🍽️ low-sugar

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Data Contradictions β€” Limits of Certainity

Impacted of low-sugar On Probiotics

Rank Probiotic Impact

Bacteria Impacted by low-sugar

We extend modifiers to include items that changes the parent and child taxa. I.e. for a species, that would be the genus that is belongs to and the strains in the species.

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Taxonomy Rank Effect Citations Notation
Actinomycetaceae family Increases 👪 Source Study
Actinomycetaceae family Increases 📓 Source Study
Actinobaculum genus Increases 👶 Source Study
Actinomyces genus Increases 👶 Source Study Pathogen
Actinotignum genus Increases 👶 Source Study
Ancrocorticia genus Increases 👶 Source Study
Arcanobacterium genus Increases 👶 Source Study
Boudabousia genus Increases 👶 Source Study
Bowdeniella genus Increases 👶 Source Study
Buchananella genus Increases 👶 Source Study
Changpingibacter genus Increases 👶 Source Study
Fannyhessea genus Increases 👶 Source Study
Flaviflexus genus Increases 👶 Source Study
Gleimia genus Increases 👶 Source Study
Mobiluncus genus Increases 👶 Source Study
Nanchangia genus Increases 👶 Source Study
Pauljensenia genus Increases 👶 Source Study
Peptidiphaga genus Increases 👶 Source Study
Schaalia genus Increases 👶 Source Study
Trueperella genus Increases 👶 Source Study
Varibaculum genus Increases 👶 Source Study
Winkia genus Increases 👶 Source Study
Actinobaculum genus Increases 📓 Source Study
unclassified Actinobaculum no rank Increases 👶 Source Study
unclassified Actinomycetaceae no rank Increases 👶 Source Study
Actinomycetales order Increases 👪 Source Study
Slackia piriformis species Increases ⚗️ Source Study
Actinobaculum massiliense species Increases 👶 Source Study
Actinobaculum suis species Increases 👶 Source Study
Actinobaculum sp. 313 species Increases 👶 Source Study
Actinobaculum sp. oral taxon 183 species Increases 👶 Source Study
Actinomycineae suborder Increases ⚗️ Source Study

Impact of low-sugar on Conditions from US National Library of Medicine

A higher number indicates impact on more bacteria associated with the condition and confidence on the impact.

We have X bacteria high and Y low reported. We find that the modifier reduces some and increases other of these two groups. We just tally: X|reduces + Y|Increase = Positive   X|increases + Y|decrease = Negative.

Benefit Ratio:
Numbers above 0 have increasing positive effect.
Numbers below 0 have increasing negative effect.

Condition Positive Impact Negative Impact Benefit Ratio Impact
Ankylosing spondylitis 0.2 -0.2
Anorexia Nervosa 0.4 -0.4
Autism 0.2 -0.2
Barrett esophagus cancer 0.6 0.6
Celiac Disease 0.2 0.3 -0.5
Chronic Fatigue Syndrome 0.2 -0.2
COVID-19 0.2 -0.2
Crohn's Disease 0.2 -0.2
Depression 0.2 -0.2
Eosinophilic Esophagitis 0.2 0.2
Epilepsy 0.2 -0.2
Graves' disease 0.8 0.8
Halitosis 0.2 -0.2
Inflammatory Bowel Disease 0.2 -0.2
Liver Cirrhosis 0.2 0.2 0
Long COVID 0.6 -0.6
Mood Disorders 0.5 -0.5
multiple chemical sensitivity [MCS] 0.2 -0.2
Nonalcoholic Fatty Liver Disease (nafld) Nonalcoholic 0.3 0.3
Obesity 0.2 0.2
obsessive-compulsive disorder 0.2 0.2
Osteoporosis 0.2 -0.2
rheumatoid arthritis (RA),Spondyloarthritis (SpA) 0.2 -0.2
Schizophrenia 0.5 -0.5
Ulcerative colitis 0.2 -0.2
Unhealthy Ageing 0.2 -0.2

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