Turicimonas	0	100
Tyzzerella	66	33
Varibaculum	0	100
Veillonella	25	75
Vescimonas	100	0
Waltera	66	33
Wansuia	66	33
Weissella	100	0
Winkia	0	100
Wolinella	0	100
Wujia	66	33
Yanshouia	100	0
Yokenella	0	100
Youngiibacter	33	66
Youxingia	100	0
Zhenhengia	66	33

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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